LDAK-GBAT: Fast and powerful gene-based association testing using summary statistics.

Am J Hum Genet

Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark. Electronic address:

Published: January 2023

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892699PMC
http://dx.doi.org/10.1016/j.ajhg.2022.11.010DOI Listing

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