Your browser doesn't support javascript.
loading
Linking traits based on their shared molecular mechanisms.
Oren, Yael; Nachshon, Aharon; Frishberg, Amit; Wilentzik, Roni; Gat-Viks, Irit.
Afiliação
  • Oren Y; Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Nachshon A; Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Frishberg A; Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Wilentzik R; Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Gat-Viks I; Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Elife ; 42015 Mar 17.
Article em En | MEDLINE | ID: mdl-25781485
ABSTRACT
There is growing recognition that co-morbidity and co-occurrence of disease traits are often determined by shared genetic and molecular mechanisms. In most cases, however, the specific mechanisms that lead to such trait-trait relationships are yet unknown. Here we present an analysis of a broad spectrum of behavioral and physiological traits together with gene-expression measurements across genetically diverse mouse strains. We develop an unbiased methodology that constructs potentially overlapping groups of traits and resolves their underlying combination of genetic loci and molecular mechanisms. For example, our method predicts that genetic variation in the Klf7 gene may influence gene transcripts in bone marrow-derived myeloid cells, which in turn affect 17 behavioral traits following morphine injection; this predicted effect of Klf7 is consistent with an in vitro perturbation of Klf7 in bone marrow cells. Our analysis demonstrates the utility of studying hidden causative mechanisms that lead to relationships between complex traits.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Algoritmos / Biologia Computacional / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Elife Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Algoritmos / Biologia Computacional / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Elife Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Israel