These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
1842 related articles for article (PubMed ID: 34737426)
1. A generalized linear mixed model association tool for biobank-scale data. Jiang L; Zheng Z; Fang H; Yang J Nat Genet; 2021 Nov; 53(11):1616-1621. PubMed ID: 34737426 [TBL] [Abstract][Full Text] [Related]
2. A resource-efficient tool for mixed model association analysis of large-scale data. Jiang L; Zheng Z; Qi T; Kemper KE; Wray NR; Visscher PM; Yang J Nat Genet; 2019 Dec; 51(12):1749-1755. PubMed ID: 31768069 [TBL] [Abstract][Full Text] [Related]
3. Evaluation of GENESIS, SAIGE, REGENIE and fastGWA-GLMM for genome-wide association studies of binary traits in correlated data. Gurinovich A; Li M; Leshchyk A; Bae H; Song Z; Arbeev KG; Nygaard M; Feitosa MF; Perls TT; Sebastiani P Front Genet; 2022; 13():897210. PubMed ID: 36212134 [TBL] [Abstract][Full Text] [Related]
4. Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts. Zhou W; Zhao Z; Nielsen JB; Fritsche LG; LeFaive J; Gagliano Taliun SA; Bi W; Gabrielsen ME; Daly MJ; Neale BM; Hveem K; Abecasis GR; Willer CJ; Lee S Nat Genet; 2020 Jun; 52(6):634-639. PubMed ID: 32424355 [TBL] [Abstract][Full Text] [Related]
5. Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes. Bi W; Zhou W; Dey R; Mukherjee B; Sampson JN; Lee S Am J Hum Genet; 2021 May; 108(5):825-839. PubMed ID: 33836139 [TBL] [Abstract][Full Text] [Related]
6. An atlas of genetic associations in UK Biobank. Canela-Xandri O; Rawlik K; Tenesa A Nat Genet; 2018 Nov; 50(11):1593-1599. PubMed ID: 30349118 [TBL] [Abstract][Full Text] [Related]
7. A fast and powerful linear mixed model approach for genotype-environment interaction tests in large-scale GWAS. Zhong W; Chhibber A; Luo L; Mehrotra DV; Shen J Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36545787 [TBL] [Abstract][Full Text] [Related]
8. FastBiCmrMLM: a fast and powerful compressed variance component mixed logistic model for big genomic case-control genome-wide association study. Wang JT; Chang XY; Zhao Q; Zhang YM Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38888457 [TBL] [Abstract][Full Text] [Related]
9. Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes. Williams SG; Byrne DJF; Keavney BD J Hum Genet; 2022 Feb; 67(2):123-125. PubMed ID: 34493817 [TBL] [Abstract][Full Text] [Related]
10. Fast estimation of genetic correlation for biobank-scale data. Wu Y; Burch KS; Ganna A; Pajukanta P; Pasaniuc B; Sankararaman S Am J Hum Genet; 2022 Jan; 109(1):24-32. PubMed ID: 34861179 [TBL] [Abstract][Full Text] [Related]
11. Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data. St-Pierre J; Oualkacha K; Bhatnagar SR Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36708013 [TBL] [Abstract][Full Text] [Related]
12. FiMAP: A fast identity-by-descent mapping test for biobank-scale cohorts. Chen H; Naseri A; Zhi D PLoS Genet; 2023 Dec; 19(12):e1011057. PubMed ID: 38039339 [TBL] [Abstract][Full Text] [Related]
13. Efficient gene-environment interaction tests for large biobank-scale sequencing studies. Wang X; Lim E; Liu CT; Sung YJ; Rao DC; Morrison AC; Boerwinkle E; Manning AK; Chen H Genet Epidemiol; 2020 Nov; 44(8):908-923. PubMed ID: 32864785 [TBL] [Abstract][Full Text] [Related]
14. GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data. Shin J; Lee SH Genome Biol; 2021 Jun; 22(1):183. PubMed ID: 34154633 [TBL] [Abstract][Full Text] [Related]
15. Genome-wide discovery for biomarkers using quantile regression at biobank scale. Wang C; Wang T; Kiryluk K; Wei Y; Aschard H; Ionita-Laza I Nat Commun; 2024 Jul; 15(1):6460. PubMed ID: 39085219 [TBL] [Abstract][Full Text] [Related]
16. A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank. Bi W; Zhao Z; Dey R; Fritsche LG; Mukherjee B; Lee S Am J Hum Genet; 2019 Dec; 105(6):1182-1192. PubMed ID: 31735295 [TBL] [Abstract][Full Text] [Related]
18. Rare variant contribution to human disease in 281,104 UK Biobank exomes. Wang Q; Dhindsa RS; Carss K; Harper AR; Nag A; Tachmazidou I; Vitsios D; Deevi SVV; Mackay A; Muthas D; Hühn M; Monkley S; Olsson H; ; Wasilewski S; Smith KR; March R; Platt A; Haefliger C; Petrovski S Nature; 2021 Sep; 597(7877):527-532. PubMed ID: 34375979 [TBL] [Abstract][Full Text] [Related]
19. Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank. Bi W; Zhou W; Zhang P; Sun Y; Yue W; Lee S Am J Hum Genet; 2023 May; 110(5):762-773. PubMed ID: 37019109 [TBL] [Abstract][Full Text] [Related]
20. Fast kernel-based association testing of non-linear genetic effects for biobank-scale data. Fu B; Pazokitoroudi A; Sudarshan M; Liu Z; Subramanian L; Sankararaman S Nat Commun; 2023 Aug; 14(1):4936. PubMed ID: 37582955 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]