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277 results on '"den Ruijter, HM"'

1. Heart failure medication dosage and survival in women and men seen at outpatient clinics

Author

Bots, SH, Onland-Moret, NC, Tulevski, II, van, der Harst P, Cramer, MJM, Asselbergs, FW, Somsen, GA, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, and Cardiology

Subjects
Male, heart failure, Angiotensin-Converting Enzyme Inhibitors, Heart Ventricles/diagnostic imaging, 030204 cardiovascular system & hematology, Ambulatory Care Facilities, Ventricular Function, Left, 0302 clinical medicine, Angiotensin-Converting Enzyme Inhibitors/administration & dosage, Cause of Death, Epidemiology, Ventricular Function, Outpatient clinic, Registries, 030212 general & internal medicine, Mineralocorticoid Receptor Antagonists, Netherlands, Survival Rate/trends, Ejection fraction, Left/physiology, Mineralocorticoid Receptor Antagonists/administration & dosage, Survival Rate, Population study, epidemiology, Female, Guideline Adherence, Drug, Cardiology and Cardiovascular Medicine, medicine.medical_specialty, Heart Ventricles, Adrenergic beta-Antagonists, Cause of Death/trends, Netherlands/epidemiology, Dose-Response Relationship, Angiotensin Receptor Antagonists, 03 medical and health sciences, Internal medicine, medicine, Humans, Medical prescription, Adrenergic beta-Antagonists/administration & dosage, Aged, Retrospective Studies, Heart Failure, Dose-Response Relationship, Drug, Proportional hazards model, business.industry, Stroke Volume, Heart Failure/drug therapy, medicine.disease, Ambulatory Care Facilities/statistics & numerical data, Special Populations, Target dose, electronic health records, Angiotensin Receptor Antagonists/administration & dosage, Stroke Volume/physiology, Heart failure, Ventricular Function, Left/physiology, business, Follow-Up Studies
Abstract

ObjectiveWomen with heart failure with reduced ejection fraction (HFrEF) may reach optimal treatment effect at half of the guideline-recommended medication dose. This study investigates prescription practice and its relation with survival of patients with HF in daily care.MethodsElectronic health record data from 13 Dutch outpatient cardiology clinics were extracted for HF receiving at least one guideline-recommended HF medication. Dose changes over consecutive prescriptions were modelled using natural cubic splines. Inverse probability-weighted Cox regression was used to assess the relationship between dose (reference≥50% target dose) and all-cause mortality.ResultsThe study population comprised 561 women (29% HFrEF (ejection fraction (EF)ConclusionPatients with HF seen in outpatient cardiology clinics receive half of the guideline-recommended medication dose. Lower ACEI/ARB dose was associated with improved survival in women with HFrEF. These results underscore the importance of (re)defining optimal medical therapy for women with HFrEF.

Published
2021

2. Routine clinical care data from thirteen cardiac outpatient clinics: design of the Cardiology Centers of the Netherlands (CCN) database.

Author

Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Bots, SH, Siegersma, KR, Onland-Moret, NC, Asselbergs, FW, Somsen, GA, Tulevski, II, den, Ruijter HM, Hofstra, L, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Bots, SH, Siegersma, KR, Onland-Moret, NC, Asselbergs, FW, Somsen, GA, Tulevski, II, den, Ruijter HM, and Hofstra, L

Published
2021

3. Heart failure medication dosage and survival in women and men seen at outpatient clinics.

Author

Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Bots, SH, Onland-Moret, NC, Tulevski, II, van, der Harst P, Cramer, MJM, Asselbergs, FW, Somsen, GA, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Bots, SH, Onland-Moret, NC, Tulevski, II, van, der Harst P, Cramer, MJM, Asselbergs, FW, Somsen, GA, and den, Ruijter HM

Published
2021

4. Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review.

Author

Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Groepenhoff, F, Klaassen, RGM, Valstar, GB, Bots, SH, Onland-Moret, NC, Den, Ruijter HM, Leiner, T, Eikendal, ALM, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Groepenhoff, F, Klaassen, RGM, Valstar, GB, Bots, SH, Onland-Moret, NC, Den, Ruijter HM, Leiner, T, and Eikendal, ALM

Published
2021

5. Cardiovascular imaging of women and men visiting the outpatient clinic with chest pain or discomfort: design and rationale of the ARGUS Study

Author

Groepenhoff, F, Eikendal, ALM, Bots, SH, van, Ommen AM, Overmars, LM, Kapteijn, D, Pasterkamp, G, Reiber, JHC, Hautemann, D, Menken, R, Wittekoek, ME, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, and Pharmacoepidemiology and Clinical Pharmacology

Abstract

Introduction Chest pain or discomfort affects 20%–40% of the general population over the course of their life and may be a symptom of myocardial ischaemia. For the diagnosis of obstructive macrovascular coronary artery disease (CAD), algorithms have been developed; however, these do not exclude microvascular angina. This may lead to false reassurance of symptomatic patients, mainly women, with functionally significant, yet non-obstructive coronary vascular disease. Therefore, this study aims to estimate the prevalence of both macrovascular and microvascular coronary vascular disease in women and men presenting with chest pain or discomfort, and to subsequently develop a decision-support tool to aid cardiologists in referral to cardiovascular imaging for both macrovascular and microvascular CAD evaluation. Methods and analysis Women and men with chest pain or discomfort, aged 45 years and older, without a history of cardiovascular disease, who are referred to an outpatient cardiology clinic by their general practitioner are eligible for inclusion. Coronary CT angiography is used for anatomical imaging. Additionally, myocardial perfusion imaging by adenosine stress cardiac MRI is performed to detect functionally significant coronary vascular disease. Electronic health record data, collected during regular cardiac work-up, including medical history, cardiovascular risk factors, physical examination, echocardiography, (exercise) ECG and blood samples for standard cardiovascular biomarkers and research purposes, are obtained. Participants will be classified as positive or negative for coronary vascular disease based on all available data by expert panel consensus (a cardiovascular radiologist and two cardiologists). After completion of the clinical study, all collected data will be used to develop a decision support tool using predictive modelling and machine-learning techniques. Ethics and dissemination The study protocol was approved by the Institutional Review Board of the University Medical Center Utrecht. Results will be disseminated through national and international conferences and in peer-reviewed journals in cardiovascular disease. Trial registration number Trialregister.nl Registry NL8702.

Published
2020

6. Cardiovascular imaging of women and men visiting the outpatient clinic with chest pain or discomfort: design and rationale of the ARGUS Study

Author

Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Groepenhoff, F, Eikendal, ALM, Bots, SH, van, Ommen AM, Overmars, LM, Kapteijn, D, Pasterkamp, G, Reiber, JHC, Hautemann, D, Menken, R, Wittekoek, ME, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Groepenhoff, F, Eikendal, ALM, Bots, SH, van, Ommen AM, Overmars, LM, Kapteijn, D, Pasterkamp, G, Reiber, JHC, Hautemann, D, Menken, R, Wittekoek, ME, and den, Ruijter HM

Published
2020

7. Coronary artery disease prediction in women and men using chest pain characteristics and risk factors: an observational study in outpatient clinics

Author

Afd Pharmacoepi & Clinical Pharmacology, Groepenhoff, F, Eikendal, ALM, Onland-Moret, NC, Bots, SH, Menken, R, Tulevski, II, Somsen, AG, Hofstra, L, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, Groepenhoff, F, Eikendal, ALM, Onland-Moret, NC, Bots, SH, Menken, R, Tulevski, II, Somsen, AG, Hofstra, L, and den, Ruijter HM

Published
2020

8. H3K27ac acetylome signatures reveal the epigenomic reorganization in remodeled non-failing human hearts

Author

Pei, JY, Harakalova, M, Treibel, TA, Lumbers, RT, Boukens, BJ, Efimov, IR, van Dinter, JT, Gonzalez, A, Lopez, B, el Azzouzi, H, van den Dungen, N, van Dijk, CGM, Krebber, M M, den Ruijter, HM, Pasterkamp, G, Duncker, Dirk-jan, Nieuwenhuis, EES, de Weger, R, Huibers, MMH, Vink, A, Moore, JH, Moon, JC, Verhaar, MC, Kararigas, G, Mokry, M, Asselbergs, FW, Cheng, Caroline, Pei, JY, Harakalova, M, Treibel, TA, Lumbers, RT, Boukens, BJ, Efimov, IR, van Dinter, JT, Gonzalez, A, Lopez, B, el Azzouzi, H, van den Dungen, N, van Dijk, CGM, Krebber, M M, den Ruijter, HM, Pasterkamp, G, Duncker, Dirk-jan, Nieuwenhuis, EES, de Weger, R, Huibers, MMH, Vink, A, Moore, JH, Moon, JC, Verhaar, MC, Kararigas, G, Mokry, M, Asselbergs, FW, and Cheng, Caroline

Published
2020

9. Evaluation of non-invasive imaging parameters in coronary microvascular disease: a systematic review

Author

Groepenhoff, F, Klaassen, RGM, Valstar, GB, Bots, SH, Onland-Moret, NC, Den, Ruijter HM, Leiner, T, Eikendal, ALM, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, and Oncology

Subjects
medicine.medical_specialty, Noninvasive imaging, lcsh:Medical technology, Coronary flow reserve, Coronary Artery Disease, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, Angina Pectoris, Reference values, Angina, 03 medical and health sciences, 0302 clinical medicine, Sex Factors, Coronary Circulation, Non-invasive imaging, DIAGNOSTIC STANDARD, Medicine, Humans, Coronary microvascular dysfunction, Radiology, Nuclear Medicine and imaging, medicine.diagnostic_test, business.industry, Microcirculation, Correction, Coronary Microvascular Disease, medicine.disease, Coronary arteries, medicine.anatomical_structure, Myocardial perfusion reserve, lcsh:R855-855.5, Positron emission tomography, Echocardiography, Radiology Nuclear Medicine and imaging, Positron-Emission Tomography, Radiology, business, Magnetic Resonance Angiography, Research Article
Abstract

Background Coronary microvascular dysfunction (CMD) is an important underlying cause of angina pectoris. Currently, no diagnostic tool is available to directly visualize the coronary microvasculature. Invasive microvascular reactivity testing is the diagnostic standard for CMD, but several non-invasive imaging techniques are being evaluated. However, evidence on reported non-invasive parameters and cut-off values is limited. Thus, we aimed to provide an overview of reported non-invasive parameters and corresponding cut-off values for CMD. Methods Pubmed and EMBASE databases were systematically searched for studies enrolling patients with angina pectoris without obstructed coronary arteries, investigating at least one non-invasive imaging technique to quantify CMD. Methodological quality assessment of included studies was performed using QUADAS-2. Results Thirty-seven studies were included. Ten cardiac magnetic resonance studies reported MPRI and nine positron emission tomography (PET) and transthoracic echocardiography (TTE) studies reported CFR. Mean MPRI ranged from 1.47 ± 0.36 to 2.01 ± 0.41 in patients and from 1.50 ± 0.47 to 2.68 ± 0.49 in controls without CMD. Reported mean CFR in PET and TTE ranged from 1.39 ± 0.31 to 2.85 ± 1.35 and 1.69 ± 0.40 to 2.40 ± 0.40 for patients, and 2.68 ± 0.83 to 4.32 ± 1.78 and 2.65 ± 0.65 to 3.31 ± 1.10 for controls, respectively. Conclusions This systematic review summarized current evidence on reported parameters and cut-off values to diagnose CMD for various non-invasive imaging modalities. In current clinical practice, CMD is generally diagnosed with a CFR less than 2.0. However, due to heterogeneity in methodology and reporting of outcome measures, outcomes could not be compared and no definite reference values could be provided.

Published
2021

12. Discovery of biomarkers for the presence and progression of left ventricular diastolic dysfunction and HEart faiLure with Preserved ejection Fraction in patients at risk for cardiovascular disease: rationale and design of the HELPFul case-cohort study in a Dutch cardiology outpatient clinic.

Author

UU BETA RESEARCH, Valstar, GB, Bots, SH, Groepenhoff, F, Gohar, A, Rutten, F.H., Leiner, T, Cramer, MJM, Teske, AJ, Suciadi, LP, Menken, R, Pasterkamp, G, Asselbergs, FW, Hofstra, L, den, Ruijter HM, UU BETA RESEARCH, Valstar, GB, Bots, SH, Groepenhoff, F, Gohar, A, Rutten, F.H., Leiner, T, Cramer, MJM, Teske, AJ, Suciadi, LP, Menken, R, Pasterkamp, G, Asselbergs, FW, Hofstra, L, and den, Ruijter HM

Published
2019

13. Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community

Author

Gohar, A, Kievit, RF, Valstar, GB, Hoes, AW, Van Riet, EE, van Mourik, Y, Bertens, L.C.M., Boonman-Winter, LJ, Bots, ML, den Ruijter, HM, Rutten, FH, Queen, H, Gohar, A, Kievit, RF, Valstar, GB, Hoes, AW, Van Riet, EE, van Mourik, Y, Bertens, L.C.M., Boonman-Winter, LJ, Bots, ML, den Ruijter, HM, Rutten, FH, and Queen, H

Published
2019

14. Defining the role of common variation in the genomic and biological architecture of adult human height

Author

Wood, Ar, Esko, T, Yang, J, Vedantam, S, Pers, Th, Gustafsson, S, Chu, Ay, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, Ml, Croteau Chonka DC, Day, Fr, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, Au, Karjalainen, J, Lo, Ks, Locke, Ae, Mägi, R, Mihailov, E, Porcu, E, Randall, Jc, Scherag, A, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Workalemahu, T, Zhao, Jh, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, Gb, Feenstra, B, Feitosa, Mf, Fischer, K, Fraser, Rm, Goel, A, Gong, J, Justice, Ae, Kanoni, S, Kleber, Me, Kristiansson, K, Lim, U, Lotay, V, Lui, Jc, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, Js, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, Rj, Sung, Yj, Tanaka, T, Teumer, A, Trompet, S, van der Laan SW, van Setten, J, Van Vliet Ostaptchouk JV, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Arnlöv, J, Arscott, Gm, Bandinelli, S, Barrett, A, Bellis, C, Bennett, Aj, Berne, C, Blüher, M, Bolton, Jl, Böttcher, Y, Boyd, Ha, Bruinenberg, M, Buckley, Bm, Buyske, S, Caspersen, Ih, Chines, Ps, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, Ew, De Jong PA, Deelen, J, Delgado, G, Denny, Jc, Dhonukshe Rutten, R, Dimitriou, M, Doney, As, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, Me, Geller, F, Giedraitis, V, Go, As, Grallert, H, Grammer, Tb, Gräßler, J, Grönberg, H, de Groot LC, Groves, Cj, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, Ca, Hassinen, M, Hayward, C, Heard Costa NL, Helmer, Q, Hemani, G, Henders, Ak, Hillege, Hl, Hlatky, Ma, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat JJ, Illig, T, Isaacs, A, James, Al, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, An, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, Pk, Mahajan, A, Maillard, M, Mcardle, Wl, Mckenzie, Ca, Mclachlan, S, Mclaren, Pj, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, Kl, Morken, Ma, Müller, G, Müller Nurasyid, M, Musk, Aw, Narisu, N, Nauck, M, Nolte, Im, Nöthen, Mm, Oozageer, L, Pilz, S, Rayner, Nw, Renstrom, F, Robertson, Nr, Rose, Lm, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, Fr, Schunkert, H, Scott, Ra, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, Jh, Smith, Av, Smolonska, J, Stanton, Av, Stirrups, K, Stott, Dj, Stringham, Hm, Sundström, J, Swertz, Ma, Syvänen, Ac, Tayo, Bo, Thorleifsson, G, Tyrer, Jp, van Dijk, S, van Schoor NM, van der Velde, N, van Heemst, D, van Oort FV, Vermeulen, Sh, Verweij, N, Vonk, Jm, Waite, Ll, Waldenberger, M, Wennauer, R, Wilkens, Lr, Willenborg, C, Wilsgaard, T, Wojczynski, Mk, Wong, A, Wright, Af, Zhang, Q, Arveiler, D, Bakker, Sj, Beilby, J, Bergman, Rn, Bergmann, S, Biffar, R, Blangero, J, Boomsma, Di, Bornstein, Sr, Bovet, P, Brambilla, P, Brown, Mj, Campbell, H, Caulfield, Mj, Chakravarti, A, Collins, R, Collins, Fs, Crawford, Dc, Cupples, La, Danesh, J, de Faire, U, den Ruijter HM, Erbel, R, Erdmann, J, Eriksson, Jg, Farrall, M, Ferrannini, Eleuterio, Ferrières, J, Ford, I, Forouhi, Ng, Forrester, T, Gansevoort, Rt, Gejman, Pv, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, Dw, Hall, As, Harris, Tb, Hattersley, At, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hindorff, La, Hingorani, Ad, Hofman, A, Hovingh, Gk, Humphries, Se, Hunt, Sc, Hypponen, E, Jacobs, Kb, Jarvelin, Mr, Jousilahti, P, Jula, Am, Kaprio, J, Kastelein, Jj, Kayser, M, Kee, F, Keinanen Kiukaanniemi SM, Kiemeney, La, Kooner, Js, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, At, Kumari, M, Kuusisto, J, Lakka, Ta, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, Pa, Männistö, S, Manunta, P, Marette, A, Matise, Tc, Mcknight, B, Meitinger, T, Moll, Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Nelis, M, Ohlsson, C, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pasterkamp, G, Peters, A, Pramstaller, Pp, Price, Jf, Qi, L, Raitakari, Ot, Rankinen, T, Rao, Dc, Rice, Tk, Ritchie, M, Rudan, I, Salomaa, V, Samani, Nj, Saramies, J, Sarzynski, Ma, Schwarz, Pe, Sebert, S, Sever, P, Shuldiner, Ar, Sinisalo, J, Steinthorsdottir, V, Stolk, Rp, Tardif, Jc, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, Mc, Electronic Medical Records, Genomics, Consortium, Migen, Consortium, Pagege, Consortium, LifeLines Cohort Study, Amouyel, P, Asselbergs, Fw, Assimes, Tl, Bochud, M, Boehm, Bo, Boerwinkle, E, Bottinger, Ep, Bouchard, C, Cauchi, S, Chambers, Jc, Chanock, Sj, Cooper, Rs, de Bakker PI, Dedoussis, G, Ferrucci, L, Franks, Pw, Froguel, P, Groop, Lc, Haiman, Ca, Hamsten, A, Hayes, Mg, Hui, J, Hunter, Dj, Hveem, K, Jukema, Jw, Kaplan, Rc, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, Ng, März, W, Melbye, M, Moebus, S, Munroe, Pb, Njølstad, I, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Perola, M, Pérusse, L, Peters, U, Powell, Je, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, Pm, Rivadeneira, F, Rotter, Ji, Saaristo, Te, Saleheen, D, Schlessinger, D, Slagboom, Pe, Snieder, H, Spector, Td, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, Nj, Watkins, H, Wichmann, He, Wilson, Jf, Zanen, P, Deloukas, P, Heid, Im, Lindgren, Cm, Mohlke, Kl, Speliotes, Ek, Thorsteinsdottir, U, Barroso, I, Fox, Cs, North, Ke, Strachan, Dp, Beckmann, Js, Berndt, Si, Boehnke, M, Borecki, Ib, Mccarthy, Mi, Metspalu, A, Stefansson, K, Uitterlinden, Ag, van Duijn CM, Franke, L, Willer, Cj, Price, Al, Lettre, G, Loos, Rj, Weedon, Mn, Ingelsson, E, O'Connell, Jr, Abecasis, Gr, Chasman, Di, Goddard, Me, Visscher, Pm, Hirschhorn, Jn, Frayling, T. M., Isotope Research, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Groningen Research Institute for Asthma and COPD (GRIAC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Ehret, Georg Benedikt, Wood, A, Esko, T, Yang, J, Vedantam, S, Pers, T, Gustafsson, S, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, A, Karjalainen, J, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Westra, H, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, A, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Lui, J, Mangino, M, Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, S, Van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, P, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, De Groot, L, Groves, C, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, Van Dijk, S, Van Schoor, N, Van Der Velde, N, Van Heemst, D, Van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, D, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, De Faire, U, Den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, De Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, Van Der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Speliotes, E, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Boehnke, M, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, Van Duijn, C, Franke, L, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Hirschhorn, J, Frayling, T, Medical Research Council (MRC), APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Genomics (eMEMERGEGE) Consortium, MIGen Consortium, PAGEGE Consortium, LifeLines Cohort Study, Electronic Medical, Records, McCarty, CA., Starren, J., Peissig, P., Berg, R., Rasmussen, L., Linneman, J., Miller, A., Choudary, V., Chen, L., Waudby, C., Kitchner, T., Reeser, J., Fost, N., Ritchie, M., Wilke, RA., Chisholm, RL., Avila, PC., Greenland, P., Hayes, M., Kho, A., Kibbe, WA., Lemke, AA., Lowe, WL., Smith, ME., Wolf, WA., Pacheco, JA., Thompson, WK., Humowiecki, J., Law, M., Chute, C., Kullo, I., Koenig, B., de Andrade, M., Bielinski, S., Pathak, J., Savova, G., Wu, J., Henriksen, J., Ding, K., Hart, L., Palbicki, J., Larson, EB., Newton, K., Ludman, E., Spangler, L., Hart, G., Carrell, D., Jarvik, G., Crane, P., Burke, W., Fullerton, SM., Trinidad, SB., Carlson, C., Hutchinson, F., McDavid, A., Roden, DM., Clayton, E., Haines, JL., Masys, DR., Churchill, LR., Cornfield, D., Crawford, D., Darbar, D., Denny, JC., Malin, BA., Ritchie, MD., Schildcrout, JS., Xu, H., Ramirez, AH., Basford, M., Pulley, J., Alizadeh, B., de Boer RA., Boezen, HM., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, HL., van der Klauw MM., Navis, G., Ormel, J., Postma, DS., Rosmalen, JG., Slaets, JP., Snieder, H., Stolk, RP., Wolffenbuttel, BH., Wijmenga, C., Kathiresan, S., Voight, BF., Purcell, S., Musunuru, K., Ardissino, D., Mannucci, PM., Anand, S., Engert, JC., Samani, NJ., Schunkert, H., Erdmann, J., Reilly, MP., Rader, DJ., Morgan, T., Spertus, JA., Stoll, M., Girelli, D., McKeown, PP., Patterson, CC., Siscovick, DS., O'Donnell, CJ., Elosua, R., Peltonen, L., Salomaa, V., Schwartz, SM., Melander, O., Altshuler, D., Merlini, PA., Berzuini, C., Bernardinelli, L., Peyvandi, F., Tubaro, M., Celli, P., Ferrario, M., Fetiveau, R., Marziliano, N., Casari, G., Galli, M., Ribichini, F., Rossi, M., Bernardi, F., Zonzin, P., Piazza, A., Yee, J., Friedlander, Y., Marrugat, J., Lucas, G., Subirana, I., Sala, J., Ramos, R., Meigs, JB., Williams, G., Nathan, DM., MacRae, CA., Havulinna, AS., Berglund, G., Voight, B., Hirschhorn, JN., Asselta, R., Duga, S., Spreafico, M., Daly, MJ., Nemesh, J., Korn, JM., McCarroll, SA., Surti, A., Guiducci, C., Gianniny, L., Mirel, D., Parkin, M., Burtt, N., Gabriel, SB., Thompson, JR., Braund, PS., Wright, BJ., Balmforth, AJ., Ball, SG., Hall, AS., Schunkert, I., Linsel-Nitschke, P., Lieb, W., Ziegler, A., König, IR., Hengstenberg, C., Fischer, M., Stark, K., Grosshennig, A., Preuss, M., Wichmann, HE., Schreiber, S., Ouwehand, W., Deloukas, P., Scholz, M., Cambien, F., Goodall, A., Li, M., Chen, Z., Wilensky, R., Matthai, W., Qasim, A., Hakonarson, HH., Devaney, J., Burnett, MS., Pichard, AD., Kent, KM., Satler, L., Lindsay, JM., Waksman, R., Knouff, CW., Waterworth, DM., Walker, MC., Mooser, V., Epstein, SE., Scheffold, T., Berger, K., Huge, A., Martinelli, N., Olivieri, O., Corrocher, R., König, I., Hólm, H., Thorleifsson, G., Thorsteinsdottir, U., Stefansson, K., Do, R., Xie, C., Siscovick, D., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., North, KE., Heiss, G., Taylor, K., Franceschini, N., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Boerwinkle, E., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Kooperberg, C., Peters, U., Anderson, G., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Psychiatry, Epidemiology and Data Science, EMGO - Lifestyle, overweight and diabetes, Wood, Ar, Pers, Th, Chu, Ay, Buchkovich, Ml, CROTEAU CHONKA, Dc, Day, Fr, Jackson, Au, Locke, Ae, Randall, Jc, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Zhao, Jh, Ehret, Gb, Feitosa, Mf, Fraser, Rm, Justice, Ae, Kleber, Me, Lui, Jc, MATEO LEACH, I, MEDINA GOMEZ, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Strawbridge, Rj, Sung, Yj, VAN DER LAAN, Sw, VAN SETTEN, J, VAN VLIET OSTAPTCHOUK, Jv, Arnlöv, J, Arscott, Gm, Bennett, Aj, Bolton, Jl, Boyd, Ha, Buckley, Bm, Caspersen, Ih, CLAUDI BOEHM, S, Daw, Ew, DE JONG, Pa, Denny, Jc, DHONUKSHE RUTTEN, R, Garcia, Me, Grammer, Tb, DE GROOT, Lc, Groves, Cj, Hartman, Ca, HEARD COSTA, Nl, Henders, Ak, Hillege, Hl, Hlatky, Ma, HOUWING 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Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pramstaller, Pp, Price, Jf, Raitakari, Ot, Rao, Dc, Rice, Tk, Samani, Nj, Sarzynski, Ma, Schwarz, Pe, Shuldiner, Ar, Stolk, Rp, Tardif, Jc, Vohl, Mc, ELECTRONIC MEDICAL RECORDS AND GENOMICS, Consortium, Migen, Consortium, Page, Consortium, LIFELINES COHORT, Study, Asselbergs, Fw, Assimes, Tl, Boehm, Bo, Bottinger, Ep, Chambers, Jc, Chanock, Sj, DE BAKKER, Pi, Franks, Pw, Groop, Lc, Haiman, Ca, Hayes, Mg, Hunter, Dj, Jukema, Jw, Kaplan, Rc, Martin, Ng, Munroe, Pb, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Powell, Je, Ridker, Pm, Rotter, Ji, Saaristo, Te, Slagboom, Pe, Spector, Td, VAN DER HARST, P, Wareham, Nj, Wichmann, He, Wilson, Jf, Heid, Im, Lindgren, Cm, Mohlke, Kl, Speliotes, Ek, North, Ke, Strachan, Dp, Berndt, Si, Borecki, Ib, Mccarthy, Mi, Uitterlinden, Ag, VAN DUIJN, Cm, Willer, Cj, Price, Al, Loos, Rj, Weedon, Mn, O'Connell, Jr, Abecasis, Gr, Chasman, Di, Goddard, Me, Visscher, Pm, Hirschhorn, Jn, Frayling, Tm, Epidemiology, Surgery, Public Health, Internal Medicine, Erasmus MC other, Genetic Identification, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Biological Psychology, AIMMS, Functional Genomics, EMGO+ - Lifestyle, Overweight and Diabetes, Wood, AR, Vadantam, S, Hypponen, Elina, Frayling, TM, Wood A.R., Esko T., Yang J., Vedantam S., Pers T.H., Gustafsson S., Chu A.Y., Estrada K., Luan J., Kutalik Z., Amin N., Buchkovich M.L., Croteau-Chonka D.C., Day F.R., Duan Y., Fall T., Fehrmann R., Ferreira T., Jackson A.U., Karjalainen J., Lo K.S., Locke A.E., Magi R., Mihailov E., Porcu E., Randall J.C., Scherag A., Vinkhuyzen A.A.E., Westra H.-J., Winkler T.W., Workalemahu T., Zhao J.H., Absher D., Albrecht E., Anderson D., Baron J., Beekman M., Demirkan A., Ehret G.B., Feenstra B., Feitosa M.F., Fischer K., Fraser R.M., Goel A., Gong J., Justice A.E., Kanoni S., Kleber M.E., Kristiansson K., Lim U., Lotay V., Lui J.C., Mangino M., Leach I.M., Medina-Gomez C., Nalls M.A., Nyholt D.R., Palmer C.D., Pasko D., Pechlivanis S., Prokopenko I., Ried J.S., Ripke S., Shungin D., Stancakova A., Strawbridge R.J., Sung Y.J., Tanaka T., Teumer A., Trompet S., Van Der Laan S.W., Van Setten J., Van Vliet-Ostaptchouk J.V., Wang Z., Yengo L., Zhang W., Afzal U., Arnlov J., Arscott G.M., Bandinelli S., Barrett A., Bellis C., Bennett A.J., Berne C., Bluher M., Bolton J.L., Bottcher Y., Boyd H.A., Bruinenberg M., Buckley B.M., Buyske S., Caspersen I.H., Chines P.S., Clarke R., Claudi-Boehm S., Cooper M., Daw E.W., De Jong P.A., Deelen J., Delgado G., Denny J.C., Dhonukshe-Rutten R., Dimitriou M., Doney A.S.F., Dorr M., Eklund N., Eury E., Folkersen L., Garcia M.E., Geller F., Giedraitis V., Go A.S., Grallert H., Grammer T.B., Grassler J., Gronberg H., De Groot L.C.P.G.M., Groves C.J., Haessler J., Hall P., Haller T., Hallmans G., Hannemann A., Hartman C.A., Hassinen M., Hayward C., Heard-Costa N.L., Helmer Q., Hemani G., Henders A.K., Hillege 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Schoor N.M., Van Der Velde N., Van Heemst D., Van Oort F.V.A., Vermeulen S.H., Verweij N., Vonk J.M., Waite L.L., Waldenberger M., Wennauer R., Wilkens L.R., Willenborg C., Wilsgaard T., Wojczynski M.K., Wong A., Wright A.F., Zhang Q., Arveiler D., Bakker S.J.L., Beilby J., Bergman R.N., Bergmann S., Biffar R., Blangero J., Boomsma D.I., Bornstein S.R., Bovet P., Brambilla P., Brown M.J., Campbell H., Caulfield M.J., Chakravarti A., Collins R., Collins F.S., Crawford D.C., Cupples L.A., Danesh J., De Faire U., Den Ruijter H.M., Erbel R., Erdmann J., Eriksson J.G., Farrall M., Ferrannini E., Ferrieres J., Ford I., Forouhi N.G., Forrester T., Gansevoort R.T., Gejman P.V., Gieger C., Golay A., Gottesman O., Gudnason V., Gyllensten U., Haas D.W., Hall A.S., Harris T.B., Hattersley A.T., Heath A.C., Hengstenberg C., Hicks A.A., Hindorff L.A., Hingorani A.D., Hofman A., Hovingh G.K., Humphries S.E., Hunt S.C., Hypponen E., Jacobs K.B., Jarvelin M.-R., Jousilahti P., Jula A.M., Kaprio J., Kastelein J.J.P., Kayser M., Kee F., Keinanen-Kiukaanniemi S.M., Kiemeney L.A., Kooner J.S., Kooperberg C., Koskinen S., Kovacs P., Kraja A.T., Kumari M., Kuusisto J., Lakka T.A., Langenberg C., Le Marchand L., Lehtimaki T., Lupoli S., Madden P.A.F., Mannisto S., Manunta P., Marette A., Matise T.C., McKnight B., Meitinger T., Moll F.L., Montgomery G.W., Morris A.D., Morris A.P., Murray J.C., Nelis M., Ohlsson C., Oldehinkel A.J., Ong K.K., Ouwehand W.H., Pasterkamp G., Peters A., Pramstaller P.P., Price J.F., Qi L., Raitakari O.T., Rankinen T., Rao D.C., Rice T.K., Ritchie M., Rudan I., Salomaa V., Samani N.J., Saramies J., Sarzynski M.A., Schwarz P.E.H., Sebert S., Sever P., Shuldiner A.R., Sinisalo J., Steinthorsdottir V., Stolk R.P., Tardif J.-C., Tonjes A., Tremblay A., Tremoli E., Virtamo J., Vohl M.-C., Amouyel P., Asselbergs F.W., Assimes T.L., Bochud M., Boehm B.O., Boerwinkle E., Bottinger E.P., Bouchard C., Cauchi S., Chambers J.C., Chanock S.J., Cooper R.S., De Bakker P.I.W., Dedoussis G., Ferrucci L., Franks P.W., Froguel P., Groop L.C., Haiman C.A., Hamsten A., Hayes M.G., Hui J., Hunter D.J., Hveem K., Jukema J.W., Kaplan R.C., Kivimaki M., Kuh D., Laakso M., Liu Y., Martin N.G., Marz W., Melbye M., Moebus S., Munroe P.B., Njolstad I., Oostra B.A., Palmer C.N.A., Pedersen N.L., Perola M., Perusse L., Peters U., Powell J.E., Power C., Quertermous T., Rauramaa R., Reinmaa E., Ridker P.M., Rivadeneira F., Rotter J.I., Saaristo T.E., Saleheen D., Schlessinger D., Slagboom P.E., Snieder H., Spector T.D., Strauch K., Stumvoll M., Tuomilehto J., Uusitupa M., Van Der Harst P., Volzke H., Walker M., Wareham N.J., Watkins H., Wichmann H.-E., Wilson J.F., Zanen P., Deloukas P., Heid I.M., Lindgren C.M., Mohlke K.L., Speliotes E.K., Thorsteinsdottir U., Barroso I., Fox C.S., North K.E., Strachan D.P., Beckmann J.S., Berndt S.I., Boehnke M., Borecki I.B., McCarthy M.I., Metspalu A., Stefansson K., Uitterlinden A.G., Van Duijn C.M., Franke L., Willer C.J., Price A.L., Lettre G., Loos R.J.F., Weedon M.N., Ingelsson E., O'Connell J.R., Abecasis G.R., Chasman D.I., Goddard M.E., Visscher P.M., Hirschhorn J.N., and Frayling T.M.

Subjects
Netherlands Twin Register (NTR), BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Electronic Medical Records and Genomics (eMEMERGEGE) Consortium, Medizin, Genome-wide association study, Adult, Analysis of Variance, Body Height/genetics, European Continental Ancestry Group/genetics, Genetic Variation/genetics, Genetics, Population, Genome-Wide Association Study/methods, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide/genetics, heritability, 0302 clinical medicine, Genome-wide, SNPS, snps, Genetics & Heredity, ddc:616, Genetics, Medical And Health Sciences, 0303 health sciences, education.field_of_study, variants, GENETIC-VARIATION, Biological Sciences, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], body height, genetic-variation, Life Sciences & Biomedicine, Single Nucleotide/genetics, Human, European Continental Ancestry Group, Population, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, NO, complex traits, 03 medical and health sciences, Genetic variation, heritability, adult, height, Polymorphism, Human height, PAGEGE Consortium, education, Gene, VLAG, 030304 developmental biology, Global Nutrition, Wereldvoeding, genome-wide association study, Science & Technology, Whites, Oligonucleotide Array Sequence Analysi, MUTATIONS, COMPLEX TRAITS, ta1184, Klinisk medicin, population genetics, Genetic Variation, Heritability, ta3121, mutations, Genetic architecture, Body Height, genetic variation, MIGen Consortium, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], Clinical Medicine, 030217 neurology & neurosurgery, height, LifeLines Cohort Study, Developmental Biology, Genome-Wide Association Study
Abstract

Item does not contain fulltext Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

Published
2014

15. Coronary artery disease prediction in women and men using chest pain characteristics and risk factors: an observational study in outpatient clinics

Author

Groepenhoff, F, Eikendal, ALM, Onland-Moret, NC, Bots, SH, Menken, R, Tulevski, II, Somsen, AG, Hofstra, L, den, Ruijter HM, Afd Pharmacoepi & Clinical Pharmacology, Afd Pharmacoepi & Clinical Pharmacology, Cardiology, and ACS - Atherosclerosis & ischemic syndromes

Subjects
Adult, Male, Chest Pain, medicine.medical_specialty, Provocation test, Coronary Artery Disease, Cardiovascular Medicine, Coronary Angiography, Chest pain, Ambulatory Care Facilities, ischaemic heart disease, Coronary artery disease, Risk Factors, adult cardiology, Internal medicine, Humans, Medicine, Outpatient clinic, coronary heart disease, Aged, Netherlands, medicine.diagnostic_test, business.industry, General Medicine, Middle Aged, medicine.disease, Angiography, Population study, Female, Observational study, medicine.symptom, business, Body mass index
Abstract

ObjectivesTo assess the diagnostic value of non-acute chest pain characteristics for coronary artery disease in women and men referred to outpatient cardiology clinics.Design and settingThis is an observational study performed at outpatient cardiology centres of the Netherlands.ParticipantsThe study population consisted of 1028 patients with non-acute chest pain (505 women).Analysis and resultsTwenty-four women (5%) and 75 men (15%) were diagnosed with coronary artery disease by invasive coronary angiography or CT angiography during regular care follow-up. Elastic net regression was performed to assess which chest pain characteristics and risk factors were of diagnostic value. The overall model selected age, provocation by temperature or stress, relief at rest and functional class as determinants and was accurate in both sexes (area under the curve (AUC) of 0.76 (95% CI 0.68 to 0.85) in women and 0.83 (95% CI 0.78 to 0.88) in men). Both sex-specific models selected age, pressuring nature, radiation, duration, frequency, progress, provocation and relief at rest as determinants. The female model additionally selected dyspnoea, body mass index, hypertension and smoking while the male model additionally selected functional class and diabetes. The sex-specific models performed better than the overall model, but more so in women (AUC: 0.89, 95% CI 0.81 to 0.96) than in men (AUC: 0.84, 95% CI 0.73 to 0.90).ConclusionsIn both sexes, the diagnostic value of non-acute chest pain characteristics and risk factors for coronary artery disease was high. Provocation, relief at rest and functional class of chest pain were the most powerful diagnostic predictors in both women and men. When stratified by sex the performance of the model improved, mostly in women.

Published
2020

16. Smoking is Associated to DNA Methylation in Atherosclerotic Carotid Lesions

Author

Siemelink, MA, van der Laan, S.W., Haitjema, S, van Koeverden, ID, Schaap, J, Wesseling, M, de Jager, SCA, Mokry, M, Van Iterson, Maarten, Dekkers, Koen F, Luijk, René, Foroughi Asl, Hassan, Björkegren, Johan L M, Aavik, Einari, Ylä-Herttuala, Seppo, de Borst, GJ, Asselbergs, FW, el Azzouzi, H, den Ruijter, HM, Heijmans, Bastiaan T., Pasterkamp, G, Siemelink, MA, van der Laan, S.W., Haitjema, S, van Koeverden, ID, Schaap, J, Wesseling, M, de Jager, SCA, Mokry, M, Van Iterson, Maarten, Dekkers, Koen F, Luijk, René, Foroughi Asl, Hassan, Björkegren, Johan L M, Aavik, Einari, Ylä-Herttuala, Seppo, de Borst, GJ, Asselbergs, FW, el Azzouzi, H, den Ruijter, HM, Heijmans, Bastiaan T., and Pasterkamp, G

Published
2018

17. Smoking is Associated to DNA Methylation in Atherosclerotic Carotid Lesions

Author

Experimentele Afd. Cardiologie 1, Circulatory Health, Divisie Biomedische Genetica, Onderzoek Vrouw Hart & Vaatziekten, Team Medisch, Cardiologie, MDL onderzoek 1, Child Health, Brain, Zorgeenheid Vaatchirurgie Medisch, CDL Staf Research, Experimentele Afd. Cardiologie 2, Cardiovasculaire Immunologie, Infection & Immunity, Onderzoek Cardiovasculair Reg. Med., Siemelink, MA, van der Laan, S.W., Haitjema, S, van Koeverden, ID, Schaap, J, Wesseling, M, de Jager, SCA, Mokry, M, Van Iterson, Maarten, Dekkers, Koen F, Luijk, René, Foroughi Asl, Hassan, Björkegren, Johan L M, Aavik, Einari, Ylä-Herttuala, Seppo, de Borst, GJ, Asselbergs, FW, el Azzouzi, H, den Ruijter, HM, Heijmans, Bastiaan T., Pasterkamp, G, Experimentele Afd. Cardiologie 1, Circulatory Health, Divisie Biomedische Genetica, Onderzoek Vrouw Hart & Vaatziekten, Team Medisch, Cardiologie, MDL onderzoek 1, Child Health, Brain, Zorgeenheid Vaatchirurgie Medisch, CDL Staf Research, Experimentele Afd. Cardiologie 2, Cardiovasculaire Immunologie, Infection & Immunity, Onderzoek Cardiovasculair Reg. Med., Siemelink, MA, van der Laan, S.W., Haitjema, S, van Koeverden, ID, Schaap, J, Wesseling, M, de Jager, SCA, Mokry, M, Van Iterson, Maarten, Dekkers, Koen F, Luijk, René, Foroughi Asl, Hassan, Björkegren, Johan L M, Aavik, Einari, Ylä-Herttuala, Seppo, de Borst, GJ, Asselbergs, FW, el Azzouzi, H, den Ruijter, HM, Heijmans, Bastiaan T., and Pasterkamp, G

Published
2018

18. Biological interpretation of genome-wide association studies using predicted gene functions

Author

Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Frayling T.M., Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Wood, AR., Esko, T., Yang, J., Vedantam, S., Pers, TH., Gustafsson, S., Chu, AY., Estrada, K., Luan£££Jian'an£££ J., Kutalik£££Zoltán£££ Z., Amin, N., Buchkovich, ML., Croteau-Chonka, DC., Day, FR., Duan, Y., Fall, T., Fehrmann, R., Ferreira, T., Jackson, AU., Karjalainen, J., Lo, KS., Locke, AE., Mägi, R., Mihailov, E., Porcu, E., Randall, JC., Scherag, A., Vinkhuyzen, AA., Westra, HJ., Winkler, TW., Workalemahu, T., Zhao, JH., Absher, D., Albrecht, E., 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Garcia, ME., Geller, F., Giedraitis, V., Go, AS., Grallert, H., Grammer, TB., Gräßler, J., Grönberg, H., de Groot LC., Groves, CJ., Haessler, J., Haller, T., Hallmans, G., Hannemann, A., Hartman, CA., Hassinen, M., Hayward, C., Heard-Costa, NL., Helmer, Q., Hemani, G., Henders, AK., Hillege, HL., Hlatky, MA., Hoffmann, W., Hoffmann, P., Holmen, O., Houwing-Duistermaat, JJ., Illig, T., Isaacs, A., James, AL., Jeff, J., Johansen, B., Johansson£££Åsa£££ Å., Jolley, J., Juliusdottir, T., Junttila, J., Kho, AN., Kinnunen, L., Klopp, N., Kocher, T., Kratzer, W., Lichtner, P., Lind, L., Lindström, J., Lobbens, S., Lorentzon, M., Lu, Y., Lyssenko, V., Magnusson, PK., Mahajan, A., Maillard, M., McArdle, WL., McKenzie, CA., McLachlan, S., McLaren, PJ., Menni, C., Merger, S., Milani, L., Moayyeri, A., Monda, KL., Morken, MA., Müller, G., Müller-Nurasyid, M., Musk, AW., Narisu, N., Nauck, M., Nolte, IM., Nöthen, MM., Oozageer, L., Pilz, S., Rayner, NW., Renstrom, F., Robertson, NR., Rose, LM., Roussel, R., Sanna, S., Scharnagl, H., Scholtens, S., Schumacher, FR., Schunkert, H., Scott, RA., Sehmi, J., Seufferlein, T., Shi, J., Silventoinen, K., Smit, JH., Smith, AV., Smolonska, J., Stanton, AV., Stirrups, K., Stott, DJ., Stringham, HM., Sundström, J., Swertz, MA., Syvänen, AC., Tayo, BO., Thorleifsson, G., Tyrer, JP., van Dijk, S., van Schoor NM., van der Velde, N., van Heemst, D., van Oort FV., Vermeulen, SH., Verweij, N., Vonk, JM., Waite, LL., Waldenberger, M., Wennauer, R., Wilkens, LR., Willenborg, C., Wilsgaard, T., Wojczynski, MK., Wong, A., Wright, AF., Zhang, Q., Arveiler, D., Bakker, SJ., Beilby, J., Bergman, RN., Bergmann, S., Biffar, R., Blangero, J., Boomsma, I., Bornstein, SR., Bovet, P., Brambilla, P., Brown, MJ., Campbell, H., Caulfield, MJ., Chakravarti, A., Collins, R., Collins, FS., Crawford, DC., Cupples, LA., Danesh, J., de Faire, U., den Ruijter HM., Erbel, R., Erdmann, J., Eriksson, JG., Farrall, M., Ferrannini, E., Ferrières, J., Ford, I., Forouhi, NG., Forrester, T., Gansevoort, RT., Gejman, PV., Gieger, C., Golay, A., Gottesman, O., Gudnason, V., Gyllensten, U., Haas, DW., Hall, AS., Harris, TB., Hattersley, AT., Heath, AC., Hengstenberg, C., Hicks, AA., Hindorff, LA., Hingorani, AD., Hofman, A., Hovingh, GK., Humphries, SE., Hunt, SC., Hypponen, E., Jacobs, KB., Jarvelin, MR., Jousilahti, P., Jula, AM., Kaprio, J., Kastelein, JJ., Kayser, M., Kee, F., Keinanen-Kiukaanniemi, SM., Kiemeney, LA., Kooner, JS., Kooperberg, C., Koskinen, S., Kovacs, P., Kraja, AT., Kumari, M., Kuusisto, J., Lakka, TA., Langenberg, C., Le Marchand, L., Lehtimäki, T., Lupoli, S., Madden, PA., Männistö, S., Manunta, P., Marette, A., Matise, TC., McKnight, B., Meitinger, T., Moll, FL., Montgomery, GW., Morris, AD., Morris, AP., Murray, JC., Nelis, M., Ohlsson, C., Oldehinkel, AJ., Ong, KK., Ouwehand, WH., Pasterkamp, G., Peters, A., Pramstaller, PP., Price, JF., Qi, L., Raitakari, OT., Rankinen, T., Rao, DC., Rice, TK., Ritchie, M., Rudan, I., Salomaa, V., Samani, NJ., Saramies, J., Sarzynski, MA., Schwarz, PE., Sebert, S., Sever, P., Shuldiner, AR., Sinisalo, J., Steinthorsdottir, V., Stolk, RP., Tardif, JC., Tönjes, A., Tremblay, A., Tremoli, E., Virtamo, J., Vohl, MC., Amouyel, P., Asselbergs, FW., Assimes, TL., Bochud, M., Boehm, BO., Boerwinkle, E., Bottinger, EP., Bouchard, C., Cauchi, S., Chambers, JC., Chanock, SJ., Cooper, RS., de Bakker PI., Dedoussis, G., Ferrucci, L., Franks, PW., Froguel, P., Groop, LC., Haiman, CA., Hamsten, A., Hayes, MG., Hui, J., Hunter, DJ., Hveem, K., Jukema, JW., Kaplan, RC., Kivimaki, M., Kuh, D., Laakso, M., Liu, Y., Martin, NG., März, W., Melbye, M., Moebus, S., Munroe, PB., Njølstad, I., Oostra, BA., Palmer, CN., Pedersen, NL., Perola, M., Pérusse, L., Peters, U., Powell, JE., Power, C., Quertermous, T., Rauramaa, R., Reinmaa, E., Ridker, PM., Rivadeneira, F., Rotter, JI., Saaristo, TE., Saleheen, D., Schlessinger, D., Slagboom, PE., Snieder, H., Spector, TD., Strauch, K., Stumvoll, M., Tuomilehto, J., Uusitupa, M., van der Harst, P., Völzke, H., Walker, M., Wareham, NJ., Watkins, H., Wichmann, HE., Wilson, JF., Zanen, P., Deloukas, P., Heid, IM., Lindgren, CM., Mohlke, KL., Speliotes, EK., Thorsteinsdottir, U., Barroso£££Inês£££ I., Fox, CS., North, KE., Strachan, DP., Beckmann, JS., Berndt, SI., Boehnke, M., Borecki, IB., McCarthy, MI., Metspalu, A., Stefansson, K., Uitterlinden, AG., van Duijn CM., Franke, L., Willer, CJ., Price, AL., Lettre, G., Loos, RJ., Weedon, MN., Ingelsson, E., O'Connell, JR., Abecasis, GR., Chasman, DI., Goddard, ME., Visscher, PM., Hirschhorn, JN., Frayling, TM., Clinicum, Jaakko Kaprio / Principal Investigator, Department of Public Health, Institute for Molecular Medicine Finland, Genetic Epidemiology, Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Pers, Th, Karjalainen, Jm, Westra, Hj, Wood, Ar, Lui, Jc, Speliotes, Ek, Hirschhorn, Jn, and Faculty of Health Sciences

Subjects
Cell type, Candidate gene, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, LOCI, General Physics and Astronomy, Genome-wide association study, Disease, Computational biology, Biology, Research Support, General Biochemistry, Genetics and Molecular Biology, Article, DISEASE, N.I.H, CANDIDATE GENES, Genome-Wide Association Study/methods, Software, HEIGHT, Research Support, N.I.H., Extramural, Genetics, Journal Article, NETWORK, Non-U.S. Gov't, Gene, COMMON, Intramural, ARCHITECTURE, Biochemistry, Genetics and Molecular Biology (all), Multidisciplinary, IDENTIFICATION, ta1184, Research Support, Non-U.S. Gov't, Gene sets, Extramural, General Chemistry, ta3121, Research Support, N.I.H., Intramural, Phenotype, 3142 Public health care science, environmental and occupational health, Biological sciences, DATA SETS, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Identification (biology), INTEGRATION, Genome-Wide Association Study
Abstract

Article, The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes., published version, http://purl.org/eprint/status/PeerReviewed

Published
2015

19. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author

Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, V A, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renstrom, F, Wu, J, Qi, QB, Ahmad, Shahzad, Alfred, T, Amin, Najaf, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Harder, MN, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikainen, LP, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Mueller-Nurasyid, M, Navarro, P, Perusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stancakova, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, van der Laan, SW, van der Most, PJ, van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N (Niek), Vink, JM, Vitart, V, Wu, Fenny, Yengo, L, Zhang, WH, Zhao, JH, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, de Borst, GJ, de Craen, AJM, de Geus, EJC, Dedoussis, G, Delgado, GE, den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Hottenga, JJ, Huang, J, Hung, J, Hutri-Kahonen, N, Ingelsson, E, James, AL, Jansson, JO, Jarvelin, MR, Jhun, MA, Jorgensen, ME, Juonala, M, Kahonen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Kramer, BK, Kuusisto, J, Kvaloy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Mannikko, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellstrom, D, Menni, C, Montgomery, GW, Musk, AW, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, s, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE (Eline), Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, André, Vandenput, L, Vohl, MC, Volzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, M.C., Baldassarre, D, Balkau, B, Bandinelli, S, Boger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, YDI, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, de Faire, U, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, HJ, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Jukema, W, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimaki, T, Le Marchand, L, Marz, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sorensen, TIA, Strauch, K, Tiemeier, Henning, Tremoli, E, van der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Duijn, Cornelia, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpelainen, TO, Liu, CT, Borecki, IB, North, KE, Cupples, LA, Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, V A, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renstrom, F, Wu, J, Qi, QB, Ahmad, Shahzad, Alfred, T, Amin, Najaf, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Harder, MN, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikainen, LP, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Mueller-Nurasyid, M, Navarro, P, Perusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stancakova, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, van der Laan, SW, van der Most, PJ, van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N (Niek), Vink, JM, Vitart, V, Wu, Fenny, Yengo, L, Zhang, WH, Zhao, JH, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, de Borst, GJ, de Craen, AJM, de Geus, EJC, Dedoussis, G, Delgado, GE, den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Hottenga, JJ, Huang, J, Hung, J, Hutri-Kahonen, N, Ingelsson, E, James, AL, Jansson, JO, Jarvelin, MR, Jhun, MA, Jorgensen, ME, Juonala, M, Kahonen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Kramer, BK, Kuusisto, J, Kvaloy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Mannikko, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellstrom, D, Menni, C, Montgomery, GW, Musk, AW, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, s, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE (Eline), Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, André, Vandenput, L, Vohl, MC, Volzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, M.C., Baldassarre, D, Balkau, B, Bandinelli, S, Boger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, YDI, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, de Faire, U, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, HJ, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Jukema, W, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimaki, T, Le Marchand, L, Marz, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sorensen, TIA, Strauch, K, Tiemeier, Henning, Tremoli, E, van der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Duijn, Cornelia, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpelainen, TO, Liu, CT, Borecki, IB, North, KE, and Cupples, LA

Published
2017

20. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

Author

Leeuwen, Elisa, Sabo, A, Bis, JC, Huffman, JE, Manichaikul, A, Smith, AV, Feitosa, MF, Demissie, S, Joshi, PK, Duan, Q, Marten, J, van Klinken, JB, Surakka, I, Nolte, IM, Zhang, WH, Mbarek, H, Li-Gao, RF, Trompet, S, Verweij, N, Evangelou, E, Lyytikainen, LP, Tayo, BO, Deelen, J, van der Most, PJ, van der Laan, SW, Arking, DE, Morrison, A, Dehghan, Abbas, Franco Duran, OH, Hofman, Bert, Rivadeneira, Fernando, Sijbrands, E.J.G., Uitterlinden, André, Mychaleckyj, JC, Campbell, A (Archie), Hocking, LJ, Padmanabhan, S, Brody, JA, Rice, KM, White, CC, Harris, T, Isaacs, Aaron, Campbell, H, Lange, LA, Rudan, I, Kolcic, I, Navarro, P, Zemunik, T, Salomaa, V, Kooner, AS, Kooner, JS, Lehne, B, Scott, WR, Tan, ST, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Willemsen, G, de Mutsert, R, Ford, I, Gansevoort, RT, Segura-Lepe, M P, Raitakari, OT, Viikari, JS, Nikus, K, Forrester, T, McKenzie, CA, de Craen, AJM, den Ruijter, HM, Pasterkamp, G, Snieder, H, Oldehinkel, AJ, Slagboom, PE (Eline), Cooper, RS, Kahonen, M, Lehtimaki, T, Elliott, P, van der Harst, P, Jukema, JW, Mook-Kanamori, DO, Boomsma, DI, Chambers, JC, Swertz, M, Ripatti, S, van Dijk, KW, Vitart, V, Polasek, O, Hayward, C, Wilson, JG, Wilson, JF, Gudnason, V, Rich, SS, Psaty, BM, Borecki, IB, Boerwinkle, E, Rotter, JI, Cupples, LA, Duijn, Cornelia, Leeuwen, Elisa, Sabo, A, Bis, JC, Huffman, JE, Manichaikul, A, Smith, AV, Feitosa, MF, Demissie, S, Joshi, PK, Duan, Q, Marten, J, van Klinken, JB, Surakka, I, Nolte, IM, Zhang, WH, Mbarek, H, Li-Gao, RF, Trompet, S, Verweij, N, Evangelou, E, Lyytikainen, LP, Tayo, BO, Deelen, J, van der Most, PJ, van der Laan, SW, Arking, DE, Morrison, A, Dehghan, Abbas, Franco Duran, OH, Hofman, Bert, Rivadeneira, Fernando, Sijbrands, E.J.G., Uitterlinden, André, Mychaleckyj, JC, Campbell, A (Archie), Hocking, LJ, Padmanabhan, S, Brody, JA, Rice, KM, White, CC, Harris, T, Isaacs, Aaron, Campbell, H, Lange, LA, Rudan, I, Kolcic, I, Navarro, P, Zemunik, T, Salomaa, V, Kooner, AS, Kooner, JS, Lehne, B, Scott, WR, Tan, ST, de Geus, EJ, Milaneschi, Y, Penninx, BWJH, Willemsen, G, de Mutsert, R, Ford, I, Gansevoort, RT, Segura-Lepe, M P, Raitakari, OT, Viikari, JS, Nikus, K, Forrester, T, McKenzie, CA, de Craen, AJM, den Ruijter, HM, Pasterkamp, G, Snieder, H, Oldehinkel, AJ, Slagboom, PE (Eline), Cooper, RS, Kahonen, M, Lehtimaki, T, Elliott, P, van der Harst, P, Jukema, JW, Mook-Kanamori, DO, Boomsma, DI, Chambers, JC, Swertz, M, Ripatti, S, van Dijk, KW, Vitart, V, Polasek, O, Hayward, C, Wilson, JG, Wilson, JF, Gudnason, V, Rich, SS, Psaty, BM, Borecki, IB, Boerwinkle, E, Rotter, JI, Cupples, LA, and Duijn, Cornelia

Published
2016

21. Cystatin C and Cardiovascular Disease A Mendelian Randomization Study

Author

van der Laan, SW, Fall, T, Soumare, A, Teumer, A, Sedaghat, Sanaz, Baumert, J, Zabaneh, D, van Setten, J, Isgum, I, Galesloot, TE, Arpegard, J, Amouyel, P, Trompet, S, Waldenberger, M, Dorr, M, Magnusson, PK, Giedraitis, V, Larsson, A, Morris, AP, Felix, Janine, Morrison, AC, Franceschini, N, Bis, JC, Kavousi, Maryam, O'Donnell, C, Drenos, F, Tragante, V, Munroe, PB, Malik, R, Dichgans, M, Worrall, BB, Erdmann, J, Nelson, CP, Samani, NJ, Schunkert, H, Marchini, J, Patel, RS, Hingorani, AD, Lind, L, Pedersen, NL, van der Graaf, J, Kiemeney, LALM, Baumeister, SE, Franco Duran, OH, Hofman, Bert, Uitterlinden, André, Koenig, W, Meisinger, C, Peters, A, Thorand, B, Jukema, JW, Eriksen, B O, Toft, I, Wilsgaard, T, Onland-Moret, NC, van der Schouw, YT, Debette, S, Kumari, M, Svensson, P, van der Harst, P, Kivimaki, M, Keating, BJ, Sattar, N, Dehghan, Abbas, Reiner, AP, Ingelsson, E, den Ruijter, HM, de Bakker, PIW, Pasterkamp, G, Arnlov, J, Holmes, MV, Asselbergs, FW, van der Laan, SW, Fall, T, Soumare, A, Teumer, A, Sedaghat, Sanaz, Baumert, J, Zabaneh, D, van Setten, J, Isgum, I, Galesloot, TE, Arpegard, J, Amouyel, P, Trompet, S, Waldenberger, M, Dorr, M, Magnusson, PK, Giedraitis, V, Larsson, A, Morris, AP, Felix, Janine, Morrison, AC, Franceschini, N, Bis, JC, Kavousi, Maryam, O'Donnell, C, Drenos, F, Tragante, V, Munroe, PB, Malik, R, Dichgans, M, Worrall, BB, Erdmann, J, Nelson, CP, Samani, NJ, Schunkert, H, Marchini, J, Patel, RS, Hingorani, AD, Lind, L, Pedersen, NL, van der Graaf, J, Kiemeney, LALM, Baumeister, SE, Franco Duran, OH, Hofman, Bert, Uitterlinden, André, Koenig, W, Meisinger, C, Peters, A, Thorand, B, Jukema, JW, Eriksen, B O, Toft, I, Wilsgaard, T, Onland-Moret, NC, van der Schouw, YT, Debette, S, Kumari, M, Svensson, P, van der Harst, P, Kivimaki, M, Keating, BJ, Sattar, N, Dehghan, Abbas, Reiner, AP, Ingelsson, E, den Ruijter, HM, de Bakker, PIW, Pasterkamp, G, Arnlov, J, Holmes, MV, and Asselbergs, FW

Published
2016

22. Biological interpretation of genome-wide association studies using predicted gene functions

Author

Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Frayling T.M., Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma I, Bornstein SR, Bovet P, BRAMBILLA, PAOLO, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, and Frayling T.M.

Abstract

The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.

Published
2015

23. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author

Winkler, TW, Justice, AE, Graff, M, Barata, L, Feitosa, MF, Chu, S, Czajkowski, J, Esko, T, Fall, T, Kilpelainen, TO, Lu, YC, Magi, R, Mihailov, E, Pers, TH, Rueger, S, Teumer, A, Ehret, GB, Ferreira, T, Heard-Costa, NL, Karjalainen, J, Lagou, V, Mahajan, A, Neinast, MD, Prokopenko, I, Simino, J, Teslovich, TM, Jansen, R, Westra, HJ, White, CC, Absher, D, Ahluwalia, TS, Ahmad, Shahzad, Albrecht, E, Alves, AC, Bragg-Gresham, JL, de Craen, AJM, Bis, JC, Bonnefond, A, Boucher, G, Cadby, G, Cheng, YC, Chiang, CWK, Delgado, G, Demirkan, Ayse, Dueker, N, Eklund, N, Eiriksdottir, G, Eriksson, J, Feenstra, B, Fischer, K (Kirsten), Frau, F, Galesloot, TE, Geller, F, Goel, A, Gorski, M, Grammer, TB, Gustafsson, S, Haitjema, S, Hottenga, JJ (Jouke Jan), Huffman, JE, Jackson, AU, Jacobs, KB, Johansson, A, Kaakinen, M, Kleber, ME, Lahti, J, Leach, IM, Lehne, B, Liu, YF, Lo, KS, Lorentzon, M, Luan, J, Madden, PAF, Mangino, M, McKnight, B, Medina Gomez, Maria, Monda, KL, Montasser, ME, Muller, G, Muller-Nurasyid, M, Nolte, IM (Ilja), Panoutsopoulou, K, Pascoe, L, Paternoster, L, Rayner, NW, Renstrom, F, Rizzi, F, Rose, LM, Ryan, KA, Salo, P, Sanna, S, Scharnagl, H, Shi, JX, Smith, AV, Southam, L, Stancakova, A, Steinthorsdottir, V, Strawbridge, RJ, Sung, YJ, Tachmazidou, I, Tanaka, T, Thorleifsson, G, Trompet, S, Pervjakova, N, Tyrer, JP, Vandenput, L, Laan, Sander, van der Velde, Nathalie, van Setten, J, van Vliet-Ostaptchouk, JV, Verweij, N (Niek), Vlachopoulou, E, Waite, LL, Wang, SR, Wang, ZM, Wild, SH, Willenborg, C, Wilson, JF, Wong, A, Yang, Jiaqi, Yengo, L, Yerges-Armstrong, LM, Yu, L, Zhang, WH, Zhao, JH, Andersson, EA, Bakker, SJL, Baldassarre, D, Banasik, K, Barcella, M, Barlassina, C, Bellis, C, Benaglio, P, Blangero, J, Bluher, M, Bonnet, F, Bonnycastle, LL, Boyd, HA, Bruinenberg, M, Buchman, AS, Campbell, H, Chen, YDI, Chines, PS, Claudi-Boehm, S, Cole, J, Collins, FS, de Geus, EJC, de Groot, LCPGM (Lisette), Dimitriou, M, Duan, J, Enroth, S, Eury, E, Farmaki, AE, Forouhi, NG, Friedrich, N, Gejman, PV, Gigante, B, Glorioso, N, Go, AS, Gottesman, O, Grassler, J, Grallert, H, Grarup, N, Gu, YM, Broer, Linda, Ham, Annelies, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, N, Hattersley, AT, Heath, AC, Henders, AK, Hernandez, D, Hillege, H, Holmen, O, Hovingh, KG, Hui, J, Husemoen, LL, Hutri-Kahonen, N, Hysi, PG, Illig, T, De Jager, PL, Jalilzadeh, S, Jorgensen, T, Jukema, JW, Juonala, M, Kanoni, S, Karaleftheri, M, Khaw, KT, Kinnunen, L, Kittner, SJ, Koenig, W, Kolcic, I, Kovacs, P, Krarup, NT, Kratzer, W, Kruger, J, Kuh, D, Kumari, M, Kyriakou, T, Langenberg, C, Lannfelt, L, Lanzani, C, Lotay, V, Launer, LJ (Lenore), Leander, K, Lindstrom, J, Linneberg, A, Liu, YP, Lobbens, S, Luben, R, Lyssenko, V, Mannisto, S, Magnusson, PK, McArdle, WL, Menni, C, Merger, S, Milani, L, Montgomery, GW, Morris, AP, Narisu, N, Nelis, M, Ong, KK, Palotie, A, Perusse, L, Pichler, I, Pilia, MG, Pouta, A, Rheinberger, M, Ribel-Madsen, R, Richards, M, Rice, KM, Rice, TK, Rivolta, C, Salomaa, V, Sanders, AR, Sarzynski, MA, Scholtens, s, Scott, RA, Scott, WR, Sebert, S, Sengupta, S, Sennblad, B, Seufferlein, T, Silveira, A, Slagboom, PE (Eline), Smit, JH, Sparso, TH, Stirrups, K, Stolk, RP (Ronald), Stringham, HM, Swertz, MA, Swift, AJ, Syvanen, AC, Tan, ST, Thorand, B, Tonjes, A, Tremblay, A, Tsafantakis, E, van der Most, PJ, Volker, U, Vohl, MC, Vonk, JM, Waldenberger, M, Walker, RW, Wennauer, R, Widen, E, Willemsen, G, Wilsgaard, T, Wright, AF, Zillikens, M.C., Boon - van Dijk, Suzanne, Schoor, NM, Asselbergs, FW, de Bakker, PIW, Beckmann, JS, Beilby, J, Bennett, DA, Bergman, RN, Bergmann, S, Boger, CA, Boehm, BO, Boerwinkle, E, Boomsma, DI, Bornstein, SR, Bottinger, EP, Bouchard, C, Chambers, JC, Chanock, SJ, Chasman, DI, Cucca, F, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, JG, Evans, DA, de Faire, U, Farrall, M, Ferrucci, L, Ford, I, Franke, L, Franks, PW, Froguel, P, Gansevoort, RT, Gieger, C, Gronberg, H, Gudnason, V, Gyllensten, U, Hall, P, Hamsten, A, van der Harst, P, Hayward, C, Heliovaara, M, Hengstenberg, C, Hicks, AA, Hingorani, A, Hofman, Bert, Hu, F, Huikuri, HV, Hveem, K, James, AL, Jordan, JM, Jula, A, Kahonen, M, Kajantie, E, Kathiresan, S, Kiemeney, LALM, Kivimaki, M, Knekt, PB, Koistinen, HA, Kooner, JS, Koskinen, S, Kuusisto, J, Maerz, W, Martin, NG, Laakso, M, Lakka, TA, Lehtimaki, T, Lettre, G, Levinson, DF, Lind, L, Lokki, ML, Mantyselka, P, Melbye, M, Metspalu, A, Mitchell, BD, Moll, FL, Murray, JC, Musk, AW, Nieminen, MS, Njolstad, I, Ohlsson, C, Oldehinkel, AJ (A.), Oostra, Ben, Palmer, LJ, Pankow, JS, Pasterkamp, G, Pedersen, NL, Pedersen, O, Penninx, BW, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Psaty, BM, Qi, L, Quertermous, T, Raitakari, OT, Rankinen, T, Rauramaa, R, Ridker, PM, Rioux, JD, Rivadeneira, Fernando, Rotter, JI, Rudan, I, den Ruijter, HM, Saltevo, J, Sattar, N, Schunkert, H, Schwarz, PEH, Shuldiner, AR, Sinisalo, J, Snieder, H, Sorensen, TIA, Spector, TD, Staessen, JA, Stefania, B, Thorsteinsdottir, U, Stumvoll, M, Tardif, JC, Tremoli, E, Tuomilehto, J, Uitterlinden, André, Uusitupa, M, Verbeek, ALM, Vermeulen, SH, Viikari, JS, Vitart, V, Volzke, H, Vollenweider, P, Waeber, G, Walker, M, Wallaschofski, H, Wareham, NJ, Watkins, H, Zeggini, E, Chakravarti, A, Clegg, DJ, Cupples, LA, Gordon-Larsen, P, Jaquish, CE, Rao, DC, Abecasis, GR, Assimes, TL, Barroso, I, Berndt, SI, Boehnke, M, Deloukas, P, Fox, CS, Groop, LC, Hunter, DJ, Ingelsson, E, Kaplan, RC, McCarthy, MI, Mohlke, KL, O'Connell, JR, Schlessinger, D, Strachan, DP, Stefansson, K, Duijn, Cornelia, Hirschhorn, JN, Lindgren, CM, Heid, IM, North, KE, Borecki, IB, Kutalik, Z, Loos, RJF, Winkler, TW, Justice, AE, Graff, M, Barata, L, Feitosa, MF, Chu, S, Czajkowski, J, Esko, T, Fall, T, Kilpelainen, TO, Lu, YC, Magi, R, Mihailov, E, Pers, TH, Rueger, S, Teumer, A, Ehret, GB, Ferreira, T, Heard-Costa, NL, Karjalainen, J, Lagou, V, Mahajan, A, Neinast, MD, Prokopenko, I, Simino, J, Teslovich, TM, Jansen, R, Westra, HJ, White, CC, Absher, D, Ahluwalia, TS, Ahmad, Shahzad, Albrecht, E, Alves, AC, Bragg-Gresham, JL, de Craen, AJM, Bis, JC, Bonnefond, A, Boucher, G, Cadby, G, Cheng, YC, Chiang, CWK, Delgado, G, Demirkan, Ayse, Dueker, N, Eklund, N, Eiriksdottir, G, Eriksson, J, Feenstra, B, Fischer, K (Kirsten), Frau, F, Galesloot, TE, Geller, F, Goel, A, Gorski, M, Grammer, TB, Gustafsson, S, Haitjema, S, Hottenga, JJ (Jouke Jan), Huffman, JE, Jackson, AU, Jacobs, KB, Johansson, A, Kaakinen, M, Kleber, ME, Lahti, J, Leach, IM, Lehne, B, Liu, YF, Lo, KS, Lorentzon, M, Luan, J, Madden, PAF, Mangino, M, McKnight, B, Medina Gomez, Maria, Monda, KL, Montasser, ME, Muller, G, Muller-Nurasyid, M, Nolte, IM (Ilja), Panoutsopoulou, K, Pascoe, L, Paternoster, L, Rayner, NW, Renstrom, F, Rizzi, F, Rose, LM, Ryan, KA, Salo, P, Sanna, S, Scharnagl, H, Shi, JX, Smith, AV, Southam, L, Stancakova, A, Steinthorsdottir, V, Strawbridge, RJ, Sung, YJ, Tachmazidou, I, Tanaka, T, Thorleifsson, G, Trompet, S, Pervjakova, N, Tyrer, JP, Vandenput, L, Laan, Sander, van der Velde, Nathalie, van Setten, J, van Vliet-Ostaptchouk, JV, Verweij, N (Niek), Vlachopoulou, E, Waite, LL, Wang, SR, Wang, ZM, Wild, SH, Willenborg, C, Wilson, JF, Wong, A, Yang, Jiaqi, Yengo, L, Yerges-Armstrong, LM, Yu, L, Zhang, WH, Zhao, JH, Andersson, EA, Bakker, SJL, Baldassarre, D, Banasik, K, Barcella, M, Barlassina, C, Bellis, C, Benaglio, P, Blangero, J, Bluher, M, Bonnet, F, Bonnycastle, LL, Boyd, HA, Bruinenberg, M, Buchman, AS, Campbell, H, Chen, YDI, Chines, PS, Claudi-Boehm, S, Cole, J, Collins, FS, de Geus, EJC, de Groot, LCPGM (Lisette), Dimitriou, M, Duan, J, Enroth, S, Eury, E, Farmaki, AE, Forouhi, NG, Friedrich, N, Gejman, PV, Gigante, B, Glorioso, N, Go, AS, Gottesman, O, Grassler, J, Grallert, H, Grarup, N, Gu, YM, Broer, Linda, Ham, Annelies, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, N, Hattersley, AT, Heath, AC, Henders, AK, Hernandez, D, Hillege, H, Holmen, O, Hovingh, KG, Hui, J, Husemoen, LL, Hutri-Kahonen, N, Hysi, PG, Illig, T, De Jager, PL, Jalilzadeh, S, Jorgensen, T, Jukema, JW, Juonala, M, Kanoni, S, Karaleftheri, M, Khaw, KT, Kinnunen, L, Kittner, SJ, Koenig, W, Kolcic, I, Kovacs, P, Krarup, NT, Kratzer, W, Kruger, J, Kuh, D, Kumari, M, Kyriakou, T, Langenberg, C, Lannfelt, L, Lanzani, C, Lotay, V, Launer, LJ (Lenore), Leander, K, Lindstrom, J, Linneberg, A, Liu, YP, Lobbens, S, Luben, R, Lyssenko, V, Mannisto, S, Magnusson, PK, McArdle, WL, Menni, C, Merger, S, Milani, L, Montgomery, GW, Morris, AP, Narisu, N, Nelis, M, Ong, KK, Palotie, A, Perusse, L, Pichler, I, Pilia, MG, Pouta, A, Rheinberger, M, Ribel-Madsen, R, Richards, M, Rice, KM, Rice, TK, Rivolta, C, Salomaa, V, Sanders, AR, Sarzynski, MA, Scholtens, s, Scott, RA, Scott, WR, Sebert, S, Sengupta, S, Sennblad, B, Seufferlein, T, Silveira, A, Slagboom, PE (Eline), Smit, JH, Sparso, TH, Stirrups, K, Stolk, RP (Ronald), Stringham, HM, Swertz, MA, Swift, AJ, Syvanen, AC, Tan, ST, Thorand, B, Tonjes, A, Tremblay, A, Tsafantakis, E, van der Most, PJ, Volker, U, Vohl, MC, Vonk, JM, Waldenberger, M, Walker, RW, Wennauer, R, Widen, E, Willemsen, G, Wilsgaard, T, Wright, AF, Zillikens, M.C., Boon - van Dijk, Suzanne, Schoor, NM, Asselbergs, FW, de Bakker, PIW, Beckmann, JS, Beilby, J, Bennett, DA, Bergman, RN, Bergmann, S, Boger, CA, Boehm, BO, Boerwinkle, E, Boomsma, DI, Bornstein, SR, Bottinger, EP, Bouchard, C, Chambers, JC, Chanock, SJ, Chasman, DI, Cucca, F, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, JG, Evans, DA, de Faire, U, Farrall, M, Ferrucci, L, Ford, I, Franke, L, Franks, PW, Froguel, P, Gansevoort, RT, Gieger, C, Gronberg, H, Gudnason, V, Gyllensten, U, Hall, P, Hamsten, A, van der Harst, P, Hayward, C, Heliovaara, M, Hengstenberg, C, Hicks, AA, Hingorani, A, Hofman, Bert, Hu, F, Huikuri, HV, Hveem, K, James, AL, Jordan, JM, Jula, A, Kahonen, M, Kajantie, E, Kathiresan, S, Kiemeney, LALM, Kivimaki, M, Knekt, PB, Koistinen, HA, Kooner, JS, Koskinen, S, Kuusisto, J, Maerz, W, Martin, NG, Laakso, M, Lakka, TA, Lehtimaki, T, Lettre, G, Levinson, DF, Lind, L, Lokki, ML, Mantyselka, P, Melbye, M, Metspalu, A, Mitchell, BD, Moll, FL, Murray, JC, Musk, AW, Nieminen, MS, Njolstad, I, Ohlsson, C, Oldehinkel, AJ (A.), Oostra, Ben, Palmer, LJ, Pankow, JS, Pasterkamp, G, Pedersen, NL, Pedersen, O, Penninx, BW, Perola, M, Peters, A, Polasek, O, Pramstaller, PP, Psaty, BM, Qi, L, Quertermous, T, Raitakari, OT, Rankinen, T, Rauramaa, R, Ridker, PM, Rioux, JD, Rivadeneira, Fernando, Rotter, JI, Rudan, I, den Ruijter, HM, Saltevo, J, Sattar, N, Schunkert, H, Schwarz, PEH, Shuldiner, AR, Sinisalo, J, Snieder, H, Sorensen, TIA, Spector, TD, Staessen, JA, Stefania, B, Thorsteinsdottir, U, Stumvoll, M, Tardif, JC, Tremoli, E, Tuomilehto, J, Uitterlinden, André, Uusitupa, M, Verbeek, ALM, Vermeulen, SH, Viikari, JS, Vitart, V, Volzke, H, Vollenweider, P, Waeber, G, Walker, M, Wallaschofski, H, Wareham, NJ, Watkins, H, Zeggini, E, Chakravarti, A, Clegg, DJ, Cupples, LA, Gordon-Larsen, P, Jaquish, CE, Rao, DC, Abecasis, GR, Assimes, TL, Barroso, I, Berndt, SI, Boehnke, M, Deloukas, P, Fox, CS, Groop, LC, Hunter, DJ, Ingelsson, E, Kaplan, RC, McCarthy, MI, Mohlke, KL, O'Connell, JR, Schlessinger, D, Strachan, DP, Stefansson, K, Duijn, Cornelia, Hirschhorn, JN, Lindgren, CM, Heid, IM, North, KE, Borecki, IB, Kutalik, Z, and Loos, RJF

Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age-and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to similar to 2.8M SNPs with BMI and WHRadjBMI in four strata (men <= 50y, men > 50y, women <= 50y, women > 50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR< 5%) age-specific effects, of which 11 had larger effects in younger (< 50y) than in older adults (>= 50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may providefurther insights into the biology that underlies weight change with age or the sexually dimorphism of body shap

Published
2015

27. Biologically implausible carotid intima-media thickness measurement values: effects on rate of change over time.

Author

Peters SA, den Ruijter HM, Palmer MK, Grobbee DE, Crouse JR 3rd, O'Leary DH, Evans GW, Raichlen JS, Bots ML, and METEOR Study Group

Abstract

OBJECTIVE: Carotid intima-media thickness (CIMT) is a marker of atherosclerosis that is commonly used to assess the effect of therapeutic interventions. It is currently unclear to what extent biologically implausible values affect treatment effects. We evaluated the impact of biologically implausible CIMT values on the estimated rate of change in CIMT. METHODS: Data were used from the METEOR (Measuring Effects on Intima-media Thickness: an Evaluation of Rosuvastatin) trial. METEOR was a randomized, placebo-controlled trial showing that rosuvastatin reduced the 2-year change in CIMT among low-risk individuals with subclinical atherosclerosis. In the main METEOR analysis, the data were analyzed without exclusion of biologically implausible data. In this post-hoc analysis, we constructed twelve definitions to define mildly or extremely biologically implausible values using distance from the interquartile range, median or mean. We evaluated the effect of removing implausible values on the estimated rate of change in CIMT. RESULTS: The percentage of biologically implausible CIMT values ranged from 0.6% to 9.7%, depending on the definition used. Across all definitions, removal of biologically implausible CIMT values marginally reduced standard errors and did not change the primary outcome (i.e., a nonsignificant change in the rosuvastatin group, significant progression in the placebo group, and a statistically significant difference between treatment groups). Limitation: This study was focussed on the impact of implausible values in the analytical part of a CIMT study. Ultrasound images were not re-examined to determine whether an implausible measurement was due to measurement error or temporal morphological thickening, CONCLUSION: Removal of biologically implausible CIMT values marginally decreased the variability of the estimated rate of change in CIMT without having a large impact on the estimated rate of change. [ABSTRACT FROM AUTHOR]

Published
2012
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28. Sample size requirements in trials using repeated measurements and the impact of trial design.

Author

Peters SA, Palmer MK, den Ruijter HM, Grobbee DE, Crouse Iii JR, O'Leary DH, Evans GW, Raichlen JS, Bots ML, Peters, Sanne A E, Palmer, Mike K, den Ruijter, Hester M, Grobbee, Diederick E, Crouse, John R 3rd, O'Leary, Daniel H, Evans, Gregory W, Raichlen, Joel S, and Bots, Michiel L

Abstract

Objective: Sample size calculations for clinical trials generally use expected changes between groups, and variances obtained from the literature. However, this approach neglects the impact of differences in trial design. We studied the effects of variations in trial design on the required sample size. Methods: Data were used from the METEOR (Measuring Effects on Intima-Media Thickness: an Evaluation of Rosuvastatin) trial in which carotid intima-media thickness (CIMT) measurements were performed twice at baseline, at 6, 12 and 18 months, and twice at the end of 2-year study treatment. A sample size formula for continuous outcome measures that incorporates between- and within-individual variance components was used to evaluate the impact of differences in the length of follow-up, and the number of CIMT examinations. Results: Trial designs with a shorter duration of follow-up have increased within-individual variance and require larger sample sizes to detect the same treatment effect. Reduction in the number of examinations within a trial with a given duration, i.e. by using single rather than duplicate baseline and end-of-study scans or by not performing intermediate scans, also increased the required sample size to maintain the same power. Conclusion: A longer trial duration and/or more frequent examinations within a trial which has repeated measures of an outcome variable substantially increase study power and reduce the required sample size. In situations where the costs of recruiting, retaining and examining individual participants are known, the sample size, study length and number of examinations can be balanced to optimize the trial design relative to costs or other study objectives. [ABSTRACT FROM AUTHOR]

Published
2012
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31. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author

Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, VA, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renström, F, Wu, J, Qi, Q, Ahmad, S, Alfred, T, Amin, N, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Neergaard Harder, M, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikäinen, L-P, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Müller-Nurasyid, M, Navarro, P, Pérusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stančáková, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, SW, Van Der Most, PJ, Van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N, Vink, JM, Vitart, V, Wu, Y, Yengo, L, Zhang, W, Hua Zhao, J, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, De Borst, GJ, De Craen, AJM, De Geus, EJC, Dedoussis, G, Delgado, GE, Den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Jan Hottenga, J, Huang, J, Hung, J, Hutri-Kähönen, N, Ingelsson, E, James, AL, Jansson, J-O, Jarvelin, M-R, Jhun, MA, Jørgensen, ME, Juonala, M, Kähönen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Krämer, BK, Kuusisto, J, Kvaløy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Männikkö, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellström, D, Menni, C, Montgomery, GW, Musk, AB, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, S, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE, Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, AG, Vandenput, L, Vohl, M-C, Völzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, MC, Baldassarre, D, Balkau, B, Bandinelli, S, Böger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, Y-D, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, Faire, UD, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, H-J, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Wouter Jukema, J, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimäki, T, Marchand, LL, März, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sørensen, TIA, Strauch, K, Tiemeier, H, Tremoli, E, Van Der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Van Duijn, CM, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpeläinen, TO, Liu, C-T, Borecki, IB, North, KE, and Cupples, LA

Subjects
Adult, Waist-Hip Ratio, Quantitative Trait Loci, Smoking, Epistasis, Genetic, Polymorphism, Single Nucleotide, 3. Good health, Body Mass Index, Phenotype, Body Fat Distribution, Humans, Genetic Predisposition to Disease, Obesity, Waist Circumference, Adiposity, Genome-Wide Association Study
Abstract

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

32. Cystatin c and cardiovascular disease: a Mendelian randomization study

Author

van der Laan, SW, Fall, T, Soumaré, A, Teumer, A, Sedaghat, S, Baumert, J, Zabaneh, D, van Setten, J, Isgum, I, Galesloot, TE, Arpegård, J, Amouyel, P, Trompet, S, Waldenberger, M, Dörr, M, Magnusson, PK, Giedraitis, V, Larsson, A, Morris, A, Felix, JF, Morrison, AC, Franceschini, N, Bis, JC, Kavousi, M, O'Donnell, C, Drenos, F, Tragante, V, Munroe, PB, Malik, R, Dichgans, M, Worrall, BB, Erdmann, J, Nelson, CP, Samani, NJ, Schunkert, H, Marchini, J, Patel, RS, Hingorani, AD, Lind, L, Pedersen, NL, de Graaf, J, Kiemeney, LA, Baumeister, SE, Franco, OH, Hofman, A, Uitterlinden, AG, Koenig, W, Meisinger, C, Peters, A, Thorand, B, Jukema, JW, Eriksen, BO, Toft, I, Wilsgaard, T, Onland-Moret, NC, van der Schouw, YT, Debette, S, Kumari, M, Svensson, P, van der Harst, P, Kivimaki, M, Keating, BJ, Sattar, N, Dehghan, A, Reiner, AP, Ingelsson, E, den Ruijter, HM, de Bakker, PI, Pasterkamp, G, Ärnlöv, J, Holmes, M, and Asselbergs, FW

Subjects
urologic and male genital diseases, reproductive and urinary physiology, female genital diseases and pregnancy complications
Abstract

Epidemiological studies show that high circulating cystatin C is associated with risk of cardiovascular disease (CVD), independent of creatinine-based renal function measurements. It is unclear whether this relationship is causal, arises from residual confounding, and/or is a consequence of reverse causation.The aim of this study was to use Mendelian randomization to investigate whether cystatin C is causally related to CVD in the general population.We incorporated participant data from 16 prospective cohorts (n = 76,481) with 37,126 measures of cystatin C and added genetic data from 43 studies (n = 252,216) with 63,292 CVD events. We used the common variant rs911119 in CST3 as an instrumental variable to investigate the causal role of cystatin C in CVD, including coronary heart disease, ischemic stroke, and heart failure.Cystatin C concentrations were associated with CVD risk after adjusting for age, sex, and traditional risk factors (relative risk: 1.82 per doubling of cystatin C; 95% confidence interval [CI]: 1.56 to 2.13; p = 2.12 × 10(-14)). The minor allele of rs911119 was associated with decreased serum cystatin C (6.13% per allele; 95% CI: 5.75 to 6.50; p = 5.95 × 10(-211)), explaining 2.8% of the observed variation in cystatin C. Mendelian randomization analysis did not provide evidence for a causal role of cystatin C, with a causal relative risk for CVD of 1.00 per doubling cystatin C (95% CI: 0.82 to 1.22; p = 0.994), which was statistically different from the observational estimate (p = 1.6 × 10(-5)). A causal effect of cystatin C was not detected for any individual component of CVD.Mendelian randomization analyses did not support a causal role of cystatin C in the etiology of CVD. As such, therapeutics targeted at lowering circulating cystatin C are unlikely to be effective in preventing CVD.

34. The Diagnostic Value of ECG Characteristics for Vasospastic and Microvascular Angina: A Systematic Review.

Author

Schipaanboord DJM, Woudstra J, Appelman Y, Rittersma SZH, van de Hoef TP, van Es R, Coronel R, Damman P, van der Harst P, Onland-Moret NC, and den Ruijter HM

Subjects
Humans, Male, Female, Electrocardiography methods, Microvascular Angina physiopathology, Microvascular Angina diagnosis, Coronary Vasospasm physiopathology, Coronary Vasospasm diagnosis
Abstract

Background: Coronary vascular dysfunction comprises VSA and/or MVA and is more common in women than in men with angina without obstructive coronary artery disease (ANOCA). Invasive coronary function testing is considered the reference test for diagnosis, but its burden on patients is large. We aimed to investigate the potential of electrocardiography (ECG) as noninvasive marker for vasospastic angina (VSA) and microvascular angina (MVA) diagnosis., Methods: We systematically screened Pubmed and EMBASE databases for studies reporting on ECG characteristics in ANOCA patients with (a suspicion of) coronary vascular dysfunction. We assessed study quality using QUADAS-2. We extracted data on diagnostic values of different ECG characteristics and analyzed whether the studies were sex-stratified., Results: Thirty publications met our criteria, 13 reported on VSA and 17 on MVA. The majority addressed repolarization-related ECG parameters. Only 1 of the 13 VSA papers and 4 of the 17 MVA papers showed diagnostic accuracy measures of the ECG characteristics. The presence of early repolarization, T-wave alternans, and inverted U waves showed of predictive value for VSA diagnosis. The QTc interval was predictive for MVA diagnosis in all six studies reporting on QTc interval. Sex-stratified results were reported in only 5 of the 30 studies and 3 of those observed sex-based differences., Conclusions: ECG features are not widely evaluated in diagnostic studies for VSA and MVA. Those features predictive for VSA and MVA diagnosis mostly point to repolarization abnormalities and may contribute to noninvasive risk stratification., (© 2024 The Author(s). Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC.)

Published
2024
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35. Burden of risk factors in women and men with unrecognised myocardial infarction: a systematic review and meta-analysis.

Author

van Oortmerssen JAE, Ntlapo N, Tilly MJ, Bramer WM, den Ruijter HM, Boersma E, Kavousi M, and Roeters van Lennep JE

Abstract

Aims: Unrecognised myocardial infarction (MI) is a MI that remains undetected in the acute phase and is associated with an unfavourable prognosis. With this systematic review and meta-analysis, we evaluated the burden of cardiovascular risk factors in individuals with unrecognised MI., Methods and Results: We searched general population-based cohort studies diagnosing unrecognised MI by electrocardiogram or myocardial imaging up to 24 November 2023. Pooled mean differences (MD) or risk ratios (RR) with 95% confidence intervals (CI) were determined, and random-effects meta-analyses were performed. Fourteen cohort studies were included involving 200,450 individuals (mean age 62.8±9.9 years, 56.0% women), among which 4,322 (2.2%) experienced unrecognised MI (mean age 66.3±8.2 years, 47.8% women) and 4,653 (2.1%) recognised MI (mean age 68.5±7.3 years, 33.8% women). Compared to individuals without MI, those with unrecognised MI had higher body mass index (MD 0.27, 95% CI 0.16-0.39) and systolic blood pressure (MD 4.48, 95% CI 2.81-6.15), and higher prevalence of hypertension (RR 1.27, 95% CI 1.06-1.51) and diabetes mellitus (RR 1.67, 95% CI 1.36-2.06). Furthermore, individuals with unrecognised MI had lower prevalence of hypertension (RR 0.92, 95% CI 0.88-0.97) and diabetes mellitus (RR 0.80, 95% CI 0.70-0.92)., Conclusion: Individuals with unrecognised MI are characterised by a substantial burden of metabolic risk factors. Our findings suggest insufficient recognition and management of cardiovascular risk factors among individuals with unrecognised MI., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2024
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36. Atherosclerotic plaque-specific methylation biomarkers in plasma cell-free DNA of female and male patients with coronary artery disease.

Author

Diez Benavente E, Sakkers TR, van der Harst P, and den Ruijter HM

Subjects
Humans, Female, Male, Middle Aged, Aged, Plaque, Atherosclerotic, Coronary Artery Disease blood, Coronary Artery Disease diagnosis, Coronary Artery Disease genetics, DNA Methylation, Cell-Free Nucleic Acids blood, Biomarkers blood, Biomarkers metabolism
Published
2024
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37. Tobacco smoking is associated with sex- and plaque-type specific upregulation of CRLF1 in atherosclerotic lesions.

Author

Lan T, Palm KCA, Hoeben L, Diez Benavente E, Perry RN, Civelek M, de Kleijn DPV, den Ruijter HM, Pasterkamp G, and Mokry M

Subjects
Humans, Male, Female, Sex Factors, Aged, Middle Aged, Carotid Artery Diseases genetics, Carotid Artery Diseases metabolism, Carotid Artery Diseases pathology, Gene Regulatory Networks, Tobacco Smoking adverse effects, Transcriptome, Receptors, Cytokine genetics, Receptors, Cytokine metabolism, Single-Cell Analysis, Risk Factors, Smokers, Plaque, Atherosclerotic, Up-Regulation
Abstract

Background and Aims: Tobacco smoking is a known risk factor for atherosclerotic disease, with more elevated risks in women compared to men. We hypothesized that atherosclerotic plaques from smokers show different gene expression patterns compared to non-smokers, in a sex-specific manner., Methods: Gene expression data of 625 carotid plaques (151 females and 474 males) were analyzed for differential gene expression between current smokers (n = 226) and non-smokers (n = 399). All analyses were stratified by sex and by molecular plaque characteristics. Finally, we projected the activity of gene regulatory networks and utilized single-cell transcriptomics from 38 plaques (26 males and 12 females) to interpret the sex- and plaque-type specific signals., Results: We observed higher expression levels of CRLF1 gene in atherosclerotic plaques from smokers compared to non-smokers (log2FC = 0.48, FDR = 0.012). CRLF1 upregulation was interacting with sex (p = 0.01) and was more pronounced in females (log2FC = 0.93, p = 1.53E-05) compared to males (log2FC = 0.35, p = 0.0018). Through single-cell RNA-seq analysis, we identified the highest CRLF1 expression within the transitioning and synthetic smooth muscle cell populations. CRLF1 expression was increased in fibro-inflammatory and fibro-cellular plaque types. Gene annotations pointed to increased expression of CRLF1 in networks with extracellular matrix related genes., Conclusions: Atherosclerotic plaques from current smokers show sex-dependent upregulation of smooth muscle cell gene CRLF1. This may explain the different contributions of smoking to cardiovascular risk in females., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2024
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38. Atherosclerotic Plaque Epigenetic Age Acceleration Predicts a Poor Prognosis and Is Associated With Endothelial-to-Mesenchymal Transition in Humans.

Author

Diez Benavente E, Hartman RJG, Sakkers TR, Wesseling M, Sloots Y, Slenders L, Boltjes A, Mol BM, de Borst GJ, de Kleijn DPV, Prange KHM, de Winther MPJ, Kuiper J, Civelek M, van der Laan SW, Horvath S, Onland-Moret NC, Mokry M, Pasterkamp G, and den Ruijter HM

Subjects
Humans, Male, Female, Aged, Prognosis, Middle Aged, Age Factors, Carotid Artery Diseases genetics, Carotid Artery Diseases pathology, Carotid Artery Diseases surgery, Cells, Cultured, Risk Factors, Risk Assessment, Plaque, Atherosclerotic, Epigenesis, Genetic, DNA Methylation, Endothelial Cells pathology, Endothelial Cells metabolism
Abstract

Background: Epigenetic age estimators (clocks) are predictive of human mortality risk. However, it is not yet known whether the epigenetic age of atherosclerotic plaques is predictive for the risk of cardiovascular events., Methods: Whole-genome DNA methylation of human carotid atherosclerotic plaques (n=485) and of blood (n=93) from the Athero-Express endarterectomy cohort was used to calculate epigenetic age acceleration (EAA). EAA was linked to clinical characteristics, plaque histology, and future cardiovascular events (n=136). We studied whole-genome DNA methylation and bulk and single-cell transcriptomics to uncover molecular mechanisms of plaque EAA. We experimentally confirmed our in silico findings using in vitro experiments in primary human coronary endothelial cells., Results: Male and female patients with severe atherosclerosis had a median chronological age of 69 years. The median epigenetic age was 65 years in females (median EAA, -2.2 [interquartile range, -4.3 to 2.2] years) and 68 years in males (median EAA, -0.3 [interquartile range, -2.9 to 3.8] years). Patients with diabetes and a high body mass index had higher plaque EAA. Increased EAA of plaque predicted future events in a 3-year follow-up in a Cox regression model (univariate hazard ratio, 1.7; P =0.0034) and adjusted multivariate model (hazard ratio, 1.56; P =0.02). Plaque EAA predicted outcome independent of blood EAA (hazard ratio, 1.3; P =0.018) and of plaque hemorrhage (hazard ratio, 1.7; P =0.02). Single-cell RNA sequencing in plaque samples from 46 patients in the same cohort revealed smooth muscle and endothelial cells as important cell types in plaque EAA. Endothelial-to-mesenchymal transition was associated with EAA, which was experimentally confirmed by TGFβ -triggered endothelial-to-mesenchymal transition inducing rapid epigenetic aging in coronary endothelial cells., Conclusions: Plaque EAA is a strong and independent marker of poor outcome in patients with severe atherosclerosis. Plaque EAA was linked to mesenchymal endothelial and smooth muscle cells. Endothelial-to-mesenchymal transition was associated with EAA, which was experimentally validated. Epigenetic aging mechanisms may provide new targets for treatments that reduce atherosclerosis complications., Competing Interests: Disclosures None.

Published
2024
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39. IL-1β Inhibition Partially Negates the Beneficial Effects of Diet-Induced Atherosclerosis Regression in Mice.

Author

Karnewar S, Karnewar V, Deaton RA, Shankman LS, Benavente ED, Williams CM, Bradley X, Alencar GF, Bulut GB, Kirmani S, Baylis RA, Zunder ER, den Ruijter HM, Pasterkamp G, and Owens GK

Subjects
Animals, Mice, Male, Diet, Western, Mice, Inbred C57BL, Aorta pathology, Aorta metabolism, Aorta drug effects, Aortic Diseases pathology, Aortic Diseases prevention & control, Aortic Diseases genetics, Aortic Diseases metabolism, Diet, High-Fat, Muscle, Smooth, Vascular pathology, Muscle, Smooth, Vascular metabolism, Muscle, Smooth, Vascular drug effects, Brachiocephalic Trunk pathology, Brachiocephalic Trunk metabolism, Brachiocephalic Trunk drug effects, Interleukin-1beta metabolism, Atherosclerosis pathology, Atherosclerosis prevention & control, Atherosclerosis metabolism, Atherosclerosis genetics, Disease Models, Animal, Plaque, Atherosclerotic, Myocytes, Smooth Muscle pathology, Myocytes, Smooth Muscle metabolism, Myocytes, Smooth Muscle drug effects, Mice, Knockout, ApoE
Abstract

Background: Thromboembolic events secondary to rupture or erosion of advanced atherosclerotic lesions is the global leading cause of death. The most common and effective means to reduce these major adverse cardiovascular events, including myocardial infarction and stroke, is aggressive lipid lowering via a combination of drugs and dietary modifications. However, we know little regarding the effects of reducing dietary lipids on the composition and stability of advanced atherosclerotic lesions, the mechanisms that regulate these processes, and what therapeutic approaches might augment the benefits of lipid lowering., Methods: Smooth muscle cell lineage-tracing Apoe -/- mice were fed a high-cholesterol Western diet for 18 weeks and then a zero-cholesterol standard laboratory diet for 12 weeks before treating them with an IL (interleukin)-1β or control antibody for 8 weeks. We assessed lesion size and remodeling indices, as well as the cellular composition of aortic and brachiocephalic artery lesions, indices of plaque stability, overall plaque burden, and phenotypic transitions of smooth muscle cell and other lesion cells by smooth muscle cell lineage tracing combined with single-cell RNA sequencing, cytometry by time-of-flight, and immunostaining plus high-resolution confocal microscopic z-stack analysis., Results: Lipid lowering by switching Apoe -/- mice from a Western diet to a standard laboratory diet reduced LDL cholesterol levels by 70% and resulted in multiple beneficial effects including reduced overall aortic plaque burden, as well as reduced intraplaque hemorrhage and necrotic core area. However, contrary to expectations, IL-1β antibody treatment after diet-induced reductions in lipids resulted in multiple detrimental changes including increased plaque burden and brachiocephalic artery lesion size, as well as increasedintraplaque hemorrhage, necrotic core area, and senescence as compared with IgG control antibody-treated mice. Furthermore, IL-1β antibody treatment upregulated neutrophil degranulation pathways but downregulated smooth muscle cell extracellular matrix pathways likely important for the protective fibrous cap., Conclusions: Taken together, IL-1β appears to be required for the maintenance of standard laboratory diet-induced reductions in plaque burden and increases in multiple indices of plaque stability., Competing Interests: Disclosures None.

Published
2024
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40. Diabetes and risk of acute coronary syndrome in callers with chest discomfort: Cross-sectional study in out-of-hours primary care.

Author

Spek M, Erkelens DCA, van Het Goor-van Wezep C, van Smeden M, Den Ruijter HM, Wouters LTCM, Venekamp RP, Rutten FH, and Zwart DL

Subjects
Humans, Male, Female, Cross-Sectional Studies, Middle Aged, Aged, Netherlands epidemiology, Diabetes Mellitus epidemiology, Prevalence, Risk Factors, Adult, Acute Coronary Syndrome epidemiology, Primary Health Care statistics & numerical data, After-Hours Care statistics & numerical data, Chest Pain epidemiology, Chest Pain etiology
Abstract

Aims: We investigated the differences in prevalence of acute coronary syndrome (ACS) by presence versus absence of diabetes in males and females with chest discomfort who called out-of-hours primary care (OHS-PC)., Methods: A cross-sectional study performed in the Netherlands. Patients who called the OHS-PC in the Utrecht region, the Netherlands between 2014 and 2017 with acute chest discomfort were included. We compared those with diabetes with those without diabetes. Multivariable logistic regression was used to determine the relation between diabetes and (i) high urgency allocation and (ii) ACS., Results: Of the 2,195 callers with acute chest discomfort, 180 (8.2%) reported having diabetes. ACS was present in 15.3% of males (22.0% in those with diabetes) and 8.4% of females (18.8% in those with diabetes). Callers with diabetes did not receive a high urgency more frequently (74.4% vs. 67.8% (OR: 1.38; 95% CI 0.98-1.96). However, such callers had a higher odds for ACS (OR: 2.17; 95% CI 1.47-3.19). These differences were similar for females and males., Conclusions: Diabetes holds promise as diagnostic factor in callers to OHS-PC with chest discomfort. It might help triage in this setting given the increased risk of ACS in those with diabetes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Published
2024
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41. A critical appreciation of pathway analysis in atherosclerotic disease. Cellular phenotypic plasticity as an illustrative example.

Author

Wesseling M, Diez-Benavente E, Mokry M, den Ruijter HM, and Pasterkamp G

Subjects
Humans, Atherosclerosis genetics
Abstract

The rapid advancements in genome-scale (omics) techniques has created significant opportunities to investigate complex disease mechanisms in tissues and cells. Nevertheless, interpreting -omics data can be challenging, and pathway enrichment analysis is a frequently used method to identify candidate molecular pathways that drive gene expression changes. With a growing number of -omics studies dedicated to atherosclerosis, there has been a significant increase in studies and hypotheses relying on enrichment analysis. This brief review discusses the benefits and limitations of pathway enrichment analysis within atherosclerosis research. We highlight the challenges of identifying complex biological processes, such as cell phenotypic switching, within -omics data. Additionally, we emphasize the need for more comprehensive and curated gene sets that reflect the biological complexity of atherosclerosis. Pathway enrichment analysis is a valuable tool for gaining insights into the molecular mechanisms of atherosclerosis. Nevertheless, it is crucial to remain aware of the intrinsic limitations of this approach. By addressing these weaknesses, enrichment analysis in atherosclerosis can lead to breakthroughs in identifying the mechanisms of disease progresses, the identification of key driver genes, and consequently, advance personalized patient care., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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42. Shortness of breath as a diagnostic factor for acute coronary syndrome in male and female callers to out-of-hours primary care.

Author

Spek M, Venekamp RP, Erkelens DCA, van Smeden M, Wouters LTCM, den Ruijter HM, Rutten FH, and Zwart DL

Subjects
Humans, Male, Female, Cross-Sectional Studies, Dyspnea diagnosis, Dyspnea etiology, Primary Health Care, Chest Pain, Acute Coronary Syndrome diagnosis, Acute Coronary Syndrome complications, Coronary Artery Disease complications, After-Hours Care
Abstract

Objective: Chest discomfort and shortness of breath (SOB) are key symptoms in patients with acute coronary syndrome (ACS). It is, however, unknown whether SOB is valuable for recognising ACS during telephone triage in the out-of-hours primary care (OHS-PC) setting., Methods: A cross-sectional study performed in the Netherlands. Telephone triage conversations were analysed of callers with chest discomfort who contacted the OHS-PC between 2014 and 2017, comparing patients with SOB with those who did not report SOB. We determine the relation between SOB and (1) High urgency allocation, (2) ACS and (3) ACS or other life-threatening diseases., Results: Of the 2195 callers with chest discomfort, 1096 (49.9%) reported SOB (43.7% men, 56.3% women). In total, 15.3% men (13.2% in those with SOB) and 8.4% women (9.2% in those with SOB) appeared to have ACS. SOB compared with no SOB was associated with high urgency allocation (75.9% vs 60.8%, OR: 2.03; 95% CI 1.69 to 2.44, multivariable OR (mOR): 2.03; 95% CI 1.69 to 2.44), but not with ACS (10.9% vs 12.0%; OR: 0.90; 95% CI 0.69 to 1.17, mOR: 0.91; 95% CI 0.70 to 1.19) or 'ACS or other life-threatening diseases' (15.0% vs 14.1%; OR: 1.07; 95% CI 0.85 to 1.36, mOR: 1.09; 95% CI 0.86 to 1.38). For women the relation with ACS was 9.2% vs 7.5%, OR: 1.25; 95% CI 0.83 to 1.88, and for men 13.2% vs 17.4%, OR: 0.72; 95% CI 0.51 to 1.02. For 'ACS or other life-threatening diseases', this was 13.0% vs 8.5%, OR: 1.60; 95% CI 1.10 to 2.32 for women, and 7.5% vs 20.8%, OR: 0.81; 95% CI 0.59 to 1.12 for men., Conclusions: Men and women with chest discomfort and SOB who contact the OHS-PC more often receive high urgency than those without SOB. This seems to be adequate in women, but not in men when considering the risk of ACS or other life-threatening diseases., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2024
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44. Association of mild kidney dysfunction with diastolic dysfunction and heart failure with preserved ejection fraction.

Author

Vernooij RWM, van Ommen ALN, Valstar GB, Cramer MJ, Teske AJ, Menken R, Hofstra L, Rutten FH, Bots ML, den Ruijter HM, and Verhaar MC

Subjects
Male, United States, Humans, Female, Middle Aged, Stroke Volume, Ventricular Function, Left, Prognosis, Kidney, Heart Failure complications, Heart Failure diagnosis, Ventricular Dysfunction, Left complications, Ventricular Dysfunction, Left diagnosis, Renal Insufficiency complications, Renal Insufficiency diagnosis, Renal Insufficiency epidemiology
Abstract

Aims: We aim to investigate the association between kidney dysfunction and left ventricular diastolic dysfunction parameters and heart failure with preserved ejection fraction (HFpEF) and whether this is sex-specific., Methods and Results: We included participants from the HELPFul observational study. Outpatient clinical care data, including echocardiography, and an expert panel judgement on HFpEF was collected. Estimated glomerular filtration rate (eGFR) was calculated by creatinine and cystatin C without race. The association between eGFR with E/e', left ventricular mass index, relative wall thickness, and stage C/D heart failure was tested by multivariable adjusted regression models, stratified by sex, reporting odds ratios and 95% confidence intervals (95% confidence interval). We analysed 880 participants, mean age 62.9 (standard deviation: 9.3) years, 69% female. Four hundred six participants had mild (37.6%) kidney dysfunction (eGFR: 60-89 mL/min/1.73 m 2 ) or moderate (8.5%) kidney dysfunction (eGFR: 30-59 mL/min/1.73 m 2 ). HFpEF was significantly more prevalent in participants with mild and moderate kidney dysfunction (10.3% and 16.0%, respectively) than participants with normal kidney function (3.4%). A lower kidney function was associated with higher E/e' and higher relative wall thickness values. Participants with moderate kidney dysfunction had a higher likelihood of American College of Cardiology/American Heart Association stage C/D HF (odds ratio: 2.07, 95% confidence interval: 1.23, 3.49) than participants with normal kidney functions., Conclusions: Both mild and moderate kidney dysfunction are independently associated with left ventricular diastolic dysfunction parameters and HFpEF. This association is independent of sex and strongest for moderate kidney dysfunction. Considering mild-to-moderate kidney dysfunction as risk factor for HFpEF may help identify high-risk groups benefiting most from early intervention., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Published
2024
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45. ANOCA patients with and without coronary vasomotor dysfunction present with limited electrocardiographic remodeling.

Author

Schipaanboord DJM, Jansen TPJ, Crooijmans C, Onland-Moret NC, Elias-Smale SE, Dimitriu-Leen AC, van der Harst P, van de Hoef TP, van Es R, Damman P, and den Ruijter HM

Abstract

Background: Coronary vasomotor dysfunction (CVDys) comprises coronary vasospasm (CVS) and/or coronary microvascular dysfunction (CMD) and is highly prevalent in patients with angina and non-obstructive coronary artery disease (ANOCA). Invasive coronary function testing (CFT) to diagnose CVDys is becoming more common, enabling pathophysiologic research of CVDys. This study aims to explore the electrophysiological characteristics of ANOCA patients with CVDys., Methods: We collected pre-procedural 12-lead electrocardiograms of ANOCA patients with CVS (n = 35), CMD (n = 24), CVS/CMD (n = 26) and patients without CVDys (CFT-, n = 23) who participated in the NL-CFT registry and underwent CFT. Heart axis and conduction times were compared between patients with CVS, CMD or CVS/CMD and patients without CVDys., Results: Heart axis, heart rate, PQ interval and QRS duration were comparable between the groups. A small prolongation of the QT-interval corrected with Bazett (QTcB) and Fridericia (QTcF) was observed in patients with CVDys compared to patients without CVDys (CVS vs CFT-: QTcB = 422 ± 18 vs 414 ± 18 ms (p = 0.14), QTcF = 410 ± 14 vs 406 ± 12 ms (p = 0.21); CMD vs CFT-: QTcB = 426 ± 17 vs 414 ± 18 ms (p = 0.03), QTcF = 413 ± 11 vs 406 ± 12 ms (p = 0.04); CVS/CMD vs CFT-: QTcB = 424 ± 17 vs 414 ± 18 ms (p = 0.05), QTcF = 414 ± 14 vs 406 ± 12 ms (p = 0.04))., Conclusions: Pre-procedural 12-lead electrocardiograms were comparable between patients with and without CVDys undergoing CFT except for a slightly longer QTc interval in patients with CVDys compared to patients without CVDys, suggesting limited cardiac remodeling in patients with CVDys., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Published
2024
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46. Human Plaque Myofibroblasts to Study Mechanisms of Atherosclerosis.

Author

Buono MF, Benavente ED, Slenders L, Methorst D, Tessels D, Mili E, Finger R, Kapteijn D, Daniels M, van den Dungen NAM, Calis JJA, Mol BM, de Borst GJ, de Kleijn DPV, Pasterkamp G, den Ruijter HM, and Mokry M

Subjects
Humans, Myofibroblasts metabolism, Carotid Arteries metabolism, Myocytes, Smooth Muscle metabolism, Atherosclerosis metabolism, Plaque, Atherosclerotic metabolism
Abstract

Background Plaque myofibroblasts are critical players in the initiation and advancement of atherosclerotic disease. They are involved in the production of extracellular matrix, the formation of the fibrous cap, and the underlying lipidic core via modulation processes in response to different environmental cues. Despite clear phenotypic differences between myofibroblast cells and healthy vascular smooth muscle cells, smooth muscle cells are still widely used as a cellular model in atherosclerotic research. Methods and Results Here, we present a conditioned outgrowth method to isolate and culture myofibroblast cells from plaques. We obtained these cells from 27 donors (24 carotid and 3 femoral endarterectomies). We show that they keep their proliferative capacity for 8 passages, are transcriptionally stable, retain donor-specific gene expression programs, and express extracellular matrix proteins ( FN1 , COL1A1 , and DCN ) and smooth muscle cell markers ( ACTA2 , MYH11 , and CNN1 ). Single-cell transcriptomics reveals that the cells in culture closely resemble the plaque myofibroblasts. Chromatin immunoprecipitation sequencing shows the presence of histone H3 lysine 4 dimethylation at the MYH11 promoter, pointing to their smooth muscle cell origin. Finally, we demonstrated that plaque myofibroblasts can be efficiently transduced (>97%) and are capable of taking up oxidized low-density lipoprotein and undergoing calcification. Conclusions In conclusion, we present a method to isolate and culture cells that retain plaque myofibroblast phenotypical and functional capabilities, making them a suitable in vitro model for studying selected mechanisms of atherosclerosis.

Published
2023
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47. Sex differences in the genetic and molecular mechanisms of coronary artery disease.

Author

Sakkers TR, Mokry M, Civelek M, Erdmann J, Pasterkamp G, Diez Benavente E, and den Ruijter HM

Subjects
Female, Humans, Male, Sex Characteristics, Coronary Artery Disease genetics, Coronary Artery Disease metabolism, Plaque, Atherosclerotic genetics, Atherosclerosis genetics
Abstract

Sex differences in coronary artery disease (CAD) presentation, risk factors and prognosis have been widely studied. Similarly, studies on atherosclerosis have shown prominent sex differences in plaque biology. Our understanding of the underlying genetic and molecular mechanisms that drive these differences remains fragmented and largely understudied. Through reviewing genetic and epigenetic studies, we identified more than 40 sex-differential candidate genes (13 within known CAD loci) that may explain, at least in part, sex differences in vascular remodeling, lipid metabolism and endothelial dysfunction. Studies with transcriptomic and single-cell RNA sequencing data from atherosclerotic plaques highlight potential sex differences in smooth muscle cell and endothelial cell biology. Especially, phenotypic switching of smooth muscle cells seems to play a crucial role in female atherosclerosis. This matches the known sex differences in atherosclerotic phenotypes, with men being more prone to lipid-rich plaques, while women are more likely to develop fibrous plaques with endothelial dysfunction. To unravel the complex mechanisms that drive sex differences in CAD, increased statistical power and adjustments to study designs and analysis strategies are required. This entails increasing inclusion rates of women, performing well-defined sex-stratified analyses and the integration of multi-omics data., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Published
2023
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48. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.

Author

Willems SM, Ng NHJ, Fernandez J, Fine RS, Wheeler E, Wessel J, Kitajima H, Marenne G, Sim X, Yaghootkar H, Wang S, Chen S, Chen Y, Chen YI, Grarup N, Li-Gao R, Varga TV, Asimit JL, Feng S, Strawbridge RJ, Kleinbrink EL, Ahluwalia TS, An P, Appel EV, Arking DE, Auvinen J, Bielak LF, Bihlmeyer NA, Bork-Jensen J, Brody JA, Campbell A, Chu AY, Davies G, Demirkan A, Floyd JS, Giulianini F, Guo X, Gustafsson S, Jackson AU, Jakobsdottir J, Järvelin MR, Jensen RA, Kanoni S, Keinanen-Kiukaanniemi S, Li M, Lu Y, Luan J, Manning AK, Marten J, Meidtner K, Mook-Kanamori DO, Muka T, Pistis G, Prins B, Rice KM, Sanna S, Smith AV, Smith JA, Southam L, Stringham HM, Tragante V, van der Laan SW, Warren HR, Yao J, Yiorkas AM, Zhang W, Zhao W, Graff M, Highland HM, Justice AE, Marouli E, Medina-Gomez C, Afaq S, Alhejily WA, Amin N, Asselbergs FW, Bonnycastle LL, Bots ML, Brandslund I, Chen J, Danesh J, de Mutsert R, Dehghan A, Ebeling T, Elliott P, Farmaki AE, Faul JD, Franks PW, Franks S, Fritsche A, Gjesing AP, Goodarzi MO, Gudnason V, Hallmans G, Harris TB, Herzig KH, Hivert MF, Jørgensen T, Jørgensen ME, Jousilahti P, Kajantie E, Karaleftheri M, Kardia SLR, Kinnunen L, Koistinen HA, Komulainen P, Kovacs P, Kuusisto J, Laakso M, Lange LA, Launer LJ, Leong A, Lindström J, Manning Fox JE, Männistö S, Maruthur NM, Moilanen L, Mulas A, Nalls MA, Neville M, Pankow JS, Pattie A, Petersen ERB, Puolijoki H, Rasheed A, Redmond P, Renström F, Roden M, Saleheen D, Saltevo J, Savonen K, Sebert S, Skaaby T, Small KS, Stančáková A, Stokholm J, Strauch K, Tai ES, Taylor KD, Thuesen BH, Tönjes A, Tsafantakis E, Tuomi T, Tuomilehto J, Uusitupa M, Vääräsmäki M, Vaartjes I, Zoledziewska M, Abecasis G, Balkau B, Bisgaard H, Blakemore AI, Blüher M, Boeing H, Boerwinkle E, Bønnelykke K, Bottinger EP, Caulfield MJ, Chambers JC, Chasman DI, Cheng CY, Collins FS, Coresh J, Cucca F, de Borst GJ, Deary IJ, Dedoussis G, Deloukas P, den Ruijter HM, Dupuis J, Evans MK, Ferrannini E, Franco OH, Grallert H, Hansen T, Hattersley AT, Hayward C, Hirschhorn JN, Ikram A, Ingelsson E, Karpe F, Kaw KT, Kiess W, Kooner JS, Körner A, Lakka T, Langenberg C, Lind L, Lindgren CM, Linneberg A, Lipovich L, Liu CT, Liu J, Liu Y, Loos RJF, MacDonald PE, Mohlke KL, Morris AD, Munroe PB, Murray A, Padmanabhan S, Palmer CNA, Pasterkamp G, Pedersen O, Peyser PA, Polasek O, Porteous D, Province MA, Psaty BM, Rauramaa R, Ridker PM, Rolandsson O, Rorsman P, Rosendaal FR, Rudan I, Salomaa V, Schulze MB, Sladek R, Smith BH, Spector TD, Starr JM, Stumvoll M, van Duijn CM, Walker M, Wareham NJ, Weir DR, Wilson JG, Wong TY, Zeggini E, Zonderman AB, Rotter JI, Morris AP, Boehnke M, Florez JC, McCarthy MI, Meigs JB, Mahajan A, Scott RA, Gloyn AL, and Barroso I

Abstract

Background: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways., Methods: To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses., Results: Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology., Conclusions: Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries., Competing Interests: Competing interests: Rebecca S. Fine: Rebecca S. Fine is currently employed by Vertex Pharmaceuticals Incorporated. Audrey Y Chu: Currently employed by GlaxoSmithkline. Dennis O. Mook-Kanamori: Dennis Mook-Kanamori is working as a part-time clinical research consultant for Metabolon, Inc. Paul W. Franks: PWF has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project. Mike A. Nalls: Dr. Mike A. Nalls is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. Dr. Nalls also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. Mark J. Caulfield: MJC is Chief Scientist for Genomics England, a UK government company. Joel N. Hirschhorn: JHN is on the scientific advisory board of Camp4 Therapeutics. Erik Ingelsson: Erik Ingelsson is now an employee of GlaxoSmithKline. Anubha Mahajan: Anubha Mahajan is an employee of Genentech since January 2020, and a holder of Roche stock. Mark I McCarthy: The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health. MMcC has served on advisory panels for Pfizer, NovoNordisk and Zoe Global, has received honoraria from Merck, Pfizer, Novo Nordisk and Eli Lilly, and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. As of June 2019, MMcC is an employee of Genentech, and a holder of Roche stock. Inês Barroso: IB and spouse declare stock ownership in GlaxoSmithkline and Incyte Ltd. James B. Meigs: JBM serves as an Academic Associate for Quest Diagnostics R&D Bruce M Psaty serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Dr. Sander W. van der Laan has received Roche funding for unrelated work. Matthias Blüher received honoraria as a consultant and speaker from Amgen, AstraZeneca, Bayer, Boehringer-Ingelheim, Lilly, Novo Nordisk, Novartis, Pfizer and Sanofi. Vinicius Tragante: VT became an employee of deCODE genetics/Amgen Inc. after the conclusion of this work Dr Franco is employed by ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.) and Metagenics., (Copyright: © 2023 Willems SM et al.)

Published
2023
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49. IL-1β inhibition partially negates the beneficial effects of diet-induced lipid lowering.

Author

Karnewar S, Karnewar V, Deaton R, Shankman LS, Benavente ED, Williams CM, Bradley X, Alencar GF, Bulut GB, Kirmani S, Baylis RA, Zunder ER, den Ruijter HM, Pasterkamp G, and Owens GK

Abstract

Background: Thromboembolic events secondary to rupture or erosion of advanced atherosclerotic lesions are the leading cause of death in the world. The most common and effective means to reduce these major adverse cardiovascular events (MACE), including myocardial infarction (MI) and stroke, is aggressive lipid lowering via a combination of drugs and dietary modifications. However, little is known regarding the effects of reducing dietary lipids on the composition and stability of advanced atherosclerotic lesions, the mechanisms that regulate these processes, and what therapeutic approaches might augment the benefits of lipid lowering., Methods: Smooth muscle cell (SMC)-lineage tracing Apoe - / - mice were fed a Western diet (WD) for 18 weeks and then switched to a low-fat chow diet for 12 weeks. We assessed lesion size and remodeling indices, as well as the cellular composition of aortic and brachiocephalic artery (BCA) lesions, indices of plaque stability, overall plaque burden, and phenotypic transitions of SMC, and other lesion cells by SMC-lineage tracing combined with scRNA-seq, CyTOF, and immunostaining plus high resolution confocal microscopic z-stack analysis. In addition, to determine if treatment with a potent inhibitor of inflammation could augment the benefits of chow diet-induced reductions in LDL-cholesterol, SMC-lineage tracing Apoe - / - mice were fed a WD for 18 weeks and then chow diet for 12 weeks prior to treating them with an IL-1β or control antibody (Ab) for 8-weeks., Results: Lipid-lowering by switching Apoe - / - mice from a WD to a chow diet reduced LDL-cholesterol levels by 70% and resulted in multiple beneficial effects including reduced overall aortic plaque burden as well as reduced intraplaque hemorrhage and necrotic core area. However, contrary to expectations, IL-1β Ab treatment resulted in multiple detrimental changes including increased plaque burden, BCA lesion size, as well as increased cholesterol crystal accumulation, intra-plaque hemorrhage, necrotic core area, and senescence as compared to IgG control Ab treated mice. Furthermore, IL-1β Ab treatment upregulated neutrophil degranulation pathways but down-regulated SMC extracellular matrix pathways likely important for the protective fibrous cap., Conclusions: Taken together, IL-1β appears to be required for chow diet-induced reductions in plaque burden and increases in multiple indices of plaque stability.

Published
2023
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50. The accumulation of erythrocytes quantified and visualized by Glycophorin C in carotid atherosclerotic plaque reflects intraplaque hemorrhage and pre-procedural neurological symptoms.

Author

Mekke JM, Sakkers TR, Verwer MC, van den Dungen NAM, Song Y, Miller CL, Finn AV, Pasterkamp G, Mokry M, den Ruijter HM, Vink A, de Kleijn DPV, de Borst GJ, Haitjema S, and van der Laan SW

Subjects
Humans, Female, Male, Glycophorins, Carotid Arteries pathology, Hemorrhage pathology, Erythrocyte Membrane pathology, Collagen, Lipids, Magnetic Resonance Imaging, Plaque, Atherosclerotic pathology, Calcinosis pathology, Carotid Stenosis pathology
Abstract

The accumulation of erythrocyte membranes within an atherosclerotic plaque may contribute to the deposition of free cholesterol and thereby the enlargement of the necrotic core. Erythrocyte membranes can be visualized and quantified in the plaque by immunostaining for the erythrocyte marker glycophorin C. Hence, we theorized that the accumulation of erythrocytes quantified by glycophorin C could function as a marker for plaque vulnerability, possibly reflecting intraplaque hemorrhage (IPH), and offering predictive value for pre-procedural neurological symptoms. We employed the CellProfiler-integrated slideToolKit workflow to visualize and quantify glycophorin C, defined as the total plaque area that is positive for glycophorin C, in single slides of culprit lesions obtained from the Athero-Express Biobank of 1819 consecutive asymptomatic and symptomatic patients who underwent carotid endarterectomy. Our assessment included the evaluation of various parameters such as lipid core, calcifications, collagen content, SMC content, and macrophage burden. These parameters were evaluated using a semi-quantitative scoring method, and the resulting data was dichotomized as predefined criteria into categories of no/minor or moderate/heavy staining. In addition, the presence or absence of IPH was also scored. The prevalence of IPH and pre-procedural neurological symptoms were 62.4% and 87.1%, respectively. The amount of glycophorin staining was significantly higher in samples from men compared to samples of women (median 7.15 (IQR:3.37, 13.41) versus median 4.06 (IQR:1.98, 8.32), p < 0.001). Glycophorin C was associated with IPH adjusted for clinical confounders (OR 1.90; 95% CI 1.63, 2.21; p =  < 0.001). Glycophorin C was significantly associated with ipsilateral pre-procedural neurological symptoms (OR:1.27, 95%CI:1.06-1.41, p = 0.005). Sex-stratified analysis, showed that this was also the case for men (OR 1.37; 95%CI 1.12, 1.69; p = 0.003), but not for women (OR 1.15; 95%CI 0.77, 1.73; p = 0.27). Glycophorin C was associated with classical features of a vulnerable plaque, such as a larger lipid core, a higher macrophage burden, less calcifications, a lower collagen and SMC content. There were marked sex differences, in men, glycophorin C was associated with calcifications and collagen while these associations were not found in women. To conclude, the accumulation of erythrocytes in atherosclerotic plaque quantified and visualized by glycophorin C was independently associated with the presence of IPH, preprocedural symptoms in men, and with a more vulnerable plaque composition in both men and women. These results strengthen the notion that the accumulation of erythrocytes quantified by glycophorin C can be used as a marker for plaque vulnerability., (© 2023. Springer Nature Limited.)

Published
2023
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