Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted …
Given the challenges of population growth and climate change, there is an urgent need to
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …
The harmonic mean p-value for combining dependent tests
DJ Wilson - Proceedings of the National Academy of …, 2019 - National Acad Sciences
Analysis of “big data” frequently involves statistical comparison of millions of competing
hypotheses to discover hidden processes underlying observed patterns of data, for example …
hypotheses to discover hidden processes underlying observed patterns of data, for example …
Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies
Integrating results from genome-wide association studies (GWASs) and gene expression
studies through transcriptome-wide association study (TWAS) has the potential to shed light …
studies through transcriptome-wide association study (TWAS) has the potential to shed light …
A linear mixed-model approach to study multivariate gene–environment interactions
R Moore, FP Casale, M Jan Bonder, D Horta… - Nature …, 2019 - nature.com
Different exposures, including diet, physical activity, or external conditions can contribute to
genotype–environment interactions (G× E). Although high-dimensional environmental data …
genotype–environment interactions (G× E). Although high-dimensional environmental data …
Large-scale mutation in the evolution of a gene complex for cryptic coloration
The types of mutations affecting adaptation in the wild are only beginning to be understood.
In particular, whether structural changes shape adaptation by suppressing recombination or …
In particular, whether structural changes shape adaptation by suppressing recombination or …
[HTML][HTML] A unified framework for variance component estimation with summary statistics in genome-wide association studies
X Zhou - The annals of applied statistics, 2017 - ncbi.nlm.nih.gov
Linear mixed models (LMMs) are among the most commonly used tools for genetic
association studies. However, the standard method for estimating variance components in …
association studies. However, the standard method for estimating variance components in …
A robust method uncovers significant context-specific heritability in diverse complex traits
Gene-environment interactions (GxE) can be fundamental in applications ranging from
functional genomics to precision medicine and is a conjectured source of substantial …
functional genomics to precision medicine and is a conjectured source of substantial …
A gene-set enrichment and protein–protein interaction network-based GWAS with regulatory SNPs identifies candidate genes and pathways associated with carcass …
K Srikanth, SH Lee, KY Chung, JE Park, GW Jang… - Genes, 2020 - mdpi.com
Non-synonymous SNPs and protein coding SNPs within the promoter region of genes
(regulatory SNPs) might have a significant effect on carcass traits. Imputed sequence level …
(regulatory SNPs) might have a significant effect on carcass traits. Imputed sequence level …
Fast and flexible linear mixed models for genome-wide genetics
DE Runcie, L Crawford - PLoS genetics, 2019 - journals.plos.org
Linear mixed effect models are powerful tools used to account for population structure in
genome-wide association studies (GWASs) and estimate the genetic architecture of complex …
genome-wide association studies (GWASs) and estimate the genetic architecture of complex …