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Träfflista för sökning "WFRF:(Rolandsson O) srt2:(2015-2019)"

Search: WFRF:(Rolandsson O) > (2015-2019)

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1.
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2.
  • Jansson, Stefan P. O., 1959-, et al. (author)
  • Prevalence and incidence of diabetes mellitus: a nationwide population-based pharmaco-epidemiological study in Sweden
  • 2015
  • In: Diabetic Medicine. - : WILEY-BLACKWELL. - 0742-3071 .- 1464-5491. ; 32:10, s. 1319-1328
  • Journal article (peer-reviewed)abstract
    • Aim To investigate the changes in prevalence and incidence of pharmacologically and non-pharmacologically treated diabetes in Sweden during 2005 to 2013. Methods We obtained data on gender, date of birth and pharmacologically and non-pharmacologically treated diabetes from national registers for all Swedish residents. Results During the study period a total of 240 871 new cases of pharmacologically treated diabetes was found. The age-standardized incidence during the follow-up was 4.34 and 3.16 per 1000 individuals in men and women, respectively. A decreasing time trend in incidence for men of 0.6% per year (0.994, 95% CI 0.989-0.999) and for women of 0.7% per year (0.993, 95% CI 0.986-0.999) was observed. The age-standardized prevalence increased from 41.9 and 29.9 per 1000 in 2005/2006 to 50.8 and 34.6 in 2012/2013 in men and women, respectively. This corresponds to an annually increasing time trend for both men (1.024, 95% CI 1.022-1.027) and women (1.019, 95% CI 1.016-1.021). The total age-standardized prevalence of pharmacologically and non-pharmacologically treated diabetes (2012) was 46.9 per 1000 (55.6 for men and 38.8 for women). This corresponds to an annually increasing time trend (2010-2012) for both men (1.017, 95% CI 1.013-1.021) and women (1.012, 95% CI 1.008-1.016). Conclusions The prevalence of pharmacologically treated diabetes increased moderately during 8 years of follow-up, while the incidence decreased modestly. This is in contrast to the results reported by most other studies. The total prevalence of diabetes (both pharmacologically and non-pharmacologically treated) in Sweden is relatively low, from a global viewpoint.
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  • Manning, Alisa, et al. (author)
  • A Low-Frequency Inactivating AKT2 Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk
  • 2017
  • In: Diabetes. - : AMER DIABETES ASSOC. - 0012-1797 .- 1939-327X. ; 66:7, s. 2019-2032
  • Journal article (peer-reviewed)abstract
    • To identify novel coding association signals and facilitate characterization of mechanisms influencing glycemic traits and type 2 diabetes risk, we analyzed 109,215 variants derived from exome array genotyping together with an additional 390,225 variants from exome sequence in up to 39,339 normoglycemic individuals from five ancestry groups. We identified a novel association between the coding variant (p.Pro50Thr) in AKT2 and fasting plasma insulin (FI), a gene in which rare fully penetrant mutations are causal for monogenic glycemic disorders. The low-frequency allele is associated with a 12% increase in FI levels. This variant is present at 1.1% frequency in Finns but virtually absent in individuals from other ancestries. Carriers of the FI-increasing allele had increased 2-h insulin values, decreased insulin sensitivity, and increased risk of type 2 diabetes (odds ratio 1.05). In cellular studies, the AKT2-Thr50 protein exhibited a partial loss of function. We extend the allelic spectrum for coding variants in AKT2 associated with disorders of glucose homeostasis and demonstrate bidirectional effects of variants within the pleckstrin homology domain of AKT2.
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5.
  • Marouli, Eirini, et al. (author)
  • Rare and low-frequency coding variants alter human adult height
  • 2017
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 542:7640, s. 186-190
  • Journal article (peer-reviewed)abstract
    • Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower minor-allele frequencies (in the range of 0.1-4.8%) and effects of up to 2 centimetres per allele (such as those in IHH, STC2, AR and CRISPLD2), greater than ten times the average effect of common variants. In functional follow-up studies, rare height increasing alleles of STC2 (giving an increase of 1-2 centimetres per allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes that are mutated in monogenic growth disorders and highlight new biological candidates (such as ADAMTS3, IL11RA and NOX4) and pathways (such as proteoglycan and glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.
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6.
  • Brand, J. S., et al. (author)
  • Diabetes and Onset of Natural Menopause : Results From the European Prospective Investigation Into Cancer and Nutrition EDITORIAL COMMENT
  • 2015
  • In: Obstetrical and Gynecological Survey. - 0029-7828 .- 1533-9866. ; 70:8, s. 507-508
  • Journal article (other academic/artistic)abstract
    • The age at natural menopause (ANM) in the Western world ranges from 40 to 60 years, with an average onset of 51 years. The exact mechanisms underlying the timing of ANM are not completely understood. Both genetic and environmental factors are involved. The best-established environmental factor affecting ANM is smoking; menopause occurs 1 to 2 years earlier in smokers. In addition to genetic and environmental factors, chronic metabolic diseases may influence ANM. Some evidence suggests that diabetes may accelerate menopausal onset. With more women of childbearing age receiving a diagnosis of diabetes, it is important to examine the impact of diabetes on reproductive health. This study was designed to determine whether ANM occurs at an earlier age among women who have diabetes before menopause than in women without diabetes. Data were obtained from the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a large multicenter prospective cohort study investigating the relationship between diet, lifestyle, and genetic factors and the incidence of cancer and other chronic diseases. A cohort of 519,978 men and women, mostly aged 27 to 70 years, were recruited primarily from the general population between 1992 and 2000. A total of 367,331 women participated in the EPIC study. After exclusions, 258,898 of these women met study inclusion criteria. Diabetes status at baseline and menopausal age were based on self-report and were obtained through questionnaires. Participants were asked if they had ever been diagnosed with diabetes and if so at what age. Associations of diabetes and age at diabetes diagnosis with ANM were estimated using time-dependent Cox regression analyses, with stratification by center and adjustments for age, smoking, reproductive, and known diabetes risk factors including smoking and with age from birth to menopause or censoring as the underlying time scale. Overall, there was no statistically significant lower risk of becoming menopausal among women with diabetes than women with no diabetes; the hazard ratio (HR) was 0.94, with a 95% confidence interval (CI) of 0.89 to 1.01. However, compared with women with no diabetes, women with diabetes before the age of 20 years had an earlier menopause (10-20 years [HR, 1.43; 95% CI, 1.02-2.01] and <10 years [HR, 1.59; 95% CI, 1.03-2.43]), whereas women with diabetes at age 50 years or older had a later menopause (HR, 0.81; 95% CI, 0.70-0.95). No association with ANM was found for diabetes onset between the ages 20 and 50 years. Strengths of the study include its large sample size and the measurement of a broad set of potential confounders. However, there were several limitations. First, results may have been underestimated because of survival bias. Second, the sequence of menopause and diabetes in women with a late age at diabetes is uncertain, as both events occur in a short period, and both diabetes and menopause status were based on self-report, not verified by medical records. Third, no distinction was made between types 1 and 2 diabetes. Although there is no overall association between diabetes and age at menopause, the data suggest that early-onset diabetes may accelerate menopause. The delaying effect of late-onset diabetes on ANM is not in agreement with other studies suggesting the opposite association.
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7.
  • Flannick, Jason, et al. (author)
  • Data Descriptor : Sequence data and association statistics from 12,940 type 2 diabetes cases and controls
  • 2017
  • In: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 4
  • Journal article (peer-reviewed)abstract
    • To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (> 80% of low-frequency coding variants in similar to ~82 K Europeans via the exome chip, and similar to ~90% of low-frequency non-coding variants in similar to ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.
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8.
  • Fuchsberger, Christian, et al. (author)
  • The genetic architecture of type 2 diabetes
  • 2016
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 536:7614, s. 41-47
  • Journal article (peer-reviewed)abstract
    • The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.
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9.
  • Kato, Norihiro, et al. (author)
  • Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation
  • 2015
  • In: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 47:11, s. 1282-1293
  • Journal article (peer-reviewed)abstract
    • We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10−11 to 5.0 × 10−21). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10−6). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.
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10.
  • Mahajan, Anubha, et al. (author)
  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
  • 2018
  • In: Nature Genetics. - : Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 50:4, s. 559-571
  • Journal article (peer-reviewed)abstract
    • We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10−7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent ‘false leads’ with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.
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  • Result 1-10 of 14
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journal article (14)
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peer-reviewed (12)
other academic/artistic (2)
Author/Editor
Rolandsson, Olov (12)
Deloukas, Panos (9)
McCarthy, Mark I (9)
Linneberg, Allan (9)
Grarup, Niels (9)
Pedersen, Oluf (9)
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Hansen, Torben (9)
Mohlke, Karen L (9)
Scott, Robert A (9)
Jorgensen, Torben (9)
Franks, Paul W. (8)
Wareham, Nicholas J. (8)
Kuusisto, Johanna (8)
Laakso, Markku (8)
Bork-Jensen, Jette (8)
Langenberg, Claudia (8)
Boehnke, Michael (8)
Barroso, Ines (8)
Frayling, Timothy M (8)
Boeing, Heiner (7)
Salomaa, Veikko (7)
Saleheen, Danish (7)
Peters, Annette (7)
Hattersley, Andrew T (7)
Walker, Mark (7)
Zeggini, Eleftheria (7)
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Wilson, James G. (7)
Lind, Lars (6)
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Brandslund, Ivan (6)
V Varga, Tibor (6)
Chu, Audrey Y (6)
Tuomilehto, Jaakko (6)
Mahajan, Anubha (6)
Spector, Timothy D (6)
Metspalu, Andres (6)
Palmer, Colin N. A. (6)
Neville, Matt (6)
Karpe, Fredrik (6)
Loos, Ruth J F (6)
Morris, Andrew D (6)
Elliott, Paul (6)
Dupuis, Josée (6)
Meigs, James B. (6)
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Wood, Andrew R (6)
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