@article {1206, title = {Common genetic variants associate with serum phosphorus concentration.}, journal = {J Am Soc Nephrol}, volume = {21}, year = {2010}, month = {2010 Jul}, pages = {1223-32}, abstract = {

Phosphorus is an essential mineral that maintains cellular energy and mineralizes the skeleton. Because complex actions of ion transporters and regulatory hormones regulate serum phosphorus concentrations, genetic variation may determine interindividual variation in phosphorus metabolism. Here, we report a comprehensive genome-wide association study of serum phosphorus concentration. We evaluated 16,264 participants of European ancestry from the Cardiovascular Heath Study, Atherosclerosis Risk in Communities Study, Framingham Offspring Study, and the Rotterdam Study. We excluded participants with an estimated GFR <45 ml/min per 1.73 m(2) to focus on phosphorus metabolism under normal conditions. We imputed genotypes to approximately 2.5 million single-nucleotide polymorphisms in the HapMap and combined study-specific findings using meta-analysis. We tested top polymorphisms from discovery cohorts in a 5444-person replication sample. Polymorphisms in seven loci with minor allele frequencies 0.08 to 0.49 associate with serum phosphorus concentration (P = 3.5 x 10(-16) to 3.6 x 10(-7)). Three loci were near genes encoding the kidney-specific type IIa sodium phosphate co-transporter (SLC34A1), the calcium-sensing receptor (CASR), and fibroblast growth factor 23 (FGF23), proteins that contribute to phosphorus metabolism. We also identified genes encoding phosphatases, kinases, and phosphodiesterases that have yet-undetermined roles in phosphorus homeostasis. In the replication sample, five of seven top polymorphisms associate with serum phosphorous concentrations (P < 0.05 for each). In conclusion, common genetic variants associate with serum phosphorus in the general population. Further study of the loci identified in this study may help elucidate mechanisms of phosphorus regulation.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Fibroblast Growth Factors, Gene Frequency, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Kidney, Male, Middle Aged, Phosphorus, Polymorphism, Single Nucleotide, Receptors, Calcium-Sensing, Sex Factors, Sodium-Phosphate Cotransporter Proteins, Type IIa}, issn = {1533-3450}, doi = {10.1681/ASN.2009111104}, author = {Kestenbaum, Bryan and Glazer, Nicole L and K{\"o}ttgen, Anna and Felix, Janine F and Hwang, Shih-Jen and Liu, Yongmei and Lohman, Kurt and Kritchevsky, Stephen B and Hausman, Dorothy B and Petersen, Ann-Kristin and Gieger, Christian and Ried, Janina S and Meitinger, Thomas and Strom, Tim M and Wichmann, H Erich and Campbell, Harry and Hayward, Caroline and Rudan, Igor and de Boer, Ian H and Psaty, Bruce M and Rice, Kenneth M and Chen, Yii-Der Ida and Li, Man and Arking, Dan E and Boerwinkle, Eric and Coresh, Josef and Yang, Qiong and Levy, Daniel and van Rooij, Frank J A and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and van Duijn, Cornelia M and Shlipak, Michael G and Kao, W H Linda and Witteman, Jacqueline C M and Siscovick, David S and Fox, Caroline S} } @article {1217, title = {Genome-wide association analysis identifies multiple loci related to resting heart rate.}, journal = {Hum Mol Genet}, volume = {19}, year = {2010}, month = {2010 Oct 01}, pages = {3885-94}, abstract = {

Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 {\texttimes} 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7\% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6\%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.

}, keywords = {Adult, Aged, Base Pairing, Cohort Studies, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Heart Rate, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Rest}, issn = {1460-2083}, doi = {10.1093/hmg/ddq303}, author = {Eijgelsheim, Mark and Newton-Cheh, Christopher and Sotoodehnia, Nona and de Bakker, Paul I W and M{\"u}ller, Martina and Morrison, Alanna C and Smith, Albert V and Isaacs, Aaron and Sanna, Serena and D{\"o}rr, Marcus and Navarro, Pau and Fuchsberger, Christian and Nolte, Ilja M and de Geus, Eco J C and Estrada, Karol and Hwang, Shih-Jen and Bis, Joshua C and R{\"u}ckert, Ina-Maria and Alonso, Alvaro and Launer, Lenore J and Hottenga, Jouke Jan and Rivadeneira, Fernando and Noseworthy, Peter A and Rice, Kenneth M and Perz, Siegfried and Arking, Dan E and Spector, Tim D and Kors, Jan A and Aulchenko, Yurii S and Tarasov, Kirill V and Homuth, Georg and Wild, Sarah H and Marroni, Fabio and Gieger, Christian and Licht, Carmilla M and Prineas, Ronald J and Hofman, Albert and Rotter, Jerome I and Hicks, Andrew A and Ernst, Florian and Najjar, Samer S and Wright, Alan F and Peters, Annette and Fox, Ervin R and Oostra, Ben A and Kroemer, Heyo K and Couper, David and V{\"o}lzke, Henry and Campbell, Harry and Meitinger, Thomas and Uda, Manuela and Witteman, Jacqueline C M and Psaty, Bruce M and Wichmann, H-Erich and Harris, Tamara B and K{\"a}{\"a}b, Stefan and Siscovick, David S and Jamshidi, Yalda and Uitterlinden, Andr{\'e} G and Folsom, Aaron R and Larson, Martin G and Wilson, James F and Penninx, Brenda W and Snieder, Harold and Pramstaller, Peter P and van Duijn, Cornelia M and Lakatta, Edward G and Felix, Stephan B and Gudnason, Vilmundur and Pfeufer, Arne and Heckbert, Susan R and Stricker, Bruno H Ch and Boerwinkle, Eric and O{\textquoteright}Donnell, Christopher J} } @article {1223, title = {Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels.}, journal = {PLoS Genet}, volume = {6}, year = {2010}, month = {2010 Aug 05}, abstract = {

Magnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p<5 x 10(-8)) or suggestive associations (p<4 x 10(-7)) were evaluated for replication in an additional 8,463 subjects of European descent. The association of common variants at six genomic regions (in or near MUC1, ATP2B1, DCDC5, TRPM6, SHROOM3, and MDS1) with serum magnesium levels was genome-wide significant when meta-analyzed with the replication dataset. All initially significant SNPs from the CHARGE Consortium showed nominal association with clinically defined hypomagnesemia, two showed association with kidney function, two with bone mineral density, and one of these also associated with fasting glucose levels. Common variants in CNNM2, a magnesium transporter studied only in model systems to date, as well as in CNNM3 and CNNM4, were also associated with magnesium concentrations in this study. We observed no associations with serum sodium or potassium levels exceeding p<4 x 10(-7). Follow-up studies of newly implicated genomic loci may provide additional insights into the regulation and homeostasis of human serum magnesium levels.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Magnesium, Male, Middle Aged, Polymorphism, Single Nucleotide, Potassium, Sodium}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001045}, author = {Meyer, Tamra E and Verwoert, Germaine C and Hwang, Shih-Jen and Glazer, Nicole L and Smith, Albert V and van Rooij, Frank J A and Ehret, Georg B and Boerwinkle, Eric and Felix, Janine F and Leak, Tennille S and Harris, Tamara B and Yang, Qiong and Dehghan, Abbas and Aspelund, Thor and Katz, Ronit and Homuth, Georg and Kocher, Thomas and Rettig, Rainer and Ried, Janina S and Gieger, Christian and Prucha, Hanna and Pfeufer, Arne and Meitinger, Thomas and Coresh, Josef and Hofman, Albert and Sarnak, Mark J and Chen, Yii-Der Ida and Uitterlinden, Andr{\'e} G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M and Kao, W H Linda and Witteman, Jacqueline C M and Gudnason, Vilmundur and Siscovick, David S and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1336, title = {Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Sep}, pages = {e1002292}, abstract = {

Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.

}, keywords = {Adaptor Proteins, Signal Transducing, Adult, Aged, Chronic Disease, Creatinine, European Continental Ancestry Group, Female, Follow-Up Studies, Genetic Association Studies, Humans, Kidney Diseases, Kidney Failure, Chronic, Male, Middle Aged, Polymorphism, Single Nucleotide, Receptor, Epidermal Growth Factor, Uromodulin}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002292}, author = {B{\"o}ger, Carsten A and Gorski, Mathias and Li, Man and Hoffmann, Michael M and Huang, Chunmei and Yang, Qiong and Teumer, Alexander and Krane, Vera and O{\textquoteright}Seaghdha, Conall M and Kutalik, Zolt{\'a}n and Wichmann, H-Erich and Haak, Thomas and Boes, Eva and Coassin, Stefan and Coresh, Josef and Kollerits, Barbara and Haun, Margot and Paulweber, Bernhard and K{\"o}ttgen, Anna and Li, Guo and Shlipak, Michael G and Powe, Neil and Hwang, Shih-Jen and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andre and Hofman, Albert and Beckmann, Jacques S and Kr{\"a}mer, Bernhard K and Witteman, Jacqueline and Bochud, Murielle and Siscovick, David and Rettig, Rainer and Kronenberg, Florian and Wanner, Christoph and Thadhani, Ravi I and Heid, Iris M and Fox, Caroline S and Kao, W H} } @article {1305, title = {Genome-wide association study for serum urate concentrations and gout among African Americans identifies genomic risk loci and a novel URAT1 loss-of-function allele.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Oct 15}, pages = {4056-68}, abstract = {

Serum urate concentrations are highly heritable and elevated serum urate is a key risk factor for gout. Genome-wide association studies (GWAS) of serum urate in African American (AA) populations are lacking. We conducted a meta-analysis of GWAS of serum urate levels and gout among 5820 AA and a large candidate gene study among 6890 AA and 21 708 participants of European ancestry (EA) within the Candidate Gene Association Resource Consortium. Findings were tested for replication among 1996 independent AA individuals, and evaluated for their association among 28 283 EA participants of the CHARGE Consortium. Functional studies were conducted using (14)C-urate transport assays in mammalian Chinese hamster ovary cells. In the discovery GWAS of serum urate, three loci achieved genome-wide significance (P< 5.0 {\texttimes} 10(-8)): a novel locus near SGK1/SLC2A12 on chromosome 6 (rs9321453, P= 1.0 {\texttimes} 10(-9)), and two loci previously identified in EA participants, SLC2A9 (P= 3.8 {\texttimes} 10(-32)) and SLC22A12 (P= 2.1 {\texttimes} 10(-10)). A novel rare non-synonymous variant of large effect size in SLC22A12, rs12800450 (minor allele frequency 0.01, G65W), was identified and replicated (beta -1.19 mg/dl, P= 2.7 {\texttimes} 10(-16)). (14)C-urate transport assays showed reduced urate transport for the G65W URAT1 mutant. Finally, in analyses of 11 loci previously associated with serum urate in EA individuals, 10 of 11 lead single-nucleotide polymorphisms showed direction-consistent association with urate among AA. In summary, we identified and replicated one novel locus in association with serum urate levels and experimentally characterize the novel G65W variant in URAT1 as a functional allele. Our data support the importance of multi-ethnic GWAS in the identification of novel risk loci as well as functional variants.

}, keywords = {Adult, African Americans, Aged, Animals, CHO Cells, Cricetinae, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Gout, Humans, Loss of Heterozygosity, Male, Middle Aged, Organic Anion Transporters, Organic Cation Transport Proteins, Polymorphism, Single Nucleotide, Uric Acid, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddr307}, author = {Tin, Adrienne and Woodward, Owen M and Kao, Wen Hong Linda and Liu, Ching-Ti and Lu, Xiaoning and Nalls, Michael A and Shriner, Daniel and Semmo, Mariam and Akylbekova, Ermeg L and Wyatt, Sharon B and Hwang, Shih-Jen and Yang, Qiong and Zonderman, Alan B and Adeyemo, Adebowale A and Palmer, Cameron and Meng, Yan and Reilly, Muredach and Shlipak, Michael G and Siscovick, David and Evans, Michele K and Rotimi, Charles N and Flessner, Michael F and K{\"o}ttgen, Michael and Cupples, L Adrienne and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1304, title = {Identification of a sudden cardiac death susceptibility locus at 2q24.2 through genome-wide association in European ancestry individuals.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002158}, abstract = {

Sudden cardiac death (SCD) continues to be one of the leading causes of mortality worldwide, with an annual incidence estimated at 250,000-300,000 in the United States and with the vast majority occurring in the setting of coronary disease. We performed a genome-wide association meta-analysis in 1,283 SCD cases and >20,000 control individuals of European ancestry from 5 studies, with follow-up genotyping in up to 3,119 SCD cases and 11,146 controls from 11 European ancestry studies, and identify the BAZ2B locus as associated with SCD (P = 1.8{\texttimes}10(-10)). The risk allele, while ancestral, has a frequency of ~1.4\%, suggesting strong negative selection and increases risk for SCD by 1.92-fold per allele (95\% CI 1.57-2.34). We also tested the role of 49 SNPs previously implicated in modulating electrocardiographic traits (QRS, QT, and RR intervals). Consistent with epidemiological studies showing increased risk of SCD with prolonged QRS/QT intervals, the interval-prolonging alleles are in aggregate associated with increased risk for SCD (P = 0.006).

}, keywords = {Adult, Aged, Alleles, Chromosomes, Human, Pair 2, Death, Sudden, Cardiac, European Continental Ancestry Group, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Contraction, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002158}, author = {Arking, Dan E and Junttila, M Juhani and Goyette, Philippe and Huertas-Vazquez, Adriana and Eijgelsheim, Mark and Blom, Marieke T and Newton-Cheh, Christopher and Reinier, Kyndaron and Teodorescu, Carmen and Uy-Evanado, Audrey and Carter-Monroe, Naima and Kaikkonen, Kari S and Kortelainen, Marja-Leena and Boucher, Gabrielle and Lagac{\'e}, Caroline and Moes, Anna and Zhao, XiaoQing and Kolodgie, Frank and Rivadeneira, Fernando and Hofman, Albert and Witteman, Jacqueline C M and Uitterlinden, Andr{\'e} G and Marsman, Roos F and Pazoki, Raha and Bardai, Abdennasser and Koster, Rudolph W and Dehghan, Abbas and Hwang, Shih-Jen and Bhatnagar, Pallav and Post, Wendy and Hilton, Gina and Prineas, Ronald J and Li, Man and K{\"o}ttgen, Anna and Ehret, Georg and Boerwinkle, Eric and Coresh, Josef and Kao, W H Linda and Psaty, Bruce M and Tomaselli, Gordon F and Sotoodehnia, Nona and Siscovick, David S and Burke, Greg L and Marb{\'a}n, Eduardo and Spooner, Peter M and Cupples, L Adrienne and Jui, Jonathan and Gunson, Karen and Kesaniemi, Y Antero and Wilde, Arthur A M and Tardif, Jean-Claude and O{\textquoteright}Donnell, Christopher J and Bezzina, Connie R and Virmani, Renu and Stricker, Bruno H C H and Tan, Hanno L and Albert, Christine M and Chakravarti, Aravinda and Rioux, John D and Huikuri, Heikki V and Chugh, Sumeet S} } @article {1359, title = {Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Feb 01}, pages = {100-12}, abstract = {

BACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

METHODS AND RESULTS: Continuous ABI and PAD (ABI <=0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60\% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46{\texttimes}10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65{\texttimes}10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6{\texttimes}10(-5)), CYBA (rs3794624, P=6.3{\texttimes}10(-5)), and rs1122608 (LDLR, P=0.0026).

CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Ankle Brachial Index, Chromosomes, Human, Pair 9, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, Female, Genome-Wide Association Study, Genotype, HapMap Project, Humans, Logistic Models, Male, Middle Aged, Peripheral Vascular Diseases, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Sex Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.961292}, author = {Murabito, Joanne M and White, Charles C and Kavousi, Maryam and Sun, Yan V and Feitosa, Mary F and Nambi, Vijay and Lamina, Claudia and Schillert, Arne and Coassin, Stefan and Bis, Joshua C and Broer, Linda and Crawford, Dana C and Franceschini, Nora and Frikke-Schmidt, Ruth and Haun, Margot and Holewijn, Suzanne and Huffman, Jennifer E and Hwang, Shih-Jen and Kiechl, Stefan and Kollerits, Barbara and Montasser, May E and Nolte, Ilja M and Rudock, Megan E and Senft, Andrea and Teumer, Alexander and van der Harst, Pim and Vitart, Veronique and Waite, Lindsay L and Wood, Andrew R and Wassel, Christina L and Absher, Devin M and Allison, Matthew A and Amin, Najaf and Arnold, Alice and Asselbergs, Folkert W and Aulchenko, Yurii and Bandinelli, Stefania and Barbalic, Maja and Boban, Mladen and Brown-Gentry, Kristin and Couper, David J and Criqui, Michael H and Dehghan, Abbas and den Heijer, Martin and Dieplinger, Benjamin and Ding, Jingzhong and D{\"o}rr, Marcus and Espinola-Klein, Christine and Felix, Stephan B and Ferrucci, Luigi and Folsom, Aaron R and Fraedrich, Gustav and Gibson, Quince and Goodloe, Robert and Gunjaca, Grgo and Haltmayer, Meinhard and Heiss, Gerardo and Hofman, Albert and Kieback, Arne and Kiemeney, Lambertus A and Kolcic, Ivana and Kullo, Iftikhar J and Kritchevsky, Stephen B and Lackner, Karl J and Li, Xiaohui and Lieb, Wolfgang and Lohman, Kurt and Meisinger, Christa and Melzer, David and Mohler, Emile R and Mudnic, Ivana and Mueller, Thomas and Navis, Gerjan and Oberhollenzer, Friedrich and Olin, Jeffrey W and O{\textquoteright}Connell, Jeff and O{\textquoteright}Donnell, Christopher J and Palmas, Walter and Penninx, Brenda W and Petersmann, Astrid and Polasek, Ozren and Psaty, Bruce M and Rantner, Barbara and Rice, Ken and Rivadeneira, Fernando and Rotter, Jerome I and Seldenrijk, Adrie and Stadler, Marietta and Summerer, Monika and Tanaka, Toshiko and Tybjaerg-Hansen, Anne and Uitterlinden, Andr{\'e} G and van Gilst, Wiek H and Vermeulen, Sita H and Wild, Sarah H and Wild, Philipp S and Willeit, Johann and Zeller, Tanja and Zemunik, Tatijana and Zgaga, Lina and Assimes, Themistocles L and Blankenberg, Stefan and Boerwinkle, Eric and Campbell, Harry and Cooke, John P and de Graaf, Jacqueline and Herrington, David and Kardia, Sharon L R and Mitchell, Braxton D and Murray, Anna and M{\"u}nzel, Thomas and Newman, Anne B and Oostra, Ben A and Rudan, Igor and Shuldiner, Alan R and Snieder, Harold and van Duijn, Cornelia M and V{\"o}lker, Uwe and Wright, Alan F and Wichmann, H-Erich and Wilson, James F and Witteman, Jacqueline C M and Liu, Yongmei and Hayward, Caroline and Borecki, Ingrid B and Ziegler, Andreas and North, Kari E and Cupples, L Adrienne and Kronenberg, Florian} } @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 {1377, title = {Genome-wide association and functional follow-up reveals new loci for kidney function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1002584}, abstract = {

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

}, keywords = {African Americans, Aged, Animals, Caspase 9, Cyclin-Dependent Kinases, DEAD-box RNA Helicases, DNA Helicases, European Continental Ancestry Group, Female, Follow-Up Studies, Gene Knockdown Techniques, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Kidney, Kidney Failure, Chronic, Male, Middle Aged, Phosphoric Diester Hydrolases, Zebrafish}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002584}, author = {Pattaro, Cristian and K{\"o}ttgen, Anna and Teumer, Alexander and Garnaas, Maija and B{\"o}ger, Carsten A and Fuchsberger, Christian and Olden, Matthias and Chen, Ming-Huei and Tin, Adrienne and Taliun, Daniel and Li, Man and Gao, Xiaoyi and Gorski, Mathias and Yang, Qiong and Hundertmark, Claudia and Foster, Meredith C and O{\textquoteright}Seaghdha, Conall M and Glazer, Nicole and Isaacs, Aaron and Liu, Ching-Ti and Smith, Albert V and O{\textquoteright}Connell, Jeffrey R and Struchalin, Maksim and Tanaka, Toshiko and Li, Guo and Johnson, Andrew D and Gierman, Hinco J and Feitosa, Mary and Hwang, Shih-Jen and Atkinson, Elizabeth J and Lohman, Kurt and Cornelis, Marilyn C and Johansson, Asa and T{\"o}njes, Anke and Dehghan, Abbas and Chouraki, Vincent and Holliday, Elizabeth G and Sorice, Rossella and Kutalik, Zolt{\'a}n and Lehtim{\"a}ki, Terho and Esko, T{\~o}nu and Deshmukh, Harshal and Ulivi, Sheila and Chu, Audrey Y and Murgia, Federico and Trompet, Stella and Imboden, Medea and Kollerits, Barbara and Pistis, Giorgio and Harris, Tamara B and Launer, Lenore J and Aspelund, Thor and Eiriksdottir, Gudny and Mitchell, Braxton D and Boerwinkle, Eric and Schmidt, Helena and Cavalieri, Margherita and Rao, Madhumathi and Hu, Frank B and Demirkan, Ayse and Oostra, Ben A and de Andrade, Mariza and Turner, Stephen T and Ding, Jingzhong and Andrews, Jeanette S and Freedman, Barry I and Koenig, Wolfgang and Illig, Thomas and D{\"o}ring, Angela and Wichmann, H-Erich and Kolcic, Ivana and Zemunik, Tatijana and Boban, Mladen and Minelli, Cosetta and Wheeler, Heather E and Igl, Wilmar and Zaboli, Ghazal and Wild, Sarah H and Wright, Alan F and Campbell, Harry and Ellinghaus, David and N{\"o}thlings, Ute and Jacobs, Gunnar and Biffar, Reiner and Endlich, Karlhans and Ernst, Florian and Homuth, Georg and Kroemer, Heyo K and Nauck, Matthias and Stracke, Sylvia and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Kovacs, Peter and Stumvoll, Michael and M{\"a}gi, Reedik and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Aulchenko, Yurii S and Polasek, Ozren and Hastie, Nick and Vitart, Veronique and Helmer, Catherine and Wang, Jie Jin and Ruggiero, Daniela and Bergmann, Sven and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Nikopensius, Tiit and Province, Michael and Ketkar, Shamika and Colhoun, Helen and Doney, Alex and Robino, Antonietta and Giulianini, Franco and Kr{\"a}mer, Bernhard K and Portas, Laura and Ford, Ian and Buckley, Brendan M and Adam, Martin and Thun, Gian-Andri and Paulweber, Bernhard and Haun, Margot and Sala, Cinzia and Metzger, Marie and Mitchell, Paul and Ciullo, Marina and Kim, Stuart K and Vollenweider, Peter and Raitakari, Olli and Metspalu, Andres and Palmer, Colin and Gasparini, Paolo and Pirastu, Mario and Jukema, J Wouter and Probst-Hensch, Nicole M and Kronenberg, Florian and Toniolo, Daniela and Gudnason, Vilmundur and Shuldiner, Alan R and Coresh, Josef and Schmidt, Reinhold and Ferrucci, Luigi and Siscovick, David S and van Duijn, Cornelia M and Borecki, Ingrid and Kardia, Sharon L R and Liu, Yongmei and Curhan, Gary C and Rudan, Igor and Gyllensten, Ulf and Wilson, James F and Franke, Andre and Pramstaller, Peter P and Rettig, Rainer and Prokopenko, Inga and Witteman, Jacqueline C M and Hayward, Caroline and Ridker, Paul and Parsa, Afshin and Bochud, Murielle and Heid, Iris M and Goessling, Wolfram and Chasman, Daniel I and Kao, W H Linda and Fox, Caroline S} } @article {6599, title = {Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.}, journal = {Am J Hum Genet}, volume = {95}, year = {2014}, month = {2014 Jul 03}, pages = {24-38}, abstract = {

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p <= 5 {\texttimes} 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 {\texttimes} 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

}, keywords = {Adolescent, Adult, Age Factors, Aged, Blood Pressure, Cohort Studies, Humans, Middle Aged, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.05.010}, author = {Simino, Jeannette and Shi, Gang and Bis, Joshua C and Chasman, Daniel I and Ehret, Georg B and Gu, Xiangjun and Guo, Xiuqing and Hwang, Shih-Jen and Sijbrands, Eric and Smith, Albert V and Verwoert, Germaine C and Bragg-Gresham, Jennifer L and Cadby, Gemma and Chen, Peng and Cheng, Ching-Yu and Corre, Tanguy and de Boer, Rudolf A and Goel, Anuj and Johnson, Toby and Khor, Chiea-Chuen and Llu{\'\i}s-Ganella, Carla and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Sim, Xueling and S{\~o}ber, Siim and van der Most, Peter J and Verweij, Niek and Zhao, Jing Hua and Amin, Najaf and Boerwinkle, Eric and Bouchard, Claude and Dehghan, Abbas and Eiriksdottir, Gudny and Elosua, Roberto and Franco, Oscar H and Gieger, Christian and Harris, Tamara B and Hercberg, Serge and Hofman, Albert and James, Alan L and Johnson, Andrew D and K{\"a}h{\"o}nen, Mika and Khaw, Kay-Tee and Kutalik, Zolt{\'a}n and Larson, Martin G and Launer, Lenore J and Li, Guo and Liu, Jianjun and Liu, Kiang and Morrison, Alanna C and Navis, Gerjan and Ong, Rick Twee-Hee and Papanicolau, George J and Penninx, Brenda W and Psaty, Bruce M and Raffel, Leslie J and Raitakari, Olli T and Rice, Kenneth and Rivadeneira, Fernando and Rose, Lynda M and Sanna, Serena and Scott, Robert A and Siscovick, David S and Stolk, Ronald P and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Klauw, Melanie M and Vasan, Ramachandran S and Vithana, Eranga Nishanthie and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Hugh and Young, Terri L and Aung, Tin and Bochud, Murielle and Farrall, Martin and Hartman, Catharina A and Laan, Maris and Lakatta, Edward G and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Lucas, Gavin and Meneton, Pierre and Palmer, Lyle J and Rettig, Rainer and Snieder, Harold and Tai, E Shyong and Teo, Yik-Ying and van der Harst, Pim and Wareham, Nicholas J and Wijmenga, Cisca and Wong, Tien Yin and Fornage, Myriam and Gudnason, Vilmundur and Levy, Daniel and Palmas, Walter and Ridker, Paul M and Rotter, Jerome I and van Duijn, Cornelia M and Witteman, Jacqueline C M and Chakravarti, Aravinda and Rao, Dabeeru C} } @article {7594, title = {Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.}, journal = {JAMA Oncol}, volume = {3}, year = {2017}, month = {2017 May 01}, pages = {636-651}, abstract = {

Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.

Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.

Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015.

Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.

Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.

Main Outcomes and Measures: Odds ratios (ORs) and 95\% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.

Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95\% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95\% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95\% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95\% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95\% CI, 0.05-0.15]).

Conclusions and Relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

}, keywords = {Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Telomere, Telomere Homeostasis}, issn = {2374-2445}, doi = {10.1001/jamaoncol.2016.5945}, author = {Haycock, Philip C and Burgess, Stephen and Nounu, Aayah and Zheng, Jie and Okoli, George N and Bowden, Jack and Wade, Kaitlin Hazel and Timpson, Nicholas J and Evans, David M and Willeit, Peter and Aviv, Abraham and Gaunt, Tom R and Hemani, Gibran and Mangino, Massimo and Ellis, Hayley Patricia and Kurian, Kathreena M and Pooley, Karen A and Eeles, Rosalind A and Lee, Jeffrey E and Fang, Shenying and Chen, Wei V and Law, Matthew H and Bowdler, Lisa M and Iles, Mark M and Yang, Qiong and Worrall, Bradford B and Markus, Hugh Stephen and Hung, Rayjean J and Amos, Chris I and Spurdle, Amanda B and Thompson, Deborah J and O{\textquoteright}Mara, Tracy A and Wolpin, Brian and Amundadottir, Laufey and Stolzenberg-Solomon, Rachael and Trichopoulou, Antonia and Onland-Moret, N Charlotte and Lund, Eiliv and Duell, Eric J and Canzian, Federico and Severi, Gianluca and Overvad, Kim and Gunter, Marc J and Tumino, Rosario and Svenson, Ulrika and van Rij, Andre and Baas, Annette F and Bown, Matthew J and Samani, Nilesh J and van t{\textquoteright}Hof, Femke N G and Tromp, Gerard and Jones, Gregory T and Kuivaniemi, Helena and Elmore, James R and Johansson, Mattias and Mckay, James and Scelo, Ghislaine and Carreras-Torres, Robert and Gaborieau, Valerie and Brennan, Paul and Bracci, Paige M and Neale, Rachel E and Olson, Sara H and Gallinger, Steven and Li, Donghui and Petersen, Gloria M and Risch, Harvey A and Klein, Alison P and Han, Jiali and Abnet, Christian C and Freedman, Neal D and Taylor, Philip R and Maris, John M and Aben, Katja K and Kiemeney, Lambertus A and Vermeulen, Sita H and Wiencke, John K and Walsh, Kyle M and Wrensch, Margaret and Rice, Terri and Turnbull, Clare and Litchfield, Kevin and Paternoster, Lavinia and Standl, Marie and Abecasis, Goncalo R and SanGiovanni, John Paul and Li, Yong and Mijatovic, Vladan and Sapkota, Yadav and Low, Siew-Kee and Zondervan, Krina T and Montgomery, Grant W and Nyholt, Dale R and van Heel, David A and Hunt, Karen and Arking, Dan E and Ashar, Foram N and Sotoodehnia, Nona and Woo, Daniel and Rosand, Jonathan and Comeau, Mary E and Brown, W Mark and Silverman, Edwin K and Hokanson, John E and Cho, Michael H and Hui, Jennie and Ferreira, Manuel A and Thompson, Philip J and Morrison, Alanna C and Felix, Janine F and Smith, Nicholas L and Christiano, Angela M and Petukhova, Lynn and Betz, Regina C and Fan, Xing and Zhang, Xuejun and Zhu, Caihong and Langefeld, Carl D and Thompson, Susan D and Wang, Feijie and Lin, Xu and Schwartz, David A and Fingerlin, Tasha and Rotter, Jerome I and Cotch, Mary Frances and Jensen, Richard A and Munz, Matthias and Dommisch, Henrik and Schaefer, Arne S and Han, Fang and Ollila, Hanna M and Hillary, Ryan P and Albagha, Omar and Ralston, Stuart H and Zeng, Chenjie and Zheng, Wei and Shu, Xiao-Ou and Reis, Andre and Uebe, Steffen and H{\"u}ffmeier, Ulrike and Kawamura, Yoshiya and Otowa, Takeshi and Sasaki, Tsukasa and Hibberd, Martin Lloyd and Davila, Sonia and Xie, Gang and Siminovitch, Katherine and Bei, Jin-Xin and Zeng, Yi-Xin and F{\"o}rsti, Asta and Chen, Bowang and Landi, Stefano and Franke, Andre and Fischer, Annegret and Ellinghaus, David and Flores, Carlos and Noth, Imre and Ma, Shwu-Fan and Foo, Jia Nee and Liu, Jianjun and Kim, Jong-Won and Cox, David G and Delattre, Olivier and Mirabeau, Olivier and Skibola, Christine F and Tang, Clara S and Garcia-Barcelo, Merce and Chang, Kai-Ping and Su, Wen-Hui and Chang, Yu-Sun and Martin, Nicholas G and Gordon, Scott and Wade, Tracey D and Lee, Chaeyoung and Kubo, Michiaki and Cha, Pei-Chieng and Nakamura, Yusuke and Levy, Daniel and Kimura, Masayuki and Hwang, Shih-Jen and Hunt, Steven and Spector, Tim and Soranzo, Nicole and Manichaikul, Ani W and Barr, R Graham and Kahali, Bratati and Speliotes, Elizabeth and Yerges-Armstrong, Laura M and Cheng, Ching-Yu and Jonas, Jost B and Wong, Tien Yin and Fogh, Isabella and Lin, Kuang and Powell, John F and Rice, Kenneth and Relton, Caroline L and Martin, Richard M and Davey Smith, George} } @article {9002, title = {Meta-analyses identify DNA methylation associated with kidney function and damage.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7174}, abstract = {

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.

}, keywords = {Adult, Aged, CpG Islands, DNA Methylation, Female, Glomerular Filtration Rate, Humans, Interferon Regulatory Factors, Kidney, Kidney Function Tests, LIM Domain Proteins, Male, Membrane Proteins, Middle Aged, Renal Insufficiency, Chronic, Transcription Factors}, issn = {2041-1723}, doi = {10.1038/s41467-021-27234-3}, author = {Schlosser, Pascal and Tin, Adrienne and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Weihs, Antoine and Yu, Zhi and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Chambers, John C and Cole, Shelley A and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and de Klein, Niek and Delgado, Graciela E and Domingo-Relloso, Arce and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Evans, Kathryn L and Floyd, James S and Fornage, Myriam and Franke, Lude and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kramer, Holly and Kronenberg, Florian and Kuhnel, Brigitte and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Liu, Yongmei and Lloyd-Jones, Donald M and Lohman, Kurt and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Navas-Acien, Ana and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Rosas, Sylvia E and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and Tellez-Plaza, Maria and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and Verweij, Niek and Walker, Rosie M and Wielscher, Matthias and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Levy, Daniel and Waldenberger, Melanie and Susztak, Katalin and K{\"o}ttgen, Anna and Teumer, Alexander} } @article {9637, title = {Development and Validation of the American Heart Association{\textquoteright}s PREVENT Equations.}, journal = {Circulation}, volume = {149}, year = {2024}, month = {2024 Feb 06}, pages = {430-449}, abstract = {

BACKGROUND: Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD.

METHODS: The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets.

RESULTS: Among 6 612 004 adults included, mean{\textpm}SD age was 53{\textpm}12 years, and 56\% were women. Over a mean{\textpm}SD follow-up of 4.8{\textpm}3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; =0.01).

CONCLUSIONS: PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.

}, keywords = {Adult, Aged, Albumins, American Heart Association, Atherosclerosis, Cardiovascular Diseases, Creatinine, Female, Glycated Hemoglobin, Heart Failure, Humans, Male, Middle Aged, Risk Assessment, Risk Factors}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.123.067626}, author = {Khan, Sadiya S and Matsushita, Kunihiro and Sang, Yingying and Ballew, Shoshana H and Grams, Morgan E and Surapaneni, Aditya and Blaha, Michael J and Carson, April P and Chang, Alexander R and Ciemins, Elizabeth and Go, Alan S and Gutierrez, Orlando M and Hwang, Shih-Jen and Jassal, Simerjot K and Kovesdy, Csaba P and Lloyd-Jones, Donald M and Shlipak, Michael G and Palaniappan, Latha P and Sperling, Laurence and Virani, Salim S and Tuttle, Katherine and Neeland, Ian J and Chow, Sheryl L and Rangaswami, Janani and Pencina, Michael J and Ndumele, Chiadi E and Coresh, Josef} }