Thinking about the evolution of complex traits in the era of genome-wide association studies

G Sella, NH Barton - Annual review of genomics and human …, 2019 - annualreviews.org
Many traits of interest are highly heritable and genetically complex, meaning that much of
the variation they exhibit arises from differences at numerous loci in the genome. Complex …

[HTML][HTML] Solving the missing heritability problem

AI Young - PLoS genetics, 2019 - journals.plos.org
The problem of missing heritability, that is to say the gap between heritability estimates from
genotype data and heritability estimates from twin data, has been a source of debate for …

Scalable multi-component linear mixed models with application to SNP heritability estimation

A Pazokitoroudi, Y Wu, KS Burch, K Hou, B Pasaniuc… - bioRxiv, 2019 - biorxiv.org
A central question in human genetics is to find the proportion of variation in a trait that can be
ex-plained by genetic variation. A number of methods have been developed to estimate this …

Gene-environment interactions using a Bayesian whole genome regression model

M Kerin, J Marchini - bioRxiv, 2019 - biorxiv.org
The contribution of gene-environment (GxE) interactions for many human traits and diseases
is poorly characterised. We propose a Bayesian whole genome regression model, LEMMA …

CORE GREML: Estimating covariance between random effects in linear mixed models for genomic analyses of complex traits

X Zhou, HK Im, SH Lee - bioRxiv, 2019 - biorxiv.org
Linear mixed models (LMMs) using genome-based restricted maximum likelihood (GREML)
are a key variance partitioning tool, where effects of multiple sources, such as different …

Statistical models of gene-environment interactions

M Kerin - 2019 - ora.ox.ac.uk
Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of
GxE interactions to complex disease in humans remains poorly characterised. Studies of …