275 related articles for article (PubMed ID: 36708013)
1. 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]
2. 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]
3. 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]
4. Efficient Implementation of Penalized Regression for Genetic Risk Prediction.
Privé F; Aschard H; Blum MGB
Genetics; 2019 May; 212(1):65-74. PubMed ID: 30808621
[TBL] [Abstract][Full Text] [Related]
5. Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.
Guo B; Wu B
Bioinformatics; 2019 Jul; 35(13):2251-2257. PubMed ID: 30476000
[TBL] [Abstract][Full Text] [Related]
6. A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction.
Wang X; Wen Y
Bioinformatics; 2022 Nov; 38(23):5222-5228. PubMed ID: 36205617
[TBL] [Abstract][Full Text] [Related]
7. Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models.
Chen H; Wang C; Conomos MP; Stilp AM; Li Z; Sofer T; Szpiro AA; Chen W; Brehm JM; Celedón JC; Redline S; Papanicolaou GJ; Thornton TA; Laurie CC; Rice K; Lin X
Am J Hum Genet; 2016 Apr; 98(4):653-66. PubMed ID: 27018471
[TBL] [Abstract][Full Text] [Related]
8. Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes.
Chung W; Chen J; Turman C; Lindstrom S; Zhu Z; Loh PR; Kraft P; Liang L
Nat Commun; 2019 Feb; 10(1):569. PubMed ID: 30718517
[TBL] [Abstract][Full Text] [Related]
9. Penalized linear mixed models for structured genetic data.
Reisetter AC; Breheny P
Genet Epidemiol; 2021 Jul; 45(5):427-444. PubMed ID: 33998038
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops.
Lozano AC; Ding H; Abe N; Lipka AE
BMC Bioinformatics; 2023 Oct; 24(1):399. PubMed ID: 37884874
[TBL] [Abstract][Full Text] [Related]
12. Iterative hard thresholding for model selection in genome-wide association studies.
Keys KL; Chen GK; Lange K
Genet Epidemiol; 2017 Dec; 41(8):756-768. PubMed ID: 28875524
[TBL] [Abstract][Full Text] [Related]
13. A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank.
Qian J; Tanigawa Y; Du W; Aguirre M; Chang C; Tibshirani R; Rivas MA; Hastie T
PLoS Genet; 2020 Oct; 16(10):e1009141. PubMed ID: 33095761
[TBL] [Abstract][Full Text] [Related]
14. Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions.
John M; Ankenbrand MJ; Artmann C; Freudenthal JA; Korte A; Grimm DG
Bioinformatics; 2022 Sep; 38(Suppl_2):ii5-ii12. PubMed ID: 36124808
[TBL] [Abstract][Full Text] [Related]
15. SNP selection in genome-wide and candidate gene studies via penalized logistic regression.
Ayers KL; Cordell HJ
Genet Epidemiol; 2010 Dec; 34(8):879-91. PubMed ID: 21104890
[TBL] [Abstract][Full Text] [Related]
16. The impact of disregarding family structure on genome-wide association analysis of complex diseases in cohorts with simple pedigrees.
Nazarian A; Arbeev KG; Kulminski AM
J Appl Genet; 2020 Feb; 61(1):75-86. PubMed ID: 31755004
[TBL] [Abstract][Full Text] [Related]
17. Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection.
Ueki M; Tamiya G;
Genet Epidemiol; 2016 Apr; 40(3):233-43. PubMed ID: 26947266
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Fast Algorithms for Conducting Large-Scale GWAS of Age-at-Onset Traits Using Cox Mixed-Effects Models.
He L; Kulminski AM
Genetics; 2020 May; 215(1):41-58. PubMed ID: 32132097
[TBL] [Abstract][Full Text] [Related]
20. A scalable estimator of SNP heritability for biobank-scale data.
Wu Y; Sankararaman S
Bioinformatics; 2018 Jul; 34(13):i187-i194. PubMed ID: 29950019
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
