Matthew_C._Keller

Matthew C. Keller

Matthew C. Keller

American behavioral and psychiatric geneticist


Matthew C. Keller is an American behavioral and psychiatric geneticist. He is the Director of the Institute for Behavioral Genetics and a professor in the Department of Psychology and Neuroscience at the University of Colorado Boulder.[1] He is known for his criticism of the candidate gene approach [2][3][4] and for development of approaches in quantitative genetics.[5][6]


References

  1. "Matthew C Keller's Home Page". www.matthewckeller.com. Retrieved 19 February 2019.
  2. Duncan, Laramie E.; Keller, Matthew C. (November 2011). "A Critical Review of the First 10 Years of Candidate Gene-by-Environment Interaction Research in Psychiatry". American Journal of Psychiatry. 168 (10): 1041–1049. doi:10.1176/appi.ajp.2011.11020191. ISSN 0002-953X. PMC 3222234. PMID 21890791.
  3. Border, Richard; Johnson, Emma C.; Evans, Luke M.; Smolen, Andrew; Berley, Noah; Sullivan, Patrick F.; Keller, Matthew C. (May 2019). "No Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for Major Depression Across Multiple Large Samples". American Journal of Psychiatry. 176 (5): 376–387. doi:10.1176/appi.ajp.2018.18070881. ISSN 0002-953X. PMC 6548317. PMID 30845820.
  4. Johnson, Emma C.; Border, Richard; Melroy-Greif, Whitney E.; de Leeuw, Christiaan A.; Ehringer, Marissa A.; Keller, Matthew C. (November 2017). "No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes". Biological Psychiatry. 82 (10): 702–708. doi:10.1016/j.biopsych.2017.06.033. PMC 5643230. PMID 28823710.
  5. Haplotype Reference Consortium; Evans, Luke M.; Tahmasbi, Rasool; Vrieze, Scott I.; Abecasis, Gonçalo R.; Das, Sayantan; Gazal, Steven; Bjelland, Douglas W.; de Candia, Teresa R.; Goddard, Michael E.; Neale, Benjamin M. (May 2018). "Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits". Nature Genetics. 50 (5): 737–745. doi:10.1038/s41588-018-0108-x. ISSN 1061-4036. PMC 5934350. PMID 29700474.



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