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Genetic Epidemiology, Ahead of Print. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - March 12, 2018 Category: Epidemiology Source Type: research
Interaction of a genetic risk score with physical activity, physical inactivity, and body mass index in relation to venous thromboembolism risk
Genetic Epidemiology, EarlyView. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - March 8, 2018 Category: Epidemiology Source Type: research
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Genetic Epidemiology, Ahead of Print. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - March 8, 2018 Category: Epidemiology Source Type: research
POLARIS: Polygenic LD ‐adjusted risk score approach for set‐based analysis of GWAS data
ABSTRACT
Polygenic risk scores (PRSs) are a method to summarize the additive trait variance captured by a set of SNPs, and can increase the power of set‐based analyses by leveraging public genome‐wide association study (GWAS) datasets. PRS aims to assess the genetic liability to some phenotype on the basis of polygenic risk for the same or different phenotype estimated from independent data. We propose the application of PRSs as a set‐based method with an additional component of adjustment for linkage disequilibrium (LD), with potential extension of the PRS approach to analyze biologically meaningful SNP sets. We cal...
Source: Genetic Epidemiology - March 1, 2018 Category: Epidemiology Authors: Emily Baker, Karl Michael Schmidt, Rebecca Sims, Michael C. O'Donovan, Julie Williams, Peter Holmans, Valentina Escott ‐Price, with the GERAD Consortium Tags: RESEARCH ARTICLE Source Type: research
Interaction of a genetic risk score with physical activity, physical inactivity, and body mass index in relation to venous thromboembolism risk
ConclusionWe found a synergetic effect between a genetic risk score and high BMI on the risk of VTE. Intervention efforts lowering BMI to decrease VTE risk may have particularly large beneficial effects among individuals with high genetic risk. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - March 1, 2018 Category: Epidemiology Authors: Jihye Kim, Peter Kraft, Kaitlin A. Hagan, Laura B. Harrington, Sara Lindstroem, Christopher Kabrhel Tags: RESEARCH ARTICLE Source Type: research
Powerful and robust cross ‐phenotype association test for case‐parent trios
Abstract
There has been increasing interest in identifying genes within the human genome that influence multiple diverse phenotypes. In the presence of pleiotropy, joint testing of these phenotypes is not only biologically meaningful but also statistically more powerful than univariate analysis of each separate phenotype accounting for multiple testing. Although many cross‐phenotype association tests exist, the majority of such methods assume samples composed of unrelated subjects and therefore are not applicable to family‐based designs, including the valuable case‐parent trio design. In this paper, we describe a rob...
Source: Genetic Epidemiology - February 20, 2018 Category: Epidemiology Authors: S. Taylor Fischer, Yunxuan Jiang, K. Alaine Broadaway, Karen N. Conneely, Michael P. Epstein Tags: RESEARCH ARTICLE Source Type: research
Powerful and robust cross ‐phenotype association test for case‐parent trios
Genetic Epidemiology, EarlyView. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 20, 2018 Category: Epidemiology Source Type: research
Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents
Genetic Epidemiology, EarlyView. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 20, 2018 Category: Epidemiology Source Type: research
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Genetic Epidemiology, Ahead of Print. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 20, 2018 Category: Epidemiology Source Type: research
Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents
We examined potential G × E interaction in the phenotypic expression of CMRFs using variance component models and likelihood‐based statistical inference. Significant G × SA interactions were identified for six CMRFs: BMI, WC, FI, HOMA‐IR, MSC, and HDL, and significant G × HPFS interactions were observed for four CMRFs: BMI, WC, FM, and HOMA‐IR. However, after correcting for multiple hypothesis testing, only WC × SAy, FM × SAy, and FI × SAu interactions became marginally significant. After correcting for multiple testing, most of CMRFs exhibited significant G × E interactions (Reduced G × E model vs. Constrain...
Source: Genetic Epidemiology - February 20, 2018 Category: Epidemiology Authors: Rector Arya, Vidya S. Farook, Sharon P. Fowler, Sobha Puppala, Geetha Chittoor, Roy G. Resendez, Srinivas Mummidi, Jairam Vanamala, Laura Almasy, Joanne E. Curran, Anthony G. Comuzzie, Donna M. Lehman, Christopher P. Jenkinson, Jane L. Lynch, Ralph A. DeF Tags: RESEARCH ARTICLE Source Type: research
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Genetic Epidemiology,Volume 42, Issue 2, Page 127-129, March 2018. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 13, 2018 Category: Epidemiology Source Type: research
Issue Information
(Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 13, 2018 Category: Epidemiology Tags: ISSUE INFORMATION Source Type: research
A meta ‐analysis approach with filtering for identifying gene‐level gene–environment interactions
Genetic Epidemiology, EarlyView. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 11, 2018 Category: Epidemiology Source Type: research
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Genetic Epidemiology, Ahead of Print. (Source: Genetic Epidemiology)
Source: Genetic Epidemiology - February 11, 2018 Category: Epidemiology Source Type: research
