Menu
GWAS Study

Detection and interpretation of shared genetic influences on 42 human traits.

Pickrell JK, Berisa T, Liu JZ et al.

27182965 PubMed ID
GWAS Study Type
334141 Participants
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PJ
Pickrell JK
BT
Berisa T
LJ
Liu JZ
SL
Ségurel L
TJ
Tung JY
HD
Hinds DA
Chapter II

Abstract

Summary of the research findings

We performed a scan for genetic variants associated with multiple phenotypes by comparing large genome-wide association studies (GWAS) of 42 traits or diseases. We identified 341 loci (at a false discovery rate of 10%) associated with multiple traits. Several loci are associated with multiple phenotypes; for example, a nonsynonymous variant in the zinc transporter SLC39A8 influences seven of the traits, including risk of schizophrenia (rs13107325: log-transformed odds ratio (log OR) = 0.15, P = 2 × 10(-12)) and Parkinson disease (log OR = -0.15, P = 1.6 × 10(-7)), among others. Second, we used these loci to identify traits that have multiple genetic causes in common. For example, variants associated with increased risk of schizophrenia also tended to be associated with increased risk of inflammatory bowel disease. Finally, we developed a method to identify pairs of traits that show evidence of a causal relationship. For example, we show evidence that increased body mass index causally increases triglyceride levels.

9,619 European ancestry cases, 324,522 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

334141
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.