144 related articles for article (PubMed ID: 31865312)
1. Meta-Analysis of SNP-Environment Interaction with Heterogeneity.
Jin Q; Shi G
Hum Hered; 2019; 84(3):117-126. PubMed ID: 31865312
[TBL] [Abstract][Full Text] [Related]
2. Meta-Analysis of Joint Test of SNP and SNP-Environment Interaction with Heterogeneity.
Jin Q; Shi G
Hum Hered; 2021; 86(1-4):1-9. PubMed ID: 34700323
[TBL] [Abstract][Full Text] [Related]
3. Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data.
Jin Q; Shi G
Sci Rep; 2021 Jan; 11(1):2590. PubMed ID: 33510406
[TBL] [Abstract][Full Text] [Related]
4. A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis.
Shi J; Lee S
Biometrics; 2016 Sep; 72(3):945-54. PubMed ID: 26916671
[TBL] [Abstract][Full Text] [Related]
5. Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effects.
Aschard H; Hancock DB; London SJ; Kraft P
Hum Hered; 2010; 70(4):292-300. PubMed ID: 21293137
[TBL] [Abstract][Full Text] [Related]
6. METAINTER: meta-analysis of multiple regression models in genome-wide association studies.
Vaitsiakhovich T; Drichel D; Herold C; Lacour A; Becker T
Bioinformatics; 2015 Jan; 31(2):151-7. PubMed ID: 25252781
[TBL] [Abstract][Full Text] [Related]
7. Test for interactions between a genetic marker set and environment in generalized linear models.
Lin X; Lee S; Christiani DC; Lin X
Biostatistics; 2013 Sep; 14(4):667-81. PubMed ID: 23462021
[TBL] [Abstract][Full Text] [Related]
8. The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits.
Li S; Mukherjee B; Taylor JM; Rice KM; Wen X; Rice JD; Stringham HM; Boehnke M
Genet Epidemiol; 2014 Jul; 38(5):416-29. PubMed ID: 24801060
[TBL] [Abstract][Full Text] [Related]
9. Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene-environment interaction effect.
Zhao N; Zhang H; Clark JJ; Maity A; Wu MC
Biometrics; 2019 Jun; 75(2):625-637. PubMed ID: 30430548
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.
Manning AK; LaValley M; Liu CT; Rice K; An P; Liu Y; Miljkovic I; Rasmussen-Torvik L; Harris TB; Province MA; Borecki IB; Florez JC; Meigs JB; Cupples LA; Dupuis J
Genet Epidemiol; 2011 Jan; 35(1):11-8. PubMed ID: 21181894
[TBL] [Abstract][Full Text] [Related]
11. Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes.
Yu Y; Xia L; Lee S; Zhou X; Stringham HM; Boehnke M; Mukherjee B
Hum Hered; 2018; 83(6):283-314. PubMed ID: 31132756
[TBL] [Abstract][Full Text] [Related]
12. Meta-analysis of SNPs involved in variance heterogeneity using Levene's test for equal variances.
Deng WQ; Asma S; Paré G
Eur J Hum Genet; 2014 Mar; 22(3):427-30. PubMed ID: 23921533
[TBL] [Abstract][Full Text] [Related]
13. A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations.
Wang T; Zhou B; Guo T; Bidlingmaier M; Wallaschofski H; Teumer A; Vasan RS; Kaplan RC
Genet Epidemiol; 2014 Feb; 38(2):162-71. PubMed ID: 24446417
[TBL] [Abstract][Full Text] [Related]
14. Meta-Analysis of SNP-Environment Interaction With Overlapping Data.
Jin Q; Shi G
Front Genet; 2019; 10():1400. PubMed ID: 32082364
[TBL] [Abstract][Full Text] [Related]
15. Variance-component-based meta-analysis of gene-environment interactions for rare variants.
Jin X; Shi G
G3 (Bethesda); 2021 Sep; 11(9):. PubMed ID: 34544119
[TBL] [Abstract][Full Text] [Related]
16. On meta- and mega-analyses for gene-environment interactions.
Huang J; Liu Y; Vitale S; Penning TM; Whitehead AS; Blair IA; Vachani A; Clapper ML; Muscat JE; Lazarus P; Scheet P; Moore JH; Chen Y
Genet Epidemiol; 2017 Dec; 41(8):876-886. PubMed ID: 29110346
[TBL] [Abstract][Full Text] [Related]
17. Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse.
Nakaoka H; Inoue I
J Hum Genet; 2009 Nov; 54(11):615-23. PubMed ID: 19851339
[TBL] [Abstract][Full Text] [Related]
18. Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study.
Zhang P; Lewinger JP; Conti D; Morrison JL; Gauderman WJ
Genet Epidemiol; 2016 Jul; 40(5):394-403. PubMed ID: 27230133
[TBL] [Abstract][Full Text] [Related]
19. Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models.
Veturi Y; de Los Campos G; Yi N; Huang W; Vazquez AI; Kühnel B
Genetics; 2019 Apr; 211(4):1395-1407. PubMed ID: 30796011
[TBL] [Abstract][Full Text] [Related]
20. Dealing with heterogeneity between cohorts in genomewide SNP association studies.
Lebrec JJ; Stijnen T; van Houwelingen HC
Stat Appl Genet Mol Biol; 2010; 9():Article 8. PubMed ID: 20196758
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]