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LDAK-GBAT: Fast and powerful gene-based association testing using summary statistics.
Berrandou, Takiy-Eddine; Balding, David; Speed, Doug.
Afiliación
  • Berrandou TE; Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark. Electronic address: takiy.berrandou@qgg.au.dk.
  • Balding D; Melbourne Integrative Genomics, Melbourne University, Melbourne, VIC, Australia.
  • Speed D; Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark. Electronic address: doug@qgg.au.dk.
Am J Hum Genet ; 110(1): 23-29, 2023 01 05.
Article en En | MEDLINE | ID: mdl-36480927
We present LDAK-GBAT, a tool for gene-based association testing using summary statistics from genome-wide association studies that is computationally efficient, produces well-calibrated p values, and is significantly more powerful than existing tools. LDAK-GBAT takes approximately 30 min to analyze imputed data (2.9M common, genic SNPs), requiring less than 10 Gb memory. It shows good control of type 1 error given an appropriate reference panel. Across 109 phenotypes (82 from the UK Biobank, 18 from the Million Veteran Program, and nine from the Psychiatric Genetics Consortium), LDAK-GBAT finds on average 19% (SE: 1%) more significant genes than the existing tool sumFREGAT-ACAT, with even greater gains in comparison with MAGMA, GCTA-fastBAT, sumFREGAT-SKAT-O, and sumFREGAT-PCA.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Idioma: En Revista: Am J Hum Genet Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Idioma: En Revista: Am J Hum Genet Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos