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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

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.