Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic… Continue reading An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group
Keyword: Meta-analysis
Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits
Objective Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits. Methods We estimated single-nucleotide polymorphism (SNP)�based heritability and analyzed genetic correlation between depressive symptoms and T2D and… Continue reading Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits
Research Review: Neural response to threat in children, adolescents, and adults after child maltreatment – quantitative meta-analysis
Background: Child maltreatment is common and has long-term consequences for affective function. Investigations of neural consequences of maltreatment have focused on the amygdala. However, developmental neuroscience indicates that other brain regions are also likely to be affected by child maltreatment, particularly in the social information processing network (SIPN). We conducted a quantitative meta-analysis to: confirm… Continue reading Research Review: Neural response to threat in children, adolescents, and adults after child maltreatment – quantitative meta-analysis
Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity
Global species extinction rates are orders of magnitude above the background rate documented in the fossil record. However, recent data syntheses have found mixed evidence for patterns of net species loss at local spatial scales. For example, two recent data meta-analyses have found that species richness is decreasing in some locations and is increasing in… Continue reading Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity
GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium
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… Continue reading GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium