Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness

• Published in: American journal of medical genetics. Part B, Neuropsychiatric genetics Vol. 171B; no. 2; pp. 276 - 289
• Main Authors: Bigdeli, Tim B., Ripke, Stephan, Bacanu, Silviu-Alin, Lee, Sang Hong, Wray, Naomi R., Gejman, Pablo V., Rietschel, Marcella, Cichon, Sven, St Clair, David, Corvin, Aiden, Kirov, George, McQuillin, Andrew, Gurling, Hugh, Rujescu, Dan, Andreassen, Ole A., Werge, Thomas, Blackwood, Douglas H. R., Pato, Carlos N., Pato, Michele T., Malhotra, Anil K., O'Donovan, Michael C., Kendler, Kenneth S., Fanous, Ayman H.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.03.2016; Wiley Subscription Services, Inc
• Subjects: Bipolar Disorder - genetics; Case-Control Studies; Depressive Disorder, Major - genetics; Family; family history; Genetic Predisposition to Disease; Genetics; Genome-Wide Association Study; GWAS; Humans; Inheritance Patterns - genetics; Models, Genetic; Multifactorial Inheritance - genetics; polygenic; Polymorphism, Single Nucleotide - genetics; schizophrenia; Schizophrenia - genetics; GWAS; schizophrenia; family history; polygenic
• ISSN: 1552-4841; 1552-485X
• DOI: 10.1002/ajmg.b.32402

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; P = 0.00331; 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. © 2015 Wiley Periodicals, Inc.