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The Lancet, ISSN 0140-6736, 06/2014, Volume 383, Issue 9934, p. 2042
  The report's underestimation is principally due to the use of single baseline values for blood pressure, cholesterol, and markers of glycaemia. Because these... 
Body mass index | Bias | Cardiovascular disease | Blood pressure | Health risk assessment | Metabolism
Journal Article
Annals of Internal Medicine, ISSN 0003-4819, 08/2018, Volume 169, Issue 4, pp. 265 - 266
Journal Article
by Liu, Dajiang J and Peloso, Gina M and Yu, Haojie and Butterworth, Adam S and Wang, Xiao and Mahajan, Anubha and Saleheen, Danish and Emdin, Connor and Alam, Dewan and Alves, Alexessander Couto and Amouyel, Philippe and Di Angelantonio, Emanuele and Arveiler, Dominique and Assimes, Themistocles L and Auer, Paul L and Baber, Usman and Ballantyne, Christie M and Bang, Lia E and Benn, Marianne and Bis, Joshua C and Boehnke, Michael and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and Brandslund, Ivan and Brown, Morris and Busonero, Fabio and Caulfield, Mark J and Chambers, John C and Chasman, Daniel I and Chen, Y. Eugene and Chen, Yii-Der Ida and Chowdhury, Rajiv and Christensen, Cramer and Chu, Auey Y and Connell, John M and Cucca, Francesco and Cupples, L. Aienne and Damrauer, Scott M and Davies, Gail and Deary, Ian J and Dedoussis, George and Denny, Joshua C and Dominiczak, Anna and Dubé, Marie-Pierre and Ebeling, Tapani and Eiriksdottir, Gudny and Esko, Tõnu and Farmaki, Aliki-Eleni and Feitosa, Mary F and Ferrario, Marco and Ferrieres, Jean and Ford, Ian and Fornage, Myriam and Franks, Paul W and Frayling, Timothy M and Frikke-Schmidt, Ruth and Fritsche, Lars G and Frossard, Philippe and Fuster, Valentin and Ganesh, Santhi K and Gao, Wei and Garcia, Melissa E and Gieger, Christian and Giulianini, Franco and Goodarzi, Mark O and Grallert, Harald and Grarup, Niels and Groop, Leif and Grove, Megan L and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hirschhorn, Joel N and Holmen, Oddgeir L and Huffman, Jennifer and Huo, Yong and Hveem, Kristian and Jabeen, Sehrish and Jackson, Anne U and Jakobsdottir, Johanna and Jarvelin, Marjo-Riitta and Jensen, Gorm B and Jørgensen, Marit E and Jukema, J. Wouter and Justesen, Johanne M and Kamstrup, Pia R and Kanoni, Stavroula and Karpe, Freik and Kee, Frank and Khera, Amit V and Klarin, Derek and Koistinen, Heikki A and Kooner, Jaspal S and Kooperberg, Charles and Kuulasmaa, Kari and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo and ... and VA Million Veteran Program and Charge Diabet Working Grp and EPIC-CVD Consortium and EPIC-InterAct Consortium and GOLD Consortium and Charge Diabetes Working Group and The EPIC-InterAct Consortium and Medicinska fakulteten and Institutionen för folkhälsa och klinisk medicin and Enheten för biobanksforskning and Umeå universitet and Medicin
Nature genetics, ISSN 1061-4036, 2017, Volume 49, Issue 12, pp. 1758 - 1766
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent... 
APOBEC-1 COMPLEMENTATION FACTOR | MYELOPROLIFERATIVE DISORDERS | LOW-FREQUENCY | CLONAL HEMATOPOIESIS | B MESSENGER-RNA | GENETICS & HEREDITY | TYROSINE KINASE JAK2 | CARDIOVASCULAR-DISEASE | MACULAR DEGENERATION | GENETIC ARCHITECTURE | CODING-SEQUENCE VARIANTS | Genetic Predisposition to Disease - genetics | Diabetes Mellitus, Type 2 - genetics | Humans | Risk Factors | Genetic Association Studies - methods | Genotype | Coronary Artery Disease - blood | Macular Degeneration - blood | Genetic Variation | Diabetes Mellitus, Type 2 - blood | Exome - genetics | Phenotype | Macular Degeneration - genetics | Lipids - blood | Coronary Artery Disease - genetics | Genome-wide association studies | Genetic aspects | Blood lipids | Identification and classification | Methods | Plasma | Lipoproteins (low density) | Liver | Lipids | Risk | Cardiovascular disease | Genomes | Macular degeneration | Consortia | Janus kinase 2 | Heart diseases | Lipoproteins (high density) | Age | Diabetes mellitus | Coronary artery | Health risks | Thalassemia | Triglycerides | Coronary artery disease | Loci | Cholesterol | Lipolysis | Studies | Lipoproteins | Genotyping | Alleles | Quality control | Diabetes | Basic Medicine | Medical Genetics | Medicinsk genetik | Medical and Health Sciences | Medicin och hälsovetenskap | Medicinska och farmaceutiska grundvetenskaper
Journal Article
The New England Journal of Medicine, ISSN 0028-4793, 02/2013, Volume 368, Issue 6, pp. 503 - 512
Journal Article
The Lancet, ISSN 0140-6736, 06/2018, Volume 391, Issue 10140, pp. 2606 - 2606
Journal Article
The Lancet, ISSN 0140-6736, 11/2018, Volume 392, Issue 10160, pp. 2167 - 2168
[...]a focus on current drinkers should reduce potential biases that are difficult to control in observational studies (eg, reverse causality, residual... 
Alcohol Drinking | Heart | Medical research | Health | Bias | Diabetes mellitus | Causation | Alcohol | Cardiovascular disease | Grants | Minority & ethnic groups | Alcohol use | Councils | Arteriosclerosis | Atherosclerosis | Health risk assessment | Smoking
Journal Article