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@ARTICLE{Polushina:894536,
author = {Polushina, Tatiana and Banerjee, Niladri and Giddaluru,
Sudheer and Bettella, Francesco and Espeseth, Thomas and
Lundervold, Astri J. and Djurovic, Srdjan and Cichon, Sven
and Hoffmann, Per and Nöthen, Markus M. and Steen, Vidar M.
and Andreassen, Ole A. and Le Hellard, Stéphanie},
title = {{I}dentification of pleiotropy at the gene level between
psychiatric disorders and related traits},
journal = {Translational Psychiatry},
volume = {11},
number = {1},
issn = {2158-3188},
address = {London},
publisher = {Nature Publishing Group},
reportid = {FZJ-2021-03272},
pages = {410},
year = {2021},
abstract = {Major mental disorders are highly prevalent and make a
substantial contribution to the global disease burden. It is
known that mental disorders share clinical characteristics,
and genome-wide association studies (GWASs) have recently
provided evidence for shared genetic factors as well.
Genetic overlaps are usually identified at the single-marker
level. Here, we aimed to identify genetic overlaps at the
gene level between 7 mental disorders (schizophrenia, autism
spectrum disorder, major depressive disorder, anorexia
nervosa, ADHD, bipolar disorder and anxiety), 8 brain
morphometric traits, 2 cognitive traits (educational
attainment and general cognitive function) and 9 personality
traits (subjective well-being, depressive symptoms,
neuroticism, extraversion, openness to experience,
agreeableness and conscientiousness, children’s aggressive
behaviour, loneliness) based on publicly available GWASs. We
performed systematic conditional regression analyses to
identify independent signals and select loci associated with
more than one trait. We identified 48 genes containing
independent markers associated with several traits
(pleiotropy at the gene level). We also report 9 genes with
different markers that show independent associations with
single traits (allelic heterogeneity). This study
demonstrates that mental disorders and related traits do
show pleiotropy at the gene level as well as the
single-marker level. The identification of these genes might
be important for prioritizing further deep genotyping,
functional studies, or drug targeting.},
cin = {INM-1},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525) / HBP SGA2 - Human Brain Project Specific Grant
Agreement 2 (785907)},
pid = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)785907},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:34326310},
UT = {WOS:000680879900001},
doi = {10.1038/s41398-021-01530-4},
url = {https://juser.fz-juelich.de/record/894536},
}