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 *

191 related articles for article (PubMed ID: 30272994)

  • 1. Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies.
    Wu Y; Hormozdiari F; Joo JWJ; Eskin E
    J Comput Biol; 2019 Nov; 26(11):1203-1213. PubMed ID: 30272994
    [No Abstract]   [Full Text] [Related]  

  • 2. FAPI: Fast and accurate P-value Imputation for genome-wide association study.
    Kwan JS; Li MX; Deng JE; Sham PC
    Eur J Hum Genet; 2016 May; 24(5):761-6. PubMed ID: 26306642
    [TBL] [Abstract][Full Text] [Related]  

  • 3. RAISS: robust and accurate imputation from summary statistics.
    Julienne H; Shi H; Pasaniuc B; Aschard H
    Bioinformatics; 2019 Nov; 35(22):4837-4839. PubMed ID: 31173064
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate Imputation of Untyped Variants from Deep Sequencing Data.
    Torkamaneh D; Belzile F
    Methods Mol Biol; 2021; 2243():271-281. PubMed ID: 33606262
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation and application of summary statistic imputation to discover new height-associated loci.
    Rüeger S; McDaid A; Kutalik Z
    PLoS Genet; 2018 May; 14(5):e1007371. PubMed ID: 29782485
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Unifying Framework for Imputing Summary Statistics in Genome-Wide Association Studies.
    Wu Y; Eskin E; Sankararaman S
    J Comput Biol; 2020 Mar; 27(3):418-428. PubMed ID: 32053016
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel.
    Chatzinakos C; Lee D; Cai N; Vladimirov VI; Webb BT; Riley BP; Flint J; Kendler KS; Ressler KJ; Daskalakis NP; Bacanu SA
    Am J Med Genet B Neuropsychiatr Genet; 2021 Jan; 186(1):16-27. PubMed ID: 33576176
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle.
    Pausch H; MacLeod IM; Fries R; Emmerling R; Bowman PJ; Daetwyler HD; Goddard ME
    Genet Sel Evol; 2017 Feb; 49(1):24. PubMed ID: 28222685
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Genotype Imputation from Large Reference Panels.
    Das S; Abecasis GR; Browning BL
    Annu Rev Genomics Hum Genet; 2018 Aug; 19():73-96. PubMed ID: 29799802
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation.
    Ren J; Lin Z; Pan W
    Hum Mol Genet; 2023 Aug; 32(17):2693-2703. PubMed ID: 37369060
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The impact of imputation on meta-analysis of genome-wide association studies.
    Li J; Guo YF; Pei Y; Deng HW
    PLoS One; 2012; 7(4):e34486. PubMed ID: 22496814
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses.
    Park DS; Brown B; Eng C; Huntsman S; Hu D; Torgerson DG; Burchard EG; Zaitlen N
    Bioinformatics; 2015 Jun; 31(12):i181-9. PubMed ID: 26072481
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Inferring causal relationships between phenotypes using summary statistics from genome-wide association studies.
    Meng XH; Shen H; Chen XD; Xiao HM; Deng HW
    Hum Genet; 2018 Mar; 137(3):247-255. PubMed ID: 29460149
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DIST: direct imputation of summary statistics for unmeasured SNPs.
    Lee D; Bigdeli TB; Riley BP; Fanous AH; Bacanu SA
    Bioinformatics; 2013 Nov; 29(22):2925-7. PubMed ID: 23990413
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics.
    Kim J; Bai Y; Pan W
    Genet Epidemiol; 2015 Dec; 39(8):651-63. PubMed ID: 26493956
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Effect of genome-wide genotyping and reference panels on rare variants imputation.
    Zheng HF; Ladouceur M; Greenwood CM; Richards JB
    J Genet Genomics; 2012 Oct; 39(10):545-50. PubMed ID: 23089364
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.