title: Haplotype of signal transducer and activator of transcription 3 gene predicts cardiovascular disease in dialysis patients.
abstract: Signal transducer and activator of transcription 3 (STAT3) protein has been linked to cardiovascular disease (CVD) through multiple pathways in experimental and animal studies. STAT3 gene variation was examined as a predictor of incident CVD in a subcohort of 529 incident white dialysis patients. Fifteen single-nucleotide polymorphisms of the STAT3 gene were genotyped. Haplotypes were estimated using software PHASE 2.1, and associations with first CVD event were tested using Cox proportional hazards analysis. Adjusted global tests of haplotype association with incident CVD and inflammation markers were performed using permutated P value in R-package Haplo.score. An a priori specified additive genetic model was assumed for haplotype analysis. Both genotypes (four single nucleotide polymorphisms with P < 0.001) and haplotypes (P = 0.002 overall) were associated with incident CVD. Two major haplotype blocks, blocks A and C, were identified. Compared with common haplotype A-1, A-3 was associated with a hazard ratio (HR) of 0.70 (95% confidence interval [CI] 0.51 to 0.94) for CVD events after adjustment for covariates including C-reactive protein (CRP) and interleukin 6. Compared with common haplotype C-1, C-3 was associated with an adjusted HR of 2.12 (95% CI 1.25 to 3.57) for CVD events. Associations were independent of inflammation markers, but IL-6 levels were 14% lower (geometric mean ratio 0.86; 95% CI 0.77 to 0.96) per copy of haplotype A-3 compared with haplotype A-1 in block A after adjustment for CRP and other risk factors (P = 0.008). Variation in the STAT3 gene is associated with the risk for CVD among white dialysis patients independent of serum IL-6 and CRP levels.
authors.affiliation: Department of Epidemiology, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
authors.forename: Lin
authors.initials: L
authors.lastname: Zhang
authors.forename: W H Linda
authors.initials: WH
authors.lastname: Kao
authors.forename: Yvette
authors.initials: Y
authors.lastname: Berthier-Schaad
authors.forename: Yongmei
authors.initials: Y
authors.lastname: Liu
authors.forename: Laura
authors.initials: L
authors.lastname: Plantinga
authors.forename: Bernard G
authors.initials: BG
authors.lastname: Jaar
authors.forename: Nancy
authors.initials: N
authors.lastname: Fink
authors.forename: Neil
authors.initials: N
authors.lastname: Powe
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Klag
authors.forename: Michael W
authors.initials: MW
authors.lastname: Smith
authors.forename: Josef
authors.initials: J
authors.lastname: Coresh
mesh_terms: D000368:Aged; D000483:Alleles; D002097:C-Reactive Protein / Q000032:analysis; D002318:Cardiovascular Diseases / Q000097:blood* / Q000175:diagnosis* / Q000453:epidemiology / Q000503:physiopathology; D015331:Cohort Studies; D005260:Female; D005787:Gene Frequency; D014644:Genetic Variation; D006239:Haplotypes; D006801:Humans; D015994:Incidence; D015850:Interleukin-6 / Q000097:blood; D008297:Male; D008875:Middle Aged; D015337:Multicenter Studies as Topic; D020641:Polymorphism, Single Nucleotide; D011237:Predictive Value of Tests; D011446:Prospective Studies; D006435:Renal Dialysis / Q000009:adverse effects / Q000379:methods*; D012307:Risk Factors; D050796:STAT3 Transcription Factor / Q000235:genetics*; D044465:White People / Q000706:statistics & numerical data
chemical_list: D015850:Interleukin-6; D050796:STAT3 Transcription Factor; D002097:C-Reactive Protein