Literature DB >> 19114657

From the Cover: Whole-genome association study identifies STK39 as a hypertension susceptibility gene.

Ying Wang1, Jeffrey R O'Connell, Patrick F McArdle, James B Wade, Sarah E Dorff, Sanjiv J Shah, Xiaolian Shi, Lin Pan, Evadnie Rampersaud, Haiqing Shen, James D Kim, Arohan R Subramanya, Nanette I Steinle, Afshin Parsa, Carole C Ober, Paul A Welling, Aravinda Chakravarti, Alan B Weder, Richard S Cooper, Braxton D Mitchell, Alan R Shuldiner, Yen-Pei C Chang.   

Abstract

Hypertension places a major burden on individual and public health, but the genetic basis of this complex disorder is poorly understood. We conducted a genome-wide association study of systolic and diastolic blood pressure (SBP and DBP) in Amish subjects and found strong association signals with common variants in a serine/threonine kinase gene, STK39. We confirmed this association in an independent Amish and 4 non-Amish Caucasian samples including the Diabetes Genetics Initiative, Framingham Heart Study, GenNet, and Hutterites (meta-analysis combining all studies: n = 7,125, P < 10(-6)). The higher BP-associated alleles have frequencies > 0.09 and were associated with increases of 3.3/1.3 mm Hg in SBP/DBP, respectively, in the Amish subjects and with smaller but consistent effects across the non-Amish studies. Cell-based functional studies showed that STK39 interacts with WNK kinases and cation-chloride cotransporters, mutations in which cause monogenic forms of BP dysregulation. We demonstrate that in vivo, STK39 is expressed in the distal nephron, where it may interact with these proteins. Although none of the associated SNPs alter protein structure, we identified and experimentally confirmed a highly conserved intronic element with allele-specific in vitro transcription activity as a functional candidate for this association. Thus, variants in STK39 may influence BP by increasing STK39 expression and consequently altering renal Na(+) excretion, thus unifying rare and common BP-regulating alleles in the same physiological pathway.

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Year:  2008        PMID: 19114657      PMCID: PMC2629209          DOI: 10.1073/pnas.0808358106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

1.  Multi-center genetic study of hypertension: The Family Blood Pressure Program (FBPP).

Authors: 
Journal:  Hypertension       Date:  2002-01       Impact factor: 10.190

2.  Quantitative-trait homozygosity and association mapping and empirical genomewide significance in large, complex pedigrees: fasting serum-insulin level in the Hutterites.

Authors:  Mark Abney; Carole Ober; Mary Sara McPeek
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3.  Diabetes in the Old Order Amish: characterization and heritability analysis of the Amish Family Diabetes Study.

Authors:  W C Hsueh; B D Mitchell; R Aburomia; T Pollin; H Sakul; M Gelder Ehm; B K Michelsen; M J Wagner; P L St Jean; W C Knowler; D K Burns; C J Bell; A R Shuldiner
Journal:  Diabetes Care       Date:  2000-05       Impact factor: 19.112

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6.  Global burden of hypertension: analysis of worldwide data.

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7.  Human hypertension caused by mutations in WNK kinases.

Authors:  F H Wilson; S Disse-Nicodème; K A Choate; K Ishikawa; C Nelson-Williams; I Desitter; M Gunel; D V Milford; G W Lipkin; J M Achard; M P Feely; B Dussol; Y Berland; R J Unwin; H Mayan; D B Simon; Z Farfel; X Jeunemaitre; R P Lifton
Journal:  Science       Date:  2001-08-10       Impact factor: 47.728

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  137 in total

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

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Journal:  Curr Hypertens Rep       Date:  2012-02       Impact factor: 5.369

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Review 4.  Multigene kinase network, kidney transport, and salt in essential hypertension.

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Review 7.  Genome-wide association studies of hypertension: have they been fruitful?

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Review 9.  The thiazide-sensitive Na+-Cl- cotransporter: molecular biology, functional properties, and regulation by WNKs.

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Journal:  Am J Physiol Renal Physiol       Date:  2009-05-27

Review 10.  Kinase mutations in human disease: interpreting genotype-phenotype relationships.

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