ArticleNature genetics2021
A generalized linear mixed model association tool for biobank-scale data.
Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 454 papers, 15 of them syntheses that pooled it.
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Who cites it
454 citing papers in PubMed, 15 syntheses or guidelines pooled it.
- Genome-Wide Association Studies of Hospitalized Influenza Identify Four Risk Loci and Reveal Shared and Unique Genetic Factors Compared With COVID-19.Influenza and other respiratory viruses · 2026Pooled it
- Genetic architecture and cross-platform validation of apolipoprotein A-IV concentrations.Genome biology · 2026Pooled it
- Association between serum uric acid levels and COPD: a meta-analysis and mendelian randomization study.BMC pulmonary medicine · 2026Pooled it
- Multi ancestry genome wide association meta analysis of urinary aMT6s levels.Scientific reports · 2026Pooled it
- CPNE1: A novel therapeutic target for myopia progression - from genetic GWAS discovery to functional validation in vitro and vivo.Journal of translational medicine · 2026Pooled it
- Gastrointestinal traits, common inflammatory disorders, gallstones, and biliary tract cancer: A network Mendelian randomization study.Journal of advanced research · 2026Pooled it
- Identification of 4 autophagy-related genetic variants as risk factors for chronic lymphocytic leukemia.Blood advances · 2025Pooled it
- Scalable and accurate rare variant meta-analysis with Meta-SAIGE.Nature genetics · 2025Pooled it
- Inflammatory cytokines are associated with stroke and risk factors of cerebrovascular diseases: a Mendelian randomization study.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Pooled it
- Genomic loci and molecular genetic mechanisms for hidradenitis suppurativa.The British journal of dermatology · 2025Pooled it
- Genetic imputation of transcriptome and proteome illuminates novel therapeutic targets of cutaneous melanoma.Briefings in bioinformatics · 2025Pooled it
- Sex-stratified genome-wide association meta-analysis of major depressive disorder.Nature communications · 2025Pooled it
- Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations.Nature communications · 2025Pooled it
- Integrative bioinformatics frameworks for abdominal aortic aneurysm using GWAS meta-analysis, biological network construction, and structural modeling.Scientific reports · 2025Pooled it
- Spleen volume in relation to ulcerative colitis and Crohn's disease: a Mendelian randomization study.Scientific reports · 2025Pooled it
- Genetic links between multimorbidity and human aging.GeroScience · 2026Article
- Bidirectional causal associations between Sjögren syndrome and gastrointestinal disorders: A two-sample Mendelian randomization study.Medicine · 2026Article
- Common genetic variants are associated with increased likelihood of latent co-occurring neurodevelopmental and mental health factors among autistic individuals.Molecular psychiatry · 2026Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Compared with linear mixed model-based genome-wide association (GWA) methods, generalized linear mixed model (GLMM)-based methods have better statistical properties when applied to binary traits but are computationally much slower. In the present study, leveraging efficient sparse matrix-based algorithms, we developed a GLMM-based GWA tool, fastGWA-GLMM, that is severalfold to orders of magnitude faster than the state-of-the-art tools when applied to the UK Biobank (UKB) data and scalable to cohorts with millions of individuals. We show by simulation that the fastGWA-GLMM test statistics of both common and rare variants are well calibrated under the null, even for traits with extreme case-control ratios. We applied fastGWA-GLMM to the UKB data of 456,348 individuals, 11,842,647 variants and 2,989 binary traits (full summary statistics available at http://fastgwa.info/ukbimpbin ), and identified 259 rare variants associated with 75 traits, demonstrating the use of imputed genotype data in a large cohort to discover rare variants for binary complex traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.