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 *

211 related articles for article (PubMed ID: 28422154)

  • 21. Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs.
    Ramayo-Caldas Y; Mármol-Sánchez E; Ballester M; Sánchez JP; González-Prendes R; Amills M; Quintanilla R
    Genet Sel Evol; 2019 Sep; 51(1):48. PubMed ID: 31477014
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Integrated analysis of genome-wide association studies and 3D epigenomic characteristics reveal the BMP2 gene regulating loin muscle depth in Yorkshire pigs.
    Miao Y; Zhao Y; Wan S; Mei Q; Wang H; Fu C; Li X; Zhao S; Xu X; Xiang T
    PLoS Genet; 2023 Jun; 19(6):e1010820. PubMed ID: 37339141
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Expression patterns of hepatic genes involved in lipid metabolism in cows with subclinical or clinical ketosis.
    Zhu Y; Liu G; Du X; Shi Z; Jin M; Sha X; Li X; Wang Z; Li X
    J Dairy Sci; 2019 Feb; 102(2):1725-1735. PubMed ID: 30471902
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.
    Martínez-Montes AM; Muiños-Bühl A; Fernández A; Folch JM; Ibáñez-Escriche N; Fernández AI
    Mamm Genome; 2017 Apr; 28(3-4):130-142. PubMed ID: 27942838
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identify known and novel candidate genes associated with backfat thickness in Duroc pigs by large-scale genome-wide association analysis.
    Ding R; Zhuang Z; Qiu Y; Ruan D; Wu J; Ye J; Cao L; Zhou S; Zheng E; Huang W; Wu Z; Yang J
    J Anim Sci; 2022 Feb; 100(2):. PubMed ID: 35034121
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Differences in gene expression profiles for subcutaneous adipose, liver, and skeletal muscle tissues between Meishan and Landrace pigs with different backfat thicknesses.
    Kojima M; Nakajima I; Arakawa A; Mikawa S; Matsumoto T; Uenishi H; Nakamura Y; Taniguchi M
    PLoS One; 2018; 13(9):e0204135. PubMed ID: 30240433
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Polymorphism in the ELOVL6 gene is associated with a major QTL effect on fatty acid composition in pigs.
    Corominas J; Ramayo-Caldas Y; Puig-Oliveras A; Pérez-Montarelo D; Noguera JL; Folch JM; Ballester M
    PLoS One; 2013; 8(1):e53687. PubMed ID: 23341976
    [TBL] [Abstract][Full Text] [Related]  

  • 28. SNPs associated with body weight and backfat thickness in two pig breeds identified by a genome-wide association study.
    Yang Q; Wu P; Wang K; Chen D; Zhou J; Ma J; Li M; Xiao W; Jiang A; Jiang Y; Bai L; Zhu L; Li X; Tang G
    Genomics; 2019 Dec; 111(6):1583-1589. PubMed ID: 30439481
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Weighted single-step GWAS and gene network analysis reveal new candidate genes for semen traits in pigs.
    Marques DBD; Bastiaansen JWM; Broekhuijse MLWJ; Lopes MS; Knol EF; Harlizius B; Guimarães SEF; Silva FF; Lopes PS
    Genet Sel Evol; 2018 Aug; 50(1):40. PubMed ID: 30081822
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Genome-Wide Analysis of mRNAs and lncRNAs of Intramuscular Fat Related to Lipid Metabolism in Two Pig Breeds.
    Huang W; Zhang X; Li A; Xie L; Miao X
    Cell Physiol Biochem; 2018; 50(6):2406-2422. PubMed ID: 30423578
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Exploring evidence of positive selection reveals genetic basis of meat quality traits in Berkshire pigs through whole genome sequencing.
    Jeong H; Song KD; Seo M; Caetano-Anollés K; Kim J; Kwak W; Oh JD; Kim E; Jeong DK; Cho S; Kim H; Lee HK
    BMC Genet; 2015 Aug; 16():104. PubMed ID: 26289667
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of strong candidate genes for backfat and intramuscular fatty acid composition in three crosses based on the Iberian pig.
    Crespo-Piazuelo D; Criado-Mesas L; Revilla M; Castelló A; Noguera JL; Fernández AI; Ballester M; Folch JM
    Sci Rep; 2020 Aug; 10(1):13962. PubMed ID: 32811870
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Effects of lysine deficiency on carcass composition and activity and gene expression of lipogenic enzymes in muscles and backfat adipose tissue of fatty and lean piglets.
    Palma-Granados P; Seiquer I; Benítez R; Óvilo C; Nieto R
    Animal; 2019 Oct; 13(10):2406-2418. PubMed ID: 31062674
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Co-Association Network Analysis Reveals Putative Regulators for Health-Related Traits in Pigs.
    Crespo-Piazuelo D; Ramayo-Caldas Y; González-Rodríguez O; Pascual M; Quintanilla R; Ballester M
    Front Immunol; 2021; 12():784978. PubMed ID: 34899750
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis.
    Valdés-Hernández J; Folch JM; Crespo-Piazuelo D; Passols M; Sebastià C; Criado-Mesas L; Castelló A; Sánchez A; Ramayo-Caldas Y
    Genet Sel Evol; 2024 Feb; 56(1):12. PubMed ID: 38347496
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Analysis of porcine IGF2 gene expression in adipose tissue and its effect on fatty acid composition.
    Criado-Mesas L; Ballester M; Crespo-Piazuelo D; Castelló A; Benítez R; Fernández AI; Folch JM
    PLoS One; 2019; 14(8):e0220708. PubMed ID: 31393967
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Genome-wide association studies for seven production traits highlight genomic regions useful to dissect dry-cured ham quality and production traits in Duroc heavy pigs.
    Bertolini F; Schiavo G; Galimberti G; Bovo S; D'Andrea M; Gallo M; Buttazzoni L; Rothschild MF; Fontanesi L
    Animal; 2018 Sep; 12(9):1777-1784. PubMed ID: 29706143
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma.
    Ma X; Wang P; Xu G; Yu F; Ma Y
    BMC Med Genomics; 2020 Aug; 13(1):123. PubMed ID: 32867763
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
    Wang K; Narayanan M; Zhong H; Tompa M; Schadt EE; Zhu J
    PLoS Comput Biol; 2009 Dec; 5(12):e1000616. PubMed ID: 20019805
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integration of GWAS and eGWAS to screen candidate genes underlying green head traits in male ducks.
    Wang J; Jiang S; Xi Y; Qi J; Ma S; Li L; Wang J; Bai L; He H; Xu H; Liu H
    Anim Genet; 2023 Aug; 54(4):500-509. PubMed ID: 37194451
    [TBL] [Abstract][Full Text] [Related]  

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