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Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke, +210 more
- 01 Oct 2011 - 
- Vol. 43, Iss: 10, pp 969-976
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TLDR
The authors examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects.
Abstract
We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 x 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 x 10(-9)), ANK3 (rs10994359, P = 2.5 x 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 x 10(-9)).

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Journal ArticleDOI

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke, +354 more
- 24 Jul 2014 - 
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
Journal ArticleDOI

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee, +405 more
- 01 Sep 2013 - 
TL;DR: Empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
Journal ArticleDOI

Power and Predictive Accuracy of Polygenic Risk Scores

TL;DR: It is shown that published studies with significant association of polygenic scores have been well powered, whereas those with negative results can be explained by low sample size, and that useful levels of prediction may only be approached when predictors are estimated from very large samples.
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Independent prognostic information provided by sphygmomanometrically determined pulse pressure and mean arterial pressure in patients with left ventricular dysfunction.

TL;DR: One noninvasive blood pressure measurement provides two independent prognostic factors for survival, as assessed by pulse pressure, may contribute to increased mortality in patients with left ventricular dysfunction, independent of mean arterial pressure.
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Genome-wide meta-analyses identifies seven loci associated with platelet aggregation in response to agonists

TL;DR: In this paper, the authors identified associations of seven loci with platelet aggregation near or within GP6 (P=4.6x10(-13), PEAR1(P=3.4x10-12), ADRA2A (P =3.3x10 -11), PIK3CG (P < 0.1x10−1), MRVI1 (P 2.0x10 −8), MRVC (P 1.6×10−8), SHH (P 4.5x10)-8), and MR
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From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes.

TL;DR: It is suggested that improved disease risk assessment can be achieved by using algorithms that take into account interactions between a large ensemble of markers, especially for diseases where a notable proportion of the risk has already been captured by SNP arrays.
Journal ArticleDOI

A commentary on 'common SNPs explain a large proportion of the heritability for human height' by Yang et al. (2010).

TL;DR: A number of additional results that show that the estimates of additive genetic variation are not driven by population structure are reported, in the form of comments and questions and answers.
Journal ArticleDOI

Evidence for polygenic susceptibility to multiple sclerosis--the shape of things to come.

TL;DR: It is demonstrated that a substantial proportion of the thousands of variants that individually fail to show statistically significant evidence of association have allele frequencies in cases that are skewed away from the null distribution through the effects of multiple as-yet-unidentified risk loci.
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