Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment.

Liu, Andi; Manuel, Astrid M; Dai, Yulin; Zhao, Zhongming

Liu, Andi; Manuel, Astrid M; Dai, Yulin; Zhao, Zhongming.

Afiliação

Liu A; Department of Epidemiology, School of Public Health, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Manuel AM; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Dai Y; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Zhao Z; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.

BMC Genomics ; 23(Suppl 4): 362, 2022 May 11.

Article em En | MEDLINE | ID: mdl-35545758

Assuntos

Estudo de Associação Genômica Ampla; Esclerose Múltipla; Teorema de Bayes; Predisposição Genética para Doença; Humanos; Esclerose Múltipla/genética; Especificidade de Órgãos; Polimorfismo de Nucleotídeo Único; Locos de Características Quantitativas

Palavras-chave

Bayesian framework; Multi-omics; Multiple sclerosis; Single-cell RNA-sequencing; Two-sample Mendelian randomization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Esclerose Múltipla Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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