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GWAS Study

Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income.

Hill WD, Davies NM, Ritchie SJ et al.

31844048 PubMed ID
GWAS Study Type
505541 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HW
Hill WD
DN
Davies NM
RS
Ritchie SJ
SN
Skene NG
BJ
Bryois J
BS
Bell S
DA
Di Angelantonio E
RD
Roberts DJ
XS
Xueyi S
DG
Davies G
LD
Liewald DCM
PD
Porteous DJ
HC
Hayward C
BA
Butterworth AS
MA
McIntosh AM
GC
Gale CR
DI
Deary IJ
Chapter II

Abstract

Summary of the research findings

Socioeconomic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. In a sample of 286,301 participants from UK Biobank, we identify 30 (29 previously unreported) independent-loci associated with income. Using a method to meta-analyze data from genetically-correlated traits, we identify an additional 120 income-associated loci. These loci show clear evidence of functionality, with transcriptional differences identified across multiple cortical tissues, and links to GABAergic and serotonergic neurotransmission. By combining our genome wide association study on income with data from eQTL studies and chromatin interactions, 24 genes are prioritized for follow up, 18 of which were previously associated with intelligence. We identify intelligence as one of the likely causal, partly-heritable phenotypes that might bridge the gap between molecular genetic inheritance and phenotypic consequence in terms of income differences. These results indicate that, in modern era Great Britain, genetic effects contribute towards some of the observed socioeconomic inequalities.

505,541 British and unknown ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

505541
Total Participants
GWAS
Study Type
No
Replicated
European, NR
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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