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Polygenic risk scores in imaging genetics: Usefulness and applications

Dima, D. and Breen, G. (2015). Polygenic risk scores in imaging genetics: Usefulness and applications. Journal of Psychopharmacology, 29(8), pp. 867-871. doi: 10.1177/0269881115584470

Abstract

Genetic factors account for up to 80% of the liability for schizophrenia and bipolar disorder. Genome-wide association studies (GWAS) have successfully identified several single nucleotide polymorphisms (SNPs) and genes associated with increased risk for both disorders. Single SNP analyses alone do not address the overall genomic or polygenic architecture of psychiatric disorders as the amount of phenotypic variation explained by each GWAS-supported SNP is small whereas the number of SNPs/regions underlying risk for illness is thought to be very large. The polygenic risk score models the aggregate effect of alleles associated with disease status present in each individual and allows us to utilise the power of large GWAS to be applied robustly in small samples. Here we make the case that risk prediction, intervention and personalised medicine can only benefit with the inclusion of polygenic risk scores in imaging genetics research.

Publication Type: Article
Additional Information: Copyright Sage 2015
Publisher Keywords: Imaging genetics, polygenic risk score, schizophrenia, bipolar disorder, psychiatry
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Departments: School of Arts & Social Sciences > Psychology
URI: http://openaccess.city.ac.uk/id/eprint/15081
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