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 *

142 related articles for article (PubMed ID: 23423149)

  • 1. SYMPHONY, an information-theoretic method for gene-gene and gene-environment interaction analysis of disease syndromes.
    Knights J; Yang J; Chanda P; Zhang A; Ramanathan M
    Heredity (Edinb); 2013 Jun; 110(6):548-59. PubMed ID: 23423149
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits.
    Chanda P; Sucheston L; Liu S; Zhang A; Ramanathan M
    BMC Genomics; 2009 Nov; 10():509. PubMed ID: 19889230
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Information-theoretic metrics for visualizing gene-environment interactions.
    Chanda P; Zhang A; Brazeau D; Sucheston L; Freudenheim JL; Ambrosone C; Ramanathan M
    Am J Hum Genet; 2007 Nov; 81(5):939-63. PubMed ID: 17924337
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling of environmental and genetic interactions with AMBROSIA, an information-theoretic model synthesis method.
    Chanda P; Zhang A; Ramanathan M
    Heredity (Edinb); 2011 Oct; 107(4):320-7. PubMed ID: 21427755
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of information-theoretic to statistical methods for gene-gene interactions in the presence of genetic heterogeneity.
    Sucheston L; Chanda P; Zhang A; Tritchler D; Ramanathan M
    BMC Genomics; 2010 Sep; 11():487. PubMed ID: 20815886
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors.
    Chanda P; Sucheston L; Zhang A; Ramanathan M
    Eur J Hum Genet; 2009 Oct; 17(10):1274-86. PubMed ID: 19293841
    [TBL] [Abstract][Full Text] [Related]  

  • 7. AMBIENCE: a novel approach and efficient algorithm for identifying informative genetic and environmental associations with complex phenotypes.
    Chanda P; Sucheston L; Zhang A; Brazeau D; Freudenheim JL; Ambrosone C; Ramanathan M
    Genetics; 2008 Oct; 180(2):1191-210. PubMed ID: 18780753
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An information theory analysis of gene-environmental interactions in count/rate data.
    Knights J; Ramanathan M
    Hum Hered; 2012; 73(3):123-38. PubMed ID: 22614786
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gene-gene and gene-environment interactions in complex traits in yeast.
    Yadav A; Sinha H
    Yeast; 2018 Jun; 35(6):403-416. PubMed ID: 29322552
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detecting Genetic Interactions for Quantitative Traits Using m-Spacing Entropy Measure.
    Yee J; Kwon MS; Jin S; Park T; Park M
    Biomed Res Int; 2015; 2015():523641. PubMed ID: 26339620
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Gene-based testing of interactions in association studies of quantitative traits.
    Ma L; Clark AG; Keinan A
    PLoS Genet; 2013; 9(2):e1003321. PubMed ID: 23468652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Genome-wide interaction analysis of quantitative traits in outbred mice.
    Ma W; Yuan C; Liu H; Zheng W; Zhou Y
    Genet Res (Camb); 2015 Apr; 97():e9. PubMed ID: 25891327
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. An atlas of genetic correlations across human diseases and traits.
    Bulik-Sullivan B; Finucane HK; Anttila V; Gusev A; Day FR; Loh PR; ; ; ; Duncan L; Perry JR; Patterson N; Robinson EB; Daly MJ; Price AL; Neale BM
    Nat Genet; 2015 Nov; 47(11):1236-41. PubMed ID: 26414676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying quantitative trait locus by genetic background interactions in association studies.
    Jannink JL
    Genetics; 2007 May; 176(1):553-61. PubMed ID: 17179077
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting epistatic interactions contributing to quantitative traits.
    Culverhouse R; Klein T; Shannon W
    Genet Epidemiol; 2004 Sep; 27(2):141-52. PubMed ID: 15305330
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of SNP epistasis effects of quantitative traits using an extended Kempthorne model.
    Mao Y; London NR; Ma L; Dvorkin D; Da Y
    Physiol Genomics; 2006 Dec; 28(1):46-52. PubMed ID: 16940430
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Joint genetic analysis using variant sets reveals polygenic gene-context interactions.
    Casale FP; Horta D; Rakitsch B; Stegle O
    PLoS Genet; 2017 Apr; 13(4):e1006693. PubMed ID: 28426829
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank.
    Wang H; Zhang F; Zeng J; Wu Y; Kemper KE; Xue A; Zhang M; Powell JE; Goddard ME; Wray NR; Visscher PM; McRae AF; Yang J
    Sci Adv; 2019 Aug; 5(8):eaaw3538. PubMed ID: 31453325
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.