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Phenome-Wide Association Studies: Embracing Complexity for Discovery.
Pendergrass, Sarah A; Verma, Anurag; Okula, Anna; Hall, Molly A; Crawford, Dana C; Ritchie, Marylyn D.
Afiliação
  • Pendergrass SA; Biomedical and Translational Informatics Program, Geisinger Health System, Danville, Pa., USA.
Hum Hered ; 79(3-4): 111-23, 2015.
Article em En | MEDLINE | ID: mdl-26201697
The inherent complexity of biological systems can be leveraged for a greater understanding of the impact of genetic architecture on outcomes, traits, and pharmacological response. The genome-wide association study (GWAS) approach has well-developed methods and relatively straight-forward methodologies; however, the bigger picture of the impact of genetic architecture on phenotypic outcome still remains to be elucidated even with an ever-growing number of GWAS performed. Greater consideration of the complexity of biological processes, using more data from the phenome, exposome, and diverse -omic resources, including considering the interplay of pleiotropy and genetic interactions, may provide additional leverage for making the most of the incredible wealth of information available for study. Here, we describe how incorporating greater complexity into analyses through the use of additional phenotypic data and widespread deployment of phenome-wide association studies may provide new insights into genetic factors influencing diseases, traits, and pharmacological response.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Hered Ano de publicação: 2015 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: Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Hered Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos