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Chatzinakos, C.* ; Georgiadis, F.* ; Lee, D.* ; Cai, N. ; Vladimirov, V.I.* ; Docherty, A.* ; Webb, B.T.* ; Riley, B.P.* ; Flint, J.* ; Kendler, K.S.* ; Daskalakis, N.P.* ; Bacanu, S.A.*

TWAS pathway method greatly enhances the number of leads for uncovering the molecular underpinnings of psychiatric disorders.

Am. J. Med. Genet. B 183, 454-463 (2020)
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Genetic signal detection in genome-wide association studies (GWAS) is enhanced by pooling small signals from multiple Single Nucleotide Polymorphism (SNP), for example, across genes and pathways. Because genes are believed to influence traits via gene expression, it is of interest to combine information from expression Quantitative Trait Loci (eQTLs) in a gene or genes in the same pathway. Such methods, widely referred to as transcriptomic wide association studies (TWAS), already exist for gene analysis. Due to the possibility of eliminating most of the confounding effects of linkage disequilibrium (LD) from TWAS gene statistics, pathway TWAS methods would be very useful in uncovering the true molecular basis of psychiatric disorders. However, such methods are not yet available for arbitrarily large pathways/gene sets. This is possibly due to the quadratic (as a function of the number of SNPs) computational burden for computing LD across large chromosomal regions. To overcome this obstacle, we propose JEPEGMIX2-P, a novel TWAS pathway method that (a) has a linear computational burden, (b) uses a large and diverse reference panel (33 K subjects), (c) is competitive (adjusts for background enrichment in gene TWAS statistics), and (d) is applicable as-is to ethnically mixed-cohorts. To underline its potential for increasing the power to uncover genetic signals over the commonly used nontranscriptomics methods, for example,MAGMA, we applied JEPEGMIX2-P to summary statistics of most large meta-analyses from Psychiatric Genetics Consortium (PGC). While our work is just the very first step toward clinical translation of psychiatric disorders, PGC anorexia results suggest a possible avenue for treatment.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Gene Expression ; Genetics ; Gwas ; Pathway ; Twas; Genome-wide Association; Enrichment Analysis; Direct Imputation; Statistics; Expression; Risk
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1552-4841
e-ISSN 0148-7299
Journal American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Quellenangaben Volume: 183, Issue: 8, Pages: 454-463 Article Number: , Supplement: ,
Publisher Wiley
Publishing Place Hoboken, NJ
Reviewing status Peer reviewed
Institute(s) Helmholtz Pioneer Campus (HPC)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Pioneer Campus
PSP Element(s) G-510000-001
Grants National Institute of Mental Health
National Center for Advancing Translational Sciences
DOI 10.1002/ajmg.b.32823
WOS ID WOS:000571253800001
Scopus ID 85091175520
Erfassungsdatum 2020-11-09
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