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Pregled bibliografske jedinice broj: 389430

A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate


Barbalić, Maja; Smolej Narančić, Nina; Škarić-Jurić, Tatjana; Peričić Salihović, Marijana; Martinović Klarić, Irena; Barač Lauc, Lovorka; Janićijević, Branka; Farrall, Martin; Rudan, Igor; Campbell, Harry et al.
A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate // American Journal of Hypertension, 22 (2009), 6; 663-668 doi:10.1038/ajh.2009.46 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 389430 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate

Autori
Barbalić, Maja ; Smolej Narančić, Nina ; Škarić-Jurić, Tatjana ; Peričić Salihović, Marijana ; Martinović Klarić, Irena ; Barač Lauc, Lovorka ; Janićijević, Branka ; Farrall, Martin ; Rudan, Igor ; Campbell, Harry ; Wright, Alan F. ; Hastie, Nicholas D. ; Rudan, Pavao

Izvornik
American Journal of Hypertension (0895-7061) 22 (2009), 6; 663-668

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
blood pressure; genetics; polymorphisms; population isolates

Sažetak
Background: Population isolates are characterized by simplified genetic background and as such present promising opportunities for studying complex diseases. We performed a genome-wide linkage analysis for systolic (SBP) and diastolic blood pressure (DBP) followed up by the association analysis in the Croatian isolated island of Vis, where a very high prevalence of hypertension was reported (75%). Methods: Variance-components linkage analysis was used to map quantitative trait loci (QTL) for SBP and DBP in 125 families with 1, 389 members. Follow-up association analysis was performed in a sample of 421 subjects from the island of Vis. The 15 top-ranking single nucleotide polymorphisms (SNPs) were selected and tested for the association by in silico replication in the British 1958 Birth Cohort DNA Collection. Results: Linkage results showed evidence for a QTL influencing DBP (lod = 1.89) on chromosome 7p14.2 and two QTL influencing SBP (lod = 2.03 on chromosome 1p36 and lod = 1.75 on chromosome 20q13). For the association results, the replication was observed for the rs237484 polymorphism on chromosome 20 that was associated with SBP with the effect size = -5.2 (P = 0.001 ; per A allele) in Vis population and = -1.1 (P = 0.04) in the British 1958 Birth Cohort. rs237484 is in proximity to the potassium voltage gate channel gene (KCNB1) and close to the prostaglandin I2 (prostacyclin) synthase gene (PTGIS). Conclusions: These results provide evidence of a QTL influencing blood pressure (BP) variability in this region and support the notion that the isolated population of the island of Vis is a suitable population for conducting linkage and association analyses of cardiovascular-related phenotypes.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Javno zdravstvo i zdravstvena zaštita, Etnologija i antropologija



POVEZANOST RADA


Projekti:
196-1962766-2747 - Kompleksna obilježja i zdravlje stanovništva od djetinjstva do duboke starosti (Smolej-Narančić, Nina, MZOS ) ( CroRIS)
196-1962766-2751 - Populacijska struktura Hrvatske - antropogenetički pristup (Rudan, Pavao, MZOS ) ( CroRIS)
196-1962766-2763 - Molekularno-genetička obilježja populacija utemeljitelja - Romi kao model (Janićijević, Branka, MZOS ) ( CroRIS)
216-1080315-0302 - Odrednice zdravlja i bolesti u općoj i izoliranim ljudskim populacijama (Polašek, Ozren, MZOS ) ( CroRIS)

Ustanove:
Medicinski fakultet, Zagreb,
Institut za antropologiju

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Barbalić, Maja; Smolej Narančić, Nina; Škarić-Jurić, Tatjana; Peričić Salihović, Marijana; Martinović Klarić, Irena; Barač Lauc, Lovorka; Janićijević, Branka; Farrall, Martin; Rudan, Igor; Campbell, Harry et al.
A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate // American Journal of Hypertension, 22 (2009), 6; 663-668 doi:10.1038/ajh.2009.46 (međunarodna recenzija, članak, znanstveni)
Barbalić, M., Smolej Narančić, N., Škarić-Jurić, T., Peričić Salihović, M., Martinović Klarić, I., Barač Lauc, L., Janićijević, B., Farrall, M., Rudan, I. & Campbell, H. (2009) A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate. American Journal of Hypertension, 22 (6), 663-668 doi:10.1038/ajh.2009.46.
@article{article, author = {Barbali\'{c}, Maja and Smolej Naran\v{c}i\'{c}, Nina and \v{S}kari\'{c}-Juri\'{c}, Tatjana and Peri\v{c}i\'{c} Salihovi\'{c}, Marijana and Martinovi\'{c} Klari\'{c}, Irena and Bara\v{c} Lauc, Lovorka and Jani\'{c}ijevi\'{c}, Branka and Farrall, Martin and Rudan, Igor and Campbell, Harry and Wright, Alan F. and Hastie, Nicholas D. and Rudan, Pavao}, year = {2009}, pages = {663-668}, DOI = {10.1038/ajh.2009.46}, keywords = {blood pressure, genetics, polymorphisms, population isolates}, journal = {American Journal of Hypertension}, doi = {10.1038/ajh.2009.46}, volume = {22}, number = {6}, issn = {0895-7061}, title = {A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate}, keyword = {blood pressure, genetics, polymorphisms, population isolates} }
@article{article, author = {Barbali\'{c}, Maja and Smolej Naran\v{c}i\'{c}, Nina and \v{S}kari\'{c}-Juri\'{c}, Tatjana and Peri\v{c}i\'{c} Salihovi\'{c}, Marijana and Martinovi\'{c} Klari\'{c}, Irena and Bara\v{c} Lauc, Lovorka and Jani\'{c}ijevi\'{c}, Branka and Farrall, Martin and Rudan, Igor and Campbell, Harry and Wright, Alan F. and Hastie, Nicholas D. and Rudan, Pavao}, year = {2009}, pages = {663-668}, DOI = {10.1038/ajh.2009.46}, keywords = {blood pressure, genetics, polymorphisms, population isolates}, journal = {American Journal of Hypertension}, doi = {10.1038/ajh.2009.46}, volume = {22}, number = {6}, issn = {0895-7061}, title = {A Quantitative Trait Locus for SBP Maps Near KCNB1 and PTGIS in a Population Isolate}, keyword = {blood pressure, genetics, polymorphisms, population isolates} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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  • MEDLINE


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