@article {689, title = {Calcium channel blocker use and gastrointestinal tract bleeding among older adults.}, journal = {Age Ageing}, volume = {31}, year = {2002}, month = {2002 May}, pages = {217-8}, keywords = {Aged, Antihypertensive Agents, Calcium Channel Blockers, Gastrointestinal Hemorrhage, Geriatric Assessment, Health Services for the Aged, Humans, Hypertension, Prospective Studies, Risk Factors}, issn = {0002-0729}, doi = {10.1093/ageing/31.3.217}, author = {Kaplan, Robert C and Heckbert, Susan R and Koepsell, Thomas D and Rosendaal, Frits R and Furberg, Curt D and Cooper, Lawton S and Psaty, Bruce M} } @article {917, title = {Blood pressure level and outcomes in adults aged 65 and older with prior ischemic stroke.}, journal = {J Am Geriatr Soc}, volume = {54}, year = {2006}, month = {2006 Sep}, pages = {1309-16}, abstract = {

OBJECTIVES: To examine the association between blood pressure (BP) levels and long-term stroke outcomes in elderly stroke survivors.

DESIGN: Observational study.

SETTING: The Cardiovascular Health Study (CHS) of 5,888 community-dwelling adults.

PARTICIPANTS: Two hundred fifty-four adults aged 65 and older (mean age 78.6) who sustained a nonfatal first ischemic stroke.

MEASUREMENTS: BP levels assessed at prestroke and poststroke CHS visits were examined as predictors of stroke recurrence, coronary heart disease (CHD), combined vascular events (CVEs), and mortality.

RESULTS: Higher poststroke BP level, assessed 261.6 days (mean) after stroke, was associated with higher risk of stroke recurrence over 5.4 years (mean) of follow-up. The multivariate-adjusted hazard ratio for stroke recurrence was 1.42 (95\% confidence interval (CI) = 1.03-1.99) per standard deviation (SD) of systolic BP (P = .04) and 1.39 (95\% CI = 1.01-1.91) per SD of diastolic BP (P = .04). Mortality was significantly greater in patients with low or high poststroke BP than in those with intermediate BP. Poststroke BP was not associated with risk of CHD or CVE, although further analyses suggested that high systolic BP predicted CHD and CVE in younger but not older subjects. Prestroke BP did not predict poststroke outcomes.

CONCLUSION: In this observational study of adults aged 65 and older assessed approximately 8 months after stroke, low BP was associated with favorable risk of recurrent stroke, although high and low poststroke BP levels were associated with greater mortality. Long-term antihypertensive trials in older stroke survivors would increase knowledge about the benefits of lowering BP in this population.

}, keywords = {Aged, Aged, 80 and over, Blood Pressure, Brain Ischemia, Female, Follow-Up Studies, Humans, Male, Outcome Assessment, Health Care, Prospective Studies, Recurrence, Stroke, Survival Rate}, issn = {0002-8614}, doi = {10.1111/j.1532-5415.2006.00838.x}, author = {Kaplan, Robert C and Tirschwell, David L and Longstreth, W T and Manolio, Teri A and Heckbert, Susan R and LeValley, Aaron J and Lefkowitz, David and El-Saed, Aiman and Psaty, Bruce M} } @article {940, title = {Association of total insulin-like growth factor-I, insulin-like growth factor binding protein-1 (IGFBP-1), and IGFBP-3 levels with incident coronary events and ischemic stroke.}, journal = {J Clin Endocrinol Metab}, volume = {92}, year = {2007}, month = {2007 Apr}, pages = {1319-25}, abstract = {

CONTEXT: Prior observational studies have demonstrated that the GH/IGF axis is associated with cardiovascular disease. However, this association has not been extensively studied among older adults.

OBJECTIVE: The objective of this study was to assess the association between levels of total IGF-I and IGF binding proteins (IGFBP-1, IGFBP-3) and risk of incident coronary events and ischemic stroke.

DESIGN AND PARTICIPANTS: A case-cohort analysis was conducted among adults 65 yr and older in the Cardiovascular Health Study.

MAIN OUTCOME MEASURES: A total of 534 coronary events [316 nonfatal myocardial infarctions (MIs), 48 fatal MIs, and 170 fatal coronary heart disease events] and 370 ischemic strokes were identified on follow-up. Comparison subjects were 1122 randomly selected participants from the Cardiovascular Health Study.

RESULTS: Mean follow-up time was 6.7 yr for coronary events, 5.6 yr for strokes, and 9.3 yr for comparison subjects. Hazard ratios (95\% confidence intervals) associated with baseline levels of total IGF-I and IGFBPs were estimated using multivariate adjusted Cox proportional hazards models. Neither IGF-I nor IGFBP-1 levels predicted risk of incident coronary events or stroke. IGFBP-3 had an inverse association with risk of coronary events [adjusted hazard ratio per sd=0.88 (0.78-1.00), P=0.05] but was not associated with stroke. Exploratory analyses suggested that low IGF-I and low IGFBP-3 levels were significantly associated with higher risk of nonfatal MI (P<0.05) but not with risk of fatal MI or fatal coronary heart disease.

CONCLUSION: Circulating levels of total IGF-I or IGFBP-1 were not associated with risk of total coronary events or ischemic stroke among older adults, whereas low IGFBP-3 level was associated with increased risk of incident coronary events.

}, keywords = {Aged, Cardiovascular Diseases, Case-Control Studies, Cohort Studies, Coronary Disease, Female, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Multivariate Analysis, Risk Factors, Stroke}, issn = {0021-972X}, doi = {10.1210/jc.2006-1631}, author = {Kaplan, Robert C and McGinn, Aileen P and Pollak, Michael N and Kuller, Lewis H and Strickler, Howard D and Rohan, Tom E and Cappola, Anne R and Xue, XiaoNan and Psaty, Bruce M} } @article {1035, title = {High insulinlike growth factor binding protein 1 level predicts incident congestive heart failure in the elderly.}, journal = {Am Heart J}, volume = {155}, year = {2008}, month = {2008 Jun}, pages = {1006-12}, abstract = {

BACKGROUND: Low levels of insulinlike growth factor 1 (IGF-I) may influence the development of age-related cardiovascular diseases including congestive heart failure (CHF). Insulinlike growth factor binding protein 1 (IGFBP-1), which increases during catabolic states and inhibits anabolic IGF-I effects, is increased in patients with CHF and has been associated prospectively with increased mortality among older adults and survivors of myocardial infarction. We investigated the association between fasting plasma levels of IGF-I, IGFBP-1, IGFBP-3, and insulin and risk of incident CHF in the prospective Cardiovascular Health Study.

METHODS: From among 5,888 adults 65 years old and older in the Cardiovascular Health Study, we studied 566 incident CHF cases and 1,072 comparison subjects after exclusion of underweight individuals (body mass index <18.5 kg/m(2)) and insulin users. Hazard ratios (HRs) with 95\% CIs for CHF were estimated after adjustment for age, race, sex, hypertension, systolic blood pressure, lipid levels, left ventricular hypertrophy, coronary disease, C-reactive protein, health status, diabetes, and body mass index.

RESULTS: High baseline IGFBP-1 level was a significant predictor of CHF, independent of established CHF risk factors and inflammation markers. The HR per SD of IGFBP-1 was 1.22 (95\% CI 1.07-1.39, P < .01). Relative to the lowest IGFBP-1 tertile, the HR was 1.29 (95\% CI 0.96-1.74, P = .09) for the second IGFBP-1 tertile and 1.47 (95\% CI 1.06-2.04; P = .02) for the highest IGFBP-1 tertile (tertile cut points 19.5 and 35.8 ng/mL). Total IGF-I, IGFBP-3, or insulin levels had no association with CHF after adjustment for CHF risk factors.

CONCLUSIONS: High circulating IGFBP-1 level may be a CHF risk factor among older adults.

}, keywords = {Aged, Aged, 80 and over, Female, Heart Failure, Humans, Incidence, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Predictive Value of Tests, Prospective Studies, Risk Factors}, issn = {1097-6744}, doi = {10.1016/j.ahj.2007.12.031}, author = {Kaplan, Robert C and McGinn, Aileen P and Pollak, Michael N and Kuller, Lewis and Strickler, Howard D and Rohan, Thomas E and Cappola, Anne R and Xue, XiaoNan and Psaty, Bruce M} } @article {991, title = {Insulin-like growth factor-(IGF)-axis, inflammation, and glucose intolerance among older adults.}, journal = {Growth Horm IGF Res}, volume = {18}, year = {2008}, month = {2008 Apr}, pages = {166-73}, abstract = {

Increasing evidence suggests that the insulin-like growth factor (IGF)-axis may play a role in glucose metabolism and may also be associated with systemic inflammation. The aim of this study was to evaluate the association of insulin-like growth factor-1 (IGF-I) and its binding proteins, IGFBP-1 and IGFBP-3, with glucose intolerance and inflammation among older adults. We conducted a cross-sectional analysis in a in a random subsample (n=922) of the Cardiovascular Health Study (CHS), a prospective cohort of men and women > or = 65 years. Mean IGFBP-1 levels were significantly lower in older adults with impaired glucose tolerance (IGT), impaired fasting glucose (IFG) and diabetes compared to those with normal fasting and post-load glucose. High IGFBP-1 was associated with a reduced prevalence of IGT and IFG; the multivariable OR between extreme quartiles of IGFBP-1 was 0.60 (95\% CI: 0.37, 0.95; p-trend: 0.03) for IGT and 0.41 (95\% CI: 0.26, 0.64; p-trend: <0.01) for IFG. We did not find any significant association between IGF-I and glucose intolerance in this study and the association for IGFBP-3 was less clear. However, low levels of IGF-I and IGFBP-3 were associated with increased levels of markers of inflammation including C-reactive protein and interleukin-6 levels. We conclude that among adults > or = 65 years, low IGFBP-1 levels are associated with increased prevalence of glucose intolerance. We did not confirm prior associations of low IGF-I with glucose intolerance in this cohort of older individuals.

}, keywords = {Aged, Aged, 80 and over, Cohort Studies, Cross-Sectional Studies, Female, Glucose Intolerance, Humans, Inflammation, Insulin-Like Growth Factor Binding Proteins, Male, Signal Transduction, Somatomedins}, issn = {1096-6374}, doi = {10.1016/j.ghir.2007.08.004}, author = {Rajpathak, Swapnil N and McGinn, Aileen P and Strickler, Howard D and Rohan, Thomas E and Pollak, Michael and Cappola, Anne R and Kuller, Lewis and Xue, XiaoNan and Newman, Anne B and Strotmeyer, Elsa S and Psaty, Bruce M and Kaplan, Robert C} } @article {1021, title = {Total insulinlike growth factor 1 and insulinlike growth factor binding protein levels, functional status, and mortality in older adults.}, journal = {J Am Geriatr Soc}, volume = {56}, year = {2008}, month = {2008 Apr}, pages = {652-60}, abstract = {

OBJECTIVES: To assess the association between total insulinlike growth factor (IGF)-1, IGF binding protein-1 (IGFBP-1), and IGFBP-3 levels and functioning and mortality in older adults.

DESIGN: Cohort study.

SETTING/PARTICIPANTS: One thousand one hundred twenty-two individuals aged 65 and older without prior cardiovascular disease events participating in the Cardiovascular Health Study.

MEASUREMENTS: Baseline fasting plasma levels of IGF-1, IGFBP-1, and IGFBP-3 (defined as tertiles, T1-T3) were examined in relationship to handgrip strength, time to walk 15 feet, development of new difficulties with activities of daily living (ADLs), and mortality.

RESULTS: Higher IGFBP-1 predicted worse handgrip strength (P-trend(T1-T3)<.01) and slower walking speed (P-trend(T1-T3)=.03), lower IGF-1 had a borderline significant association with worse handgrip strength (P-trend(T1-T3)=.06), and better grip strength was observed in the middle IGFBP-3 tertile than in the low or high tertiles (P=.03). Adjusted for age, sex, and race, high IGFBP-1 predicted greater mortality (P-trend(T1-T3)<.001, hazard ratio (HR)(T3vsT1)=1.48, 95\% confidence interval (CI)=1.15-1.90); this association was borderline significant after additional confounder adjustment (P-trend(T1-T3)=.05, HR(T3vsT1)=1.35, 95\% CI=0.98-1.87). High IGFBP-1 was associated with greater risk of incident ADL difficulties after adjustment for age, sex, race, and other confounders (P-trend(T1-T3)=.04, HR(T3vsT1)=1.40, CI=1.01-1.94). Neither IGF-1 nor IGFBP-3 level predicted mortality or incident ADL difficulties.

CONCLUSION: In adults aged 65 and older, high IGFBP-1 levels were associated with greater risk of mortality and poorer functional ability, whereas IGF-1 and IGFBP-3 had little association with these outcomes.

}, keywords = {Activities of Daily Living, Aged, Aged, 80 and over, Biomarkers, Cardiovascular Diseases, Enzyme-Linked Immunosorbent Assay, Fasting, Female, Follow-Up Studies, Hand Strength, Humans, Incidence, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Middle Aged, Prognosis, Prospective Studies, Risk Factors, Survival Rate, United States, Walking}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2007.01637.x}, author = {Kaplan, Robert C and McGinn, Aileen P and Pollak, Michael N and Kuller, Lewis and Strickler, Howard D and Rohan, Thomas E and Xue, XiaoNan and Kritchevsky, Stephen B and Newman, Anne B and Psaty, Bruce M} } @article {1088, title = {Insulin-like growth factors and leukocyte telomere length: the cardiovascular health study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {64}, year = {2009}, month = {2009 Nov}, pages = {1103-6}, abstract = {

The insulin-like growth factor (IGF) axis may affect immune cell replicative potential and telomere dynamics. Among 551 adults 65 years and older, leukocyte telomere length (LTL), insulin-like growth factor-1 (IGF-1), and insulin-like growth factor-binding proteins 1 and 3 (IGFBP-1, IGFBP-3) were measured. Multivariate linear regression was used to model the association of LTL with IGF-1 and IGFBPs, while controlling for confounding and increasing precision by adjusting for covariates. We observed a significant association between higher IGF-1 and longer LTL after adjustment for age, sex, race, smoking status, body mass index, hypertension, diabetes, and serum lipids. The results suggested an increase of .08 kb in LTL for each standard deviation increase of IGF-1 (p = .04). IGFBP-1 and IGFBP-3 were not significantly associated with LTL. High IGF-1 may be an independent predictor of longer LTL, consistent with prior evidence suggesting a role for IGF-1 in mechanisms relating to telomere maintenance.

}, keywords = {Aged, Aging, Cross-Sectional Studies, Female, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor Binding Proteins, Insulin-Like Growth Factor I, Leukocytes, Linear Models, Male, Sex Characteristics, Telomere}, issn = {1758-535X}, doi = {10.1093/gerona/glp036}, author = {Kaplan, Robert C and Fitzpatrick, Annette L and Pollak, Michael N and Gardner, Jeffrey P and Jenny, Nancy S and McGinn, Aileen P and Kuller, Lewis H and Strickler, Howard D and Kimura, Masayuki and Psaty, Bruce M and Aviv, Abraham} } @article {1107, title = {NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {5}, year = {2009}, month = {2009 Jun}, pages = {e1000539}, abstract = {

Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4x10(-7))]. The association with NRXN3 was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3x10(-8) for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4x10(-6), 0.024 z-score units (0.10 kg/m(2)) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95\% CI 1.07-1.19; p = 3.2x10(-5) per copy of the G allele). The NRXN3 gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in NRXN3 are associated with WC, BMI, and obesity.

}, keywords = {Aged, Body Mass Index, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Obesity, Polymorphism, Single Nucleotide, Waist Circumference}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1000539}, author = {Heard-Costa, Nancy L and Zillikens, M Carola and Monda, Keri L and Johansson, Asa and Harris, Tamara B and Fu, Mao and Haritunians, Talin and Feitosa, Mary F and Aspelund, Thor and Eiriksdottir, Gudny and Garcia, Melissa and Launer, Lenore J and Smith, Albert V and Mitchell, Braxton D and McArdle, Patrick F and Shuldiner, Alan R and Bielinski, Suzette J and Boerwinkle, Eric and Brancati, Fred and Demerath, Ellen W and Pankow, James S and Arnold, Alice M and Chen, Yii-Der Ida and Glazer, Nicole L and McKnight, Barbara and Psaty, Bruce M and Rotter, Jerome I and Amin, Najaf and Campbell, Harry and Gyllensten, Ulf and Pattaro, Cristian and Pramstaller, Peter P and Rudan, Igor and Struchalin, Maksim and Vitart, Veronique and Gao, Xiaoyi and Kraja, Aldi and Province, Michael A and Zhang, Qunyuan and Atwood, Larry D and Dupuis, Jos{\'e}e and Hirschhorn, Joel N and Jaquish, Cashell E and O{\textquoteright}Donnell, Christopher J and Vasan, Ramachandran S and White, Charles C and Aulchenko, Yurii S and Estrada, Karol and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Witteman, Jacqueline C M and Oostra, Ben A and Kaplan, Robert C and Gudnason, Vilmundur and O{\textquoteright}Connell, Jeffrey R and Borecki, Ingrid B and van Duijn, Cornelia M and Cupples, L Adrienne and Fox, Caroline S and North, Kari E} } @article {1237, title = {Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Nov}, pages = {937-48}, abstract = {

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and \~{} 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 {\texttimes} 10$^{-}$$^{8}$), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

}, keywords = {Body Height, Body Mass Index, Body Size, Body Weight, Chromosome Mapping, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Obesity, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.686}, author = {Speliotes, Elizabeth K and Willer, Cristen J and Berndt, Sonja I and Monda, Keri L and Thorleifsson, Gudmar and Jackson, Anne U and Lango Allen, Hana and Lindgren, Cecilia M and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Randall, Joshua C and Vedantam, Sailaja and Winkler, Thomas W and Qi, Lu and Workalemahu, Tsegaselassie and Heid, Iris M and Steinthorsdottir, Valgerdur and Stringham, Heather M and Weedon, Michael N and Wheeler, Eleanor and Wood, Andrew R and Ferreira, Teresa and Weyant, Robert J and Segr{\`e}, Ayellet V and Estrada, Karol and Liang, Liming and Nemesh, James and Park, Ju-Hyun and Gustafsson, Stefan and Kilpel{\"a}inen, Tuomas O and Yang, Jian and Bouatia-Naji, Nabila and Esko, T{\~o}nu and Feitosa, Mary F and Kutalik, Zolt{\'a}n and Mangino, Massimo and Raychaudhuri, Soumya and Scherag, Andre and Smith, Albert Vernon and Welch, Ryan and Zhao, Jing Hua and Aben, Katja K and Absher, Devin M and Amin, Najaf and Dixon, Anna L and Fisher, Eva and Glazer, Nicole L and Goddard, Michael E and Heard-Costa, Nancy L and Hoesel, Volker and Hottenga, Jouke-Jan and Johansson, Asa and Johnson, Toby and Ketkar, Shamika and Lamina, Claudia and Li, Shengxu and Moffatt, Miriam F and Myers, Richard H and Narisu, Narisu and Perry, John R B and Peters, Marjolein J and Preuss, Michael and Ripatti, Samuli and Rivadeneira, Fernando and Sandholt, Camilla and Scott, Laura J and Timpson, Nicholas J and Tyrer, Jonathan P and van Wingerden, Sophie and Watanabe, Richard M and White, Charles C and Wiklund, Fredrik and Barlassina, Christina and Chasman, Daniel I and Cooper, Matthew N and Jansson, John-Olov and Lawrence, Robert W and Pellikka, Niina and Prokopenko, Inga and Shi, Jianxin and Thiering, Elisabeth and Alavere, Helene and Alibrandi, Maria T S and Almgren, Peter and Arnold, Alice M and Aspelund, Thor and Atwood, Larry D and Balkau, Beverley and Balmforth, Anthony J and Bennett, Amanda J and Ben-Shlomo, Yoav and Bergman, Richard N and Bergmann, Sven and Biebermann, Heike and Blakemore, Alexandra I F and Boes, Tanja and Bonnycastle, Lori L and Bornstein, Stefan R and Brown, Morris J and Buchanan, Thomas A and Busonero, Fabio and Campbell, Harry and Cappuccio, Francesco P and Cavalcanti-Proen{\c c}a, Christine and Chen, Yii-Der Ida and Chen, Chih-Mei and Chines, Peter S and Clarke, Robert and Coin, Lachlan and Connell, John and Day, Ian N M and den Heijer, Martin and Duan, Jubao and Ebrahim, Shah and Elliott, Paul and Elosua, Roberto and Eiriksdottir, Gudny and Erdos, Michael R and Eriksson, Johan G and Facheris, Maurizio F and Felix, Stephan B and Fischer-Posovszky, Pamela and Folsom, Aaron R and Friedrich, Nele and Freimer, Nelson B and Fu, Mao and Gaget, Stefan and Gejman, Pablo V and Geus, Eco J C and Gieger, Christian and Gjesing, Anette P and Goel, Anuj and Goyette, Philippe and Grallert, Harald and Gr{\"a}ssler, J{\"u}rgen and Greenawalt, Danielle M and Groves, Christopher J and Gudnason, Vilmundur and Guiducci, Candace and Hartikainen, Anna-Liisa and Hassanali, Neelam and Hall, Alistair S and Havulinna, Aki S and Hayward, Caroline and Heath, Andrew C and Hengstenberg, Christian and Hicks, Andrew A and Hinney, Anke and Hofman, Albert and Homuth, Georg and Hui, Jennie and Igl, Wilmar and Iribarren, Carlos and Isomaa, Bo and Jacobs, Kevin B and Jarick, Ivonne and Jewell, Elizabeth and John, Ulrich and J{\o}rgensen, Torben and Jousilahti, Pekka and Jula, Antti and Kaakinen, Marika and Kajantie, Eero and Kaplan, Lee M and Kathiresan, Sekar and Kettunen, Johannes and Kinnunen, Leena and Knowles, Joshua W and Kolcic, Ivana and K{\"o}nig, Inke R and Koskinen, Seppo and Kovacs, Peter and Kuusisto, Johanna and Kraft, Peter and Kval{\o}y, Kirsti and Laitinen, Jaana and Lantieri, Olivier and Lanzani, Chiara and Launer, Lenore J and Lecoeur, C{\'e}cile and Lehtim{\"a}ki, Terho and Lettre, Guillaume and Liu, Jianjun and Lokki, Marja-Liisa and Lorentzon, Mattias and Luben, Robert N and Ludwig, Barbara and Manunta, Paolo and Marek, Diana and Marre, Michel and Martin, Nicholas G and McArdle, Wendy L and McCarthy, Anne and McKnight, Barbara and Meitinger, Thomas and Melander, Olle and Meyre, David and Midthjell, Kristian and Montgomery, Grant W and Morken, Mario A and Morris, Andrew P and Mulic, Rosanda and Ngwa, Julius S and Nelis, Mari and Neville, Matt J and Nyholt, Dale R and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Ong, Ken K and Oostra, Ben and Par{\'e}, Guillaume and Parker, Alex N and Perola, Markus and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Platou, Carl G P and Polasek, Ozren and Pouta, Anneli and Rafelt, Suzanne and Raitakari, Olli and Rayner, Nigel W and Ridderstr{\r a}le, Martin and Rief, Winfried and Ruokonen, Aimo and Robertson, Neil R and Rzehak, Peter and Salomaa, Veikko and Sanders, Alan R and Sandhu, Manjinder S and Sanna, Serena and Saramies, Jouko and Savolainen, Markku J and Scherag, Susann and Schipf, Sabine and Schreiber, Stefan and Schunkert, Heribert and Silander, Kaisa and Sinisalo, Juha and Siscovick, David S and Smit, Jan H and Soranzo, Nicole and Sovio, Ulla and Stephens, Jonathan and Surakka, Ida and Swift, Amy J and Tammesoo, Mari-Liis and Tardif, Jean-Claude and Teder-Laving, Maris and Teslovich, Tanya M and Thompson, John R and Thomson, Brian and T{\"o}njes, Anke and Tuomi, Tiinamaija and van Meurs, Joyce B J and van Ommen, Gert-Jan and Vatin, Vincent and Viikari, Jorma and Visvikis-Siest, Sophie and Vitart, Veronique and Vogel, Carla I G and Voight, Benjamin F and Waite, Lindsay L and Wallaschofski, Henri and Walters, G Bragi and Widen, Elisabeth and Wiegand, Susanna and Wild, Sarah H and Willemsen, Gonneke and Witte, Daniel R and Witteman, Jacqueline C and Xu, Jianfeng and Zhang, Qunyuan and Zgaga, Lina and Ziegler, Andreas and Zitting, Paavo and Beilby, John P and Farooqi, I Sadaf and Hebebrand, Johannes and Huikuri, Heikki V and James, Alan L and K{\"a}h{\"o}nen, Mika and Levinson, Douglas F and Macciardi, Fabio and Nieminen, Markku S and Ohlsson, Claes and Palmer, Lyle J and Ridker, Paul M and Stumvoll, Michael and Beckmann, Jacques S and Boeing, Heiner and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Chanock, Stephen J and Collins, Francis S and Cupples, L Adrienne and Smith, George Davey and Erdmann, Jeanette and Froguel, Philippe and Gr{\"o}nberg, Henrik and Gyllensten, Ulf and Hall, Per and Hansen, Torben and Harris, Tamara B and Hattersley, Andrew T and Hayes, Richard B and Heinrich, Joachim and Hu, Frank B and Hveem, Kristian and Illig, Thomas and Jarvelin, Marjo-Riitta and Kaprio, Jaakko and Karpe, Fredrik and Khaw, Kay-Tee and Kiemeney, Lambertus A and Krude, Heiko and Laakso, Markku and Lawlor, Debbie A and Metspalu, Andres and Munroe, Patricia B and Ouwehand, Willem H and Pedersen, Oluf and Penninx, Brenda W and Peters, Annette and Pramstaller, Peter P and Quertermous, Thomas and Reinehr, Thomas and Rissanen, Aila and Rudan, Igor and Samani, Nilesh J and Schwarz, Peter E H and Shuldiner, Alan R and Spector, Timothy D and Tuomilehto, Jaakko and Uda, Manuela and Uitterlinden, Andre and Valle, Timo T and Wabitsch, Martin and Waeber, G{\'e}rard and Wareham, Nicholas J and Watkins, Hugh and Wilson, James F and Wright, Alan F and Zillikens, M Carola and Chatterjee, Nilanjan and McCarroll, Steven A and Purcell, Shaun and Schadt, Eric E and Visscher, Peter M and Assimes, Themistocles L and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Groop, Leif C and Haritunians, Talin and Hunter, David J and Kaplan, Robert C and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Peltonen, Leena and Schlessinger, David and Strachan, David P and van Duijn, Cornelia M and Wichmann, H-Erich and Frayling, Timothy M and Thorsteinsdottir, Unnur and Abecasis, Goncalo R and Barroso, In{\^e}s and Boehnke, Michael and Stefansson, Kari and North, Kari E and McCarthy, Mark I and Hirschhorn, Joel N and Ingelsson, Erik and Loos, Ruth J F} } @article {1234, title = {Hundreds of variants clustered in genomic loci and biological pathways affect human height.}, journal = {Nature}, volume = {467}, year = {2010}, month = {2010 Oct 14}, pages = {832-8}, abstract = {

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10\% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16\% of phenotypic variation (approximately 20\% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

}, keywords = {Body Height, Chromosomes, Human, Pair 3, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Metabolic Networks and Pathways, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide}, issn = {1476-4687}, doi = {10.1038/nature09410}, author = {Lango Allen, Hana and Estrada, Karol and Lettre, Guillaume and Berndt, Sonja I and Weedon, Michael N and Rivadeneira, Fernando and Willer, Cristen J and Jackson, Anne U and Vedantam, Sailaja and Raychaudhuri, Soumya and Ferreira, Teresa and Wood, Andrew R and Weyant, Robert J and Segr{\`e}, Ayellet V and Speliotes, Elizabeth K and Wheeler, Eleanor and Soranzo, Nicole and Park, Ju-Hyun and Yang, Jian and Gudbjartsson, Daniel and Heard-Costa, Nancy L and Randall, Joshua C and Qi, Lu and Vernon Smith, Albert and M{\"a}gi, Reedik and Pastinen, Tomi and Liang, Liming and Heid, Iris M and Luan, Jian{\textquoteright}an and Thorleifsson, Gudmar and Winkler, Thomas W and Goddard, Michael E and Sin Lo, Ken and Palmer, Cameron and Workalemahu, Tsegaselassie and Aulchenko, Yurii S and Johansson, Asa and Zillikens, M Carola and Feitosa, Mary F and Esko, T{\~o}nu and Johnson, Toby and Ketkar, Shamika and Kraft, Peter and Mangino, Massimo and Prokopenko, Inga and Absher, Devin and Albrecht, Eva and Ernst, Florian and Glazer, Nicole L and Hayward, Caroline and Hottenga, Jouke-Jan and Jacobs, Kevin B and Knowles, Joshua W and Kutalik, Zolt{\'a}n and Monda, Keri L and Polasek, Ozren and Preuss, Michael and Rayner, Nigel W and Robertson, Neil R and Steinthorsdottir, Valgerdur and Tyrer, Jonathan P and Voight, Benjamin F and Wiklund, Fredrik and Xu, Jianfeng and Zhao, Jing Hua and Nyholt, Dale R and Pellikka, Niina and Perola, Markus and Perry, John R B and Surakka, Ida and Tammesoo, Mari-Liis and Altmaier, Elizabeth L and Amin, Najaf and Aspelund, Thor and Bhangale, Tushar and Boucher, Gabrielle and Chasman, Daniel I and Chen, Constance and Coin, Lachlan and Cooper, Matthew N and Dixon, Anna L and Gibson, Quince and Grundberg, Elin and Hao, Ke and Juhani Junttila, M and Kaplan, Lee M and Kettunen, Johannes and K{\"o}nig, Inke R and Kwan, Tony and Lawrence, Robert W and Levinson, Douglas F and Lorentzon, Mattias and McKnight, Barbara and Morris, Andrew P and M{\"u}ller, Martina and Suh Ngwa, Julius and Purcell, Shaun and Rafelt, Suzanne and Salem, Rany M and Salvi, Erika and Sanna, Serena and Shi, Jianxin and Sovio, Ulla and Thompson, John R and Turchin, Michael C and Vandenput, Liesbeth and Verlaan, Dominique J and Vitart, Veronique and White, Charles C and Ziegler, Andreas and Almgren, Peter and Balmforth, Anthony J and Campbell, Harry and Citterio, Lorena and De Grandi, Alessandro and Dominiczak, Anna and Duan, Jubao and Elliott, Paul and Elosua, Roberto and Eriksson, Johan G and Freimer, Nelson B and Geus, Eco J C and Glorioso, Nicola and Haiqing, Shen and Hartikainen, Anna-Liisa and Havulinna, Aki S and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Illig, Thomas and Jula, Antti and Kajantie, Eero and Kilpel{\"a}inen, Tuomas O and Koiranen, Markku and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Laitinen, Jaana and Liu, Jianjun and Lokki, Marja-Liisa and Marusic, Ana and Maschio, Andrea and Meitinger, Thomas and Mulas, Antonella and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Petersmann, Astrid and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Pouta, Anneli and Ridderstr{\r a}le, Martin and Rotter, Jerome I and Sambrook, Jennifer G and Sanders, Alan R and Schmidt, Carsten Oliver and Sinisalo, Juha and Smit, Jan H and Stringham, Heather M and Bragi Walters, G and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Zagato, Laura and Zgaga, Lina and Zitting, Paavo and Alavere, Helene and Farrall, Martin and McArdle, Wendy L and Nelis, Mari and Peters, Marjolein J and Ripatti, Samuli and van Meurs, Joyce B J and Aben, Katja K and Ardlie, Kristin G and Beckmann, Jacques S and Beilby, John P and Bergman, Richard N and Bergmann, Sven and Collins, Francis S and Cusi, Daniele and den Heijer, Martin and Eiriksdottir, Gudny and Gejman, Pablo V and Hall, Alistair S and Hamsten, Anders and Huikuri, Heikki V and Iribarren, Carlos and K{\"a}h{\"o}nen, Mika and Kaprio, Jaakko and Kathiresan, Sekar and Kiemeney, Lambertus and Kocher, Thomas and Launer, Lenore J and Lehtim{\"a}ki, Terho and Melander, Olle and Mosley, Tom H and Musk, Arthur W and Nieminen, Markku S and O{\textquoteright}Donnell, Christopher J and Ohlsson, Claes and Oostra, Ben and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Rioux, John D and Rissanen, Aila and Rivolta, Carlo and Schunkert, Heribert and Shuldiner, Alan R and Siscovick, David S and Stumvoll, Michael and T{\"o}njes, Anke and Tuomilehto, Jaakko and van Ommen, Gert-Jan and Viikari, Jorma and Heath, Andrew C and Martin, Nicholas G and Montgomery, Grant W and Province, Michael A and Kayser, Manfred and Arnold, Alice M and Atwood, Larry D and Boerwinkle, Eric and Chanock, Stephen J and Deloukas, Panos and Gieger, Christian and Gr{\"o}nberg, Henrik and Hall, Per and Hattersley, Andrew T and Hengstenberg, Christian and Hoffman, Wolfgang and Lathrop, G Mark and Salomaa, Veikko and Schreiber, Stefan and Uda, Manuela and Waterworth, Dawn and Wright, Alan F and Assimes, Themistocles L and Barroso, In{\^e}s and Hofman, Albert and Mohlke, Karen L and Boomsma, Dorret I and Caulfield, Mark J and Cupples, L Adrienne and Erdmann, Jeanette and Fox, Caroline S and Gudnason, Vilmundur and Gyllensten, Ulf and Harris, Tamara B and Hayes, Richard B and Jarvelin, Marjo-Riitta and Mooser, Vincent and Munroe, Patricia B and Ouwehand, Willem H and Penninx, Brenda W and Pramstaller, Peter P and Quertermous, Thomas and Rudan, Igor and Samani, Nilesh J and Spector, Timothy D and V{\"o}lzke, Henry and Watkins, Hugh and Wilson, James F and Groop, Leif C and Haritunians, Talin and Hu, Frank B and Kaplan, Robert C and Metspalu, Andres and North, Kari E and Schlessinger, David and Wareham, Nicholas J and Hunter, David J and O{\textquoteright}Connell, Jeffrey R and Strachan, David P and Wichmann, H-Erich and Borecki, Ingrid B and van Duijn, Cornelia M and Schadt, Eric E and Thorsteinsdottir, Unnur and Peltonen, Leena and Uitterlinden, Andr{\'e} G and Visscher, Peter M and Chatterjee, Nilanjan and Loos, Ruth J F and Boehnke, Michael and McCarthy, Mark I and Ingelsson, Erik and Lindgren, Cecilia M and Abecasis, Goncalo R and Stefansson, Kari and Frayling, Timothy M and Hirschhorn, Joel N} } @article {1236, title = {Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.}, journal = {Nat Genet}, volume = {42}, year = {2010}, month = {2010 Nov}, pages = {949-60}, abstract = {

Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 {\texttimes} 10$^{-}$$^{9}$ to P = 1.8 {\texttimes} 10$^{-}$$^{4}$$^{0}$) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 {\texttimes} 10$^{-}${\textthreesuperior} to P = 1.2 {\texttimes} 10$^{-}${\textonesuperior}{\textthreesuperior}). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

}, keywords = {Adipose Tissue, Age Factors, Chromosome Mapping, Female, Genome, Human, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Sex Characteristics, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.685}, author = {Heid, Iris M and Jackson, Anne U and Randall, Joshua C and Winkler, Thomas W and Qi, Lu and Steinthorsdottir, Valgerdur and Thorleifsson, Gudmar and Zillikens, M Carola and Speliotes, Elizabeth K and M{\"a}gi, Reedik and Workalemahu, Tsegaselassie and White, Charles C and Bouatia-Naji, Nabila and Harris, Tamara B and Berndt, Sonja I and Ingelsson, Erik and Willer, Cristen J and Weedon, Michael N and Luan, Jian{\textquoteright}an and Vedantam, Sailaja and Esko, T{\~o}nu and Kilpel{\"a}inen, Tuomas O and Kutalik, Zolt{\'a}n and Li, Shengxu and Monda, Keri L and Dixon, Anna L and Holmes, Christopher C and Kaplan, Lee M and Liang, Liming and Min, Josine L and Moffatt, Miriam F and Molony, Cliona and Nicholson, George and Schadt, Eric E and Zondervan, Krina T and Feitosa, Mary F and Ferreira, Teresa and Lango Allen, Hana and Weyant, Robert J and Wheeler, Eleanor and Wood, Andrew R and Estrada, Karol and Goddard, Michael E and Lettre, Guillaume and Mangino, Massimo and Nyholt, Dale R and Purcell, Shaun and Smith, Albert Vernon and Visscher, Peter M and Yang, Jian and McCarroll, Steven A and Nemesh, James and Voight, Benjamin F and Absher, Devin and Amin, Najaf and Aspelund, Thor and Coin, Lachlan and Glazer, Nicole L and Hayward, Caroline and Heard-Costa, Nancy L and Hottenga, Jouke-Jan and Johansson, Asa and Johnson, Toby and Kaakinen, Marika and Kapur, Karen and Ketkar, Shamika and Knowles, Joshua W and Kraft, Peter and Kraja, Aldi T and Lamina, Claudia and Leitzmann, Michael F and McKnight, Barbara and Morris, Andrew P and Ong, Ken K and Perry, John R B and Peters, Marjolein J and Polasek, Ozren and Prokopenko, Inga and Rayner, Nigel W and Ripatti, Samuli and Rivadeneira, Fernando and Robertson, Neil R and Sanna, Serena and Sovio, Ulla and Surakka, Ida and Teumer, Alexander and van Wingerden, Sophie and Vitart, Veronique and Zhao, Jing Hua and Cavalcanti-Proen{\c c}a, Christine and Chines, Peter S and Fisher, Eva and Kulzer, Jennifer R and Lecoeur, C{\'e}cile and Narisu, Narisu and Sandholt, Camilla and Scott, Laura J and Silander, Kaisa and Stark, Klaus and Tammesoo, Mari-Liis and Teslovich, Tanya M and Timpson, Nicholas John and Watanabe, Richard M and Welch, Ryan and Chasman, Daniel I and Cooper, Matthew N and Jansson, John-Olov and Kettunen, Johannes and Lawrence, Robert W and Pellikka, Niina and Perola, Markus and Vandenput, Liesbeth and Alavere, Helene and Almgren, Peter and Atwood, Larry D and Bennett, Amanda J and Biffar, Reiner and Bonnycastle, Lori L and Bornstein, Stefan R and Buchanan, Thomas A and Campbell, Harry and Day, Ian N M and Dei, Mariano and D{\"o}rr, Marcus and Elliott, Paul and Erdos, Michael R and Eriksson, Johan G and Freimer, Nelson B and Fu, Mao and Gaget, Stefan and Geus, Eco J C and Gjesing, Anette P and Grallert, Harald and Gr{\"a}ssler, J{\"u}rgen and Groves, Christopher J and Guiducci, Candace and Hartikainen, Anna-Liisa and Hassanali, Neelam and Havulinna, Aki S and Herzig, Karl-Heinz and Hicks, Andrew A and Hui, Jennie and Igl, Wilmar and Jousilahti, Pekka and Jula, Antti and Kajantie, Eero and Kinnunen, Leena and Kolcic, Ivana and Koskinen, Seppo and Kovacs, Peter and Kroemer, Heyo K and Krzelj, Vjekoslav and Kuusisto, Johanna and Kvaloy, Kirsti and Laitinen, Jaana and Lantieri, Olivier and Lathrop, G Mark and Lokki, Marja-Liisa and Luben, Robert N and Ludwig, Barbara and McArdle, Wendy L and McCarthy, Anne and Morken, Mario A and Nelis, Mari and Neville, Matt J and Par{\'e}, Guillaume and Parker, Alex N and Peden, John F and Pichler, Irene and Pietil{\"a}inen, Kirsi H and Platou, Carl G P and Pouta, Anneli and Ridderstr{\r a}le, Martin and Samani, Nilesh J and Saramies, Jouko and Sinisalo, Juha and Smit, Jan H and Strawbridge, Rona J and Stringham, Heather M and Swift, Amy J and Teder-Laving, Maris and Thomson, Brian and Usala, Gianluca and van Meurs, Joyce B J and van Ommen, Gert-Jan and Vatin, Vincent and Volpato, Claudia B and Wallaschofski, Henri and Walters, G Bragi and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Witte, Daniel R and Zgaga, Lina and Zitting, Paavo and Beilby, John P and James, Alan L and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Nieminen, Markku S and Ohlsson, Claes and Palmer, Lyle J and Raitakari, Olli and Ridker, Paul M and Stumvoll, Michael and T{\"o}njes, Anke and Viikari, Jorma and Balkau, Beverley and Ben-Shlomo, Yoav and Bergman, Richard N and Boeing, Heiner and Smith, George Davey and Ebrahim, Shah and Froguel, Philippe and Hansen, Torben and Hengstenberg, Christian and Hveem, Kristian and Isomaa, Bo and J{\o}rgensen, Torben and Karpe, Fredrik and Khaw, Kay-Tee and Laakso, Markku and Lawlor, Debbie A and Marre, Michel and Meitinger, Thomas and Metspalu, Andres and Midthjell, Kristian and Pedersen, Oluf and Salomaa, Veikko and Schwarz, Peter E H and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Valle, Timo T and Wareham, Nicholas J and Arnold, Alice M and Beckmann, Jacques S and Bergmann, Sven and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Collins, Francis S and Eiriksdottir, Gudny and Gudnason, Vilmundur and Gyllensten, Ulf and Hamsten, Anders and Hattersley, Andrew T and Hofman, Albert and Hu, Frank B and Illig, Thomas and Iribarren, Carlos and Jarvelin, Marjo-Riitta and Kao, W H Linda and Kaprio, Jaakko and Launer, Lenore J and Munroe, Patricia B and Oostra, Ben and Penninx, Brenda W and Pramstaller, Peter P and Psaty, Bruce M and Quertermous, Thomas and Rissanen, Aila and Rudan, Igor and Shuldiner, Alan R and Soranzo, Nicole and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Uda, Manuela and Uitterlinden, Andre and V{\"o}lzke, Henry and Vollenweider, Peter and Wilson, James F and Witteman, Jacqueline C and Wright, Alan F and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Frayling, Timothy M and Groop, Leif C and Haritunians, Talin and Hunter, David J and Kaplan, Robert C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Peltonen, Leena and Schlessinger, David and Strachan, David P and Hirschhorn, Joel N and Assimes, Themistocles L and Wichmann, H-Erich and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Stefansson, Kari and Cupples, L Adrienne and Loos, Ruth J F and Barroso, In{\^e}s and McCarthy, Mark I and Fox, Caroline S and Mohlke, Karen L and Lindgren, Cecilia M} } @article {1301, title = {Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Jun 26}, pages = {753-60}, abstract = {

Genome-wide association studies have identified 32 loci influencing body mass index, but this measure does not distinguish lean from fat mass. To identify adiposity loci, we meta-analyzed associations between \~{}2.5 million SNPs and body fat percentage from 36,626 individuals and followed up the 14 most significant (P < 10(-6)) independent loci in 39,576 individuals. We confirmed a previously established adiposity locus in FTO (P = 3 {\texttimes} 10(-26)) and identified two new loci associated with body fat percentage, one near IRS1 (P = 4 {\texttimes} 10(-11)) and one near SPRY2 (P = 3 {\texttimes} 10(-8)). Both loci contain genes with potential links to adipocyte physiology. Notably, the body-fat-decreasing allele near IRS1 is associated with decreased IRS1 expression and with an impaired metabolic profile, including an increased visceral to subcutaneous fat ratio, insulin resistance, dyslipidemia, risk of diabetes and coronary artery disease and decreased adiponectin levels. Our findings provide new insights into adiposity and insulin resistance.

}, keywords = {Adiponectin, Adiposity, Alleles, Body Fat Distribution, Body Mass Index, Body Weight, Female, Genetic Variation, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Intracellular Signaling Peptides and Proteins, Male, Membrane Proteins, Meta-Analysis as Topic, Metabolome, Obesity, Polymorphism, Single Nucleotide, Subcutaneous Fat}, issn = {1546-1718}, doi = {10.1038/ng.866}, author = {Kilpel{\"a}inen, Tuomas O and Zillikens, M Carola and Stan{\v c}{\'a}kov{\'a}, Alena and Finucane, Francis M and Ried, Janina S and Langenberg, Claudia and Zhang, Weihua and Beckmann, Jacques S and Luan, Jian{\textquoteright}an and Vandenput, Liesbeth and Styrkarsdottir, Unnur and Zhou, Yanhua and Smith, Albert Vernon and Zhao, Jing-Hua and Amin, Najaf and Vedantam, Sailaja and Shin, So-Youn and Haritunians, Talin and Fu, Mao and Feitosa, Mary F and Kumari, Meena and Halldorsson, Bjarni V and Tikkanen, Emmi and Mangino, Massimo and Hayward, Caroline and Song, Ci and Arnold, Alice M and Aulchenko, Yurii S and Oostra, Ben A and Campbell, Harry and Cupples, L Adrienne and Davis, Kathryn E and D{\"o}ring, Angela and Eiriksdottir, Gudny and Estrada, Karol and Fern{\'a}ndez-Real, Jos{\'e} Manuel and Garcia, Melissa and Gieger, Christian and Glazer, Nicole L and Guiducci, Candace and Hofman, Albert and Humphries, Steve E and Isomaa, Bo and Jacobs, Leonie C and Jula, Antti and Karasik, David and Karlsson, Magnus K and Khaw, Kay-Tee and Kim, Lauren J and Kivimaki, Mika and Klopp, Norman and Kuhnel, Brigitte and Kuusisto, Johanna and Liu, Yongmei and Ljunggren, Osten and Lorentzon, Mattias and Luben, Robert N and McKnight, Barbara and Mellstr{\"o}m, Dan and Mitchell, Braxton D and Mooser, Vincent and Moreno, Jos{\'e} Maria and M{\"a}nnist{\"o}, Satu and O{\textquoteright}Connell, Jeffery R and Pascoe, Laura and Peltonen, Leena and Peral, Bel{\'e}n and Perola, Markus and Psaty, Bruce M and Salomaa, Veikko and Savage, David B and Semple, Robert K and Skaric-Juric, Tatjana and Sigurdsson, Gunnar and Song, Kijoung S and Spector, Timothy D and Syv{\"a}nen, Ann-Christine and Talmud, Philippa J and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Vidal-Puig, Antonio and Wild, Sarah H and Wright, Alan F and Clegg, Deborah J and Schadt, Eric and Wilson, James F and Rudan, Igor and Ripatti, Samuli and Borecki, Ingrid B and Shuldiner, Alan R and Ingelsson, Erik and Jansson, John-Olov and Kaplan, Robert C and Gudnason, Vilmundur and Harris, Tamara B and Groop, Leif and Kiel, Douglas P and Rivadeneira, Fernando and Walker, Mark and Barroso, In{\^e}s and Vollenweider, Peter and Waeber, G{\'e}rard and Chambers, John C and Kooner, Jaspal S and Soranzo, Nicole and Hirschhorn, Joel N and Stefansson, Kari and Wichmann, H-Erich and Ohlsson, Claes and O{\textquoteright}Rahilly, Stephen and Wareham, Nicholas J and Speliotes, Elizabeth K and Fox, Caroline S and Laakso, Markku and Loos, Ruth J F} } @article {1261, title = {A genome-wide association study identifies novel loci associated with circulating IGF-I and IGFBP-3.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Mar 15}, pages = {1241-51}, abstract = {

Insulin-like growth factor-I (IGF-I) and insulin-like growth factor-binding protein-3 (IGFBP-3) are involved in cell replication, proliferation, differentiation, protein synthesis, carbohydrate homeostasis and bone metabolism. Circulating IGF-I and IGFBP-3 concentrations predict anthropometric traits and risk of cancer and cardiovascular disease. In a genome-wide association study of 10 280 middle-aged and older men and women from four community-based cohort studies, we confirmed a known association of single nucleotide polymorphisms in the IGFBP3 gene region on chromosome 7p12.3 with IGFBP-3 concentrations using a significance threshold of P < 5 {\texttimes} 10(-8) (P = 3.3 {\texttimes} 10(-101)). Furthermore, the same IGFBP3 gene locus (e.g. rs11977526) that was associated with IGFBP-3 concentrations was also associated with the opposite direction of effect, with IGF-I concentration after adjustment for IGFBP-3 concentration (P = 1.9 {\texttimes} 10(-26)). A novel and independent locus on chromosome 7p12.3 (rs700752) had genome-wide significant associations with higher IGFBP-3 (P = 4.4 {\texttimes} 10(-21)) and higher IGF-I (P = 4.9 {\texttimes} 10(-9)) concentrations; when the two measurements were adjusted for one another, the IGF-I association was attenuated but the IGFBP-3 association was not. Two additional loci demonstrated genome-wide significant associations with IGFBP-3 concentration (rs1065656, chromosome 16p13.3, P = 1.2 {\texttimes} 10(-11), IGFALS, a confirmatory finding; and rs4234798, chromosome 4p16.1, P = 4.5 {\texttimes} 10(-10), SORCS2, a novel finding). Together, the four genome-wide significant loci explained 6.5\% of the population variation in IGFBP-3 concentration. Furthermore, we observed a borderline statistically significant association between IGF-I concentration and FOXO3 (rs2153960, chromosome 6q21, P = 5.1 {\texttimes} 10(-7)), a locus associated with longevity. These genetic loci deserve further investigation to elucidate the biological basis for the observed associations and clarify their possible role in IGF-mediated regulation of cell growth and metabolism.

}, keywords = {Aged, Chromosomes, Human, Pair 7, Cohort Studies, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddq560}, author = {Kaplan, Robert C and Petersen, Ann-Kristin and Chen, Ming-Huei and Teumer, Alexander and Glazer, Nicole L and D{\"o}ring, Angela and Lam, Carolyn S P and Friedrich, Nele and Newman, Anne and M{\"u}ller, Martina and Yang, Qiong and Homuth, Georg and Cappola, Anne and Klopp, Norman and Smith, Holly and Ernst, Florian and Psaty, Bruce M and Wichmann, H-Erich and Sawyer, Douglas B and Biffar, Reiner and Rotter, Jerome I and Gieger, Christian and Sullivan, Lisa S and V{\"o}lzke, Henry and Rice, Kenneth and Spyroglou, Ariadni and Kroemer, Heyo K and Ida Chen, Y-D and Manolopoulou, Jenny and Nauck, Matthias and Strickler, Howard D and Goodarzi, Mark O and Reincke, Martin and Pollak, Michael N and Bidlingmaier, Martin and Vasan, Ramachandran S and Wallaschofski, Henri} } @article {1307, title = {A genome-wide association study of aging.}, journal = {Neurobiol Aging}, volume = {32}, year = {2011}, month = {2011 Nov}, pages = {2109.e15-28}, abstract = {

Human longevity and healthy aging show moderate heritability (20\%-50\%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 {\texttimes} 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer{\textquoteright}s disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

}, keywords = {Aging, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Longevity}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2011.05.026}, author = {Walter, Stefan and Atzmon, Gil and Demerath, Ellen W and Garcia, Melissa E and Kaplan, Robert C and Kumari, Meena and Lunetta, Kathryn L and Milaneschi, Yuri and Tanaka, Toshiko and Tranah, Gregory J and V{\"o}lker, Uwe and Yu, Lei and Arnold, Alice and Benjamin, Emelia J and Biffar, Reiner and Buchman, Aron S and Boerwinkle, Eric and Couper, David and De Jager, Philip L and Evans, Denis A and Harris, Tamara B and Hoffmann, Wolfgang and Hofman, Albert and Karasik, David and Kiel, Douglas P and Kocher, Thomas and Kuningas, Maris and Launer, Lenore J and Lohman, Kurt K and Lutsey, Pamela L and Mackenbach, Johan and Marciante, Kristin and Psaty, Bruce M and Reiman, Eric M and Rotter, Jerome I and Seshadri, Sudha and Shardell, Michelle D and Smith, Albert V and van Duijn, Cornelia and Walston, Jeremy and Zillikens, M Carola and Bandinelli, Stefania and Baumeister, Sebastian E and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Kivimaki, Mika and Liu, Yongmei and Murabito, Joanne M and Newman, Anne B and Tiemeier, Henning and Franceschini, Nora} } @article {1374, title = {Decline in circulating insulin-like growth factors and mortality in older adults: cardiovascular health study all-stars study.}, journal = {J Clin Endocrinol Metab}, volume = {97}, year = {2012}, month = {2012 Jun}, pages = {1970-6}, abstract = {

BACKGROUND: The association between changes in IGF-I and IGF binding protein (IGFBP) levels and mortality in older adults is unknown.

STUDY DESIGN: Participants were 997 persons 77 to 100 yr old enrolled in the Cardiovascular Health Study All Stars Study. Plasma levels of IGF-I, IGFBP-1, and IGFBP-3 were assessed at two study examinations (1996-1997 and 2005-2006). Mortality was assessed between 2006 and 2010.

RESULTS: Cumulative mortality (CM) was similar among individuals who had at least 10\% decreases over time in IGF-I levels (CM = 29.6\%), individuals who had at least 10\% increases over time in IGF-I levels (CM = 24.7\%), and individuals who had IGF-I levels remaining within {\textpm}10\% over time (CM = 23.5\%). Adjusted for age, sex, race, diabetes, body mass index, creatinine, albumin, and C-reactive protein, decreasing IGF-I level had no significant association with overall cancer mortality or noncancer mortality. Levels of IGFBP-1 increased markedly over time by 38\% (median). Individuals with the largest increases in IGFBP-1 level over time had significantly increased risk of mortality. The adjusted hazard ratio per sd of IGFBP-1 change was 1.40 for overall cancer mortality (95\% confidence interval = 1.10, 1.77; P = 0.01) and 1.14 for noncancer mortality (95\% confidence interval = 1.02, 1.27; P = 0.02). Changes in IGFBP-3 levels were not significantly associated with mortality.

CONCLUSION: Among older adults, decreasing IGF-I level over time does not predict subsequent all-cause mortality, whereas increasing IGFBP-1 predicts increased risk of mortality.

}, keywords = {African Continental Ancestry Group, Aged, Aged, 80 and over, Cardiovascular Diseases, European Continental Ancestry Group, Female, Follow-Up Studies, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Longitudinal Studies, Male, Mortality, Predictive Value of Tests, Risk Factors}, issn = {1945-7197}, doi = {10.1210/jc.2011-2967}, author = {Kaplan, Robert C and B{\r u}zkov{\'a}, Petra and Cappola, Anne R and Strickler, Howard D and McGinn, Aileen P and Mercer, Laina D and Arnold, Alice M and Pollak, Michael N and Newman, Anne B} } @article {5864, title = {Genetic determinants of the ankle-brachial index: a meta-analysis of a cardiovascular candidate gene 50K SNP panel in the candidate gene association resource (CARe) consortium.}, journal = {Atherosclerosis}, volume = {222}, year = {2012}, month = {2012 May}, pages = {138-47}, abstract = {

BACKGROUND: Candidate gene association studies for peripheral artery disease (PAD), including subclinical disease assessed with the ankle-brachial index (ABI), have been limited by the modest number of genes examined. We conducted a two stage meta-analysis of \~{}50,000 SNPs across \~{}2100 candidate genes to identify genetic variants for ABI.

METHODS AND RESULTS: We studied subjects of European ancestry from 8 studies (n=21,547, 55\% women, mean age 44-73 years) and African American ancestry from 5 studies (n=7267, 60\% women, mean age 41-73 years) involved in the candidate gene association resource (CARe) consortium. In each ethnic group, additive genetic models were used (with each additional copy of the minor allele corresponding to the given beta) to test each SNP for association with continuous ABI (excluding ABI>1.40) and PAD (defined as ABI<0.90) using linear or logistic regression with adjustment for known PAD risk factors and population stratification. We then conducted a fixed-effects inverse-variance weighted meta-analyses considering a p<2{\texttimes}10(-6) to denote statistical significance.

RESULTS: In the European ancestry discovery meta-analyses, rs2171209 in SYTL3 (β=-0.007, p=6.02{\texttimes}10(-7)) and rs290481 in TCF7L2 (β=-0.008, p=7.01{\texttimes}10(-7)) were significantly associated with ABI. None of the SNP associations for PAD were significant, though a SNP in CYP2B6 (p=4.99{\texttimes}10(-5)) was among the strongest associations. These 3 genes are linked to key PAD risk factors (lipoprotein(a), type 2 diabetes, and smoking behavior, respectively). We sought replication in 6 population-based and 3 clinical samples (n=15,440) for rs290481 and rs2171209. However, in the replication stage (rs2171209, p=0.75; rs290481, p=0.19) and in the combined discovery and replication analysis the SNP-ABI associations were no longer significant (rs2171209, p=1.14{\texttimes}10(-3); rs290481, p=8.88{\texttimes}10(-5)). In African Americans, none of the SNP associations for ABI or PAD achieved an experiment-wide level of significance.

CONCLUSIONS: Genetic determinants of ABI and PAD remain elusive. Follow-up of these preliminary findings may uncover important biology given the known gene-risk factor associations. New and more powerful approaches to PAD gene discovery are warranted.

}, keywords = {Adult, African Americans, Aged, Ankle Brachial Index, Aryl Hydrocarbon Hydroxylases, Cytochrome P-450 CYP2B6, European Continental Ancestry Group, Female, Humans, Male, Middle Aged, Oxidoreductases, N-Demethylating, Peripheral Arterial Disease, Polymorphism, Single Nucleotide, Risk Factors, Transcription Factor 7-Like 2 Protein}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2012.01.039}, author = {Wassel, Christina L and Lamina, Claudia and Nambi, Vijay and Coassin, Stefan and Mukamal, Kenneth J and Ganesh, Santhi K and Jacobs, David R and Franceschini, Nora and Papanicolaou, George J and Gibson, Quince and Yanek, Lisa R and van der Harst, Pim and Ferguson, Jane F and Crawford, Dana C and Waite, Lindsay L and Allison, Matthew A and Criqui, Michael H and McDermott, Mary M and Mehra, Reena and Cupples, L Adrienne and Hwang, Shih-Jen and Redline, Susan and Kaplan, Robert C and Heiss, Gerardo and Rotter, Jerome I and Boerwinkle, Eric and Taylor, Herman A and Eraso, Luis H and Haun, Margot and Li, Mingyao and Meisinger, Christa and O{\textquoteright}Connell, Jeffrey R and Shuldiner, Alan R and Tybj{\ae}rg-Hansen, Anne and Frikke-Schmidt, Ruth and Kollerits, Barbara and Rantner, Barbara and Dieplinger, Benjamin and Stadler, Marietta and Mueller, Thomas and Haltmayer, Meinhard and Klein-Weigel, Peter and Summerer, Monika and Wichmann, H-Erich and Asselbergs, Folkert W and Navis, Gerjan and Mateo Leach, Irene and Brown-Gentry, Kristin and Goodloe, Robert and Assimes, Themistocles L and Becker, Diane M and Cooke, John P and Absher, Devin M and Olin, Jeffrey W and Mitchell, Braxton D and Reilly, Muredach P and Mohler, Emile R and North, Kari E and Reiner, Alexander P and Kronenberg, Florian and Murabito, Joanne M} } @article {6152, title = {Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 May}, pages = {501-12}, abstract = {

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

}, keywords = {Anthropometry, Body Height, Body Mass Index, Case-Control Studies, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Obesity, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Waist-Hip Ratio}, issn = {1546-1718}, doi = {10.1038/ng.2606}, author = {Berndt, Sonja I and Gustafsson, Stefan and M{\"a}gi, Reedik and Ganna, Andrea and Wheeler, Eleanor and Feitosa, Mary F and Justice, Anne E and Monda, Keri L and Croteau-Chonka, Damien C and Day, Felix R and Esko, T{\~o}nu and Fall, Tove and Ferreira, Teresa and Gentilini, Davide and Jackson, Anne U and Luan, Jian{\textquoteright}an and Randall, Joshua C and Vedantam, Sailaja and Willer, Cristen J and Winkler, Thomas W and Wood, Andrew R and Workalemahu, Tsegaselassie and Hu, Yi-Juan and Lee, Sang Hong and Liang, Liming and Lin, Dan-Yu and Min, Josine L and Neale, Benjamin M and Thorleifsson, Gudmar and Yang, Jian and Albrecht, Eva and Amin, Najaf and Bragg-Gresham, Jennifer L and Cadby, Gemma and den Heijer, Martin and Eklund, Niina and Fischer, Krista and Goel, Anuj and Hottenga, Jouke-Jan and Huffman, Jennifer E and Jarick, Ivonne and Johansson, Asa and Johnson, Toby and Kanoni, Stavroula and Kleber, Marcus E and K{\"o}nig, Inke R and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lamina, Claudia and Lecoeur, C{\'e}cile and Li, Guo and Mangino, Massimo and McArdle, Wendy L and Medina-G{\'o}mez, Carolina and M{\"u}ller-Nurasyid, Martina and Ngwa, Julius S and Nolte, Ilja M and Paternoster, Lavinia and Pechlivanis, Sonali and Perola, Markus and Peters, Marjolein J and Preuss, Michael and Rose, Lynda M and Shi, Jianxin and Shungin, Dmitry and Smith, Albert Vernon and Strawbridge, Rona J and Surakka, Ida and Teumer, Alexander and Trip, Mieke D and Tyrer, Jonathan and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Waite, Lindsay L and Zhao, Jing Hua and Absher, Devin and Asselbergs, Folkert W and Atalay, Mustafa and Attwood, Antony P and Balmforth, Anthony J and Basart, Hanneke and Beilby, John and Bonnycastle, Lori L and Brambilla, Paolo and Bruinenberg, Marcel and Campbell, Harry and Chasman, Daniel I and Chines, Peter S and Collins, Francis S and Connell, John M and Cookson, William O and de Faire, Ulf and de Vegt, Femmie and Dei, Mariano and Dimitriou, Maria and Edkins, Sarah and Estrada, Karol and Evans, David M and Farrall, Martin and Ferrario, Marco M and Ferrieres, Jean and Franke, Lude and Frau, Francesca and Gejman, Pablo V and Grallert, Harald and Gr{\"o}nberg, Henrik and Gudnason, Vilmundur and Hall, Alistair S and Hall, Per and Hartikainen, Anna-Liisa and Hayward, Caroline and Heard-Costa, Nancy L and Heath, Andrew C and Hebebrand, Johannes and Homuth, Georg and Hu, Frank B and Hunt, Sarah E and Hypp{\"o}nen, Elina and Iribarren, Carlos and Jacobs, Kevin B and Jansson, John-Olov and Jula, Antti and K{\"a}h{\"o}nen, Mika and Kathiresan, Sekar and Kee, Frank and Khaw, Kay-Tee and Kivimaki, Mika and Koenig, Wolfgang and Kraja, Aldi T and Kumari, Meena and Kuulasmaa, Kari and Kuusisto, Johanna and Laitinen, Jaana H and Lakka, Timo A and Langenberg, Claudia and Launer, Lenore J and Lind, Lars and Lindstr{\"o}m, Jaana and Liu, Jianjun and Liuzzi, Antonio and Lokki, Marja-Liisa and Lorentzon, Mattias and Madden, Pamela A and Magnusson, Patrik K and Manunta, Paolo and Marek, Diana and M{\"a}rz, Winfried and Mateo Leach, Irene and McKnight, Barbara and Medland, Sarah E and Mihailov, Evelin and Milani, Lili and Montgomery, Grant W and Mooser, Vincent and M{\"u}hleisen, Thomas W and Munroe, Patricia B and Musk, Arthur W and Narisu, Narisu and Navis, Gerjan and Nicholson, George and Nohr, Ellen A and Ong, Ken K and Oostra, Ben A and Palmer, Colin N A and Palotie, Aarno and Peden, John F and Pedersen, Nancy and Peters, Annette and Polasek, Ozren and Pouta, Anneli and Pramstaller, Peter P and Prokopenko, Inga and P{\"u}tter, Carolin and Radhakrishnan, Aparna and Raitakari, Olli and Rendon, Augusto and Rivadeneira, Fernando and Rudan, Igor and Saaristo, Timo E and Sambrook, Jennifer G and Sanders, Alan R and Sanna, Serena and Saramies, Jouko and Schipf, Sabine and Schreiber, Stefan and Schunkert, Heribert and Shin, So-Youn and Signorini, Stefano and Sinisalo, Juha and Skrobek, Boris and Soranzo, Nicole and Stan{\v c}{\'a}kov{\'a}, Alena and Stark, Klaus and Stephens, Jonathan C and Stirrups, Kathleen and Stolk, Ronald P and Stumvoll, Michael and Swift, Amy J and Theodoraki, Eirini V and Thorand, Barbara and Tr{\'e}gou{\"e}t, David-Alexandre and Tremoli, Elena and van der Klauw, Melanie M and van Meurs, Joyce B J and Vermeulen, Sita H and Viikari, Jorma and Virtamo, Jarmo and Vitart, Veronique and Waeber, G{\'e}rard and Wang, Zhaoming and Widen, Elisabeth and Wild, Sarah H and Willemsen, Gonneke and Winkelmann, Bernhard R and Witteman, Jacqueline C M and Wolffenbuttel, Bruce H R and Wong, Andrew and Wright, Alan F and Zillikens, M Carola and Amouyel, Philippe and Boehm, Bernhard O and Boerwinkle, Eric and Boomsma, Dorret I and Caulfield, Mark J and Chanock, Stephen J and Cupples, L Adrienne and Cusi, Daniele and Dedoussis, George V and Erdmann, Jeanette and Eriksson, Johan G and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Gyllensten, Ulf and Hamsten, Anders and Harris, Tamara B and Hengstenberg, Christian and Hicks, Andrew A and Hingorani, Aroon and Hinney, Anke and Hofman, Albert and Hovingh, Kees G and Hveem, Kristian and Illig, Thomas and Jarvelin, Marjo-Riitta and J{\"o}ckel, Karl-Heinz and Keinanen-Kiukaanniemi, Sirkka M and Kiemeney, Lambertus A and Kuh, Diana and Laakso, Markku and Lehtim{\"a}ki, Terho and Levinson, Douglas F and Martin, Nicholas G and Metspalu, Andres and Morris, Andrew D and Nieminen, Markku S and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Ouwehand, Willem H and Palmer, Lyle J and Penninx, Brenda and Power, Chris and Province, Michael A and Psaty, Bruce M and Qi, Lu and Rauramaa, Rainer and Ridker, Paul M and Ripatti, Samuli and Salomaa, Veikko and Samani, Nilesh J and Snieder, Harold and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and T{\"o}njes, Anke and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and van der Harst, Pim and Vollenweider, Peter and Wallaschofski, Henri and Wareham, Nicholas J and Watkins, Hugh and Wichmann, H-Erich and Wilson, James F and Abecasis, Goncalo R and Assimes, Themistocles L and Barroso, In{\^e}s and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and Fox, Caroline S and Frayling, Timothy and Groop, Leif C and Haritunian, Talin and Heid, Iris M and Hunter, David and Kaplan, Robert C and Karpe, Fredrik and Moffatt, Miriam F and Mohlke, Karen L and O{\textquoteright}Connell, Jeffrey R and Pawitan, Yudi and Schadt, Eric E and Schlessinger, David and Steinthorsdottir, Valgerdur and Strachan, David P and Thorsteinsdottir, Unnur and van Duijn, Cornelia M and Visscher, Peter M and Di Blasio, Anna Maria and Hirschhorn, Joel N and Lindgren, Cecilia M and Morris, Andrew P and Meyre, David and Scherag, Andre and McCarthy, Mark I and Speliotes, Elizabeth K and North, Kari E and Loos, Ruth J F and Ingelsson, Erik} } @article {6189, title = {Sleep and insulin-like growth factors in the Cardiovascular Health Study.}, journal = {J Clin Sleep Med}, volume = {9}, year = {2013}, month = {2013 Dec 15}, pages = {1245-51}, abstract = {

STUDY OBJECTIVES: Sleep and sleep disordered breathing (obstructive sleep apnea [OSA]) are known to affect the growth hormone/insulin-like growth factor (GH/IGF) axis. There are few relevant population studies in this area, particularly in the elderly. We conducted this study to investigate the relationship between sleep (architecture and OSA) and circulating IGF-I (insulin-like growth factor-1), IGFBP-1 (insulin-like growth factor binding protein-1), and IGFBP-3 (insulin-like growth factor binding protein-3) levels in an elderly population.

DESIGN SETTING: Cross-sectional analysis of participants from the year 9 visit of the Cardiovascular Health Study (CHS) who were enrolled in the Sleep Heart Health Study (SHHS).

PATIENTS OR PARTICIPANTS: 1,233 elderly participants from the CHS and SHHS.

MEASUREMENTS AND RESULTS: The mean age of males (n = 526) and females (n = 697) was 77 years. The mean value of IGF-I (ng/mL) in males was 112.4 vs. 97.1 in females (p < 0.01). Mean IGFBP-1 and IGFBP-3 levels were higher in females than males (p < 0.01). As expected, slow wave sleep was better preserved in females compared to males (22\% total sleep time vs. 9\% total sleep time, p < 0.01). Furthermore, as expected, OSA (apneahypopnea index [AHI] >= 5/h) was more prevalent in males compared to females (60\% vs. 46\%, p < 0.01). Multivariable linear regression was used to determine the relationship between objective sleep parameters and circulating IGF-I, IGFBP-1, and IGFBP-3 levels, with adjustment for age, sex, race, BMI, diabetes, estrogen use, progestin use, and physical activity. We did not detect a significant association between slow wave sleep (SWS) (per 5 min) and IGF-I, IGFBP-1, and IGFBP-3 levels (ng/mL). We found no significant linear association between OSA (AHI >= 5/h) and IGF-I, IGFBP-1, and IGFBP-3 levels. Gender-stratification of the entire cohort did not alter these findings. Sensitivity analyses excluding diabetics revealed that moderate OSA (AHI >= 5 and < 15) is inversely associated with IGFBP-3 levels in women. Conclusions The relationship between SWS and GH/IGF system is not significant in the elderly. Furthermore, OSA does not appear to adversely influence the GH/IGF axis, as reported in younger individuals. Whether our study findings are due to diminished GH/IGF-I axis activity in elderly needs further investigation by replication in other large population based elderly cohorts.

}, keywords = {Aged, Cardiovascular Diseases, Cohort Studies, Cross-Sectional Studies, Female, Geriatric Assessment, Health Surveys, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Sex Distribution, Sleep, Sleep Apnea, Obstructive, Somatomedins, United States}, issn = {1550-9397}, doi = {10.5664/jcsm.3260}, author = {Shah, Neomi and Rice, Tom and Tracy, Daniel and Rohan, Thomas and B{\r u}zkov{\'a}, Petra and Newman, Anne and Kaplan, Robert C} } @article {6575, title = {Analysis of secondary outcomes in nested case-control study designs.}, journal = {Stat Med}, volume = {33}, year = {2014}, month = {2014 Oct 30}, pages = {4215-26}, abstract = {

One of the main perceived advantages of using a case-cohort design compared with a nested case-control design in an epidemiologic study is the ability to evaluate with the same subcohort outcomes other than the primary outcome of interest. In this paper, we show that valid inferences about secondary outcomes can also be achieved in nested case-control studies by using the inclusion probability weighting method in combination with an approximate jackknife standard error that can be computed using existing software. Simulation studies demonstrate that when the sample size is sufficient, this approach yields valid type 1 error and coverage rates for the analysis of secondary outcomes in nested case-control designs. Interestingly, the statistical power of the nested case-control design was comparable with that of the case-cohort design when the primary and secondary outcomes were positively correlated. The proposed method is illustrated with the data from a cohort in Cardiovascular Health Study to study the association of C-reactive protein levels and the incidence of congestive heart failure.

}, keywords = {Aged, Aged, 80 and over, C-Reactive Protein, Case-Control Studies, Cohort Studies, Computer Simulation, Data Interpretation, Statistical, Female, Heart Failure, Humans, Intermittent Claudication, Male, Sample Size, Treatment Outcome}, issn = {1097-0258}, doi = {10.1002/sim.6231}, author = {Kim, Ryung S and Kaplan, Robert C} } @article {6000, title = {Do changes in circulating biomarkers track with each other and with functional changes in older adults?}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {69}, year = {2014}, month = {2014 Feb}, pages = {174-81}, abstract = {

BACKGROUND: It is unclear if changes in proposed circulating biomarkers of aging are strongly correlated to each other or functional change. We tested if biomarker changes track with each other and with functional measures over 9 years in older adults.

METHODS: Dehydroepiandrosterone sulfate (DHEAS), adiponectin, insulin-like growth factor 1 (IGF-1), IGF binding proteins 1 (IGFBP-1) and 3 (IGFBP-3), interleukin-6 (IL-6), cholesterol, and function (gait speed, grip strength, Modified Mini Mental Status Exam [3MSE] and Digit Symbol Substitution Test [DSST] scores) were measured in 1996-1997 and 2005-2006 in the Cardiovascular Health Study All Stars study (N = 901, mean [standard deviation, SD] age 85.3 [3.6] years in 2005-2006). Adjusted Pearson correlations illustrated if biomarkers tracked together. Multivariable linear regression demonstrated if biomarker changes tracked with functional changes.

RESULTS: Correlations among biomarker changes were mostly <0.2. In models with each biomarker entered separately, a 1-SD increase biomarker change was associated with change in function as follows: grip strength (DHEAS β = 0.61kg, p = .001; IL-6 β = -0.46kg, p = .012; cholesterol men β = 0.79kg, p = .016); gait speed (DHEAS β = 0.02 meters per second, p = .039; IL-6 β = -0.018 meters per second, p = .049); and DSST score (DHEAS women β = 1.46, p = .004; IL-6 β = -0.83, p = .027). When biomarkers were entered in the same model, significant associations remaining were as follows: grip strength (DHEAS β = 0.54kg, p = .005; IL-6 β = -0.43kg, p = .022); 3MSE score (IGF-1 β = 0.96, p = .04; IGFBP-3 β = -1.07, p = .024); and DSST score (DHEAS women β = 1.27, p = .012; IL-6 β = -0.80, p = .04).

CONCLUSION: Changes in biomarkers were poorly correlated, supporting a model of stochastic, independent change across systems. DHEAS and IL-6 tracked most closely with function, illustrating that changes in inflammation and sex steroids may play dominant roles in changes of these functional outcomes.

}, keywords = {Adiponectin, Aged, Aged, 80 and over, Aging, Biomarkers, Cholesterol, Cognition, Cohort Studies, Dehydroepiandrosterone Sulfate, Female, Gait, Hand Strength, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Interleukin-6, Male, Neuropsychological Tests, Psychomotor Performance, Time Factors}, issn = {1758-535X}, doi = {10.1093/gerona/glt088}, author = {Sanders, Jason L and Ding, Victoria and Arnold, Alice M and Kaplan, Robert C and Cappola, Anne R and Kizer, Jorge R and Boudreau, Robert M and Cushman, Mary and Newman, Anne B} } @article {6595, title = {Genetic variants related to height and risk of atrial fibrillation: the cardiovascular health study.}, journal = {Am J Epidemiol}, volume = {180}, year = {2014}, month = {2014 Jul 15}, pages = {215-22}, abstract = {

Increased height is a known independent risk factor for atrial fibrillation (AF). However, whether genetic determinants of height influence risk is uncertain. In this candidate gene study, we examined the association of 209 height-associated single-nucleotide polymorphisms (SNPs) with incident AF in 3,309 persons of European descent from the Cardiovascular Health Study, a prospective cohort study of older adults (aged >= 65 years) enrolled in 1989-1990. After a median follow-up period of 13.2 years, 879 participants developed incident AF. The height-associated SNPs together explained approximately 10\% of the variation in height (P = 6.0 {\texttimes} 10(-8)). Using an unweighted genetic height score, we found a nonsignificant association with risk of AF (per allele, hazard ratio = 1.01, 95\% confidence interval: 1.00, 1.02; P = 0.06). In weighted analyses, we found that genetically predicted height was strongly associated with AF risk (per 10 cm, hazard ratio = 1.30, 95\% confidence interval: 1.03, 1.64; P = 0.03). Importantly, for all models, the inclusion of actual height completely attenuated the genetic height effect. Finally, we identified 1 nonsynonymous SNP (rs1046934) that was independently associated with AF and may warrant future study. In conclusion, we found that genetic determinants of height appear to increase the risk of AF, primarily via height itself. This approach of examining SNPs associated with an intermediate phenotype should be considered as a method for identifying novel genetic targets.

}, keywords = {African Americans, Aged, Atrial Fibrillation, Body Height, Endonucleases, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Humans, Longitudinal Studies, Male, Polymorphism, Single Nucleotide, Proportional Hazards Models, Risk Factors}, issn = {1476-6256}, doi = {10.1093/aje/kwu126}, author = {Rosenberg, Michael A and Kaplan, Robert C and Siscovick, David S and Psaty, Bruce M and Heckbert, Susan R and Newton-Cheh, Christopher and Mukamal, Kenneth J} } @article {6296, title = {A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations.}, journal = {Genet Epidemiol}, volume = {38}, year = {2014}, month = {2014 Feb}, pages = {162-71}, abstract = {

Genome-wide association studies (GWAS) offer an excellent opportunity to identify the genetic variants underlying complex human diseases. Successful utilization of this approach requires a large sample size to identify single nucleotide polymorphisms (SNPs) with subtle effects. Meta-analysis is a cost-efficient means to achieve large sample size by combining data from multiple independent GWAS; however, results from studies performed on different populations can be variable due to various reasons, including varied linkage equilibrium structures as well as gene-gene and gene-environment interactions. Nevertheless, one should expect effects of the SNP are more similar between similar populations than those between populations with quite different genetic and environmental backgrounds. Prior information on populations of GWAS is often not considered in current meta-analysis methods, rendering such analyses less optimal for the detecting association. This article describes a test that improves meta-analysis to incorporate variable heterogeneity among populations. The proposed method is remarkably simple in computation and hence can be performed in a rapid fashion in the setting of GWAS. Simulation results demonstrate the validity and higher power of the proposed method over conventional methods in the presence of heterogeneity. As a demonstration, we applied the test to real GWAS data to identify SNPs associated with circulating insulin-like growth factor I concentrations.

}, keywords = {Computer Simulation, Genetic Linkage, Genome, Genome-Wide Association Study, Humans, Insulin-Like Growth Factor I, Meta-Analysis as Topic, Models, Genetic, Polymorphism, Single Nucleotide, Sample Size}, issn = {1098-2272}, doi = {10.1002/gepi.21766}, author = {Wang, Tao and Zhou, Baiyu and Guo, Tingwei and Bidlingmaier, Martin and Wallaschofski, Henri and Teumer, Alexander and Vasan, Ramachandran S and Kaplan, Robert C} } @article {6737, title = {Changes in insulin-like growth factor-I and its binding proteins are associated with diabetes mellitus in older adults.}, journal = {J Am Geriatr Soc}, volume = {63}, year = {2015}, month = {2015 May}, pages = {902-9}, abstract = {

OBJECTIVES: To determine whether changes in insulin-like growth factor (IGF) protein levels are greater in participants with type 2 diabetes mellitus or worsening glycemia than in normoglycemic individuals over a 9-year follow-up period.

DESIGN: Retrospective analysis of a cohort study.

SETTING: Participants were recruited from North Carolina, California, Maryland, and Pennsylvania.

PARTICIPANTS: Cardiovascular Health Study All Stars participants, a cohort study of community-dwelling adults aged 65 and older (N=897).

MEASUREMENTS: Plasma IGF-I, IGF binding protein (IGFBP)-1, and IGFBP-3 levels were assessed and American Diabetes Association cut-points for impaired glucose tolerance (IGT), impaired fasting glucose (IFG), and diabetes mellitus were used to classify participants at baseline (1996-97) and follow-up (2005-06).

RESULTS: At baseline, mean age was 76.3{\textpm}3.6, and 18.5\% had diabetes mellitus. Participants with IFG alone and IGT plus IFG had higher IGF-I levels and lower IGFBP-1 levels than those with normoglycemia or diabetes mellitus. The greatest percentage change in IGF levels occurred in those who had diabetes mellitus at baseline (9-year changes: -9.3\% for IGF-I, 59.7\% for IGFBP-1, -13.4\% for IGFBP-3), the smallest in individuals who remained normoglycemic at follow-up (9-year changes: -3.7\% for IGF-I, 25.6\% for IGFBP-1, -6.4\% for IGFBP-3), and intermediate in those who were normoglycemic but developed IFG at follow-up.

CONCLUSION: Degrees of glycemic impairment are associated with varying degrees of change in IGF protein levels. The changes observed in the diabetes mellitus group have been previously shown to be associated with heart failure, cancer, and noncancer mortality.

}, keywords = {Aged, Blood Glucose, Cohort Studies, Diabetes Mellitus, Type 2, Female, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Male, Retrospective Studies}, issn = {1532-5415}, doi = {10.1111/jgs.13390}, author = {Aneke-Nash, Chino S and Parrinello, Christina M and Rajpathak, Swapnil N and Rohan, Thomas E and Strotmeyer, Elsa S and Kritchevsky, Stephen B and Psaty, Bruce M and B{\r u}zkov{\'a}, Petra and Kizer, Jorge R and Newman, Anne B and Strickler, Howard D and Kaplan, Robert C} } @article {6550, title = {GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Jan}, pages = {110-8}, abstract = {

BACKGROUND: The genetic contribution to longevity in humans has been estimated to range from 15\% to 25\%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.

METHODS: We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age >=90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.

RESULTS: In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 {\texttimes} 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 {\texttimes} 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85{\texttimes}10(-10)).

CONCLUSIONS: We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages >=90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

}, keywords = {Aged, Aged, 80 and over, Apolipoproteins E, Cell Adhesion Molecules, Cohort Studies, Female, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome-Wide Association Study, Humans, Longevity, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Kainic Acid}, issn = {1758-535X}, doi = {10.1093/gerona/glu166}, author = {Broer, Linda and Buchman, Aron S and Deelen, Joris and Evans, Daniel S and Faul, Jessica D and Lunetta, Kathryn L and Sebastiani, Paola and Smith, Jennifer A and Smith, Albert V and Tanaka, Toshiko and Yu, Lei and Arnold, Alice M and Aspelund, Thor and Benjamin, Emelia J and De Jager, Philip L and Eirkisdottir, Gudny and Evans, Denis A and Garcia, Melissa E and Hofman, Albert and Kaplan, Robert C and Kardia, Sharon L R and Kiel, Douglas P and Oostra, Ben A and Orwoll, Eric S and Parimi, Neeta and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Seshadri, Sudha and Singleton, Andrew and Tiemeier, Henning and Uitterlinden, Andr{\'e} G and Zhao, Wei and Bandinelli, Stefania and Bennett, David A and Ferrucci, Luigi and Gudnason, Vilmundur and Harris, Tamara B and Karasik, David and Launer, Lenore J and Perls, Thomas T and Slagboom, P Eline and Tranah, Gregory J and Weir, David R and Newman, Anne B and van Duijn, Cornelia M and Murabito, Joanne M} } @article {6854, title = {Sleep Disturbances and Glucose Metabolism in Older Adults: The Cardiovascular Health Study.}, journal = {Diabetes Care}, volume = {38}, year = {2015}, month = {2015 Nov}, pages = {2050-8}, abstract = {

OBJECTIVE: We examined the associations of symptoms of sleep-disordered breathing (SDB), which was defined as loud snoring, stopping breathing for a while during sleep, and daytime sleepiness, and insomnia with glucose metabolism and incident type 2 diabetes in older adults.

RESEARCH DESIGN AND METHODS: Between 1989 and 1993, the Cardiovascular Health Study recruited 5,888 participants >=65 years of age from four U.S. communities. Participants reported SDB and insomnia symptoms yearly through 1989-1994. In 1989-1990, participants underwent an oral glucose tolerance test, from which insulin secretion and insulin sensitivity were estimated. Fasting glucose levels were measured in 1989-1990 and again in 1992-1993, 1994-1995, 1996-1997, and 1998-1999, and medication use was ascertained yearly. We determined the cross-sectional associations of sleep symptoms with fasting glucose levels, 2-h glucose levels, insulin sensitivity, and insulin secretion using generalized estimated equations and linear regression models. We determined the associations of updated and averaged sleep symptoms with incident diabetes in Cox proportional hazards models. We adjusted for sociodemographics, lifestyle factors, and medical history.

RESULTS: Observed apnea, snoring, and daytime sleepiness were associated with higher fasting glucose levels, higher 2-h glucose levels, lower insulin sensitivity, and higher insulin secretion. The risk of the development of type 2 diabetes was positively associated with observed apnea (hazard ratio [HR] 1.84 [95\% CI 1.19-2.86]), snoring (HR 1.27 [95\% CI 0.95-1.71]), and daytime sleepiness (HR 1.54 [95\% CI 1.13-2.12]). In contrast, we did not find consistent associations between insomnia symptoms and glucose metabolism or incident type 2 diabetes.

CONCLUSIONS: Easily collected symptoms of SDB are strongly associated with insulin resistance and the incidence of type 2 diabetes in older adults. Monitoring glucose metabolism in such patients may prove useful in identifying candidates for lifestyle or pharmacological therapy. Further studies are needed to determine whether insomnia symptoms affect the risk of diabetes in younger adults.

}, keywords = {Adult, Aged, Blood Glucose, Cardiovascular System, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Fasting, Female, Glucose Tolerance Test, Humans, Incidence, Insulin, Insulin Resistance, Male, Middle Aged, Sleep Apnea Syndromes, Sleep Initiation and Maintenance Disorders, Snoring, United States}, issn = {1935-5548}, doi = {10.2337/dc15-0137}, author = {Strand, Linn Beate and Carnethon, Mercedes and Biggs, Mary Lou and Djouss{\'e}, Luc and Kaplan, Robert C and Siscovick, David S and Robbins, John A and Redline, Susan and Patel, Sanjay R and Janszky, Imre and Mukamal, Kenneth J} } @article {6952, title = {Agreement between circulating IGF-I, IGFBP-1 and IGFBP-3 levels measured by current assays versus unavailable assays previously used in epidemiological studies.}, journal = {Growth Horm IGF Res}, volume = {26}, year = {2016}, month = {2016 Feb}, pages = {11-6}, abstract = {

OBJECTIVE: Levels of insulin-like growth factor (IGF) proteins are associated with the risk of cancer and mortality. IGF assays produced by Diagnostic Systems Laboratories (DSL) were widely used in epidemiological studies, were not calibrated against recommended standards and are no longer commercially available.

DESIGN: In a split sample study among 1471 adults participating in the Cardiovascular Health Study, we compared values obtained using DSL assays with alternative assays for serum IGF-I (Immunodiagnostic Systems, IDS), IGFBP-1 (American Laboratory Products Company, ALPCO) and IGFBP-3 (IDS).

RESULTS: Results were compared using kernel density estimation plots, quartile analysis with weighted kappa statistics and linear regression models to assess the concordance of data from the different assays. Participants had a mean age of 77years. Results between alternative assays were strongly correlated (IGF-I, r=0.93 for DSL versus IDS; log-IGFBP-1, r=0.90 for DSL versus ALPCO; IGFBP-3, r=0.92 for DSL versus IDS). Cross tabulations showed that participants were usually in the same quartile categories regardless of the assay used (overall agreement, 74\% for IGF-I, 64\% for IGFBP-1, 71\% for IGFBP-3). Weighted kappa also showed substantial agreement between assays (kw, 0.78 for IGF-I, 0.69 for IGFBP-1, 0.76 for IGFBP-3). Regressions of levels obtained with DSL assays (denoted X) to alternative assays were, IGF-I: 0.52X+15.2ng/ml, log-IGFBP-1: 1.01X-1.73ng/ml IGFBP-3: 0.87X+791.1ng/ml. Serum values of IGF-I, IGFBP-1 and IGFBP-3 measured using alternative assays are moderately correlated.

CONCLUSIONS: Care is needed in the interpretation of data sets involving IGF analytes if assay methodologies are not uniform.

}, issn = {1532-2238}, doi = {10.1016/j.ghir.2015.12.007}, author = {Aneke-Nash, Chino S and Dominguez-Islas, Clara and B{\r u}zkov{\'a}, Petra and Qi, Qibin and Xue, XiaoNan and Pollak, Michael and Strickler, Howard D and Kaplan, Robert C} } @article {7005, title = {Association of the IGF1 gene with fasting insulin levels.}, journal = {Eur J Hum Genet}, volume = {24}, year = {2016}, month = {2016 Aug}, pages = {1337-43}, abstract = {

Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 {\texttimes} 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.

}, issn = {1476-5438}, doi = {10.1038/ejhg.2016.4}, author = {Willems, Sara M and Cornes, Belinda K and Brody, Jennifer A and Morrison, Alanna C and Lipovich, Leonard and Dauriz, Marco and Chen, Yuning and Liu, Ching-Ti and Rybin, Denis V and Gibbs, Richard A and Muzny, Donna and Pankow, James S and Psaty, Bruce M and Boerwinkle, Eric and Rotter, Jerome I and Siscovick, David S and Vasan, Ramachandran S and Kaplan, Robert C and Isaacs, Aaron and Dupuis, Jos{\'e}e and van Duijn, Cornelia M and Meigs, James B} } @article {7133, title = {Effects of Disease Burden and Functional Adaptation on Morbidity and Mortality on Older Adults.}, journal = {J Am Geriatr Soc}, volume = {64}, year = {2016}, month = {2016 Jun}, pages = {1242-9}, abstract = {

OBJECTIVES: To ascertain whether older adults with extensive disease but relative vigor (adapters) shorten the period at the end of life in which they live with morbidity (compress morbidity).

DESIGN: Prospective, community-based cohort study in four U.S. cities.

SETTING: Cardiovascular Health Study.

PARTICIPANTS: Individuals aged 65 and older.

MEASUREMENTS: Participants were categorized into three groups according to extent of disease (assessed noninvasively), vigor, and frailty (expected agers (n~=~3,528, extent of disease similar to vigor and frailty-reference group), adapters (n~=~882, higher disease but vigorous), and prematurely frail (n~=~855, lower disease but frail)) and compared according to years of able life (YAL), years of self-reported healthy life (YHL), and mortality using multivariable regression and survival analysis.

RESULTS: After adjustment, adapters had 0.97 (95\% confidence interval (CI)~=~0.60-1.33) more YAL and 0.54 (95\% CI~=~0.19-0.90) more YHL than expected agers, and those who were prematurely frail had -0.99 (95\% CI~=~-1.36 to -0.62) fewer YAL and -0.53 (95\% CI~=~-0.89 to -0.17) fewer YHL than expected agers. Adapters had 0.9 more and prematurely frail had 1.5 fewer years of total life than expected agers (P~<~.001). Adapters spent 55\% of their remaining life able and healthy, those who were prematurely frail spent 37\%, and of expected agers spent 47\% (P~<~.001).

CONCLUSION: Despite similar levels of disease burden, older adults who were more vigorous appeared to compress morbidity and live longer. Older adults with higher frailty lengthened morbidity and had greater mortality. Adaptive factors may compress morbidity and decrease mortality.

}, issn = {1532-5415}, doi = {10.1111/jgs.14163}, author = {Sanders, Jason L and Arnold, Alice M and Hirsch, Calvin H and Thielke, Stephen M and Kim, Dae and Mukamal, Kenneth J and Kizer, Jorge R and Ix, Joachim H and Kaplan, Robert C and Kritchevsky, Stephen B and Newman, Anne B} } @article {7147, title = {Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits.}, journal = {Aging Cell}, volume = {15}, year = {2016}, month = {2016 Oct}, pages = {811-24}, abstract = {

The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30~884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF-I and IGFBP-3 concentrations (IGF1, IGFBP3, GCKR, TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype-phenotype associations between men and women, were found only for associations of IGFBP-3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90~years. The known longevity-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF-I and IGFBP-3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity-associated loci.

}, issn = {1474-9726}, doi = {10.1111/acel.12490}, author = {Teumer, Alexander and Qi, Qibin and Nethander, Maria and Aschard, Hugues and Bandinelli, Stefania and Beekman, Marian and Berndt, Sonja I and Bidlingmaier, Martin and Broer, Linda and Cappola, Anne and Ceda, Gian Paolo and Chanock, Stephen and Chen, Ming-Huei and Chen, Tai C and Chen, Yii-Der Ida and Chung, Jonathan and Del Greco Miglianico, Fabiola and Eriksson, Joel and Ferrucci, Luigi and Friedrich, Nele and Gnewuch, Carsten and Goodarzi, Mark O and Grarup, Niels and Guo, Tingwei and Hammer, Elke and Hayes, Richard B and Hicks, Andrew A and Hofman, Albert and Houwing-Duistermaat, Jeanine J and Hu, Frank and Hunter, David J and Husemoen, Lise L and Isaacs, Aaron and Jacobs, Kevin B and Janssen, Joop A M J L and Jansson, John-Olov and Jehmlich, Nico and Johnson, Simon and Juul, Anders and Karlsson, Magnus and Kilpel{\"a}inen, Tuomas O and Kovacs, Peter and Kraft, Peter and Li, Chao and Linneberg, Allan and Liu, Yongmei and Loos, Ruth J F and Lorentzon, Mattias and Lu, Yingchang and Maggio, Marcello and M{\"a}gi, Reedik and Meigs, James and Mellstr{\"o}m, Dan and Nauck, Matthias and Newman, Anne B and Pollak, Michael N and Pramstaller, Peter P and Prokopenko, Inga and Psaty, Bruce M and Reincke, Martin and Rimm, Eric B and Rotter, Jerome I and Saint Pierre, Aude and Schurmann, Claudia and Seshadri, Sudha and Sj{\"o}gren, Klara and Slagboom, P Eline and Strickler, Howard D and Stumvoll, Michael and Suh, Yousin and Sun, Qi and Zhang, Cuilin and Svensson, Johan and Tanaka, Toshiko and Tare, Archana and T{\"o}njes, Anke and Uh, Hae-Won and van Duijn, Cornelia M and van Heemst, Diana and Vandenput, Liesbeth and Vasan, Ramachandran S and V{\"o}lker, Uwe and Willems, Sara M and Ohlsson, Claes and Wallaschofski, Henri and Kaplan, Robert C} } @article {7258, title = {Insulinlike growth factor binding protein-1 and ghrelin predict health outcomes among older adults: CHS cohort.}, journal = {J Clin Endocrinol Metab}, year = {2016}, month = {2016 Nov 07}, pages = {jc20162779}, abstract = {

CONTEXT: Multiple diseases may explain the association of the growth hormone / insulinlike growth factor-I (GH/IGF-I) axis with longevity.

OBJECTIVE: To relate circulating GH/IGF-I system protein levels with major health events.

DESIGN: Cohort study Setting: Four US communities Participants: Adults (n=2268) 65 years and older free of diabetes and cardiovascular disease.

MEASUREMENTS: We assessed insulinlike growth factor binding protein-1 (IGFBP-1) and ghrelin in fasting and 2-hour oral glucose tolerance test (OGTT) blood samples, as well as fasting IGF-I and IGFBP-3. Hazard ratios for mortality and a composite outcome for first incident myocardial infarction, stroke, heart failure, hip fracture, or death were adjusted for sociodemographic, behavioral, and physiologic covariates.

RESULTS: During 13,930 person-years of follow-up, 48.1\% individuals sustained one or more components of the composite outcome and 31.8\% died. Versus the lowest quartiles, the highest quartiles of fasting and 2-h ghrelin were associated with a 27\% higher (95\% CI: 6\%, 53\%) and 39\% higher (95\% CI: 14\%, 71\%) risks of the composite outcome, respectively. The highest quartile of 2-h IGFBP-1 was associated with 35\% higher (95\% CI: 1\%, 52\%) risk of the composite endpoint. Similarly, higher mortality was significantly associated with higher fasting and 2-h ghrelin level, and with 2-h IGFBP-1 level. When examined together, 2-h post-OGTT levels of IGFBP-1 and ghrelin tended to predict outcomes better than fasting levels.

CONCLUSIONS: Circulating IGFBP-1 and ghrelin measured during an OGTT predict major health events and death in older adults, which may explain the influence of the GH-IGF-axis on lifespan and health.

}, issn = {1945-7197}, doi = {10.1210/jc.2016-2779}, author = {Kaplan, Robert C and Strizich, Garrett and Aneke-Nash, Chino and Dominguez-Islas, Clara and B{\r u}zkov{\'a}, Petra and Strickler, Howard and Rohan, Thomas and Pollak, Michael and Kuller, Lewis and Kizer, Jorge R and Cappola, Anne and Li, Christopher I and Psaty, Bruce M and Newman, Anne} } @article {8570, title = {A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016 11 23}, pages = {13357}, abstract = {

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99\% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.

}, keywords = {Anthropometry, Body Size, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Principal Component Analysis}, issn = {2041-1723}, doi = {10.1038/ncomms13357}, author = {Ried, Janina S and Jeff M, Janina and Chu, Audrey Y and Bragg-Gresham, Jennifer L and van Dongen, Jenny and Huffman, Jennifer E and Ahluwalia, Tarunveer S and Cadby, Gemma and Eklund, Niina and Eriksson, Joel and Esko, T{\~o}nu and Feitosa, Mary F and Goel, Anuj and Gorski, Mathias and Hayward, Caroline and Heard-Costa, Nancy L and Jackson, Anne U and Jokinen, Eero and Kanoni, Stavroula and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lahti, Jari and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Mahajan, Anubha and Mangino, Massimo and Medina-G{\'o}mez, Carolina and Monda, Keri L and Nolte, Ilja M and Perusse, Louis and Prokopenko, Inga and Qi, Lu and Rose, Lynda M and Salvi, Erika and Smith, Megan T and Snieder, Harold and Stan{\v c}{\'a}kov{\'a}, Alena and Ju Sung, Yun and Tachmazidou, Ioanna and Teumer, Alexander and Thorleifsson, Gudmar and van der Harst, Pim and Walker, Ryan W and Wang, Sophie R and Wild, Sarah H and Willems, Sara M and Wong, Andrew and Zhang, Weihua and Albrecht, Eva and Couto Alves, Alexessander and Bakker, Stephan J L and Barlassina, Cristina and Bartz, Traci M and Beilby, John and Bellis, Claire and Bergman, Richard N and Bergmann, Sven and Blangero, John and Bl{\"u}her, Matthias and Boerwinkle, Eric and Bonnycastle, Lori L and Bornstein, Stefan R and Bruinenberg, Marcel and Campbell, Harry and Chen, Yii-Der Ida and Chiang, Charleston W K and Chines, Peter S and Collins, Francis S and Cucca, Fracensco and Cupples, L Adrienne and D{\textquoteright}Avila, Francesca and de Geus, Eco J C and Dedoussis, George and Dimitriou, Maria and D{\"o}ring, Angela and Eriksson, Johan G and Farmaki, Aliki-Eleni and Farrall, Martin and Ferreira, Teresa and Fischer, Krista and Forouhi, Nita G and Friedrich, Nele and Gjesing, Anette Prior and Glorioso, Nicola and Graff, Mariaelisa and Grallert, Harald and Grarup, Niels and Gr{\"a}{\ss}ler, J{\"u}rgen and Grewal, Jagvir and Hamsten, Anders and Harder, Marie Neergaard and Hartman, Catharina A and Hassinen, Maija and Hastie, Nicholas and Hattersley, Andrew Tym and Havulinna, Aki S and Heli{\"o}vaara, Markku and Hillege, Hans and Hofman, Albert and Holmen, Oddgeir and Homuth, Georg and Hottenga, Jouke-Jan and Hui, Jennie and Husemoen, Lise Lotte and Hysi, Pirro G and Isaacs, Aaron and Ittermann, Till and Jalilzadeh, Shapour and James, Alan L and J{\o}rgensen, Torben and Jousilahti, Pekka and Jula, Antti and Marie Justesen, Johanne and Justice, Anne E and K{\"a}h{\"o}nen, Mika and Karaleftheri, Maria and Tee Khaw, Kay and Keinanen-Kiukaanniemi, Sirkka M and Kinnunen, Leena and Knekt, Paul B and Koistinen, Heikki A and Kolcic, Ivana and Kooner, Ishminder K and Koskinen, Seppo and Kovacs, Peter and Kyriakou, Theodosios and Laitinen, Tomi and Langenberg, Claudia and Lewin, Alexandra M and Lichtner, Peter and Lindgren, Cecilia M and Lindstr{\"o}m, Jaana and Linneberg, Allan and Lorbeer, Roberto and Lorentzon, Mattias and Luben, Robert and Lyssenko, Valeriya and M{\"a}nnist{\"o}, Satu and Manunta, Paolo and Leach, Irene Mateo and McArdle, Wendy L and McKnight, Barbara and Mohlke, Karen L and Mihailov, Evelin and Milani, Lili and Mills, Rebecca and Montasser, May E and Morris, Andrew P and M{\"u}ller, Gabriele and Musk, Arthur W and Narisu, Narisu and Ong, Ken K and Oostra, Ben A and Osmond, Clive and Palotie, Aarno and Pankow, James S and Paternoster, Lavinia and Penninx, Brenda W and Pichler, Irene and Pilia, Maria G and Polasek, Ozren and Pramstaller, Peter P and Raitakari, Olli T and Rankinen, Tuomo and Rao, D C and Rayner, Nigel W and Ribel-Madsen, Rasmus and Rice, Treva K and Richards, Marcus and Ridker, Paul M and Rivadeneira, Fernando and Ryan, Kathy A and Sanna, Serena and Sarzynski, Mark A and Scholtens, Salome and Scott, Robert A and Sebert, Sylvain and Southam, Lorraine and Spars{\o}, Thomas Hempel and Steinthorsdottir, Valgerdur and Stirrups, Kathleen and Stolk, Ronald P and Strauch, Konstantin and Stringham, Heather M and Swertz, Morris A and Swift, Amy J and T{\"o}njes, Anke and Tsafantakis, Emmanouil and van der Most, Peter J and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Vartiainen, Erkki and Venturini, Cristina and Verweij, Niek and Viikari, Jorma S and Vitart, Veronique and Vohl, Marie-Claude and Vonk, Judith M and Waeber, G{\'e}rard and Widen, Elisabeth and Willemsen, Gonneke and Wilsgaard, Tom and Winkler, Thomas W and Wright, Alan F and Yerges-Armstrong, Laura M and Hua Zhao, Jing and Zillikens, M Carola and Boomsma, Dorret I and Bouchard, Claude and Chambers, John C and Chasman, Daniel I and Cusi, Daniele and Gansevoort, Ron T and Gieger, Christian and Hansen, Torben and Hicks, Andrew A and Hu, Frank and Hveem, Kristian and Jarvelin, Marjo-Riitta and Kajantie, Eero and Kooner, Jaspal S and Kuh, Diana and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Metspalu, Andres and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Palmer, Lyle J and Pedersen, Oluf and Perola, Markus and Peters, Annette and Psaty, Bruce M and Puolijoki, Hannu and Rauramaa, Rainer and Rudan, Igor and Salomaa, Veikko and Schwarz, Peter E H and Shudiner, Alan R and Smit, Jan H and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and Stumvoll, Michael and Tremblay, Angelo and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and V{\"o}lker, Uwe and Vollenweider, Peter and Wareham, Nicholas J and Watkins, Hugh and Wilson, James F and Zeggini, Eleftheria and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and van Duijn, Cornelia M and Fox, Caroline and Groop, Leif C and Heid, Iris M and Hunter, David J and Kaplan, Robert C and McCarthy, Mark I and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Schlessinger, David and Thorsteinsdottir, Unnur and Strachan, David P and Frayling, Timothy and Hirschhorn, Joel N and M{\"u}ller-Nurasyid, Martina and Loos, Ruth J F} } @article {6850, title = {Relations of Postload and Fasting Glucose With Incident Cardiovascular Disease and Mortality Late in Life: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {71}, year = {2016}, month = {2016 Mar}, pages = {370-7}, abstract = {

BACKGROUND: Older adults have a high prevalence of postload hyperglycemia. Postload glucose has shown more robust associations with cardiovascular disease (CVD) and death than fasting glucose, but data in the oldest old are sparse.

METHODS: Fasting and 2-hour postload glucose were measured in community-dwelling older adults, mean age 78, at the 1996-1997 follow-up visit of the Cardiovascular Health Study. We evaluated their associations with atherosclerotic CVD (ASCVD) and mortality using standard Cox regression and competing-risks analyses and assessed improvement in prediction-model discrimination with the c-statistic.

RESULTS: Among 2,394 participants without treated diabetes and available data on glycemic measures, there were 579 ASCVD events and 1,698 deaths during median follow-up of 11.2 years. In fully adjusted models, both fasting and 2-hour glucose were associated with ASCVD (HR per SD, 1.13 [1.03-1.25] and 1.17 [1.07-1.28], respectively) and all-cause mortality (HR 1.12 [1.07-1.18] and 1.14 [1.08-1.20]). After mutual adjustment, however, the associations for fasting glucose with both outcomes were abolished, but those for postload glucose were largely unchanged. Consistent findings were observed for ASCVD in competing-risks models.

CONCLUSION: In adults surviving to advanced old age, postload glucose was associated with ASCVD and mortality independently of fasting glucose, but fasting glucose was not associated with these outcomes independently of postload glucose. These findings affirm the robust association of postload glucose with ASCVD and death late in life.

}, keywords = {Aged, Aging, Blood Glucose, Cardiovascular Diseases, Fasting, Female, Follow-Up Studies, Glucose, Glucose Tolerance Test, Health Surveys, Humans, Incidence, Male, Proportional Hazards Models, Prospective Studies, Risk Assessment, Risk Factors, Survival Rate, United States}, issn = {1758-535X}, doi = {10.1093/gerona/glv106}, author = {Brutsaert, Erika F and Shitole, Sanyog and Biggs, Mary Lou and Mukamal, Kenneth J and deBoer, Ian H and Thacker, Evan L and Barzilay, Joshua I and Djouss{\'e}, Luc and Ix, Joachim H and Smith, Nicholas L and Kaplan, Robert C and Siscovick, David S and Psaty, Bruce M and Kizer, Jorge R} } @article {7547, title = {The Association Between IGF-I and IGFBP-3 and Incident Diabetes in an Older Population of Men and Women in the Cardiovascular Health Study.}, journal = {J Clin Endocrinol Metab}, volume = {102}, year = {2017}, month = {2017 Dec 01}, pages = {4541-4547}, abstract = {

Context: Insulin-like growth factor-I (IGF-I) has structural and functional similarities to insulin and may play a role in glucose homeostasis, along with insulin-like growth factor binding protein-3 (IGFBP-3), which binds the majority of circulating IGF-I.

Objective: To assess whether IGF-I and IGFBP-3 are associated with a higher risk of incident diabetes in older adults.

Design: Participants in the Cardiovascular Health Study (n = 3133), a cohort of adults aged >=65 years, were observed for 16 years (n = 3133) for the development of incident diabetes. Statistical models were fit separately for men and women because of interactions with sex (P interaction: IGF-I, 0.02; IGFBP-3, 0.009) and were adjusted for relevant covariates.

Setting: General community.

Participants: Older adults who were nondiabetic at baseline and who did not develop diabetes within the first year of follow-up.

Interventions: Not applicable.

Main Outcome Measure: Incident diabetes as measured by fasting plasma glucose (FPG) >=126 mg/dL, non-FPG >=200 mg/dL, use of pharmacological treatment of diabetes, or existence of two or more inpatient or three or more outpatient or (at least one inpatient and at least one outpatient) Centers for Medicare \& Medicaid Services claims with the diagnostic International Classification of Diseases, Ninth Revision, Clinical Modification code of 250.xx.

Results: In women, higher IGFBP-3 (hazard ratio tertile 3 vs tertile 1 = 2.30; 95\% confidence interval, 1.55 to 3.40; P trend < 0.0001) was significantly associated with incident diabetes. Total IGF-I was not significantly associated with incident diabetes. In men, neither IGF-I nor IGFBP-3 was significantly associated with incident diabetes.

Conclusions: We confirmed a previously reported association between circulating IGFBP-3 and diabetes risk in the older adult population, establishing that this association is present among women but could not be shown to be associated in men.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Blood Glucose, Cardiovascular Diseases, Cohort Studies, Diabetes Mellitus, Female, Humans, Incidence, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Longitudinal Studies, Male, New England, Prospective Studies, Risk}, issn = {1945-7197}, doi = {10.1210/jc.2017-01273}, author = {Aneke-Nash, Chino S and Xue, XiaoNan and Qi, Qibin and Biggs, Mary L and Cappola, Anne and Kuller, Lewis and Pollak, Michael and Psaty, Bruce M and Siscovick, David and Mukamal, Kenneth and Strickler, Howard D and Kaplan, Robert C} } @article {7563, title = {Concordance With Prevention Guidelines and Subsequent Cancer, Cardiovascular Disease, and Mortality: A Longitudinal Study of Older Adults.}, journal = {Am J Epidemiol}, volume = {186}, year = {2017}, month = {2017 Nov 15}, pages = {1168-1179}, abstract = {

Reports on the associations between multiple clinical and behavioral health indicators and major health outcomes among older adults are scarce. We prospectively examined concordance with guidelines from the American Cancer Society and American Heart Association for disease prevention in relation to cancer, cardiovascular disease (CVD), and mortality among Cardiovascular Health Study enrollees aged 65-98 years who, at baseline assessment in 1989-1996 (n = 3,491), were free of CVD and cancer. Total and cause-specific mortality, as well as incidence of cancer and CVD, were lower with higher guideline concordance. Independent of body mass index, blood pressure, total cholesterol, and fasting plasma glucose, better health behaviors (diet, physical activity, and alcohol consumption) were associated with lower mortality (2-sided P < 0.0001). Among individuals with ideal levels for 3-4 of these 4 cardiometabolic biomarkers, those with poor concordance with health behavior recommendations had higher mortality compared with those who had the highest concordance with these behavioral recommendations (adjusted mortality hazard ratio = 1.82, 95\% confidence interval: 1.25, 2.67). Older adults who are concordant with recommendations for cancer and CVD prevention have reduced rates of chronic disease and mortality. Interventions to achieve and maintain healthy lifestyle behaviors may offer benefits both in the presence and absence of adverse traditional clinical risk factors.

}, keywords = {Aged, Aged, 80 and over, American Cancer Society, American Heart Association, Body Mass Index, Cardiovascular Diseases, Cause of Death, Diet, Exercise, Female, Guideline Adherence, Healthy Lifestyle, Humans, Incidence, Longitudinal Studies, Male, Neoplasms, Practice Guidelines as Topic, Prospective Studies, United States}, issn = {1476-6256}, doi = {10.1093/aje/kwx150}, author = {Greenlee, Heather and Strizich, Garrett and Lovasi, Gina S and Kaplan, Robert C and Biggs, Mary L and Li, Christopher I and Richardson, John and Burke, Gregory L and Fitzpatrick, Annette L and Fretts, Amanda M and Psaty, Bruce M and Fried, Linda P} } @article {7560, title = {Disability Trajectories Before and After Stroke and Myocardial Infarction: The Cardiovascular Health Study.}, journal = {JAMA Neurol}, volume = {74}, year = {2017}, month = {2017 Dec 01}, pages = {1439-1445}, abstract = {

Importance: Ischemic strokes may accelerate long-term functional decline apart from their acute effects on neurologic function.

Objective: To test whether the increase in long-term disability is steeper after than before the event for ischemic stroke but not myocardial infarction (MI).

Design, Settings, and Participants: In the population-based, prospective cohort Cardiovascular Health Study (1989-2013), longitudinal follow-up was conducted for a mean (SD) of 13 (6.2) years. Follow-up data were used until September 1, 2013; data analysis was performed from August 1, 2013, to June 1, 2016. Models based on generalized estimating equations adjusted for baseline covariates and included a test for different slopes of disability before and after the event. Participants included 5888 Medicare-eligible individuals 65 years or older who were not institutionalized, expected to reside in the area for 3 or more years, and able to provide informed consent. Exclusions were needing a wheelchair, receiving hospice care, and undergoing radiotherapy or chemotherapy.

Exposures: Ischemic stroke and MI.

Main Outcomes and Measures: Annual assessments with a disability scale (measuring activities of daily living [ADLs] and instrumental ADLs). The number of ADLs and instrumental ADLs (range, 0-12) that the participant could not perform was analyzed continuously.

Results: The mean (SD) age of the entire cohort (n = 5888) was 72.8 (5.6) years; 2495 (42.4\%) were male. During follow-up, 382 (6.5\%) participants had ischemic stroke and 395 (6.7\%) had MI with 1 or more disability assessment after the event. There was a mean of 3.7 (2.4) visits before stroke and 3.7 (2.3) visits after stroke; there was a mean of 3.8 (2.5) visits before MI and 3.8 (2.4) visits after MI. The increase in disability near the time of the event was greater for stroke (0.88 points on the disability scale; 95\% CI, 0.57 to 1.20; P < .001) than MI (0.20 points on the disability scale; 95\% CI, 0.06 to 0.35; P = .006). The annual increase in disability before stroke (0.06 points per year; 95\% CI, 0.002 to 0.12; P = .04) more than tripled after stroke (0.15 additional points per year; 95\% CI, 0.004 to 0.30; P = .04). The annual increase in disability before MI (0.04 points per year; 95\% CI, 0.004 to 0.08; P = .03) did not change significantly after MI (0.02 additional points per year; 95\% CI, -0.07 to 0.11; P = .69).

Conclusions and Relevance: In this large, population-based study, a trajectory of increasing disability became significantly steeper after stroke but not after MI. Thus, in addition to the acute brain injury and consequent impairment, ischemic stroke may also be associated with potentially treatable long-term adverse effects on the brain that lead to accelerated functional decline.

}, keywords = {Activities of Daily Living, Aged, Brain Ischemia, Cohort Studies, Disabled Persons, Disease Progression, Female, Humans, Male, Myocardial Infarction, Prospective Studies, Stroke}, issn = {2168-6157}, doi = {10.1001/jamaneurol.2017.2802}, author = {Dhamoon, Mandip S and Longstreth, W T and Bartz, Traci M and Kaplan, Robert C and Elkind, Mitchell S V} } @article {7584, title = {Trajectories of IGF-I Predict Mortality in Older Adults: The Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2017}, month = {2017 Jul 23}, abstract = {

Background: Disruption of insulin-like growth factor-I (IGF-I) increases health and life span in animal models, though this is unconfirmed in humans. If IGF-I stability indicates homeostasis, the absolute level of IGF-I may be less clinically relevant than maintaining an IGF-I setpoint.

Methods: Participants were 945 U.S. community-dwelling individuals aged >=65 years enrolled in the Cardiovascular Health Study with IGF-I levels at 3-6 timepoints. We examined the association of baseline IGF-I level, trajectory slope, and variability around the trajectory with mortality.

Results: There were 633 deaths over median 11.3 years of follow-up. Lower IGF-I levels, declining or increasing slope, and increasing variability were each individually associated with higher mortality (all p < .001). In an adjusted model including all three trajectory parameters, baseline IGF-I levels <70 ng/mL (hazard ratio [HR] 1.58, 95\% CI 1.28-1.96 relative to IGF-I levels of 170 ng/mL), steep declines and steep increases in trajectory slope (HR 2.22, 1.30-3.80 for a 15\% decline; HR 1.40, 1.07-1.84 for a 10\% decline; HR 1.80, 1.12-2.89 for a 15\% increase; HR 1.31, 1.00-1.72 for a 10\% increase, each vs no change), and variability >=10\% (HR 1.59, 1.09-2.32 for >= 30\%; HR 1.36, 1.06-1.75 for 20\%; and HR 1.17, 1.03-1.32 for 10\% variability, each vs 0\%) in IGF-I levels were independently associated with mortality.

Conclusions: In contrast to data from animal models, low IGF-I levels are associated with higher mortality in older humans. Irrespective of the actual IGF-I level, older individuals with stability of IGF-I levels have lower mortality than those whose IGF-I levels fluctuate over time.

}, issn = {1758-535X}, doi = {10.1093/gerona/glx143}, author = {Sanders, Jason L and Guo, Wensheng and O{\textquoteright}Meara, Ellen S and Kaplan, Robert C and Pollak, Michael N and Bartz, Traci M and Newman, Anne B and Fried, Linda P and Cappola, Anne R} } @article {7671, title = {Association of biomarker and physiologic indices with mortality in older adults: Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2018}, month = {2018 Apr 12}, abstract = {

Background: A goal of gerontology is discovering aging phenotypes that reflect biological aging distinct from disease pathogenesis. Biomarkers strongly and independently associated with mortality and which statistically attenuate chronologic age could be used to define such a phenotype. We determined the association of a Biomarker Index (BI) with mortality and compared it to a validated Physiologic Index (PI) in older adults.

Methods: The indices were constructed in the Cardiovascular Health Study, mean (SD) age 74.5 (5.1) years. The BI incorporated circulating levels of new biomarkers, including insulin-like growth factor (IGF)-1, IGF binding protein 3, amino-terminal pro-B-type natriuretic peptide, dehydroepiandrosterone sulfate, and interleukin-6, and was built in test (N=2197) and validation (N=1124) samples. The PI included carotid intima-media thickness, pulmonary capacity, brain white matter grade, cystatin-C, and fasting glucose. Multivariable Cox proportional hazards models predicting death were calculated with 10 years of follow-up.

Results: In separate age-adjusted models, the hazard ratio (HR) for mortality per point of the BI was 1.30 (95\% CI 1.25, 1.34) and the BI attenuated age by 25\%. The HR for the PI was 1.28 (1.24, 1.33) (29\% age attenuation). In the same model, the HR for the BI was 1.23 (1.18, 1.28) and for the PI was 1.22 (1.17, 1.26), and age was attenuated 42.5\%. Associations persisted after further adjustment.

Conclusions: The BI and PI were significantly and independently associated with mortality. Both attenuated the age effect on mortality substantially. The indices may be feasible phenotypes for developing interventions hoping to alter the trajectory of aging.

}, issn = {1758-535X}, doi = {10.1093/gerona/gly075}, author = {Sanders, Jason L and Arnold, Alice M and Boudreau, Robert M and Hirsch, Calvin H and Kizer, Jorge R and Kaplan, Robert C and Cappola, Anne R and Cushman, Mary and Jacob, Mini E and Kritchevsky, Stephen B and Newman, Anne B} } @article {7819, title = {Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jul 30}, pages = {2976}, abstract = {

Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05369-0}, author = {Wyss, Annah B and Sofer, Tamar and Lee, Mi Kyeong and Terzikhan, Natalie and Nguyen, Jennifer N and Lahousse, Lies and Latourelle, Jeanne C and Smith, Albert Vernon and Bartz, Traci M and Feitosa, Mary F and Gao, Wei and Ahluwalia, Tarunveer S and Tang, Wenbo and Oldmeadow, Christopher and Duan, Qing and de Jong, Kim and Wojczynski, Mary K and Wang, Xin-Qun and Noordam, Raymond and Hartwig, Fernando Pires and Jackson, Victoria E and Wang, Tianyuan and Obeidat, Ma{\textquoteright}en and Hobbs, Brian D and Huan, Tianxiao and Gui, Hongsheng and Parker, Margaret M and Hu, Donglei and Mogil, Lauren S and Kichaev, Gleb and Jin, Jianping and Graff, Mariaelisa and Harris, Tamara B and Kalhan, Ravi and Heckbert, Susan R and Paternoster, Lavinia and Burkart, Kristin M and Liu, Yongmei and Holliday, Elizabeth G and Wilson, James G and Vonk, Judith M and Sanders, Jason L and Barr, R Graham and de Mutsert, Ren{\'e}e and Menezes, Ana Maria Baptista and Adams, Hieab H H and van den Berge, Maarten and Joehanes, Roby and Levin, Albert M and Liberto, Jennifer and Launer, Lenore J and Morrison, Alanna C and Sitlani, Colleen M and Celed{\'o}n, Juan C and Kritchevsky, Stephen B and Scott, Rodney J and Christensen, Kaare and Rotter, Jerome I and Bonten, Tobias N and Wehrmeister, Fernando C{\'e}sar and Boss{\'e}, Yohan and Xiao, Shujie and Oh, Sam and Franceschini, Nora and Brody, Jennifer A and Kaplan, Robert C and Lohman, Kurt and McEvoy, Mark and Province, Michael A and Rosendaal, Frits R and Taylor, Kent D and Nickle, David C and Williams, L Keoki and Burchard, Esteban G and Wheeler, Heather E and Sin, Don D and Gudnason, Vilmundur and North, Kari E and Fornage, Myriam and Psaty, Bruce M and Myers, Richard H and O{\textquoteright}Connor, George and Hansen, Torben and Laurie, Cathy C and Cassano, Patricia A and Sung, Joohon and Kim, Woo Jin and Attia, John R and Lange, Leslie and Boezen, H Marike and Thyagarajan, Bharat and Rich, Stephen S and Mook-Kanamori, Dennis O and Horta, Bernardo Lessa and Uitterlinden, Andr{\'e} G and Im, Hae Kyung and Cho, Michael H and Brusselle, Guy G and Gharib, Sina A and Dupuis, Jos{\'e}e and Manichaikul, Ani and London, Stephanie J} } @article {8621, title = {Inherited causes of clonal haematopoiesis in 97,691 whole genomes.}, journal = {Nature}, volume = {586}, year = {2020}, month = {2020 10}, pages = {763-768}, abstract = {

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is~termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP~driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

}, issn = {1476-4687}, doi = {10.1038/s41586-020-2819-2}, author = {Bick, Alexander G and Weinstock, Joshua S and Nandakumar, Satish K and Fulco, Charles P and Bao, Erik L and Zekavat, Seyedeh M and Szeto, Mindy D and Liao, Xiaotian and Leventhal, Matthew J and Nasser, Joseph and Chang, Kyle and Laurie, Cecelia and Burugula, Bala Bharathi and Gibson, Christopher J and Lin, Amy E and Taub, Margaret A and Aguet, Francois and Ardlie, Kristin and Mitchell, Braxton D and Barnes, Kathleen C and Moscati, Arden and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Silverman, Edwin K and Weiss, Scott T and Palmer, Nicholette D and Vasan, Ramachandran S and Burchard, Esteban G and Kardia, Sharon L R and He, Jiang and Kaplan, Robert C and Smith, Nicholas L and Arnett, Donna K and Schwartz, David A and Correa, Adolfo and de Andrade, Mariza and Guo, Xiuqing and Konkle, Barbara A and Custer, Brian and Peralta, Juan M and Gui, Hongsheng and Meyers, Deborah A and McGarvey, Stephen T and Chen, Ida Yii-Der and Shoemaker, M Benjamin and Peyser, Patricia A and Broome, Jai G and Gogarten, Stephanie M and Wang, Fei Fei and Wong, Quenna and Montasser, May E and Daya, Michelle and Kenny, Eimear E and North, Kari E and Launer, Lenore J and Cade, Brian E and Bis, Joshua C and Cho, Michael H and Lasky-Su, Jessica and Bowden, Donald W and Cupples, L Adrienne and Mak, Angel C Y and Becker, Lewis C and Smith, Jennifer A and Kelly, Tanika N and Aslibekyan, Stella and Heckbert, Susan R and Tiwari, Hemant K and Yang, Ivana V and Heit, John A and Lubitz, Steven A and Johnsen, Jill M and Curran, Joanne E and Wenzel, Sally E and Weeks, Daniel E and Rao, Dabeeru C and Darbar, Dawood and Moon, Jee-Young and Tracy, Russell P and Buth, Erin J and Rafaels, Nicholas and Loos, Ruth J F and Durda, Peter and Liu, Yongmei and Hou, Lifang and Lee, Jiwon and Kachroo, Priyadarshini and Freedman, Barry I and Levy, Daniel and Bielak, Lawrence F and Hixson, James E and Floyd, James S and Whitsel, Eric A and Ellinor, Patrick T and Irvin, Marguerite R and Fingerlin, Tasha E and Raffield, Laura M and Armasu, Sebastian M and Wheeler, Marsha M and Sabino, Ester C and Blangero, John and Williams, L Keoki and Levy, Bruce D and Sheu, Wayne Huey-Herng and Roden, Dan M and Boerwinkle, Eric and Manson, JoAnn E and Mathias, Rasika A and Desai, Pinkal and Taylor, Kent D and Johnson, Andrew D and Auer, Paul L and Kooperberg, Charles and Laurie, Cathy C and Blackwell, Thomas W and Smith, Albert V and Zhao, Hongyu and Lange, Ethan and Lange, Leslie and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Scheet, Paul and Kitzman, Jacob O and Lander, Eric S and Engreitz, Jesse M and Ebert, Benjamin L and Reiner, Alexander P and Jaiswal, Siddhartha and Abecasis, Goncalo and Sankaran, Vijay G and Kathiresan, Sekar and Natarajan, Pradeep} } @article {8639, title = {Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 10 14}, pages = {5182}, abstract = {

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Calcium-Binding Proteins, Feasibility Studies, Female, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Lung, Male, Middle Aged, Polymorphism, Single Nucleotide, Protein Inhibitors of Activated STAT, Pulmonary Disease, Chronic Obstructive, Respiratory Physiological Phenomena, Small Ubiquitin-Related Modifier Proteins, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-020-18334-7}, author = {Zhao, Xutong and Qiao, Dandi and Yang, Chaojie and Kasela, Silva and Kim, Wonji and Ma, Yanlin and Shrine, Nick and Batini, Chiara and Sofer, Tamar and Taliun, Sarah A Gagliano and Sakornsakolpat, Phuwanat and Balte, Pallavi P and Prokopenko, Dmitry and Yu, Bing and Lange, Leslie A and Dupuis, Jos{\'e}e and Cade, Brian E and Lee, Jiwon and Gharib, Sina A and Daya, Michelle and Laurie, Cecelia A and Ruczinski, Ingo and Cupples, L Adrienne and Loehr, Laura R and Bartz, Traci M and Morrison, Alanna C and Psaty, Bruce M and Vasan, Ramachandran S and Wilson, James G and Taylor, Kent D and Durda, Peter and Johnson, W Craig and Cornell, Elaine and Guo, Xiuqing and Liu, Yongmei and Tracy, Russell P and Ardlie, Kristin G and Aguet, Francois and VanDenBerg, David J and Papanicolaou, George J and Rotter, Jerome I and Barnes, Kathleen C and Jain, Deepti and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Dugan-Perez, Shannon and Gupta, Namrata and Gabriel, Stacey and Rich, Stephen S and O{\textquoteright}Connor, George T and Redline, Susan and Reed, Robert M and Laurie, Cathy C and Daviglus, Martha L and Preudhomme, Liana K and Burkart, Kristin M and Kaplan, Robert C and Wain, Louise V and Tobin, Martin D and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Abecasis, Goncalo R and Silverman, Edwin K and Barr, R Graham and Cho, Michael H and Manichaikul, Ani} } @article {8711, title = {Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 04 12}, pages = {2182}, abstract = {

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 {\texttimes} 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 {\texttimes} 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 {\texttimes} 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-22339-1}, author = {Natarajan, Pradeep and Pampana, Akhil and Graham, Sarah E and Ruotsalainen, Sanni E and Perry, James A and de Vries, Paul S and Broome, Jai G and Pirruccello, James P and Honigberg, Michael C and Aragam, Krishna and Wolford, Brooke and Brody, Jennifer A and Antonacci-Fulton, Lucinda and Arden, Moscati and Aslibekyan, Stella and Assimes, Themistocles L and Ballantyne, Christie M and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Do, Ron and Doddapaneni, Harsha and Emery, Leslie S and Hung, Yi-Jen and Irvin, Marguerite R and Khan, Alyna T and Lange, Leslie and Lee, Jiwon and Lemaitre, Rozenn N and Martin, Lisa W and Metcalf, Ginger and Montasser, May E and Moon, Jee-Young and Muzny, Donna and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peralta, Juan M and Peyser, Patricia A and Stilp, Adrienne M and Tsai, Michael and Wang, Fei Fei and Weeks, Daniel E and Yanek, Lisa R and Wilson, James G and Abecasis, Goncalo and Arnett, Donna K and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Chang, Yi-Cheng and Chen, Yii-der I and Choi, Won Jung and Correa, Adolfo and Curran, Joanne E and Daly, Mark J and Dutcher, Susan K and Ellinor, Patrick T and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and He, Jiang and Hveem, Kristian and Jarvik, Gail P and Kaplan, Robert C and Kardia, Sharon L R and Kenny, Eimear and Kim, Ryan W and Kooperberg, Charles and Laurie, Cathy C and Lee, Seonwook and Lloyd-Jones, Don M and Loos, Ruth J F and Lubitz, Steven A and Mathias, Rasika A and Martinez, Karine A Viaud and McGarvey, Stephen T and Mitchell, Braxton D and Nickerson, Deborah A and North, Kari E and Palotie, Aarno and Park, Cheol Joo and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Seo, Daekwan and Seo, Jeong-Sun and Smith, Albert V and Tracy, Russell P and Vasan, Ramachandran S and Kathiresan, Sekar and Cupples, L Adrienne and Rotter, Jerome I and Morrison, Alanna C and Rich, Stephen S and Ripatti, Samuli and Willer, Cristen and Peloso, Gina M} } @article {9005, title = {Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jan 14}, abstract = {

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (), synaptic function and neurotransmission (), as well as genes previously implicated in neuropsychiatric or stress-related disorders (). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2020.100013}, author = {Sun, Daokun and Richard, Melissa and Musani, Solomon K and Sung, Yun Ju and Winkler, Thomas W and Schwander, Karen and Chai, Jin Fang and Guo, Xiuqing and Kilpel{\"a}inen, Tuomas O and Vojinovic, Dina and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Brown, Michael R and Chitrala, Kumaraswamy and Hartwig, Fernando P and Horimoto, Andrea R V R and Liu, Yongmei and Manning, Alisa K and Noordam, Raymond and Smith, Albert V and Harris, Sarah E and Kuhnel, Brigitte and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and van der Most, Peter J and Wang, Rujia and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Arking, Dan E and Arnett, Donna K and Barac, Ana and Boerwinkle, Eric and Broeckel, Ulrich and Chakravarti, Aravinda and Chen, Yii-Der Ida and Cupples, L Adrienne and Davigulus, Martha L and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Vries, Paul S and Delaney, Joseph A C and Roux, Ana V Diez and D{\"o}rr, Marcus and Faul, Jessica D and Fretts, Amanda M and Gallo, Linda C and Grabe, Hans J{\"o}rgen and Gu, C Charles and Harris, Tamara B and Hartman, Catharina C A and Heikkinen, Sami and Ikram, M Arfan and Isasi, Carmen and Johnson, W Craig and Jonas, Jost Bruno and Kaplan, Robert C and Komulainen, Pirjo and Krieger, Jose E and Levy, Daniel and Liu, Jianjun and Lohman, Kurt and Luik, Annemarie I and Martin, Lisa W and Meitinger, Thomas and Milaneschi, Yuri and O{\textquoteright}Connell, Jeff R and Palmas, Walter R and Peters, Annette and Peyser, Patricia A and Pulkki-R{\r a}back, Laura and Raffel, Leslie J and Reiner, Alex P and Rice, Kenneth and Robinson, Jennifer G and Rosendaal, Frits R and Schmidt, Carsten Oliver and Schreiner, Pamela J and Schwettmann, Lars and Shikany, James M and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Sotoodehnia, Nona and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Waldenberger, Melanie and Wee, Hwee-Lin and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Zeng, Donglin and Zhao, Wei and Zhu, Xiaofeng and Zonderman, Alan B and Becker, Diane M and Deary, Ian J and Gieger, Christian and Lakka, Timo A and Lehtim{\"a}ki, Terho and North, Kari E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Snieder, Harold and Wang, Ya-Xing and Weir, David R and Zheng, Wei and Evans, Michele K and Gauderman, W James and Gudnason, Vilmundur and Horta, Bernardo L and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Morrison, Alanna C and Pereira, Alexandre C and Psaty, Bruce M and Amin, Najaf and Fox, Ervin R and Kooperberg, Charles and Sim, Xueling and Bierut, Laura and Rotter, Jerome I and Kardia, Sharon L R and Franceschini, Nora and Rao, Dabeeru C and Fornage, Myriam} } @article {8920, title = {Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program.}, journal = {Genome Med}, volume = {13}, year = {2021}, month = {2021 08 26}, pages = {136}, abstract = {

BACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing.

METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90\%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap.

RESULTS: We identified a multi-ethnic set-based rare-variant association (p = 3.48 {\texttimes} 10) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways.

CONCLUSIONS: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.

}, issn = {1756-994X}, doi = {10.1186/s13073-021-00917-8}, author = {Cade, Brian E and Lee, Jiwon and Sofer, Tamar and Wang, Heming and Zhang, Man and Chen, Han and Gharib, Sina A and Gottlieb, Daniel J and Guo, Xiuqing and Lane, Jacqueline M and Liang, Jingjing and Lin, Xihong and Mei, Hao and Patel, Sanjay R and Purcell, Shaun M and Saxena, Richa and Shah, Neomi A and Evans, Daniel S and Hanis, Craig L and Hillman, David R and Mukherjee, Sutapa and Palmer, Lyle J and Stone, Katie L and Tranah, Gregory J and Abecasis, Goncalo R and Boerwinkle, Eric A and Correa, Adolfo and Cupples, L Adrienne and Kaplan, Robert C and Nickerson, Deborah A and North, Kari E and Psaty, Bruce M and Rotter, Jerome I and Rich, Stephen S and Tracy, Russell P and Vasan, Ramachandran S and Wilson, James G and Zhu, Xiaofeng and Redline, Susan} } @article {9246, title = {Correlations between complex human phenotypes vary by genetic background, gender, and environment.}, journal = {Cell Rep Med}, volume = {3}, year = {2022}, month = {2022 Dec 20}, pages = {100844}, abstract = {

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet \~{}20{\texttimes} faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

}, keywords = {Female, Genetic Background, Humans, Male, Phenotype}, issn = {2666-3791}, doi = {10.1016/j.xcrm.2022.100844}, author = {Elgart, Michael and Goodman, Matthew O and Isasi, Carmen and Chen, Han and Morrison, Alanna C and de Vries, Paul S and Xu, Huichun and Manichaikul, Ani W and Guo, Xiuqing and Franceschini, Nora and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Lloyd-Jones, Donald M and Fornage, Myriam and Correa, Adolfo and Heard-Costa, Nancy L and Vasan, Ramachandran S and Hernandez, Ryan and Kaplan, Robert C and Redline, Susan and Sofer, Tamar} } @article {9099, title = {Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.}, journal = {Hypertension}, year = {2022}, month = {2022 Jun 02}, pages = {101161HYPERTENSIONAHA12219324}, abstract = {

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5{\texttimes}10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99{\texttimes}10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18{\texttimes}10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28{\texttimes}10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1{\texttimes}10 and <1{\texttimes}10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.122.19324}, author = {Kelly, Tanika N and Sun, Xiao and He, Karen Y and Brown, Michael R and Taliun, Sarah A Gagliano and Hellwege, Jacklyn N and Irvin, Marguerite R and Mi, Xuenan and Brody, Jennifer A and Franceschini, Nora and Guo, Xiuqing and Hwang, Shih-Jen and de Vries, Paul S and Gao, Yan and Moscati, Arden and Nadkarni, Girish N and Yanek, Lisa R and Elfassy, Tali and Smith, Jennifer A and Chung, Ren-Hua and Beitelshees, Amber L and Patki, Amit and Aslibekyan, Stella and Blobner, Brandon M and Peralta, Juan M and Assimes, Themistocles L and Palmas, Walter R and Liu, Chunyu and Bress, Adam P and Huang, Zhijie and Becker, Lewis C and Hwa, Chii-Min and O{\textquoteright}Connell, Jeffrey R and Carlson, Jenna C and Warren, Helen R and Das, Sayantan and Giri, Ayush and Martin, Lisa W and Craig Johnson, W and Fox, Ervin R and Bottinger, Erwin P and Razavi, Alexander C and Vaidya, Dhananjay and Chuang, Lee-Ming and Chang, Yen-Pei C and Naseri, Take and Jain, Deepti and Kang, Hyun Min and Hung, Adriana M and Srinivasasainagendra, Vinodh and Snively, Beverly M and Gu, Dongfeng and Montasser, May E and Reupena, Muagututi{\textquoteright}a Sefuiva and Heavner, Benjamin D and LeFaive, Jonathon and Hixson, James E and Rice, Kenneth M and Wang, Fei Fei and Nielsen, Jonas B and Huang, Jianfeng and Khan, Alyna T and Zhou, Wei and Nierenberg, Jovia L and Laurie, Cathy C and Armstrong, Nicole D and Shi, Mengyao and Pan, Yang and Stilp, Adrienne M and Emery, Leslie and Wong, Quenna and Hawley, Nicola L and Minster, Ryan L and Curran, Joanne E and Munroe, Patricia B and Weeks, Daniel E and North, Kari E and Tracy, Russell P and Kenny, Eimear E and Shimbo, Daichi and Chakravarti, Aravinda and Rich, Stephen S and Reiner, Alex P and Blangero, John and Redline, Susan and Mitchell, Braxton D and Rao, Dabeeru C and Ida Chen, Yii-Der and Kardia, Sharon L R and Kaplan, Robert C and Mathias, Rasika A and He, Jiang and Psaty, Bruce M and Fornage, Myriam and Loos, Ruth J F and Correa, Adolfo and Boerwinkle, Eric and Rotter, Jerome I and Kooperberg, Charles and Edwards, Todd L and Abecasis, Goncalo R and Zhu, Xiaofeng and Levy, Daniel and Arnett, Donna K and Morrison, Alanna C} } @article {9100, title = {A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Jun 21}, pages = {3549}, abstract = {

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called "PRSsum", forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease.

}, keywords = {Adult, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Multifactorial Inheritance, Prevalence, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-022-31080-2}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Kelly, Tanika N and Elfassy, Tali and Wiggins, Kerri L and Bis, Joshua C and Guo, Xiuqing and Palmas, Walter and Taylor, Kent D and Lin, Henry J and Haessler, Jeffrey and Gao, Yan and Shimbo, Daichi and Smith, Jennifer A and Yu, Bing and Feofanova, Elena V and Smit, Roelof A J and Wang, Zhe and Hwang, Shih-Jen and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Lloyd-Jones, Donald M and Rich, Stephen S and Loos, Ruth J F and Redline, Susan and Correa, Adolfo and Kooperberg, Charles and Fornage, Myriam and Kaplan, Robert C and Psaty, Bruce M and Rotter, Jerome I and Arnett, Donna K and Morrison, Alanna C and Franceschini, Nora and Levy, Daniel and Sofer, Tamar} } @article {9037, title = {Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.}, journal = {Am J Hum Genet}, year = {2022}, month = {2022 Mar 31}, abstract = {

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1~s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR]~= 1.24 [95\% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with >= 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p~<~2.2~{\texttimes}~10 with portability gains ranging from 5\% to 28\%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2022.03.007}, author = {Hu, Xiaowei and Qiao, Dandi and Kim, Wonji and Moll, Matthew and Balte, Pallavi P and Lange, Leslie A and Bartz, Traci M and Kumar, Rajesh and Li, Xingnan and Yu, Bing and Cade, Brian E and Laurie, Cecelia A and Sofer, Tamar and Ruczinski, Ingo and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Gabriel, Stacy and Gupta, Namrata and Dugan-Perez, Shannon and Cupples, L Adrienne and Loehr, Laura R and Jain, Deepti and Rotter, Jerome I and Wilson, James G and Psaty, Bruce M and Fornage, Myriam and Morrison, Alanna C and Vasan, Ramachandran S and Washko, George and Rich, Stephen S and O{\textquoteright}Connor, George T and Bleecker, Eugene and Kaplan, Robert C and Kalhan, Ravi and Redline, Susan and Gharib, Sina A and Meyers, Deborah and Ortega, Victor and Dupuis, Jos{\'e}e and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Silverman, Edwin K and Barr, R Graham and Thornton, Timothy A and Wheeler, Heather E and Cho, Michael H and Im, Hae Kyung and Manichaikul, Ani} } @article {9168, title = {Rare genetic variants explain missing heritability in smoking.}, journal = {Nat Hum Behav}, year = {2022}, month = {2022 Aug 04}, abstract = {

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this {\textquoteright}missing heritability{\textquoteright}. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74\% of it attributable to rare variants with minor allele frequencies between 0.01\% and 1\%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60\% to 100\% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.

}, issn = {2397-3374}, doi = {10.1038/s41562-022-01408-5}, author = {Jang, Seon-Kyeong and Evans, Luke and Fialkowski, Allison and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Becker, Diane M and Bis, Joshua C and Blangero, John and Bleecker, Eugene R and Boorgula, Meher Preethi and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Jenkins, Brenda W Campbell and Carson, April P and Chavan, Sameer and Cupples, L Adrienne and Custer, Brian and Damrauer, Scott M and David, Sean P and de Andrade, Mariza and Dinardo, Carla L and Fingerlin, Tasha E and Fornage, Myriam and Freedman, Barry I and Garrett, Melanie E and Gharib, Sina A and Glahn, David C and Haessler, Jeffrey and Heckbert, Susan R and Hokanson, John E and Hou, Lifang and Hwang, Shih-Jen and Hyman, Matthew C and Judy, Renae and Justice, Anne E and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Shannon and Kim, Wonji and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani W and Gladwin, Mark T and Martin, Lisa Warsinger and Nouraie, Mehdi and Melander, Olle and Meyers, Deborah A and Montgomery, Courtney G and North, Kari E and Oelsner, Elizabeth C and Palmer, Nicholette D and Payton, Marinelle and Peljto, Anna L and Peyser, Patricia A and Preuss, Michael and Psaty, Bruce M and Qiao, Dandi and Rader, Daniel J and Rafaels, Nicholas and Redline, Susan and Reed, Robert M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Silverman, Edwin K and Smith, Nicholas L and Smith, J Gustav and Smith, Albert V and Smith, Jennifer A and Tang, Weihong and Taylor, Kent D and Telen, Marilyn J and Vasan, Ramachandran S and Gordeuk, Victor R and Wang, Zhe and Wiggins, Kerri L and Yanek, Lisa R and Yang, Ivana V and Young, Kendra A and Young, Kristin L and Zhang, Yingze and Liu, Dajiang J and Keller, Matthew C and Vrieze, Scott} } @article {9261, title = {Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Dec 08}, pages = {7592}, abstract = {

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

}, keywords = {Blood Cells, Genome-Wide Association Study, Humans, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-022-35354-7}, author = {Wheeler, Marsha M and Stilp, Adrienne M and Rao, Shuquan and Halldorsson, Bjarni V and Beyter, Doruk and Wen, Jia and Mihkaylova, Anna V and McHugh, Caitlin P and Lane, John and Jiang, Min-Zhi and Raffield, Laura M and Jun, Goo and Sedlazeck, Fritz J and Metcalf, Ginger and Yao, Yao and Bis, Joshua B and Chami, Nathalie and de Vries, Paul S and Desai, Pinkal and Floyd, James S and Gao, Yan and Kammers, Kai and Kim, Wonji and Moon, Jee-Young and Ratan, Aakrosh and Yanek, Lisa R and Almasy, Laura and Becker, Lewis C and Blangero, John and Cho, Michael H and Curran, Joanne E and Fornage, Myriam and Kaplan, Robert C and Lewis, Joshua P and Loos, Ruth J F and Mitchell, Braxton D and Morrison, Alanna C and Preuss, Michael and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Tang, Hua and Tracy, Russell P and Boerwinkle, Eric and Abecasis, Goncalo R and Blackwell, Thomas W and Smith, Albert V and Johnson, Andrew D and Mathias, Rasika A and Nickerson, Deborah A and Conomos, Matthew P and Li, Yun and {\TH}orsteinsdottir, Unnur and Magn{\'u}sson, Magn{\'u}s K and Stefansson, Kari and Pankratz, Nathan D and Bauer, Daniel E and Auer, Paul L and Reiner, Alex P} } @article {9258, title = {Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease.}, journal = {Hum Mol Genet}, year = {2022}, month = {2022 Nov 29}, abstract = {

Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95\% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 {\texttimes} 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95\% confidence interval: 3.06, 9.21) of DKD (P = 2.72 {\texttimes} 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 {\texttimes} 10-8) and NPEPPS (P = 1.51 {\texttimes} 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddac290}, author = {Pan, Yang and Sun, Xiao and Mi, Xuenan and Huang, Zhijie and Hsu, Yenchih and Hixson, James E and Munzy, Donna and Metcalf, Ginger and Franceschini, Nora and Tin, Adrienne and K{\"o}ttgen, Anna and Francis, Michael and Brody, Jennifer A and Kestenbaum, Bryan and Sitlani, Colleen M and Mychaleckyj, Josyf C and Kramer, Holly and Lange, Leslie A and Guo, Xiuqing and Hwang, Shih-Jen and Irvin, Marguerite R and Smith, Jennifer A and Yanek, Lisa R and Vaidya, Dhananjay and Chen, Yii-Der Ida and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Mathias, Rasika A and Mitchell, Braxton D and Peyser, Patricia A and Kardia, Sharon L R and Arnett, Donna K and Correa, Adolfo and Raffield, Laura M and Vasan, Ramachandran S and Cupple, L Adrienne and Levy, Daniel and Kaplan, Robert C and North, Kari E and Rotter, Jerome I and Kooperberg, Charles and Reiner, Alexander P and Psaty, Bruce M and Tracy, Russell P and Gibbs, Richard A and Morrison, Alanna C and Feldman, Harold and Boerwinkle, Eric and He, Jiang and Kelly, Tanika N} } @article {9379, title = {Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Jun 02}, pages = {3202}, abstract = {

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

}, keywords = {Blood Pressure, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Population Health, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-38990-9}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Khan, Alyna T and Wang, Jiongming and Feofanova, Elena and Bis, Joshua C and Wiggins, Kerri L and Huffman, Jennifer E and Kelly, Tanika and Elfassy, Tali and Guo, Xiuqing and Palmas, Walter and Lin, Henry J and Hwang, Shih-Jen and Gao, Yan and Young, Kendra and Kinney, Gregory L and Smith, Jennifer A and Yu, Bing and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Zhu, Xiaofeng and Chen, Yii-Der Ida and Lee, I-Te and Gu, C Charles and Lloyd-Jones, Donald M and Z{\"o}llner, Sebastian and Fornage, Myriam and Kooperberg, Charles and Correa, Adolfo and Psaty, Bruce M and Arnett, Donna K and Isasi, Carmen R and Rich, Stephen S and Kaplan, Robert C and Redline, Susan and Mitchell, Braxton D and Franceschini, Nora and Levy, Daniel and Rotter, Jerome I and Morrison, Alanna C and Sofer, Tamar} } @article {9418, title = {Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 29}, abstract = {

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a {\textpm}500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73\%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56\%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.

}, doi = {10.1101/2023.06.28.23291966}, author = {Wang, Yuxuan and Selvaraj, Margaret Sunitha and Li, Xihao and Li, Zilin and Holdcraft, Jacob A and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Cade, Brian E and Carlson, Jenna C and Carson, April P and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Dutcher, Susan K and Ellinor, Patrick T and Floyd, James S and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and Guo, Xiuqing and He, Jiang and Heard-Costa, Nancy and Hildalgo, Bertha and Hou, Lifang and Irvin, Marguerite R and Joehanes, Roby and Kaplan, Robert C and Kardia, Sharon Lr and Kelly, Tanika N and Kim, Ryan and Kooperberg, Charles and Kral, Brian G and Levy, Daniel and Li, Changwei and Liu, Chunyu and Lloyd-Jone, Don and Loos, Ruth Jf and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Murabito, Joanne M and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Rao, Dabeeru C and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Ruepena, Muagututi{\textquoteright}a Sefuiva and Sheu, Wayne H-H and Smith, Jennifer A and Smith, Albert and Tiwari, Hemant K and Tsai, Michael Y and Viaud-Martinez, Karine A and Wang, Zhe and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Lin, Xihong and Natarajan, Pradeep and Peloso, Gina M} } @article {9543, title = {A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {bioRxiv}, year = {2023}, month = {2023 Nov 02}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally-scalable analytical pipeline for functionally-informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides) in 61,861 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered new associations with lipid traits missed by single-trait analysis, including rare variants within an enhancer of and an intergenic region on chromosome 1.

}, doi = {10.1101/2023.10.30.564764}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant and Vasan, Ramachandran S and Wang, Zhe and Yanek, Lisa R and Yu, Bing and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} } @article {9500, title = {Whole Genome Sequencing Based Analysis of Inflammation Biomarkers in the Trans-Omics for Precision Medicine (TOPMed) Consortium.}, journal = {bioRxiv}, year = {2023}, month = {2023 Sep 12}, abstract = {

Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38,465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program. We identified 22 distinct single-variant associations across 6 traits - E-selectin, intercellular adhesion molecule 1, interleukin-6, lipoprotein-associated phospholipase A2 activity and mass, and P-selectin - that remained significant after conditioning on previously identified associations for these inflammatory biomarkers. We further expanded upon known biomarker associations by pairing the single-variant analysis with a rare variant set-based analysis that further identified 19 significant rare variant set-based associations with 5 traits. These signals were distinct from both significant single variant association signals within TOPMed and genetic signals observed in prior studies, demonstrating the complementary value of performing both single and rare variant analyses when analyzing quantitative traits. We also confirm several previously reported signals from semi-quantitative proteomics platforms. Many of these signals demonstrate the extensive allelic heterogeneity and ancestry-differentiated variant-trait associations common for inflammation biomarkers, a characteristic we hypothesize will be increasingly observed with well-powered, large-scale analyses of complex traits.

}, doi = {10.1101/2023.09.10.555215}, author = {Jiang, Min-Zhi and Gaynor, Sheila M and Li, Xihao and Van Buren, Eric and Stilp, Adrienne and Buth, Erin and Wang, Fei Fei and Manansala, Regina and Gogarten, Stephanie M and Li, Zilin and Polfus, Linda M and Salimi, Shabnam and Bis, Joshua C and Pankratz, Nathan and Yanek, Lisa R and Durda, Peter and Tracy, Russell P and Rich, Stephen S and Rotter, Jerome I and Mitchell, Braxton D and Lewis, Joshua P and Psaty, Bruce M and Pratte, Katherine A and Silverman, Edwin K and Kaplan, Robert C and Avery, Christy and North, Kari and Mathias, Rasika A and Faraday, Nauder and Lin, Honghuang and Wang, Biqi and Carson, April P and Norwood, Arnita F and Gibbs, Richard A and Kooperberg, Charles and Lundin, Jessica and Peters, Ulrike and Dupuis, Jos{\'e}e and Hou, Lifang and Fornage, Myriam and Benjamin, Emelia J and Reiner, Alexander P and Bowler, Russell P and Lin, Xihong and Auer, Paul L and Raffield, Laura M} } @article {9899, title = {A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {Nat Comput Sci}, volume = {5}, year = {2025}, month = {2025 Feb}, pages = {125-143}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits in 61,838 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered and replicated new associations with lipid traits missed by single-trait analysis.

}, keywords = {Genetic Variation, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Whole Genome Sequencing}, issn = {2662-8457}, doi = {10.1038/s43588-024-00764-8}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Jiang, Min-Zhi and DiCorpo, Daniel and Gaynor, Sheila M and Dey, Rounak and Arnett, Donna K and Benjamin, Emelia J and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika N and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Li, Yun and Lin, Honghuang and Liu, Ching-Ti and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Naseri, Take and North, Kari E and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant K and Vasan, Ramachandran S and Viali, Satupa{\textquoteright}itea and Wang, Zhe and Wessel, Jennifer and Yanek, Lisa R and Yu, Bing and Dupuis, Jos{\'e}e and Meigs, James B and Auer, Paul L and Raffield, Laura M and Manning, Alisa K and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} }