%0 Journal Article %J J Clin Endocrinol Metab %D 2007 %T Determinants of serum total and free testosterone levels in women over the age of 65 years. %A Cappola, Anne R %A Ratcliffe, Sarah J %A Bhasin, Shalender %A Blackman, Marc R %A Cauley, Jane %A Robbins, John %A Zmuda, Joseph M %A Harris, Tamara %A Fried, Linda P %K Age Distribution %K Aged %K Aged, 80 and over %K Aging %K Body Mass Index %K Cross-Sectional Studies %K Estrogen Replacement Therapy %K Female %K Humans %K Hypogonadism %K Multivariate Analysis %K Nonlinear Dynamics %K Obesity %K Ovariectomy %K Ovary %K Postmenopause %K Predictive Value of Tests %K Prevalence %K Risk Factors %K Testosterone %X

CONTEXT: Little is known about testosterone (T) levels and their determinants in women of late postmenopausal age.

OBJECTIVE: We describe levels of total and free T and selected factors that influence these levels in a random sample of older women.

DESIGN: Levels of serum total T and free T by microdialysis were measured using ultrasensitive assays in 347 community-dwelling women aged 65-98 yr enrolled in the Cardiovascular Health Study. Cross-sectional analyses were performed to define factors associated with total and free T levels.

RESULTS: In adjusted models: 1) total T levels declined with age until 80, whereas free T levels did not vary by age; 2) women with bilateral oophorectomy had 23% lower total T and 16% lower free T levels than those with at least one intact ovary; 3) oral estrogen users had total and free T levels that were 47% lower than never users; 4) obese women had 47% higher total T and 20% higher free T levels, and overweight women had 24% higher total T and 14% higher free T levels, than normal weight women; and 5) free T levels were 51% higher in black women. Corticosteroid users had 75% lower total T and 43% lower free T levels than nonusers.

CONCLUSIONS: Bilateral oophorectomy, estrogen use, corticosteroid use, and low body mass index are independent risk factors for lower T levels in women aged 65 yr and over. Although highly prevalent in women of this age, the physiological significance of low T levels in late postmenopausal women requires further investigation.

%B J Clin Endocrinol Metab %V 92 %P 509-16 %8 2007 Feb %G eng %N 2 %1 https://www.ncbi.nlm.nih.gov/pubmed/17090636?dopt=Abstract %R 10.1210/jc.2006-1399 %0 Journal Article %J Aging (Albany NY) %D 2011 %T Health and function of participants in the Long Life Family Study: A comparison with other cohorts. %A Newman, Anne B %A Glynn, Nancy W %A Taylor, Christopher A %A Sebastiani, Paola %A Perls, Thomas T %A Mayeux, Richard %A Christensen, Kaare %A Zmuda, Joseph M %A Barral, Sandra %A Lee, Joseph H %A Simonsick, Eleanor M %A Walston, Jeremy D %A Yashin, Anatoli I %A Hadley, Evan %K Aged %K Aged, 80 and over %K Aging %K Blood Pressure %K Cardiovascular Diseases %K Cohort Studies %K Female %K Gait %K Humans %K Longevity %K Male %K Middle Aged %K Psychomotor Performance %K Research Design %X

Individuals from families recruited for the Long Life Family Study (LLFS) (n= 4559) were examined and compared to individuals from other cohorts to determine whether the recruitment targeting longevity resulted in a cohort of individuals with better health and function. Other cohorts with similar data included the Cardiovascular Health Study, the Framingham Heart Study, and the New England Centenarian Study. Diabetes, chronic pulmonary disease and peripheral artery disease tended to be less common in LLFS probands and offspring compared to similar aged persons in the other cohorts. Pulse pressure and triglycerides were lower, high density lipids were higher, and a perceptual speed task and gait speed were better in LLFS. Age-specific comparisons showed differences that would be consistent with a higher peak, later onset of decline or slower rate of change across age in LLFS participants. These findings suggest several priority phenotypes for inclusion in future genetic analysis to identify loci contributing to exceptional survival.

%B Aging (Albany NY) %V 3 %P 63-76 %8 2011 Jan %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/21258136?dopt=Abstract %R 10.18632/aging.100242 %0 Journal Article %J J Clin Endocrinol Metab %D 2011 %T Higher serum free testosterone concentration in older women is associated with greater bone mineral density, lean body mass, and total fat mass: the cardiovascular health study. %A Rariy, Chevon M %A Ratcliffe, Sarah J %A Weinstein, Rachel %A Bhasin, Shalender %A Blackman, Marc R %A Cauley, Jane A %A Robbins, John %A Zmuda, Joseph M %A Harris, Tamara B %A Cappola, Anne R %K Adipose Tissue %K Aged %K Aged, 80 and over %K Body Mass Index %K Bone Density %K Cardiovascular Physiological Phenomena %K Cohort Studies %K Female %K Health %K Humans %K Organ Size %K Osmolar Concentration %K Osteoporosis, Postmenopausal %K Testosterone %K Thinness %K Up-Regulation %X

CONTEXT: The physiological importance of endogenous testosterone (T) in older women is poorly understood.

OBJECTIVE: The aim of the study was to determine the association of higher total and free T levels with bone mineral density (BMD), lean body mass, and fat mass in elderly women.

DESIGN: Total and free T were measured using sensitive assays in 232 community-dwelling women aged 67-94 yr who were enrolled in the Cardiovascular Health Study and had dual-energy x-ray absorptiometry scans. Cross-sectional analyses were performed to examine associations between total and free T and BMD and body composition.

RESULTS: In adjusted models, total T was directly associated with BMD at the lumbar spine (P = 0.04) and hip (P = 0.001), but not body composition outcomes, in all women, and after excluding estrogen users and adjusting for estradiol (P = 0.04 and 0.01, respectively). Free T was positively related to hip BMD, lean body mass, and body fat (all P < 0.05), with more than 10% differences in each outcome between women at the highest and lowest ends of the free T range, with attenuation after excluding estrogen users and adjusting for estradiol.

CONCLUSIONS: In the setting of the low estradiol levels found in older women, circulating T levels were associated with bone density. Women with higher free T levels had greater lean body mass, consistent with the anabolic effect of T, and, in contrast to men, greater fat mass. Mechanistic studies are required to determine whether a causal relationship exists between T, bone, and body composition in this population and the degree to which any T effects are estrogen-independent.

%B J Clin Endocrinol Metab %V 96 %P 989-96 %8 2011 Apr %G eng %N 4 %1 http://www.ncbi.nlm.nih.gov/pubmed/21289255?dopt=Abstract %R 10.1210/jc.2010-0926 %0 Journal Article %J Nat Genet %D 2013 %T A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry. %A Monda, Keri L %A Chen, Gary K %A Taylor, Kira C %A Palmer, Cameron %A Edwards, Todd L %A Lange, Leslie A %A Ng, Maggie C Y %A Adeyemo, Adebowale A %A Allison, Matthew A %A Bielak, Lawrence F %A Chen, Guanjie %A Graff, Mariaelisa %A Irvin, Marguerite R %A Rhie, Suhn K %A Li, Guo %A Liu, Yongmei %A Liu, Youfang %A Lu, Yingchang %A Nalls, Michael A %A Sun, Yan V %A Wojczynski, Mary K %A Yanek, Lisa R %A Aldrich, Melinda C %A Ademola, Adeyinka %A Amos, Christopher I %A Bandera, Elisa V %A Bock, Cathryn H %A Britton, Angela %A Broeckel, Ulrich %A Cai, Quiyin %A Caporaso, Neil E %A Carlson, Chris S %A Carpten, John %A Casey, Graham %A Chen, Wei-Min %A Chen, Fang %A Chen, Yii-der I %A Chiang, Charleston W K %A Coetzee, Gerhard A %A Demerath, Ellen %A Deming-Halverson, Sandra L %A Driver, Ryan W %A Dubbert, Patricia %A Feitosa, Mary F %A Feng, Ye %A Freedman, Barry I %A Gillanders, Elizabeth M %A Gottesman, Omri %A Guo, Xiuqing %A Haritunians, Talin %A Harris, Tamara %A Harris, Curtis C %A Hennis, Anselm J M %A Hernandez, Dena G %A McNeill, Lorna H %A Howard, Timothy D %A Howard, Barbara V %A Howard, Virginia J %A Johnson, Karen C %A Kang, Sun J %A Keating, Brendan J %A Kolb, Suzanne %A Kuller, Lewis H %A Kutlar, Abdullah %A Langefeld, Carl D %A Lettre, Guillaume %A Lohman, Kurt %A Lotay, Vaneet %A Lyon, Helen %A Manson, JoAnn E %A Maixner, William %A Meng, Yan A %A Monroe, Kristine R %A Morhason-Bello, Imran %A Murphy, Adam B %A Mychaleckyj, Josyf C %A Nadukuru, Rajiv %A Nathanson, Katherine L %A Nayak, Uma %A N'diaye, Amidou %A Nemesure, Barbara %A Wu, Suh-Yuh %A Leske, M Cristina %A Neslund-Dudas, Christine %A Neuhouser, Marian %A Nyante, Sarah %A Ochs-Balcom, Heather %A Ogunniyi, Adesola %A Ogundiran, Temidayo O %A Ojengbede, Oladosu %A Olopade, Olufunmilayo I %A Palmer, Julie R %A Ruiz-Narvaez, Edward A %A Palmer, Nicholette D %A Press, Michael F %A Rampersaud, Evandine %A Rasmussen-Torvik, Laura J %A Rodriguez-Gil, Jorge L %A Salako, Babatunde %A Schadt, Eric E %A Schwartz, Ann G %A Shriner, Daniel A %A Siscovick, David %A Smith, Shad B %A Wassertheil-Smoller, Sylvia %A Speliotes, Elizabeth K %A Spitz, Margaret R %A Sucheston, Lara %A Taylor, Herman %A Tayo, Bamidele O %A Tucker, Margaret A %A Van Den Berg, David J %A Edwards, Digna R Velez %A Wang, Zhaoming %A Wiencke, John K %A Winkler, Thomas W %A Witte, John S %A Wrensch, Margaret %A Wu, Xifeng %A Yang, James J %A Levin, Albert M %A Young, Taylor R %A Zakai, Neil A %A Cushman, Mary %A Zanetti, Krista A %A Zhao, Jing Hua %A Zhao, Wei %A Zheng, Yonglan %A Zhou, Jie %A Ziegler, Regina G %A Zmuda, Joseph M %A Fernandes, Jyotika K %A Gilkeson, Gary S %A Kamen, Diane L %A Hunt, Kelly J %A Spruill, Ida J %A Ambrosone, Christine B %A Ambs, Stefan %A Arnett, Donna K %A Atwood, Larry %A Becker, Diane M %A Berndt, Sonja I %A Bernstein, Leslie %A Blot, William J %A Borecki, Ingrid B %A Bottinger, Erwin P %A Bowden, Donald W %A Burke, Gregory %A Chanock, Stephen J %A Cooper, Richard S %A Ding, Jingzhong %A Duggan, David %A Evans, Michele K %A Fox, Caroline %A Garvey, W Timothy %A Bradfield, Jonathan P %A Hakonarson, Hakon %A Grant, Struan F A %A Hsing, Ann %A Chu, Lisa %A Hu, Jennifer J %A Huo, Dezheng %A Ingles, Sue A %A John, Esther M %A Jordan, Joanne M %A Kabagambe, Edmond K %A Kardia, Sharon L R %A Kittles, Rick A %A Goodman, Phyllis J %A Klein, Eric A %A Kolonel, Laurence N %A Le Marchand, Loïc %A Liu, Simin %A McKnight, Barbara %A Millikan, Robert C %A Mosley, Thomas H %A Padhukasahasram, Badri %A Williams, L Keoki %A Patel, Sanjay R %A Peters, Ulrike %A Pettaway, Curtis A %A Peyser, Patricia A %A Psaty, Bruce M %A Redline, Susan %A Rotimi, Charles N %A Rybicki, Benjamin A %A Sale, Michèle M %A Schreiner, Pamela J %A Signorello, Lisa B %A Singleton, Andrew B %A Stanford, Janet L %A Strom, Sara S %A Thun, Michael J %A Vitolins, Mara %A Zheng, Wei %A Moore, Jason H %A Williams, Scott M %A Ketkar, Shamika %A Zhu, Xiaofeng %A Zonderman, Alan B %A Kooperberg, Charles %A Papanicolaou, George J %A Henderson, Brian E %A Reiner, Alex P %A Hirschhorn, Joel N %A Loos, Ruth J F %A North, Kari E %A Haiman, Christopher A %K African Americans %K Body Mass Index %K Case-Control Studies %K Gene Frequency %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Linkage Disequilibrium %K Obesity %K Polymorphism, Single Nucleotide %X

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

%B Nat Genet %V 45 %P 690-6 %8 2013 Jun %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/23583978?dopt=Abstract %R 10.1038/ng.2608 %0 Journal Article %J J Am Soc Nephrol %D 2016 %T Genetic Variants Associated with Circulating Parathyroid Hormone. %A Robinson-Cohen, Cassianne %A Lutsey, Pamela L %A Kleber, Marcus E %A Nielson, Carrie M %A Mitchell, Braxton D %A Bis, Joshua C %A Eny, Karen M %A Portas, Laura %A Eriksson, Joel %A Lorentzon, Mattias %A Koller, Daniel L %A Milaneschi, Yuri %A Teumer, Alexander %A Pilz, Stefan %A Nethander, Maria %A Selvin, Elizabeth %A Tang, Weihong %A Weng, Lu-Chen %A Wong, Hoi Suen %A Lai, Dongbing %A Peacock, Munro %A Hannemann, Anke %A Völker, Uwe %A Homuth, Georg %A Nauk, Matthias %A Murgia, Federico %A Pattee, Jack W %A Orwoll, Eric %A Zmuda, Joseph M %A Riancho, Jose Antonio %A Wolf, Myles %A Williams, Frances %A Penninx, Brenda %A Econs, Michael J %A Ryan, Kathleen A %A Ohlsson, Claes %A Paterson, Andrew D %A Psaty, Bruce M %A Siscovick, David S %A Rotter, Jerome I %A Pirastu, Mario %A Streeten, Elizabeth %A März, Winfried %A Fox, Caroline %A Coresh, Josef %A Wallaschofski, Henri %A Pankow, James S %A de Boer, Ian H %A Kestenbaum, Bryan %X

Parathyroid hormone (PTH) is a primary calcium regulatory hormone. Elevated serum PTH concentrations in primary and secondary hyperparathyroidism have been associated with bone disease, hypertension, and in some studies, cardiovascular mortality. Genetic causes of variation in circulating PTH concentrations are incompletely understood. We performed a genome-wide association study of serum PTH concentrations among 29,155 participants of European ancestry from 13 cohort studies (n=22,653 and n=6502 in discovery and replication analyses, respectively). We evaluated the association of single nucleotide polymorphisms (SNPs) with natural log-transformed PTH concentration adjusted for age, sex, season, study site, and principal components of ancestry. We discovered associations of SNPs from five independent regions with serum PTH concentration, including the strongest association with rs6127099 upstream of CYP24A1 (P=4.2 × 10(-53)), a gene that encodes the primary catabolic enzyme for 1,25-dihydroxyvitamin D and 25-dihydroxyvitamin D. Each additional copy of the minor allele at this SNP associated with 7% higher serum PTH concentration. The other SNPs associated with serum PTH concentration included rs4074995 within RGS14 (P=6.6 × 10(-17)), rs219779 adjacent to CLDN14 (P=3.5 × 10(-16)), rs4443100 near RTDR1 (P=8.7 × 10(-9)), and rs73186030 near CASR (P=4.8 × 10(-8)). Of these five SNPs, rs6127099, rs4074995, and rs219779 replicated. Thus, common genetic variants located near genes involved in vitamin D metabolism and calcium and renal phosphate transport associated with differences in circulating PTH concentrations. Future studies could identify the causal variants at these loci, and the clinical and functional relevance of these variants should be pursued.

%B J Am Soc Nephrol %8 2016 Dec 07 %G eng %R 10.1681/ASN.2016010069 %0 Journal Article %J Diabetes %D 2016 %T Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci. %A Walford, Geoffrey A %A Gustafsson, Stefan %A Rybin, Denis %A Stančáková, Alena %A Chen, Han %A Liu, Ching-Ti %A Hong, Jaeyoung %A Jensen, Richard A %A Rice, Ken %A Morris, Andrew P %A Mägi, Reedik %A Tönjes, Anke %A Prokopenko, Inga %A Kleber, Marcus E %A Delgado, Graciela %A Silbernagel, Günther %A Jackson, Anne U %A Appel, Emil V %A Grarup, Niels %A Lewis, Joshua P %A Montasser, May E %A Landenvall, Claes %A Staiger, Harald %A Luan, Jian'an %A Frayling, Timothy M %A Weedon, Michael N %A Xie, Weijia %A Morcillo, Sonsoles %A Martínez-Larrad, María Teresa %A Biggs, Mary L %A Chen, Yii-Der Ida %A Corbaton-Anchuelo, Arturo %A Færch, Kristine %A Gómez-Zumaquero, Juan Miguel %A Goodarzi, Mark O %A Kizer, Jorge R %A Koistinen, Heikki A %A Leong, Aaron %A Lind, Lars %A Lindgren, Cecilia %A Machicao, Fausto %A Manning, Alisa K %A Martín-Núñez, Gracia María %A Rojo-Martínez, Gemma %A Rotter, Jerome I %A Siscovick, David S %A Zmuda, Joseph M %A Zhang, Zhongyang %A Serrano-Ríos, Manuel %A Smith, Ulf %A Soriguer, Federico %A Hansen, Torben %A Jørgensen, Torben J %A Linnenberg, Allan %A Pedersen, Oluf %A Walker, Mark %A Langenberg, Claudia %A Scott, Robert A %A Wareham, Nicholas J %A Fritsche, Andreas %A Häring, Hans-Ulrich %A Stefan, Norbert %A Groop, Leif %A O'Connell, Jeff R %A Boehnke, Michael %A Bergman, Richard N %A Collins, Francis S %A Mohlke, Karen L %A Tuomilehto, Jaakko %A März, Winfried %A Kovacs, Peter %A Stumvoll, Michael %A Psaty, Bruce M %A Kuusisto, Johanna %A Laakso, Markku %A Meigs, James B %A Dupuis, Josée %A Ingelsson, Erik %A Florez, Jose C %X

Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 × 10(-11)), rs12454712 (BCL2; P = 2.7 × 10(-8)), and rs10506418 (FAM19A2; P = 1.9 × 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.

%B Diabetes %V 65 %P 3200-11 %8 2016 Oct %G eng %N 10 %1 http://www.ncbi.nlm.nih.gov/pubmed/27416945?dopt=Abstract %R 10.2337/db16-0199 %0 Journal Article %J Aging Cell %D 2016 %T GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. %A Matteini, Amy M %A Tanaka, Toshiko %A Karasik, David %A Atzmon, Gil %A Chou, Wen-Chi %A Eicher, John D %A Johnson, Andrew D %A Arnold, Alice M %A Callisaya, Michele L %A Davies, Gail %A Evans, Daniel S %A Holtfreter, Birte %A Lohman, Kurt %A Lunetta, Kathryn L %A Mangino, Massimo %A Smith, Albert V %A Smith, Jennifer A %A Teumer, Alexander %A Yu, Lei %A Arking, Dan E %A Buchman, Aron S %A Chibinik, Lori B %A De Jager, Philip L %A Evans, Denis A %A Faul, Jessica D %A Garcia, Melissa E %A Gillham-Nasenya, Irina %A Gudnason, Vilmundur %A Hofman, Albert %A Hsu, Yi-Hsiang %A Ittermann, Till %A Lahousse, Lies %A Liewald, David C %A Liu, Yongmei %A Lopez, Lorna %A Rivadeneira, Fernando %A Rotter, Jerome I %A Siggeirsdottir, Kristin %A Starr, John M %A Thomson, Russell %A Tranah, Gregory J %A Uitterlinden, André G %A Völker, Uwe %A Völzke, Henry %A Weir, David R %A Yaffe, Kristine %A Zhao, Wei %A Zhuang, Wei Vivian %A Zmuda, Joseph M %A Bennett, David A %A Cummings, Steven R %A Deary, Ian J %A Ferrucci, Luigi %A Harris, Tamara B %A Kardia, Sharon L R %A Kocher, Thomas %A Kritchevsky, Stephen B %A Psaty, Bruce M %A Seshadri, Sudha %A Spector, Timothy D %A Srikanth, Velandai K %A Windham, B Gwen %A Zillikens, M Carola %A Newman, Anne B %A Walston, Jeremy D %A Kiel, Douglas P %A Murabito, Joanne M %X

Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10(-8) ) and 39 suggestive (P-value< 5 × 10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.

%B Aging Cell %V 15 %P 792-800 %8 2016 Oct %G eng %N 5 %1 http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract %R 10.1111/acel.12468 %0 Journal Article %J Am J Hum Genet %D 2016 %T Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin. %A Liu, Ching-Ti %A Raghavan, Sridharan %A Maruthur, Nisa %A Kabagambe, Edmond Kato %A Hong, Jaeyoung %A Ng, Maggie C Y %A Hivert, Marie-France %A Lu, Yingchang %A An, Ping %A Bentley, Amy R %A Drolet, Anne M %A Gaulton, Kyle J %A Guo, Xiuqing %A Armstrong, Loren L %A Irvin, Marguerite R %A Li, Man %A Lipovich, Leonard %A Rybin, Denis V %A Taylor, Kent D %A Agyemang, Charles %A Palmer, Nicholette D %A Cade, Brian E %A Chen, Wei-Min %A Dauriz, Marco %A Delaney, Joseph A C %A Edwards, Todd L %A Evans, Daniel S %A Evans, Michele K %A Lange, Leslie A %A Leong, Aaron %A Liu, Jingmin %A Liu, Yongmei %A Nayak, Uma %A Patel, Sanjay R %A Porneala, Bianca C %A Rasmussen-Torvik, Laura J %A Snijder, Marieke B %A Stallings, Sarah C %A Tanaka, Toshiko %A Yanek, Lisa R %A Zhao, Wei %A Becker, Diane M %A Bielak, Lawrence F %A Biggs, Mary L %A Bottinger, Erwin P %A Bowden, Donald W %A Chen, Guanjie %A Correa, Adolfo %A Couper, David J %A Crawford, Dana C %A Cushman, Mary %A Eicher, John D %A Fornage, Myriam %A Franceschini, Nora %A Fu, Yi-Ping %A Goodarzi, Mark O %A Gottesman, Omri %A Hara, Kazuo %A Harris, Tamara B %A Jensen, Richard A %A Johnson, Andrew D %A Jhun, Min A %A Karter, Andrew J %A Keller, Margaux F %A Kho, Abel N %A Kizer, Jorge R %A Krauss, Ronald M %A Langefeld, Carl D %A Li, Xiaohui %A Liang, Jingling %A Liu, Simin %A Lowe, William L %A Mosley, Thomas H %A North, Kari E %A Pacheco, Jennifer A %A Peyser, Patricia A %A Patrick, Alan L %A Rice, Kenneth M %A Selvin, Elizabeth %A Sims, Mario %A Smith, Jennifer A %A Tajuddin, Salman M %A Vaidya, Dhananjay %A Wren, Mary P %A Yao, Jie %A Zhu, Xiaofeng %A Ziegler, Julie T %A Zmuda, Joseph M %A Zonderman, Alan B %A Zwinderman, Aeilko H %A Adeyemo, Adebowale %A Boerwinkle, Eric %A Ferrucci, Luigi %A Hayes, M Geoffrey %A Kardia, Sharon L R %A Miljkovic, Iva %A Pankow, James S %A Rotimi, Charles N %A Sale, Michèle M %A Wagenknecht, Lynne E %A Arnett, Donna K %A Chen, Yii-Der Ida %A Nalls, Michael A %A Province, Michael A %A Kao, W H Linda %A Siscovick, David S %A Psaty, Bruce M %A Wilson, James G %A Loos, Ruth J F %A Dupuis, Josée %A Rich, Stephen S %A Florez, Jose C %A Rotter, Jerome I %A Morris, Andrew P %A Meigs, James B %X

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

%B Am J Hum Genet %V 99 %P 56-75 %8 2016 Jul 7 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/27321945?dopt=Abstract %R 10.1016/j.ajhg.2016.05.006 %0 Journal Article %J Hum Mol Genet %D 2017 %T Detection of genetic loci associated with plasma fetuin-A: A meta-analysis of genome-wide association studies from the CHARGE Consortium. %A Jensen, Majken K %A Jensen, Richard A %A Mukamal, Kenneth J %A Guo, Xiuqing %A Yao, Jie %A Sun, Qi %A Cornelis, Marilyn %A Liu, Yongmei %A Chen, Ming-Huei %A Kizer, Jorge R %A Djoussé, Luc %A Siscovick, David S %A Psaty, Bruce M %A Zmuda, Joseph M %A Rotter, Jerome I %A Garcia, Melissa %A Harris, Tamara %A Chen, Ida %A Goodarzi, Mark O %A Nalls, Michael A %A Keller, Margaux %A Arnold, Alice M %A Newman, Anne %A Hoogeeven, Ron C %A Rexrode, Kathryn M %A Rimm, Eric B %A Hu, Frank B %A Vasan, Ramachandran S %A Katz, Ronit %A Pankow, James S %A Ix, Joachim H %X

Plasma fetuin-A is associated with type 2 diabetes, and AHSG, the gene encoding fetuin-A, has been identified as a susceptibility locus for diabetes and metabolic syndrome. Thus far, unbiased investigations of the genetic determinants of plasma fetuin-A concentrations have not been conducted. We searched for single nucleotide polymorphisms (SNPs) related to fetuin-A concentrations by a genome-wide association study in six population-based studies.We examined the association of fetuin-A levels with ∼ 2.5 million genotyped and imputed SNPs in 9,055 participants of European descent and 2,119 African Americans. In both ethnicities, strongest associations were centered in a region with a high degree of LD near the AHSG locus. Among 136 genome-wide significant (p < 0.05x10-8) SNPs near the AHSG locus, the top SNP was rs4917 (p = 1.27x10-303), a known coding SNP in exon 6 that is associated with a 0.06 g/L (∼13%) lower fetuin-A level. This variant alone explained 14% of the variation in fetuin-A levels. Analyses conditioned on rs4917 indicated that the strong association with the AHSG locus stems from additional independent associations of multiple variants among European Americans. In conclusion, levels of fetuin-A in plasma are strongly associated with SNPs in its encoding gene, AHSG, but not elsewhere in the genome. Given the strength of the associations observed for multiple independent SNPs, the AHSG gene is an example of a candidate locus suitable for additional investigations including fine mapping to elucidate the biological basis of the findings and further functional experiments to clarify AHSG as a potential therapeutic target.

%B Hum Mol Genet %8 2017 Apr 03 %G eng %R 10.1093/hmg/ddx091 %0 Journal Article %J J Gerontol A Biol Sci Med Sci %D 2020 %T Metabolites Associated with Walking Ability Among the Oldest Old from the CHS All Stars Study. %A Marron, Megan M %A Wendell, Stacy G %A Boudreau, Robert M %A Clish, Clary B %A Santanasto, Adam J %A Tseng, George C %A Zmuda, Joseph M %A Newman, Anne B %K Aged %K Aged, 80 and over %K Case-Control Studies %K Female %K Geriatric Assessment %K Humans %K Male %K Metabolomics %K Risk Factors %K Walking %K Walking Speed %X

BACKGROUND: Low walking ability is highly prevalent with advancing age and predicts major health outcomes. Metabolomics may help to better characterize differences in walking ability among older adults, providing insight into potentially altered molecular processes underlying age-related decline in functioning. We sought to identify metabolites and metabolic pathways associated with high versus low walking ability among 120 participants ages 79-95 from the CHS All Stars study.

METHODS: Using a nested case-control design, 60 randomly selected participants with low walking ability were matched one-to-one on age, gender, race, and fasting time with 60 participants with high walking ability. High versus low walking ability was defined as being in the best versus worst tertiles for both gait speed (≥0.9 vs <0.7 m/s) and the Walking Ability Index (7-9 vs 0-1). Using liquid chromatography-mass spectrometry, 569 metabolites were identified in overnight-fasting plasma.

RESULTS: Ninety-six metabolites were associated with walking ability, where 24% were triacylglycerols. Triacylglycerols that were higher among those with high walking ability consisted mostly of polyunsaturated fatty acids, whereas triacylglycerols that were lower among those with high walking ability consisted mostly of saturated or monounsaturated fatty acids. Body composition partly explained associations between some metabolites and walking ability. Proline and arginine metabolism was a top pathway associated with walking ability.

CONCLUSION: These results may partly reflect pathways of modifiable risk factors, including excess dietary lipids and lack of physical activity, contributing to obesity and further alterations in metabolic pathways that lead to age-related decline in walking ability in this older adult cohort.

%B J Gerontol A Biol Sci Med Sci %V 75 %P 2371-2378 %8 2020 11 13 %G eng %N 12 %R 10.1093/gerona/glaa030