Menu
GWAS Study

Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.

Chu BB, Keys KL, German CA et al.

32491161 PubMed ID
GWAS Study Type
185565 Participants
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CB
Chu BB
KK
Keys KL
GC
German CA
ZH
Zhou H
ZJ
Zhou JJ
SE
Sobel EM
SJ
Sinsheimer JS
LK
Lange K
Chapter II

Abstract

Summary of the research findings

Consecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing analysis methods for genome-wide association studies (GWAS) perform only univariate regression.

185,565 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

185565
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.