A mixed-model approach for genome-wide association studies of correlated traits in structured populations
Genome-wide association studies (GWAS) are a standard approach for studying the
genetics of natural variation. A major concern in GWAS is the need to account for the …
genetics of natural variation. A major concern in GWAS is the need to account for the …
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
Population structure causes genome-wide linkage disequilibrium between unlinked loci,
leading to statistical confounding in genome-wide association studies. Mixed models have …
leading to statistical confounding in genome-wide association studies. Mixed models have …
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 …
A resource-efficient tool for mixed model association analysis of large-scale data
The genome-wide association study (GWAS) has been widely used as an experimental
design to detect associations between genetic variants and a phenotype. Two major …
design to detect associations between genetic variants and a phenotype. Two major …
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 …
[HTML][HTML] Further improvements to linear mixed models for genome-wide association studies
We examine improvements to the linear mixed model (LMM) that better correct for
population structure and family relatedness in genome-wide association studies (GWAS) …
population structure and family relatedness in genome-wide association studies (GWAS) …
A plethora of pleiotropy across complex traits
PM Visscher, J Yang - Nature genetics, 2016 - nature.com
A new analysis has identified hundreds of loci that are associated with multiple traits or
diseases by comparing genome-wide association study (GWAS) data for 42 complex traits …
diseases by comparing genome-wide association study (GWAS) data for 42 complex traits …
An atlas of genetic associations in UK Biobank
O Canela-Xandri, K Rawlik, A Tenesa - Nature genetics, 2018 - nature.com
Genome-wide association studies (GWAS) have identified many loci contributing to variation
in complex traits, yet the majority of loci that contribute to the heritability of complex traits …
in complex traits, yet the majority of loci that contribute to the heritability of complex traits …
Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture
ME Goddard, KE Kemper… - … of the Royal …, 2016 - royalsocietypublishing.org
Complex or quantitative traits are important in medicine, agriculture and evolution, yet, until
recently, few of the polymorphisms that cause variation in these traits were known. Genome …
recently, few of the polymorphisms that cause variation in these traits were known. Genome …
[HTML][HTML] Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects
Estimates from genome-wide association studies (GWAS) of unrelated individuals capture
effects of inherited variation (direct effects), demography (population stratification …
effects of inherited variation (direct effects), demography (population stratification …