Using Patterns of Genetic Association to Elucidate Shared Genetic Etiologies Across Psychiatric Disorders
dc.authorid | Cho, Seung Bin/0000-0003-0336-6625 | |
dc.authorid | Bucholz, Kathleen/0000-0003-3794-0736 | |
dc.contributor.author | Cho, Seung Bin | |
dc.contributor.author | Aliev, Fazil | |
dc.contributor.author | Clark, Shaunna L. | |
dc.contributor.author | Adkins, Amy E. | |
dc.contributor.author | Edenberg, Howard J. | |
dc.contributor.author | Bucholz, Kathleen K. | |
dc.contributor.author | Porjesz, Bernice | |
dc.date.accessioned | 2024-09-29T15:51:12Z | |
dc.date.available | 2024-09-29T15:51:12Z | |
dc.date.issued | 2017 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | Twin studies indicate that latent genetic factors overlap across comorbid psychiatric disorders. In this study, we used a novel approach to elucidate shared genetic factors across psychiatric outcomes by clustering single nucleotide polymorphisms based on their genome-wide association patterns. We applied latent profile analysis (LPA) to p-values resulting from genome-wide association studies across three phenotypes: symptom counts of alcohol dependence (AD), antisocial personality disorder (ASP), and major depression (MD), using the European-American case-control genome-wide association study subsample of the collaborative study on the genetics of alcoholism (N = 1399). In the 3-class model, classes were characterized by overall low associations (85.6% of SNPs), relatively stronger association only with MD (6.8%), and stronger associations with AD and ASP but not with MD (7.6%), respectively. These results parallel the genetic factor structure identified in twin studies. The findings suggest that applying LPA to association results across multiple disorders may be a promising approach to identify the specific genetic etiologies underlying shared genetic variance. | en_US |
dc.description.sponsorship | National Institute on Alcohol Abuse and Alcoholism; NIH GEI [U01HG004438]; NIH [HHSN268200782096C]; NCI Cancer Center Support Grant [P30 CA91842]; ICTS/CTSA from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH) [UL1RR024992]; NIH Roadmap for Medical Research | en_US |
dc.description.sponsorship | Funding support for GWAS genotyping performed at the Johns Hopkins University Center for Inherited Disease Research was provided by the National Institute on Alcohol Abuse and Alcoholism, the NIH GEI (U01HG004438), and the NIH contract High throughput genotyping for studying the genetic contributions to human disease (HHSN268200782096C). GWAS genotyping was also performed at the Genome Technology Access Center in the Department of Genetics at Washington University School of Medicine which is partially supported by NCI Cancer Center Support Grant #P30 CA91842 to the Siteman Cancer Center and by ICTS/CTSA Grant# UL1RR024992 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. | en_US |
dc.identifier.doi | 10.1007/s10519-017-9844-4 | |
dc.identifier.endpage | 415 | en_US |
dc.identifier.issn | 0001-8244 | |
dc.identifier.issn | 1573-3297 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.pmid | 28343281 | en_US |
dc.identifier.scopus | 2-s2.0-85016221913 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 405 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s10519-017-9844-4 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/3926 | |
dc.identifier.volume | 47 | en_US |
dc.identifier.wos | WOS:000403569500004 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Behavior Genetics | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Comorbidity | en_US |
dc.subject | Psychiatric disorder | en_US |
dc.subject | Genetic etiology | en_US |
dc.subject | Latent profile analysis | en_US |
dc.subject | GWAS | en_US |
dc.title | Using Patterns of Genetic Association to Elucidate Shared Genetic Etiologies Across Psychiatric Disorders | en_US |
dc.type | Article | en_US |