Literature DB >> 16611673

New susceptibility locus for hypertension on chromosome 8q by efficient pedigree-breaking in an Italian isolate.

Marina Ciullo1, Céline Bellenguez, Vincenza Colonna, Teresa Nutile, Antonietta Calabria, Rosalinda Pacente, Gianluigi Iovino, Bruno Trimarco, Catherine Bourgain, M Graziella Persico.   

Abstract

Essential hypertension (EH) affects a large proportion of the adult population in Western countries and is a major risk factor for cardiovascular diseases. EH is a multifactorial disease with a complex genetic component. To tackle the complexity of this genetic component, we have initiated a study of Campora, an isolated village in South Italy. A random sample of 389 adults was genotyped for a very dense microsatellite genome scan and phenotyped for EH. Of this sample, 173 affected individuals were all related through a 2,180-member pedigree and could be integrated within a linkage analysis. The complexity of the pedigree prevented its direct use for a non-parametric linkage (NPL) analysis. Therefore, the method proposed by Falchi et al. [2004, Am. J. Hum. Genet., 75, 1015-1031] was used for automatic pedigree-breaking. We identified a new locus for EH on chromosome 8q22-23 and detected linkage with two known loci for EH: 1q42-43 and 4p16. Simulations showed that the linkage with 8q22-23 is highly genome-wide significant, even when accounting for the breaking of the pedigree. An extension to qualitative traits of another pedigree-breaking approach [Pankratz et al., 2001, Genet. Epidemiol., 21 (Suppl. 1), S258-S263] also detected a significant linkage on 8q22-23 using a remarkably different set of sub-pedigrees and helped to refine the location of the linkage signal. This work both identifies a new locus strongly linked to hypertension and shows that the power of linkage analysis can be improved by the appropriate use of efficient pedigree-breaking strategies.

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Year:  2006        PMID: 16611673     DOI: 10.1093/hmg/ddl097

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  18 in total

Review 1.  Between candidate genes and whole genomes: time for alternative approaches in blood pressure genetics.

Authors:  Jacob Basson; Jeannette Simino; D C Rao
Journal:  Curr Hypertens Rep       Date:  2012-02       Impact factor: 5.369

2.  Campora: a young genetic isolate in South Italy.

Authors:  Vincenza Colonna; Teresa Nutile; Maria Astore; Ombretta Guardiola; Giuliano Antoniol; Marina Ciullo; M Graziella Persico
Journal:  Hum Hered       Date:  2007-05-02       Impact factor: 0.444

3.  Comparing population structure as inferred from genealogical versus genetic information.

Authors:  Vincenza Colonna; Teresa Nutile; Ronald R Ferrucci; Giulio Fardella; Mario Aversano; Guido Barbujani; Marina Ciullo
Journal:  Eur J Hum Genet       Date:  2009-06-24       Impact factor: 4.246

4.  Detecting rare variants for complex traits using family and unrelated data.

Authors:  Xiaofeng Zhu; Tao Feng; Yali Li; Qing Lu; Robert C Elston
Journal:  Genet Epidemiol       Date:  2010-02       Impact factor: 2.135

5.  Two-marker association tests yield new disease associations for coronary artery disease and hypertension.

Authors:  Thomas P Slavin; Tao Feng; Audrey Schnell; Xiaofeng Zhu; Robert C Elston
Journal:  Hum Genet       Date:  2011-05-28       Impact factor: 4.132

6.  Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension.

Authors:  Xiaofeng Zhu; Tao Feng; Bamidele O Tayo; Jingjing Liang; J Hunter Young; Nora Franceschini; Jennifer A Smith; Lisa R Yanek; Yan V Sun; Todd L Edwards; Wei Chen; Mike Nalls; Ervin Fox; Michele Sale; Erwin Bottinger; Charles Rotimi; Yongmei Liu; Barbara McKnight; Kiang Liu; Donna K Arnett; Aravinda Chakravati; Richard S Cooper; Susan Redline
Journal:  Am J Hum Genet       Date:  2014-12-11       Impact factor: 11.025

7.  Genome-wide searching of rare genetic variants in WTCCC data.

Authors:  Tao Feng; Xiaofeng Zhu
Journal:  Hum Genet       Date:  2010-06-13       Impact factor: 4.132

8.  PedHunter 2.0 and its usage to characterize the founder structure of the Old Order Amish of Lancaster County.

Authors:  Woei-Jyh Lee; Toni I Pollin; Jeffrey R O'Connell; Richa Agarwala; Alejandro A Schäffer
Journal:  BMC Med Genet       Date:  2010-05-02       Impact factor: 2.103

9.  A multiple splitting approach to linkage analysis in large pedigrees identifies a linkage to asthma on chromosome 12.

Authors:  Céline Bellenguez; Carole Ober; Catherine Bourgain
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

10.  Heritability and demographic analyses in the large isolated population of Val Borbera suggest advantages in mapping complex traits genes.

Authors:  Michela Traglia; Cinzia Sala; Corrado Masciullo; Valeria Cverhova; Francesca Lori; Giorgio Pistis; Silvia Bione; Paolo Gasparini; Sheila Ulivi; Marina Ciullo; Teresa Nutile; Emanuele Bosi; Marcella Sirtori; Giovanna Mignogna; Alessandro Rubinacci; Iwan Buetti; Clara Camaschella; Enrico Petretto; Daniela Toniolo
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

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