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GWAS Study

Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort.

Yao Y, Jia Y, Wen Y et al.

35023977 PubMed ID
GWAS Study Type
336463 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

YY
Yao Y
JY
Jia Y
WY
Wen Y
CB
Cheng B
CS
Cheng S
LL
Liu L
YX
Yang X
MP
Meng P
CY
Chen Y
LC
Li C
ZJ
Zhang J
ZZ
Zhang Z
PC
Pan C
ZH
Zhang H
WC
Wu C
WX
Wang X
NY
Ning Y
WS
Wang S
ZF
Zhang F
Chapter II

Abstract

Summary of the research findings

Purpose: Most previous genetic studies of sleep behaviors were conducted individually, without comprehensive consideration of the complexity of various sleep behaviors. Our aim is to identify the genetic architecture and potential biomarker of the sleep health score, which more powerfully represents overall sleep traits.

336,463 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

336463
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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