72 results on '"Anette Varbo"'
Search Results
2. Association between body mass index, weight loss and the chance of pregnancy in women with polycystic ovary syndrome and overweight or obesity: a retrospective cohort study in the UK
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Christiane Lundegaard Haase, Anette Varbo, Peter Nørkjær Laursen, Volker Schnecke, and Adam H Balen
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Reproductive Medicine ,Rehabilitation ,Obstetrics and Gynecology - Abstract
STUDY QUESTIONWhat are the associations between baseline BMI (Study 1) and change in body weight (Study 2) with the likelihood of pregnancy in women with polycystic ovary syndrome (PCOS).SUMMARY ANSWERIn women with PCOS, higher baseline BMI was associated with a lower chance of pregnancy; however, weight loss was associated with an increased chance of pregnancy versus maintaining a stable weight or gaining weight.WHAT IS KNOWN ALREADYTwo studies in large cohorts of Danish women with the intention to become pregnant showed a decline in fecundability ratios with higher BMI. Furthermore, a meta-analysis found that overweight/obesity significantly worsened metabolic and reproductive outcomes in women with PCOS.STUDY DESIGN, SIZE, DURATIONData were extracted from the UK Clinical Practice Research Datalink GOLD database. Patients included women aged 18–45 years with BMI ≥18.5 (Study 1) or ≥25 kg/m2 (Study 2) at time of PCOS diagnosis (index date). The primary outcome was the time to first pregnancy recorded during 36-months’ follow-up, analysed with Cox proportional hazard models and presented as hazard ratios (HRs).PARTICIPANTS/MATERIALS, SETTING, METHODSStudy 1 included 9955 women with PCOS. Study 2 included 7593 women with PCOS and median BMI of 34.0 kg/m2.MAIN RESULTS AND THE ROLE OF CHANCEHigher BMI was associated with a lower chance of pregnancy in the 3 years following diagnosis. It was estimated that 41% of women with normal weight (18.5–24.9 kg/m2) would become pregnant compared to 17% of women with obesity class III (BMI ≥40.0 kg/m2) during follow-up. Furthermore, the chance of pregnancy for women with obesity class III was estimated to be 63% lower than for women with normal weight, with the same age and glycaemic status (HR 0.37, 95% CI 0.31–0.44; P LIMITATIONS, REASONS FOR CAUTIONMultiple factors influence the chance of pregnancy (the ability and willingness to become pregnant), which was addressed by exclusion criteria employed. The real-world nature of the study means that use of non-prescription contraceptives was not available. Bias may have been introduced by the fact that only around 40% of women with PCOS in the CPRD GOLD database had their BMI recorded during the year prior to PCOS diagnosis. BMI categories used in the analyses may not be applicable to women of all ethnicities. The study population was only representative of women in the UK and results may not be generalizable to other regions. PCOS diagnoses were based on codes entered into the system by primary care providers, and no information was available regarding the criteria used for diagnosis, although symptoms used to diagnose PCOS have not changed over time.WIDER IMPLICATIONS OF THE FINDINGSOur observations provide further evidence of the benefits of weight loss in women with overweight/obesity and PCOS who are seeking to become pregnant.STUDY FUNDING/COMPETING INTEREST(S)Novo Nordisk A/S. A.H.B. declares fees for consultancy from Novo Nordisk. P.N.L. and C.L.H. are employees of Novo Nordisk. V.S. and A.V. are employees of, and hold shares in, Novo Nordisk.TRIAL REGISTRATION NUMBERN/A.
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- 2023
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3. Elevated LDL Triglycerides and Atherosclerotic Risk
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Mie Balling, Shoaib Afzal, George Davey Smith, Anette Varbo, Anne Langsted, Pia R. Kamstrup, and Børge G. Nordestgaard
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Cardiology and Cardiovascular Medicine - Published
- 2023
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4. Small dense LDL cholesterol and ischemic stroke
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Mie, Balling, Børge G, Nordestgaard, Anette, Varbo, Anne, Langsted, Pia R, Kamstrup, and Shoaib, Afzal
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For decades it has been suggested that small dense low-density lipoprotein (sdLDL) may be particularly atherogenic. High levels of sdLDL are associated with an increased risk of ischemic heart disease; however, the association of sdLDL with ischemic stroke has not been explored in a large prospective study on the general population. We tested the hypothesis that high sdLDL cholesterol levels are associated with an increased risk of ischemic stroke.This prospective study included 38,319 individuals from the Copenhagen General Population Study with fresh sample measurements of sdLDL cholesterol. Median follow-up time was 3.1 years. We observed 302 and 74 ischemic and haemorrhagic strokes from baseline in 2013-2017 to end of follow-up in 2018. For comparison, we included estimates for large buoyant LDL cholesterol and total LDL cholesterol.Higher levels of sdLDL cholesterol were log-linearly associated with increased risk of ischemic stroke. Compared to individuals with sdLDL cholesterol in the lowest tertile (≤0.60 mmol/L; ≤23 mg/dL) the multivariable adjusted hazard ratio for ischemic stroke was 1.79 (95%confidence interval: 1.31-2.43) for the highest tertile (≥0.86 mmol/L; ≥33 mg/dL). Multivariable adjusted hazard ratios for ischemic stroke per 1 mmol/L (38.7 mg/dL) higher levels were 1.69 (1.28-2.22) for sdLDL cholesterol, 0.95 (0.78-1.16) for large buoyant LDL cholesterol, and 1.08 (0.93-1.25) for total LDL cholesterol. Hazard ratios were similar when further adjusting for BMI and diabetes mellitus in the biological pathway in combination with related lipids and lipoproteins.Higher sdLDL cholesterol levels were robustly associated with increased risk of ischemic stroke. This article is protected by copyright. All rights reserved.
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- 2023
5. Low and high pancreatic amylase is associated with pancreatic cancer and chronic pancreatitis
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Christian M. Madsen, Anne Tybjærg-Hansen, Børge G. Nordestgaard, Signe E J Hansen, Anne Langsted, and Anette Varbo
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medicine.medical_specialty ,education.field_of_study ,Epidemiology ,business.industry ,Population ,medicine.disease ,Gastroenterology ,Cancer registry ,medicine.anatomical_structure ,Interquartile range ,Pancreatic cancer ,Internal medicine ,Medicine ,Acute pancreatitis ,Pancreatitis ,Population study ,business ,Pancreas ,education - Abstract
Incidences of pancreatic cancer and acute and chronic pancreatitis are rising globally, and often no curative treatment is available at the time of diagnosis. We tested the hypothesis that low and high plasma concentrations of pancreatic amylase are associated with increased risk of pancreatic cancer, acute pancreatitis, and chronic pancreatitis in the general population. We included 101,765 individuals (55% women) aged 20–100 years from the Copenhagen General Population Study with baseline measurements of plasma pancreatic amylase. After recruitment in 2004–2015 during a median 9 years of follow-up (range 0–15), we collected information about diagnoses of pancreatic cancer, acute pancreatitis, and chronic pancreatitis from the national Danish Patient Registry, the national Danish Cancer Registry, and the national Danish Causes of Death Registry. The median age was 58 years (interquartile range: 48–67) and the median plasma pancreatic amylase 32 U/L (26–40). During follow-up, 442 individuals were diagnosed with pancreatic cancer, 282 with chronic pancreatitis, and 401 with acute pancreatitis. Compared to individuals with pancreatic amylase levels in the 41st–60th percentiles, those with extreme low (1st–2.5th percentiles) and extreme high (97.5th–100th percentiles) pancreatic amylase had hazard ratios of 2.4 (95% confidence interval; 1.6–3.6) and 2.2 (1.4–3.7) for pancreatic cancer, of 1.8 (1.1–3.3) and 3.2 (1.8–5.6) for chronic pancreatitis, and of 1.1 (0.6–1.8) and 1.5 (0.8–2.7) for acute pancreatitis, respectively. In apparently healthy individuals from the general population, extreme low and extreme high plasma pancreatic amylase were associated with 2–threefold higher risk of both pancreatic cancer and chronic pancreatitis.
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- 2021
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6. Changes in Glucose Metabolism and Glycemic Status With Once-Weekly Subcutaneous Semaglutide 2.4 mg Among Participants With Prediabetes in the STEP Program
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Leigh Perreault, Melanie Davies, Juan P. Frias, Peter Nørkjaer Laursen, Ildiko Lingvay, Sriram Machineni, Anette Varbo, John P.H. Wilding, Signe Olrik Rytter Wallenstein, and Carel W. le Roux
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Advanced and Specialized Nursing ,Adult ,Blood Glucose ,Glycated Hemoglobin ,Endocrinology, Diabetes and Metabolism ,Glucagon-Like Peptides ,Overweight ,Prediabetic State ,Diabetes Mellitus, Type 2 ,Double-Blind Method ,Internal Medicine ,Humans ,Hypoglycemic Agents ,Obesity ,Insulin Resistance - Abstract
OBJECTIVE This analysis of 3,375 adults with overweight/obesity across the Semaglutide Treatment Effect in People with obesity (STEP) 1, 3, and 4 trials evaluated whether more participants with prediabetes had normoglycemia after 68 weeks’ treatment with once-weekly semaglutide 2.4 mg plus lifestyle intervention versus placebo and assessed changes in glucose metabolism in participants with prediabetes. RESEARCH DESIGN AND METHODS STEP 1, 3, and 4 were phase 3, 68-week, randomized, placebo-controlled, multinational trials; STEP 4 had a 20-week semaglutide run-in and 48-week randomized period. Analyses included changes (week 0–68; before the washout period) in glycemic status (prespecified: STEP 1 and 3; post hoc: STEP 4), and in HbA1c, fasting plasma glucose (FPG), and HOMA insulin resistance (HOMA-IR) among participants with prediabetes (post hoc). RESULTS Significantly more participants with baseline (week 0) prediabetes (n = 1,536) had normoglycemia at week 68 with semaglutide versus placebo (STEP 1, 84.1% vs. 47.8%; STEP 3, 89.5% vs. 55.0%; STEP 4, 89.8% vs. 70.4%; all P < 0.0001). Fewer participants with baseline normoglycemia had prediabetes at week 68 with semaglutide versus placebo (STEP 1, 2.9% vs. 10.9%; STEP 3, 3.2% vs. 5.8%; STEP 4, 1.1% vs. 5.0%). Semaglutide resulted in greater improvements in HbA1c, FPG, and HOMA-IR than placebo among participants with baseline prediabetes (all P < 0.01). CONCLUSIONS STEP 1, 3, and 4 collectively provide a robust assessment of the effects of semaglutide on glucose metabolism and prediabetes in a large cohort of adults with overweight/obesity while on treatment. Among participants with baseline prediabetes, 68 weeks’ treatment with semaglutide versus placebo led to significant improvements in glucose metabolism and a higher likelihood of normoglycemia.
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- 2022
7. Worldwide Prevalence of Familial Hypercholesterolemia
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Sabina Beheshti, Børge G. Nordestgaard, Anette Varbo, and Christian M. Madsen
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medicine.medical_specialty ,education.field_of_study ,business.industry ,Population ,Disease ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Epidemiology ,medicine ,030212 general & internal medicine ,Myocardial infarction ,Cardiology and Cardiovascular Medicine ,education ,business ,Ischemic heart - Abstract
Background Despite the greater prevalence of familial hypercholesterolemia (FH) in subjects with ischemic heart disease (IHD), premature IHD, and severe hypercholesterolemia (low-density lipoprotein ≥190 mg/dl), overall prevalence estimates are not available. Objectives The aim of this study was to provide worldwide estimates of FH prevalence in subjects with IHD, premature IHD, and severe hypercholesterolemia compared with those in the general population. Methods In this systematic review and meta-analyses, Embase, PubMed, and the Web of Science were searched until June 3, 2019, for peer-reviewed papers and conference abstracts reporting heterozygous FH prevalence in nonfounder populations, revealing 104 studies eligible for inclusion. Results Estimates of FH prevalence were pooled using random-effects meta-analyses and were 0.32% (95% confidence interval [CI]: 0.26% to 0.39% [corresponding to 1:313]) among 10,921,310 unique subjects in the general population (33,036 patients with FH) on the basis of 44 studies, 3.2% (95% CI: 2.2% to 4.3% [1:31]) among 84,479 unique subjects with IHD (2,103 patients with FH) on the basis of 28 studies, 6.7% (95% CI: 4.9% to 8.7% [1:15]) among 31,316 unique subjects with premature IHD (1,471 patients with FH) on the basis of 32 studies, and 7.2% (95% CI: 4.6% to 10.8% [1:14]) among 17,728 unique subjects with severe hypercholesterolemia (920 patients with FH) on the basis of 7 studies. FH prevalence in the general population was similar using genetic versus clinical diagnoses. Seventeen of 195 countries (9%) in the world have reported FH prevalence for the general population, leaving 178 (91%) countries in the world with unknown prevalence. Conclusions Compared with 1:313 among subjects in the general population, FH prevalence is 10-fold higher among those with IHD, 20-fold higher among those with premature IHD, and 23-fold higher among those with severe hypercholesterolemia. The prevalence of FH is unknown in 90% of countries in the world.
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- 2020
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8. Once-Weekly Semaglutide 2.4 mg Improved Glucose Metabolism and Prediabetes in Adults With Overweight/Obesity in the STEP 1 Trial
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Sarah Chapelsky, Leigh Perreault, Melanie Davies, Juan P Frias, Peter Norkjaer Laursen, Ildiko Lingvay, Sriram Machineni, Anette Varbo, John Ph Wilding, Signe Olrik Rytter Wallenstein, and Carel W Le Roux
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Endocrinology ,Endocrinology, Diabetes and Metabolism ,Internal Medicine ,General Medicine - Published
- 2022
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9. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Luxia Zhang, Young-Ho Khang, Ellina Rakhimova, Kairit Mikkel, Tiina Vlasoff, Eruke E. Egbagbe, Sidsel Graff-Iversen, Ilona Nenko, Magdalena Klimek, Mathilde Savy, Sanjib Kumar Sharma, Alfonso Siani, Luís Lopes, Vanina Bongard, Gregor Jurak, Jacqueline F. Price, Christina-Paulina Lambrinou, Maria Lc Iurilli, Rainford J. Wilks, Bontha V. Babu, Fereidoun Azizi, Harunobu Nakamura, Marialaura Bonaccio, Angela Döring, Zhenyu Zhang, Naser Ahmadi, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Clive Osmond, Thirunavukkarasu Sathish, Robert J. Adams, Themistoklis Tzotzas, Reina Engle-Stone, Atul Trivedi, Shoichiro Tsugane, Niels Møller, Jorge Bezerra, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Badreya Al-Lahou, J. Jaime Miranda, Bahram Mohajer, Sigmund A. Anderssen, Lital Keinan Boker, Eero Kajantie, Martin Gulliford, Maties Torrent, Sumit Bharadwaj, Toshiharu Ninomiya, Zbigniew Gaciong, Nayu Ikeda, Li Juan Wu, Adrian Richter, Licia Iacoviello, Marc J. Gunter, Wenbin Wei, Norsyamlina Che Abdul Rahim, Eman Aly, Ambady Ramachandran, Nils Lehmann, Soile E. Puhakka, Giovanni Veronesi, Hongsheng Bi, Eiji Oda, Jia Li Duan, Per Tynelius, José María Huerta, Janne Schurmann Tolstrup, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Hanno Ulmer, Shukri F. Mohamed, Anthony Kafatos, Suyeon Park, Mohsen Ibrahim, Hamed Pouraram, Bin Zhou, May Soe Aung, Lars Bo Andersen, Erfan Ghasemi, René Charles Sylva, Himanshu K. Chaturvedi, Luc Dauchet, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Valérie Deschamps, Ko Ko Zaw, Peter Vollenweider, Tomas Vega, Yves Martin-Prével, Mahfuzar Rahman, Dorja Vočanec, Roman Topor-Madry, Vinay Nangia, Herculina S. Kruger, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Aleksander Giwercman, Elżbieta Dziankowska-Zaborszczyk, Cecilia Björkelund, Tatjana Hejgaard, Maria Puiu, Maria Benedetta Donati, Andrew Wong, Carlos P. Boissonnet, Santosh K. Bhargava, Patrick Kolsteren, Dermot O'Reilly, Bahareh Kheiri, Wolfgang Kratzer, Susanne R. de Rooij, H. Bas Bueno-de-Mesquita, Günther Fink, José R. Banegas, Michele Monroy-Valle, Drude Molbo, Mahmudur Rahman, Hynek Pikhart, Rafael N. Pichardo, Massimo Salvetti, Hui Cai, Sarah Filippi, Georg Posch, Hung-Kwan So, Yonghua Hu, Katsuyasu Kouda, Joana Carvalho, Gailute Bernotiene, Hannu Uusitalo, Thein Thein Htay, Felix Kaducu, Maigeng Zhou, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Michel Joffres, Sabina Zambon, Ronald D. Gregor, Vayia Rarra, Seyed Mohammad Hashemi-Shahri, Loreto Santa Marina, Galina Obreja, Rudolf Kaaks, Aya Mostafa, Maria do Carmo Franco, Beata Gurzkowska, Chien-Jen Chen, Marie Moitry, Nizal Sarrafzadegan, Xiangjun Wang, Diego Giulliano Destro Christofaro, Imperia Brajkovich, Fangfang Chen, Francesco Panza, Ling Yang, Holly E. Syddall, Cecily Kelleher, Michael Tornaritis, Ningli Wang, Lutgarde Thijs, Marjolein Visser, Angelika Schaffrath Rosario, María José Tormo, Jostein Steene-Johannessen, Norbert Amougou, Emmanuella Magriplis, Mar Alvarez-Pedrerol, Jingli Gao, Stig E. Bojesen, Giuseppe Grosso, Seongjun Ha, Lauren Lissner, Mikhail Benet, Anastasia Markaki, Sanjay Rampal, Antônio Augusto Moura da Silva, Maria Lorenza Muiesan, Angelique Chan, Yvonne T. van der Schouw, Annamari Lundqvist, Philippe Amouyel, Kristyna Zejglicova, Charalambos Hadjigeorgiou, João Breda, Jørgen Meisfjord, Fatima Zahra Laamiri, Carl Lachat, Kai-Uwe Saum, Vilma Irazola, Leng Huat Foo, Óscar Lopes, Dickman Gareta, Flavio Nervi, Imre Janszky, Ruzena Kubinova, Terho Lehtimäki, Mario V. Capanzana, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Shuohua Chen, Arvind Pandey, Luigi Palmieri, Roya Kelishadi, Srinivasan Kannan, Jie Mi, Robert Beaglehole, Liliana Dacica, Jyrki K. Virtanen, Mohan Deepa, Peter Ueda, Isti Ilmiati Fujiati, Hermann Pohlabeln, Morten Sodemann, Jytte Halkjær, Zbigniew Kułaga, Sophie Visvikis-Siest, Farshad Farzadfar, Mohsen Azimi-Nezhad, Henry Völzke, Karolina Milkowska, Zahra Mohammadi, Belgin Ünal, Magda Gasull, George S. Stergiou, Marshall K. Tulloch-Reid, Seppo Koskinen, James E. Bennett, Marcela González-Gross, Virginija Dulskiene, Idris Guessous, Assembekov Batyrbek, Kamarul Imran Musa, Jeannette Lee, Josep Redon, Bihungum Bista, Luisa M Macieira, Johan Sundström, Andres Metspalu, Lariane M Ono, Flora A. Ukoli, Salar Rahimikazerooni, Andrea Gualtieri, Trevor S. Ferguson, Félicité Tchibindat, Eliza Cinteza, Ha Tp Do, Tajana Zeljkovic Vrkic, Tuyen D Le, Alison J. Hayes, Abdul Basit, Chandini Nekkantti, Teresa Norat, Eunice Ugel, Gulmira Aitmurzaeva, Mariachiara Di Cesare, Abdul Hamid Zargar, Vincenzo Solfrizzi, Garry L. Jennings, Aline Meirhaeghe, Kaare Christensen, Päivi Mäki, Xu Lin, Ali Esmaeili, Joanna Baran, Aneta Grajda, Renata Cifkova, Alexandre C. Pereira, Martin Bobak, Iuliia A Rusakova, Keiu Nelis, Damian K Francis, Guansheng Ma, Axel C. Carlsson, Alejandro Diaz, Alireza Ansari-Moghaddam, N Capkova, Zumin Shi, Maria Turley, Imelda A. Agdeppa, Helena I. S. Nogueira, Marcia Scazufca, Katharina Maruszczak, Natascia Rinaldo, Paulo A. Lotufo, Nuno Lunet, Thor Aspelund, Caroline H.D. Fall, Antonio Cabrera de León, Ahmad Faudzi Yusoff, Holger Theobald, Beatriz D'Agord Schaan, Pedro Marques-Vidal, William A. Neal, Mihai Gafencu, Tandi E. Matsha, Ana B. Crujeiras, Ahmad Reza Dorosty, Alain Morejon, Weili Yan, Dominique Hange, Bekbolat Zholdin, Frédéric Gottrand, Jorge Mota, Jana Námešná, Stevo Popovic, Louise Eriksen, Line Lund Kårhus, Cihangir Erem, Juergen Breckenkamp, Mathilde Kersting, Yi Song, Martin McKee, Aleksandra Gomula, Rafaela Rosário, Enzo Manzato, S. Goya Wannamethee, Sounnia Mediene Benchekor, Azim Nejatizadeh, Krishna Kumar Aryal, Juan P. González-Rivas, Vedrana Sember, Stephen T. McGarvey, Jukka T. Salonen, Patrick Pasquet, Patricia Varona-Pérez, Amelia C. Crampin, Ramin Heshmat, Violeta Iotova, Juvenal Soares Dias-da-Costa, Oye Gureje, Aletta E. Schutte, João Luiz Bastos, Anelise Reis Gaya, Konrad Jamrozik, Dalia Luksiene, Amina Barkat, Maria Paula Santos, José Camolas, Azli Baharudin, Diego Vanuzzo, Doris Stöckl, Rosalynn Siantar, Jouko Saramies, Albertino Damasceno, Davood Khalili, Simona Bo, Martina Müller-Nurasyid, Dominique Cottel, Markku Peltonen, Fikru Tullu, Ana Isabel Rito, Angélica Ochoa-Avilés, Annette J. Dobson, Christopher T. Cowell, Charumathi Sabanayagam, Rildo de Souza Wanderley Júnior, Oanh T. H. Trinh, Farahnaz Joukar, Mostafa K. Mohamed, Mostafa Qorbani, Jeongseon Kim, Helmut Schröder, Machi Suka, Natasja M. van Schoor, Jussi Kauhanen, Teresa Haugsgjerd, Goodarz Danaei, M. Fernanda Lima-Costa, Yong Tao, Elisabetta L. Romeo, Grazyna Jasienska, Victor Guillermo Sequera, Kazem Mohammad, Yanina Zócalo, Fernanda Cunha Soares, Jianfeng Wu, Mohammad Esmaeel Motlagh, María Elena Díaz-Sánchez, Monika Zuziak, Eldridge Ferrer, Anette Varbo, Leila Beltrami Moreira, Jeremy M. Jacobs, Kenneth James, Elena Sacchini, Pascal Bovet, Mahboubeh Parsaeian, Tania Lopez, Ya Xing Wang, Wojciech Drygas, Jody C Miller, Svetlana A. Shalnova, Maria Elisa Zapata, Chung T Nguyen, Nimmathota Arlappa, Edwige Landais, Thorkild I. A. Sørensen, Jeannette Klimont, Amirabbas Momenan, Erik J. Timmermans, Mari-Liis Tammesoo, Jost B. Jonas, Stefania Toselli, Maria Teresa Anselmo Olinto, Bahman Cheraghian, Kouamelan Doua, Esteban Carmuega, Marjeta Mišigoj-Duraković, Bo Werner, M. Arfan Ikram, Breige A. McNulty, Christa Meisinger, Clara Homs, Namuna Shrestha, Alina Kerimkulova, Youcef Laid, Claes Ohlsson, Alicia Matijasevich, Alison J Price, Ala'a Alkerwi, Kristine H. Allin, Lorenza Pilotto, Mohannad Al Nsour, Ingunn Holden Bergh, Marianna Noale, Heba Fouad, Vilnis Dzerve, Novie O. Younger-Coleman, Peter Willeit, Andrea R. V. R. Horimoto, Freda Pitakaka, Habiba Ben Romdhane, Savvas C. Savva, Rajeev Gupta, Jennifer Servais, Cristina Padez, Sarah P. Garnett, Maria del Cristo Rodriguez-Perez, Michala Lustigová, Tien Yin Wong, Rosa Haghshenas, Jonathan Giovannelli, Christina Howitt, Marleen E. Hendriks, Fadia AlBuhairan, Huashuai Chen, Gretchen A Stevens, Luís B. Sardinha, David Goltzman, Jenny M. Kindblom, Karina Mary de Paiva, Yousef Khader, Eric Monterrubio-Flores, Rajendra Pradeepa, Yi-Ting Lin, Martin Neovius, Juan Francisco Miquel, Ellis Owusu-Dabo, Anil Poudyal, Marzieh Katibeh, Tanja Stocks, Veronica Mocanu, Ulla Roggenbuck, Robespierre Ribeiro, Gabriele Eiben, Mary Simon, Christine Cameron, Hamid Hakimi, Kamel Ajlouni, Jakub Stokwiszewski, Iulia Jurca Simina, Pietro Amedeo Modesti, Frederick C. W. Wu, Peter Kristensen, Charles Mondo, Felix Gutzwiller, Mariana Sbaraini, Martijn Huisman, Betina H. Thuesen, Queenie Chan, Antonisamy Belavendra, Artur Mazur, Ulf Ekelund, Laura A. Rodríguez-Villamizar, Marcos André Moura-dos-Santos, Jean Ferrières, Farhad Zamani, Shina Avi, Yves Kameli, Luis Paulo Gomes Mascarenhas, Aluísio J D Barros, Thomas Meinertz Dantoft, Hossein Poustchi, Farid Najafi, Giovanni de Gaetano, Azaliia M Tuliakova, Vera Lanska, Tint Swe Latt, Matthias Bopp, Abbas Rezaianzadeh, Rod Jackson, Johan Van der Heyden, Reecha Sofat, Koen Van Herck, Allan G. Hill, Con Burns, Emanuela Pettenuzzo, Ming-Dong Wang, Stela McLachlan, Ulrike Gehring, Ranko Stevanovic, Nagalla Balakrishna, Lekhraj Rampal, Marjolijn C. E. Bragt, Saeid Eslami, Napoleón Pérez-Farinós, G. K. Mini, Viktoria Anna Kovacs, Rosemarie Martin, Nahla Hwalla, Wei Zheng, Hoang Van Minh, Edward D Janus, Laetitia Huiart, Farhad Pourfarzi, Sudha Ramachandra Rao, Fred Paccaud, Marcia Makdisse, Aye Aye Sein, Enrique Gutiérrez-González, Yang Yang, Anneke Blokstra, Henrike Galenkamp, Jaume Marrugat, Nazan Yardim, Wan Nazaimoon Wan Mohamud, Jesús Ibarluzea, Julio Zuñiga Cisneros, Laura Lauria, Argyro Karakosta, Dragana P Jovic, Jun Hata, Elio Riboli, Piotr Bandosz, Xun Tang, Parvina Mukhtorova, Jean Dallongeville, Jean-Bernard Ruidavets, Anne Tjønneland, Guillermo Frontera, Rahul Malhotra, Thomas Ferrao, Aleksandra Piwońska, Dusan Grafnetter, Mette Rasmussen, Daniel Weghuber, Sherali Rakhmatulloev, Martine Vrijheid, Johann Willeit, Motahareh Kheradmand, Małgorzata Mossakowska, Lechaba Tshepo, Dongfeng Gu, Hyeon Chang Kim, Vilmundur Gudnason, Maria Forsner, Peter Bjerregaard, Leon A. Simons, Rachael McLean, Japhet Killewo, Ramón Suárez-Medina, Y Nikitin, Eng Joo Tan, Jean Claude Mbanya, Aroor Bhagyalaxmi, Renata Kuciene, Kairat Davletov, Jose Eugenio Lozano, Afshin Ostovar, Niloofar Peykari, Guy De Backer, Soheir H Ahmed, Nicholas J. Wareham, Sai Yin Ho, Constanta Huidumac Petrescu, Maria Hassapidou, Iris Pigeot, Myriam Galfo, Susana Cararo Confortin, Blanca Sandra Ruiz-Betancourt, W. M. Monique Verschuren, Catterina Ferreccio, Fabio Galvano, Leila Houti, Daniel Bia, Annika Rosengren, Marcin Rutkowski, Biruta Velika, Joana Araújo, Fernando Rigo, Angela Spinelli, Scott B. McLean, Shirin Djalalinia, Marie Kunešová, Boban Mugoša, Sania Nishtar, Mangesh S. Pednekar, Shahla AlDhukair, Helle-Mai Loit, Antonis Zampelas, Altan Onat, Maciej Banach, Shohreh Naderimagham, Hajer Aounallah-Skhiri, Maja Bæksgaard Jørgensen, Yin Guo, Ewelina Czenczek-Lewandowska, Parasmani Dasgupta, Elvis Oa Wambiya, Inge Huybrechts, Raimund Erbel, Jari Jokelainen, Ana P. Ortiz, Stefan Kiechl, Emmanuel Cohen, Caleb Ochimana, Shynar Abdrakhmanova, Laura Censi, Iqbal Bata, Geetha R Menon, Snehalatha Chamukuttan, Pedro Plans-Rubio, Domenico Palli, Ana Azevedo, Slawomir Koziel, Benoît Salanave, Parinaz Mehdipour, Shu Ti Chiou, Lela Sturua, Lubica Ticha, Felipe Vogt Cureau, Jin Soo Moon, Ming-Hui Zhao, Urho M. Kujala, Nathalie Michels, Ertugrul Celikcan, Jaakko Tuomilehto, Judith Benedics, Tobias F. Rinke de Wit, Agnès Le Port, Reza Homayounfar, Andrea Rodriguez-Martinez, Tai Hing Lam, Yn-Tz Sung, Jürgen König, Kodavanti Mallikharjuna Rao, Hazzaa M. Al-Hazzaa, Karen Morgan, Bogdan Wojtyniak, Cynthia M. Pérez, Ilse Khouw, Manoli Garcia-de-la-Hera, Dong Wook Shin, Genc Burazeri, Ausra Petrauskiene, Charles Sossa Jérome, Kenisha Russell Jonsson, José Boggia, Daniela Galeone, Alice Bonilla-Vargas, Han Cg Kemper, Rahman Shiri, Stefaan Demarest, Else Karin Grøholt, San-Lin You, Adelheid Weber, Juha Auvinen, Aida Pilav, Sibel Gogen, Suzanne N Morin, Wan Mohamad Wan Bebakar, Viviane Cunha Cardoso, Kavumpurathu Raman Thankappan, Hana Zamrazilová, Frank Claessens, Karien Stronks, Helen Gonçalves, Tahir Aris, Luis Revilla, Sérgio Viana Peixoto, Zhamilya Battakova, Jing Liu, Eliza Markidou Ioannidou, Leticia Hernandez Cadena, Priscilla Duboz, Sandjaja, Tiina Laatikainen, Rafel Ramos, Sareh Eghtesad, Judith Simons, Orn Olafsson, E. Shyong Tai, Louise A. Baur, Nihal Thomas, Aung Soe Htet, Bente Sparboe-Nilsen, Paul Elliott, Soon-Woo Park, Angel R. Gonzalez, Ying-Wei Wang, Rob M. van Dam, Ryutaro Ohtsuka, Ludmila Sevcikova, Suhaila Abdul Ghaffar, Lynell V Maniego, Fariborz Mansour-Ghanaei, Maria Dorobantu, Giovanni Viegi, Xiaoguang Yang, Honor Bixby, Prakash C. Gupta, Ofra Kalter-Leibovici, Eugene Sobngwi, Ričardas Radišauskas, Jurate Medzioniene, Roy A Wong-McClure, Kim F. Michaelsen, Antonia Trichopoulou, Tania Tello, Francesco Branca, Johanna Gunnlaugsdottir, Els Clays, Wei-Yen Lim, Suzanne C. Ho, Toomas Veidebaum, Rebecca Goldsmith, Margot González-León, Matthias Nauck, Alibek Mereke, Marta Buoncristiano, Jakob Tarp, Rosalba Rojas-Martínez, Maya Tanrygulyyeva, Reza Malekzadeh, Abdonas Tamosiunas, Dimitrios Poulimeneas, Pedro Ordunez, Isabelle Herter-Aeberli, Khanh Le Nguyen Bao, Anne Juolevi, Vassilis Zafiropulos, Emanuela Gualdi-Russo, Jordi Sunyer, Manu Raj, Chaoqiang Jiang, Sofia Malyutina, Efthymios Kapantais, Maria Lazo-Porras, Maung Maung Than Htike, Michael Hobbs, Ranjit Mohan Anjana, Merike Liivak, Johan G. Eriksson, Margarita Samoutian, Andreia N. Pizarro, Mohammed Rasoul Tarawneh, Jean Woo, Kaspar Staub, Maria Teresa Menzano, Mojtaba Farjam, Adroaldo Cesar Araujo Gaya, Mohammad El-khateeb, Zulfiqar A Bhutta, Mukharram M. Bikbov, Hsien-Ho Lin, Oscar Noboa, Thomas Waldhör, Garry Brian, Simona Costanzo, Frank Tanser, Nor Azwany Yaacob, Michelle Cilia, Ivo Rakovac, Bill Stavreski, Ioannis Pagkalos, Ivan Pećin, Carlo M. Barbagallo, Abla M. Sibai, Yuna He, Matsuda Fumihiko, Bharathi Viswanathan, Ali Reza Safarpour, Wei Cheng Lo, Abdullatif Husseini, Jiang He, Liv Elin Torheim, Nipa Rojroongwasinkul, Aicha Soumare, Astrid Petersmann, Tomasz Grodzicki, Davide Noto, Panayiotis K. Yiallouros, Kelias P. Msyamboza, William R. Tebar, Yingfeng Zheng, Eha Nurk, Bhawesh Koirala, Ana Jelakovic, Suhad Bahijri, Freja B Kampmann, Qi Sheng You, Marika Ferrari, María-Elena González-Villalpando, Aline Wagner, Olfa Saidi, Anwar Batieha, Eduardo Capuano, Coimbatore Subramaniam Shanthirani, Dong Wook Kim, Albina A Fakhretdinova, Tom Wilsgaard, Maria Avdicova, Moesijanti Soekatri, Chiara Donfrancesco, Salim Mohanna, Paola Russo, Uruwan Yamborisut, Rafael dos Santos Henrique, Martin Nankap, Allan Linneberg, Khairil Si-Ramlee, Kirsten Mehlig, Christina Mavrogianni, Raluca Pop, Lèlita Santos, Graziella Bruno, Valentina Peterkova, Iná S. Santos, Georg Lappas, Alberto Palloni, Malay K. Mridha, Andrzej Pajak, Marta García-Solano, Stefaan De Henauw, Daniel Ferrante, Rute Santos, Anders Grøntved, Lucjan Szponar, Mihaela Vladulescu, Chien-An Sun, Jan A. Staessen, Paula Duarte de Oliveira, Norazizah Ibrahim Wong, Maria Nordendahl, Elaine M. Dennison, Jeonghee Lee, Diego Salmerón, Ida Maria Schmidt, Gao Pei, Noushin Mohammadifard, Igor Spiroski, Fernando Rodríguez-Artalejo, Xu Ma, Elin Pettersen Sørgjerd, Valéria Regecová, Cláudia S. Minderico, Johanna A. Otero, Jamila Abubakar Garba, Vesselka Duleva, Rui Ornelas, Ilpo Huhtaniemi, Cesar G. Victora, Lijuan Liu, Rody G. Sy, Mahmood Moosazadeh, Ali Ahmadi, Antonio Pedro Graça, Natalia Nowak-Szczepanska, Miao Li Chee, Michael Sjöström, Charles Agyemang, Shiqi Zhen, Xiu-Hua Guo, Pawel Kurjata, Jardena J. Puder, Mehrdad Azmin, Neil Murphy, Kaosar Afsana, Alireza Sadjadi, Johanna M. Geleijnse, Prashant Mathur, Elysée Claude Bika Lele, Raphael Mendes Ritti-Dias, Yannis Manios, Majid Shirani, Rosemary B. Duda, Liis Nelis, Jurate Klumbiene, Zhengming Chen, Wichai Aekplakorn, Alun Evans, Andrzej Wiecek, Lars Lind, Denise Eldemire-Shearer, Bernardo L. Horta, Macia Enguerran, Seyed Rasoul Zakavi, Daniel Fernández-Bergés, Kumiko Ohara, Ursula Kiechl-Kohlendorfer, Hermann Brenner, Przemyslaw Slusarczyk, Espen Bjertness, Jutta Stieber, Augusto Di Castelnuovo, Joel G. R. Roy, Aryeh D. Stein, Ruth Frikke-Schmidt, Vera Musil, Amaneh Shayanrad, Marcel Goldberg, Ramon O. Jimenez, Mohammad Reza Fattahi, Jolanda Hyska, Amir Houshang Mehrparvar, Elin Kolle, Mohamed Bamoshmoosh, Michelle Holdsworth, Felipe F. Casanueva, Børge G. Nordestgaard, Niels Wedderkopp, Eva Corpeleijn, Elias F. Gudmundsson, Antonio Mistretta, Daniel Lemogoum, Larissa Pruner Marques, Slavica Sović, Olli T. Raitakari, Marco Aurélio Peres, Alexandra Cucu, Gregorio Varela-Moreiras, Janine Clarke, Andrea Gazzinelli, Mieczysław Litwin, Sara Schramm, Xenophon Theodoridis, Harshpal Singh Sachdev, Mohammad Reza Mirjalili, Dimitrios Papandreou, Peter T. Katzmarzyk, Benjamin Acosta-Cazares, Ben Schöttker, Prabhdeep Kaur, Norlaila Mustafa, Shariq Rashid Masoodi, Sadaf G. Sepanlou, Adolfo Rubinstein, Francis Delpeuch, Julianne Williams, Abbas Dehghan, Leanne M. Riley, Heloisa Bettiol, Gabriele Nagel, Ellisiv B. Mathiesen, Ekaterina Stoyanova, Alisha N. Wade, Zhamyila Usupova, Arnaud Chiolero, Oonagh Markey, Jacqueline Ramke, Elena Bogova, Niveen M E Abu-Rmeileh, Nguyen D Nguyen, Tomasz Zdrojewski, Marjo-Riitta Järvelin, Jose Sanchez-Abanto, Rômulo Araújo Fernandes, Lourdes Ribas-Barba, Nalan Uysal, Mohamad Hasnan Ahmad, Krista Fischer, Maria Wany Louzada Strufaldi, Ramiro Guerrero, Farnam Mohebi, Tran Quoc Bao, Flávio Danni Fuchs, Salim Berkinbayev, Enisa Kujundzic, Sari Voutilainen, Farzad Hadaegh, Robert Lundqvist, Saeid Safiri, Iraj Mohebbi, George Luiz Lins Machado-Coelho, Annette Peters, Gonzalo Valdivia, Magdalena Korzycka, Rajiv T Erasmus, Masanori Iwasaki, Charmaine A. Duante, Sheikh Mohammed Shariful Islam, Quang Ngoc La, Ricky Eddie, Petra Rust, Daniela Rodrigues, Dirk De Bacquer, Karen Sparrenberger, Agneta Sjöberg, Thet Thet Mu, Katarzyna Dereń, Cora L. Craig, Jorge Motta, Janina Petkeviciene, Boyd Swinburn, Paibul Suriyawongpaisal, Visnja Djordjic, Ramón Alberto Rascón-Pacheco, Pradeep Joshi, Daan Kromhout, Marius B. Bjertness, Stefano Marventano, Juel Jarani, Alireza Khosravi, Eva Martos, David De Ridder, Lizzy M. Brewster, Nico Dragano, Liam Smeeth, Kenji Shibuya, Emma Ruiz Moreno, Hashem Jaddou, Grzegorz Sobek, Dimitrios Trichopoulos, Marvin Cervantes-Loaiza, Abu Am Hanif, Elaine M. Murtagh, Carlos A. Aguilar-Salinas, Graziella D'Arrigo, Kyungwon Oh, Heiner Boeing, Regina Heidinger-Felso, André Luiz Sena Guimarães, Balkish M. Naidu, Avula Laxmaiah, Ana M. B. Menezes, Marie Eliasen, Francesco Pistelli, Yuan He, Dusko Bjelica, José A. Casajús, Guang Ning, Lutgart Braeckman, Dirk Vanderschueren, Jochanan Stessman, Ivana Radic, Yi Zeng, Hans Concin, Damaskini Valvi, Sari Hantunen, Catherine Kyobutungi, Diego Augusto Santos Silva, Wenhua Zhao, Sok King Ong, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Mattias Johansson, Samuel C. Dumith, Magdalena Muc, Sabine Schipf, Idowu O Senbanjo, Jim Mann, Rajaa Al-Raddadi, Yih Chung Tham, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Sahar Saeedi Moghaddam, Reza Mohammadpourhodki, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Camilla T. Damsgaard, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Constance Schultsz, Santiago F. Gomez, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Pierre Traissac, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Eleonora d'Orsi, Irene G. M. van Valkengoed, Anna Fijałkowska, Wen-Harn Pan, Gregor Starc, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Abdullah Alkandari, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Saeed Dastgiri, Lien Braeckevelt, Nasheeta Peer, Radka Taxová Braunerová, Mohamed M. Ali, Steiner Krokstad, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Silvana Donoso, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Dianna J. Magliano, Jitendra Jonnagaddala, Konstantinos Gkiouras, Paola Nardone, Alberto Barceló, Tomi-Pekka Tuomainen, Francesco Gianfagna, Stefania Maggi, Mohammad Hossein Somi, Behrooz Hamzeh, Miquel Porta, Vesna Jureša, Alexander D. Deev, David Faeh, Antonio Bernabe-Ortiz, Sirkka Keinänen-Kiukaanniemi, Ian Hambleton, Stefan Savin, Andre Pascal Kengne, R. Krishna Kumar, Kurt Widhalm, Marco M Ferrario, Parisa Amiri, Anjani Kumar Jha, Thamara Hubler Figueiró, Jana Kratenova, Claudia M. Hormiga, Maria Tsigga, Zivka Dika, Indrapal I. Meshram, Ei Ei K. Nang, Ian Rouse, Rusidah Selamat, Paul Korrovits, Grethe S. Tell, Julie Taylor, Anabela Mota-Pinto, Paolo Vineis, Kotsedi D Monyeki, Khuong Quynh Long, Frank J Rühli, Shelly R. McFarlane, Sara Santos Sanz, Edyta Łuszczki, Maria G. Stathopoulou, Tara Coppinger, Karin De Ridder, Lucie Viet, Anna Bugge, Mehdi Yaseri, Safiah Md Yusof, Sandra C. Fuchs, Muhammad Islam, Irfan Nuhoglu, Rui Providência, Bernard Maire, Leandra Abarca-Gómez, Sinead Brophy, Maria Ruiz-Castell, Daniela Pierannunzio, Cristina Taddei, Gowri Mahasampath, Gustavo Velasquez-Melendez, Hanna Tolonen, Sudhir Kowlessur, Bagher Larijani, Laura Torres-Collado, Susi Kriemler, Ali Akbar Shayesteh, Cynthia Robitaille, Jorge Escobedo-de la Peña, Yufang Bi, Chinh Nguyen Huu, Line Tang Møllehave, Vincent Jr DeGennaro, Noor Ani Ahmad, Anar Dushpanova, Agustinus Soemantri, Susana Sans, Ionela Pascanu, Gwenaëlle Le Coroller, Inger Ariansen, Kodanda R Kanala, Gert B. M. Mensink, Abhijit Sen, Sergej M. Ostojic, Hanan F. Abdul Rahim, Hélène Delisle, Francisco J. Félix-Redondo, Yadlapalli S. Kusuma, Michael Knoflach, Moein Yoosefi, Tanja G. M. Vrijkotte, Wolfgang Ahrens, Osvaldo Santos, Bethlehem D. Solomon, Erik Lykke Mortensen, Nikhil D. 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Chan School of Public Health, Middlesex University [London], Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) (UMR MoISA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Wellcome TrustEuropean Commission, Clinical Developmental Psychology, APH - Mental Health, Sociology, The Social Context of Aging (SoCA), Nutrition and Health, Iurilli, Maria LC [0000-0003-0409-1635], Zhou, Bin [0000-0002-1741-8628], Ezzati, Majid [0000-0002-2109-8081], Apollo - University of Cambridge Repository, Epidemiology and Data Science, APH - Aging & Later Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH 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Ltd, Orebro University, University of London, Universitas Indonesia, Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs, Children’s Hospital of Fudan University, University of Cyprus, Niigata University, International Medical University, Iran University of Medical Sciences, Center for Diabetes and Endocrine Care, Peking University First Hospital, Jiangsu Provincial Center for Disease Control and Prevention, Sun Yat-sen University, West Kazakhstan Medical University, Inner Mongolia Medical University, University of Ghana, Maria Lc Iurilli , Bin Zhou , James E Bennett , Rodrigo M Carrillo-Larco , Marisa K Sophiea , Andrea Rodriguez-Martinez , Honor Bixby , Bethlehem D Solomon , Cristina Taddei , Goodarz Danaei , Mariachiara Di Cesare , Gretchen A Stevens , Leanne M Riley , Stefan Savin , Melanie J Cowan , Pascal Bovet , Albertino Damasceno , Adela Chirita-Emandi , Alison J Hayes , Nayu Ikeda , Rod T Jackson , Young-Ho Khang , Avula Laxmaiah , Jing 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Jelena Kos , Seppo Koskinen , Katsuyasu Kouda , Viktoria A Kovacs , Sudhir Kowlessur , Slawomir Koziel , Jana Kratenova , Wolfgang Kratzer , Susi Kriemler , Peter Lund Kristensen , Steinar Krokstad , Daan Kromhout , Herculina S Kruger , Ruzena Kubinova , Renata Kuciene , Urho M Kujala , Enisa Kujundzic , Zbigniew Kulaga , R Krishna Kumar , Marie Kunešová , Pawel Kurjata , Yadlapalli S Kusuma , Kari Kuulasmaa , Catherine Kyobutungi , Quang Ngoc La , Fatima Zahra Laamiri , Tiina Laatikainen , Carl Lachat , Youcef Laid , Tai Hing Lam , Christina-Paulina Lambrinou , Edwige Landais , Vera Lanska , Georg Lappas , Bagher Larijani , Tint Swe Latt , Laura Lauria , Maria Lazo-Porras , Gwenaëlle Le Coroller , Khanh Le Nguyen Bao , Agnès Le Port , Tuyen D Le , Jeannette Lee , Jeonghee Lee , Paul H Lee , Nils Lehmann , Terho Lehtimäki , Daniel Lemogoum , Naomi S Levitt , Yanping Li , Merike Liivak , Christa L Lilly , Wei-Yen Lim , M Fernanda Lima-Costa , Hsien-Ho Lin , Xu Lin , Yi-Ting Lin , Lars 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Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charle, Szklo, Moyse, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Matie, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistokli, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Toma, Veidebaum, Tooma, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thoma, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Weber, Adelheid, Wedderkopp, Niel, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassili, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antoni, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, Filippi, Sarah, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
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Population -- Health aspects ,Leanness ,Baixo peso/Underweight ,none ,Double burden ,alipainoisuus ,tulotaso ,global health ,systematic analysis ,Sedentary behaviors ,RC1200 ,Prospective associations ,0302 clinical medicine ,underweight ,nälänhätä ,Biology (General) ,skin and connective tissue diseases ,Children ,ComputingMilieux_MISCELLANEOUS ,Body mass index ,Human Nutrition & Health ,education.field_of_study ,Humane Voeding & Gezondheid ,ylipaino ,General Medicine ,kansainvälinen vertailu ,3. Good health ,World health ,Medicine ,A100 Pre-clinical Medicine ,Population distribution ,medicine.medical_specialty ,QH301-705.5 ,Science ,Socio-culturale ,Nursing ,Social sciences ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Thinness ,SDG 3 - Good Health and Well-being ,BMI ,epidemiology ,obesity ,None ,Humans ,Obesidade/Obesity ,SDG 2 - Zero Hunger ,education ,VLAG ,US adults ,Omvårdnad ,body mass index ,malnutrition ,obesity, underweight ,nutritional and metabolic diseases ,medicine.disease ,terveellisyys ,Obesity ,Faculdade de Ciências Sociais ,Body Mass Index ,Prevalence ,Risk Factors ,General Biochemistry ,WIAS ,lihavuus ,RA ,Demography ,N.A ,double burden ,Settore MED/09 - Medicina Interna ,alueelliset erot ,Nutrition and Disease ,Animal Nutrition ,[SDV]Life Sciences [q-bio] ,Medizin ,030204 cardiovascular system & hematology ,0601 Biochemistry and Cell Biology ,Change distribution of body mass index ,RA0421 ,Voeding en Ziekte ,Epidemiology ,Medicine and Health Sciences ,Global health ,Índice de massa corporal/Body Mass Index ,030212 general & internal medicine ,Underweight ,painoindeksi ,2. Zero hunger ,General Neuroscience ,aliravitsemus ,elintarvikkeet ,health ,Public Health, Global Health, Social Medicine and Epidemiology ,Diervoeding ,3142 Public health care science, environmental and occupational health ,purl.org/pe-repo/ocde/ford#3.01.03 [https] ,Chinese adults ,pooled analysis ,medicine.symptom ,Diet quality ,B120 Physiology ,Research Article ,trends ,purl.org/pe-repo/ocde/ford#1.06.03 [https] ,prevalence ,Population ,Mothers ,Genetics and Molecular Biology ,3121 Internal medicine ,medicine ,Life Science ,ddc:610 ,3125 Otorhinolaryngology, ophthalmology ,kehonkoostumus ,Nutrition ,Australian adults ,General Immunology and Microbiology ,purl.org/pe-repo/ocde/ford#3.01.04 [https] ,Ciências sociais ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Malnutrition ,Epidemiology and Global Health ,sense organs ,Estilos de Vida e Impacto na Saúde - Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions., Wellcome Trust, Medical Research Council, peer-reviewed
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- 2021
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10. Abstract 10469: Cardiometabolic Risk Factors as Causal Mediators of the Relationship Between High Body Mass Index and Chronic Kidney Disease: A Two-Step Mendelian Randomization Study and Mediation Analyses
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Frida Emanuelsson, Kaitlin Wade, Anette Varbo, Anne Tybjaerg-hansen, George Davey Smith, Borge G Nordestgaard, Marianne Benn, and Nicholas Timpson
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Physiology (medical) ,Cardiology and Cardiovascular Medicine - Abstract
Introduction: Observational studies suggest that obesity is a risk factor of chronic kidney disease (CKD). It is unclear whether this reflects a direct causal effect of obesity or an effect mediated by obesity-related metabolic changes. Hypotheses: We hypothesised that 1) obesity is a causal risk factor of CKD defined as eGFR 2 and 2) this causal effect is mediated through changes in low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterols, triglycerides, glucose, blood pressure and C-reactive protein (CRP) levels. Methods: To assess causality and investigate mediation, we used a combination of observational, two-step Mendelian randomization, and mediation analyses on individual-level data from two cohorts of the Danish general population (N=117,213). Results: Observationally, higher BMI was associated with a lower eGFR (change in eGFR; -0.81, confidence interval [CI]: -0.89- -0.73)) and a higher risk of CKD (odds ratio [OR]:1.19; 95% CI: 1.16-1.22) per 5kg/m 2 higher BMI (p for trend for both -40 ). Mendelian randomization analyses supported a causal effect of higher BMI on lower eGFR (change in eGFR -17.3 mL/min/1.73m 2 (95%CI: -19.3- -15.3), and risk of CKD (risk ratio [RR]6.99 (95%CI: 1.63-30.1) per 5kg/m 2 higher BMI. Measured BMI and the BMI allele score used in Mendelian randomization analyses were associated with changes in levels of LDL and HDL cholesterols, triglycerides, glucose, blood pressure, and CRP. Observational and Mendelian randomization analyses showed evidence to support a causal effect of changes in levels of systolic and diastolic blood pressure, LDL cholesterol and CRP with lower eGFR and higher risk of CKD. Of the excess risk of CKD coming from high BMI, elevated systolic and diastolic blood pressure mediated 18%(95%CI:14-22) and 9% (7-11), respectively. 9% (95%CI: 8-12) was mediated by elevated LDL cholesterol and 29% (95%CI: 23-35) by elevated CRP. Conclusion: Triangulating evidence from observational and Mendelian randomization analyses provided evidence to support a causal role of obesity on the risk of CKD and that this causal effect may be partly mediated by elevated systolic and diastolic blood pressure, CRP and LDL cholesterol levels.
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- 2021
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11. Lipoprotein(a)-Lowering by 50 mg/dL (105 nmol/L) May Be Needed to Reduce Cardiovascular Disease 20% in Secondary Prevention
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Anette Varbo, Pia R. Kamstrup, Børge G. Nordestgaard, Christian M. Madsen, and Anne Langsted
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Adult ,Male ,medicine.medical_specialty ,Time Factors ,Denmark ,Disease ,030204 cardiovascular system & hematology ,Gastroenterology ,Young Adult ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Primary prevention ,Secondary Prevention ,medicine ,Humans ,030212 general & internal medicine ,Aged ,Hypolipidemic Agents ,Retrospective Studies ,Secondary prevention ,biology ,business.industry ,Cholesterol ,Lipoprotein(a) ,Middle Aged ,Prognosis ,Population based study ,chemistry ,Cardiovascular Diseases ,Population Surveillance ,biology.protein ,Female ,Morbidity ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies ,Lipoprotein - Abstract
Objective: High Lp(a) (lipoprotein[a]) cause cardiovascular disease (CVD) in a primary prevention setting; however, it is debated whether high Lp(a) lead to recurrent CVD events. We tested the latter hypothesis and estimated the Lp(a)-lowering needed for 5 years to reduce CVD events in a secondary prevention setting. Approach and Results: From the CGPS (Copenhagen General Population Study; 2003–2015) of 58 527 individuals with measurements of Lp(a), 2527 aged 20 to 79 with a history of CVD were studied. The primary end point was major adverse cardiovascular event (MACE). We also studied 1115 individuals with CVD from the CCHS (Copenhagen City Heart Study; 1991–1994) and the CIHDS (Copenhagen Ischemic Heart Disease Study; 1991–1993). During a median follow-up of 5 years (range, 0–13), 493 individuals (20%) experienced a MACE in the CGPS. MACE incidence rates per 1000 person-years were 29 (95% CI, 25–34) for individuals with Lp(a) Conclusions: High concentrations of Lp(a) are associated with high risk of recurrent CVD in individuals from the general population. This study suggests that Lp(a)-lowering by 50 mg/dL (105 nmol/L) short-term (ie, 5 years) may reduce CVD by 20% in a secondary prevention setting.
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- 2020
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12. Low High-Density Lipoprotein Cholesterol to Monitor Long-Term Average Increased Triglycerides
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Anette Varbo, Børge G. Nordestgaard, Anne Marie Reimer Jensen, and Anne Langsted
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Adult ,Male ,medicine.medical_specialty ,Denmark ,Endocrinology, Diabetes and Metabolism ,Clinical Biochemistry ,Context (language use) ,030204 cardiovascular system & hematology ,Biochemistry ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Endocrinology ,Risk Factors ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Myocardial infarction ,Risk factor ,Triglycerides ,Aged ,Hypertriglyceridemia ,Triglyceride ,business.industry ,Cholesterol ,Cholesterol, HDL ,Biochemistry (medical) ,Lipid Measurement ,Middle Aged ,Prognosis ,medicine.disease ,Cross-Sectional Studies ,chemistry ,Female ,lipids (amino acids, peptides, and proteins) ,business ,Biomarkers ,Follow-Up Studies ,Lipoprotein - Abstract
Context Increased triglyceride-rich remnants represent a causal risk factor for ischemic cardiovascular disease. Objective We tested the hypothesis that low high-density lipoprotein (HDL) cholesterol can be used to monitor long-term high triglycerides/remnant cholesterol, just as high hemoglobin A1c (HbA1c) can be used to monitor long-term high glucose levels. Design, Setting, Participants, and Interventions We studied cross-sectionally 108 731 individuals, dynamically 1313 individuals with lipid measurement at 10 repeated visits, short-term 305 individuals during a fat load, and long-term 10 479 individuals with 2 lipid measurements 10 years apart. Main Outcome Measures Levels of HDL cholesterol and triglycerides. Results Cross-sectionally, HDL cholesterol was inversely associated with triglycerides (R2 = 0.26) and remnant cholesterol (R2 = 0.26). Dynamically, major changes in triglyceride levels from measurement to measurement were mimicked by corresponding modest changes in HDL cholesterol. In the short-term after a fat load, median triglycerides increased 96% while HDL cholesterol decreased only 1%. Long-term, in individuals with measurements 10 years apart, those who initially had the highest triglycerides and corresponding lowest HDL cholesterol, still had highest triglycerides and lowest HDL cholesterol 10 years later. Prospectively, individuals with increased triglycerides/remnant cholesterol had increased risk of myocardial infarction; however, when the HDL cholesterol monitoring was removed, increased triglycerides/remnant cholesterol were largely no longer associated with increased risk of myocardial infarction. Conclusions Low HDL cholesterol is a stable marker of average high triglycerides/remnant cholesterol. This suggests that low HDL cholesterol can be used to monitor long-term average high triglycerides and remnant cholesterol, analogous to high HbA1c as a long-term monitor of average high glucose levels.
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- 2019
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13. Low and high pancreatic amylase is associated with pancreatic cancer and chronic pancreatitis
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Signe E J, Hansen, Anne, Langsted, Anette, Varbo, Christian M, Madsen, Anne, Tybjærg-Hansen, and Børge G, Nordestgaard
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Adult ,Aged, 80 and over ,Male ,Denmark ,Pancreatic alpha-Amylases ,Middle Aged ,Pancreatic Neoplasms ,Pancreatitis ,Pancreatitis, Chronic ,Amylases ,Humans ,Female ,Biomarkers ,Aged ,Retrospective Studies - Abstract
Incidences of pancreatic cancer and acute and chronic pancreatitis are rising globally, and often no curative treatment is available at the time of diagnosis. We tested the hypothesis that low and high plasma concentrations of pancreatic amylase are associated with increased risk of pancreatic cancer, acute pancreatitis, and chronic pancreatitis in the general population. We included 101,765 individuals (55% women) aged 20-100 years from the Copenhagen General Population Study with baseline measurements of plasma pancreatic amylase. After recruitment in 2004-2015 during a median 9 years of follow-up (range 0-15), we collected information about diagnoses of pancreatic cancer, acute pancreatitis, and chronic pancreatitis from the national Danish Patient Registry, the national Danish Cancer Registry, and the national Danish Causes of Death Registry. The median age was 58 years (interquartile range: 48-67) and the median plasma pancreatic amylase 32 U/L (26-40). During follow-up, 442 individuals were diagnosed with pancreatic cancer, 282 with chronic pancreatitis, and 401 with acute pancreatitis. Compared to individuals with pancreatic amylase levels in the 41st-60th percentiles, those with extreme low (1st-2.5th percentiles) and extreme high (97.5th-100th percentiles) pancreatic amylase had hazard ratios of 2.4 (95% confidence interval; 1.6-3.6) and 2.2 (1.4-3.7) for pancreatic cancer, of 1.8 (1.1-3.3) and 3.2 (1.8-5.6) for chronic pancreatitis, and of 1.1 (0.6-1.8) and 1.5 (0.8-2.7) for acute pancreatitis, respectively. In apparently healthy individuals from the general population, extreme low and extreme high plasma pancreatic amylase were associated with 2-threefold higher risk of both pancreatic cancer and chronic pancreatitis.
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- 2021
14. 81-OR: Once-Weekly Semaglutide 2.4 mg Improved Glucose Metabolism and Prediabetes in Adults with Overweight/Obesity in the STEP 1 Trial
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Signe O.R. Wallenstein, Leigh Perreault, Anette Varbo, Sriram Machineni, J Wilding, Carel Le Roux, Melanie J. Davies, Juan P. Frias, Ildiko Lingvay, and Peter N. Laursen
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medicine.medical_specialty ,Plasma glucose ,business.industry ,Endocrinology, Diabetes and Metabolism ,Semaglutide ,Overweight obesity ,Once weekly ,medicine.disease ,Body weight ,Research centre ,Family medicine ,Lifestyle intervention ,Internal Medicine ,medicine ,Prediabetes ,business - Abstract
Semaglutide 2.4 mg demonstrated 14.9% body weight (BW) loss in adults with overweight/obesity in STEP 1. We evaluated effects on glucose metabolism in subjects with prediabetes at baseline (BL). Subjects (N=1961) were randomized 2:1 to once-weekly subcutaneous semaglutide 2.4 mg or placebo (PBO), plus lifestyle intervention, for 68 wks. Post-hoc analyses included change from BL to wk 68 in glycemic status (normoglycemia, prediabetes, or type 2 diabetes; all investigator assessed), HbA1c, fasting plasma glucose (FPG), and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). Statistical analyses were not adjusted for multiplicity. At BL, 856 (43.7%) subjects had prediabetes (593 semaglutide/263 PBO; mean HbA1c: 5.9/5.9%, FPG: 98.7/97.6 mg/dL, HOMA-IR: 4.2/4.1, BW: 106.9/106.9 kg). By wk 68, 84.1% of those with prediabetes at BL were normoglycemic with semaglutide vs. 47.8% with PBO (p In conclusion, once weekly semaglutide 2.4 mg allowed most adults with overweight/obesity and prediabetes to revert to normoglycemia at wk 68. Disclosure L. Perreault: Advisory Panel; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Novo Nordisk, Consultant; Self; Sanofi, Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk. C. Le roux: Advisory Panel; Self; Boehringer Ingelheim International GmbH, GI Dynamics, Herbalife International of America, Inc., Johnson & Johnson, Medtronic, Novo Nordisk A/S. M. J. Davies: Advisory Panel; Self; Boehringer Ingelheim International GmbH, Boehringer Ingelheim Limited (UK), Eli Lilly and Company, Lexicon Pharmaceuticals, Inc., Novo Nordisk A/S, Sanofi, Other Relationship; Self; AstraZeneca, NIHR Leicester Biomedical Research Centre, Novo Nordisk, Speaker’s Bureau; Self; Astra Zeneca Pharma India Ltd, Boehringer Ingelheim (China), Boehringer Ingelheim (Philippines), Inc., Boehringer Ingelheim International GmbH, Boehringer Ingelheim Limited (UK), Boehringer Ingelheim Saudi Arabia Trading, Boehringer Ingelheim Singapore Pte. Ltd, Boehringer Ingelheim Sp. Z o. o., Eli Lilly and Company, Napp Pharmaceuticals, Novo Nordisk, Novo Nordisk A/S, S. C. Sanofi Romania SRL, Sanofi K. K. J. P. Frias: Consultant; Self; 89bio, Inc., Altimmune, Axcella Health Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Gilead Sciences, Inc., Intercept Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk, Pfizer Inc., Sanofi, Research Support; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb Company, CymaBay Therapeutics, Eli Lilly and Company, Intercept Pharmaceuticals, Inc., Janssen Pharmaceuticals, Inc., Madrigal Pharmaceuticals, Inc., Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk, Pfizer Inc., Sanofi, Speaker’s Bureau; Self; Merck & Co., Inc., Sanofi. P. N. Laursen: Employee; Self; Novo Nordisk A/S. I. Lingvay: Advisory Panel; Self; Bayer Healthcare Pharmaceuticals Inc., Lilly Diabetes, Consultant; Self; TARGET PharmaSolutions, Other Relationship; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Merck Sharp & Dohme Corp., Novo Nordisk, Pfizer Inc., Zealand Pharma A/S, Research Support; Self; Mylan N. V., Sanofi. S. Machineni: Consultant; Self; Novo Nordisk, Rhythm Pharmaceuticals, Inc., Other Relationship; Self; Boehringer Ingelheim International GmbH, Eli Lilly and Company, Novo Nordisk. A. Varbo: Employee; Self; Novo Nordisk A/S. J. Wilding: Consultant; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Mundipharma International, Napp Pharmaceuticals, Novo Nordisk, Rhythm Pharmaceuticals, Inc., Saniona, Sanofi, Research Support; Self; AstraZeneca, Novo Nordisk, Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Napp Pharmaceuticals. S. O. R. Wallenstein: Employee; Self; Novo Nordisk. Funding Novo Nordisk A/S
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- 2021
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15. Triglyceride-rich Lipoprotein Cholesterol (Remnant Cholesterol) as a Therapeutic Target for Cardiovascular Disease Risk
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Anette Varbo and Børge G. Nordestgaard
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medicine.medical_specialty ,Lipoprotein lipase ,business.industry ,medicine.drug_class ,Cholesterol ,Fibrate ,medicine.disease ,chemistry.chemical_compound ,Endocrinology ,chemistry ,Internal medicine ,Diabetes mellitus ,Medicine ,lipids (amino acids, peptides, and proteins) ,Myocardial infarction ,business ,Omega 3 fatty acid ,Lipoprotein ,Foam cell - Abstract
The cholesterol content of triglyceride-rich lipoproteins, in short, remnant cholesterol, is elevated in one in three adults in affluent societies, particularly in the obese and those with diabetes. Triglyceride-rich lipoproteins or remnants can like low-density lipoprotein (LDL) enter and get trapped in the arterial intima. In the intima, these lipoproteins are taken up by macrophages directly without modification. While degradation of triglycerides liberates tissue-toxic free fatty acids and cause local inflammation, cholesterol cannot be degraded and will lead to foam cell formation, intimal accumulation, and atherosclerosis. Intimal inflammation together with atherosclerosis leads to plaque rupture and eventually cardiovascular disease. Observationally, elevated remnant cholesterol is associated with increased risk of atherosclerotic cardiovascular disease, that is, ischemic heart disease and ischemic stroke. Genetic Mendelian randomization studies have confirmed that this relationship is causal. After maximal LDL cholesterol reduction, elevated remnant cholesterol represents substantial residual risk for atherosclerotic cardiovascular disease. Reduction in triglyceride-rich lipoproteins in those with elevated levels leads to reduced atherosclerotic cardiovascular disease, as documented in post hoc analyses of fibrate trials and in the REDUCE-IT trial using 100% EPA. Two further triglyceride-lowering trials in high-risk, statin-treated patients are ongoing, the STRENGTH trial using 75% EPA and 25% DHA and the PROMINENT trial using pemafibrate.
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- 2020
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16. Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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Zahra Mohammadi, Abdul Basit, Helena I. S. Nogueira, Soile E. Puhakka, Hongsheng Bi, Ari Voutilainen, Davood Khalili, Bin Zhou, Dermot O'Reilly, Natascia Rinaldo, Paulo A. Lotufo, Bahareh Kheiri, Thein Thein Htay, Simona Giampaoli, Goodarz Danaei, M. Fernanda Lima-Costa, Simona Bo, Peter Schnohr, Jerzy Chudek, Francesco Panza, Ling Yang, Katia Vergetti Bloch, Vincenzo Capuano, Holly E. Syddall, Dong Zhao, Indah Suci Widyahening, Maria Lorenza Muiesan, Leng Huat Foo, Mohsen Azimi-Nezhad, Merete Osler, Laura Torres-Collado, Manu Raj, Adroaldo Cesar Araujo Gaya, Susi Kriemler, Ali Akbar Shayesteh, Aneta Grajda, Anette Varbo, Kazem Mohammad, Leila Beltrami Moreira, Shu Ti Chiou, Iuliia A Rusakova, Jyh Eiin Wong, Torben Jørgensen, Lela Sturua, Lubica Ticha, Hamid Hakimi, Hazzaa M. Al-Hazzaa, Yanina Zócalo, Freda Pitakaka, Savvas C. Savva, Rajeev Gupta, Jennifer Servais, Marie Kunešová, Johanna M. Geleijnse, Elysée Claude Bika Lele, Yannis Manios, Jorge Escobedo-de la Peña, Yufang Bi, Chinh Nguyen Huu, Sibel Gogen, Viviane Cunha Cardoso, Kristine H. Allin, Ana Azevedo, Line Tang Møllehave, Vincent Jr DeGennaro, Novie O. Younger-Coleman, Gretchen A Stevens, Dickman Gareta, Holger Theobald, Anja Schienkiewitz, Bekbolat Zholdin, Janice Luisa Lukrafka, Adela Chirita-Emandi, Ulla Roggenbuck, Kenisha Russell Jonsson, Robespierre Ribeiro, Gabriele Eiben, Eero Kajantie, Sounnia Mediene Benchekor, Fariborz Mansour-Ghanaei, Mary Simon, Prakash C. Gupta, Mohammad Esmaeel Motlagh, Emanuela Gualdi-Russo, María Elena Díaz-Sánchez, Pilar Guallar-Castillón, Bee Koon Poh, Cristina Padez, Azaliia M Tuliakova, Sarah P. Garnett, William R. Tebar, Yingfeng Zheng, Suhad Bahijri, Christina Mavrogianni, Mihaela Vladulescu, Jan A. Staessen, Paula Duarte de Oliveira, Rui Ornelas, Michael Sjöström, Charles Agyemang, Slawomir Koziel, Shohreh Naderimagham, Jari Jokelainen, Stephen T. 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Capanzana, Con Burns, Emanuela Pettenuzzo, Ming-Dong Wang, Jonathan Giovannelli, Stela McLachlan, Ellis Owusu-Dabo, Stefania Toselli, Maria Teresa Anselmo Olinto, Senthil K Vasan, Sara Schramm, Xenophon Theodoridis, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Guillermo Frontera, Rahul Malhotra, Thomas Ferrao, Dongfeng Gu, Tomas Vega, Hynek Pikhart, Päivi Mäki, Heba Fouad, Vilnis Dzerve, Christina Howitt, Seyed Mohammad Hashemi-Shahri, Jenny M. Kindblom, Marjolijn C. E. Bragt, G. K. Mini, Qian Wang, Liufu Cui, Andrzej Galbarczyk, Sylvain Sebert, Vilmundur Gudnason, Loreto Santa Marina, Kairat Davletov, Afshin Ostovar, Niloofar Peykari, Nicholas J. Wareham, Wilma M. Hopman, Karl-Heinz Jöckel, Jussi Kauhanen, Breige A. McNulty, Alina Kerimkulova, Youcef Laid, Claes Ohlsson, Stefan Kiechl, Alicia Matijasevich, Boban Mugoša, Srinivasan Kannan, Jyrki K. Virtanen, Mohan Deepa, Mangesh S. Pednekar, Shahla AlDhukair, Cynthia M. Pérez, Vera Lanska, Tint Swe Latt, Dominique Hange, João Luiz Bastos, Eliza Markidou Ioannidou, Leticia Hernandez Cadena, Maya Tanrygulyyeva, Reza Malekzadeh, Dimitrios Poulimeneas, Pedro Ordunez, Thomas Waldhör, Ioannis Pagkalos, Carlo M. Barbagallo, Abla M. Sibai, Peter Vollenweider, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Santosh K. Bhargava, Patrick Kolsteren, Aya Mostafa, Fangfang Chen, Flavio Nervi, Imre Janszky, Arvind Pandey, Renata Cifkova, Alexandre C. Pereira, Alejandro Diaz, Alireza Ansari-Moghaddam, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Rusidah Selamat, Dianna J. Magliano, Jitendra Jonnagaddala, Konstantinos Gkiouras, Paul Korrovits, Paola Nardone, Paolo Vineis, Kotsedi D Monyeki, Khuong Quynh Long, Alberto Barceló, Camilla T. Damsgaard, Constance Schultsz, Frank J Rühli, Santiago F. Gomez, Tara Coppinger, Muhammad Islam, Pierre Traissac, Eleonora d'Orsi, Irfan Nuhoglu, Rui Providência, Bernard Maire, Leandra Abarca-Gómez, Sinead Brophy, Daniela Pierannunzio, Cristina Taddei, Wen-Harn Pan, Gregor Starc, Abdullah Alkandari, Saeed Dastgiri, Lien Braeckevelt, Gustavo Velasquez-Melendez, Sudhir Kowlessur, Bagher Larijani, Cynthia Robitaille, Mohamed M. Ali, Steiner Krokstad, Noor Ani Ahmad, Anar Dushpanova, Agustinus Soemantri, Susana Sans, Ionela Pascanu, Gwenaëlle Le Coroller, Inger Ariansen, Abhijit Sen, Sergej M. Ostojic, Silvana Donoso, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Hanan F. Abdul Rahim, Yadlapalli S. Kusuma, Michael Knoflach, Moein Yoosefi, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Tomi-Pekka Tuomainen, Francesco Gianfagna, Stefania Maggi, Mohammad Hossein Somi, Behrooz Hamzeh, Bethlehem D. Solomon, Herman Borghs, Zhanna Kalmatayeva, Heidi Klakk, Akram Pourshams, Naomi S. Levitt, Miquel Porta, Vesna Jureša, Alexander D. Deev, Son Thai Pham, Paula Margozzini, Silvia Bel-Serrat, Dora Romaguera, Monira Alarouj, Winsome R. Parnell, Marloes Cardol, David Faeh, Antonio Bernabe-Ortiz, Giota Touloumi, Maryam Kavousi, Sanja Musić Milanović, Jalila El Ati, Sauli Herrala, Liang Xu, Sirkka Keinänen-Kiukaanniemi, Ian Hambleton, Stefan Savin, Andre Pascal Kengne, R. Krishna Kumar, Kurt Widhalm, Marco M Ferrario, Parisa Amiri, Yi Song, Jianfeng Wu, Jeannette Klimont, Jean Ferrières, Farhad Zamani, Shina Avi, Luis Paulo Gomes Mascarenhas, Aluísio J D Barros, Reecha Sofat, Koen Van Herck, Hoang Van Minh, Enrique Gutiérrez-González, Martine Vrijheid, Susana Cararo Confortin, Antonis Zampelas, Bogdan Wojtyniak, Ausra Petrauskiene, Juha Auvinen, Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Young-Ho Khang, Ellina Rakhimova, Magdalena Klimek, Luís Lopes, Erkin M. Mirrakhimov, Maria Lc Iurilli, Günay Can, Mark Woodward, Esther Lopez-Garcia, Mauro Virgílio Gomes de Barros, Ahmed A. Madar, Rainford J. Wilks, Shoaib Afzal, Melanie J. Cowan, Gareth Stratton, Eduardo Salazar Martinez, Sameer Narake, Norie Sawada, Li Juan Wu, Adrian Richter, Licia Iacoviello, Hanno Ulmer, Deepak Amarapurkar, Mohsen Ibrahim, Hamed Pouraram, Massimo Salvetti, Hung-Kwan So, Yonghua Hu, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Sabina Zambon, Angelika Schaffrath Rosario, Lauren Lissner, Kamarul Imran Musa, Deepa Weerasekera, Bihungum Bista, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Irene G. M. van Valkengoed, Anna Fijałkowska, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Nasheeta Peer, Radka Taxová Braunerová, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Eliza Cinteza, Ha Tp Do, and Alison J. Hayes
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education.field_of_study ,business.industry ,Population ,Distribution (economics) ,medicine.disease ,Obesity ,Geography ,medicine ,Underweight ,medicine.symptom ,education ,business ,Body mass index ,Demography - Published
- 2020
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17. Novel Insights From Human Studies on the Role of High-Density Lipoprotein in Mortality and Noncardiovascular Disease
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Anette Varbo, Christian M. Madsen, and Børge G. Nordestgaard
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0301 basic medicine ,Type 2 diabetes ,Disease ,030204 cardiovascular system & hematology ,Bioinformatics ,Risk Assessment ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,High-density lipoprotein ,Risk Factors ,Cause of Death ,medicine ,Humans ,Noncommunicable Diseases ,Autoimmune disease ,Cholesterol ,business.industry ,Cholesterol, HDL ,nutritional and metabolic diseases ,medicine.disease ,Up-Regulation ,030104 developmental biology ,chemistry ,Infectious disease (medical specialty) ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers ,Lipoprotein ,Kidney disease - Abstract
The vast majority of research about HDL (high-density lipoprotein) has for decades revolved around the possible role of HDL in atherosclerosis and its therapeutic potential within cardiovascular disease prevention; however, failures with therapies aimed at increasing HDL cholesterol has left questions as to what the role and function of HDL in human health and disease is. Recent observational studies have further shown that extreme high HDL cholesterol is associated with high mortality leading to speculations that HDL could in some instances be harmful. In addition, evidence from observational, and to a lesser extent genetic, studies has emerged indicating that HDL might be associated with the development of other major noncardiovascular diseases, such as infectious disease, autoimmune disease, cancer, type 2 diabetes, kidney disease, and lung disease. In this review, we discuss (1) the association between extreme high HDL cholesterol and mortality and (2) the emerging human evidence linking HDL to several major diseases outside the realm of cardiovascular disease.
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- 2020
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18. Directly measured vs. calculated remnant cholesterol identifies additional overlooked individuals in the general population at higher risk of myocardial infarction
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Anette Varbo and Børge G. Nordestgaard
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medicine.medical_specialty ,Very low-density lipoprotein ,Percentile ,Population ,Myocardial Infarction ,030204 cardiovascular system & hematology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Myocardial infarction ,education ,education.field_of_study ,Cholesterol ,business.industry ,Hazard ratio ,medicine.disease ,Confidence interval ,chemistry ,Cardiology ,Population study ,Cardiology and Cardiovascular Medicine ,business - Abstract
Aims We tested the hypothesis that high directly measured remnant cholesterol is associated with increased risk of ischaemic heart disease (IHD) and myocardial infarction (MI) in the general population. We also explored whether directly measured vs. calculated remnant cholesterol is superior in identifying individuals at increased risk. Methods and results Overall, 16 207 individuals from the Copenhagen General Population Study with both directly measured and calculated remnant cholesterol, both representing cholesterol content in triglyceride-rich lipoproteins, were followed up for 14 years to analyse the risk for IHD and MI. For directly measured and calculated remnant cholesterol, hazard ratios for individuals with concentrations ≥95th percentile vs. Conclusions Directly measured vs. calculated remnant cholesterol identifies 5% overlooked individuals in the general population with cholesterol-rich, triglyceride-poor remnants and 1.8-fold increased risk of MI.
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- 2020
19. How To Identify Familial Premature Myocardial Infarction: Comparing Approaches To Identify Familial Hypercholesterolemia
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Sabina Beheshti, Børge G. Nordestgaard, Anette Varbo, and Christian M. Madsen
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Male ,Denmark ,Endocrinology, Diabetes and Metabolism ,DNA Mutational Analysis ,Clinical Biochemistry ,Myocardial Infarction ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,Biochemistry ,chemistry.chemical_compound ,0302 clinical medicine ,Endocrinology ,Risk groups ,Pregnancy ,Risk Factors ,Prevalence ,Mass Screening ,Prospective Studies ,030212 general & internal medicine ,Myocardial infarction ,Medical History Taking ,education.field_of_study ,Age Factors ,Middle Aged ,Apolipoprotein B-100 ,Practice Guidelines as Topic ,Population study ,Female ,Cardiology and Cardiovascular Medicine ,medicine.medical_specialty ,Population ,Context (language use) ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,Sex Factors ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Genetic Testing ,education ,Aged ,business.industry ,Cholesterol ,Biochemistry (medical) ,Cholesterol, LDL ,medicine.disease ,Early Diagnosis ,Receptors, LDL ,chemistry ,Mutation ,business ,Lipoprotein - Abstract
CONTEXT How best to identify families with premature myocardial infarction is unclear. OBJECTIVE We compared approaches to identify familial premature myocardial infarction in the general population using different familial hypercholesterolemia (FH) criteria and low-density lipoprotein (LDL) cholesterol cut-points. DESIGN AND SETTING Clinical and mutation criteria for FH and LDL cholesterol cut-points were applied for identification of familial premature myocardial infarction in 106,732 individuals from the Copenhagen General Population Study. RESULTS FH criteria identified 898 (13%) cases with familial premature myocardial infarction, leaving 5856 (87%) cases undetected. The ORs for familial premature myocardial infarction, compared with the respective remainder groups, were 4.7 (95% CI, 3.7 to 6.0) for clinical FH by Dutch Lipid Clinic Network criteria, 4.4 (4.0 to 4.7) for Simon Broome criteria, 2.1 (95% CI, 1.7 to 3.6) for Make Early Diagnosis to Prevent Early Death criteria, 2.1 (95% CI, 1.4 to 3.3) for FH mutation, and 1.4 (95% CI, 1.3 to1.6) for LDL cholesterol ≥5 mmol/L (193 mg/dL). For these risk groups, the sensitivity (true positive rate) for identification of familial premature myocardial infarction were 1.3%, 13%, 1.6%, 0.9%, and 7.1%, respectively. Compared with universal screening of a similar fraction of the population, the relative increase in sensitivity for these risk groups was 3.8-fold [fraction of population examined: 0.3%, 3.3-fold (4%), 2.0-fold (0.8%), 2.0-fold (0.4%), and 1.4-fold (5.3%), respectively]. CONCLUSION Criteria for FH identify a small fraction of individuals with familial premature myocardial infarction in the general population. Actively identifying families with premature myocardial infarction would be of potential preventive importance, and this study provides data that could be used to choose the best method for such family identification.
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- 2019
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20. Low-Grade Inflammation in the Association between Mild-to-Moderate Hypertriglyceridemia and Risk of Acute Pancreatitis: A Study of More Than 115000 Individuals from the General Population
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Anette Varbo, Børge G. Nordestgaard, Christian M. Madsen, and Signe E J Hansen
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Male ,medicine.medical_specialty ,Clinical Biochemistry ,Population ,Inflammation ,030204 cardiovascular system & hematology ,Severity of Illness Index ,Gastroenterology ,Leukocyte Count ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Severity of illness ,Humans ,Medicine ,030212 general & internal medicine ,education ,Triglycerides ,Aged ,Proportional Hazards Models ,Hypertriglyceridemia ,education.field_of_study ,Triglyceride ,business.industry ,Biochemistry (medical) ,Hazard ratio ,Middle Aged ,medicine.disease ,C-Reactive Protein ,Pancreatitis ,chemistry ,Acute Disease ,Acute pancreatitis ,Population study ,Female ,medicine.symptom ,business - Abstract
BACKGROUND How mild-to-moderate hypertriglyceridemia (2–10 mmol/L; 177–886 mg/dL) potentially causes acute pancreatitis is unknown; however, cellular studies indicate that inflammation might be a driver of disease progression. We tested the hypotheses that (a) mild-to-moderate hypertriglyceridemia is associated with low-grade inflammation and that (b) the association between mild-to-moderate hypertriglyceridemia and risk of acute pancreatitis depends on low-grade inflammation. METHODS From the Copenhagen General Population Study and the Copenhagen City Heart Study, 117865 men and women 20–100+ years of age with measurements of nonfasting plasma triglycerides at baseline were followed prospectively for development of acute pancreatitis. RESULTS After multivariable adjustment, a 1 mmol/L (89 mg/dL) higher nonfasting triglyceride concentration was associated with 17% (95% CI, 16%–18%, P = 3 × 10−17) higher plasma C-reactive protein (CRP) and a 4.2% (4.0%–4.4%, P = 6 × 10−17) higher blood leukocyte count. Higher concentrations of nonfasting triglycerides were associated almost linearly with higher risk of acute pancreatitis (P for trend = 5 × 10−6), with hazard ratios of 1.5 (95% CI, 0.9–2.5), 2.0 (95% CI, 1.1–3.6), 2.2 (95% CI, 1.0–4.7), 4.2 (95% CI, 1.6–11.5), and 7.7 (95% CI, 3.0–19.8) in individuals with nonfasting triglycerides of 1.00–1.99 mmol/L (89–176 mg/dL; 46% of the population), 2.00–2.99 mmol/L (177–265 mg/dL; 17%), 3.00–3.99 mmol/L (266–353 mg/dL; 6%), 4.00–4.99 mmol/L (354–442 mg/dL; 2%), and ≥5mmol/L(443 mg/dL; 2%), respectively, vs individuals with CONCLUSIONS Mild-to-moderate hypertriglyceridemia is associated with low-grade inflammation and higher risk of acute pancreatitis. The association between mild-to-moderate hypertriglyceridemia and risk of acute pancreatitis is possibly partly mediated by low-grade inflammation.
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- 2019
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21. Reply to: 'Methodological issues regarding: 'A third of nonfasting plasma cholesterol is in remnant lipoproteins: Lipoprotein subclass profiling in 9293 individuals''
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George Davey Smith, Shoaib Afzal, Mie Balling, Børge G. Nordestgaard, Anne Langsted, and Anette Varbo
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medicine.medical_specialty ,Cholesterol ,business.industry ,Lipoproteins ,Subclass ,chemistry.chemical_compound ,Endocrinology ,chemistry ,Plasma cholesterol ,Internal medicine ,medicine ,Humans ,Cardiology and Cardiovascular Medicine ,business ,Lipoprotein - Published
- 2020
22. Lactase persistence, milk intake, hip fracture and bone mineral density: a study of 97 811 Danish individuals and a meta-analysis
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Anette Varbo, Børge G. Nordestgaard, Christina Ellervik, H. K. M. Bergholdt, and M. K. Larsen
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Adult ,Male ,musculoskeletal diseases ,medicine.medical_specialty ,Genotype ,Denmark ,030209 endocrinology & metabolism ,Cohort Studies ,Young Adult ,03 medical and health sciences ,Lactose Intolerance ,0302 clinical medicine ,Bone Density ,Risk Factors ,Internal medicine ,Odds Ratio ,Internal Medicine ,medicine ,Animals ,Humans ,Lactase-Phlorizin Hydrolase ,Prospective Studies ,030212 general & internal medicine ,Correlation of Data ,Prospective cohort study ,Alleles ,Aged ,Lactase ,Proportional Hazards Models ,Femoral neck ,Bone mineral ,Hip fracture ,Lumbar Vertebrae ,Hip Fractures ,business.industry ,Hazard ratio ,Odds ratio ,Middle Aged ,medicine.disease ,Lactase persistence ,Milk ,medicine.anatomical_structure ,Meta-analysis ,Spinal Fractures ,Female ,business - Abstract
Background Whether a causal relationship exists between milk intake and reduced risk of fractures is unclear. Objectives We tested the hypothesis that genetically determined milk intake reduces the risk of fractures and increases bone mineral density (BMD). Methods We investigated the association between milk intake, LCT-13910 C/T (rs4988235), which is associated with lactase persistence (TT/TC) in Northern Europeans, and hip fractures in three Danish prospective studies (N = 97 811, age ≥20 years). We added meta-analyses of LCT-13910 and fractures and BMD from five published Northern European population studies. Results In the Danish studies, the adjusted hazard ratio (HR) for hip fracture per one glass per week higher milk intake was 1.00 (95% CI: 0.99-1.01). The per T-allele milk intake was 0.58 (0.49-0.68) glasses per week, but HR was 1.01 (0.94-1.09) for hip fracture. In meta-analyses of Danish studies with published Northern European population studies, the random effects odds ratio for any fracture was 0.86 (0.61-1.21; I2 = 73%) for TT vs. CC and 0.90 (0.68-1.21; I2 = 63%) for TC vs. CC. The standardized mean difference in femoral neck BMD was 0.10 (0.02-0.18; I2 = 0%) g cm-2 for TT vs. CC and 0.06 (-0.04 to 0.17; I2 = 17%) g cm-2 for TC vs. CC. There were no differences in lumbar spine or total hip BMD comparing TT or TC with CC. Conclusion Genetically lifelong lactase persistence with high milk intake was not associated with hip fracture in Danish population-based cohorts. A meta-analysis combining Danish studies with published Northern European population studies also showed that lactase persistence was not associated with fracture risk. Genetic lactase persistence was associated with a higher femoral neck BMD, but not lumbar spine or total hip BMD.
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- 2018
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23. Nonfasting Triglycerides, Low-Density Lipoprotein Cholesterol, and Heart Failure Risk
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Anette Varbo and Børge G. Nordestgaard
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Male ,medicine.medical_specialty ,Time Factors ,Denmark ,Population ,Low density lipoprotein cholesterol ,Disease ,030204 cardiovascular system & hematology ,Risk Assessment ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,education ,Triglycerides ,Aged ,Dyslipidemias ,Heart Failure ,education.field_of_study ,business.industry ,Cholesterol ,Incidence ,Cholesterol, LDL ,Middle Aged ,Prognosis ,medicine.disease ,Up-Regulation ,Endocrinology ,chemistry ,Heart failure ,Female ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers ,Cohort study ,Lipoprotein - Abstract
Objective— The prevalence of heart failure is increasing in the aging population, and heart failure is a disease with large morbidity and mortality. There is, therefore, a need for identifying modifiable risk factors for prevention. We tested the hypothesis that high concentrations of nonfasting triglycerides and low-density lipoprotein cholesterol are associated with higher risk of heart failure in the general population. Approach and Results— We included 103 860 individuals from the Copenhagen General Population Study and 9694 from the Copenhagen City Heart Study in 2 prospective observational association studies. Nonfasting triglycerides and low-density lipoprotein cholesterol were measured at baseline. Individuals were followed for ≤23 years, during which time 3593 were diagnosed with heart failure. Hazard ratios were estimated using Cox proportional hazard regression models. In the Copenhagen General Population Study, stepwise higher concentrations of nonfasting triglycerides were associated with stepwise higher risk of heart failure ( P for trend Conclusions— Stepwise higher concentrations of nonfasting triglycerides were associated with stepwise higher risk of heart failure; however, concentrations of low-density lipoprotein cholesterol were not associated with risk of heart failure in the general population.
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- 2018
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24. Chylomicronemia risk factors ranked by importance for the individual and community in 108 711 women and men
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Simon Boel Pedersen, Anette Varbo, Anne Langsted, and Børge G. Nordestgaard
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Adult ,Male ,medicine.medical_specialty ,Denmark ,Population ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Prevalence ,Internal Medicine ,medicine ,Humans ,Obesity ,030212 general & internal medicine ,Sex Distribution ,education ,Aged ,Sedentary lifestyle ,Aged, 80 and over ,education.field_of_study ,business.industry ,Hypertriglyceridemia ,Middle Aged ,medicine.disease ,Endocrinology ,Diabetes Mellitus, Type 2 ,Relative risk ,Population study ,Female ,Hyperlipoproteinemia Type I ,business - Abstract
Background Hypertriglyceridemia prevalence is increasing as more individuals become obese, and chylomicronemia risk factors for the individual and community have not been described previously. Objective To describe chylomicronemia risk factors in the general population for individuals and community. Methods 108,711 individuals from the Copenhagen General Population Study were grouped as unlikely chylomicronemia (nonfasting triglycerides
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- 2017
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25. Filaggrin loss‐of‐function mutations as risk factors for ischemic stroke in the general population
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Anette Varbo, Børge G. Nordestgaard, and Marianne Benn
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Adult ,Male ,medicine.medical_specialty ,Genotype ,Denmark ,Population ,Eczema ,Filaggrin Proteins ,Brain Ischemia ,Dermatitis, Atopic ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Intermediate Filament Proteins ,Risk Factors ,Internal medicine ,Odds Ratio ,Animals ,Humans ,Medicine ,Genetic Predisposition to Disease ,Prospective Studies ,030212 general & internal medicine ,Risk factor ,education ,Stroke ,Aged ,Proportional Hazards Models ,education.field_of_study ,business.industry ,Hazard ratio ,Hematology ,Atopic dermatitis ,Odds ratio ,Middle Aged ,medicine.disease ,Surgery ,Carotid Arteries ,Mutation ,Population study ,Female ,business ,Filaggrin - Abstract
Essentials FLG mutations cause atopic dermatitis, previously found to be associated with ischemic stroke. Association between FLG mutations and ischemic stroke was examined in 97 174 Danish individuals. FLG mutations were associated with increased ischemic stroke risk in the general population. The association was most pronounced in younger individuals, and in current and former smokers. SUMMARY Background Heritability studies have shown a considerable genetic component to ischemic stroke risk; however, much is unknown as to which genes are responsible. Also, previous studies have found an association between atopic dermatitis and increased ischemic stroke risk. Objective To test the hypothesis that FLG loss-of-function mutations, known to be associated with atopic dermatitis, were also associated with ischemic stroke. Methods A total of 97 174 individuals, with 3597 cases of ischemic stroke, from the Copenhagen General Population Study, the Copenhagen City Heart Study and the Copenhagen Carotid Stroke Study were genotyped for the two most common filaggrin mutations, FLG R501X and FLG 2282del4. Results FLG mutation carriers had an odds ratio for ischemic stroke of 1.15 (95% confidence interval [CI], 1.02-1.30) compared with non-carriers. Risk of ischemic stroke for FLG mutation carriers was higher among individuals aged < 50 years, with an odds ratio of 1.72 (1.11-2.67), compared with non-carriers. When stratified for smoking, ischemic stroke risk was primarily seen in current and former smokers, with an odds ratio of 1.25 (1.08-1.44). FLG mutations were not associated with conventional cardiovascular risk factors except for slightly more pack-years smoked among mutation carriers, but were associated with increased risk of self-reported eczema, with an odds ratio of 1.42 (1.32-1.52). Finally, self-reported eczema was associated with increased ischemic stroke risk, with an age and sex adjusted hazard ratio of 1.24 (1.01-1.52); however, the association was not statistically significant after multifactorial adjustment. Conclusion In this study of 97 174 individuals from the Danish general population, FLG loss-of-function mutations were associated with increased ischemic stroke risk; however, residual confounding is a possibility.
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- 2017
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26. Worldwide prevalence of familial hypercholesterolemia: Meta-analyses of 11 million subjects
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Sabina Beheshti, Børge G. Nordestgaard, Christian M. Madsen, and Anette Varbo
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education.field_of_study ,medicine.medical_specialty ,business.industry ,Internal medicine ,Population ,Medicine ,Disease ,Familial hypercholesterolemia ,Cardiology and Cardiovascular Medicine ,business ,Ischemic heart ,education ,medicine.disease - Abstract
Background Despite the greater prevalence of familial hypercholesterolemia (FH) in subjects with ischemic heart disease (IHD), premature IHD, and severe hypercholesterolemia (low-density lipoprotein ≥190 mg/dl), overall prevalence estimates are not available. Objectives The aim of this study was to provide worldwide estimates of FH prevalence in subjects with IHD, premature IHD, and severe hypercholesterolemia compared with those in the general population. Methods In this systematic review and meta-analyses, Embase, PubMed, and the Web of Science were searched until June 3, 2019, for peer-reviewed papers and conference abstracts reporting heterozygous FH prevalence in nonfounder populations, revealing 104 studies eligible for inclusion. Results Estimates of FH prevalence were pooled using random-effects meta-analyses and were 0.32% (95% confidence interval [CI]: 0.26% to 0.39% [corresponding to 1:313]) among 10,921,310 unique subjects in the general population (33,036 patients with FH) on the basis of 44 studies, 3.2% (95% CI: 2.2% to 4.3% [1:31]) among 84,479 unique subjects with IHD (2,103 patients with FH) on the basis of 28 studies, 6.7% (95% CI: 4.9% to 8.7% [1:15]) among 31,316 unique subjects with premature IHD (1,471 patients with FH) on the basis of 32 studies, and 7.2% (95% CI: 4.6% to 10.8% [1:14]) among 17,728 unique subjects with severe hypercholesterolemia (920 patients with FH) on the basis of 7 studies. FH prevalence in the general population was similar using genetic versus clinical diagnoses. Seventeen of 195 countries (9%) in the world have reported FH prevalence for the general population, leaving 178 (91%) countries in the world with unknown prevalence. Conclusions Compared with 1:313 among subjects in the general population, FH prevalence is 10-fold higher among those with IHD, 20-fold higher among those with premature IHD, and 23-fold higher among those with severe hypercholesterolemia. The prevalence of FH is unknown in 90% of countries in the world.
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- 2020
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27. VLDL Cholesterol Accounts for One-Half of the Risk of Myocardial Infarction Associated With apoB-Containing Lipoproteins
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Mie Balling, Børge G. Nordestgaard, Anne Langsted, Shoaib Afzal, Anette Varbo, and George Davey Smith
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Male ,Risk ,Very low-density lipoprotein ,medicine.medical_specialty ,Apolipoprotein B ,Denmark ,Cholesterol, VLDL ,Myocardial Infarction ,030204 cardiovascular system & hematology ,Lipoproteins, VLDL ,digestive system ,general population ,Cohort Studies ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,cardiovascular disease ,Internal medicine ,Medicine ,Humans ,030212 general & internal medicine ,Myocardial infarction ,triglycerides ,Triglycerides ,Aged ,Apolipoproteins B ,Intermediate-density lipoprotein ,biology ,business.industry ,Cholesterol ,lipoprotein ,nutritional and metabolic diseases ,Middle Aged ,medicine.disease ,ischemic heart disease ,remnant cholesterol ,Blood pressure ,Endocrinology ,chemistry ,biology.protein ,Population study ,Female ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business ,Lipoprotein - Abstract
Background Plasma apolipoprotein B (apoB) is a composite measure of all apoB-containing lipoproteins causing atherosclerotic cardiovascular disease; however, it is unclear which fraction of risk is explained by cholesterol and triglycerides, respectively, in very low-density lipoproteins (VLDLs). Objectives The authors tested the hypothesis that VLDL cholesterol and triglycerides each explain part of the myocardial infarction risk from apoB-containing lipoproteins. Methods Nested within 109,751 individuals from the Copenhagen General Population Study, the authors examined 25,480 subjects free of lipid-lowering therapy and myocardial infarction at study entry. All had measurements of plasma apoB (quantitating number of apoB-containing lipoproteins) and cholesterol and triglyceride content of VLDL, intermediate-density lipoproteins (IDLs), and low-density lipoproteins (LDLs). Results During a median 11 years of follow-up, 1,816 were diagnosed with myocardial infarction. Per 1-mmol/l higher levels, multivariable-adjusted hazard ratios for myocardial infarction were 2.07 (95% confidence interval [CI]: 1.81 to 2.36) for VLDL cholesterol, 1.19 (95% CI: 1.14 to 1.25) for VLDL triglycerides, 5.38 (95% CI: 3.73 to 7.75) for IDL cholesterol, and 1.86 (95% CI: 1.62 to 2.14) for LDL cholesterol. Per 1-g/l higher plasma apoB, the corresponding value was 2.21 (95% CI: 1.90 to 2.58). In a step-up Cox regression, risk factors for myocardial infarction entered by importance as VLDL cholesterol, systolic blood pressure, smoking, and IDL + LDL cholesterol, whereas VLDL triglycerides did not enter the model. VLDL cholesterol explained 50% and IDL + LDL cholesterol 29% of the risk of myocardial infarction from apoB-containing lipoproteins, whereas VLDL triglycerides did not explain risk. Conclusions VLDL cholesterol explained one-half of the myocardial infarction risk from elevated apoB-containing lipoproteins, whereas VLDL triglycerides did not explain risk.
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- 2020
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28. Small Dense Low-Density Lipoprotein Cholesterol Predicts Atherosclerotic Cardiovascular Disease in the Copenhagen General Population Study
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Børge G. Nordestgaard, Shoaib Afzal, Mie Balling, Pia R. Kamstrup, Anne Langsted, and Anette Varbo
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medicine.medical_specialty ,Denmark ,Low density lipoprotein cholesterol ,030204 cardiovascular system & hematology ,Food and drug administration ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Atherosclerotic cardiovascular disease ,business.industry ,Cholesterol ,Follow up studies ,Cholesterol, LDL ,Atherosclerosis ,Endocrinology ,chemistry ,Cardiovascular Diseases ,Population Surveillance ,Population study ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers ,Lipoprotein ,Follow-Up Studies - Abstract
Several studies suggest that small dense low-density lipoprotein (sdLDL) may have a higher atherogenic potential compared with larger buoyant low-density lipoprotein (LDL) particles ([1–4][1]). The U.S. Food and Drug Administration (FDA) has recently approved an assay by Denka Seiken measuring
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- 2019
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29. Worldwide Prevalence of Familial Hypercholesterolemia: Meta-Analyses of 11 Million Subjects
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Sabina O, Beheshti, Christian M, Madsen, Anette, Varbo, and Børge G, Nordestgaard
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Hyperlipoproteinemia Type II ,Lipoproteins, LDL ,Heterozygote ,Homozygote ,Ethnicity ,Myocardial Ischemia ,Prevalence ,Humans ,Global Health - Abstract
Despite the greater prevalence of familial hypercholesterolemia (FH) in subjects with ischemic heart disease (IHD), premature IHD, and severe hypercholesterolemia (low-density lipoprotein ≥190 mg/dl), overall prevalence estimates are not available.The aim of this study was to provide worldwide estimates of FH prevalence in subjects with IHD, premature IHD, and severe hypercholesterolemia compared with those in the general population.In this systematic review and meta-analyses, Embase, PubMed, and the Web of Science were searched until June 3, 2019, for peer-reviewed papers and conference abstracts reporting heterozygous FH prevalence in nonfounder populations, revealing 104 studies eligible for inclusion.Estimates of FH prevalence were pooled using random-effects meta-analyses and were 0.32% (95% confidence interval [CI]: 0.26% to 0.39% [corresponding to 1:313]) among 10,921,310 unique subjects in the general population (33,036 patients with FH) on the basis of 44 studies, 3.2% (95% CI: 2.2% to 4.3% [1:31]) among 84,479 unique subjects with IHD (2,103 patients with FH) on the basis of 28 studies, 6.7% (95% CI: 4.9% to 8.7% [1:15]) among 31,316 unique subjects with premature IHD (1,471 patients with FH) on the basis of 32 studies, and 7.2% (95% CI: 4.6% to 10.8% [1:14]) among 17,728 unique subjects with severe hypercholesterolemia (920 patients with FH) on the basis of 7 studies. FH prevalence in the general population was similar using genetic versus clinical diagnoses. Seventeen of 195 countries (9%) in the world have reported FH prevalence for the general population, leaving 178 (91%) countries in the world with unknown prevalence.Compared with 1:313 among subjects in the general population, FH prevalence is 10-fold higher among those with IHD, 20-fold higher among those with premature IHD, and 23-fold higher among those with severe hypercholesterolemia. The prevalence of FH is unknown in 90% of countries in the world.
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- 2019
30. 5131Unmet need for secondary prevention in individuals from the general population with increased lipoprotein(a): a contemporary population-based study
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Pia R. Kamstrup, Christian M. Madsen, B.G. Nordestgaard, Anette Varbo, and Anne Langsted
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Secondary prevention ,Population based study ,education.field_of_study ,business.industry ,Environmental health ,Population ,Medicine ,Cardiology and Cardiovascular Medicine ,education ,Increased lipoprotein ,business - Abstract
Background There is strong evidence linking high lipoprotein(a) (Lp(a)) to development of incident cardiovascular disease (CVD), but it is not clear whether Lp(a) is associated with risk of recurrent CVD events in individuals from the general population with preexisting CVD. This is of importance as the first drugs specifically aimed at lowering Lp(a) are currently in development, and these would likely be used primarily in individuals with established CVD for secondary prevention of recurrent CVD events. Purpose We tested the hypothesis that high concentrations of Lp(a) are associated with high risk of recurrent CVD in individuals from the general population with preexisting CVD. Methods From the Copenhagen General Population Study (CGPS) (2003–2015) of 58,527 individuals with measurements of Lp(a) at baseline, 2,527 aged 20–79 with a history of CVD were studied. The primary endpoint was major adverse cardiovascular event (MACE). We also studied 1,115 individuals with CVD at baseline from the Copenhagen City Heart Study (CCHS) (1991–1994) and the Copenhagen Ischemic Heart Disease Study (CIHDS) (1991–1993). Results During a median follow-up of 5 years (range: 0–13, 13,974 person-years), 493 individuals (20%) experienced a MACE in the CGPS. MACE incidence rates per 1,000 person-years were 29 (95% CI: 25–34) for individuals with Lp(a) Conclusion High concentrations of Lp(a) are associated with high risk of recurrent CVD in individuals from the general population with preexisting CVD. This points to a possible unmet need for secondary prevention in individuals with increased Lp(a), and such individuals could be a target group for upcoming randomized cardiovascular outcome trials. Acknowledgement/Funding The Novo Nordisk Foundation, Herlev and Gentofte Hospital, Chief Physician Johan Boserup and Lise Boserup's Fund
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- 2019
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31. Body Mass Index, Triglycerides, and Risk of Acute Pancreatitis: A Population-Based Study of 118 000 Individuals
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Christian M. Madsen, Anette Varbo, Børge G. Nordestgaard, and Signe E J Hansen
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Adult ,Male ,medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Denmark ,Clinical Biochemistry ,Population ,Biochemistry ,Body Mass Index ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Endocrinology ,Risk Factors ,Internal medicine ,Epidemiology ,medicine ,Humans ,030212 general & internal medicine ,education ,Prospective cohort study ,Triglycerides ,Aged ,Aged, 80 and over ,education.field_of_study ,business.industry ,Incidence (epidemiology) ,Incidence ,Biochemistry (medical) ,Hazard ratio ,Middle Aged ,medicine.disease ,Pancreatitis ,Population study ,Acute pancreatitis ,030211 gastroenterology & hepatology ,Female ,business ,Body mass index - Abstract
Objective The incidence of acute pancreatitis is rising worldwide and currently no curative treatment exists. Clarification of preventable risk factors is important for the reduction of morbidity and mortality from acute pancreatitis. In this study, we tested the hypothesis that the risk of acute pancreatitis associated with body mass index (BMI) is partly mediated through elevated triglycerides. Design We included 118 085 individuals from 2 prospective cohort studies, the Copenhagen City Heart Study and the Copenhagen General Population Study, with BMI measured at baseline. Diagnosis of acute pancreatitis was assessed from the national Danish registries, as hospitalization or death due to acute pancreatitis. Results Higher BMI was associated with higher risk of acute pancreatitis with a multivariable-adjusted hazard ratio of 1.4 (95% CI, 1.1–1.8) for BMI of 25–29.9, 2.1 (1.6–2.9) for BMI of 30–34.9, and 2.8 (1.8–4.3) for BMI > 35, compared with individuals with BMI of 18.5–24.9. Triglycerides mediated 29% (95% CI, 12%–46%; P = 0.001) of the association between BMI and risk of acute pancreatitis in the age- and sex-adjusted model and 22% (6%–39%; P = 0.008) in the multivariable-adjusted model. Conclusion Higher BMI is associated with higher risk of acute pancreatitis in individuals from the general population, partly mediated through higher triglycerides. This indicates a potential for preventing acute pancreatitis by reducing BMI and triglycerides in individuals with high values.
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- 2019
32. 03 - REMNANT CHOLESTEROL AND RISK OF ISCHEMIC STROKE IN 112,512 INDIVIDUALS FROM THE GENERAL POPULATION
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Børge G Nordestgaard and Anette Varbo
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- 2019
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33. Genetic Variants Associated With Increased Plasma Levels of Triglycerides, via Effects on the Lipoprotein Lipase Pathway, Increase Risk of Acute Pancreatitis
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Christian M. Madsen, Anne Tybjærg-Hansen, Børge G. Nordestgaard, Signe E J Hansen, and Anette Varbo
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Adult ,Male ,medicine.medical_specialty ,Population ,Gastroenterology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,ANGPTL4 ,Internal medicine ,ANGPTL3 ,medicine ,Humans ,Prospective Studies ,education ,Triglycerides ,Angiopoietin-Like Protein 3 ,Hypertriglyceridemia ,education.field_of_study ,Lipoprotein lipase ,Hepatology ,Triglyceride ,business.industry ,Odds ratio ,medicine.disease ,Lipoprotein Lipase ,Angiopoietin-like Proteins ,Pancreatitis ,chemistry ,030220 oncology & carcinogenesis ,Acute Disease ,Acute pancreatitis ,Female ,030211 gastroenterology & hepatology ,business - Abstract
Background & Aims Almost one third of adults in the West have increased plasma levels of triglycerides. Even mild to moderate hypertriglyceridemia (2–10 mmol/L or 177–886 mg/dL) is associated with an increased risk of acute pancreatitis. However, it is not clear whether hypertriglyceridemia is a cause or result of acute pancreatitis. Lipoprotein lipase degrades plasma triglycerides. Variants in LPL, APOA5, APOC3, ANGPTL3, and ANGPTL4, which regulate the lipoprotein lipase pathway, result in increased or reduced plasma triglyceride levels. We investigated associations between these variants and acute pancreatitis in a study of the general population. Methods In a prospective cohort study, men and women randomly selected from the population of Denmark were invited to complete a questionnaire, undergo a physical examination, and provide blood samples for biochemical and genetic analyses, from 2003 through 2015. We obtained triglyceride measurements from 117,427 participants. We examined for 15 genetic variants that associate with lipoprotein lipase function in DNA samples from 102,888 participants and analyzed data from 117,427 participants in observational analyses. Diagnoses of acute pancreatitis (970 diagnoses among participants in the genetic analysis and 527 among participants in the observational study) were obtained from Danish registries. We performed a 1-sample Mendelian randomization analysis in which specific variants were used as markers of plasma level of triglycerides to determine the association between plasma level of triglyceride and acute pancreatitis. We calculated unweighted, internally weighted, and externally weighted allele scores for each participant by adding numbers of triglyceride-increasing alleles. Results The highest genetic allele score correlated with a higher plasma level of triglycerides of 0.54 mmol/L (48 mg/dL). Among participants with the highest vs the lowest genetic allele score, the odds ratio for acute pancreatitis was 1.55 (95% CI, 1.08-2.23). Using instrumental variable analysis, integrating the effect of genotype on both triglycerides levels and risk of acute pancreatitis, we associated higher unweighted allele scores (level of triglycerides 1 mmol/L or 89 mg/dL higher) with increased risk of acute pancreatitis (OR, 1.76; 95% CI, 1.16–2.65), as well as internally weighted higher allele scores (OR, 1.41; 95% CI, 1.01–1.97) and externally weighted higher allele scores (OR, 1.44; 95% CI, 1.01–2.04). Every 1 mmol/L (89 mg/dL) increase in triglycerides was observationally associated with an increase in OR of 1.09 (95% CI, 1.05–1.14) after multivariable adjustment. Conclusions Based on an analysis of individuals with genetic variants associated with an increased level of triglycerides, via their effects on the lipoprotein lipase pathway, we associated increased plasma levels of triglycerides with increased risk of acute pancreatitis. Strategies to reduce plasma levels of triglyceride, by increasing lipoprotein lipase function, might be developed for prevention of acute pancreatitis.
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- 2021
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34. Increased Remnant Cholesterol Explains Part of Residual Risk of All-Cause Mortality in 5414 Patients with Ischemic Heart Disease
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Anette Varbo, Anne-Marie K. Jepsen, Lia E. Bang, Pia R. Kamstrup, Børge G. Nordestgaard, and Anne Langsted
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Male ,medicine.medical_specialty ,Denmark ,Clinical Biochemistry ,Myocardial Ischemia ,Disease ,030204 cardiovascular system & hematology ,Gastroenterology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Cause of Death ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Risk factor ,Aged ,Cause of death ,Triglyceride ,business.industry ,Cholesterol ,Biochemistry (medical) ,Hazard ratio ,Middle Aged ,Residual risk ,Endocrinology ,chemistry ,Female ,business ,Ischemic heart - Abstract
BACKGROUND Increased concentrations of remnant cholesterol are causally associated with increased risk of ischemic heart disease. We tested the hypothesis that increased remnant cholesterol is a risk factor for all-cause mortality in patients with ischemic heart disease. METHODS We included 5414 Danish patients diagnosed with ischemic heart disease. Patients on statins were not excluded. Calculated remnant cholesterol was nonfasting total cholesterol minus LDL and HDL cholesterol. During 35836 person-years of follow-up, 1319 patients died. RESULTS We examined both calculated and directly measured remnant cholesterol; importantly, however, measured remnant cholesterol made up only 9% of calculated remnant cholesterol at nonfasting triglyceride concentrations 5 mmol/L (443 mg/dL). Multivariable-adjusted hazard ratios for all-cause mortality compared with patients with calculated remnant cholesterol concentrations in the 0 to 60th percentiles were 1.2 (95% CI, 1.1–1.4) for patients in the 61st to 80th percentiles, 1.3 (1.1–1.5) for the 81st to 90th percentiles, 1.5 (1.1–1.8) for the 91st to 95th percentiles, and 1.6 (1.2–2.0) for patients in the 96th to 100th percentiles (trend, P < 0.001). Corresponding values for measured remnant cholesterol were 1.0 (0.8–1.1), 1.2 (1.0–1.4), 1.1 (0.9–1.5), and 1.3 (1.1–1.7) (trend, P = 0.006), and for measured LDL cholesterol 1.0 (0.9–1.1), 1.0 (0.8–1.2), 1.0 (0.8–1.3), and 1.1 (0.8–1.4) (trend, P = 0.88). Cumulative survival was reduced in patients with calculated remnant cholesterol ≥1 mmol/L (39 mg/dL) vs CONCLUSIONS Increased concentrations of both calculated and measured remnant cholesterol were associated with increased all-cause mortality in patients with ischemic heart disease, which was not the case for increased concentrations of measured LDL cholesterol. This suggests that increased concentrations of remnant cholesterol explain part of the residual risk of all-cause mortality in patients with ischemic heart disease.
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- 2016
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35. Commentary: Triglycerides or HDL cholesterol in cardiovascular disease-which is the true culprit?
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Anette Varbo and Børge G. Nordestgaard
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chemistry.chemical_compound ,Text mining ,chemistry ,Epidemiology ,business.industry ,Cholesterol ,MEDLINE ,Medicine ,General Medicine ,Disease ,Bioinformatics ,business ,Culprit - Published
- 2019
36. Low HDL Cholesterol and High Risk of Autoimmune Disease: Two Population-Based Cohort Studies Including 117341 Individuals
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Børge G. Nordestgaard, Anette Varbo, and Christian M. Madsen
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0301 basic medicine ,Low HDL-cholesterol ,Denmark ,Clinical Biochemistry ,Population ,Physiology ,030204 cardiovascular system & hematology ,Autoimmune Diseases ,Cohort Studies ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,medicine ,Humans ,Registries ,education ,Autoimmune disease ,education.field_of_study ,Cholesterol ,business.industry ,Biochemistry (medical) ,Hazard ratio ,Cholesterol, HDL ,medicine.disease ,030104 developmental biology ,chemistry ,Population Surveillance ,Population study ,lipids (amino acids, peptides, and proteins) ,business ,Lipoprotein ,Cohort study - Abstract
BACKGROUND HDL is quantitatively the most important lipoprotein in most species and mechanistic evidence points toward a role for HDL in normal immune function. We tested the hypothesis that concentrations of HDL cholesterol are associated with risk of autoimmune disease. METHODS From 2 studies of the general population—the Copenhagen General Population Study and the Copenhagen City Heart study—we included 107954 and 9387 individuals with baseline measurements of HDL cholesterol. These were followed with the national Danish Patient Registry from baseline in 2003–2015 or 1991–1994 through 2017, during which time 4078 and 1101 individuals developed autoimmune disease in the 2 studies. RESULTS In the Copenhagen General Population Study, compared to individuals with HDL cholesterol ≥2.0 mmol/L (77 mg/dL), the multifactorially adjusted hazard ratios for any autoimmune disease were 1.06 (95% CI, 0.94–1.19) for individuals with HDL cholesterol of 1.5–1.99 mmol/L (58–77 mg/dL), 1.18 (95% CI, 1.04–1.35) for individuals with HDL cholesterol of 1.0–1.49 mmol/L (39–58 mg/dL), and 1.84 (95% CI, 1.52–2.22) for individuals with HDL cholesterol CONCLUSIONS Low HDL cholesterol level is associated with high risk of autoimmune disease in individuals from the general population. Our observational findings cannot determine causality.
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- 2018
37. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
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Ching-Ti Liu, Michael Boehnke, George Dedoussis, Sophie V. Eastwood, Ruth J. F. Loos, Keng-Hung Lin, Denis Rybin, Fredrik Karpe, Martina Müller-Nurasyid, Michael A. Province, Alison D. Murray, Bo Isomaa, Eirini Marouli, Konstantin Strauch, Michael Preuss, Paul M. Ridker, Jette Bork-Jensen, Albert V. Smith, Hugoline G. de Haan, Wayne Huey-Herng Sheu, Barbara Thorand, Wolfgang Rathmann, Lawrence F. Bielak, Peter Kovacs, Marit E. Jørgensen, Jennifer Wessel, Danish Saleheen, Jung-Jin Lee, James B. Meigs, Veikko Salomaa, Alena Stančáková, Tibor V. Varga, Hidetoshi Kitajima, Inês Barroso, Kent D. Taylor, Claudia Langenberg, Yoon Shin Cho, Joanna M. M. Howson, Andrew T. Hattersley, Marie-France Hivert, Markku Laakso, Kai-Uwe Eckardt, Bram P. Prins, Matthias B. Schulze, Andrew D. Morris, Susanne Jäger, Francis S. Collins, Kristi Läll, Xu Lin, Anette Varbo, Benjamin Lehne, Girish N. Nadkarni, Jonathan Marchini, Daniel I. Chasman, Michael Stumvoll, Mark O. Goodarzi, Cécile Lecoeur, Philippe M. Frossard, Noël P. Burtt, Frank Kee, Jasmina Kravic, Alain G. Bertoni, Ivan Brandslund, Najaf Amin, Lenore J. Launer, Oluf Pedersen, Johanna Kuusisto, Line Rode, Eleftheria Zeggini, Yingchang Lu, Markus Perola, Helen R. Warren, André G. Uitterlinden, Hanieh Yaghootkar, Torben Hansen, Harald Grallert, Annemari Käräjämäki, Abbas Dehghan, Gina M. Peloso, Yii-Der Ida Chen, Man Li, Shaofeng Huo, Lars Lind, Karen L. Mohlke, Adrienne Tin, Yang Hai, Renée de Mutsert, Gudmar Thorleifsson, Marie Moitry, Sune F. Nielsen, Sara M. Willems, Matthias Wuttke, Weihua Zhang, Young-Jin Kim, Giovanni Malerba, Richard A. Jensen, Loic Yengo, Mickaël Canouil, Kurt Lohman, Robert A. Scott, Tamara B. Harris, Ruifang Li-Gao, Florian Kronenberg, Anke Tönjes, Bok-Ghee Han, Krista Fischer, Thomas Meitinger, James S. Pankow, Jaakko Tuomilehto, Adam S. Butterworth, Jerome I. Rotter, Olov Rolandsson, Xiuqing Guo, Cramer Christensen, Marie Loh, Elizabeth Selvin, Bong-Jo Kim, Audrey Y. Chu, Reedik Mägi, Josée Dupuis, Anna Köttgen, Jean Ferrières, Jin Li, Robert Sladek, Leslie A. Lange, Niels Grarup, Roberta McKean-Cowdin, Cristen J. Willer, Jose C. Florez, Valgerdur Steinthorsdottir, Karina Meidtner, Annette Peters, Børge G. Nordestgaard, Rajiv Chowdhury, Ioanna Ntalla, Emma Ahlqvist, Leif Groop, Nicholas J. Wareham, Kerrin S. Small, Tiinamaija Tuomi, Cecilia M. Lindgren, Katharine R. Owen, Giovanni Gambaro, Cornelia M. van Duijn, Dennis O. Mook-Kanamori, Kenneth Rice, Erik Ingelsson, Colin N. A. Palmer, Sharon L.R. Kardia, Neil R. Robertson, Dajiang J. Liu, Sebastian Schönherr, Daniel Taliun, Sekar Kathiresan, James G. Wilson, Ping An, Patricia A. Peyser, Matthias Blüher, Frits R. Rosendaal, John C. Chambers, Caroline Hayward, Shoaib Afzal, Fernando Rivadineira, Marielisa Graff, Pranav Yajnik, Vasiliki Mamakou, Juan Fernandez Tajes, Stefan Gustafsson, Heather M. Highland, Vilmantas Giedraitis, Andrew R. Wood, Saima Afaq, Jaspal S. Kooner, Megan L. Grove, Jennifer A. Brody, Andrew P. Morris, James P. Cook, Praveen Surendran, Jennifer Kriebel, Heikki A. Koistinen, Kari Stefansson, Anders Rosengren, Rainer Rauramaa, Satu Männistö, Oscar H. Franco, Yongmei Liu, N. William Rayner, Blair H. Smith, Erwin P. Bottinger, Ayse Demirkan, Allan Linneberg, Jonathan Marten, Huaixing Li, Sung Soo Kim, Sophie Hackinger, Cristina Bombieri, Lia B. Bang, Jun Liu, Asif Rasheed, Tim D. Spector, Paul W. Franks, Mark I. McCarthy, Heiner Boeing, Anne E. Justice, Vilmundur Gudnason, Sohee Han, Unnur Thorsteinsdottir, Panos Deloukas, Naveed Sattar, Eric Boerwinkle, Martin Ingelsson, John Danesh, Vassily Trubetskoy, Marco M Ferrario, Marju Orho-Melander, Wei Gan, Philippe Froguel, Symen Ligthart, Susan R. Heckbert, Jie Yao, Anne Tybjærg-Hansen, Robin Young, Daniel R. Witte, Anubha Mahajan, Peter Almgren, Timothy M. Frayling, Tanya M. Teslovich, Matt Neville, Philippe Amouyel, Wei Zhao, Andres Metspalu, Yao Hu, Olle Melander, Kari Kuulasmaa, Jason Flannick, Torben Jørgensen, Stephen S. Rich, Nicole Soranzo, Bruce M. Psaty, Rohit Varma, Epidemiology, and Internal Medicine
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0301 basic medicine ,Male ,Inference ,Genome-wide association study ,Whole Exome Sequencing ,0302 clinical medicine ,type 2 diabetes ,coding variant associations signals ,mechanistic inference ,fine mapping ,Coding region ,Chromosome Mapping/statistics & numerical data ,European Continental Ancestry Group/genetics ,CONFERS SUSCEPTIBILITY ,Exome sequencing ,11 Medical and Health Sciences ,Genetics ,Genetics & Heredity ,0303 health sciences ,MAGIC Consortium ,Chromosome Mapping ,Whole Exome Sequencing/statistics & numerical data ,Identification (information) ,RARE VARIANTS ,LOW-FREQUENCY ,Female ,ExomeBP Consortium ,Life Sciences & Biomedicine ,SUSCEPTIBILITY LOCI ,Posterior probability ,European Continental Ancestry Group ,030209 endocrinology & metabolism ,Context (language use) ,Computational biology ,Biology ,GENOTYPE IMPUTATION ,Article ,White People ,GENETIC ARCHITECTURE ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,QUALITY-CONTROL ,Exome Sequencing ,Genome-Wide Association Study/statistics & numerical data ,Journal Article ,GIANT Consortium ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Alleles ,Genetic association ,030304 developmental biology ,FATTY LIVER-DISEASE ,Science & Technology ,Genetic Variation ,06 Biological Sciences ,Genetic architecture ,Minor allele frequency ,BODY-MASS INDEX ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Diabetes Mellitus, Type 2/classification ,030217 neurology & neurosurgery ,Coding (social sciences) ,Genome-Wide Association Study ,Developmental Biology - Abstract
Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant data for 81,412 type 2 diabetes (T2D) cases and 370,832 controls of diverse ancestry, identifying 40 distinct coding variant association signals (at 38 loci) reaching significance (p−7). Of these, 16 represent novel associations mapping outside known genome-wide association study (GWAS) signals. We make two important observations. First, despite a threefold increase in sample size over previous efforts, only five of the 40 signals are driven by variants with minor allele frequency 1.29. Second, we used GWAS data from 50,160 T2D cases and 465,272 controls of European ancestry to fine-map these associated coding variants in their regional context, with and without additional weighting to account for the global enrichment of complex trait association signals in coding exons. At the 37 signals for which we attempted fine-mapping, we demonstrate convincing support (posterior probability >80% under the “annotation-weighted” model) that coding variants are causal for the association at 16 (including novel signals involving POC5 p.His36Arg, ANKH p.Arg187Gln, WSCD2 p.Thr113Ile, PLCB3 p.Ser778Leu, and PNPLA3 p.Ile148Met). However, at 13 of the 37 loci, the associated coding variants represent “false leads” and naïve analysis could have led to an erroneous inference regarding the effector transcript mediating the signal. Accurate identification of validated targets is dependent on correct specification of the contribution of coding and non-coding mediated mechanisms at associated loci.
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- 2018
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38. Unmet Need For Secondary Prevention In Individuals With Hyperlipoproteinemia(A): The Copenhagen General Population Study
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B.G. Nordestgaard, Christian M. Madsen, Anette Varbo, Anne Langsted, and Pia R. Kamstrup
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Secondary prevention ,medicine.medical_specialty ,business.industry ,Family medicine ,Population study ,Medicine ,Cardiology and Cardiovascular Medicine ,business ,Unmet needs - Published
- 2019
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39. Remnant Cholesterol and Triglyceride-Rich Lipoproteins in Atherosclerosis Progression and Cardiovascular Disease
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Børge G. Nordestgaard and Anette Varbo
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medicine.medical_specialty ,Very low-density lipoprotein ,Lipoproteins ,Blood lipids ,030204 cardiovascular system & hematology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Chylomicron remnant ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,030212 general & internal medicine ,Triglycerides ,Foam cell ,Triglyceride ,business.industry ,Cholesterol ,digestive, oral, and skin physiology ,Atherosclerosis ,medicine.disease ,Endocrinology ,chemistry ,Cardiovascular Diseases ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business ,Lipoprotein - Abstract
In this issue of the journal, Puri et al1 examines the association of on-treatment concentrations of non–high-density lipoprotein (non-HDL) cholesterol and triglycerides with coronary atheroma progression and clinical events. They used data from 9 clinical trials, originally designed to examine effects of different medical therapies on regression of coronary atheroma burden, assessed by intravascular ultrasound. The main finding was that achieved concentrations of non-HDL cholesterol and achieved concentrations of triglycerides were closely associated with coronary atheroma progression and regression, irrespective of achieved concentrations of low-density lipoprotein (LDL) cholesterol, C-reactive protein concentration, and diabetes mellitus status. See accompanying article on page 2220 Non-HDL cholesterol is a combined measure of the cholesterol content of LDL, lipoprotein(a), and triglyceride-rich lipoproteins, the latter also known as remnants (Figure). Remnants are here a combined term for intermediate-density lipoproteins, very-low-density lipoproteins, and chylomicron remnants. These lipoproteins likely are atherogenic by penetrating the arterial wall, leading to accumulation of cholesterol in the intimal space, foam cell formation, and atherosclerosis2–5 (Figure). Triglycerides are primarily carried by remnants, and concentrations of triglycerides are highly correlated with the cholesterol content of remnants, that is, remnant cholesterol.6 It is most likely that the cholesterol content of remnants, and not triglycerides, causes atherosclerosis because most cells can degrade triglycerides but not cholesterol2,5 and because cholesterol, and not …
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- 2016
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40. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
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Alison Pattie, Ailith Pirie, Francis S. Collins, Charles Kooperberg, Nienke van Leeuwen, Carmel Moore, Sharon L.R. Kardia, Neil R. Robertson, Lisa Bastarache, Allan Linneberg, Peter T. Campbell, Helena Kuivaniemi, Struan F.A. Grant, Sascha Fauser, Sekar Kathiresan, Lars Lind, Erin B. Ware, Olli T. Raitakari, Dawn M. Waterworth, James G. Wilson, Markus Perola, Chris J. Packard, Michelle L. O'Donoghue, Fredrik Karpe, Roel A. Ophoff, Sailaja Vedantam, Artitaya Lophatananon, Uwe Völker, Emmanouil Tsafantakis, Hakon Hakonarson, Dajiang J. Liu, Craig E. Pennell, Xueling Sim, Jennifer E. Huffman, Sandosh Padmanabhan, Digna R. Velez Edwards, Michiel L. Bots, Ayush Giri, Renée de Mutsert, Emanuele Di Angelantonio, Nicholas J. Wareham, Jin Li, Gail P. Jarvik, Evangelos Evangelou, Anne Tybjærg-Hansen, Patricia B. Munroe, Penny Gordon-Larsen, Lia E. Bang, Ivan Brandslund, Hester M. den Ruijter, Jussi Hernesniemi, Nancy L. Heard-Costa, Angela L. Mazul, Jonathan Tyrer, Danish Saleheen, Mark J. Caulfield, John Andrew Pospisilik, Annette Peters, Caroline Hayward, Iris M. Heid, J. Wouter Jukema, Valérie Turcot, Matt Neville, Rudolf Uher, Patricia A. Peyser, Jessica D. Faul, Asif Rasheed, Shuai Wang, John C. Chambers, Jordi Corominas Galbany, Murray H. Brilliant, Yucheng Jia, Torben Hansen, Veikko Salomaa, Mary F. Feitosa, Mathias Gorski, Li-An Lin, George Dedoussis, Honghuang Lin, Ethan M. Lange, Veronique Vitart, Bratati Kahali, Alexander Teumer, Jerome I. Rotter, Wayne H-H Sheu, Vilmantas Giedraitis, Aliki-Eleni Farmaki, Lorraine Southam, Ele Ferrannini, Anette P. Gjesing, Krina T. Zondervan, Stavroula Kanoni, David J. Roberts, Rebecca S. Fine, Svati H. Shah, Tugce Karaderi, Claudia Langenberg, Stefan Johansson, Elizabeth K. Speliotes, Alexander P. Reiner, Ching-Ti Liu, Yiqin Wang, Pål R. Njølstad, Gabriel Cuellar-Partida, Amanda J. Cox, Tim D. Spector, Paul W. Franks, Anke Tönjes, John D. Rioux, Jeffrey Haessler, Paul L. Auer, Ingrid B. Borecki, Deborah J. Thompson, Weihua Zhang, John R. B. Perry, Paul Elliott, Folkert W. Asselbergs, Myriam Fornage, Ken Sin Lo, Marie Moitry, Paul Mitchell, Martin den Heijer, Zoltán Kutalik, Tune H. Pers, Kari Stefansson, Kari Kuulasmaa, Robert E. Schoen, Mark C.H. De Groot, Laura M. Yerges-Armstrong, Jing Hua Zhao, Beverley Balkau, Peggy L. Peissig, Michael Boehnke, Janie Corley, Katharine R. Owen, Unnur Thorsteinsdottir, Naveed Sattar, Sita H. Vermeulen, Thomas N. Person, Mark I. McCarthy, Paul I.W. de Bakker, David Lamparter, Poorva Mudgal, Nicholette D. Palmer, Maria Karaleftheri, Jan-Håkan Jansson, Ozren Polasek, Ruth J. F. Loos, Daniel R. Witte, Dermot F. Reilly, Anubha Mahajan, Stella Trompet, James A. Perry, Yingchang Lu, Claudia Schurmann, Yii-Der Ida Chen, Hidetoshi Kitajima, Dale R. Nyholt, John Danesh, Pamela J. Schreiner, Narisu Narisu, Jose C. Florez, Adelheid Lempradl, Gerome Breen, Torben Jørgensen, Anu Loukola, Joe Dennis, Hans-Jörgen Grabe, Vilmundur Gudnason, Timo A. Lakka, Heather M. Highland, Sven Bergmann, Marie-Pierre Dubé, Giovanni Veronesi, Martina Müller-Nurasyid, Jaakko Tuomilehto, Nele Friedrich, Joel N. Hirschhorn, Pia R. Kamstrup, Nilesh J. Samani, Josh C. Denny, Mika Kähönen, Massimiliano Cocca, Liang Sun, Karina Meidtner, Carsten A. Böger, Sara M. Willems, Marcelo P. Segura-Lepe, Johanna Kuusisto, Hanieh Yaghootkar, Konstantin Strauch, Ruth Frikke-Schmidt, Jane Gibson, Matti Uusitupa, Oscar H. Franco, Yongmei Liu, Heather M. Stringham, Rohit Varma, Grant W. Montgomery, Dennis O. Mook-Kanamori, Stefania Cappellani, Paul L. Huang, Albert V. Smith, Eric Kim, Anke R. Hammerschlag, Katherine S. Ruth, Carolina Medina-Gomez, Gerard Pasterkamp, Cristen J. Willer, Alisa K. Manning, Frida Renström, René S. Kahn, Lili Milani, Feijie Wang, Tessel E. Galesloot, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Adam S. Butterworth, Tamara B. Harris, Matthew A. Allison, Paul M. Ridker, David J. Carey, Todd L. Edwards, Panos Deloukas, Xiuqing Guo, Lawrence F. Bielak, Leena Moilanen, Heiner Boeing, Peter Kovacs, Karen L. Mohlke, Myriam Rheinberger, Cramer Christensen, Betina H. Thuesen, Mike A. Nalls, Erik Ingelsson, Nicholas G. D. Masca, Colin N. A. Palmer, Audrey E. Hendricks, Linda Broer, Vanisha Mistry, Praveen Surendran, Audrey Y. Chu, Rainer Rauramaa, Angela D'Eustacchio, Helen Griffiths, Satu Männistö, Patrick T. Ellinor, Terho Lehtimäki, Katherine E. Tansey, I. Sadaf Farooqi, Gaëlle Marenne, Anneke I. den Hollander, Jessica van Setten, Hannu Puolijoki, Tinca J. C. Polderman, Timothy M. Frayling, Niels Grarup, Eric Boerwinkle, Gonçalo R. Abecasis, Adam E. Locke, Mengmeng Du, Manuel A. Rivas, Philippe Amouyel, Jaakko Kaprio, Leslie A. Lange, Loes M. Olde Loohuis, Trevor A. Mori, Lambertus A. Kiemeney, Wei Zhao, Eva Rb Petersen, Huaixing Li, Thomas W. Winkler, Tellervo Korhonen, Kathleen Stirrups, Jean Ferrières, Wei Zhou, Ian J. Deary, Guillaume Lettre, M. Arfan Ikram, Alex W. Hewitt, Marit E. Jørgensen, Ian Ford, Liang He, Mark Walker, Stefan Gustafsson, Andre Franke, Yao Hu, Jaana Lindström, Jonathan P. Bradfield, Anne E. Justice, Kristin L. Young, Sander W. van der Laan, Shuang Feng, Yadav Sapkota, Douglas F. Easton, Cornelia M. van Duijn, Amy J. Swift, Kjell Nikus, Helen R. Warren, Christian Theil Have, Wei Gan, Steven A. Lubitz, Harvey D. White, Pirjo Komulainen, John M. Starr, Jeffrey R. O'Connel, Anette Varbo, Daniel I. Chasman, Ruifang Li-Gao, Lynne E. Wagenknecht, Matthias Blüher, Xiaowei Zhan, Thomas F. Vogt, Eleftheria Zeggini, Tamuno Alfred, Katja K.H. Aben, Lars Wallentin, Joanna M. M. Howson, Jie Yao, Eulalia Catamo, Henrik Vestergaard, Gina M. Peloso, Markku Laakso, Matthias B. Schulze, Hayato Tada, Jennifer Wessel, Andrew R. Wood, Erwin P. Bottinger, Cora E. Lewis, Robin Young, Carol A. Wang, Oddgeir L. Holmen, Andrew J. Slater, Jean-Claude Tardif, Xu Lin, Inês Barroso, Gail Davies, Tibor V. Varga, Andrew J. Lotery, Igor Rudan, Andrew T. Hattersley, Michael Stumvoll, David Ellinghaus, Andrew C. Heath, Frank Kee, Christopher P. Nelson, Donald W. Bowden, Alison M. Dunning, Marianne Benn, Oluf Pedersen, Amber A. Burt, Aniruddh P. Patel, G. Kees Hovingh, David S. Crosslin, Gorm B. Jensen, Keng-Hung Lin, Dewan S. Alam, Jian'an Luan, Ying Wu, Tõnu Esko, Kathleen Mullan Harris, Antonietta Robino, Anne U. Jackson, Eirini Marouli, Robert A. Scott, Jette Bork-Jensen, Olov Rolandsson, Nanette R. Lee, Gerard Tromp, Megan L. Grove, Suthesh Sivapalaratnam, Sameer E. Al-Harthi, Roberta McKean-Cowdin, Paolo Gasparini, Ellen W. Demerath, Marco Brumat, Maggie C.Y. Ng, Børge G. Nordestgaard, Kari E. North, Rajiv Chowdhury, Mauno Vanhala, Andrew P. Morris, Sarah E. Medland, Sune F. Nielsen, Ilaria Gandin, Øyvind Helgeland, James P. Cook, Kent D. Taylor, Andrew D. Morris, Gudmar Thorleifsson, André G. Uitterlinden, Pang Yao, Valgerdur Steinthorsdottir, Eric B. Larson, Kerrin S. Small, Cecilia M. Lindgren, Dragana Vuckovic, Mariaelisa Graff, Fotios Drenos, Jaspal S. Kooner, Schurmann, Claudia [0000-0003-4158-9192], Justice, Anne E [0000-0002-8903-8712], Giri, Ayush [0000-0002-7786-4670], Locke, Adam E [0000-0001-6227-198X], Young, Kristin L [0000-0003-0070-6145], Medina-Gomez, Carolina [0000-0001-7999-5538], Winkler, Thomas W [0000-0003-0292-5421], Zeggini, Eleftheria [0000-0003-4238-659X], Zhao, Wei [0000-0002-8301-9297], Zondervan, Krina T [0000-0002-0275-9905], Pospisilik, John A [0000-0002-9745-0977], Rivadeneira, Fernando [0000-0001-9435-9441], Deloukas, Panos [0000-0001-9251-070X], Apollo - University of Cambridge Repository, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Radiology & Nuclear Medicine, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Biological Psychology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, British Heart Foundation, Wellcome Trust, Medical Research Council (MRC), National Institute for Health Research, Home Office, National Institutes of Health, Imperial College Healthcare NHS Trust- BRC Funding, Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inê, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthia, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Angelantonio, Emanuele, Drenos, Fotio, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelo, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmanta, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathia, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niel, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kee, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charle, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lar, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian'An, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., Mccarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O'Connel, Jeffrey R., O'Donoghue, Michelle L., Olde Loohuis, Loes M., Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Marku, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H. -H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, Van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Velez Edwards, Digna R., Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lar, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Pano, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., Loos, Ruth J. F., Internal medicine, AGEM - Endocrinology, metabolism and nutrition, Amsterdam Movement Sciences - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, APH - Aging & Later Life, Physiology, and VU University medical center
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0301 basic medicine ,Male ,ReproGen Consortium ,MathematicsofComputing_GENERAL ,Genome-wide association study ,medicine.disease_cause ,Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12] ,Body Mass Index ,genetics [Obesity] ,0302 clinical medicine ,Gene Frequency ,Glucose homeostasis ,Adult ,Animals ,Drosophila/genetics ,Energy Intake/genetics ,Energy Metabolism/genetics ,Female ,Genetic Variation ,Humans ,Obesity/genetics ,Proteins/genetics ,Syndrome ,11 Medical and Health Sciences ,2. Zero hunger ,Genetics ,Genetics & Heredity ,Mutation ,CHD Exome+ Consortium ,body mass index ,TheoryofComputation_GENERAL ,T2D-Genes Consortium ,GENOME-WIDE ASSOCIATION ,MELANOCORTIN-4 RECEPTOR GENE ,DONEPEZIL 23 MG ,FRAMESHIFT MUTATION ,GLUCOSE-HOMEOSTASIS ,HYPOTHALAMIC AMPK ,CODING VARIANTS ,BLOOD-PRESSURE ,RARE ,LOCI ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Drosophila ,ExomeBP Consortium ,Life Sciences & Biomedicine ,INTERVAL Study ,Understanding Society Scientific Group ,EPIC InterAct Consortium ,genetics [Energy Metabolism] ,Biology ,EPIC-CVD Consortium ,Frameshift mutation ,03 medical and health sciences ,MAGIC Investigators ,All institutes and research themes of the Radboud University Medical Center ,Genetic ,SDG 3 - Good Health and Well-being ,ddc:570 ,genetics [Drosophila] ,medicine ,Journal Article ,Global Lipids Genetic Consortium ,Obesity ,Gene ,Allele frequency ,Genetic association ,Science & Technology ,Proteins ,06 Biological Sciences ,genetics [Proteins] ,Minor allele frequency ,030104 developmental biology ,GoT2D Genes Consortium ,Energy Intake ,Energy Metabolism ,genetics [Energy Intake] ,030217 neurology & neurosurgery ,Developmental Biology - Abstract
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
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- 2018
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41. Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies
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Jorma Viikari, Caren E. Smith, Jose M. Ordovas, Allan Linneberg, Yoriko Heianza, Dariush Mozaffarian, Olli T. Raitakari, Chao-Qiang Lai, Paul M. Ridker, Frida Renström, Marju Orho-Melander, Christina-Alexandra Schulz, Lynda M. Rose, Mary F. Feitosa, Audrey Y. Chu, Ulrika Ericson, Paul W. Franks, Tuomas O. Kilpelainen, Ulla Toft, Craig E. Pennell, Kim Overvad, Anette Varbo, Daniel I. Chasman, M. Carola Zillikens, Lu Qi, Dena G. Hernandez, Luigi Ferrucci, Toshiko Tanaka, Frank B. Hu, David S. Siscovick, Dian-jianyi Sun, Stella Aslibekyan, José V. Sorlí, Frank J. A. van Rooij, Alexis C. Frazier-Wood, Donna K. Arnett, Oscar Coltell, Inês Barroso, Tiange Wang, Børge G. Nordestgaard, Fredric Fumeron, Vera Mikkilä, Christina Ellervik, Tao Huang, Helle K. M. Bergholdt, Ingegerd Johansson, Stefania Bandinelli, Oluf Pedersen, Rozenn N. Lemaitre, Yujie Wang, Anne Tjønneland, Michael A. Province, Katherine L. Tucker, Albert Hofman, Camilla H. Sandholt, Ming Ding, Walter C. Willett, Oscar H. Franco, Trudy Voortman, Jerome I. Rotter, Mariaelisa Graff, M. Ester A. L. de Jonge, Peter R. Eastwood, Thorkild I. A. Sørensen, André G. Uitterlinden, Mary K. Wojczynski, Kari E. North, Carol A. Wang, Terho Lehtimäki, Dolores Corella, Emily Sonestedt, Stephen S. Rich, Bruce M. Psaty, Tzu-An Chen, Torben Hansen, Mika Kähönen, Mathew Allison, Epidemiology, Internal Medicine, Department of Food and Nutrition, and University of Helsinki
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Adult ,medicine.medical_specialty ,Milk intake ,Genotype ,Clinical Biochemistry ,030209 endocrinology & metabolism ,Polymorphism, Single Nucleotide ,Body Mass Index ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Epidemiology ,Journal Article ,medicine ,EPIDEMIOLOGY ,Humans ,HETEROGENEITY ,030212 general & internal medicine ,Prospective Studies ,Dietary calcium ,METAANALYSIS ,RISK ,2. Zero hunger ,Consumption (economics) ,Polymorphism, Genetic ,DIETARY CALCIUM ,business.industry ,Biochemistry (medical) ,Body Weight ,Mendelian Randomization Analysis ,ASSOCIATION ,ta3121 ,medicine.disease ,MILK INTAKE ,Obesity ,CONTROLLED-TRIALS ,WEIGHT-GAIN ,Cross-Sectional Studies ,OBESITY ,Dairy Products ,3143 Nutrition ,medicine.symptom ,business ,Weight gain ,Body mass index - Abstract
BACKGROUND Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined. METHODS We performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upstream of the lactase gene (LCT-13910 C/T, rs4988235) as an instrumental variable (IV). Linear regression models were fitted to analyze associations between (a) dairy intake and BMI, (b) rs4988235 and dairy intake, and (c) rs4988235 and BMI in each study. The causal effect of dairy intake on BMI was quantified by IV estimators among 184802 participants from 25 studies. RESULTS Higher dairy intake was associated with higher BMI (β = 0.03 kg/m2 per serving/day; 95% CI, 0.00–0.06; P = 0.04), whereas the LCT genotype with 1 or 2 T allele was significantly associated with 0.20 (95% CI, 0.14–0.25) serving/day higher dairy intake (P = 3.15 × 10−12) and 0.12 (95% CI, 0.06–0.17) kg/m2 higher BMI (P = 2.11 × 10−5). MR analysis showed that the genetically determined higher dairy intake was significantly associated with higher BMI (β = 0.60 kg/m2 per serving/day; 95% CI, 0.27–0.92; P = 3.0 × 10−4). CONCLUSIONS The present study provides strong evidence to support a causal effect of higher dairy intake on increased BMI among adults.
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- 2017
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42. Unmet need for primary prevention in individuals with hypertriglyceridaemia not eligible for statin therapy according to European Society of Cardiology/European Atherosclerosis Society guidelines: a contemporary population-based study
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Christian M. Madsen, Børge G. Nordestgaard, and Anette Varbo
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Adult ,Pediatrics ,medicine.medical_specialty ,Statin ,medicine.drug_class ,Eligibility Determination ,030204 cardiovascular system & hematology ,law.invention ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Randomized controlled trial ,law ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Medicine ,Humans ,030212 general & internal medicine ,Myocardial infarction ,Hypertriglyceridemia ,business.industry ,Cholesterol ,Middle Aged ,medicine.disease ,Atherosclerosis ,Confidence interval ,chemistry ,Practice Guidelines as Topic ,Cardiology ,Population study ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Cardiology and Cardiovascular Medicine ,business ,Mace - Abstract
Aims To identify individuals at high risk of atherosclerotic cardiovascular disease (ASCVD), who are not definite statin eligible according to the 2016 European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) guidelines, based on high concentrations of plasma triglycerides. Methods and results From the Copenhagen General Population Study (2003-2015) 58 547 individuals aged 40-65 and free of ASCVD, diabetes, and statin use at baseline were included. Of these, 14% were definite statin eligible, 7% were not eligible and had triglycerides ≥3.0 mmol/L (264 mg/dL), and 79% were not statin eligible and had triglycerides
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- 2017
43. Remnant lipoproteins
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Anette Varbo and Børge G. Nordestgaard
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0301 basic medicine ,Nutrition and Dietetics ,Endocrinology, Diabetes and Metabolism ,Lipoproteins ,Cell Biology ,030204 cardiovascular system & hematology ,Atherosclerosis ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Cholesterol ,Genetics ,Humans ,Cardiology and Cardiovascular Medicine ,Molecular Biology - Abstract
To review recent advances in the field of remnant lipoproteins and remnant cholesterol with a focus on cardiovascular disease risk.In line with previous years' research, current observational, genetic, and mechanistic studies find remnant lipoproteins (defined in different ways) to be involved in atherosclerosis development and cardiovascular disease risk. High concentrations of remnant cholesterol could explain some of the residual risk of cardiovascular disease seen after LDL cholesterol lowering. This will be increasingly important as populations worldwide become more obese and more have diabetes, both of which elevate remnant cholesterol concentrations. Many smaller scale studies and post hoc analyses show that remnant cholesterol can be lowered by different types of drugs; however, results from large scale studies with the primary aim of reducing cardiovascular disease risk through lowering of remnant cholesterol in individuals with elevated concentrations are still missing, although some are under way.Remnant cholesterol is a risk factor for cardiovascular disease, and can be lowered by different types of drugs; however, large scale studies of cardiovascular disease risk reduction through remnant lipoprotein lowering are under way.
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- 2017
44. Lactase persistence, milk intake, and mortality in the Danish general population: a Mendelian randomization study
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Anette Varbo, Christina Ellervik, Helle Kirstine Mørup Bergholdt, and Børge G. Nordestgaard
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0301 basic medicine ,food.ingredient ,Genotype ,Epidemiology ,Genetic Linkage ,medicine.medical_treatment ,Denmark ,Population ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,chemistry.chemical_compound ,fluids and secretions ,0302 clinical medicine ,food ,Lactose Intolerance ,Neoplasms ,Skimmed milk ,Mendelian randomization ,medicine ,Animals ,Humans ,030212 general & internal medicine ,Registries ,Lactose ,Mortality ,education ,Lactase ,education.field_of_study ,030109 nutrition & dietetics ,Proportional hazards model ,business.industry ,Hazard ratio ,food and beverages ,Genetic Variation ,Mendelian Randomization Analysis ,Lactase persistence ,Genetics, Population ,Milk ,chemistry ,Cardiovascular Diseases ,Dairy Products ,business ,Demography - Abstract
Meta-analyses have suggested no association between milk intake and mortality. Since only few studies have been conducted, we investigated the association between the lactase persistent genetic variant LCT-13910 C/T (rs4988235), a proxy for long-term low and high intake of milk, and mortality. We used two Danish population-based studies with self-reported intake of milk and genotyping for LCT-13910 C/T. We obtained information on all-cause and cause-specific mortality (cardiovascular and cancer) from the national Danish registries. We used multivariable adjusted Cox regression to assess the association between milk intake and mortality in 74,241 individuals, and both logistic and Cox-regression to assess the association between genetic lactase persistence and mortality in 82,964 individuals using a Mendelian randomization design. We applied per T-allele, co-dominant and dominant models. During a mean follow-up of 7 years, 9759 individuals died, 2166 from cardiovascular disease, and 2822 from cancer. Observationally, there was no association between intake of skimmed milk and all-cause or cardiovascular mortality, and we did not find any associations between intake of semi-skimmed or whole milk with all-cause or cause-specific mortality. Intake of skimmed milk was associated with lower cancer mortality with a hazard ratio of 0.97 (95% CI 0.96–1.00) per doubling in milk intake. Per T-allele, milk intake increased with 0.58 (0.50–0.68) glasses/week. Genetically, we found no associations between the lactase persistent LCT-13910 C/T genotype and all-cause or cause-specific mortality; per T-allele OR (95% CI) for all-cause mortality was 1.02 (0.97–1.06). Our study did not provide strong evidence of observational or genetic associations between milk intake and all-cause or cause-specific mortality.
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- 2017
45. U-shaped relationship of HDL and risk of infectious disease: two prospective population-based cohort studies
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Anne Tybjærg-Hansen, Ruth Frikke-Schmidt, Børge G. Nordestgaard, Anette Varbo, and Christian M. Madsen
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0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,Population ,030204 cardiovascular system & hematology ,Infections ,03 medical and health sciences ,chemistry.chemical_compound ,Young Adult ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,Prospective Studies ,education ,Prospective cohort study ,Triglycerides ,Proportional Hazards Models ,education.field_of_study ,Apolipoprotein A-I ,Cholesterol ,business.industry ,Proportional hazards model ,Hazard ratio ,Cholesterol, HDL ,Middle Aged ,Confidence interval ,030104 developmental biology ,chemistry ,Infectious disease (medical specialty) ,Population study ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business - Abstract
Aims Preclinical evidence has indicated that HDL may play an important role in the immune system; however, very little is known about the role of HDL in the immune system in humans. We tested the hypothesis that low and high concentrations of HDL cholesterol are associated with risk of infectious disease in the general population. Methods and results We included 97 166 individuals from the Copenhagen General Population Study and 9387 from the Copenhagen City Heart Study with measurements of HDL cholesterol at baseline. The primary endpoint was any infectious disease requiring hospital admission, ascertained in the Danish health registries from baseline in 2003-13 or 1991-94 through 2014; 9% and 31% of individuals in the two studies experienced one or more infectious disease events. Using restricted cubic splines, there was a U-shaped association between concentrations of HDL cholesterol and risk of any infection. Following multifactorial adjustment, individuals with HDL cholesterol below 0.8 mmol/L (31 mg/dL) and above 2.6 mmol/L (100 mg/dL) had hazard ratios for any infection of 1.75 (95% confidence interval 1.31-2.34) and 1.43 (1.16-1.76), compared to those with HDL cholesterol of 2.2-2.3 mmol/L (85-95 mg/dL). In the Copenhagen City Heart Study, corresponding hazard ratios for any infection were 2.00 (1.16-3.43) and 1.13 (0.80-1.60). Conclusion Low and high HDL cholesterol concentrations found in 21% and 8% of individuals were associated with higher risk of infectious disease in the general population. These findings do not necessarily indicate causality.
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- 2017
46. Triglycerides and cardiovascular disease
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Anette Varbo and Børge G. Nordestgaard
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medicine.medical_specialty ,Physiology ,Disease ,Risk Assessment ,chemistry.chemical_compound ,Risk Factors ,Internal medicine ,Epidemiology ,medicine ,Animals ,Humans ,Exercise ,Life Style ,Fasting state ,Hypolipidemic Agents ,Hypertriglyceridemia ,Triglyceride ,business.industry ,Cholesterol ,Cholesterol, HDL ,Cholesterol, LDL ,General Medicine ,medicine.disease ,Endocrinology ,Increased risk ,chemistry ,Cardiovascular Diseases ,Acute pancreatitis ,lipids (amino acids, peptides, and proteins) ,business ,Risk assessment - Abstract
Summary After the introduction of statins, clinical emphasis first focussed on LDL cholesterol-lowering, then on the potential for raising HDL cholesterol, with less focus on lowering triglycerides. However, the understanding from genetic studies and negative results from randomised trials that low HDL cholesterol might not cause cardiovascular disease as originally thought has now generated renewed interest in raised concentrations of triglycerides. This renewed interest has also been driven by epidemiological and genetic evidence supporting raised triglycerides, remnant cholesterol, or triglyceride-rich lipoproteins as an additional cause of cardiovascular disease and all-cause mortality. Triglycerides can be measured in the non-fasting or fasting states, with concentrations of 2–10 mmol/L conferring increased risk of cardiovascular disease, and concentrations greater than 10 mmol/L conferring increased risk of acute pancreatitis and possibly cardiovascular disease. Although randomised trials showing cardiovascular benefit of triglyceride reduction are scarce, new triglyceride-lowering drugs are being developed, and large-scale trials have been initiated that will hopefully provide conclusive evidence as to whether lowering triglycerides reduces the risk of cardiovascular disease.
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- 2014
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47. Low Nonfasting Triglycerides and Reduced All-Cause Mortality: A Mendelian Randomization Study
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Anette Varbo, Mette Thomsen, Anne Tybjærg-Hansen, and Børge G. Nordestgaard
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medicine.medical_specialty ,Denmark ,Clinical Biochemistry ,Kaplan-Meier Estimate ,Biology ,Sensitivity and Specificity ,chemistry.chemical_compound ,Polymorphism (computer science) ,Internal medicine ,Mendelian randomization ,medicine ,Humans ,Prospective Studies ,Mortality ,Prospective cohort study ,Triglycerides ,Lipoprotein lipase ,Polymorphism, Genetic ,Cholesterol ,Biochemistry (medical) ,Hazard ratio ,Odds ratio ,Mendelian Randomization Analysis ,Postprandial Period ,Lipoprotein Lipase ,Endocrinology ,chemistry ,Cardiovascular Diseases ,Data Interpretation, Statistical ,Biomarkers ,All cause mortality - Abstract
BACKGROUNDIncreased nonfasting plasma triglycerides marking increased amounts of cholesterol in remnant lipoproteins are important risk factors for cardiovascular disease, but whether lifelong reduced concentrations of triglycerides on a genetic basis ultimately lead to reduced all-cause mortality is unknown. We tested this hypothesis.METHODSUsing individuals from the Copenhagen City Heart Study in a mendelian randomization design, we first tested whether low concentrations of nonfasting triglycerides were associated with reduced all-cause mortality in observational analyses (n = 13 957); second, whether genetic variants in the triglyceride-degrading enzyme lipoprotein lipase, resulting in reduced nonfasting triglycerides and remnant cholesterol, were associated with reduced all-cause mortality (n = 10 208).RESULTSDuring a median 24 and 17 years of 100% complete follow-up, 9991 and 4005 individuals died in observational and genetic analyses, respectively. In observational analyses compared to individuals with nonfasting plasma triglycerides of 266–442 mg/dL (3.00–4.99 mmol/L), multivariably adjusted hazard ratios for all-cause mortality were 0.89 (95% CI 0.78–1.02) for 177–265 mg/dL (2.00–2.99 mmol/L), 0.74 (0.65–0.84) for 89–176 mg/dL (1.00–1.99 mmol/L), and 0.59 (0.51–0.68) for individuals with nonfasting triglycerides CONCLUSIONSGenetically reduced concentrations of nonfasting plasma triglycerides are associated with reduced all-cause mortality, likely through reduced amounts of cholesterol in remnant lipoproteins.
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- 2014
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48. Remnant cholesterol as a cause of ischemic heart disease: Evidence, definition, measurement, atherogenicity, high risk patients, and present and future treatment
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Anette Varbo, Børge G. Nordestgaard, and Marianne Benn
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medicine.medical_specialty ,Very low-density lipoprotein ,Myocardial Ischemia ,chemistry.chemical_compound ,High-density lipoprotein ,Risk Factors ,Internal medicine ,medicine ,Animals ,Humans ,Pharmacology (medical) ,Risk factor ,Triglycerides ,Randomized Controlled Trials as Topic ,Inflammation ,Pharmacology ,Intermediate-density lipoprotein ,Triglyceride ,business.industry ,Cholesterol ,digestive, oral, and skin physiology ,Cholesterol, LDL ,Atherosclerosis ,Endocrinology ,chemistry ,Cardiovascular Diseases ,Low-density lipoprotein ,lipids (amino acids, peptides, and proteins) ,Lipoproteins, HDL ,business ,Lipoprotein - Abstract
This review focuses on remnant cholesterol as a causal risk factor for ischemic heart disease (IHD), on its definition, measurement, atherogenicity, and levels in high risk patient groups; in addition, present and future pharmacological approaches to lowering remnant cholesterol levels are considered. Observational studies show association between elevated levels of remnant cholesterol and increased risk of cardiovascular disease, even when remnant cholesterol levels are defined, measured, or calculated in different ways. In-vitro and animal studies also support the contention that elevated levels of remnant cholesterol may cause atherosclerosis same way as elevated levels of low-density lipoprotein (LDL) cholesterol, by cholesterol accumulation in the arterial wall. Genetic studies of variants associated with elevated remnant cholesterol levels show that an increment of 1mmol/L (39mg/dL) in levels of nonfasting remnant cholesterol associates with a 2.8-fold increased risk of IHD, independently of high-density lipoprotein cholesterol levels. Results from genetic studies also show that elevated levels of remnant cholesterol are causally associated with both low-grade inflammation and IHD. However, elevated levels of LDL cholesterol are associated with IHD, but not with low-grade inflammation. Such results indicate that elevated LDL cholesterol levels cause atherosclerosis without a major inflammatory component, whereas an inflammatory component of atherosclerosis is driven by elevated remnant cholesterol levels. Post-hoc subgroup analyses of randomized trials using fibrates in individuals with elevated triglyceride levels, elevated remnant cholesterol levels, show a benefit of lowering triglycerides or remnant cholesterol levels; however, large randomized trials with the primary target of lowering remnant cholesterol levels are still missing.
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- 2014
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49. Exome-wide association study of plasma lipids in >300,000 individuals
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Asif Rasheed, Mary F. Feitosa, Ian J. Deary, Melissa E. Garcia, Danish Saleheen, Christian Gieger, Andrea Maschio, Lia E. Bang, Cliona Molony, Ivan Brandslund, Dan M. Roden, Ian Ford, Paul M. Ridker, Alisa K. Manning, Giorgio Pistis, Anette Varbo, Alexander P. Reiner, Kathleen Stirrups, David C. Liewald, Tim D. Spector, Paul W. Franks, Cristen J. Willer, Daniel I. Chasman, Jean Ferrières, Vilmundur Gudnason, Tapani Ebeling, Neil Poulter, Magdalena Zoledziewska, Elizabeth K. Speliotes, Eleftheria Zeggini, Megan L. Grove, Hua Tang, Stavroula Kanoni, Peter Weeke, Panos Deloukas, Daniel J. Rader, Amit Khera, Serena Sanna, Dorota Pasko, Gina M. Peloso, Charles Kooperberg, Suthesh Sivapalaratnam, Natalie R. van Zuydam, Christian M. Shaffer, Fredrik Karpe, Naveed Sattar, Pieter Muntendam, Ruth J. F. Loos, Eric Boerwinkle, Wei Gao, Mark J. Caulfield, Matt Neville, Sangeetha Somayajula, Olle Melander, Hayato Tada, Jose M. Ordovas, He Zhang, John D. Rioux, Michael Boehnke, Erwin P. Bottinger, Franco Giulianini, Martina Müller-Nurasyid, Stella Trompet, Connor A. Emdin, Andrew P. Morris, Johanne Marie Justesen, Alan R. Tall, Kari Kuulasmaa, Adam S. Butterworth, Marie-Pierre Dubé, Dajiang J. Liu, Paul L. Auer, Jennifer E. Huffman, Usman Baber, John Danesh, Xiao Wang, Anna F. Dominiczak, Jarmo Virtamo, John M. Starr, Ozren Polasek, Gonçalo R. Abecasis, Timo A. Lakka, Stephen S. Rich, Marco M Ferrario, Marju Orho-Melander, Xueling Sim, Dominique Arveiler, Dermot F. Reilly, Torsten Lauritzen, Gudny Eiriksdottir, Marit E. Jørgensen, Anubha Mahajan, Colin N. A. Palmer, Veikko Salomaa, Nicholas J. Wareham, Dewan S. Alam, Anne Tybjærg-Hansen, Ellen M. Schmidt, Y. Eugene Chen, Heather M. Stringham, Bruce M. Psaty, Christie M. Ballantyne, Nan Wang, Joshua C. Bis, Myriam Fornage, Neil S Zheng, Kristian Hveem, Praveen Surendran, Yingchang Lu, Peter S. Sever, James B. Meigs, Heikki A. Koistinen, Charlotta Pisinger, Tibor V. Varga, Yii-Der Ida Chen, Konstantin Strauch, Timothy M. Frayling, Patricia B. Munroe, Albert V. Smith, Ruth Frikke-Schmidt, Lorraine Southam, Frida Renström, Philippe Amouyel, Nicholas G. D. Masca, Alexessander Couto Alves, Xiangfeng Lu, Andres Metspalu, Anne Langsted, Joanna M. M. Howson, Tamara B. Harris, Leif Groop, Chad A. Cowan, Cramer Christensen, Audrey Y. Chu, Markku Laakso, Torben Hansen, Li-An Lin, John C. Chambers, Jonas B. Nielsen, Niels Grarup, Neil R. Robertson, Kiran Musunuru, Joshua S. Weinstock, Morris J. Brown, Jean-Claude Tardif, Gorm B. Jensen, Jerome I. Rotter, Harald Grallert, Yan Zhang, Kerrin S. Small, Nathan O. Stitziel, Fabio Busonero, Jennifer Wessel, Themistocles L. Assimes, Lenore J. Launer, Lars G. Fritsche, Mark O. Goodarzi, Peter W.F. Wilson, Sekar Kathiresan, Philippe M. Frossard, Emanuele Di Angelantonio, Yanhua Zhou, James G. Wilson, Frank Kee, Scott M. Damrauer, Weihua Zhang, Gail Davies, Oluf Pedersen, Sune F. Nielsen, Alanna C. Morrison, Raquel S. Sevilla, Helen R. Warren, Johanna Kuusisto, Hanieh Yaghootkar, Sandosh Padmanabhan, Philip S. Tsao, Caroline Hayward, Tõnu Esko, Ming Xu, Anders Mälarstig, Anne U. Jackson, Eirini Marouli, Jette Bork-Jensen, Robin Young, C.J. O'Donnell, Yong Huo, Melanie Waldenberger, Jaspal S. Kooner, Pekka Mäntyselkä, Marjo-Riitta Järvelin, Santhi K. Ganesh, Annette Peters, L. Adrienne Cupples, Wei Zhou, Derek Klarin, Markus Perola, Francesco Cucca, Allan Linneberg, Mark I. McCarthy, Joel N. Hirschhorn, Pia R. Kamstrup, Nilesh J. Samani, J. Wouter Jukema, Valentin Fuster, Claudia Langenberg, Roxana Mehran, Børge G. Nordestgaard, Jaakko Tuomilehto, Reedik Mägi, Blair H. Smith, Johanna Jakobsdottir, Marianne Benn, Kent D. Taylor, Ani Manichaikul, Igor Rudan, Aniruddh P. Patel, Joshua C. Denny, Oddgeir L. Holmen, John M. C. Connell, Robert A. Scott, Haojie Yu, Rajiv Chowdhury, Sehrish Jabeen, Antonella Mulas, Aliki-Eleni Farmaki, Rainer Rauramaa, George Dedoussis, Vascular Medicine, Nielsen, Jonas B [0000-0002-6654-2852], Kathiresan, Sekar [0000-0002-6724-032X], Apollo - University of Cambridge Repository, and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
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0301 basic medicine ,Exome/genetics ,Genome-wide association study ,Type 2 diabetes ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Bioinformatics ,Charge Diabetes Working Group ,Macular Degeneration ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Exome ,Macular Degeneration/blood ,Genetics & Heredity ,Genetic Predisposition to Disease/genetics ,CLONAL HEMATOPOIESIS ,11 Medical And Health Sciences ,CODING-SEQUENCE VARIANTS ,Lipids ,Phenotype ,CARDIOVASCULAR-DISEASE ,VA Million Veteran Program ,lipids (amino acids, peptides, and proteins) ,GOLD Consortium ,LOW-FREQUENCY ,EPIC-InterAct Consortium ,Diabetes Mellitus, Type 2/blood ,Life Sciences & Biomedicine ,Type 2 ,medicine.medical_specialty ,Genotype ,APOBEC-1 COMPLEMENTATION FACTOR ,Biology ,Lower risk ,Article ,EPIC-CVD Consortium ,GENETIC ARCHITECTURE ,03 medical and health sciences ,Coronary Artery Disease/blood ,Diabetes mellitus ,Internal medicine ,Genetics ,medicine ,Diabetes Mellitus ,Journal Article ,Lipolysis ,Humans ,Genetic Predisposition to Disease ,Allele ,TYROSINE KINASE JAK2 ,Genetic Association Studies ,B MESSENGER-RNA ,Science & Technology ,MACULAR DEGENERATION ,MYELOPROLIFERATIVE DISORDERS ,Cholesterol ,Lipids/blood ,Genetic Variation ,06 Biological Sciences ,medicine.disease ,cardiovascular diseases ,genome wide association studies ,Genetic Association Studies/methods ,030104 developmental biology ,Endocrinology ,chemistry ,Diabetes Mellitus, Type 2 ,TM6SF2 ,Developmental Biology - Abstract
We screened DNA sequence variants on an exome-focused genotyping array in >300,000 participants with replication in >280,000 participants and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice revealed lipid changes consistent with the human data. We utilized mapped variants to address four clinically relevant questions and found the following: (1) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease; (2) outside of the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (3) only some mechanisms of lowering LDL-C seemed to increase risk for type 2 diabetes; and (4) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (e.g., TM6SF2, PNPLA3) tracked with higher liver fat, higher risk for type 2 diabetes, and lower risk for coronary artery disease whereas TG-lowering alleles involved in peripheral lipolysis (e.g., LPL, ANGPTL4) had no effect on liver fat but lowered risks for both type 2 diabetes and coronary artery disease.
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- 2017
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50. Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits
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Graham R. S. Ritchie, Massimiliano Cocca, Anette Varbo, Nicholas J. Timpson, George Dedoussis, Michael Boehnke, Marjolein N. Kooijman, Beate St Pourcain, Yasin Memari, André G. Uitterlinden, Andrew A Crawford, Eleftheria Zeggini, Fernando Rivadeneira, Satu Männistö, Caroline L Relton, Yali Xue, Petr Danecek, Kalliope Panoutsopoulou, Albert Hofman, George Davey Smith, María Soler Artigas, Michela Traglia, Josine L. Min, Weihua Zhang, Janine F. Felix, Christopher J Hammond, Claudia Langenberg, Jie Huang, Brian R. Walker, Narinder Bansal, Nigel W. Rayner, Emanuele Di Angelantonio, Kerrin S. Small, Konstantinos Hatzikotoulas, Cecilia M. Lindgren, Alisa K. Manning, Shane A. McCarthy, Susan M. Ring, Marcus E. Kleber, Abhishek Nag, Oliver Stegle, Paul Burton, Oscar H. Franco, William R. Scott, Carolina Medina-Gomez, Valentina Iotchkova, John R. B. Perry, Alireza Moayyeri, Lavinia Paternoster, Marianne Benn, Markus Perola, Katerina Trajanoska, Inês Barroso, Audrey E. Hendricks, Cinzia Sala, Carlo Sidore, Celia M. T. Greenwood, Jeremy Schwartzentruber, Richard Durbin, Cristina Bombieri, Klaudia Walter, Wei-Yu Lin, Hashem A. Shihab, Gialuigi Zaza, Jaspal S. Kooner, Magdalena Zoledziewska, Angela Matchan, Adam S. Butterworth, Pekka Jousilahti, Julia Steinberg, Anne Tybjærg-Hansen, John P. Kemp, Daniel Suveges, Nicole Soranzo, Chris Finan, Veikko Salomaa, Ioanna Ntalla, Nicholas J. Wareham, Adam E. Locke, Vincent W. V. Jaddoe, Ioanna Tachmazidou, Daniela Toniolo, Scott Wilson, Antonella Mulas, Aliki-Eleni Farmaki, Lorraine Southam, Martin D. Tobin, Tom R. Gaunt, Zhongsheng Chen, Paolo Gasparini, Andrew P. Morris, Giovanni Gambaro, John C. Chambers, Børge G. Nordestgaard, Sarah Metrustry, Benjamin Lehne, Jian'an Luan, Giovanni Malerba, Robert A. Scott, Mark I. McCarthy, Michal Szpak, Francesco Cucca, Tim D. Spector, Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, University of Helsinki, Institute for Molecular Medicine Finland, Quantitative Genetics, Tachmazidou, Ioanna, Süveges, Dániel, Min, Josine L., Ritchie, Graham R. S., Steinberg, Julia, Walter, Klaudia, Iotchkova, Valentina, Schwartzentruber, Jeremy, Huang, Jie, Memari, Yasin, Mccarthy, Shane, Crawford, Andrew A., Bombieri, Cristina, Cocca, Massimiliano, Farmaki, Aliki-Eleni, Gaunt, Tom R., Jousilahti, Pekka, Kooijman, Marjolein N., Lehne, Benjamin, Malerba, Giovanni, Männistö, Satu, Matchan, Angela, Medina-Gomez, Carolina, Metrustry, Sarah J., Nag, Abhishek, Ntalla, Ioanna, Paternoster, Lavinia, Rayner, Nigel W., Sala, Cinzia, Scott, William R., Shihab, Hashem A., Southam, Lorraine, St Pourcain, Beate, Traglia, Michela, Trajanoska, Katerina, Zaza, Gialuigi, Zhang, Weihua, Artigas, María S., Bansal, Narinder, Benn, Marianne, Chen, Zhongsheng, Danecek, Petr, Lin, Wei-Yu, Locke, Adam, Luan, Jian'An, Manning, Alisa K., Mulas, Antonella, Sidore, Carlo, Tybjaerg-Hansen, Anne, Varbo, Anette, Zoledziewska, Magdalena, Finan, Chri, Hatzikotoulas, Konstantino, Hendricks, Audrey E., Kemp, John P., Moayyeri, Alireza, Panoutsopoulou, Kalliope, Szpak, Michal, Wilson, Scott G., Boehnke, Michael, Cucca, Francesco, Di Angelantonio, Emanuele, Langenberg, Claudia, Lindgren, Cecilia, Mccarthy, Mark I., Morris, Andrew P., Nordestgaard, Børge G., Scott, Robert A., Tobin, Martin D., Wareham, Nicholas J., Burton, Paul, Chambers, John C., Smith, George Davey, Dedoussis, George, Felix, Janine F., Franco, Oscar H., Gambaro, Giovanni, Gasparini, Paolo, Hammond, Christopher J., Hofman, Albert, Jaddoe, Vincent W. V., Kleber, Marcu, Kooner, Jaspal S., Perola, Marku, Relton, Caroline, Ring, Susan M., Rivadeneira, Fernando, Salomaa, Veikko, Spector, Timothy D., Stegle, Oliver, Toniolo, Daniela, Uitterlinden, André G., Barroso, Inê, Greenwood, Celia M. T., Perry, John R. B., Walker, Brian R., Butterworth, Adam S., Xue, Yali, Durbin, Richard, Small, Kerrin S., Soranzo, Nicole, Timpson, Nicholas J., Zeggini, Eleftheria, McCarthy, Shane [0000-0002-2715-4187], Bansal, Narinder [0000-0002-6925-1719], Luan, Jian'an [0000-0003-3137-6337], Di Angelantonio, Emanuele [0000-0001-8776-6719], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Perry, John [0000-0001-6483-3771], Butterworth, Adam [0000-0002-6915-9015], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository
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Male ,0301 basic medicine ,DXA trait ,Lipodystrophy ,next-generation whole-genome sequencing ,GoT2D Consortium ,LOCI ,Genome-wide association study ,imputation ,anthropometry ,DXA traits ,genetic association study ,UK Biobank ,UK10K ,Body Height ,Cohort Studies ,DNA Methylation ,Databases, Genetic ,Female ,Genetic Variation ,Humans ,Meta-Analysis as Topic ,Obesity ,Physical Chromosome Mapping ,Quantitative Trait Loci ,Sequence Analysis, DNA ,Sex Characteristics ,Syndrome ,United Kingdom ,Anthropometry ,Genome, Human ,Genome-Wide Association Study ,Genetics ,Genetics (clinical) ,Settore MED/03 - GENETICA MEDICA ,DISEASE ,HOMEOBOX GENE ,WIDE ASSOCIATION ,Genetics & Heredity ,Genome ,1184 Genetics, developmental biology, physiology ,11 Medical And Health Sciences ,RARE VARIANTS ,OBESITY ,LOW-FREQUENCY ,Life Sciences & Biomedicine ,Sequence Analysis ,arcOGEN Consortium ,Human ,ADULT HUMAN HEIGHT ,Understanding Society Scientific Group ,Computational biology ,TARGETED DISRUPTION ,Quantitative trait locus ,Biology ,Article ,Databases ,03 medical and health sciences ,Genetic ,Genetic variation ,Journal Article ,UK10K Consortium ,Allele ,Genetic association ,Whole genome sequencing ,Science & Technology ,SpiroMeta Consortium ,DNA ,06 Biological Sciences ,Sex Characteristic ,030104 developmental biology ,Human genome ,3111 Biomedicine ,Cohort Studie ,KNOCKOUT MICE ,Imputation (genetics) - Abstract
Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of twelve anthropometric traits associated with height, body mass and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. Seventy-one percent of signals reside within genes and fine-mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits, and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically-relevant discoveries across the frequency spectrum.
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- 2017
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