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 *

134 related articles for article (PubMed ID: 28691305)

  • 1. A comparison of methods for inferring causal relationships between genotype and phenotype using additional biological measurements.
    Ainsworth HF; Shin SY; Cordell HJ
    Genet Epidemiol; 2017 Nov; 41(7):577-586. PubMed ID: 28691305
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics.
    Zhang L; Pan Q; Wang Y; Wu X; Shi X
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):475-489. PubMed ID: 29990020
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies.
    Wang Z; Chapman D; Morota G; Cheng H
    G3 (Bethesda); 2020 Dec; 10(12):4439-4448. PubMed ID: 33020191
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Causal graphs for the analysis of genetic cohort data.
    Hines O; Diaz-Ordaz K; Vansteelandt S; Jamshidi Y
    Physiol Genomics; 2020 Sep; 52(9):369-378. PubMed ID: 32687429
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Benchmarking bacterial genome-wide association study methods using simulated genomes and phenotypes.
    Saber MM; Shapiro BJ
    Microb Genom; 2020 Mar; 6(3):. PubMed ID: 32100713
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Inferring causal phenotype networks using structural equation models.
    Rosa GJ; Valente BD; de los Campos G; Wu XL; Gianola D; Silva MA
    Genet Sel Evol; 2011 Feb; 43(1):6. PubMed ID: 21310061
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mixed effects structural equation models and phenotypic causal networks.
    Valente BD; de Magalhães Rosa GJ
    Methods Mol Biol; 2013; 1019():449-64. PubMed ID: 23756905
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Critical reasoning on causal inference in genome-wide linkage and association studies.
    Li Y; Tesson BM; Churchill GA; Jansen RC
    Trends Genet; 2010 Dec; 26(12):493-8. PubMed ID: 20951462
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data.
    Wang P; Rahman M; Jin L; Xiong M
    BMC Genomics; 2016 Nov; 17(1):881. PubMed ID: 27821073
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data.
    Chen S; Lin Z; Shen X; Li L; Pan W
    Genet Epidemiol; 2023 Dec; 47(8):585-599. PubMed ID: 37573486
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel association test for multiple secondary phenotypes from a case-control GWAS.
    Ray D; Basu S
    Genet Epidemiol; 2017 Jul; 41(5):413-426. PubMed ID: 28393390
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?
    Veturi Y; Ritchie MD
    Pac Symp Biocomput; 2018; 23():228-239. PubMed ID: 29218884
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Measuring missing heritability: inferring the contribution of common variants.
    Golan D; Lander ES; Rosset S
    Proc Natl Acad Sci U S A; 2014 Dec; 111(49):E5272-81. PubMed ID: 25422463
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Some statistical consideration in transcriptome-wide association studies.
    Xue H; Pan W;
    Genet Epidemiol; 2020 Apr; 44(3):221-232. PubMed ID: 31821608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multivariate Analysis of Genotype-Phenotype Association.
    Mitteroecker P; Cheverud JM; Pavlicev M
    Genetics; 2016 Apr; 202(4):1345-63. PubMed ID: 26896328
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of three summary statistics for ranking genes in genome-wide association studies.
    Freytag S; Bickeböller H
    Stat Med; 2014 May; 33(11):1828-41. PubMed ID: 24323702
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Mendelian randomization approach, used for causal inferences].
    Wang LN; Zhang Z
    Zhonghua Liu Xing Bing Xue Za Zhi; 2017 Apr; 38(4):547-552. PubMed ID: 28468080
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Constrained instruments and their application to Mendelian randomization with pleiotropy.
    Jiang L; Oualkacha K; Didelez V; Ciampi A; Rosa-Neto P; Benedet AL; Mathotaarachchi S; Richards JB; Greenwood CMT;
    Genet Epidemiol; 2019 Jun; 43(4):373-401. PubMed ID: 30635941
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.