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Matthew C. Keller

Researcher at University of Colorado Boulder

Publications -  278
Citations -  30239

Matthew C. Keller is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 55, co-authored 244 publications receiving 24387 citations. Previous affiliations of Matthew C. Keller include Murphy Oil & University of California, Berkeley.

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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.
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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.
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Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke, +210 more
- 01 Oct 2011 - 
TL;DR: 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.
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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson, +394 more
TL;DR: LDpred is introduced, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel, and outperforms the approach of pruning followed by thresholding, particularly at large sample sizes.
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A Critical Review of the First 10 Years of Candidate Gene-by-Environment Interaction Research in Psychiatry

TL;DR: Gene-by-environment interaction studies in psychiatry have typically been conducted using a candidate G×E (cG×E) approach, analogous to the candidate gene association approach used to test genetic main effects, yet cG–E findings remain controversial.