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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 28370330)

  • 1. A combination test for detection of gene-environment interaction in cohort studies.
    Coombes B; Basu S; McGue M
    Genet Epidemiol; 2017 Jul; 41(5):396-412. PubMed ID: 28370330
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regression.
    Frost HR; Andrew AS; Karagas MR; Moore JH
    Pac Symp Biocomput; 2015; ():183-94. PubMed ID: 25592580
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Jackknife-based gene-gene interactiontests for untyped SNPs.
    Song M
    BMC Genet; 2015 Jul; 16():85. PubMed ID: 26187382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A linear mixed model framework for gene-based gene-environment interaction tests in twin studies.
    Coombes BJ; Basu S; McGue M
    Genet Epidemiol; 2018 Oct; 42(7):648-663. PubMed ID: 30203856
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Powerful Set-Based Gene-Environment Interaction Testing Framework for Complex Diseases.
    Jiao S; Peters U; Berndt S; Bézieau S; Brenner H; Campbell PT; Chan AT; Chang-Claude J; Lemire M; Newcomb PA; Potter JD; Slattery ML; Woods MO; Hsu L
    Genet Epidemiol; 2015 Dec; 39(8):609-18. PubMed ID: 26095235
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The case-only test for gene-environment interaction is not uniformly powerful: an empirical example.
    Wu C; Chang J; Ma B; Miao X; Zhou Y; Liu Y; Li Y; Wu T; Hu Z; Shen H; Jia W; Zeng Y; Lin D; Kraft P
    Genet Epidemiol; 2013 May; 37(4):402-7. PubMed ID: 23595356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Using Bayes model averaging to leverage both gene main effects and G ×  E interactions to identify genomic regions in genome-wide association studies.
    Moss LC; Gauderman WJ; Lewinger JP; Conti DV
    Genet Epidemiol; 2019 Mar; 43(2):150-165. PubMed ID: 30456811
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics.
    Kim J; Bai Y; Pan W
    Genet Epidemiol; 2015 Dec; 39(8):651-63. PubMed ID: 26493956
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Allowing for population stratification in case-only studies of gene-environment interaction, using genomic control.
    Yadav P; Freitag-Wolf S; Lieb W; Dempfle A; Krawczak M
    Hum Genet; 2015 Oct; 134(10):1117-25. PubMed ID: 26297539
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multiple linear combination (MLC) regression tests for common variants adapted to linkage disequilibrium structure.
    Yoo YJ; Sun L; Poirier JG; Paterson AD; Bull SB
    Genet Epidemiol; 2017 Feb; 41(2):108-121. PubMed ID: 27885705
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying significant gene-environment interactions using a combination of screening testing and hierarchical false discovery rate control.
    Frost HR; Shen L; Saykin AJ; Williams SM; Moore JH;
    Genet Epidemiol; 2016 Nov; 40(7):544-557. PubMed ID: 27578615
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Powerful cocktail methods for detecting genome-wide gene-environment interaction.
    Hsu L; Jiao S; Dai JY; Hutter C; Peters U; Kooperberg C
    Genet Epidemiol; 2012 Apr; 36(3):183-94. PubMed ID: 22714933
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Test for association of common variants in GRM7 with alcohol consumption.
    Melroy-Greif WE; Vadasz C; Kamens HM; McQueen MB; Corley RP; Stallings MC; Hopfer CJ; Krauter KS; Brown SA; Hewitt JK; Ehringer MA
    Alcohol; 2016 Sep; 55():43-50. PubMed ID: 27788777
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Linear score tests for variance components in linear mixed models and applications to genetic association studies.
    Qu L; Guennel T; Marshall SL
    Biometrics; 2013 Dec; 69(4):883-92. PubMed ID: 24328714
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Gene-Gene and Gene-Environment Interactions.
    DeWan AT
    Methods Mol Biol; 2018; 1793():89-110. PubMed ID: 29876893
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Kernel Approach for Modeling Interaction Effects in Genetic Association Studies of Complex Quantitative Traits.
    Broadaway KA; Duncan R; Conneely KN; Almli LM; Bradley B; Ressler KJ; Epstein MP
    Genet Epidemiol; 2015 Jul; 39(5):366-75. PubMed ID: 25885490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.