Title |
Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs
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Published in |
Nature Genetics, February 2012
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DOI | 10.1038/ng.1108 |
Pubmed ID | |
Authors |
S Hong Lee, Teresa R DeCandia, Stephan Ripke, Jian Yang, Patrick F Sullivan, Michael E Goddard, Matthew C Keller, Peter M Visscher, Naomi R Wray |
Abstract |
Schizophrenia is a complex disorder caused by both genetic and environmental factors. Using 9,087 affected individuals, 12,171 controls and 915,354 imputed SNPs from the Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (PGC-SCZ), we estimate that 23% (s.e. = 1%) of variation in liability to schizophrenia is captured by SNPs. We show that a substantial proportion of this variation must be the result of common causal variants, that the variance explained by each chromosome is linearly related to its length (r = 0.89, P = 2.6 × 10(-8)), that the genetic basis of schizophrenia is the same in males and females, and that a disproportionate proportion of variation is attributable to a set of 2,725 genes expressed in the central nervous system (CNS; P = 7.6 × 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 25% |
United Kingdom | 1 | 13% |
Germany | 1 | 13% |
Ireland | 1 | 13% |
United States | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 4 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 4% |
United Kingdom | 8 | 2% |
Italy | 2 | <1% |
Germany | 2 | <1% |
Korea, Republic of | 1 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 494 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 133 | 25% |
Researcher | 119 | 22% |
Student > Master | 55 | 10% |
Student > Bachelor | 36 | 7% |
Student > Doctoral Student | 34 | 6% |
Other | 92 | 17% |
Unknown | 62 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 166 | 31% |
Medicine and Dentistry | 69 | 13% |
Biochemistry, Genetics and Molecular Biology | 62 | 12% |
Psychology | 49 | 9% |
Neuroscience | 35 | 7% |
Other | 66 | 12% |
Unknown | 84 | 16% |