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Dive into the research topics where Vilmundur Gudnason is active.

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Featured researches published by Vilmundur Gudnason.


Nature Genetics | 2006

Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes

Struan F. A. Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafil Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P. Magnusson; G. Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L. Wilensky; Muredach P. Reilly; Daniel J. Rader; Yu Z. Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R. Gulcher; Augustine Kong; Kari Stefansson

We have previously reported suggestive linkage of type 2 diabetes mellitus to chromosome 10q. We genotyped 228 microsatellite markers in Icelandic individuals with type 2 diabetes and controls throughout a 10.5-Mb interval on 10q. A microsatellite, DG10S478, within intron 3 of the transcription factor 7–like 2 gene (TCF7L2; formerly TCF4) was associated with type 2 diabetes (P = 2.1 × 10−9). This was replicated in a Danish cohort (P = 4.8 × 10−3) and in a US cohort (P = 3.3 × 10−9). Compared with non-carriers, heterozygous and homozygous carriers of the at-risk alleles (38% and 7% of the population, respectively) have relative risks of 1.45 and 2.41. This corresponds to a population attributable risk of 21%. The TCF7L2 gene product is a high mobility group box–containing transcription factor previously implicated in blood glucose homeostasis. It is thought to act through regulation of proglucagon gene expression in enteroendocrine cells via the Wnt signaling pathway.


The New England Journal of Medicine | 2011

Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death

Sreenivasa Rao Kondapally Seshasai; Stephen Kaptoge; Alexander Thompson; Emanuele Di Angelantonio; Pei Gao; Nadeem Sarwar; Peter H. Whincup; Kenneth J. Mukamal; Richard F. Gillum; Ingar Holme; Inger Njølstad; Astrid E. Fletcher; Peter Nilsson; Sarah Lewington; Rory Collins; Vilmundur Gudnason; Simon G. Thompson; Naveed Sattar; Elizabeth Selvin; Frank B. Hu; John Danesh

BACKGROUND The extent to which diabetes mellitus or hyperglycemia is related to risk of death from cancer or other nonvascular conditions is uncertain. METHODS We calculated hazard ratios for cause-specific death, according to baseline diabetes status or fasting glucose level, from individual-participant data on 123,205 deaths among 820,900 people in 97 prospective studies. RESULTS After adjustment for age, sex, smoking status, and body-mass index, hazard ratios among persons with diabetes as compared with persons without diabetes were as follows: 1.80 (95% confidence interval [CI], 1.71 to 1.90) for death from any cause, 1.25 (95% CI, 1.19 to 1.31) for death from cancer, 2.32 (95% CI, 2.11 to 2.56) for death from vascular causes, and 1.73 (95% CI, 1.62 to 1.85) for death from other causes. Diabetes (vs. no diabetes) was moderately associated with death from cancers of the liver, pancreas, ovary, colorectum, lung, bladder, and breast. Aside from cancer and vascular disease, diabetes (vs. no diabetes) was also associated with death from renal disease, liver disease, pneumonia and other infectious diseases, mental disorders, nonhepatic digestive diseases, external causes, intentional self-harm, nervous-system disorders, and chronic obstructive pulmonary disease. Hazard ratios were appreciably reduced after further adjustment for glycemia measures, but not after adjustment for systolic blood pressure, lipid levels, inflammation or renal markers. Fasting glucose levels exceeding 100 mg per deciliter (5.6 mmol per liter), but not levels of 70 to 100 mg per deciliter (3.9 to 5.6 mmol per liter), were associated with death. A 50-year-old with diabetes died, on average, 6 years earlier than a counterpart without diabetes, with about 40% of the difference in survival attributable to excess nonvascular deaths. CONCLUSIONS In addition to vascular disease, diabetes is associated with substantial premature death from several cancers, infectious diseases, external causes, intentional self-harm, and degenerative disorders, independent of several major risk factors. (Funded by the British Heart Foundation and others.).


Nature Genetics | 2009

Genome-wide association study of blood pressure and hypertension

Daniel Levy; Georg B. Ehret; Kenneth Rice; Germaine C. Verwoert; Lenore J. Launer; Abbas Dehghan; Nicole L. Glazer; Alanna C. Morrison; Andrew D. Johnson; Thor Aspelund; Yurii S. Aulchenko; Thomas Lumley; Anna Köttgen; Fernando Rivadeneira; Gudny Eiriksdottir; Xiuqing Guo; Dan E. Arking; Gary F. Mitchell; Francesco Mattace-Raso; Albert V. Smith; Kent D. Taylor; Robert B. Scharpf; Shih Jen Hwang; Eric J.G. Sijbrands; Joshua C. Bis; Tamara B. Harris; Santhi K. Ganesh; Christopher J. O'Donnell; Albert Hofman; Jerome I. Rotter

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10−7. The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10−8) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.


Circulation | 2007

Triglycerides and the Risk of Coronary Heart Disease 10 158 Incident Cases Among 262 525 Participants in 29 Western Prospective Studies

Nadeem Sarwar; John Danesh; Gudny Eiriksdottir; Gunnar Sigurdsson; Nicholas J. Wareham; Sheila Bingham; S. Matthijs Boekholdt; Kay-Tee Khaw; Vilmundur Gudnason

Background— Many epidemiological studies have reported on associations between serum triglyceride concentrations and the risk of coronary heart disease, but this association has not been reliably quantified. In the present study, we report 2 separate nested case-control comparisons in 2 different prospective, population-based cohorts, plus an updated meta-analysis of 27 additional prospective studies in general Western populations. Methods and Results— Measurements were made in a total of 3582 incident cases of fatal and nonfatal coronary heart disease and 6175 controls selected from among the 44 237 men and women screened in the Reykjavik and the European Prospective Investigation of Cancer (EPIC)-Norfolk studies. Repeat measurements were obtained an average of 4 years apart in 1933 participants in the EPIC-Norfolk Study and an average of 12 years apart in 379 participants in the Reykjavik study. The long-term stability of log-triglyceride values (within-person correlation coefficients of 0.64 [95% CI, 0.60 to 0.68] over 4 years and 0.63 [95% CI, 0.57 to 0.70] over 12 years) was similar to those of blood pressure and total serum cholesterol. After adjustment for baseline values of several established risk factors, the strength of the association was substantially attenuated, and the adjusted odds ratio for coronary heart disease was 1.76 (95% CI, 1.39 to 2.21) in the Reykjavik study and 1.57 (95% CI, 1.10 to 2.24) in the EPIC-Norfolk study in a comparison of individuals in the top third with those in the bottom third of usual log-triglyceride values. Similar overall findings (adjusted odds ratio, 1.72; 95% CI, 1.56 to 1.90) were observed in an updated meta-analysis involving a total of 10 158 incident coronary heart disease cases from 262 525 participants in 29 studies. Conclusions— Available prospective studies in Western populations consistently indicate moderate and highly significant associations between triglyceride values and coronary heart disease risk. Because these associations depend considerably on levels of established risk factors, however, further studies are needed to help assess the nature of any independent associations.


Nature Genetics | 2007

A variant in CDKAL1 influences insulin response and risk of type 2 diabetes.

Valgerdur Steinthorsdottir; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Thorbjorg Jonsdottir; G. Bragi Walters; Unnur Styrkarsdottir; Solveig Gretarsdottir; Valur Emilsson; Shyamali Ghosh; Adam Baker; Steinunn Snorradottir; Hjordis Bjarnason; Maggie C.Y. Ng; Torben Hansen; Yu Z. Bagger; Robert L. Wilensky; Muredach P. Reilly; Adebowale Adeyemo; Yuanxiu Chen; Jie Zhou; Vilmundur Gudnason; Guanjie Chen; Hanxia Huang; Kerrie Lashley; Ayo Doumatey; Wing Yee So; Ronald Cw Ma; Gitte Andersen; Knut Borch-Johnsen

We conducted a genome-wide association study for type 2 diabetes (T2D) in Icelandic cases and controls, and we found that a previously described variant in the transcription factor 7-like 2 gene (TCF7L2) gene conferred the most significant risk. In addition to confirming two recently identified risk variants, we identified a variant in the CDKAL1 gene that was associated with T2D in individuals of European ancestry (allele-specific odds ratio (OR) = 1.20 (95% confidence interval, 1.13–1.27), P = 7.7 × 10−9) and individuals from Hong Kong of Han Chinese ancestry (OR = 1.25 (1.11–1.40), P = 0.00018). The genotype OR of this variant suggested that the effect was substantially stronger in homozygous carriers than in heterozygous carriers. The ORs for homozygotes were 1.50 (1.31–1.72) and 1.55 (1.23–1.95) in the European and Hong Kong groups, respectively. The insulin response for homozygotes was approximately 20% lower than for heterozygotes or noncarriers, suggesting that this variant confers risk of T2D through reduced insulin secretion.


Nature Genetics | 2004

The gene encoding 5-lipoxygenase activating protein confers risk of myocardial infarction and stroke.

Anna Helgadottir; Andrei Manolescu; Gudmar Thorleifsson; Solveig Gretarsdottir; Helga Jonsdottir; Unnur Thorsteinsdottir; Nilesh J. Samani; Gudmundur Gudmundsson; Struan F. A. Grant; Gudmundur Thorgeirsson; Sigurlaug Sveinbjörnsdóttir; Einar M Valdimarsson; Stefan E. Matthiasson; Halldor Johannsson; Olof Gudmundsdottir; Mark E. Gurney; Jesus Sainz; Margret Thorhallsdottir; Margret B. Andresdottir; Michael L. Frigge; Eric J. Topol; Augustine Kong; Vilmundur Gudnason; Hakon Hakonarson; Jeffrey R. Gulcher; Kari Stefansson

We mapped a gene predisposing to myocardial infarction to a locus on chromosome 13q12–13. A four-marker single-nucleotide polymorphism (SNP) haplotype in this locus spanning the gene ALOX5AP encoding 5-lipoxygenase activating protein (FLAP) is associated with a two times greater risk of myocardial infarction in Iceland. This haplotype also confers almost two times greater risk of stroke. Another ALOX5AP haplotype is associated with myocardial infarction in individuals from the UK. Stimulated neutrophils from individuals with myocardial infarction produce more leukotriene B4, a key product in the 5-lipoxygenase pathway, than do neutrophils from controls, and this difference is largely attributed to cells from males who carry the at-risk haplotype. We conclude that variants of ALOX5AP are involved in the pathogenesis of both myocardial infarction and stroke by increasing leukotriene production and inflammation in the arterial wall.


JAMA | 2010

Genome-wide Analysis of Genetic Loci Associated With Alzheimer Disease

Sudha Seshadri; Annette L. Fitzpatrick; M. Arfan Ikram; Anita L. DeStefano; Vilmundur Gudnason; Mercè Boada; Joshua C. Bis; Albert V. Smith; Minerva M. Carassquillo; Jean Charles Lambert; Denise Harold; Elisabeth M.C. Schrijvers; Reposo Ramírez-Lorca; Stéphanie Debette; W. T. Longstreth; A. Cecile J. W. Janssens; V. Shane Pankratz; Jean-François Dartigues; Paul Hollingworth; Thor Aspelund; Isabel Hernández; Alexa Beiser; Lewis H. Kuller; Peter J. Koudstaal; Dennis W. Dickson; Christophe Tzourio; Richard Abraham; Carmen Antúnez; Yangchun Du; Jerome I. Rotter

CONTEXT Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD). OBJECTIVES To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35,000 persons (8371 AD cases). DESIGN, SETTING, AND PARTICIPANTS In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14,642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7x10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009. MAIN OUTCOME MEASURE Presence of Alzheimer disease. RESULTS Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR],1.13; 95% confidence interval [CI],1.06-1.21 per copy of the minor allele; P = 1.59x10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95% CI, 1.07-1.29; P = 6.45x10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P < .05). However, although CLU and PICALM were confirmed to be associated with AD in this independent sample, they did not improve the ability of a model that included age, sex, and APOE to predict incident AD (improvement in area under the receiver operating characteristic curve from 0.847 to 0.849 in the Rotterdam Study and 0.702 to 0.705 in the Cardiovascular Health Study). CONCLUSIONS Two genetic loci for AD were found for the first time to reach genome-wide statistical significance. These findings were replicated in an independent population. Two recently reported associations were also confirmed. These loci did not improve AD risk prediction. While not clinically useful, they may implicate biological pathways useful for future research.


JAMA | 2008

Birth weight and risk of type 2 diabetes: A systematic review

Peter H. Whincup; Samantha J. Kaye; Christopher G. Owen; Rachel R. Huxley; Derek G. Cook; Sonoko Anazawa; Elizabeth Barrett-Connor; Santosh K. Bhargava; Bryndis E. Birgisdottir; Sofia Carlsson; Susanne R. de Rooij; Roland F. Dyck; Johan G. Eriksson; Bonita Falkner; Caroline H.D. Fall; Tom Forsén; Valdemar Grill; Vilmundur Gudnason; Sonia Hulman; Elina Hyppönen; Mona Jeffreys; Debbie A. Lawlor; David A. Leon; Junichi Minami; Gita D. Mishra; Clive Osmond; Chris Power; Janet W. Rich-Edwards; Tessa J. Roseboom; Harshpal Singh Sachdev

CONTEXT Low birth weight is implicated as a risk factor for type 2 diabetes. However, the strength, consistency, independence, and shape of the association have not been systematically examined. OBJECTIVE To conduct a quantitative systematic review examining published evidence on the association of birth weight and type 2 diabetes in adults. DATA SOURCES AND STUDY SELECTION Relevant studies published by June 2008 were identified through literature searches using EMBASE (from 1980), MEDLINE (from 1950), and Web of Science (from 1980), with a combination of text words and Medical Subject Headings. Studies with either quantitative or qualitative estimates of the association between birth weight and type 2 diabetes were included. DATA EXTRACTION Estimates of association (odds ratio [OR] per kilogram of increase in birth weight) were obtained from authors or from published reports in models that allowed the effects of adjustment (for body mass index and socioeconomic status) and the effects of exclusion (for macrosomia and maternal diabetes) to be examined. Estimates were pooled using random-effects models, allowing for the possibility that true associations differed between populations. DATA SYNTHESIS Of 327 reports identified, 31 were found to be relevant. Data were obtained from 30 of these reports (31 populations; 6090 diabetes cases; 152 084 individuals). Inverse birth weight-type 2 diabetes associations were observed in 23 populations (9 of which were statistically significant) and positive associations were found in 8 (2 of which were statistically significant). Appreciable heterogeneity between populations (I(2) = 66%; 95% confidence interval [CI], 51%-77%) was largely explained by positive associations in 2 native North American populations with high prevalences of maternal diabetes and in 1 other population of young adults. In the remaining 28 populations, the pooled OR of type 2 diabetes, adjusted for age and sex, was 0.75 (95% CI, 0.70-0.81) per kilogram. The shape of the birth weight-type 2 diabetes association was strongly graded, particularly at birth weights of 3 kg or less. Adjustment for current body mass index slightly strengthened the association (OR, 0.76 [95% CI, 0.70-0.82] before adjustment and 0.70 [95% CI, 0.65-0.76] after adjustment). Adjustment for socioeconomic status did not materially affect the association (OR, 0.77 [95% CI, 0.70-0.84] before adjustment and 0.78 [95% CI, 0.72-0.84] after adjustment). There was no strong evidence of publication or small study bias. CONCLUSION In most populations studied, birth weight was inversely related to type 2 diabetes risk.


Cell | 2013

Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease.

Bin Zhang; Chris Gaiteri; Liviu-Gabriel Bodea; Zhi Wang; Joshua McElwee; Alexei Podtelezhnikov; Chunsheng Zhang; Tao Xie; Linh Tran; Radu Dobrin; Eugene M. Fluder; Bruce E. Clurman; Stacey Melquist; Manikandan Narayanan; Christine Suver; Hardik Shah; Milind Mahajan; Tammy Gillis; Jayalakshmi S. Mysore; Marcy E. MacDonald; John Lamb; David A. Bennett; Cliona Molony; David J. Stone; Vilmundur Gudnason; Amanda J. Myers; Eric E. Schadt; Harald Neumann; Jun Zhu; Valur Emilsson

The genetics of complex disease produce alterations in the molecular interactions of cellular pathways whose collective effect may become clear through the organized structure of molecular networks. To characterize molecular systems associated with late-onset Alzheimers disease (LOAD), we constructed gene-regulatory networks in 1,647 postmortem brain tissues from LOAD patients and nondemented subjects, and we demonstrate that LOAD reconfigures specific portions of the molecular interaction structure. Through an integrative network-based approach, we rank-ordered these network structures for relevance to LOAD pathology, highlighting an immune- and microglia-specific module that is dominated by genes involved in pathogen phagocytosis, contains TYROBP as a key regulator, and is upregulated in LOAD. Mouse microglia cells overexpressing intact or truncated TYROBP revealed expression changes that significantly overlapped the human brain TYROBP network. Thus the causal network structure is a useful predictor of response to gene perturbations and presents a framework to test models of disease mechanisms underlying LOAD.


JAMA | 2008

Intra-individual change over time in DNA methylation with familial clustering.

Hans T. Bjornsson; Martin I. Sigurdsson; M. Daniele Fallin; Rafael A. Irizarry; Thor Aspelund; Hengmi Cui; Wenqiang Yu; Michael Rongione; Tomas J. Ekström; Tamara B. Harris; Lenore J. Launer; Gudny Eiriksdottir; M. Leppert; Carmen Sapienza; Vilmundur Gudnason; Andrew P. Feinberg

CONTEXT Changes over time in epigenetic marks, which are modifications of DNA such as by DNA methylation, may help explain the late onset of common human diseases. However, changes in methylation or other epigenetic marks over time in a given individual have not yet been investigated. OBJECTIVES To determine whether there are longitudinal changes in global DNA methylation in individuals and to evaluate whether methylation maintenance demonstrates familial clustering. DESIGN, SETTING, AND PARTICIPANTS We measured global DNA methylation by luminometric methylation assay, a quantitative measurement of genome-wide DNA methylation, on DNA sampled at 2 visits on average 11 years apart in 111 individuals from an Icelandic cohort (1991 and 2002-2005) and on average 16 years apart in 126 individuals from a Utah sample (1982-1985 and 1997-2005). MAIN OUTCOME MEASURE Global methylation changes over time. RESULTS Twenty-nine percent of Icelandic individuals showed greater than 10% methylation change over time (P < .001). The family-based Utah sample also showed intra-individual changes over time, and further demonstrated familial clustering of methylation change (P = .003). The family showing the greatest global methylation loss also demonstrated the greatest loss of gene-specific methylation by a separate methylation assay. CONCLUSION These data indicate that methylation changes over time and suggest that methylation maintenance may be under genetic control.

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Lenore J. Launer

National Institutes of Health

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Tamara B. Harris

National Institutes of Health

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Sigurdur Sigurdsson

Technical University of Denmark

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Melissa Garcia

National Institutes of Health

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Mark A. van Buchem

Leiden University Medical Center

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Bruce M. Psaty

University of Washington

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