Mechanistic phenotypes: An aggregative phenotyping strategy to identify disease mechanisms using GWAS data

Autor: Witte, John, Mosley, JD, Van, SL, Larkin, EK, Weeke, PE, Witte, JS, Wells, QS, Karnes, JH, Guo, Y, Bastarache, L, Olson, LM
Jazyk: angličtina
Rok vydání: 2013
Zdroj: Witte, John; Mosley, JD; Van, SL; Larkin, EK; Weeke, PE; Witte, JS; et al.(2013). Mechanistic phenotypes: An aggregative phenotyping strategy to identify disease mechanisms using GWAS data. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/8vn7w2hf
Popis: A single mutation can alter cellular and global homeostatic mechanisms and give rise to multiple clinical diseases. We hypothesized that these disease mechanisms could be identified using low minor allele frequency (MAF
Databáze: OpenAIRE