BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 23738568)

  • 1. The admixture maximum likelihood test to test for association between rare variants and disease phenotypes.
    Tyrer JP; Guo Q; Easton DF; Pharoah PD
    BMC Bioinformatics; 2013 Jun; 14():177. PubMed ID: 23738568
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Comparison Study of Fixed and Mixed Effect Models for Gene Level Association Studies of Complex Traits.
    Fan R; Chiu CY; Jung J; Weeks DE; Wilson AF; Bailey-Wilson JE; Amos CI; Chen Z; Mills JL; Xiong M
    Genet Epidemiol; 2016 Dec; 40(8):702-721. PubMed ID: 27374056
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.
    Lee S; Emond MJ; Bamshad MJ; Barnes KC; Rieder MJ; Nickerson DA; ; Christiani DC; Wurfel MM; Lin X
    Am J Hum Genet; 2012 Aug; 91(2):224-37. PubMed ID: 22863193
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Likelihood ratio tests in rare variant detection for continuous phenotypes.
    Zeng P; Zhao Y; Liu J; Liu L; Zhang L; Wang T; Huang S; Chen F
    Ann Hum Genet; 2014 Sep; 78(5):320-32. PubMed ID: 25117149
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimal tests for rare variant effects in sequencing association studies.
    Lee S; Wu MC; Lin X
    Biostatistics; 2012 Sep; 13(4):762-75. PubMed ID: 22699862
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluating the Calibration and Power of Three Gene-Based Association Tests of Rare Variants for the X Chromosome.
    Ma C; Boehnke M; Lee S;
    Genet Epidemiol; 2015 Nov; 39(7):499-508. PubMed ID: 26454253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico.
    Zhang X; Basile AO; Pendergrass SA; Ritchie MD
    BMC Bioinformatics; 2019 Jan; 20(1):46. PubMed ID: 30669967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison study of multivariate fixed models and Gene Association with Multiple Traits (GAMuT) for next-generation sequencing.
    Chiu CY; Jung J; Wang Y; Weeks DE; Wilson AF; Bailey-Wilson JE; Amos CI; Mills JL; Boehnke M; Xiong M; Fan R
    Genet Epidemiol; 2017 Jan; 41(1):18-34. PubMed ID: 27917525
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Rare-variant association testing for sequencing data with the sequence kernel association test.
    Wu MC; Lee S; Cai T; Li Y; Boehnke M; Lin X
    Am J Hum Genet; 2011 Jul; 89(1):82-93. PubMed ID: 21737059
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A powerful association test of multiple genetic variants using a random-effects model.
    Cheng KF; Lee JY; Zheng W; Li C
    Stat Med; 2014 May; 33(11):1816-27. PubMed ID: 24338936
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships.
    Zhang Q; Guldbrandtsen B; Calus MP; Lund MS; Sahana G
    Genet Sel Evol; 2016 Aug; 48(1):60. PubMed ID: 27534618
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-SKAT: General framework to test for rare-variant association with multiple phenotypes.
    Dutta D; Scott L; Boehnke M; Lee S
    Genet Epidemiol; 2019 Feb; 43(1):4-23. PubMed ID: 30298564
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Functional linear models for association analysis of quantitative traits.
    Fan R; Wang Y; Mills JL; Wilson AF; Bailey-Wilson JE; Xiong M
    Genet Epidemiol; 2013 Nov; 37(7):726-42. PubMed ID: 24130119
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Powerful rare variant association testing in a copula-based joint analysis of multiple phenotypes.
    Konigorski S; Yilmaz YE; Janke J; Bergmann MM; Boeing H; Pischon T
    Genet Epidemiol; 2020 Jan; 44(1):26-40. PubMed ID: 31732979
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reconsidering association testing methods using single-variant test statistics as alternatives to pooling tests for sequence data with rare variants.
    Kinnamon DD; Hershberger RE; Martin ER
    PLoS One; 2012; 7(2):e30238. PubMed ID: 22363423
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets.
    Cai X; Chang LB; Potter J; Song C
    BMC Med Genomics; 2020 Apr; 13(Suppl 5):46. PubMed ID: 32241265
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rare variant association testing for next-generation sequencing data via hierarchical clustering.
    Tachmazidou I; Morris A; Zeggini E
    Hum Hered; 2012; 74(3-4):165-71. PubMed ID: 23594494
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust rare variant association testing for quantitative traits in samples with related individuals.
    Jiang D; McPeek MS
    Genet Epidemiol; 2014 Jan; 38(1):10-20. PubMed ID: 24248908
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rare variant association test with multiple phenotypes.
    Lee S; Won S; Kim YJ; Kim Y; ; Kim BJ; Park T
    Genet Epidemiol; 2017 Apr; 41(3):198-209. PubMed ID: 28039885
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sequence kernel association tests for the combined effect of rare and common variants.
    Ionita-Laza I; Lee S; Makarov V; Buxbaum JD; Lin X
    Am J Hum Genet; 2013 Jun; 92(6):841-53. PubMed ID: 23684009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.