Using genetic data to strengthen causal inference in observational research
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
Advantages and pitfalls in the application of mixed-model association methods
Mixed linear models are emerging as a method of choice for conducting genetic association
studies in humans and other organisms. The advantages of the mixed-linear-model …
studies in humans and other organisms. The advantages of the mixed-linear-model …
Efficient Bayesian mixed-model analysis increases association power in large cohorts
Linear mixed models are a powerful statistical tool for identifying genetic associations and
avoiding confounding. However, existing methods are computationally intractable in large …
avoiding confounding. However, existing methods are computationally intractable in large …
Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error
Refractive errors, including myopia, are the most frequent eye disorders worldwide and an
increasingly common cause of blindness. This genome-wide association meta-analysis in …
increasingly common cause of blindness. This genome-wide association meta-analysis in …
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
Abstract The 1000 Genomes Project and disease-specific sequencing efforts are producing
large collections of haplotypes that can be used as reference panels for genotype imputation …
large collections of haplotypes that can be used as reference panels for genotype imputation …
Robust relationship inference in genome-wide association studies
Motivation: Genome-wide association studies (GWASs) have been widely used to map loci
contributing to variation in complex traits and risk of diseases in humans. Accurate …
contributing to variation in complex traits and risk of diseases in humans. Accurate …
Variance component model to account for sample structure in genome-wide association studies
Although genome-wide association studies (GWASs) have identified numerous loci
associated with complex traits, imprecise modeling of the genetic relatedness within study …
associated with complex traits, imprecise modeling of the genetic relatedness within study …
Map** cis- and trans-regulatory effects across multiple tissues in twins
Sequence-based variation in gene expression is a key driver of disease risk. Common
variants regulating expression in cis have been mapped in many expression quantitative …
variants regulating expression in cis have been mapped in many expression quantitative …
Common genetic determinants of vitamin D insufficiency: a genome-wide association study
Background Vitamin D is crucial for maintenance of musculoskeletal health, and might also
have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D …
have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D …
A thrifty variant in CREBRF strongly influences body mass index in Samoans
Samoans are a unique founder population with a high prevalence of obesity,,, making them
well suited for identifying new genetic contributors to obesity. We conducted a genome-wide …
well suited for identifying new genetic contributors to obesity. We conducted a genome-wide …