Polygenic risk scores in imaging genetics: Usefulness and applications

被引：50

作者：

Dima, Danai ^{[1
,2
]}

Breen, Gerome ^{[1
,3
]}

机构：

[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, London SE5 8AF, England

[2] Icahn Sch Med Mt Sinai, Dept Psychiat, New York, NY 10029 USA

[3] South London & Maudsley Natl Hlth Serv NHS Trust, Natl Inst Hlth Res NIHR Biomed Res Ctr Mental Hlt, London, England

来源：

JOURNAL OF PSYCHOPHARMACOLOGY | 2015年 / 29卷 / 08期

关键词：

Imaging genetics; polygenic risk score; schizophrenia; bipolar disorder; psychiatry; GENOME-WIDE ASSOCIATION; BIPOLAR DISORDER; EFFECTIVE CONNECTIVITY; COMMON VARIANTS; SCHIZOPHRENIA; CACNA1C; LOCI; ANK3; METAANALYSIS; INDIVIDUALS;

D O I：

10.1177/0269881115584470

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

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.

引用

页码：867 / 871

页数：5

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