scispace - formally typeset
Search or ask a question
Institution

University of Iceland

EducationReykjavik, Suðurnes, Iceland
About: University of Iceland is a education organization based out in Reykjavik, Suðurnes, Iceland. It is known for research contribution in the topics: Population & Genome-wide association study. The organization has 5423 authors who have published 16199 publications receiving 694762 citations. The organization is also known as: Háskóli Íslands.


Papers
More filters
Journal ArticleDOI
TL;DR: A meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.
Abstract: The electrocardiographic PR interval (or PQ interval) reflects atrial and atrioventricular nodal conduction, disturbances of which increase risk of atrial fibrillation. We report a meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium: AGES, ARIC, CHS, FHS, KORA, Rotterdam Study, and SardiNIA (N = 28,517). We identified nine loci associated with PR interval at P < 5 x 10(-8). At the 3p22.2 locus, we observed two independent associations in voltage-gated sodium channel genes, SCN10A and SCN5A. Six of the loci were near cardiac developmental genes, including CAV1-CAV2, NKX2-5 (CSX1), SOX5, WNT11, MEIS1, and TBX5-TBX3, providing pathophysiologically interesting candidate genes. Five of the loci, SCN5A, SCN10A, NKX2-5, CAV1-CAV2, and SOX5, were also associated with atrial fibrillation (N = 5,741 cases, P < 0.0056). This suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.

412 citations

Journal ArticleDOI
Hou-Feng Zheng1, Vincenzo Forgetta1, Yi-Hsiang Hsu2, Yi-Hsiang Hsu3  +171 moreInstitutions (55)
01 Oct 2015-Nature
TL;DR: Evidence is provided that low‐frequency non‐coding variants have large effects on BMD and fracture, thereby providing rationale for whole‐genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.
Abstract: The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

410 citations

Journal ArticleDOI
Nathaniel Rothman, Montserrat Garcia-Closas, Nilanjan Chatterjee, Núria Malats, Xifeng Wu1, Jonine D. Figueroa, Francisco X. Real2, David Van Den Berg3, Giuseppe Matullo4, Dalsu Baris, Michael J. Thun5, Lambertus A. Kiemeney6, Paolo Vineis7, Immaculata De Vivo8, Demetrius Albanes, Mark P. Purdue, Thorunn Rafnar9, Michelle A.T. Hildebrandt1, Anne E. Kiltie10, Olivier Cussenot, Klaus Golka, Rajesh Kumar11, Jack A. Taylor12, Jose I. Mayordomo13, Kevin B. Jacobs14, Manolis Kogevinas, Amy Hutchinson14, Zhaoming Wang14, Yi-Ping Fu, Ludmila Prokunina-Olsson, Laurie Burdett14, Meredith Yeager14, William Wheeler, Adonina Tardón15, Consol Serra2, Alfredo Carrato, Reina García-Closas16, Josep Lloreta2, Alison Johnson, Molly Schwenn, Margaret R. Karagas17, Alan R. Schned17, Gerald L. Andriole18, Robert L. Grubb18, Amanda Black, Eric J. Jacobs5, W. Ryan Diver5, Susan M. Gapstur5, Stephanie J. Weinstein, Jarmo Virtamo12, Victoria K. Cortessis3, Manuela Gago-Dominguez3, Malcolm C. Pike19, Malcolm C. Pike3, Mariana C. Stern3, Jian-Min Yuan20, David J. Hunter21, Monica McGrath21, Colin P.N. Dinney1, Bogdan Czerniak1, Meng Chen1, Hushan Yang1, Sita H. Vermeulen6, Katja K.H. Aben6, J. Alfred Witjes6, Remco R. R. Makkinje6, Patrick Sulem9, Søren Besenbacher9, Kari Stefansson9, Kari Stefansson22, Elio Riboli7, Paul Brennan23, Salvatore Panico, Carmen Navarro, Naomi E. Allen24, H. Bas Bueno-de-Mesquita, Dimitrios Trichopoulos25, Dimitrios Trichopoulos21, Neil E. Caporaso, Maria Teresa Landi, Federico Canzian11, Börje Ljungberg26, Anne Tjønneland, Françoise Clavel-Chapelon27, D T Bishop28, Mark Teo28, Margaret A. Knowles28, Simonetta Guarrera, Silvia Polidoro, Fulvio Ricceri4, Carlotta Sacerdote4, Alessandra Allione, Geraldine Cancel-Tassin, Silvia Selinski, Jan G. Hengstler, Holger Dietrich29, Tony Fletcher, Peter Rudnai12, Eugen Gurzau30, Kvetoslava Koppova, Sophia C.E. Bolick12, Ashley C. Godfrey12, Zongli Xu12, José I Sanz-Velez, Maria D. Garcia-Prats, Manuel Sanchez13, Gabriel Valdivia13, Stefano Porru31, Simone Benhamou32, Simone Benhamou33, Robert N. Hoover, Joseph F. Fraumeni, Debra T. Silverman, Stephen J. Chanock 
TL;DR: Two new regions associated with bladder cancer on chromosomes 22q13.1, 19q12 and 2q37.1 are identified and previous candidate associations for the GSTM1 deletion and a tag SNP for NAT2 acetylation status are validated, and interactions with smoking in both regions are found.
Abstract: We conducted a multi-stage, genome-wide association study of bladder cancer with a primary scan of 591,637 SNPs in 3,532 affected individuals (cases) and 5,120 controls of European descent from five studies followed by a replication strategy, which included 8,382 cases and 48,275 controls from 16 studies In a combined analysis, we identified three new regions associated with bladder cancer on chromosomes 22q131, 19q12 and 2q371: rs1014971, (P = 8 × 10⁻¹²) maps to a non-genic region of chromosome 22q131, rs8102137 (P = 2 × 10⁻¹¹) on 19q12 maps to CCNE1 and rs11892031 (P = 1 × 10⁻⁷) maps to the UGT1A cluster on 2q371 We confirmed four previously identified genome-wide associations on chromosomes 3q28, 4p163, 8q2421 and 8q243, validated previous candidate associations for the GSTM1 deletion (P = 4 × 10⁻¹¹) and a tag SNP for NAT2 acetylation status (P = 4 × 10⁻¹¹), and found interactions with smoking in both regions Our findings on common variants associated with bladder cancer risk should provide new insights into the mechanisms of carcinogenesis

410 citations

Journal ArticleDOI
TL;DR: Solid lipid nanoparticles (SLN) as discussed by the authors are a type of nano-emulsions with the dispersed phase being composed of a solid carrier lipid and bioactive ingredient mixture.
Abstract: The inclusion of bioactive compounds, such as carotenoids, omega-3 fatty acids, or phytosterols, is an essential requisite for the production of functional foods designed to improve the long-term health and well-being of consumers worldwide. To incorporate these functional components successfully in a food system, structurally sophisticated encapsulation matrices have to be engineered, which provide maximal physical stability, protect ingredients against chemical degradation, and allow for precise control over the release of encapsulated components during mastication and digestion to maximize adsorption. A novel encapsulation system initially developed in the pharmaceutical industries to deliver lipophilic bioactive compounds is solid lipid nanoparticles (SLN). SLN consist of crystallized nanoemulsions with the dispersed phase being composed of a solid carrier lipid–bioactive ingredient mixture. Contrary to larger colloidal solid lipid particles, specific crystal structures can be “dialed-in” in SLN by using specific surfactant mixtures and ensuring that mean particle sizes are below 100–200 nm. Moreover, in SLN, microphase separations of the bioactive compound from the solidifying lipid matrix can be prevented resulting in an even dispersion of the encapsulated compound in the solid matrix thereby improving chemical and physical stability of the bioactive. In this review article, we will briefly introduce the structure, properties, stability, and manufacturing of solid lipid particles and discuss their emerging use in food science.

409 citations

Journal ArticleDOI
Cristian Pattaro, Alexander Teumer1, Mathias Gorski2, Audrey Y. Chu3  +732 moreInstitutions (157)
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
Abstract: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

409 citations


Authors

Showing all 5561 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Kari Stefansson206794174819
Ronald Klein1941305149140
Eric Boerwinkle1831321170971
Unnur Thorsteinsdottir167444121009
Vilmundur Gudnason159837123802
Hakon Hakonarson152968101604
Bernhard O. Palsson14783185051
Andrew T. Hattersley146768106949
Fernando Rivadeneira14662886582
Rattan Lal140138387691
Jonathan G. Seidman13756389782
Christine E. Seidman13451967895
Augustine Kong13423789818
Timothy M. Frayling133500100344
Network Information
Related Institutions (5)
Lund University
124.6K papers, 5M citations

94% related

University of Helsinki
113.1K papers, 4.6M citations

93% related

University of Copenhagen
149.7K papers, 5.9M citations

93% related

Utrecht University
139.3K papers, 6.2M citations

91% related

University of Colorado Boulder
115.1K papers, 5.3M citations

89% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202377
2022210
20211,222
20201,118
20191,140
20181,070