Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18805
Title: Genome-Wide Association Study Reveals Greater Polygenic Loading for Schizophrenia in Cases With a Family History of Illness
Contributor(s): Bigdeli, Tim B (author); Ripke, Stephan (author); Kirov, George (author); McQuillin, Andrew (author); Gurling, Hugh (author); Rujescu, Dan (author); Andreassen, Ole A (author); Werge, Thomas (author); Blackwood, Douglas H R (author); Pato, Carlos N (author); Pato, Michele T (author); Malhotra, Anil K (author); Bacanu, Silviu-Alin (author); O'Donovan, Michael C. (author); Kendler, Kenneth S (author); Fanous, Ayman H (author); Lee, Sang Hong  (author); Wray, Naomi R (author); Gejman, Pablo V (author); Rietschel, Marcella (author); Cichon, Sven (author); St Clair, David (author); Corvin, Aiden (author)
Publication Date: 2016
DOI: 10.1002/ajmg.b.32402
Handle Link: https://hdl.handle.net/1959.11/18805
Abstract: Genome-wide association studies (GWAS) of schizophrenia have yielded more than 100 common susceptibility variants, and strongly support a substantial polygenic contribution of a large number of small allelic effects. It has been hypothesized that familial schizophrenia is largely a consequence of inherited rather than environmental factors. We investigated the extent to which familiality of schizophrenia is associated with enrichment for common risk variants detectable in a large GWAS. We analyzed single nucleotide polymorphism (SNP) data for cases reporting a family history of psychotic illness (N = 978), cases reporting no such family history (N = 4,503), and unscreened controls (N = 8,285) from the Psychiatric Genomics Consortium (PGC1) study of schizophrenia. We used a multinomial logistic regression approach with model-fitting to detect allelic effects specific to either family history subgroup.We also considered a polygenic model, in which we tested whether family history positive subjects carried more schizophrenia risk alleles than family history negative subjects, on average. Several individual SNPs attained suggestive but not genome-wide significant association with either family history subgroup. Comparison of genome-wide polygenic risk scores based on GWAS summary statistics indicated a significant enrichment for SNP effects among family history positive compared to family history negative cases (Nagelkerke's R2 = 0.0021; P¼0.00331; P = value threshold <0.4). Estimates of variability in disease liability attributable to the aggregate effect of genome-wide SNPs were significantly greater for family history positive compared to family history negative cases (0.32 and 0.22, respectively; P = 0.031).We found suggestive evidence of allelic effects detectable in large GWAS of schizophrenia that might be specific to particular family history subgroups. However, consideration of a polygenic risk score indicated a significant enrichment among family history positive cases for common allelic effects. Familial illness might, therefore, represent a more heritable form of schizophrenia, as suggested by previous epidemiological studies.
Publication Type: Journal Article
Source of Publication: American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 171(2), p. 276-289
Publisher: John Wiley & Sons, Inc
Place of Publication: United States of America
ISSN: 1552-485X
1552-4841
Fields of Research (FoR) 2008: 060410 Neurogenetics
060408 Genomics
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
Fields of Research (FoR) 2020: 310511 Neurogenetics
310509 Genomics
310506 Gene mapping
Socio-Economic Objective (SEO) 2008: 920110 Inherited Diseases (incl. Gene Therapy)
970111 Expanding Knowledge in the Medical and Health Sciences
970106 Expanding Knowledge in the Biological Sciences
Socio-Economic Objective (SEO) 2020: 280114 Expanding knowledge in Indigenous studies
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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