BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 32779262)

  • 1. A framework for pathway knowledge driven prioritization in genome-wide association studies.
    Biswas S; Pal S; Majumder PP; Bhattacharjee S
    Genet Epidemiol; 2020 Nov; 44(8):841-853. PubMed ID: 32779262
    [TBL] [Abstract][Full Text] [Related]  

  • 2. iFunMed: Integrative functional mediation analysis of GWAS and eQTL studies.
    Rojo C; Zhang Q; Keleş S
    Genet Epidemiol; 2019 Oct; 43(7):742-760. PubMed ID: 31328826
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Uncovering networks from genome-wide association studies via circular genomic permutation.
    Cabrera CP; Navarro P; Huffman JE; Wright AF; Hayward C; Campbell H; Wilson JF; Rudan I; Hastie ND; Vitart V; Haley CS
    G3 (Bethesda); 2012 Sep; 2(9):1067-75. PubMed ID: 22973544
    [TBL] [Abstract][Full Text] [Related]  

  • 4. snpGeneSets: An R Package for Genome-Wide Study Annotation.
    Mei H; Li L; Jiang F; Simino J; Griswold M; Mosley T; Liu S
    G3 (Bethesda); 2016 Dec; 6(12):4087-4095. PubMed ID: 27807048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A knowledge-based weighting framework to boost the power of genome-wide association studies.
    Li MX; Sham PC; Cherny SS; Song YQ
    PLoS One; 2010 Dec; 5(12):e14480. PubMed ID: 21217833
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseases.
    Li Y; Kellis M
    Nucleic Acids Res; 2016 Oct; 44(18):e144. PubMed ID: 27407109
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes.
    Sobczyk MK; Gaunt TR; Paternoster L
    Bioinformatics; 2021 Apr; 37(1):1-8. PubMed ID: 33836063
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle.
    Cai Z; Guldbrandtsen B; Lund MS; Sahana G
    Genet Sel Evol; 2019 May; 51(1):20. PubMed ID: 31077144
    [TBL] [Abstract][Full Text] [Related]  

  • 9. GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation.
    Chung D; Yang C; Li C; Gelernter J; Zhao H
    PLoS Genet; 2014 Nov; 10(11):e1004787. PubMed ID: 25393678
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improving power of genome-wide association studies with weighted false discovery rate control and prioritized subset analysis.
    Lin WY; Lee WC
    PLoS One; 2012; 7(4):e33716. PubMed ID: 22496761
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association Studies.
    Lu Q; Powles RL; Wang Q; He BJ; Zhao H
    PLoS Genet; 2016 Apr; 12(4):e1005947. PubMed ID: 27058395
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.
    Merelli I; Calabria A; Cozzi P; Viti F; Mosca E; Milanesi L
    BMC Bioinformatics; 2013; 14 Suppl 1(Suppl 1):S9. PubMed ID: 23369106
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TS: a powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data.
    Zhang J; Guo X; Gonzales S; Yang J; Wang X
    BMC Bioinformatics; 2020 May; 21(1):172. PubMed ID: 32366212
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrating pathway analysis and genetics of gene expression for genome-wide association studies.
    Zhong H; Yang X; Kaplan LM; Molony C; Schadt EE
    Am J Hum Genet; 2010 Apr; 86(4):581-91. PubMed ID: 20346437
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Genome-wide genetic analyses highlight mitogen-activated protein kinase (MAPK) signaling in the pathogenesis of endometriosis.
    Uimari O; Rahmioglu N; Nyholt DR; Vincent K; Missmer SA; Becker C; Morris AP; Montgomery GW; Zondervan KT
    Hum Reprod; 2017 Apr; 32(4):780-793. PubMed ID: 28333195
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hierarchical structural component model for pathway analysis of common variants.
    Jiang N; Lee S; Park T
    BMC Med Genomics; 2020 Feb; 13(Suppl 3):26. PubMed ID: 32093692
    [TBL] [Abstract][Full Text] [Related]  

  • 17. FunSPU: A versatile and adaptive multiple functional annotation-based association test of whole-genome sequencing data.
    Ma Y; Wei P
    PLoS Genet; 2019 Apr; 15(4):e1008081. PubMed ID: 31034468
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms.
    Fine RS; Pers TH; Amariuta T; Raychaudhuri S; Hirschhorn JN
    Am J Hum Genet; 2019 Jun; 104(6):1025-1039. PubMed ID: 31056107
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene prioritization based on biological plausibility over genome wide association studies renders new loci associated with type 2 diabetes.
    Sookoian S; Gianotti TF; Schuman M; Pirola CJ
    Genet Med; 2009 May; 11(5):338-43. PubMed ID: 19346957
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Functional annotation signatures of disease susceptibility loci improve SNP association analysis.
    Iversen ES; Lipton G; Clyde MA; Monteiro AN
    BMC Genomics; 2014 May; 15(1):398. PubMed ID: 24886216
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.