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 *

103 related articles for article (PubMed ID: 25329471)

  • 1. The challenges of genome-wide interaction studies: lessons to learn from the analysis of HDL blood levels.
    van Leeuwen EM; Smouter FA; Kam-Thong T; Karbalai N; Smith AV; Harris TB; Launer LJ; Sitlani CM; Li G; Brody JA; Bis JC; White CC; Jaiswal A; Oostra BA; Hofman A; Rivadeneira F; Uitterlinden AG; Boerwinkle E; Ballantyne CM; Gudnason V; Psaty BM; Cupples LA; Järvelin MR; Ripatti S; Isaacs A; Müller-Myhsok B; Karssen LC; van Duijn CM
    PLoS One; 2014; 9(10):e109290. PubMed ID: 25329471
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of multiple association studies provides evidence of an expression QTL hub in gene-gene interaction network affecting HDL cholesterol levels.
    Ma L; Ballantyne C; Brautbar A; Keinan A
    PLoS One; 2014; 9(3):e92469. PubMed ID: 24651390
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genome-wide association analysis of total cholesterol and high-density lipoprotein cholesterol levels using the Framingham heart study data.
    Ma L; Yang J; Runesha HB; Tanaka T; Ferrucci L; Bandinelli S; Da Y
    BMC Med Genet; 2010 Apr; 11():55. PubMed ID: 20370913
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ATHENA: a tool for meta-dimensional analysis applied to genotypes and gene expression data to predict HDL cholesterol levels.
    Holzinger ER; Dudek SM; Frase AT; Krauss RM; Medina MW; Ritchie MD
    Pac Symp Biocomput; 2013; ():385-96. PubMed ID: 23424143
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits.
    Ma L; Keinan A; Clark AG
    Methods Mol Biol; 2015; 1253():35-45. PubMed ID: 25403526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.
    Goudey B; Rawlinson D; Wang Q; Shi F; Ferra H; Campbell RM; Stern L; Inouye MT; Ong CS; Kowalczyk A
    BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S10. PubMed ID: 23819779
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A multiethnic replication study of plasma lipoprotein levels-associated SNPs identified in recent GWAS.
    Bryant EK; Dressen AS; Bunker CH; Hokanson JE; Hamman RF; Kamboh MI; Demirci FY
    PLoS One; 2013; 8(5):e63469. PubMed ID: 23717430
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes.
    Nieuwboer HA; Pool R; Dolan CV; Boomsma DI; Nivard MG
    Am J Hum Genet; 2016 Oct; 99(4):917-927. PubMed ID: 27616482
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Association of apolipoprotein E gene polymorphisms with blood lipids and their interaction with dietary factors.
    Shatwan IM; Winther KH; Ellahi B; Elwood P; Ben-Shlomo Y; Givens I; Rayman MP; Lovegrove JA; Vimaleswaran KS
    Lipids Health Dis; 2018 Apr; 17(1):98. PubMed ID: 29712557
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Combined Effect of Common Genetic Risk Variants on Circulating Lipoproteins Is Evident in Childhood: A Longitudinal Analysis of the Cardiovascular Risk in Young Finns Study.
    Buscot MJ; Magnussen CG; Juonala M; Pitkänen N; Lehtimäki T; Viikari JS; Kähönen M; Hutri-Kähönen N; Schork NJ; Raitakari OT; Thomson RJ
    PLoS One; 2016; 11(1):e0146081. PubMed ID: 26731281
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Finding novel genes by testing G × E interactions in a genome-wide association study.
    Gauderman WJ; Zhang P; Morrison JL; Lewinger JP
    Genet Epidemiol; 2013 Sep; 37(6):603-13. PubMed ID: 23873611
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Do genetic modifiers of high-density lipoprotein cholesterol and triglyceride levels also modify their response to a lifestyle intervention in the setting of obesity and type-2 diabetes mellitus?: The Action for Health in Diabetes (Look AHEAD) study.
    Huggins GS; Papandonatos GD; Erar B; Belalcazar LM; Brautbar A; Ballantyne C; Kitabchi AE; Wagenknecht LE; Knowler WC; Pownall HJ; Wing RR; Peter I; McCaffery JM;
    Circ Cardiovasc Genet; 2013 Aug; 6(4):391-9. PubMed ID: 23861364
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Polymorphism in the CETP gene region, HDL cholesterol, and risk of future myocardial infarction: Genomewide analysis among 18 245 initially healthy women from the Women's Genome Health Study.
    Ridker PM; Paré G; Parker AN; Zee RY; Miletich JP; Chasman DI
    Circ Cardiovasc Genet; 2009 Feb; 2(1):26-33. PubMed ID: 20031564
    [TBL] [Abstract][Full Text] [Related]  

  • 14. THOC5: a novel gene involved in HDL-cholesterol metabolism.
    Keller M; Schleinitz D; Förster J; Tönjes A; Böttcher Y; Fischer-Rosinsky A; Breitfeld J; Weidle K; Rayner NW; Burkhardt R; Enigk B; Müller I; Halbritter J; Koriath M; Pfeiffer A; Krohn K; Groop L; Spranger J; Stumvoll M; Kovacs P
    J Lipid Res; 2013 Nov; 54(11):3170-6. PubMed ID: 24023261
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interaction between TCF7L2 polymorphism and dietary fat intake on high density lipoprotein cholesterol.
    Bodhini D; Gaal S; Shatwan I; Ramya K; Ellahi B; Surendran S; Sudha V; Anjana MR; Mohan V; Lovegrove JA; Radha V; Vimaleswaran KS
    PLoS One; 2017; 12(11):e0188382. PubMed ID: 29182660
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.
    De R; Verma SS; Holzinger E; Hall M; Burt A; Carrell DS; Crosslin DR; Jarvik GP; Kuivaniemi H; Kullo IJ; Lange LA; Lanktree MB; Larson EB; North KE; Reiner AP; Tragante V; Tromp G; Wilson JG; Asselbergs FW; Drenos F; Moore JH; Ritchie MD; Keating B; Gilbert-Diamond D
    Hum Genet; 2017 Feb; 136(2):165-178. PubMed ID: 27848076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Interactions of Lipid Genetic Risk Scores With Estimates of Metabolic Health in a Danish Population.
    Justesen JM; Allin KH; Sandholt CH; Borglykke A; Krarup NT; Grarup N; Linneberg A; Jørgensen T; Hansen T; Pedersen O
    Circ Cardiovasc Genet; 2015 Jun; 8(3):465-72. PubMed ID: 25714099
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Iterative hard thresholding for model selection in genome-wide association studies.
    Keys KL; Chen GK; Lange K
    Genet Epidemiol; 2017 Dec; 41(8):756-768. PubMed ID: 28875524
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of gene-obesity interaction effects on cholesterol levels: a genetic predisposition score on HDL-cholesterol is modified by obesity.
    Lamina C; Forer L; Schönherr S; Kollerits B; Ried JS; Gieger C; Peters A; Wichmann HE; Kronenberg F
    Atherosclerosis; 2012 Dec; 225(2):363-9. PubMed ID: 23058813
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variants identified in a GWAS meta-analysis for blood lipids are associated with the lipid response to fenofibrate.
    Aslibekyan S; Goodarzi MO; Frazier-Wood AC; Yan X; Irvin MR; Kim E; Tiwari HK; Guo X; Straka RJ; Taylor KD; Tsai MY; Hopkins PN; Korenman SG; Borecki IB; Chen YD; Ordovas JM; Rotter JI; Arnett DK
    PLoS One; 2012; 7(10):e48663. PubMed ID: 23119086
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.