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1. Full Text Genome-wide association study identifies 74 loci associated with educational attainment
by Okbay, Aysu and Beauchamp, Jonathan and Fontana, M.A and Lee, James J and Pers, Tune and Rietveld, C.A and Turley, Patrick and Chen, G.-B and Emilsson, Valur and Meddens, S.F.W and Oskarsson, S and Pickrell, J.K and Thom, K and Timshel, P and Vlaming, Ronald and Abdellaoui, Abdel and Ahluwalia, Tarunveer Singh and Bacelis, Jonas and Baumbach, Clemens and Bjornsdottir, G and Brandsma, Johan and Pina Concas, M and Derringer, J and Furlotte, N.A and Galesloot, Tessel and Girotto, S and Gupta, R and Hall, Leanne M and Harris, Sarah and Hofer, E and Horikoshi, M and Huffman, Jennifer E and Kaasik, K and Kalafati, Ioanna-Panagiota and Karlsson, Robert and Kong, Augustine and Lahti, Jari and Lee, Sven and Deleeuw, C and Lind, Penelope and Lindgren, K.-O and Liu, T and Mangino, Massimo and Marten, Jonathan and Mihailov, Evelin and Miller, Mike and Most, Peter and Oldmeadow, Christopher and Payton, Antony and Pervjakova, Natalia and Peyrot, Wouter and Qian, Y and Raitakari, Olli and Rueedi, R and Salvi, E and Schmidt, B and Schraut, K.E and Shi, J and Smith, Albert Vernon and Poot, Raymond and St Pourcain, Beate and Teumer, Alexander and Thorleifsson, Gudmar and Verweij, Niek and Vuckovic, gana and Wellmann, J and Westra, Harm-Jan and Yang, J and Zhao, W and Zhu, Z and Alizadeh, Behrooz and Amin, Najaf and Bakshi, A and Baumeister, Sebastian and Biino, G and Bønnelykke, Klaus and Boyle, Patricia and Campbell, Harry and Cappuccio, F.P and Davies, Gail and Neve, Jan-Emmanuel and Deloukas, Panagiotis and Demuth, Ilja and Ding, J and Eibich, P and Eisele, L and Eklund, Niina and Evans, David and Faul, Jessica D and Feitosa, Mary Furlan and Forstner, Aneas and Gandin, Ilaria and Gunnarsson, B and Halldorsson, Bjarni and Harris, Tamara and Holliday, Elizabeth and Heath, Anew C and Hocking, L.J and Homuth, Georg and Horan, Mike and ... and LifeLines Cohort Study and Humanistisk-samhällsvetenskapliga vetenskapsområdet and Uppsala universitet and Statsvetenskapliga institutionen and Samhällsvetenskapliga fakulteten
Nature: international weekly journal of science, ISSN 0028-0836, 05/2016, Volume 533, Issue 7604, pp. 539 - 542
textabstractEducational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least... 
IQ | ACHIEVEMENT | TRAITS | MULTIDISCIPLINARY SCIENCES | HERITABILITY | Genome-Wide Association Study | Gene Expression Regulation - genetics | Humans | Molecular Sequence Annotation | Computational Biology | Fetus - metabolism | United Kingdom | Cognition | Educational Status | Bipolar Disorder - genetics | Gene-Environment Interaction | Brain - metabolism | Schizophrenia - genetics | Polymorphism, Single Nucleotide - genetics | Alzheimer Disease - genetics | Quantitative trait loci | Academic achievement | Genome-wide association studies | Genetic aspects | Observations | Studies | Genomes | Gene expression | Genes | Educational attainment | Meta-analysis | Quantitative Finance | Samhällsvetenskap | Biological Sciences | Social Sciences | Naturvetenskap | Natural Sciences | Biologiska vetenskaper
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2. Full Text Metabolic network topology reveals transcriptional regulatory signatures of type 2 diabetes
by Zelezniak, Aleksej and Pers, Tune H and Soares, Simão and Patti, Mary Elizabeth and Patil, Kiran Raosaheb
PLoS Computational Biology, ISSN 1553-734X, 04/2010, Volume 6, Issue 4, p. e1000729
Type 2 diabetes mellitus (T2DM) is a disorder characterized by both insulin resistance and impaired insulin secretion. Recent transcriptomics studies related... 
LIFE-SPAN EXTENSION | SKELETAL-MUSCLE | CHOLINE KINASE | LIPID-METABOLISM | NUCLEAR CONTROL | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | GENE-EXPRESSION | MITOCHONDRIAL DYSFUNCTION | SACCHAROMYCES-CEREVISIAE | INDUCED INSULIN-RESISTANCE | CALORIE RESTRICTION | Oligonucleotide Array Sequence Analysis | Diabetes Mellitus, Type 2 - genetics | Humans | Gene Expression Regulation | Databases, Genetic | Metabolome | Male | Gene Expression Profiling | Diabetes Mellitus, Type 2 - metabolism | Gene Regulatory Networks | Algorithms | Metabolic Networks and Pathways | Models, Biological | Regulatory Elements, Transcriptional | Transcription, Genetic | Muscle, Skeletal | Cluster Analysis | Type 2 diabetes | Physiological aspects | Development and progression | Insulin resistance | Genetic aspects | DNA binding proteins | Gene expression | Enzymes | Metabolites | Metabolism | Metabolic disorders
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3. Full Text Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes
by Bonàs-Guarch, Sílvia and Guindo-Martínez, Marta and Miguel-Escalada, Irene and Grarup, Niels and Sebastian, David and Rodriguez-Fos, Elias and Sánchez, Friman and Planas-Fèlix, Mercè and Cortes-Sánchez, Paula and González, Santi and Timshel, Pascal and Pers, Tune H and Morgan, Claire C and Moran, Ignasi and Atla, Goutham and González, Juan R and Puiggros, Montserrat and Martí, Jonathan and Andersson, Ehm A and Diáz, Carlos and Badia, Rosa M and Udler, Miriam and Leong, Aaron and Kaur, Varindepal and Flannick, Jason and Jørgensen, Torben and Linneberg, Allan and Jørgensen, Marit E and Witte, Daniel R and Christensen, Cramer and Brandslund, Ivan and Appel, Emil V and Scott, Robert A and Luan, Jianan and Langenberg, Claudia and Wareham, Nicholas J and Pedersen, Oluf and Zorzano, Antonio and Florez, Jose C and Hansen, Torben and Ferrer, Jorge and Mercader, Josep Maria and Torrents, David
Nature Communications, ISSN 2041-1723, 12/2018, Volume 9, Issue 1, pp. 321 - 14
The reanalysis of existing GWAS data represents a powerful and cost-effective opportunity to gain insights into the genetics of complex diseases. By... 
CELLS | PANCREATIC-ISLETS | METAANALYSIS | LOW-FREQUENCY | INSULIN-RESISTANCE | GLUCOSE | MULTIDISCIPLINARY SCIENCES | SUSCEPTIBILITY LOCI | RISK | DIET-INDUCED OBESITY | GENOME-WIDE ASSOCIATION | Genetic Predisposition to Disease - genetics | Genome-Wide Association Study | Chromosomes, Human, X - genetics | Gene Regulatory Networks - genetics | Humans | Risk Factors | Alleles | Insulin Resistance - genetics | Genotype | Male | Models, Genetic | Polymorphism, Single Nucleotide | Diabetes mellitus | Genetic resources | Muscles | ABO system | Genomes | Gene expression | Males | Insulin | Angiotensin | Genetics | Diabetes | Angiotensin II | Diabetes mellitus (non-insulin dependent) | Genètica humana | Human genetics | Diabetis
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4. Full Text Whole-Exome Sequencing of 2,000 Danish Individuals and the Role of Rare Coding Variants in Type 2 Diabetes
by Lohmueller, Kirk E and Sparsø, Thomas and Li, Qibin and Li, Yingrui and Andersson, Ehm and Korneliussen, Thorfinn and Albrechtsen, Anders and Banasik, Karina and Grarup, Niels and Hallgrimsdottir, Ingileif and Kiil, Kristoffer and Kilpeläinen, Tuomas O and Krarup, Nikolaj T and Pers, Tune H and Sanchez, Gaston and Hu, Youna and DeGiorgio, Michael and Jørgensen, Torben and Sandbæk, Annelli and Lauritzen, Torsten and Brunak, Søren and Kristiansen, Karsten and Hansen, Torben and Wang, Jun and Nielsen, Rasmus and Pedersen, Oluf
The American Journal of Human Genetics, ISSN 0002-9297, 12/2013, Volume 93, Issue 6, pp. 1072 - 1086
It has been hypothesized that, in aggregate, rare variants in coding regions of genes explain a substantial fraction of the heritability of common diseases. We... 
POPULATION | IDENTIFY | EVOLUTION | HIGH-RISK | DISEASE | GENETICS & HEREDITY | MISSING HERITABILITY | GENETIC ARCHITECTURE | MELLITUS | MUTATIONS | ASSOCIATION | Genetic Association Studies | Diabetes Mellitus, Type 2 - genetics | Humans | Open Reading Frames | Computational Biology | European Continental Ancestry Group | Genotype | Models, Statistical | Exome | Genetic Variation | Denmark | High-Throughput Nucleotide Sequencing | Polymorphism, Single Nucleotide | Type 2 diabetes | Genetic code | Genetic variation | Physiological aspects | Genetic research | Genetic aspects | Research | Nucleotide sequencing | Population genetics | DNA sequencing
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5. Full Text Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine
by Gormley, A.M and Stefansson, Hreinn and Winsvold, Bendik and Palta, Priit and Esko, Tõnu and Pers, Tune and Farh, Kai-How and Cuenca-Leon, E and Muona, M and Furlotte, N.A and Kurth, Karl and Ingason, Anes and Mcmahon, George and Ligthart, Lannie and Terwindt, Gisela and Todt, Unda and Müller-Myhsok, Bertram and Ran, C and Gordon, S.G and Stam, Anine and Steinberg, Stacy and Göbel, Hartmut and Koiranen, Markku and Quaye, Lydia and Adams, H.H.H and Lehtimäki, Terho and Sarin, A.-P and Wedenoja, J and Hinds, David A and Buring, J.E and Schürks, Markus and Ridker, Paul and Hrafnsdottir, M.G and Ring, Susan and Hottenga, Jouke Jan and Penninx, Brenda and Färkkilä, Markus and Artto, Ville and Hämäläinen, Eija and Lucae, Susanne and Malik, Rainer and Heath, Anew C and Madden, Pamela and Martin, Nicholas and Montgomery, Grant and Kurki, M.I and Kals, Mart and Mägi, Reedik and Pärn, K and Hamalainen, Eija and Huang, H and Byrnes, A.E and Franke, Lude and Huang, Jian and Stergiakouli, Evangelia and Lee, Phil and Sandor, C and Webber, C and Cader, Z and Müller-Myhsok, B and Schreiber, Stefan and Meitinger, Thomas and Hagen, Knut and Salomaa, Veikko and Heikkilä, Kauko and Loehrer, Elizabeth and Uitterlinden, Ané and Hofman, A and Duijn, Cornelia and Cherkas, Lynn and Pedersen, L.M and Stubhaug, A and Nielsen, C.S and Männikkö, M and Mihailov, Evelin and Milani, Lili and Esserlind, A.-L and Christensen, A.F and Hansen, T.F and Werge, Thomas and Kaprio, Jaakko and Aromaa, Arpo and Raitakari, Olli and Ikram, Arfan and Ikram, Kamran and Jarvelin, Marjo-Riitta and Metspalu, Anes and Kubisch, Christian and Strachan, David and Ferrari, Michel and Belin, A.C and Wessman, Maija and Maagdenberg, Arn and Zwart, John-Anker and Boomsma, Dorret and Smith, G.D and Stefansson, K and Eriksson, Nicholas and Daly, Mark and Neale, Benjamin and ... and Int Headache Genetics Consortium and International Headache Genetics Consortium
Nature Genetics, ISSN 1061-4036, 08/2016, Volume 48, Issue 8, pp. 856 - 866
textabstractMigraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly... 
SYSTEMATIC ANALYSIS | MYOCARDIAL-INFARCTION | GENOTYPE IMPUTATION | GENETICS & HEREDITY | GENE-EXPRESSION | SMOOTH-MUSCLE-CELLS | FAMILIAL HEMIPLEGIC MIGRAINE | RECEPTOR-RELATED PROTEIN-1 | SINGLE-NUCLEOTIDE POLYMORPHISMS | SPREADING DEPRESSION | GENOME-WIDE ASSOCIATION | Genetic Predisposition to Disease | Genome-Wide Association Study | Migraine Disorders - genetics | Genetic Markers - genetics | Genomics | Humans | Genetic Loci - genetics | Polymorphism, Single Nucleotide - genetics | Vascular Diseases - genetics | Muscle, Smooth - metabolism | Case-Control Studies | Quantitative trait loci | Genome-wide association studies | Migraine | Genetic aspects | Gene expression | Identification and classification | Health aspects | Risk factors | Methods | Studies | Confidence intervals | Consortia | Headaches | Gene loci | Genomes | Meta-analysis
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6. Full Text Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
by Perry, John and Day, Felix and Elks, Cathy and Sulem, Patrick and Thompson, Deborah and Ferreira, Teresa and He, Chunyan and Chasman, Daniel and Esko, Tõnu and Thorleifsson, Gudmar and Albrecht, Eva and Ang, Wei and Corre, Tanguy and Cousminer, Diana and Feenstra, Bjarke and Franceschini, Nora and Ganna, Anea and Johnson, Anew and Kjellqvist, Sanela and Lunetta, Kathryn and Mcmahon, George and Nolte, Ilja and Paternoster, Lavinia and Porcu, Eleonora and Smith, G.D and Stolk, Lisette and Teumer, Alexander and Tsernikova, Natalia and Tikkanen, Emmi and Ulivi, Shelia and Wagner, Erin K and Amin, Najaf and Bierut, Laura and Byrne, Enda and Hottenga, Jouke Jan and Koller, Daniel and Mangino, Massimo and Pers, Tune and Yerges-Armstrong, Laura and Zhao, Jing Hua and Anulis, Irene and Anton-Culver, Hoda and Atsma, Femke and Bandinelli, Stefania and Beckmann, Matthias W and Benítez, Javier and Blomqvist, Carl and Bojesen, Stig and Bolla, Manjeet and Bonnani, Bernardo and Brauch, Hiltrud and Brenner, Hermann and Buring, Julie and Chang-Claude, Jenny and Chanock, Stephen and Chen, Jinhui and Chenevix-Trench, Georgia and Collee, Margriet and Couch, Fergus and Couper, David and Coviello, Anea and Cox, Angela and Czene, Kamila and Adamo, Pio and Vivo, Immaculata and Demerath, Ellen and Dennis, Joe and Devilee, Peter and Dieffenbach, Aida Karina and Dunning, Alison and Eiriksdottir, Gudny and Hagen, Knut and Fasching, Peter and Ferrucci, Luigi and Flesch-Janys, Dieter and Flyger, Henrik and Foroud, Tatiana and Franke, Lude and Garcia, Melissa and García-Closas, Montserrat and Geller, Frank and De Geus, Eco E. J and Giles, Graham and Gudbjartsson, Daniel and Gudnason, Vilmundur and Guénel, Pascal and Guo, Suiqun and Hall, Per and Hamann, Ute and Haring, Robin and Hartman, Catharina and Heath, Anew and Hofman, Albert and Hooning, Maartje and Hopper, John and Hu, Frank and Hunter, David and Karasik, David and Kiel, Douglas P and Knight, Julia and ... and kConFabt LifeLines Cohort Study and InterAct Consortium and Australian Ovarian Canc Study and Early Growth Genetics EGG Consorti and GENICA Network and Australian Ovarian Cancer Study and kConFab and LifeLines Cohort Study and Early Growth Genetics (EGG) Consortium and The GENICA Network and The InterAct Consortium and The LifeLines Cohort Study and Medicinska fakulteten and Science for Life Laboratory, SciLifeLab and Medicinska och farmaceutiska vetenskapsområdet and Uppsala universitet and Institutionen för medicinska vetenskaper and Molekylär epidemiologi
Nature: international weekly journal of science, ISSN 0028-0836, 10/2014, Volume 514, Issue 7520, pp. 92 - 97
textabstractAge at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with... 
CELLS | METAANALYSIS | VARIANTS | CENTRAL PRECOCIOUS PUBERTY | BREAST-CANCER RISK | MULTIDISCIPLINARY SCIENCES | DISEASE | GENE-EXPRESSION | HUMAN PREFRONTAL CORTEX | WIDE ASSOCIATION | REVEALS | Age Factors | Diabetes Mellitus, Type 2 - genetics | Humans | Genetic Loci - genetics | Parents | Male | Cardiovascular Diseases - genetics | Obesity - genetics | Europe - ethnology | Female | Ribonucleoproteins - genetics | Hypothalamo-Hypophyseal System - physiology | Child | Body Mass Index | Genome-Wide Association Study | Membrane Proteins - genetics | Menarche - genetics | Intercellular Signaling Peptides and Proteins - genetics | Potassium Channels, Tandem Pore Domain - genetics | Ovary - physiology | Receptors, Retinoic Acid - metabolism | Genomic Imprinting - genetics | Proteins - genetics | Breast Neoplasms - genetics | Adolescent | Alleles | Polymorphism, Single Nucleotide - genetics | Quantitative Trait Loci - genetics | Receptors, GABA-B - metabolism | Allelomorphism | Menarche | Physiological aspects | Genome-wide association studies | Genetic aspects | Vitamin A | Puberty | Menstruation | Acids | Genomes | Mutation | Chromosomes | Girls | Age | Hälsovetenskaper | Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi | Medical and Health Sciences | Medicin och hälsovetenskap | Public Health, Global Health, Social Medicine and Epidemiology | Health Sciences
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7. Full Text The impact of low-frequency and rare variants on lipid levels
by Surakka, Ida and Horikoshi, Momoko and Mägi, Reedik and Sarin, A.-P and Mahajan, Anubha and Lagou, Vasiliki and Marullo, Letizia and Ferreira, Teresa and Miraglio, Benjamin and Timonen, Sanna and Kettunen, Johannes and Pirinen, Matti and Karjalainen, Juha and Thorleifsson, Gudmar and Hägg, Sara and Hottenga, Jouke Jan and Isaacs, Aaron and Ladenvall, Claes and Beekman, Marian and Esko, Tõnu and Ried, Janina and Nelson, Christopher P and Willenborg, Christina and Gustafsson, Stefan and Westra, Harm-Jan and Blades, Matthew and De Craen, Anton J. M and Geus, Eco and Deelen, Joris and Grallert, Harald and Hamsten, Anders and Havulinna, Aki and Hengstenberg, Christian and Houwing-Duistermaat, Jeanine and Hypponen, Elina and Karssen, Lennart and Lehtimäki, Terho and Lyssenko, Valeriya and Magnusson, Patrik and Mihailov, Evelin and Müller-Nurasyid, Martina and Mpindi, John-Patrick and Pedersen, Nancy L and Penninx, Brenda and Perola, Markus and Pers, Tune and Peters, Annette and Rung, Johan and Smit, Johannes H and Steinthorsdottir, Valgerdur and Tobin, Martin and Tsernikova, Natalia and Leeuwen, Elisa and Viikari, Jorma and Willems, Sara and Willemsen, Gonneke and Schunkert, Heribert and Erdmann, Jeanette and Samani, Nilesh and Kaprio, Jaakko and Lind, Lars and Gieger, Christian and Metspalu, Anes and Eline Slagboom, P and Groop, Leif and Duijn, Cock and Eriksson, Johan G and Jula, Antti and Salomaa, Veikko and Boomsma, Dorret and Power, Christopher and Raitakari, Olli T and Ingelsson, Erik and Jarvelin, Marjo-Riitta and Thorsteinsdottir, Unnur and Franke, Lude and Ikonen, Elina and Kallioniemi, Olli and Pietiäinen, Vilja and Lindgren, Cecilia M and Zwart, John-Anker and Palotie, Aarno and McCarthy, Mark and Morris, Anew and Prokopenko, Inga and Ripatti, Samuli and ENGAGE Consortium and Medicinska fakulteten and Science for Life Laboratory, SciLifeLab and Medicinska och farmaceutiska vetenskapsområdet and Kardiovaskulär epidemiologi and Uppsala universitet and Institutionen för medicinska vetenskaper and Molekylär epidemiologi
Nature Genetics, ISSN 1061-4036, 01/2015, Volume 47, Issue 6, pp. 589 - 597
textabstractUsing a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, we identify... 
HETEROGENEITY | IN-VITRO | GLUCOSE | SEQUENCE | DISEASE | GENES | LIVER | GENETICS & HEREDITY | EXPRESSION | SIALOMUCIN | GENOME-WIDE ASSOCIATION | Dyslipidemias - genetics | Genome-Wide Association Study | Gene Frequency | Humans | Lipid Metabolism - genetics | Polymorphism, Single Nucleotide | Genetic Loci | Mutation, Missense | Sequence Analysis, DNA | Linkage Disequilibrium | Genetic aspects | Single nucleotide polymorphisms | Lipid metabolism | Identification and classification | Health aspects | Studies | Design | Lipids | Agreements | Cholesterol | Basic Medicine | Medical Genetics | Medicinsk genetik | Medical and Health Sciences | Medicin och hälsovetenskap | Medicinska och farmaceutiska grundvetenskaper
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