119 related articles for article (PubMed ID: 27271617)
1. A Nonlinear Model for Gene-Based Gene-Environment Interaction.
Sa J; Liu X; He T; Liu G; Cui Y
Int J Mol Sci; 2016 Jun; 17(6):. PubMed ID: 27271617
[TBL] [Abstract][Full Text] [Related]
2. Varying coefficient model for gene-environment interaction: a non-linear look.
Ma S; Yang L; Romero R; Cui Y
Bioinformatics; 2011 Aug; 27(15):2119-26. PubMed ID: 21690105
[TBL] [Abstract][Full Text] [Related]
3. Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis.
Lu M; Lee HS; Hadley D; Huang JZ; Qian X
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1020-8. PubMed ID: 26357039
[TBL] [Abstract][Full Text] [Related]
4. Additive varying-coefficient model for nonlinear gene-environment interactions.
Wu C; Zhong PS; Cui Y
Stat Appl Genet Mol Biol; 2018 Feb; 17(2):. PubMed ID: 29420308
[TBL] [Abstract][Full Text] [Related]
5. Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*.
Pendergrass SA; Verma SS; Hall MA; Holzinger ER; Moore CB; Wallace JR; Dudek SM; Huggins W; Kitchner T; Waudby C; Berg R; Mccarty CA; Ritchie MD
Pac Symp Biocomput; 2015; ():495-505. PubMed ID: 25741542
[TBL] [Abstract][Full Text] [Related]
6. Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression.
Hüls A; Ickstadt K; Schikowski T; Krämer U
BMC Genet; 2017 Jun; 18(1):55. PubMed ID: 28606108
[TBL] [Abstract][Full Text] [Related]
7. A unified set-based test with adaptive filtering for gene-environment interaction analyses.
Liu Q; Chen LS; Nicolae DL; Pierce BL
Biometrics; 2016 Jun; 72(2):629-38. PubMed ID: 26496228
[TBL] [Abstract][Full Text] [Related]
8. An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations.
Lee S; Lozano A; Kambadur P; Xing EP
J Comput Biol; 2016 May; 23(5):372-89. PubMed ID: 27159633
[TBL] [Abstract][Full Text] [Related]
9. A penalized robust semiparametric approach for gene-environment interactions.
Wu C; Shi X; Cui Y; Ma S
Stat Med; 2015 Dec; 34(30):4016-30. PubMed ID: 26239060
[TBL] [Abstract][Full Text] [Related]
10. HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactions.
Choi S; Lee S; Huh I; Hwang H; Park T
Int J Mol Sci; 2020 Sep; 21(18):. PubMed ID: 32937825
[TBL] [Abstract][Full Text] [Related]
11. A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.
Zhou Z; Ku HC; Manning SE; Zhang M; Xing C
Behav Genet; 2023 Jul; 53(4):374-382. PubMed ID: 36622576
[TBL] [Abstract][Full Text] [Related]
12. A unified powerful set-based test for sequencing data analysis of GxE interactions.
Su YR; Di CZ; Hsu L;
Biostatistics; 2017 Jan; 18(1):119-131. PubMed ID: 27474101
[TBL] [Abstract][Full Text] [Related]
13. Jackknife-based gene-gene interactiontests for untyped SNPs.
Song M
BMC Genet; 2015 Jul; 16():85. PubMed ID: 26187382
[TBL] [Abstract][Full Text] [Related]
14. [Gene-based principal component logistic regression model and its application on genome-wide association study].
Yi HG; Wo HM; Zhao Y; Zhang RY; Bai JL; Wei YY; Chen F
Zhonghua Liu Xing Bing Xue Za Zhi; 2012 Jun; 33(6):622-5. PubMed ID: 22883274
[TBL] [Abstract][Full Text] [Related]
15. Gene-Environment Interaction: A Variable Selection Perspective.
Zhou F; Ren J; Lu X; Ma S; Wu C
Methods Mol Biol; 2021; 2212():191-223. PubMed ID: 33733358
[TBL] [Abstract][Full Text] [Related]
16. Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression.
Zhao G; Marceau R; Zhang D; Tzeng JY
Genetics; 2015 Mar; 199(3):695-710. PubMed ID: 25585620
[TBL] [Abstract][Full Text] [Related]
17. Discovering gene-environment interactions in glioblastoma through a comprehensive data integration bioinformatics method.
Kunkle B; Yoo C; Roy D
Neurotoxicology; 2013 Mar; 35():1-14. PubMed ID: 23261424
[TBL] [Abstract][Full Text] [Related]
18. Modelling gene-environment interaction in first episodes of psychosis.
Bernardo M; Bioque M; Cabrera B; Lobo A; González-Pinto A; Pina L; Corripio I; Sanjuán J; Mané A; Castro-Fornieles J; Vieta E; Arango C; Mezquida G; Gassó P; Parellada M; Saiz-Ruiz J; Cuesta MJ; Mas S;
Schizophr Res; 2017 Nov; 189():181-189. PubMed ID: 28179063
[TBL] [Abstract][Full Text] [Related]
19. A multi-SNP association test for complex diseases incorporating an optimal P-value threshold algorithm in nuclear families.
Wang YT; Sung PY; Lin PL; Yu YW; Chung RH
BMC Genomics; 2015 May; 16(1):381. PubMed ID: 25975968
[TBL] [Abstract][Full Text] [Related]
20. Smooth-threshold multivariate genetic prediction incorporating gene-environment interactions.
Ueki M; Tamiya G;
G3 (Bethesda); 2021 Dec; 11(12):. PubMed ID: 34849749
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]