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.
186 related articles for article (PubMed ID: 25387525)
1. Further improvements to linear mixed models for genome-wide association studies. Widmer C; Lippert C; Weissbrod O; Fusi N; Kadie C; Davidson R; Listgarten J; Heckerman D Sci Rep; 2014 Nov; 4():6874. PubMed ID: 25387525 [TBL] [Abstract][Full Text] [Related]
2. Comparison of methods to account for relatedness in genome-wide association studies with family-based data. Eu-Ahsunthornwattana J; Miller EN; Fakiola M; ; Jeronimo SM; Blackwell JM; Cordell HJ PLoS Genet; 2014 Jul; 10(7):e1004445. PubMed ID: 25033443 [TBL] [Abstract][Full Text] [Related]
3. Conditional random fields for fast, large-scale genome-wide association studies. Huang JC; Meek C; Kadie C; Heckerman D PLoS One; 2011; 6(7):e21591. PubMed ID: 21765897 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Principal component regression and linear mixed model in association analysis of structured samples: competitors or complements? Zhang Y; Pan W Genet Epidemiol; 2015 Mar; 39(3):149-55. PubMed ID: 25536929 [TBL] [Abstract][Full Text] [Related]
6. Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models. Bhatnagar SR; Yang Y; Lu T; Schurr E; Loredo-Osti JC; Forest M; Oualkacha K; Greenwood CMT PLoS Genet; 2020 May; 16(5):e1008766. PubMed ID: 32365090 [TBL] [Abstract][Full Text] [Related]
7. Hybrid of Restricted and Penalized Maximum Likelihood Method for Efficient Genome-Wide Association Study. Ren W; Liang Z; He S; Xiao J Genes (Basel); 2020 Oct; 11(11):. PubMed ID: 33138126 [TBL] [Abstract][Full Text] [Related]
8. A Lasso multi-marker mixed model for association mapping with population structure correction. Rakitsch B; Lippert C; Stegle O; Borgwardt K Bioinformatics; 2013 Jan; 29(2):206-14. PubMed ID: 23175758 [TBL] [Abstract][Full Text] [Related]
10. Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio. Lloyd-Jones LR; Robinson MR; Yang J; Visscher PM Genetics; 2018 Apr; 208(4):1397-1408. PubMed ID: 29429966 [TBL] [Abstract][Full Text] [Related]
11. Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling. Onifade M; Roy-Gagnon MH; Parent MÉ; Burkett KM BMC Genomics; 2022 Feb; 23(1):98. PubMed ID: 35120458 [TBL] [Abstract][Full Text] [Related]
12. lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals. Ziyatdinov A; Vázquez-Santiago M; Brunel H; Martinez-Perez A; Aschard H; Soria JM BMC Bioinformatics; 2018 Feb; 19(1):68. PubMed ID: 29486711 [TBL] [Abstract][Full Text] [Related]
13. Genome-wide barebones regression scan for mixed-model association analysis. Gao J; Zhou X; Hao Z; Jiang L; Yang R Theor Appl Genet; 2020 Jan; 133(1):51-58. PubMed ID: 31552442 [TBL] [Abstract][Full Text] [Related]
14. Genome-Wide Association Study for Major Biofuel Traits in Sorghum Using Minicore Collection. Rayaprolu L; Selvanayagam S; Rao DM; Gupta R; Das RR; Rathore A; Gandham P; Kiranmayee KNSU; Deshpande SP; Are AK Protein Pept Lett; 2021; 28(8):909-928. PubMed ID: 33588716 [TBL] [Abstract][Full Text] [Related]
15. Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix. Wang S; Ge S; Sobkowiak B; Wang L; Grandjean L; Colijn C; Elliott LT J Comput Biol; 2023 Feb; 30(2):189-203. PubMed ID: 36374242 [TBL] [Abstract][Full Text] [Related]
16. Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies. Park JY; Wu C; Basu S; McGue M; Pan W Behav Genet; 2018 Jan; 48(1):55-66. PubMed ID: 29150721 [TBL] [Abstract][Full Text] [Related]
17. Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. Nguyen TT; Huang J; Wu Q; Nguyen T; Li M BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S5. PubMed ID: 25708662 [TBL] [Abstract][Full Text] [Related]
18. Limitations of principal components in quantitative genetic association models for human studies. Yao Y; Ochoa A Elife; 2023 May; 12():. PubMed ID: 37140344 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Mixture SNPs effect on phenotype in genome-wide association studies. Wang L; Shen H; Liu H; Guo G BMC Genomics; 2015 Feb; 16(1):3. PubMed ID: 25649116 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]