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GWAS Study

Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence.

Smeland OB, Bahrami S, Frei O et al.

30610197 PubMed ID
GWAS Study Type
321577 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SO
Smeland OB
BS
Bahrami S
FO
Frei O
SA
Shadrin A
OK
O'Connell K
SJ
Savage J
WK
Watanabe K
KF
Krull F
BF
Bettella F
SN
Steen NE
UT
Ueland T
PD
Posthuma D
DS
Djurovic S
DA
Dale AM
AO
Andreassen OA
Chapter II

Abstract

Summary of the research findings

Schizophrenia (SCZ) and bipolar disorder (BD) are severe mental disorders associated with cognitive impairment, which is considered a major determinant of functional outcome. Despite this, the etiology of the cognitive impairment is poorly understood, and no satisfactory cognitive treatments exist. Increasing evidence indicates that genetic risk for SCZ may contribute to cognitive impairment, whereas the genetic relationship between BD and cognitive function remains unclear. Here, we combined large genome-wide association study data on SCZ (n = 82,315), BD (n = 51,710), and general intelligence (n = 269,867) to investigate overlap in common genetic variants using conditional false discovery rate (condFDR) analysis. We observed substantial genetic enrichment in both SCZ and BD conditional on associations with intelligence indicating polygenic overlap. Using condFDR analysis, we leveraged this enrichment to increase statistical power and identified 75 distinct genomic loci associated with both SCZ and intelligence, and 12 loci associated with both BD and intelligence at conjunctional FDR < 0.01. Among these loci, 20 are novel for SCZ, and four are novel for BD. Most SCZ risk alleles (61 of 75, 81%) were associated with poorer cognitive performance, whereas most BD risk alleles (9 of 12, 75%) were associated with better cognitive performance. A gene set analysis of the loci shared between SCZ and intelligence implicated biological processes related to neurodevelopment, synaptic integrity, and neurotransmission; the same analysis for BD was underpowered. Altogether, the study demonstrates that both SCZ and BD share genetic influences with intelligence, albeit in a different manner, providing new insights into their genetic architectures.

20,352 European ancestry bipolar disorder cases, 31,358 European ancestry controls, 269,867 individuals

Chapter III

Study Statistics

Key metrics and study information

321577
Total Participants
GWAS
Study Type
No
Replicated
European, East Asian
Ancestry
Australia
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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