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1. Full Text Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology
by Ferreira, Manuel A and Vonk, Judith M and Baurecht, Hansjörg and Marenholz, Ingo and Tian, Chao and Hoffman, Joshua D and Helmer, Quinta and Tillander, Annika and Ullemar, Vilhelmina and Van Dongen, Jenny and Lu, Yi and Rüschendorf, Franz and Esparza-Gordillo, Jorge and Medway, Chris W and Mountjoy, Edward and Burrows, Kimberley and Hummel, Oliver and Grosche, Sarah and Brumpton, Ben M and Witte, John S and Hottenga, Jouke-Jan and Willemsen, Gonneke and Zheng, Jie and Rodríguez, Elke and Hotze, Melanie and Franke, Andre and Revez, Joana A and Beesley, Jonathan and Matheson, Melanie C and Dharmage, Shyamali C and Bain, Lisa M and Fritsche, Lars G and Gabrielsen, Maiken E and Balliu, Brunilda and Nielsen, Jonas B and Zhou, Wei and Hveem, Kristian and Langhammer, Arnulf and Holmen, Oddgeir L and Løset, Mari and Abecasis, Goncalo R and Willer, Cristen J and Arnold, Andreas and Homuth, Georg and Schmidt, Carsten O and Thompson, Philip J and Martin, Nicholas G and Duffy, David L and Novak, Natalija and Schulz, Holger and Karrasch, Stefan and Gieger, Christian and Strauch, Konstantin and Melles, Ronald B and Hinds, David A and Hübner, Norbert and Weidinger, Stephan and Magnusson, Patrik K. E and Jansen, Rick and Jorgenson, Eric and Lee, Young-Ae and Boomsma, Dorret I and Almqvist, Catarina and Karlsson, Robert and Koppelman, Gerard H and Paternoster, Lavinia and 23andMe Res Team and BIOS consortium and LifeLines Cohort Study and AAGC collaborators and 23andMe Research Team
Nature genetics, ISSN 1061-4036, 12/2017, Volume 49, Issue 12, pp. 1752 - 1757
RHINITIS | ATOPIC-DERMATITIS | VARIANTS | TRANSCRIPTOME | HUMAN-CELLS | COHORT | LD SCORE REGRESSION | IDENTIFICATION | GENOME-WIDE ASSOCIATION | TWIN | Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Eczema - genetics | Genetic Predisposition to Disease - genetics | Phenotype | Rhinitis, Allergic, Seasonal - genetics | Humans | Risk Factors | Hypersensitivity - genetics | Polymorphism, Single Nucleotide | Genome-Wide Association Study - methods | Asthma - genetics | Genome-wide association studies | Genetic variation | Eczema | Genetic aspects | Health aspects | Hay-fever | Risk factors | Methods | Asthma | Hay | Disease | Transcription | Rhinitis | Genes | Risk sharing | Genomes | Dermatitis | Immunity | Genetic effects | Atopic dermatitis | Allergic rhinitis | DNA methylation | Skin diseases | Age | CpG islands | Health risks | Risk analysis | Gene expression | Allergies | Biological activity | Hay fever | Studies | Heritability | Methylation | Index Medicus | Medicin och hälsovetenskap
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2. Full Text Systematic evaluation of coding variation identifies a candidate causal variant in TM6SF2 influencing total cholesterol and myocardial infarction risk
by Holmen, Oddgeir L and Zhang, He and Fan, Yanbo and Hovelson, Daniel H and Schmidt, Ellen M and Zhou, Wei and Guo, Yanhong and Zhang, Ji and Langhammer, Arnulf and Løchen, Maja-Lisa and Ganesh, Santhi K and Vatten, Lars and Skorpen, Frank and Dalen, Håvard and Zhang, Jifeng and Pennathur, Subramaniam and Chen, Jin and Platou, Carl and Mathiesen, Ellisiv B and Wilsgaard, Tom and Njølstad, Inger and Boehnke, Michael and Chen, Y Eugene and Abecasis, Gonçalo R and Hveem, Kristian and Willer, Cristen J
Nature genetics, ISSN 1061-4036, 2014, Volume 46, Issue 4, pp. 345 - 351
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Myocardial Infarction - genetics | Genome-Wide Association Study | Lipids - genetics | Myocardial Infarction - epidemiology | Membrane Proteins - genetics | Humans | Mice, Inbred C57BL | Risk Factors | Genotype | Mutation, Missense - genetics | Gene Knockdown Techniques | Genetic Variation | Cholesterol, LDL - genetics | Exome - genetics | Animals | Lipids - blood | Norway - epidemiology | Cholesterol, LDL - blood | Mice | Genes | Physiological aspects | Genetic aspects | Blood lipids | Identification and classification | Health aspects | Heart attack | Risk factors | Cholesterol | Studies | Heart | Cardiovascular disease | Lipids | Genomes | Experiments | Epidemiology | Index Medicus
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3. Full Text Meta-analysis of gene-level tests for rare variant association
by Liu, Dajiang J and Peloso, Gina M and Zhan, Xiaowei and Holmen, Oddgeir L and Zawistowski, Matthew and Feng, Shuang and Nikpay, Majid and Auer, Paul L and Goel, Anuj and Zhang, He and Peters, Ulrike and Farrall, Martin and Orho-Melander, Marju and Kooperberg, Charles and Mcpherson, Ruth and Watkins, Hugh and Willer, Cristen J and Hveem, Kristian and Melander, Olle and Kathiresan, Sekar and Abecasis, Gonçalo R
Nature genetics, ISSN 1061-4036, 2014, Volume 46, Issue 2, pp. 200 - 204
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Genetics, Population | Data Interpretation, Statistical | Lipids - genetics | Meta-Analysis as Topic | Humans | Genetic Association Studies - methods | Genotype | Genetic Variation | Exome - genetics | Lipids - blood | Models, Genetic | Monte Carlo Method | Research Design | Physiological aspects | Genetic aspects | Blood lipids | Research | Genetic variation | Studies | Heart | Medical research | Genes | Population | Software | Genomes | Grants | Cholesterol | Methods | Meta-analysis | Index Medicus | Kardiologi | Clinical Medicine | Cardiac and Cardiovascular Systems | Endokrinologi och diabetes | Medical and Health Sciences | Medicin och hälsovetenskap | Klinisk medicin | Endocrinology and Diabetes
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4. Full Text Relative Prognostic Value of Cardiac Troponin I and C-Reactive Protein in the General Population (from the Nord-Trøndelag Health [HUNT] Study)
by Sigurdardottir, Fjola D and Lyngbakken, Magnus N and Holmen, Oddgeir L and Dalen, Håvard and Hveem, Kristian and Røsjø, Helge and Omland, Torbjørn
The American journal of cardiology, ISSN 0002-9149, 04/2018, Volume 121, Issue 8, pp. 949 - 955
Cardiac & Cardiovascular Systems | Life Sciences & Biomedicine | Cardiovascular System & Cardiology | Science & Technology | Myocardial infarction | Heart | C-reactive protein | Risk | Cardiovascular disease | Family medical history | Gender | Proteins | Confidence intervals | Variables | Body mass index | Prediction models | Calcium-binding protein | Mathematical models | Heart diseases | Hypertension | Health risks | Triglycerides | Reclassification | Cholesterol | Sensitivity | Troponin | Troponin I | Models | Infarction | Diabetes | Cardiovascular diseases | Health risk assessment | Index Medicus | Abridged Index Medicus
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5. Full Text Gender, High-Sensitivity Troponin I, and the Risk of Cardiovascular Events (from the Nord-Trøndelag Health Study)
by Lyngbakken, Magnus Nakrem and Røsjø, Helge and Holmen, Oddgeir L and Nygård, Ståle and Dalen, Håvard and Hveem, Kristian and Omland, Torbjørn
The American journal of cardiology, ISSN 0002-9149, 09/2016, Volume 118, Issue 6, pp. 816 - 821
Cardiac & Cardiovascular Systems | Life Sciences & Biomedicine | Cardiovascular System & Cardiology | Science & Technology | Myocardial Infarction - blood | Myocardial Infarction - epidemiology | Prognosis | Prospective Studies | Humans | Middle Aged | Proportional Hazards Models | Male | Biomarkers - blood | Heart Failure - blood | Incidence | Troponin I - blood | Norway - epidemiology | Sex Factors | Adult | Female | Heart Failure - epidemiology | Cohort Studies | Heart failure | Risk factors | Heart attack | Hypertension | Heart attacks | Mortality | Cardiovascular disease | Hospitalization | Gender | Low density lipoprotein | Cholesterol | Proteins | Confidence intervals | Mens health | Hospitals | Womens health | Diabetes | Health risk assessment | Acute coronary syndromes | Shipments | Index Medicus | Abridged Index Medicus
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6. Full Text Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels
by Zhou, Wei and Fritsche, Lars G and Das, Sayantan and Zhang, He and Nielsen, Jonas B and Holmen, Oddgeir L and Chen, Jin and Lin, Maoxuan and Elvestad, Maiken B and Hveem, Kristian and Abecasis, Goncalo R and Kang, Hyun Min and Willer, Cristen J
Genetic epidemiology, ISSN 0741-0395, 12/2017, Volume 41, Issue 8, pp. 744 - 755
GWAS | study power | multiple reference panels | population‐specific | genotype imputation | population-specific | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Mathematical & Computational Biology | Genetic Variation | Haplotypes | European Continental Ancestry Group - genetics | Genome-Wide Association Study | Norway | Gene Frequency | Humans | Genotype | Polymorphism, Single Nucleotide | Linkage Disequilibrium | Whole Genome Sequencing | Usage | Population genetics | Genomics | Consortia | Genetic variance | Panels | Accuracy | Gene frequency | Population | Genomes | Genotypes | Gene sequencing | Index Medicus
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7. Full Text Methods for Association Analysis and Meta‐Analysis of Rare Variants in Families
by Feng, Shuang and Pistis, Giorgio and Zhang, He and Zawistowski, Matthew and Mulas, Antonella and Zoledziewska, Magdalena and Holmen, Oddgeir L and Busonero, Fabio and Sanna, Serena and Hveem, Kristian and Willer, Cristen and Cucca, Francesco and Liu, Dajiang J and Abecasis, Gonçalo R
Genetic epidemiology, ISSN 0741-0395, 05/2015, Volume 39, Issue 4, pp. 227 - 238
gene‐level tests | Rare variant | population sample | association | family sample | meta‐analysis | study design | Study design | Association | Family sample | Gene-level tests | Population sample | Meta-analysis | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Mathematical & Computational Biology | Lipoprotein Lipase - genetics | Humans | Genetic Association Studies - methods | Genotype | Apolipoprotein C-III - genetics | Cholesterol, HDL - genetics | Exome - genetics | Phenotype | Cholesterol Ester Transfer Proteins - genetics | Computer Simulation | Family | Genetic Variation - genetics | Models, Genetic | Software | Lipase - genetics | Aluminum compounds | Methods | Index Medicus | gene-level tests | meta-analysis
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8. Full Text Hypertension after preeclampsia and relation to the C1114G polymorphism (rs4606) in RGS2: Data from the Norwegian HUNT2 study
by Kvehaugen, Anne S and Melien, Øyvind and Holmen, Oddgeir L and Laivuori, Hannele and Dechend, Ralf and Staff, Anne C
BMC medical genetics, ISSN 1471-2350, 03/2014, Volume 15, Issue 1, pp. 28 - 28
Hypertension | RGS2 | G proteins | Angiotensin II | Preeclampsia | Polymorphism | Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Pre-Eclampsia - genetics | Pre-Eclampsia - epidemiology | RGS Proteins - genetics | Genetic Predisposition to Disease | Prevalence | Genetic Association Studies | Humans | Risk Factors | Genotype | Case-Control Studies | Pregnancy | Exercise | Norway | Adult | Female | Polymorphism, Single Nucleotide | Hypertension - epidemiology | Hypertension - genetics | Epidemiology | Proteins | Studies | Genotype & phenotype | Hospitals | Womens health | Technological change | Population | Genetic testing | Diabetes | Health risk assessment | Public health | Deoxyribonucleic acid--DNA | Index Medicus
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9. Full Text Impact of sex on the prognostic value of high-sensitivity cardiac troponin I in the general population: The HUNT study
by Omland, Torbjørn and De Lemos, James A and Holmen, Oddgeir L and Dalen, Håvard and Benth, Jurate Šaltyte and Nygård, Ståle and Hveem, Kristian and Røsjø, Helge
Clinical chemistry (Baltimore, Md.), ISSN 0009-9147, 04/2015, Volume 61, Issue 4, pp. 646 - 656
Life Sciences & Biomedicine | Medical Laboratory Technology | Science & Technology | Predictive Value of Tests | Prospective Studies | Humans | Middle Aged | Proportional Hazards Models | Male | Biomarkers - blood | Incidence | Troponin I - blood | Young Adult | Norway - epidemiology | Sex Factors | Aged, 80 and over | Cardiovascular Diseases - mortality | Adult | Female | ROC Curve | Aged | Cohort Studies | Heart attacks | Mortality | Cardiovascular disease | Gender differences | Family medical history | Studies | Mens health | Hospitals | Womens health | Population | Blood pressure | Diabetes | Shipments | Index Medicus
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