Improving GWAS discovery and genomic prediction accuracy in biobank data
EJ Orliac, D Trejo Banos, SE Ojavee… - Proceedings of the …, 2022 - National Acad Sciences
Genetically informed, deep-phenotyped biobanks are an important research resource and it
is imperative that the most powerful, versatile, and efficient analysis approaches are used …
is imperative that the most powerful, versatile, and efficient analysis approaches are used …
Mixed-model association for biobank-scale datasets
To the Editor—Despite recent work highlighting the advantages of linear mixedmodel (LMM)
methods for genome-wide association studies (GWAS) in datasets containing relatedness or …
methods for genome-wide association studies (GWAS) in datasets containing relatedness or …
A generalized linear mixed model association tool for biobank-scale data
Compared with linear mixed model-based genome-wide association (GWA) methods,
generalized linear mixed model (GLMM)-based methods have better statistical properties …
generalized linear mixed model (GLMM)-based methods have better statistical properties …
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
We develop a new method, SBayesRC, that integrates GWAS summary statistics with
functional genomic annotations to improve polygenic prediction of complex traits. Our …
functional genomic annotations to improve polygenic prediction of complex traits. Our …
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 …
Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits
We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability
estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 …
estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 …
Improved polygenic prediction by Bayesian multiple regression on summary statistics
Accurate prediction of an individual's phenotype from their DNA sequence is one of the great
promises of genomics and precision medicine. We extend a powerful individual-level data …
promises of genomics and precision medicine. We extend a powerful individual-level data …
[图书][B] Genome-wide association studies and genomic prediction
C Gondro, J Van der Werf, B Hayes - 2013 - Springer
Genome-wide association studies (GWAS) have rapidly spread across the globe over the
last few years becoming the de facto approach to identify candidate regions associated with …
last few years becoming the de facto approach to identify candidate regions associated with …
Approximate Bayesian neural networks in genomic prediction
P Waldmann - Genetics Selection Evolution, 2018 - Springer
Background Genome-wide marker data are used both in phenotypic genome-wide
association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies …
association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies …
Will big data close the missing heritability gap?
Modern biobanks that collect genotype-phenotype information from hundreds of thousands
of individuals bring unprecedented opportunities for genomic... Despite the important …
of individuals bring unprecedented opportunities for genomic... Despite the important …