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Genome-wide association analysis reveals extensive genetic overlap between mood instability and psychiatric disorders but divergent patterns of genetic effects

Authors :
Margrethe Collier Høegh
Trine Vik Lagerberg
Weiqiu Cheng
Alexey A. Shadrin
Olav B. Smeland
Linn Rødevand
Naz Karadag
Oleksandr Frei
Chun Chieh Fan
Kevin S. O’Connell
Srdjan Djurovic
Guy Hindley
Zillur Rahman
Shahram Bahrami
Aihua Lin
Anders M. Dale
Ole A. Andreassen
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Mood instability (MOOD) is a transdiagnostic phenomenon with a prominent neurobiological basis. Recent genome-wide association studies found significant positive genetic correlation between MOOD and major depression (DEP) and weak correlations with other psychiatric disorders. We investigated the polygenic overlap between MOOD and psychiatric disorders beyond genetic correlation to better characterize putative shared genetic determinants. Summary statistics for schizophrenia (SCZ, n=105,318), bipolar disorder (BIP, n=413,466), DEP (n=450,619), attention-deficit hyperactivity disorder (ADHD, n=53,293) and MOOD (n=363,705), were analysed using the bivariate causal mixture model and conjunctional false discovery rate methods to estimate the proportion of shared variants influencing MOOD and each disorder, and identify jointly associated genomic loci. MOOD correlated positively with all psychiatric disorders, but with wide variation in strength (rg=0.10-0.62). Of 10.4K genomic variants influencing MOOD, 4K-9.4K were estimated to influence psychiatric disorders. MOOD was jointly associated with DEP at 163 loci, SCZ at 110, BIP at 60 and ADHD at 25, with consistent genetic effects in independent samples. Fifty-three jointly associated loci were overlapping across two or more disorders (transdiagnostic), seven of which had discordant effect directions on psychiatric disorders. Genes mapped to loci associated with MOOD and all four disorders were enriched in a single gene-set, “synapse organization”. The extensive polygenic overlap indicates shared molecular underpinnings across MOOD and psychiatric disorders. However, distinct patterns of genetic correlation and effect directions of shared loci suggest divergent effects on corresponding neurobiological mechanisms which may relate to differences in the core clinical features of each disorder.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........3c6a84a85edf28428fbaa0b5c16abe2c
Full Text :
https://doi.org/10.1101/2021.07.16.21260608