47 related articles for article (PubMed ID: 35582816)
1. 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]
2. 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]
3. Partial linear varying multi-index coefficient model for integrative gene-environment interactions.
Liu X; Cui Y; Li R
Stat Sin; 2016 Jul; 26():1037-1060. PubMed ID: 27667907
[TBL] [Abstract][Full Text] [Related]
4. Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model.
Wu C; Cui Y; Ma S
Stat Med; 2014 Dec; 33(28):4988-98. PubMed ID: 25146388
[TBL] [Abstract][Full Text] [Related]
5. A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables.
Hecker J; Prokopenko D; Moll M; Lee S; Kim W; Qiao D; Voorhies K; Kim W; Vansteelandt S; Hobbs BD; Cho MH; Silverman EK; Lutz SM; DeMeo DL; Weiss ST; Lange C
PLoS Genet; 2022 Nov; 18(11):e1010464. PubMed ID: 36383614
[TBL] [Abstract][Full Text] [Related]
6. Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures.
Tao Y; Sánchez BN; Mukherjee B
Stat Med; 2015 Mar; 34(7):1227-41. PubMed ID: 25545894
[TBL] [Abstract][Full Text] [Related]
7. A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines.
Zhu W; Zhang H
Front Math China; 2013 Jun; 8(3):731-743. PubMed ID: 25309585
[TBL] [Abstract][Full Text] [Related]
8. Nonparametric Estimates of Gene × Environment Interaction Using Local Structural Equation Modeling.
Briley DA; Harden KP; Bates TC; Tucker-Drob EM
Behav Genet; 2015 Sep; 45(5):581-96. PubMed ID: 26318287
[TBL] [Abstract][Full Text] [Related]
9. Modeling Multiple Responses via Bootstrapping Margins with an Application to Genetic Association Testing.
Zhao J; Zhang H
Stat Interface; 2016; 9(1):47-56. PubMed ID: 26543519
[TBL] [Abstract][Full Text] [Related]
10. Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies.
He Z; Zhang M; Lee S; Smith JA; Kardia SLR; Diez Roux AV; Mukherjee B
J Am Stat Assoc; 2017; 112(519):966-978. PubMed ID: 29780190
[TBL] [Abstract][Full Text] [Related]
11. A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines.
Zhu W; Cho K; Chen X; Zhang M; Wang M; Zhang H
BMC Proc; 2009 Dec; 3 Suppl 7(Suppl 7):S119. PubMed ID: 20017984
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Multivariate dimensionality reduction approaches to identify gene-gene and gene-environment interactions underlying multiple complex traits.
Xu HM; Sun XW; Qi T; Lin WY; Liu N; Lou XY
PLoS One; 2014; 9(9):e108103. PubMed ID: 25259584
[TBL] [Abstract][Full Text] [Related]
14. A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data.
Wang P; Rahman M; Jin L; Xiong M
BMC Genomics; 2016 Nov; 17(1):881. PubMed ID: 27821073
[TBL] [Abstract][Full Text] [Related]
15. Multivariate phenotype association analysis by marker-set kernel machine regression.
Maity A; Sullivan PF; Tzeng JY
Genet Epidemiol; 2012 Nov; 36(7):686-95. PubMed ID: 22899176
[TBL] [Abstract][Full Text] [Related]
16. Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits.
Wang H; Zhang J; Klump KL; Alexandra Burt S; Cui Y
Stat Med; 2022 Aug; 41(19):3643-3660. PubMed ID: 35582816
[TBL] [Abstract][Full Text] [Related]
17. 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]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]