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
Ida Surakka1, Ida Surakka2, Momoko Horikoshi3, Reedik Mägi4, Antti-Pekka Sarin1, Antti-Pekka Sarin2, Anubha Mahajan3, Vasiliki Lagou3, Letizia Marullo5, Teresa Ferreira3, Benjamin Miraglio1, Sanna Timonen1, Johannes Kettunen2, Johannes Kettunen1, Matti Pirinen1, Juha Karjalainen6, Gudmar Thorleifsson7, Sara Hägg8, Sara Hägg9, Jouke-Jan Hottenga10, A Isaacs1, A Isaacs10, A Isaacs11, Claes Ladenvall12, Marian Beekman13, Tõnu Esko, Janina S. Ried, Christopher P. Nelson14, Christina Willenborg15, Stefan Gustafsson8, Stefan Gustafsson9, Harm-Jan Westra6, Matthew Blades16, Anton J. M. de Craen13, Eco J. C. de Geus10, Joris Deelen13, Harald Grallert, Anders Hamsten8, Aki S. Havulinna2, Christian Hengstenberg17, Jeanine J. Houwing-Duistermaat13, Elina Hyppönen, Lennart C. Karssen11, Terho Lehtimäki18, Valeriya Lyssenko19, Patrik K. E. Magnusson8, Evelin Mihailov4, Martina Müller-Nurasyid20, John Patrick Mpindi1, Nancy L. Pedersen8, Brenda W.J.H. Penninx10, Markus Perola, Tune H. Pers21, Tune H. Pers22, Annette Peters17, Johan Rung23, Johannes H. Smit10, Valgerdur Steinthorsdottir7, Martin D. Tobin24, Natalia Tšernikova4, Elisabeth M. van Leeuwen11, Jorma Viikari25, Sara M. Willems11, Gonneke Willemsen10, Heribert Schunkert17, Jeanette Erdmann15, Nilesh J. Samani14, Jaakko Kaprio1, Jaakko Kaprio2, Lars Lind26, Christian Gieger, Andres Metspalu4, P. Eline Slagboom13, Leif Groop1, Cornelia M. van Duijn27, Johan G. Eriksson, Antti Jula2, Veikko Salomaa2, Dorret I. Boomsma10, Christine Power28, Olli T. Raitakari29, Erik Ingelsson9, Erik Ingelsson30, Marjo-Riitta Järvelin, Unnur Thorsteinsdottir31, Lude Franke, Elina Ikonen32, Olli Kallioniemi1, Vilja Pietiäinen1, Cecilia M. Lindgren30, Cecilia M. Lindgren22, Kari Stefansson31, Aarno Palotie21, Mark I. McCarthy3, Andrew P. Morris4, Andrew P. Morris30, Andrew P. Morris33, Inga Prokopenko34, Samuli Ripatti35 
TL;DR: Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, association to lipid traits in 93 loci is identified, including 79 previously identified loci with new lead SNPs and 10 new loci, including 15 locu with a low-frequency lead SNP and 10 loco with a missense lead SNP.
Abstract: Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, we identify association to lipid traits in 93 loci, including 79 previously identified loci with new lead SNPs and 10 new loci, 15 loci with a low-frequency lead SNP and 10 loci with a missense lead SNP, and 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC and APOE) or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2) explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for low-density lipoprotein cholesterol and total cholesterol. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to resequencing.

279 citations

Journal ArticleDOI
Lisette Stolk1, John R. B. Perry2, John R. B. Perry3, Daniel I. Chasman4  +195 moreInstitutions (54)
TL;DR: A meta-analysis of 22 genome-wide association studies in 38,968 women of European descent identified 13 loci newly associated with age at natural menopause, including genes implicated in DNA repair, immune function and immune function.
Abstract: To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 × 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

279 citations

Journal ArticleDOI
TL;DR: Nonlinear PCA, performed by autoassociative neural network, has emerged as a good unsupervised technique to fit the information content of hyperspectral data into few components and results show that NLPCA permits one to obtain better classification accuracies than using linear PCA.
Abstract: Morphological profiles (MPs) have been proposed in recent literature as aiding tools to achieve better results for classification of remotely sensed data. MPs are in general built using features containing most of the information content of the data, such as the components derived from principal component analysis (PCA). Recently, nonlinear PCA (NLPCA), performed by autoassociative neural network, has emerged as a good unsupervised technique to fit the information content of hyperspectral data into few components. The aim of this letter is to investigate the classification accuracies obtained using extended MPs built from the features of NPCA. A comparison of the two approaches has been validated on two different data sets having different spatial and spectral resolutions/coverages, over the same ground truth, and also using two different classification algorithms. The results show that NLPCA permits one to obtain better classification accuracies than using linear PCA.

278 citations

Journal ArticleDOI
TL;DR: It is established that common variants in NRXN3 are associated with WC, BMI, and obesity, lending further evidence that common forms of obesity may be a central nervous system-mediated disorder.
Abstract: 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 FTO and MC4R and identified one novel locus associated with WC in the neurexin 3 gene [NRXN3 (rs10146997, p = 6.4610 27 )]. The association with NRXN3 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 = 5.3610 28 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 = 7.4610 26 , 0.024 z-score units (0.10 kg/m 2 ) per copy of the G allele] and the risk of obesity (odds ratio 1.13, 95% CI 1.07–1.19; p = 3.2610 25 per copy of the G allele). The NRXN3 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 NRXN3 are associated with WC, BMI, and obesity.

278 citations

Journal ArticleDOI
TL;DR: The proposed method deals with the joint use of the spatial and the spectral information provided by the remote-sensing images with very high spatial resolution and is competitive with other contextual methods.

277 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