BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

340 related articles for article (PubMed ID: 24358248)

  • 1. A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions.
    Fan R; Lo SH
    PLoS One; 2013; 8(12):e83057. PubMed ID: 24358248
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using Genetic Marginal Effects to Study Gene-Environment Interactions with GWAS Data.
    Verhulst B; Pritikin JN; Clifford J; Prom-Wormley E
    Behav Genet; 2021 May; 51(3):358-373. PubMed ID: 33899139
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Identifying rare variants associated with complex traits via sequencing.
    Li B; Liu DJ; Leal SM
    Curr Protoc Hum Genet; 2013 Jul; Chapter 1():Unit 1.26. PubMed ID: 23853079
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting association of rare variants by testing an optimally weighted combination of variants for quantitative traits in general families.
    Fang S; Zhang S; Sha Q
    Ann Hum Genet; 2013 Nov; 77(6):524-34. PubMed ID: 23968488
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved detection of rare genetic variants for diseases.
    Zhang L; Pei YF; Li J; Papasian CJ; Deng HW
    PLoS One; 2010 Nov; 5(11):e13857. PubMed ID: 21079782
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies.
    Hüls A; Krämer U; Carlsten C; Schikowski T; Ickstadt K; Schwender H
    BMC Genet; 2017 Dec; 18(1):115. PubMed ID: 29246113
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Testing gene-environment interactions for rare and/or common variants in sequencing association studies.
    Zhao Z; Zhang J; Sha Q; Hao H
    PLoS One; 2020; 15(3):e0229217. PubMed ID: 32155162
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A two-stage testing strategy for detecting genes×environment interactions in association studies.
    Zhou J; Li S; Zhou Y; Sheng X
    G3 (Bethesda); 2021 Sep; 11(10):. PubMed ID: 34568910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On Robust Association Testing for Quantitative Traits and Rare Variants.
    Wei P; Cao Y; Zhang Y; Xu Z; Kwak IY; Boerwinkle E; Pan W
    G3 (Bethesda); 2016 Dec; 6(12):3941-3950. PubMed ID: 27678522
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust and Powerful Affected Sibpair Test for Rare Variant Association.
    Lin KH; Zöllner S
    Genet Epidemiol; 2015 Jul; 39(5):325-33. PubMed ID: 25966809
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits.
    Crawford L; Zeng P; Mukherjee S; Zhou X
    PLoS Genet; 2017 Jul; 13(7):e1006869. PubMed ID: 28746338
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studies.
    Wang J; Joshi T; Valliyodan B; Shi H; Liang Y; Nguyen HT; Zhang J; Xu D
    BMC Genomics; 2015 Nov; 16():1011. PubMed ID: 26607428
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel genome-information content-based statistic for genome-wide association analysis designed for next-generation sequencing data.
    Luo L; Zhu Y; Xiong M
    J Comput Biol; 2012 Jun; 19(6):731-44. PubMed ID: 22651812
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Likelihood-based complex trait association testing for arbitrary depth sequencing data.
    Yan S; Yuan S; Xu Z; Zhang B; Zhang B; Kang G; Byrnes A; Li Y
    Bioinformatics; 2015 Sep; 31(18):2955-62. PubMed ID: 25979475
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Association score testing for rare variants and binary traits in family data with shared controls.
    Saad M; Wijsman EM
    Brief Bioinform; 2019 Jan; 20(1):245-253. PubMed ID: 28968627
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Rapid testing of gene-gene interactions in genome-wide association studies of binary and quantitative phenotypes.
    Bhattacharya K; McCarthy MI; Morris AP
    Genet Epidemiol; 2011 Dec; 35(8):800-8. PubMed ID: 21948692
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weighted selective collapsing strategy for detecting rare and common variants in genetic association study.
    Dai Y; Jiang R; Dong J
    BMC Genet; 2012 Feb; 13():7. PubMed ID: 22309429
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 17.