2020
DOI: 10.1038/s41588-020-0621-6
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Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts

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Cited by 163 publications
(170 citation statements)
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“…As single-variant association tests may lack power for rare variants (MAF ≤ 0.5%) and to search for genes with multiple rare protein-altering variants, we performed exome-wide gene-based SKAT-O 38 tests as implemented in SAIGE-GENE 39 to identify rare coding variants associated with TSH. We grouped missense and stop-gain variants with MAF ≤ 0.5% and imputation quality score ≥ 0.8 within each gene and tested 10,071 genes with at least two variants.…”
Section: Resultsmentioning
confidence: 99%
“…As single-variant association tests may lack power for rare variants (MAF ≤ 0.5%) and to search for genes with multiple rare protein-altering variants, we performed exome-wide gene-based SKAT-O 38 tests as implemented in SAIGE-GENE 39 to identify rare coding variants associated with TSH. We grouped missense and stop-gain variants with MAF ≤ 0.5% and imputation quality score ≥ 0.8 within each gene and tested 10,071 genes with at least two variants.…”
Section: Resultsmentioning
confidence: 99%
“…In total, we observed pLOF variants in 17,142 genes that were defined based on GENCODE v29. We conducted burden tests to examine the association between quantitative lung function traits and gene burden using SAIGE-GENE v0.36.3.3 63 . Gene-level burden was generated by aggregating low frequency pLoF variants weighted by their allele frequencies.…”
Section: Methodsmentioning
confidence: 99%
“…Gene-based SKAT-O tests. The exome-wide gene-based SKAT-O tests were performed using SAIGE-GENE v36 23 for all 9 liver traits based on the TOPMedimputed HUNT data. Missense and stop-gain variants annotated by ANNOVAR 42 with MAF ≤ 0.005 were included.…”
Section: Methodsmentioning
confidence: 99%
“…Gene-based burden results are, in contrast to single variant tests, independent of nearby signals and may point to the functional gene in a region. To identify genes functionally involved in the 9 liver-related blood traits, we performed gene-based burden tests using SKAT-O as implemented in SAIGE-GENE 23 . We included all protein-altering variants with frequency below 0.5% in the HUNT dataset.…”
mentioning
confidence: 99%