scholarly journals Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the multi-ethnic study of atherosclerosis

BMC Genetics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Erin B. Ware ◽  
Bhramar Mukherjee ◽  
Yan V. Sun ◽  
Ana V. Diez-Roux ◽  
Sharon L.R. Kardia ◽  
...  
Keyword(s):  
Depressive Symptom ◽  
Repeated Measures ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Comparative Genome ◽  
Ethnic Study ◽  
Genome Wide ◽  
Race Ethnicity ◽  
Symptom Phenotype

Abstract P260: Large-scale Meta-analysis of Diverse Ancestry Genome-wide Association Studies to Identify Pharmacogenomic Interactions of Sulfonylureas and ECG Phenotypes

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
James S Floyd ◽  
Colleen Sitlani ◽  
Christy L Avery ◽  
Eric A Whitsel ◽  
Leslie Lange ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Qt Interval ◽  
Association Studies ◽  
Meta Analysis ◽  
Small Sample ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Meta Analyses

Introduction: Sulfonylureas are a commonly-used class of diabetes medication that can prolong the QT-interval, which is a leading cause of drug withdrawals from the market given the possible risk of life-threatening arrhythmias. Previously, we conducted a meta-analysis of genome-wide association studies of sulfonylurea-genetic interactions on QT interval among 9 European-ancestry (EA) cohorts using cross-sectional data, with null results. To improve our power to identify novel drug-gene interactions, we have included repeated measures of medication use and QT interval and expanded our study to include several additional cohorts, including African-American (AA) and Hispanic-ancestry (HA) cohorts with a high prevalence of sulfonylurea use. To identify potentially differential effects on cardiac depolarization and repolarization, we have also added two phenotypes - the JT and QRS intervals, which together comprise the QT interval. Hypothesis: The use of repeated measures and expansion of our meta-analysis to include diverse ancestry populations will allow us to identify novel pharmacogenomic interactions for sulfonylureas on the ECG phenotypes QT, JT, and QRS. Methods: Cohorts with unrelated individuals used generalized estimating equations to estimate interactions; cohorts with related individuals used mixed effect models clustered on family. For each ECG phenotype (QT, JT, QRS), we conducted ancestry-specific (EA, AA, HA) inverse variance weighted meta-analyses using standard errors based on the t-distribution to correct for small sample inflation in the test statistic. Ancestry-specific summary estimates were combined using MANTRA, an analytic method that accounts for differences in local linkage disequilibrium between ethnic groups. Results: Our study included 65,997 participants from 21 cohorts, including 4,020 (6%) sulfonylurea users, a substantial increase from the 26,986 participants and 846 sulfonylureas users in the previous meta-analysis. Preliminary ancestry-specific meta-analyses have identified genome-wide significant associations (P < 5х10–8) for each ECG phenotype, and analyses with MANTRA are in progress. Conclusions: In the setting of the largest collection of pharmacogenomic studies to date, we used repeated measurements and leveraged diverse ancestry populations to identify new pharmacogenomic loci for ECG traits associated with cardiovascular risk.

scholarly journals Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies

2019 ◽  
Vol 105 (4) ◽  
pp. 763-772 ◽  
Author(s):  
Huaying Fang ◽  
Qin Hui ◽  
Julie Lynch ◽  
Jacqueline Honerlaw ◽  
Themistocles L. Assimes ◽  
...  
Keyword(s):  
Association Studies ◽  
Genetic Ancestry ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Race Ethnicity

scholarly journals Impact of repeated measures and sample selection on genome-wide association studies of fasting glucose

2010 ◽  
Vol 34 (7) ◽  
pp. 665-673 ◽  
Author(s):  
Laura J. Rasmussen-Torvik ◽  
Alvaro Alonso ◽  
Man Li ◽  
Wen Kao ◽  
Anna Köttgen ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Fasting Glucose ◽  
Association Studies ◽  
Sample Selection ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals Genome‐wide association studies for milk production traits in Valle del Belice sheep using repeated measures

2019 ◽  
Vol 50 (3) ◽  
pp. 311-314 ◽  
Author(s):  
A. M. Sutera ◽  
V. Riggio ◽  
S. Mastrangelo ◽  
R. Di Gerlando ◽  
M. T. Sardina ◽  
...  
Keyword(s):  
Milk Production ◽  
Repeated Measures ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Production Traits ◽  
Milk Production Traits ◽  
Genome Wide

scholarly journals Increasing the power of genome wide association studies in natural populations using repeated measures – evaluation and implementation

2016 ◽  
Vol 7 (7) ◽  
pp. 792-799 ◽  
Author(s):  
Lars Rönnegård ◽  
S. Eryn McFarlane ◽  
Arild Husby ◽  
Takeshi Kawakami ◽  
Hans Ellegren ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Association Studies ◽  
Natural Populations ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals Comparative Genome-Wide Association Studies in Mice and Humans for Trimethylamine N -Oxide, a Proatherogenic Metabolite of Choline and l -Carnitine

2014 ◽  
Vol 34 (6) ◽  
pp. 1307-1313 ◽  
Author(s):  
Jaana Hartiala ◽  
Brian J. Bennett ◽  
W.H. Wilson Tang ◽  
Zeneng Wang ◽  
Alexandre F.R. Stewart ◽  
...  
Keyword(s):  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Comparative Genome ◽  
Genome Wide
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