Byrne, E., Zhu, Z., Qi, T., Skene, N., Bryois, J., Pardinas, A., Stahl, E., Smoller, J., Rietschel, N., Bipolar Working Group, of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the, Psychiatric Genomics Consortium, Owen, M., Walters, J., O’Donovan, M., McGrath, J., Hjerling-Leffler, J., Sullivan, P., Goddard, M., Visscher, P., Yang, J., Wray, N., Gordon-Smith, Katherine ORCID: https://orcid.org/0000-0003-4083-1143, Jones, Lisa ORCID: https://orcid.org/0000-0002-5122-8334 and Perry, Amy ORCID: https://orcid.org/0000-0002-9381-6636 (2020) Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders. Molecular Psychiatry. ISSN Print: 1359-4184 Online: 1476-5578
Preview |
Text
Gordon-Smith-9862-AAM-2020-Conditional-GWAS-analysis-to-identify-disorder-specific-SNP-for-psychiatric-disorders.pdf - Accepted Version Download (497kB) | Preview |
Abstract
Substantial genetic liability is shared across psychiatric disorders but less is known about risk variants that are specific to a given disorder. We used multi-trait conditional and joint analysis (mtCOJO) to adjust GWAS summary statistics of one disorder for the effects of genetically correlated traits to identify putative disorder-specific SNP associations. We applied mtCOJO to summary statistics for five psychiatric disorders from the Psychiatric Genomics Consortium – schizophrenia (SCZ), bipolar disorder (BIP), major depression (MD), attention-deficit hyperactivity disorder (ADHD) and autism (AUT). Most genome-wide significant variants for these disorders had evidence of pleiotropy (i.e., impact on multiple psychiatric disorders) and hence have reduced mtCOJO conditional effect sizes. However, subsets of genome-wide significant variants had larger conditional effect sizes consistent with disorder-specific effects: 15 of 130 genome-wide significant variants for schizophrenia, 5 of 40 for major depression, 3 of 11 for ADHD and 1 of 2 for autism. We show that decreased expression of VPS29 in the brain may increase risk to SCZ only and increased expression of CSE1L is associated with SCZ and MD, but not with BIP. Likewise, decreased expression of PCDHA7 in the brain is linked to increased risk of MD but decreased risk of SCZ and BIP.
Item Type: | Article |
---|---|
Additional Information: | Staff and students at the University of Worcester can access the full-text of the online published article via the official URL. External users should check availability with their local library or Interlibrary Requests Service. |
Uncontrolled Discrete Keywords: | conditional, GWAS analysis, disorder-specific SNPs, psychiatric disorders |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
Divisions: | College of Health, Life and Environmental Sciences > School of Allied Health and Community |
Related URLs: | |
Depositing User: | Katherine Gordon-Smith |
Date Deposited: | 16 Oct 2020 09:51 |
Last Modified: | 07 Dec 2020 17:14 |
URI: | https://eprints.worc.ac.uk/id/eprint/9862 |
Actions (login required)
View Item |