Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

With the advances in genotyping technologies and electronic health records (EHRs), large biobanks have been great resources to identify novel genetic associations and gene-environment interactions on a genome-wide and even a phenome-wide scale. To date, several phenome-wide association studies (PheW...

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Bibliographic Details
Main Authors: Wenjian Bi, Seunggeun Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Genetics
Subjects:
phenome-wide association studies
electronic health records-EHR
saddlepoint approximation
biobank data analysis
unbalanced phenotypic distribution
genetic relatedness
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.682638/full

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https://www.frontiersin.org/articles/10.3389/fgene.2021.682638/full

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