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Article: Association of essential hypertension with a microsatellite marker on chromosome 17

TitleAssociation of essential hypertension with a microsatellite marker on chromosome 17
Authors
KeywordsChromosomes
Genetics
Microsatellite
Obesity
Polymorphism
Issue Date2005
PublisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/jhh
Citation
Journal Of Human Hypertension, 2005, v. 19 n. 5, p. 407-411 How to Cite?
AbstractHypertension is related to sodium intake, and many patients with essential hypertension are overweight and have the metabolic syndrome. We therefore studied microsatellite markers close to the thiazide-sensitive Na-Cl cotransporter on chromosome 16 and a quantitative trait locus for abdominal obesity-metabolic syndrome (AOMS2) on chromosome 17, which have been found to be linked to hypertension in a previous genome scan in Chinese. There were 84 hypertensive subjects (44 men, 40 women, age 53±13 years) and 88 normotensive controls (40 men, 48 women, age 54±13 years) recruited. Specific oligonucleotide primers were used to amplify genomic DNA spanning the microsatellite markers D16S3396 and D17S1303 that consist of ATA and GATA repeats, respectively. We did not find any association between D16S3396 and blood pressure. In contrast, the distribution of D17S1303 genotypes differed between hypertensive subjects and normal controls (P=0.014). The number of GATA repeats correlated inversely with diastolic blood pressure (r=-0.18, P= 0.02) and body mass index (r=-0.12, P=0.01). Nine GATA repeats in D17S1303 were associated with hypertension (OR 2.19, 95% CI 1.08-4.44, P=0.027), while 14 GATA repeats were associated with normotension (OR 0.26, 95% CI 0.10-0.66, P=0.002). The diastolic blood pressure in those with or without the (GATA)9 allele was 85.9±13.6 and 79.2±13.6 mmHg respectively (P=0.01), and in those with or without the (GATA)14 allele it was 73.8±11.0 and 81.8±14.0 mmHg respectively (P=0.003). Our results provide further evidence that a gene predisposing to hypertension in Chinese is in the vicinity of the microsatellite D17S1303. © 2005 Nature Publishing Group All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/91452
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 0.753
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, BMYen_HK
dc.contributor.authorLeung, RYHen_HK
dc.contributor.authorMan, YBen_HK
dc.contributor.authorWong, LYFen_HK
dc.contributor.authorLau, CPen_HK
dc.date.accessioned2010-09-17T10:19:38Z-
dc.date.available2010-09-17T10:19:38Z-
dc.date.issued2005en_HK
dc.identifier.citationJournal Of Human Hypertension, 2005, v. 19 n. 5, p. 407-411en_HK
dc.identifier.issn0950-9240en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91452-
dc.description.abstractHypertension is related to sodium intake, and many patients with essential hypertension are overweight and have the metabolic syndrome. We therefore studied microsatellite markers close to the thiazide-sensitive Na-Cl cotransporter on chromosome 16 and a quantitative trait locus for abdominal obesity-metabolic syndrome (AOMS2) on chromosome 17, which have been found to be linked to hypertension in a previous genome scan in Chinese. There were 84 hypertensive subjects (44 men, 40 women, age 53±13 years) and 88 normotensive controls (40 men, 48 women, age 54±13 years) recruited. Specific oligonucleotide primers were used to amplify genomic DNA spanning the microsatellite markers D16S3396 and D17S1303 that consist of ATA and GATA repeats, respectively. We did not find any association between D16S3396 and blood pressure. In contrast, the distribution of D17S1303 genotypes differed between hypertensive subjects and normal controls (P=0.014). The number of GATA repeats correlated inversely with diastolic blood pressure (r=-0.18, P= 0.02) and body mass index (r=-0.12, P=0.01). Nine GATA repeats in D17S1303 were associated with hypertension (OR 2.19, 95% CI 1.08-4.44, P=0.027), while 14 GATA repeats were associated with normotension (OR 0.26, 95% CI 0.10-0.66, P=0.002). The diastolic blood pressure in those with or without the (GATA)9 allele was 85.9±13.6 and 79.2±13.6 mmHg respectively (P=0.01), and in those with or without the (GATA)14 allele it was 73.8±11.0 and 81.8±14.0 mmHg respectively (P=0.003). Our results provide further evidence that a gene predisposing to hypertension in Chinese is in the vicinity of the microsatellite D17S1303. © 2005 Nature Publishing Group All rights reserved.en_HK
dc.languageengen_HK
dc.publisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/jhhen_HK
dc.relation.ispartofJournal of Human Hypertensionen_HK
dc.subjectChromosomes-
dc.subjectGenetics-
dc.subjectMicrosatellite-
dc.subjectObesity-
dc.subjectPolymorphism-
dc.subject.meshAllelesen_HK
dc.subject.meshBlood Pressure - physiologyen_HK
dc.subject.meshBody Mass Indexen_HK
dc.subject.meshChromosomes, Human, Pair 17 - geneticsen_HK
dc.subject.meshDNA - geneticsen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshGene Frequencyen_HK
dc.subject.meshGenetic Markersen_HK
dc.subject.meshGenetic Predisposition to Diseaseen_HK
dc.subject.meshHong Kong - epidemiologyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshHypertension - blood - epidemiology - genetics - physiopathologyen_HK
dc.subject.meshIncidenceen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMicrosatellite Repeats - geneticsen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshObesity - blood - complications - geneticsen_HK
dc.subject.meshOdds Ratioen_HK
dc.subject.meshPolymerase Chain Reactionen_HK
dc.subject.meshPolymorphism, Geneticen_HK
dc.subject.meshPotassium - blooden_HK
dc.subject.meshRisk Factorsen_HK
dc.subject.meshSodium - blooden_HK
dc.titleAssociation of essential hypertension with a microsatellite marker on chromosome 17en_HK
dc.typeArticleen_HK
dc.identifier.emailCheung, BMY:mycheung@hku.hken_HK
dc.identifier.authorityCheung, BMY=rp01321en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/sj.jhh.1001835en_HK
dc.identifier.pmid15716982-
dc.identifier.scopuseid_2-s2.0-18644377834en_HK
dc.identifier.hkuros180188-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-18644377834&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue5en_HK
dc.identifier.spage407en_HK
dc.identifier.epage411en_HK
dc.identifier.isiWOS:000228465900012-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCheung, BMY=7103294806en_HK
dc.identifier.scopusauthoridLeung, RYH=7101876102en_HK
dc.identifier.scopusauthoridMan, YB=10245005900en_HK
dc.identifier.scopusauthoridWong, LYF=24476809800en_HK
dc.identifier.scopusauthoridLau, CP=7401968501en_HK
dc.identifier.citeulike97194-
dc.identifier.issnl0950-9240-

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