Literature DB >> 17635856

Genome-wide scans meta-analysis for pulse pressure.

Elias Zintzaras1, Georgios Kitsios, David Kent, Nicola J Camp, Larry Atwood, Paul N Hopkins, Steven C Hunt.   

Abstract

Genome scans for identifying susceptibility loci for pulse pressure have produced inconclusive results. A heterogeneity-based genome search meta-analysis was applied to available genome-scan data on pulse pressure. A genome search meta-analysis divides the whole genome into 120 bins and identifies bins that rank high on average in terms of linkage statistics across genome scans unweighted or weighted by study size. The significance of each bin's average rank (right-sided test) and heterogeneity among studies (left-sided test) was calculated using a Monte Carlo test. The meta-analysis involved 7 genome scans, 3 consisting of subjects of European descent. Of the 120 bins, 5 bins had significant average rank (P(rank)<or=0.05) by either unweighted or weighted analyses, 4 of which (bins 21.2: 21q22.11 to 21q22.3, 18.3: 18q12.2 to 18q21.33, 18.4: 18q21.33 to 18q23, and 6.2: 6p22.3 to 6p21.1) were significant by both. In subjects of European descent, 3 bins (22.1: 22q11.1 to 22q12.3, 22.2: 22q12.3 to 22q13.3, 10.4: 10q22.1 to 10q23.32) had P(rank)<or=0.05 with both unweighted and weighted analyses. Bin 10.4 showed low heterogeneity (P(Q)=0.04). None of the bins showed low heterogeneity (P(Q)>0.05), indicating variation in the strength of association. Further investigation of these regions may help to direct the identification of candidate genes for pulse pressure variation.

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Year:  2007        PMID: 17635856     DOI: 10.1161/HYPERTENSIONAHA.107.090316

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  11 in total

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Journal:  Am J Hypertens       Date:  2008-01-10       Impact factor: 2.689

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Authors:  Georgios D Kitsios; Elias Zintzaras
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Review 3.  Current Updates on Pre-eclampsia: Maternal and Foetal Cardiovascular Diseases Predilection, Science or Myth? : Future cardiovascular disease risks in mother and child following pre-eclampsia.

Authors:  Samson A Odukoya; Jagidesa Moodley; Thajasvarie Naicker
Journal:  Curr Hypertens Rep       Date:  2021-03-10       Impact factor: 5.369

4.  Genomic convergence of genome-wide investigations for complex traits.

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Ann Hum Genet       Date:  2009-07-09       Impact factor: 1.670

5.  Identification of the UBP1 locus as a critical blood pressure determinant using a combination of mouse and human genetics.

Authors:  Hana Koutnikova; Markku Laakso; Lu Lu; Roy Combe; Jussi Paananen; Teemu Kuulasmaa; Johanna Kuusisto; Hans-Ulrich Häring; Torben Hansen; Oluf Pedersen; Ulf Smith; Markolf Hanefeld; Robert W Williams; Johan Auwerx
Journal:  PLoS Genet       Date:  2009-08-07       Impact factor: 5.917

6.  An NOS3 Haplotype is Protective against Hypertension in a Caucasian Population.

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Int J Hypertens       Date:  2010-03-25       Impact factor: 2.420

7.  Hypothesis: it is time to reconsider phenotypes in hypertension.

Authors:  Marcelo Orias; Aldo H Tabares; Aldo J Peixoto
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-05       Impact factor: 3.738

8.  Suggestive linkage detected for blood pressure related traits on 2q and 22q in the population on the Samoan islands.

Authors:  Karolina Aberg; Feng Dai; Satupaitea Viali; John Tuitele; Guangyun Sun; Subba R Indugula; Ranjan Deka; Daniel E Weeks; Stephen T McGarvey
Journal:  BMC Med Genet       Date:  2009-10-23       Impact factor: 2.103

9.  Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family.

Authors:  Daniel Nolan; William E Kraus; Elizabeth Hauser; Yi-Ju Li; Dana K Thompson; Jessica Johnson; Hsiang-Cheng Chen; Sarah Nelson; Carol Haynes; Simon G Gregory; Virginia B Kraus; Svati H Shah
Journal:  PLoS One       Date:  2013-08-02       Impact factor: 3.240

Review 10.  Hypothesis of the neuroendocrine cortisol pathway gene role in the comorbidity of depression, type 2 diabetes, and metabolic syndrome.

Authors:  Claudia Gragnoli
Journal:  Appl Clin Genet       Date:  2014-04-01
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