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71.
  • Randall, Joshua C., et al. (författare)
  • Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits
  • 2013
  • Ingår i: PLOS Genetics. - 1553-7390 .- 1553-7404. ; 9:6, s. e1003500
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR&lt;5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P&lt;5x10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.</p>
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72.
  • Randall, Joshua C, et al. (författare)
  • Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits
  • 2013
  • Ingår i: PLoS Genetics. - Public Library Science. - 1553-7390 .- 1553-7404. ; 9:6, s. e1003500
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR&lt;5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P&lt;5×10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.</p>
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73.
  • Repapi, Emmanouela, et al. (författare)
  • Genome-wide association study identifies five loci associated with lung function.
  • 2010
  • Ingår i: Nature genetics. - 1546-1718. ; 42:1, s. 36-44
  • Tidskriftsartikel (refereegranskat)abstract
    • Pulmonary function measures are heritable traits that predict morbidity and mortality and define chronic obstructive pulmonary disease (COPD). We tested genome-wide association with forced expiratory volume in 1 s (FEV(1)) and the ratio of FEV(1) to forced vital capacity (FVC) in the SpiroMeta consortium (n = 20,288 individuals of European ancestry). We conducted a meta-analysis of top signals with data from direct genotyping (n < or = 32,184 additional individuals) and in silico summary association data from the CHARGE Consortium (n = 21,209) and the Health 2000 survey (n < or = 883). We confirmed the reported locus at 4q31 and identified associations with FEV(1) or FEV(1)/FVC and common variants at five additional loci: 2q35 in TNS1 (P = 1.11 x 10(-12)), 4q24 in GSTCD (2.18 x 10(-23)), 5q33 in HTR4 (P = 4.29 x 10(-9)), 6p21 in AGER (P = 3.07 x 10(-15)) and 15q23 in THSD4 (P = 7.24 x 10(-15)). mRNA analyses showed expression of TNS1, GSTCD, AGER, HTR4 and THSD4 in human lung tissue. These associations offer mechanistic insight into pulmonary function regulation and indicate potential targets for interventions to alleviate respiratory disease.
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74.
  • Repapi, Emmanouela, et al. (författare)
  • Genome-wide association study identifies five loci associated with lung function
  • 2010
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 42:1, s. 36-44
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Pulmonary function measures are heritable traits that predict morbidity and mortality and define chronic obstructive pulmonary disease (COPD). We tested genome-wide association with forced expiratory volume in 1 s (FEV<sub>1</sub>) and the ratio of FEV<sub>1</sub> to forced vital capacity (FVC) in the SpiroMeta consortium (<em>n</em> = 20,288 individuals of European ancestry). We conducted a meta-analysis of top signals with data from direct genotyping (<em>n</em> ≤ 32,184 additional individuals) and <em>in silico</em> summary association data from the CHARGE Consortium (<em>n</em> = 21,209) and the Health 2000 survey (<em>n</em> ≤ 883). We confirmed the reported locus at 4q31 and identified associations with FEV<sub>1</sub> or FEV<sub>1</sub>/FVC and common variants at five additional loci: 2q35 in <em>TNS1</em> (<em>P</em> = 1.11 × 10<sup>−12</sup>), 4q24 in <em>GSTCD</em> (2.18 × 10<sup>−23</sup>), 5q33 in <em>HTR4</em> (<em>P</em> = 4.29 × 10<sup>−9</sup>), 6p21 in <em>AGER</em> (<em>P</em> = 3.07 × 10<sup>−15</sup>) and 15q23 in <em>THSD4</em> (<em>P</em> = 7.24 × 10<sup>−15</sup>). mRNA analyses showed expression of <em>TNS1</em>, <em>GSTCD</em>, <em>AGER</em>, <em>HTR4</em> and <em>THSD4</em> in human lung tissue. These associations offer mechanistic insight into pulmonary function regulation and indicate potential targets for interventions to alleviate respiratory disease.</p>
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75.
  • Rietveld, Cornelius A., et al. (författare)
  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
  • 2013
  • Ingår i: Science. - 0036-8075 .- 1095-9203. ; 340:6139, s. 1467-1471
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R-2 approximate to 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for approximate to 2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.</p>
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76.
  • Ripatti, Samuli, et al. (författare)
  • A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses
  • 2010
  • Ingår i: The Lancet. - Elsevier. - 1474-547X. ; 376:9750, s. 1393-1400
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Comparison of patients with coronary heart disease and controls in genome-wide association studies has revealed several single nucleotide polymorphisms (SNPs) associated with coronary heart disease. We aimed to establish the external validity of these findings and to obtain more precise risk estimates using a prospective cohort design. Methods We tested 13 recently discovered SNPs for association with coronary heart disease in a case-control design including participants differing from those in the discovery samples (3829 participants with prevalent coronary heart disease and 48 897 controls free of the disease) and a prospective cohort design including 30 725 participants free of cardiovascular disease from Finland and Sweden. We modelled the 13 SNPs as a multilocus genetic risk score and used Cox proportional hazards models to estimate the association of genetic risk score with incident coronary heart disease. For case-control analyses we analysed associations between individual SNPs and quintiles of genetic risk score using logistic regression. Findings In prospective cohort analyses, 1264 participants had a first coronary heart disease event during a median 10.7 years' follow-up (IQR 6.7-13.6). Genetic risk score was associated with a first coronary heart disease event. When compared with the bottom quintile of genetic risk score, participants in the top quintile were at 1.66-times increased risk of coronary heart disease in a model adjusting for traditional risk factors (95% CI 1.35-2.04, p value for linear trend=7.3x10(-10)). Adjustment for family history did not change these estimates. Genetic risk score did not improve C index over traditional risk factors and family history (p=0.19), nor did it have a significant effect on net reclassification improvement (2.2%, p=0.18); however, it did have a small effect on integrated discrimination index (0.004, p=0.0006). Results of the case-control analyses were similar to those of the prospective cohort analyses. Interpretation Using a genetic risk score based on 13 SNPs associated with coronary heart disease, we can identify the 20% of individuals of European ancestry who are at roughly 70% increased risk of a first coronary heart disease event. The potential clinical use of this panel of SNPs remains to be defined.
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77.
  • Ripatti, Samuli, et al. (författare)
  • GENESTAT : an information portal for design and analysis of genetic association studies
  • 2009
  • Ingår i: European Journal of Human Genetics. - 1018-4813 .- 1476-5438. ; 17:4, s. 533-536
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>We present the rationale, the background and the structure for version 2.0 of the GENESTAT information portal (www.genestat.org) for statistical genetics. The fast methodological advances, coupled with a range of standalone software, makes it difficult for expert as well as non-expert users to orientate when designing and analysing their genetic studies. The ultimate ambition of GENESTAT is to guide on statistical methodology related to the broad spectrum of research in genetic epidemiology. GENESTAT 2.0 focuses on genetic association studies. Each entry provides a summary of a topic and gives links to key papers, websites and software. The flexibility of the internet is utilised for cross-referencing and for open editing. This paper gives an overview of GENESTAT and gives short introductions to the current main topics in GENESTAT, with additional entries on the website. Methods and software developers are invited to contribute to the portal, which is powered by a Wikipedia-type engine and allows easy additions and editing.</p>
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78.
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79.
  • Ripatti, Samuli (författare)
  • Latent variable models for multivariate survival and count data
  • 2001
  • Doktorsavhandling (övrigt vetenskapligt)abstract
    • <p>This thesis consists of three papers on multivariate frailty models and one paper on the use of latent class models in genetic association studies. The common theme through the four papers is the use of latent variables to capture complex dependence structures in the data. The multivariate frailty models define a hazard regression framework to describe general dependence structures in survival data. In the first three papers, three different estimation strategies for multivariate frailty models are presented: (i) an approximate maximum likelihood method leading to estimation equations based on penalized partial likelihood, (ii) a stochastic approximation of the marginal likelihood function using the MCEM algorithm, and (iii) a fully Bayesian frailty model with smoothed baseline hazard. The multivariate frailty models are illustrated with data on hip endoprosthesis, rat carcinogenesis, rose vase lifetime and age at dementia onset in twins.</p><p>In Paper IV, a latent class model is used to capture unmeasured heterogeneity due to two unknown underlying populations in a genetic population based case-control study. The information about the underlying populations is drawn from additional unlinked genetic markers genotyped from different chromosomes. Association between the candidate gene and the disease is tested with two nested latent class models.</p><p>In the summary of the thesis, parallel developments in multivariate extensions of the generalized linear model and the multiplicative hazard model are reviewed. The focus is on the estimation and computational aspects of fitting random effects models and on the relative merits of the different methods. </p>
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80.
  • Scott, Robert A., et al. (författare)
  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans
  • 2017
  • Ingår i: Diabetes. - 0012-1797 .- 1939-327X. ; 66:11, s. 2888-2902
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci (P &lt; 5 x 10(-8)), including variants near the GLP2R, GIP, and HLA-DQA1 genes. Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci. Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants. Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes. Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci. These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology.</p>
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