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 *

113 related articles for article (PubMed ID: 24311199)

  • 21. Genome-Wide Association Analyses in the Model Rhizobium
    Epstein B; Abou-Shanab RAI; Shamseldin A; Taylor MR; Guhlin J; Burghardt LT; Nelson M; Sadowsky MJ; Tiffin P
    mSphere; 2018 Oct; 3(5):. PubMed ID: 30355664
    [TBL] [Abstract][Full Text] [Related]  

  • 22. USAT: A Unified Score-Based Association Test for Multiple Phenotype-Genotype Analysis.
    Ray D; Pankow JS; Basu S
    Genet Epidemiol; 2016 Jan; 40(1):20-34. PubMed ID: 26638693
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Case-control studies of gene-environment interactions. When a case might not be the case.
    Lobach I; Sampson J; Alekseyenko A; Lobach S; Zhang L
    PLoS One; 2018; 13(8):e0201140. PubMed ID: 30133451
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Heritability in the genome-wide association era.
    Zaitlen N; Kraft P
    Hum Genet; 2012 Oct; 131(10):1655-64. PubMed ID: 22821350
    [TBL] [Abstract][Full Text] [Related]  

  • 25. GW-SEM: A Statistical Package to Conduct Genome-Wide Structural Equation Modeling.
    Verhulst B; Maes HH; Neale MC
    Behav Genet; 2017 May; 47(3):345-359. PubMed ID: 28299468
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Molecular genetic studies of complex phenotypes.
    Marian AJ
    Transl Res; 2012 Feb; 159(2):64-79. PubMed ID: 22243791
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations.
    Wang T; Zhou B; Guo T; Bidlingmaier M; Wallaschofski H; Teumer A; Vasan RS; Kaplan RC
    Genet Epidemiol; 2014 Feb; 38(2):162-71. PubMed ID: 24446417
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Power analysis of transcriptome-wide association study: Implications for practical protocol choice.
    Cao C; Ding B; Li Q; Kwok D; Wu J; Long Q
    PLoS Genet; 2021 Feb; 17(2):e1009405. PubMed ID: 33635859
    [TBL] [Abstract][Full Text] [Related]  

  • 30. PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.
    Ried JS; Döring A; Oexle K; Meisinger C; Winkelmann J; Klopp N; Meitinger T; Peters A; Suhre K; Wichmann HE; Gieger C
    Genet Epidemiol; 2012 Apr; 36(3):244-52. PubMed ID: 22714936
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Genome-wide association analysis for multiple continuous secondary phenotypes.
    Schifano ED; Li L; Christiani DC; Lin X
    Am J Hum Genet; 2013 May; 92(5):744-59. PubMed ID: 23643383
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (
    Carlson MO; Montilla-Bascon G; Hoekenga OA; Tinker NA; Poland J; Baseggio M; Sorrells ME; Jannink JL; Gore MA; Yeats TH
    G3 (Bethesda); 2019 Sep; 9(9):2963-2975. PubMed ID: 31296616
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Multivariate behavioral genetic analysis of twin data on scholastic abilities.
    Plomin R; DeFries JC
    Behav Genet; 1979 Nov; 9(6):505-17. PubMed ID: 263636
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A note on false positives and power in G × E modelling of twin data.
    van der Sluis S; Posthuma D; Dolan CV
    Behav Genet; 2012 Jan; 42(1):170-86. PubMed ID: 21748401
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Pattern discovery of multivariate phenotypes by association rule mining and its scheme for genome-wide association studies.
    Park SH; Kim S
    Int J Data Min Bioinform; 2012; 6(5):505-20. PubMed ID: 23155779
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Twin studies and their implications for molecular genetic studies: endophenotypes integrate quantitative and molecular genetics in ADHD research.
    Wood AC; Neale MC
    J Am Acad Child Adolesc Psychiatry; 2010 Sep; 49(9):874-83. PubMed ID: 20732624
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.
    Boardman JD; Domingue BW; Blalock CL; Haberstick BC; Harris KM; McQueen MB
    Demography; 2014 Feb; 51(1):119-39. PubMed ID: 24281739
    [TBL] [Abstract][Full Text] [Related]  

  • 38. GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes.
    Nieuwboer HA; Pool R; Dolan CV; Boomsma DI; Nivard MG
    Am J Hum Genet; 2016 Oct; 99(4):917-927. PubMed ID: 27616482
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A system-level pathway-phenotype association analysis using synthetic feature random forest.
    Pan Q; Hu T; Malley JD; Andrew AS; Karagas MR; Moore JH
    Genet Epidemiol; 2014 Apr; 38(3):209-19. PubMed ID: 24535726
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Using the tools of genetic epidemiology to understand sex differences in neuropsychiatric disorders.
    Merikangas AK; Almasy L
    Genes Brain Behav; 2020 Jul; 19(6):e12660. PubMed ID: 32348611
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.