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The Coherence Problem: Finding Meaning in GWAS Complexity.
Reimers, Mark A; Craver, Carl; Dozmorov, Mikhail; Bacanu, Silviu-Alin; Kendler, Kenneth S.
Afiliação
  • Reimers MA; Neuroscience Program and Department of Biomedical Engineering, Michigan State University, 775 Woodlot Rd, East Lansing, MI, 48824, USA. reimersm@msu.edu.
  • Craver C; Philosophy-Neuroscience-Psychology Program, Washington University in St. Louis, St. Louis, USA.
  • Dozmorov M; Department of Biostatistics, Virginia Commonwealth University, Richmond, USA.
  • Bacanu SA; Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, PO Box 980126, Richmond, VA, 23298, USA.
  • Kendler KS; Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, PO Box 980126, Richmond, VA, 23298, USA. kenneth.kendler@vcuhealth.org.
Behav Genet ; 49(2): 187-195, 2019 03.
Article em En | MEDLINE | ID: mdl-30446889
ABSTRACT
Genome wide association studies (GWAS) for behavioral traits and psychiatric disorders have inspired both confident optimism and withering criticism. Although many recent findings from well powered GWAS have been replicated in independent data sets, the genes identified have pinned down few if any underlying causal mechanisms. Therefore, a key issue is whether or not the genes implicated by GWAS form a coherent story on their own and thus could in principle lead to insight into the biological mechanisms underlying the trait or disorder. We sketch here four scenarios for how genes may contribute to traits and disorders; genetic studies may help elucidate mechanisms under only two of our scenarios. We also describe here an approach to characterize, in an unbiased fashion, the molecular coherence of the gene sets implicated by GWAS of various behavioral and psychiatric phenotypes and we sketch how the four scenarios may be reflected in our molecular coherence measure.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Behav Genet Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Behav Genet Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos