BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1303 related articles for article (PubMed ID: 31604824)

  • 1. 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]  

  • 2. 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]  

  • 3. A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea.
    Upadhyaya HD; Bajaj D; Das S; Saxena MS; Badoni S; Kumar V; Tripathi S; Gowda CL; Sharma S; Tyagi AK; Parida SK
    Plant Mol Biol; 2015 Nov; 89(4-5):403-20. PubMed ID: 26394865
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genome-wide association study of inflorescence length of cultivated soybean based on the high-throughout single-nucleotide markers.
    Wang J; Zhao X; Wang W; Qu Y; Teng W; Qiu L; Zheng H; Han Y; Li W
    Mol Genet Genomics; 2019 Jun; 294(3):607-620. PubMed ID: 30739204
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SNP- and haplotype-based genome-wide association studies for growth, carcass, and meat quality traits in a Duroc multigenerational population.
    Sato S; Uemoto Y; Kikuchi T; Egawa S; Kohira K; Saito T; Sakuma H; Miyashita S; Arata S; Kojima T; Suzuki K
    BMC Genet; 2016 Apr; 17():60. PubMed ID: 27094516
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Disentangling group specific QTL allele effects from genetic background epistasis using admixed individuals in GWAS: An application to maize flowering.
    Rio S; Mary-Huard T; Moreau L; Bauland C; Palaffre C; Madur D; Combes V; Charcosset A
    PLoS Genet; 2020 Mar; 16(3):e1008241. PubMed ID: 32130208
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gene-set association and epistatic analyses reveal complex gene interaction networks affecting flowering time in a worldwide barley collection.
    He T; Hill CB; Angessa TT; Zhang XQ; Chen K; Moody D; Telfer P; Westcott S; Li C
    J Exp Bot; 2019 Oct; 70(20):5603-5616. PubMed ID: 31504706
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids.
    Jan HU; Guan M; Yao M; Liu W; Wei D; Abbadi A; Zheng M; He X; Chen H; Guan C; Nichols RA; Snowdon RJ; Hua W; Qian L
    Plant Sci; 2019 Jun; 283():157-164. PubMed ID: 31128685
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley.
    Lorenz AJ; Hamblin MT; Jannink JL
    PLoS One; 2010 Nov; 5(11):e14079. PubMed ID: 21124933
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method.
    Hamazaki K; Iwata H
    PLoS Comput Biol; 2020 Feb; 16(2):e1007663. PubMed ID: 32059004
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Genome-Wide Association Study for Agronomic Traits in Soybean Using SNP Markers and SNP-Based Haplotype Analysis.
    Contreras-Soto RI; Mora F; de Oliveira MA; Higashi W; Scapim CA; Schuster I
    PLoS One; 2017; 12(2):e0171105. PubMed ID: 28152092
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Haplotype-based genome-wide association increases the predictability of leaf rust (Puccinia triticina) resistance in wheat.
    Liu F; Jiang Y; Zhao Y; Schulthess AW; Reif JC
    J Exp Bot; 2020 Dec; 71(22):6958-6968. PubMed ID: 32827041
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses.
    Yan L; Hofmann N; Li S; Ferreira ME; Song B; Jiang G; Ren S; Quigley C; Fickus E; Cregan P; Song Q
    BMC Genomics; 2017 Jul; 18(1):529. PubMed ID: 28701220
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Haplotype-Based Single-Step GWAS for Yearling Temperament in American Angus Cattle.
    Araujo AC; Carneiro PLS; Alvarenga AB; Oliveira HR; Miller SP; Retallick K; Brito LF
    Genes (Basel); 2021 Dec; 13(1):. PubMed ID: 35052358
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies.
    Zhang K; Qin ZS; Liu JS; Chen T; Waterman MS; Sun F
    Genome Res; 2004 May; 14(5):908-16. PubMed ID: 15078859
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Haplotype-Based Genome-Wide Prediction Models Exploit Local Epistatic Interactions Among Markers.
    Jiang Y; Schmidt RH; Reif JC
    G3 (Bethesda); 2018 May; 8(5):1687-1699. PubMed ID: 29549092
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Single Marker and Haplotype-Based Association Analysis of Semolina and Pasta Colour in Elite Durum Wheat Breeding Lines Using a High-Density Consensus Map.
    N'Diaye A; Haile JK; Cory AT; Clarke FR; Clarke JM; Knox RE; Pozniak CJ
    PLoS One; 2017; 12(1):e0170941. PubMed ID: 28135299
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study.
    Li M; Liu Y; Tao Y; Xu C; Li X; Zhang X; Han Y; Yang X; Sun J; Li W; Li D; Zhao X; Zhao L
    BMC Genomics; 2019 Dec; 20(1):987. PubMed ID: 31842754
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 66.