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 *

148 related articles for article (PubMed ID: 20951462)

  • 1. 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]  

  • 2. Disentangling molecular relationships with a causal inference test.
    Millstein J; Zhang B; Zhu J; Schadt EE
    BMC Genet; 2009 May; 10():23. PubMed ID: 19473544
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combining cow and bull reference populations to increase accuracy of genomic prediction and genome-wide association studies.
    Calus MP; de Haas Y; Veerkamp RF
    J Dairy Sci; 2013 Oct; 96(10):6703-15. PubMed ID: 23891299
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Implementing a QTL detection study (GWAS) using genomic prediction methodology.
    Garrick DJ; Fernando RL
    Methods Mol Biol; 2013; 1019():275-98. PubMed ID: 23756895
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Probabilistic fine-mapping of transcriptome-wide association studies.
    Mancuso N; Freund MK; Johnson R; Shi H; Kichaev G; Gusev A; Pasaniuc B
    Nat Genet; 2019 Apr; 51(4):675-682. PubMed ID: 30926970
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle.
    McClure MC; Morsci NS; Schnabel RD; Kim JW; Yao P; Rolf MM; McKay SD; Gregg SJ; Chapple RH; Northcutt SL; Taylor JF
    Anim Genet; 2010 Dec; 41(6):597-607. PubMed ID: 20477797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.
    MacLeod IM; Bowman PJ; Vander Jagt CJ; Haile-Mariam M; Kemper KE; Chamberlain AJ; Schrooten C; Hayes BJ; Goddard ME
    BMC Genomics; 2016 Feb; 17():144. PubMed ID: 26920147
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A more accurate method for colocalisation analysis allowing for multiple causal variants.
    Wallace C
    PLoS Genet; 2021 Sep; 17(9):e1009440. PubMed ID: 34587156
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.
    Brøndum RF; Su G; Janss L; Sahana G; Guldbrandtsen B; Boichard D; Lund MS
    J Dairy Sci; 2015 Jun; 98(6):4107-16. PubMed ID: 25892697
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
    Tiezzi F; Maltecca C
    Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits.
    Freua MC; Santana MHA; Ventura RV; Tedeschi LO; Ferraz JBS
    J Appl Genet; 2017 Aug; 58(3):393-400. PubMed ID: 28382466
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks.
    Wu M; Lin Z; Ma S; Chen T; Jiang R; Wong WH
    J Mol Cell Biol; 2017 Dec; 9(6):436-452. PubMed ID: 29300920
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Uncovering the genetic landscape for multiple sleep-wake traits.
    Winrow CJ; Williams DL; Kasarskis A; Millstein J; Laposky AD; Yang HS; Mrazek K; Zhou L; Owens JR; Radzicki D; Preuss F; Schadt EE; Shimomura K; Vitaterna MH; Zhang C; Koblan KS; Renger JJ; Turek FW
    PLoS One; 2009; 4(4):e5161. PubMed ID: 19360106
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genome-wide association study for endocrine fertility traits using single nucleotide polymorphism arrays and sequence variants in dairy cattle.
    Tenghe AMM; Bouwman AC; Berglund B; Strandberg E; de Koning DJ; Veerkamp RF
    J Dairy Sci; 2016 Jul; 99(7):5470-5485. PubMed ID: 27157577
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model.
    Jiang J; Zhang Q; Ma L; Li J; Wang Z; Liu JF
    Heredity (Edinb); 2015 Jul; 115(1):29-36. PubMed ID: 25873147
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.