title: Genome-wide association study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia.
abstract: Many common diseases are accompanied by disturbances in biochemical traits. Identifying the genetic determinants could provide novel insights into disease mechanisms and reveal avenues for developing new therapies. Here, we report a genome-wide association analysis for commonly measured serum and urine biochemical traits. As part of the WTCCC, 500,000 SNPs genome wide were genotyped in 1955 hypertensive individuals characterized for 25 serum and urine biochemical traits. For each trait, we assessed association with individual SNPs, adjusting for age, sex, and BMI. Lipid measurements were further examined in a meta-analysis of genome-wide data from a type 2 diabetes scan. The most promising associations were examined in two epidemiological cohorts. We discovered association between serum urate and SLC2A9, a glucose transporter (p = 2 x 10(-15)) and confirmed this in two independent cohorts, GRAPHIC study (p = 9 x 10(-15)) and TwinsUK (p = 8 x 10(-19)). The odds ratio for hyperuricaemia (defined as urate >0.4 mMol/l) is 1.89 (95% CI = 1.36-2.61) per copy of common allele. We also replicated many genes previously associated with serum lipids and found previously recognized association between LDL levels and SNPs close to genes encoding PSRC1 and CELSR2 (p = 1 x 10(-7)). The common allele was associated with a 6% increase in nonfasting serum LDL. This region showed increased association in the meta-analysis (p = 4 x 10(-14)). This finding provides a potential biological mechanism for the recent association of this same allele of the same SNP with increased risk of coronary disease.
authors.affiliation: Clinical Pharmacology and The Genome Centre, Barts and The London, Queen Mary's School of Medicine and Dentistry, London, EC1M 6BQ, UK.
authors.forename: Chris
authors.initials: C
authors.lastname: Wallace
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Newhouse
authors.forename: Peter
authors.initials: P
authors.lastname: Braund
authors.forename: Feng
authors.initials: F
authors.lastname: Zhang
authors.forename: Martin
authors.initials: M
authors.lastname: Tobin
authors.forename: Mario
authors.initials: M
authors.lastname: Falchi
authors.forename: Kourosh
authors.initials: K
authors.lastname: Ahmadi
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Dobson
authors.forename: Ana Carolina B
authors.initials: AC
authors.lastname: Marçano
authors.forename: Cother
authors.initials: C
authors.lastname: Hajat
authors.forename: Paul
authors.initials: P
authors.lastname: Burton
authors.forename: Panagiotis
authors.initials: P
authors.lastname: Deloukas
authors.forename: Morris
authors.initials: M
authors.lastname: Brown
authors.forename: John M
authors.initials: JM
authors.lastname: Connell
authors.forename: Anna
authors.initials: A
authors.lastname: Dominiczak
authors.forename: G Mark
authors.initials: GM
authors.lastname: Lathrop
authors.forename: John
authors.initials: J
authors.lastname: Webster
authors.forename: Martin
authors.initials: M
authors.lastname: Farrall
authors.forename: Tim
authors.initials: T
authors.lastname: Spector
authors.forename: Nilesh J
authors.initials: NJ
authors.lastname: Samani
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Caulfield
authors.forename: Patricia B
authors.initials: PB
authors.lastname: Munroe
mesh_terms: D000368:Aged; D015415:Biomarkers; D002318:Cardiovascular Diseases / Q000235:genetics*; D050171:Dyslipidemias / Q000235:genetics*; D005260:Female; D015894:Genome, Human; D006801:Humans; D008055:Lipids / Q000032:analysis; D008297:Male; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D014527:Uric Acid / Q000097:blood
chemical_list: D015415:Biomarkers; D008055:Lipids; D014527:Uric Acid