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Sökning: WFRF:(Cupples L. Adrienne) > (2005-2009)

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1.
  • Heard-Costa, Nancy L, et al. (författare)
  • NRXN3 is a novel locus for waist circumference : a genome-wide association study from the CHARGE Consortium
  • 2009
  • Ingår i: PLoS genetics. - 1553-7404. ; 5:6, s. e1000539
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist circumference (WC). In total, three loci reached genome-wide significance. In stage 1, 31,373 individuals of Caucasian descent from eight cohort studies confirmed the role of <em>FTO</em> and <em>MC4R</em> and identified one novel locus associated with WC in the neurexin 3 gene [<em>NRXN3</em> (rs10146997, p = 6.4×10<sup>−7</sup>)]. The association with <em>NRXN3</em> was confirmed in stage 2 by combining stage 1 results with those from 38,641 participants in the GIANT consortium (p = 0.009 in GIANT only, p = 5.3×10<sup>−8</sup> for combined analysis, n = 70,014). Mean WC increase per copy of the G allele was 0.0498 z-score units (0.65 cm). This SNP was also associated with body mass index (BMI) [p = 7.4×10<sup>−6</sup>, 0.024 z-score units (0.10 kg/m<sup>2</sup>) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95% CI 1.07–1.19; p = 3.2×10<sup>−5</sup> per copy of the G allele). The <em>NRXN3</em> gene has been previously implicated in addiction and reward behavior, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder. Our findings establish that common variants in <em>NRXN3</em> are associated with WC, BMI, and obesity.</p>
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2.
  • Kathiresan, Sekar, et al. (författare)
  • Common variants at 30 loci contribute to polygenic dyslipidemia
  • 2009
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1546-1718. ; 41:1, s. 56-65
  • Tidskriftsartikel (refereegranskat)abstract
    • Blood low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglyceride levels are risk factors for cardiovascular disease. To dissect the polygenic basis of these traits, we conducted genome-wide association screens in 19,840 individuals and replication in up to 20,623 individuals. We identified 30 distinct loci associated with lipoprotein concentrations (each with P < 5 x 10(-8)), including 11 loci that reached genome-wide significance for the first time. The 11 newly defined loci include common variants associated with LDL cholesterol near ABCG8, MAFB, HNF1A and TIMD4; with HDL cholesterol near ANGPTL4, FADS1-FADS2-FADS3, HNF4A, LCAT, PLTP and TTC39B; and with triglycerides near AMAC1L2, FADS1-FADS2-FADS3 and PLTP. The proportion of individuals exceeding clinical cut points for high LDL cholesterol, low HDL cholesterol and high triglycerides varied according to an allelic dosage score (P < 10(-15) for each trend). These results suggest that the cumulative effect of multiple common variants contributes to polygenic dyslipidemia.
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3.
  • Prokopenko, Inga, et al. (författare)
  • Variants in MTNR1B influence fasting glucose levels
  • 2009
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1546-1718. ; 41:1, s. 77-81
  • Tidskriftsartikel (refereegranskat)abstract
    • To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.
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4.
  • Kathiresan, Sekar, et al. (författare)
  • A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study
  • 2007
  • Ingår i: BMC Medical Genetics. - BioMed Central (BMC). - 1471-2350. ; 8
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Blood lipid levels including low-density lipoprotein cholesterol ( LDL-C), high-density lipoprotein cholesterol ( HDL-C), and triglycerides ( TG) are highly heritable. Genome-wide association is a promising approach to map genetic loci related to these heritable phenotypes. Methods: In 1087 Framingham Heart Study Offspring cohort participants ( mean age 47 years, 52% women), we conducted genome-wide analyses ( Affymetrix 100K GeneChip) for fasting blood lipid traits. Total cholesterol, HDL-C, and TG were measured by standard enzymatic methods and LDL-C was calculated using the Friedewald formula. The long-term averages of up to seven measurements of LDL-C, HDL-C, and TG over a similar to 30 year span were the primary phenotypes. We used generalized estimating equations ( GEE), family-based association tests ( FBAT) and variance components linkage to investigate the relationships between SNPs ( on autosomes, with minor allele frequency >= 10%, genotypic call rate >= 80%, and Hardy-Weinberg equilibrium p >= 0.001) and multivariable-adjusted residuals. We pursued a three-stage replication strategy of the GEE association results with 287 SNPs ( P < 0.001 in Stage I) tested in Stage II ( n similar to 1450 individuals) and 40 SNPs ( P < 0.001 in joint analysis of Stages I and II) tested in Stage III ( n similar to 6650 individuals). Results: Long-term averages of LDL-C, HDL-C, and TG were highly heritable ( h(2) = 0.66, 0.69, 0.58, respectively; each P < 0.0001). Of 70,987 tests for each of the phenotypes, two SNPs had p < 10(-5) in GEE results for LDL-C, four for HDL-C, and one for TG. For each multivariable-adjusted phenotype, the number of SNPs with association p < 10(-4) ranged from 13 to 18 and with p < 10(-3), from 94 to 149. Some results confirmed previously reported associations with candidate genes including variation in the lipoprotein lipase gene ( LPL) and HDL-C and TG ( rs7007797; P = 0.0005 for HDL-C and 0.002 for TG). The full set of GEE, FBAT and linkage results are posted at the database of Genotype and Phenotype (dbGaP). After three stages of replication, there was no convincing statistical evidence for association ( i.e., combined P < 10(-5) across all three stages) between any of the tested SNPs and lipid phenotypes. Conclusion: Using a 100K genome-wide scan, we have generated a set of putative associations for common sequence variants and lipid phenotypes. Validation of selected hypotheses in additional samples did not identify any new loci underlying variability in blood lipids. Lack of replication may be due to inadequate statistical power to detect modest quantitative trait locus effects ( i.e., < 1% of trait variance explained) or reduced genomic coverage of the 100K array. GWAS in FHS using a denser genome-wide genotyping platform and a better-powered replication strategy may identify novel loci underlying blood lipids.
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