Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants.

Song, Shuang; Shan, Nayang; Wang, Geng; Yan, Xiting; Liu, Jun S; Hou, Lin

Song, Shuang; Shan, Nayang; Wang, Geng; Yan, Xiting; Liu, Jun S; Hou, Lin.

Afiliação

Song S; Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, 100084 Beijing, China.
Shan N; Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, 100084 Beijing, China.
Wang G; University of Queensland Diamantina Institute, University of Queensland, 4102 Brisbane, Australia.
Yan X; Department of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT 06519, USA.
Liu JS; Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
Hou L; Department of Statistics, Harvard University, Cambridge, MA 02138, USA.

Bioinformatics ; 37(24): 4737-4743, 2021 12 11.

Article em En | MEDLINE | ID: mdl-34260700

Assuntos

Estudo de Associação Genômica Ampla; Software; Humanos; Estudo de Associação Genômica Ampla/métodos; Genótipo; Genômica; Biologia Computacional

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google