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 *

209 related articles for article (PubMed ID: 34256701)

  • 41. A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications.
    Heath AC; Whitfield JB; Martin NG; Pergadia ML; Goate AM; Lind PA; McEvoy BP; Schrage AJ; Grant JD; Chou YL; Zhu R; Henders AK; Medland SE; Gordon SD; Nelson EC; Agrawal A; Nyholt DR; Bucholz KK; Madden PA; Montgomery GW
    Biol Psychiatry; 2011 Sep; 70(6):513-8. PubMed ID: 21529783
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Genome-wide association study uncovers major genetic loci associated with seed flooding tolerance in soybean.
    Sharmin RA; Karikari B; Chang F; Al Amin GM; Bhuiyan MR; Hina A; Lv W; Chunting Z; Begum N; Zhao T
    BMC Plant Biol; 2021 Oct; 21(1):497. PubMed ID: 34715792
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Multi-trait multi-locus SEM model discriminates SNPs of different effects.
    Igolkina AA; Meshcheryakov G; Gretsova MV; Nuzhdin SV; Samsonova MG
    BMC Genomics; 2020 Jul; 21(Suppl 8):490. PubMed ID: 32723302
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Comparing Single-SNP, Multi-SNP, and Haplotype-Based Approaches in Association Studies for Major Traits in Barley.
    Abed A; Belzile F
    Plant Genome; 2019 Nov; 12(3):1-14. PubMed ID: 33016584
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Prioritized candidate causal haplotype blocks in plant genome-wide association studies.
    Wu X; Jiang W; Fragoso C; Huang J; Zhou G; Zhao H; Dellaporta S
    PLoS Genet; 2022 Oct; 18(10):e1010437. PubMed ID: 36251695
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A custom correlation coefficient (CCC) approach for fast identification of multi-SNP association patterns in genome-wide SNPs data.
    Climer S; Yang W; de las Fuentes L; Dávila-Román VG; Gu CC
    Genet Epidemiol; 2014 Nov; 38(7):610-21. PubMed ID: 25168954
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Novel Polymorphisms in
    Azmal SA; Bhuiyan AA; Omar AI; Ma S; Sun C; Han Z; Zhang M; Zhao S; Li S
    Genes (Basel); 2019 May; 10(5):. PubMed ID: 31137587
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Use of meta-analyses and joint analyses to select variants in whole genome sequences for genomic evaluation: An application in milk production of French dairy cattle breeds.
    Teissier M; Sanchez MP; Boussaha M; Barbat A; Hoze C; Robert-Granie C; Croiseau P
    J Dairy Sci; 2018 Apr; 101(4):3126-3139. PubMed ID: 29428760
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Functional evaluation of genetic variants associated with endometriosis near GREB1.
    Fung JN; Holdsworth-Carson SJ; Sapkota Y; Zhao ZZ; Jones L; Girling JE; Paiva P; Healey M; Nyholt DR; Rogers PA; Montgomery GW
    Hum Reprod; 2015 May; 30(5):1263-75. PubMed ID: 25788566
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Genetic prediction of quantitative lipid traits: comparing shrinkage models to gene scores.
    Warren H; Casas JP; Hingorani A; Dudbridge F; Whittaker J
    Genet Epidemiol; 2014 Jan; 38(1):72-83. PubMed ID: 24272946
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Selecting Closely-Linked SNPs Based on Local Epistatic Effects for Haplotype Construction Improves Power of Association Mapping.
    Liu F; Schmidt RH; Reif JC; Jiang Y
    G3 (Bethesda); 2019 Dec; 9(12):4115-4126. PubMed ID: 31604824
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle.
    Hassani S; Saatchi M; Fernando RL; Garrick DJ
    Genet Sel Evol; 2015 Dec; 47():99. PubMed ID: 26698091
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Limits on the reproducibility of marker associations with southern leaf blight resistance in the maize nested association mapping population.
    Bian Y; Yang Q; Balint-Kurti PJ; Wisser RJ; Holland JB
    BMC Genomics; 2014 Dec; 15(1):1068. PubMed ID: 25475173
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans.
    Cai Z; Christensen OF; Lund MS; Ostersen T; Sahana G
    BMC Genomics; 2022 Feb; 23(1):133. PubMed ID: 35168569
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Combinatorial and statistical prediction of gene expression from haplotype sequence.
    Alpay BA; Demetci P; Istrail S; Aguiar D
    Bioinformatics; 2020 Jul; 36(Suppl_1):i194-i202. PubMed ID: 32657373
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Using GWAS summary data to impute traits for genotyped individuals.
    Ren J; Lin Z; He R; Shen X; Pan W
    HGG Adv; 2023 Jul; 4(3):100197. PubMed ID: 37181332
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Genomic variants associated with the number and diameter of muscle fibers in pigs as revealed by a genome-wide association study.
    Zhang L; Guo Y; Wang L; Liu X; Yan H; Gao H; Hou X; Zhang Y; Guo H; Yue J; An J; Wang L
    Animal; 2020 Mar; 14(3):475-481. PubMed ID: 31610816
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Integration of multi-omics data for prediction of phenotypic traits using random forest.
    Acharjee A; Kloosterman B; Visser RG; Maliepaard C
    BMC Bioinformatics; 2016 Jun; 17 Suppl 5(Suppl 5):180. PubMed ID: 27295212
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle.
    de Las Heras-Saldana S; Lopez BI; Moghaddar N; Park W; Park JE; Chung KY; Lim D; Lee SH; Shin D; van der Werf JHJ
    Genet Sel Evol; 2020 Sep; 52(1):54. PubMed ID: 32993481
    [TBL] [Abstract][Full Text] [Related]  

  • 60. BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data.
    Chae H; Lee S; Seo S; Jung D; Chang H; Nephew KP; Kim S
    Methods; 2016 Dec; 111():64-71. PubMed ID: 27477210
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.