期刊
MOLECULAR PSYCHIATRY
卷 16, 期 7, 页码 773-783出版社
SPRINGERNATURE
DOI: 10.1038/mp.2010.65
关键词
depression; anxiety; polygenic; genome-wide association; risk score
资金
- NWO [904-61-090, 904-61-193, 480-04-004, 400-05-717, 916-76-125, 480-05-003, 175.010.2005.011]
- Center for Medical Systems Biology (NWO Genomics)
- Spinozapremie [SPI 56-464-14192]
- Neuroscience Campus Amsterdam (NCA-VU)
- EU/QLRT [2001-01254]
- NIMH [R01 MH059160, MH081802]
- ZonMW [10-000-1002]
- universities and mental health care institutes involved in NESDA
- Genetic Association Information Network (GAIN) of the Foundation for the US National Institutes of Health
- GAIN
- Australian National Health and Medical Research Council [496688]
- Netherlands Organisation for Scientific Research, Erasmus MC
- The Netherlands Brain Foundation (HsN)
- Centre for Medical Systems Biology (CMSB)
- EUROSPAN (European Special Populations Network) Consotium
- [R01 MH074027]
- [R01 MH077139]
The first generation of genome-wide association studies (GWA studies) for psychiatric disorders has led to new insights regarding the genetic architecture of these disorders. We now start to realize that a larger number of genes, each with a small contribution, are likely to explain the heritability of psychiatric diseases. The contribution of a large number of genes to complex traits can be analyzed with genome-wide profiling. In a discovery sample, a genetic risk profile for depression was defined based on a GWA study of 1738 adult cases and 1802 controls. The genetic risk scores were tested in two population-based samples of elderly participants. The genetic risk profiles were evaluated for depression and anxiety in the Rotterdam Study cohort and the Erasmus Rucphen Family (ERF) study. The genetic risk scores were significantly associated with different measures of depression and explained up to similar to 0.7% of the variance in depression in Rotterdam Study and up to similar to 1% in ERF study. The genetic score for depression was also significantly associated with anxiety explaining up to 2.1% in Rotterdam study. These findings suggest the presence of many genetic loci of small effect that influence both depression and anxiety. Remarkably, the predictive value of these profiles was as large in the sample of elderly participants as in the middle-aged samples. Molecular Psychiatry (2011) 16, 773-783; doi:10.1038/mp.2010.65; published online 22 June 2010
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