A unified framework for variance component estimation with summary statistics in genome-wide association studies
نویسندگان
چکیده
منابع مشابه
A Unified Framework for Variance Component Estimation with Summary Statistics in Genome-wide Association Studies.
Linear mixed models (LMMs) are among the most commonly used tools for genetic association studies. However, the standard method for estimating variance components in LMMs-the restricted maximum likelihood estimation method (REML)-suffers from several important drawbacks: REML requires individual-level genotypes and phenotypes from all samples in the study, is computationally slow, and produces ...
متن کاملSupplement to “bayesian Large-scale Multiple Regression with Summary Statistics from Genome-wide Association Studies”
A Theoretical derivation of RSS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1 Proofs of propositions in main text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1.1 Proof of Proposition 2.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1.2 Proof of Proposition 2.2 . . . . . . . . . . . . . . ....
متن کاملBayesian Large-scale Multiple Regression with Summary Statistics from Genome-wide Association Studies.
Bayesian methods for large-scale multiple regression provide attractive approaches to the analysis of genome-wide association studies (GWAS). For example, they can estimate heritability of complex traits, allowing for both polygenic and sparse models; and by incorporating external genomic data into the priors, they can increase power and yield new biological insights. However, these methods req...
متن کاملReproduction and In-Depth Evaluation of Genome-Wide Association Studies and Genome-Wide Meta-analyses Using Summary Statistics
In line with open-source genetics, we report a novel linear regression technique for genome-wide association studies (GWAS), called Open GWAS algoriTHm (OATH). When individual-level data are not available, OATH can not only completely reproduce reported results from an experimental model, but also recover underreported results from other alternative models with a different combination of nuisan...
متن کاملmetaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis
MOTIVATION A dominant approach to genetic association studies is to perform univariate tests between genotype-phenotype pairs. However, analyzing related traits together increases statistical power, and certain complex associations become detectable only when several variants are tested jointly. Currently, modest sample sizes of individual cohorts, and restricted availability of individual-leve...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2017
ISSN: 1932-6157
DOI: 10.1214/17-aoas1052