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 *

221 related articles for article (PubMed ID: 30307540)

  • 1. Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
    Dai M; Wan X; Peng H; Wang Y; Liu Y; Liu J; Xu Z; Yang C
    Bioinformatics; 2019 May; 35(10):1729-1736. PubMed ID: 30307540
    [TBL] [Abstract][Full Text] [Related]  

  • 2. IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
    Dai M; Ming J; Cai M; Liu J; Yang C; Wan X; Xu Z
    Bioinformatics; 2017 Sep; 33(18):2882-2889. PubMed ID: 28498950
    [TBL] [Abstract][Full Text] [Related]  

  • 3. LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies.
    Yang Y; Dai M; Huang J; Lin X; Yang C; Chen M; Liu J
    BMC Genomics; 2018 Jun; 19(1):503. PubMed ID: 29954342
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.
    Guo B; Wu B
    Bioinformatics; 2019 Jul; 35(13):2251-2257. PubMed ID: 30476000
    [TBL] [Abstract][Full Text] [Related]  

  • 5. LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
    Ming J; Dai M; Cai M; Wan X; Liu J; Yang C
    Bioinformatics; 2018 Aug; 34(16):2788-2796. PubMed ID: 29608640
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
    Liu J; Wan X; Wang C; Yang C; Zhou X; Yang C
    Bioinformatics; 2017 Dec; 33(24):3878-3886. PubMed ID: 28961754
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary data.
    Guo B; Wu B
    Bioinformatics; 2019 Apr; 35(8):1366-1372. PubMed ID: 30239606
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.
    Yu X; Xiao J; Cai M; Jiao Y; Wan X; Liu J; Yang C
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36744920
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data.
    Masotti M; Guo B; Wu B
    Biometrics; 2019 Dec; 75(4):1076-1085. PubMed ID: 31021400
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations.
    Ming J; Wang T; Yang C
    Bioinformatics; 2020 Apr; 36(8):2506-2514. PubMed ID: 31860024
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.
    Yang Y; Shi X; Jiao Y; Huang J; Chen M; Zhou X; Sun L; Lin X; Yang C; Liu J
    Bioinformatics; 2020 Apr; 36(7):2009-2016. PubMed ID: 31755899
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. JEPEG: a summary statistics based tool for gene-level joint testing of functional variants.
    Lee D; Williamson VS; Bigdeli TB; Riley BP; Fanous AH; Vladimirov VI; Bacanu SA
    Bioinformatics; 2015 Apr; 31(8):1176-82. PubMed ID: 25505091
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA.
    Kim HJ; Yu Z; Lawson A; Zhao H; Chung D
    Bioinformatics; 2018 Jun; 34(12):2139-2141. PubMed ID: 29432514
    [TBL] [Abstract][Full Text] [Related]  

  • 15. bGWAS: an R package to perform Bayesian genome wide association studies.
    Mounier N; Kutalik Z
    Bioinformatics; 2020 Aug; 36(15):4374-4376. PubMed ID: 32470106
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LEP: A Statistical Method Integrating Individual-Level and Summary-Level Data of the Same Trait From Different Populations.
    Dai M; Liu J; Yang C
    Biomed Inform Insights; 2019; 11():1178222619881624. PubMed ID: 31666794
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
    Zhao J; Ming J; Hu X; Chen G; Liu J; Yang C
    Bioinformatics; 2020 Mar; 36(5):1501-1508. PubMed ID: 31593215
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics.
    Zhu X; Li X; Xu R; Wang T
    Bioinformatics; 2021 Jun; 37(10):1390-1400. PubMed ID: 33226062
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast and accurate imputation of summary statistics enhances evidence of functional enrichment.
    Pasaniuc B; Zaitlen N; Shi H; Bhatia G; Gusev A; Pickrell J; Hirschhorn J; Strachan DP; Patterson N; Price AL
    Bioinformatics; 2014 Oct; 30(20):2906-14. PubMed ID: 24990607
    [TBL] [Abstract][Full Text] [Related]  

  • 20. GAUSS: a summary-statistics-based R package for accurate estimation of linkage disequilibrium for variants, Gaussian imputation, and TWAS analysis of cosmopolitan cohorts.
    Lee D; Bacanu SA
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38632050
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.