BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 14975154)

  • 1. Genome-wide linkage analysis of systolic blood pressure slope using the Genetic Analysis Workshop 13 data sets.
    Pinnaduwage D; Beyene J; Fallah S
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S86. PubMed ID: 14975154
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multilevel modeling for the analysis of longitudinal blood pressure data in the Framingham Heart Study pedigrees.
    Briollais L; Tzontcheva A; Bull S;
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S19. PubMed ID: 14975087
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Age-of-onset of hypertension vs. a single measurement of systolic blood pressure in a combined linkage and segregation analysis.
    Daw EW; Liu X; Wu CC
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S80. PubMed ID: 14975148
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genome-wide linkage scan on estimated breeding values for a quantitative trait.
    Zabaneh D; Mackay IJ
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S61. PubMed ID: 14975129
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genetic analysis of common factors underlying cardiovascular disease-related traits.
    Liu XQ; Hanley AJ; Paterson AD
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S56. PubMed ID: 14975124
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Linkage analysis of cross-sectional and longitudinally derived phenotypic measures to identify loci influencing blood pressure.
    Shephard N; Falcaro M; Zeggini E; Chapman P; Hinks A; Barton A; Worthington J; Pickles A; John S
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S26. PubMed ID: 14975094
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantitative trait linkage analysis of longitudinal change in body weight.
    Golla A; Strauch K; Dietter J; Baur MP
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S7. PubMed ID: 14975075
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Exploring pleiotropy using principal components.
    Bensen JT; Lange LA; Langefeld CD; Chang BL; Bleecker ER; Meyers DA; Xu J
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S53. PubMed ID: 14975121
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait.
    Knight J; North BV; Sham PC; Curtis D
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S74. PubMed ID: 14975142
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genetic analysis of phenotypes derived from longitudinal data: Presentation Group 1 of Genetic Analysis Workshop 13.
    Strauch K; Golla A; Wilcox MA; Baur MP
    Genet Epidemiol; 2003; 25 Suppl 1():S5-17. PubMed ID: 14635164
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genome-wide scan on plasma triglyceride and high density lipoprotein cholesterol levels, accounting for the effects of correlated quantitative phenotypes.
    Lin JP
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S47. PubMed ID: 14975115
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of longitudinal variance components and regression-based approaches for linkage detection on chromosome 17 for systolic blood pressure.
    de Andrade M; Olswold C
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S17. PubMed ID: 14975085
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Variance components linkage analysis for adjusted systolic blood pressure in the Framingham Heart Study.
    Byng MC; Fisher SA; Lewis CM; Whittaker JC;
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S4. PubMed ID: 14975072
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genome-wide linkage analysis of longitudinal phenotypes using sigma2A random effects (SSARs) fitted by Gibbs sampling.
    Palmer LJ; Scurrah KJ; Tobin M; Patel SR; Celedon JC; Burton PR; Weiss ST
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S12. PubMed ID: 14975080
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of a random coefficient regression (RCR) model to estimate growth parameters.
    Corbett J; Kraja A; Borecki IB; Province MA
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S5. PubMed ID: 14975073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Empirically derived phenotypic subgroups - qualitative and quantitative trait analyses.
    Wilcox MA; Wyszynski DF; Panhuysen CI; Ma Q; Yip A; Farrell J; Farrer LA
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S15. PubMed ID: 14975083
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Consistency of genetic analyses in longitudinal data: observations from the GAW13 Framingham Heart Study data.
    Diego VP; Atwood L; Mathias RA; Almasy L
    Genet Epidemiol; 2003; 25 Suppl 1():S29-35. PubMed ID: 14635166
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Blood pressure QTLs identified by genome-wide linkage analysis and dependence on associated phenotypes.
    Harrap SB; Wong ZY; Stebbing M; Lamantia A; Bahlo M
    Physiol Genomics; 2002 Feb; 8(2):99-105. PubMed ID: 11875187
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genome-wide linkage analysis of the tracking of systolic blood pressure using a mixed model.
    Wang T; Zhu G; Keen KJ
    BMC Genet; 2003 Dec; 4 Suppl 1(Suppl 1):S88. PubMed ID: 14975156
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Empirical significance values for linkage analysis: trait simulation using posterior model distributions from MCMC oligogenic segregation analysis.
    Igo RP; Wijsman EM
    Genet Epidemiol; 2008 Feb; 32(2):119-31. PubMed ID: 17849492
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.