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

Author

Bots, SH, Siegersma, KR, Onland-Moret, NC, Asselbergs, FW, Somsen, GA, Tulevski, II, den, Ruijter HM, Hofstra, L, Bots, SH, Siegersma, KR, Onland-Moret, NC, Asselbergs, FW, Somsen, GA, Tulevski, II, den, Ruijter HM, and Hofstra, L

Abstract

Background: Despite the increasing availability of clinical data due to the digitalisation of healthcare systems, data often remain inaccessible due to the diversity of data collection systems. In the Netherlands, Cardiology Centers of the Netherlands (CCN) introduced “one-stop shop” diagnostic clinics for patients suspected of cardiac disease by their general practitioner. All CCN clinics use the same data collection system and standardised protocol, creating a large regular care database. This database can be used to describe referral practices, evaluate risk factors for cardiovascular disease (CVD) in important patient subgroups, and develop prediction models for use in daily care. Construction and content: The current database contains data on all patients who underwent a cardiac workup in one of the 13 CCN clinics between 2007 and February 2018 (n = 109,151, 51.9% women). Data were pseudonymised and contain information on anthropometrics, cardiac symptoms, risk factors, comorbidities, cardiovascular and family history, standard blood laboratory measurements, transthoracic echocardiography, electrocardiography in rest and during exercise, and medication use. Clinical follow-up is based on medical need and consisted of either a repeat visit at CCN (43.8%) or referral for an external procedure in a hospital (16.5%). Passive follow-up via linkage to national mortality registers is available for 95% of the database. Utility and discussion: The CCN database provides a strong base for research into historically underrepresented patient groups due to the large number of patients and the lack of in- and exclusion criteria. It also enables the development of artificial intelligence-based decision support tools. Its contemporary nature allows for comparison of daily care with the current guidelines and protocols. Missing data is an inherent limitation, as the cardiologist could deviate from standardised protocols when clinically indicated. Conclusion: The CCN database

Published
2021

3. 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, Groepenhoff, F, Klaassen, RGM, Valstar, GB, Bots, SH, Onland-Moret, NC, Den, Ruijter HM, Leiner, T, and Eikendal, ALM

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

4. 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

5. 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

6. 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

7. 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

8. 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, Groepenhoff, F, Eikendal, ALM, Onland-Moret, NC, Bots, SH, Menken, R, Tulevski, II, Somsen, AG, Hofstra, L, and den, Ruijter HM

Abstract

Objectives To 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 setting This is an observational study performed at outpatient cardiology centres of the Netherlands. Participants The study population consisted of 1028 patients with non-acute chest pain (505 women). Analysis and results Twenty-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). Conclusions In 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

9. 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

10. 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

11. 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

14. 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

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, 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

Abstract

Introduction Left ventricular diastolic dysfunction (LVDD) is a common condition in both sexes that may deteriorate into heart failure (HF) with preserved ejection fraction (pEF), although this seems to happen more often in women than in men. Both LVDD and HFpEF often go unrecognised, necessitating the discovery of biomarkers that aid both the identification of individuals with LVDD at risk of developing HF and identification of individuals most likely to benefit from treatment. Methods and analysis HELPFul is an ongoing case-cohort study at a Dutch cardiology outpatient clinic enrolling patients aged 45 years and older without history of cardiovascular disease, who were referred by the general practitioner for cardiac evaluation. We included a random sample of patients and enriched the cohort with cases (defined as an E/e’ ≥8 measured with echocardiography). Information about medical history, cardiovascular risk factors, electrocardiography, echocardiography, exercise test performance, common carotid intima-media thickness measurement and standard cardiovascular biomarkers was obtained from the routine care data collected by the cardiology outpatient clinic. Study procedure consists of extensive venous blood collection for biobanking and additional standardised questionnaires. Follow-up will consist of standardised questionnaires by mail and linkage to regional and national registries. We will perform cardiac magnetic resonance imaging and coronary CT angiography in a subgroup of patients to investigate the extent of macrovascular and microvascular coronary disease. 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 NTR6016;Pre-results.

Published
2019

15. 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

16. 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

17. 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, 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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
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18. 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

19. 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

20. 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, 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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
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21. 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

22. 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

23. 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

24. 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, 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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

25. 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

29. 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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30. 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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33. 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.

34. 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.

36. Burden of risk factors in women and men with unrecognized 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

Subjects
Humans, Female, Middle Aged, Male, Aged, Risk Assessment, Sex Factors, Prevalence, Prognosis, Hypertension epidemiology, Hypertension diagnosis, Hypertension physiopathology, Risk Factors, Myocardial Infarction epidemiology, Myocardial Infarction diagnosis, Heart Disease Risk Factors
Abstract

Unrecognized myocardial infarction (MI) is an 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 unrecognized MI. We searched general population-based cohort studies diagnosing unrecognized MI by electrocardiogram or myocardial imaging up to 24 November 2023. Pooled mean differences (MDs) or risk ratios (RRs) with 95% confidence intervals (CIs) 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 4322 (2.2%) experienced unrecognized MI (mean age 66.3 ± 8.2 years, 47.8% women) and 4653 (2.1%) recognized MI (mean age 68.5 ± 7.3 years, 33.8% women). Compared to individuals without MI, those with unrecognized 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) levels, 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 unrecognized 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). Individuals with unrecognized MI are characterized by a substantial burden of metabolic risk factors. Our findings suggest insufficient recognition and management of cardiovascular risk factors among individuals with unrecognized MI., Competing Interests: Conflict of interest: J.R.v.L. received a research grant from Novartis paid to the institution. This funding source had no involvement in the study design, data collection, analysis, interpretation, writing, and submission. The other authors have no conflict of interest to declare., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2024
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37. Underrepresentation of women in cardiovascular disease clinical Trials-What's in a Name?

Author

Spiering AE, van Ommen AMLN, Roeters van Lennep JE, Appelman Y, Reue K, Onland-Moret NC, and den Ruijter HM

Abstract

Background: Cardiovascular disease is the leading cause of death in women worldwide. Yet, women are often underrepresented in cardiovascular clinical trials. Trial characteristics may influence the participation of women. For instance, trials are often entitled with an acronym, which might be perceived as gendered. We aimed to investigate if the perceived gender of the acronym and other trial characteristics affect the representation of female patients in cardiovascular trials., Methods: We searched ClinicalTrials.gov for randomized controlled trials in cardiovascular disease named with an acronym. Cardiovascular patients (n = 148) scored the perceived gender of the acronym of 148 identified trials. Prevalence ratios (PR) were calculated with Poisson regression to link trial characteristics to representation of female patients in the trials., Results: In 62 % of trials, female patients were underrepresented relative to the disease population. There was no improvement over time in proportion of trials with adequate representation. A third of acronyms was classified as gendered. The perceived gender did not affect representation of female patients (PR 1.01; 95% CI 0.95 - 1.08; P = 0.68). A woman as first and/or last author (PR 1.22; 95% CI 1.07 - 1.38; P = 0.002) and recruitment in an outpatient setting (PR 1.15; 95% CI 1.02 - 1.29; P = 0.01) were associated with a higher prevalence of adequate representation of female patients., Conclusions: Representation of female patients in cardiovascular trials does not depend on the perceived gender of the trial acronym but is improved in trials under female leadership in out-patient settings. Our findings may direct efforts towards increasing representation of female patients in cardiovascular trials., 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 by Elsevier B.V.)

Published
2024
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38. Simplification of a registry-based algorithm for ejection fraction prediction in heart failure patients: Applicability in cardiology centres of the Netherlands.

Author

Canto ED, Uijl A, Onland-Moret NC, Bots SH, Hofstra L, Tulevski I, Asselbergs FW, van der Harst P, Somsen GA, and den Ruijter HM

Subjects
Humans, Female, Male, Aged, Netherlands, Middle Aged, Heart Failure physiopathology, Heart Failure diagnosis, Stroke Volume physiology, Registries, Algorithms
Abstract

Background: Left ventricular ejection fraction (EF) is used to categorize heart failure (HF) into phenotypes but this information is often missing in electronic health records or non-HF registries., Methods: We tested the applicability of a simplified version of a multivariable algorithm, that was developed on data of the Swedish Heart Failure Registry to predict EF in patients with HF. We used data from 4,868 patients with HF from the Cardiology Centers of the Netherlands database, an organization of 13 cardiac outpatient clinics that operate between the general practitioner and the hospital cardiologist. The algorithm included 17 demographical and clinical variables. We tested model discrimination, model performance and calculated model sensitivity, specificity, positive and negative predictive values for EF ≥ vs. <50% and EF ≥ vs. <40%. We additionally performed a multivariable multinomial analysis for all three separate HF phenotypes (with reduced, mildly reduced and preserved EF) HFrEF vs. HFmrEF vs. HFpEF. Finally, we internally validated the model by using temporal validation., Results: Mean age was 66 ±12 years, 44% of patients were women, 68% had HFpEF, 17% had HFrEF, and 15% had HFmrEF. The C-statistic was of 0.71 for EF ≥/< 50% (95% CI: 0.69-0.72) and of 0.74 (95% CI: 0.73-0.75) for EF ≥/< 40%. The model had the highest sensitivities for EF ≥50% (0.72, 95% CI: 0.63-0.75) and for EF ≥40% (0.70, 95% CI: 0.65-0.71). Similar results were achieved by the multinomial model, but the C-statistics for predicting HFpEF vs HFrEF was lower (0.61, 95% CI 0.58-0.63). The internal validation confirmed good discriminative ability., Conclusions: A simple algorithm based on routine clinical characteristics can help discern HF phenotypes in non-cardiology datasets and research settings such as research on primary care data, where measurements of EF is often not available., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Canto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2024
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39. Uniting education, research, healthcare, and society to advance women's heart health.

Author

Schakelaar MY, Maas A, van Ommen ALN, Spiering AE, de Jonge R, Wijchers P, van Rossum G, Heesters BA, de Jong OG, Zandveld J, Rebel HG, Meeldijk J, Pijnappel EW, van Dijk S, Di Maggio A, Nijssen O, Sanders JGF, Hoogerwerf L, van Spaandonk M, Crnko S, Koorman T, Jenniskens K, Onland-Moret NC, van Geelen SM, Ten Broeke T, van Royen-Kerkhof A, Dilaver G, Oliveira S, Kok RJ, van Laake LW, van der Harst P, Spiering W, Rutten FH, van Brussel M, den Ruijter HM, and Bovenschen N

Subjects
Humans, Female, Delivery of Health Care, Biomedical Research, Women's Health
Abstract

Complex health challenges require professionals to operate across disciplines and to better connect with society. Here, we showcase a community-engaged and challenge-based educational model in which undergraduate students conduct transdisciplinary research on authentic complex biomedical problems. This concept reinforces translational medicine, human capital, and exemplifies synergy between education, research, healthcare, and society., (© 2024 Schakelaar et al.)

Published
2024
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40. 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
Aged, Female, Humans, Male, Middle Aged, Carotid Artery Diseases genetics, Carotid Artery Diseases metabolism, Carotid Artery Diseases pathology, Gene Regulatory Networks, Risk Factors, Sex Factors, Single-Cell Analysis, Smokers, Transcriptome, Up-Regulation, Plaque, Atherosclerotic, Receptors, Cytokine genetics, Receptors, Cytokine metabolism, Tobacco Smoking adverse effects
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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41. Sex differences in cognitive functioning in patients with heart failure.

Author

Kuipers S, Kappelle LJ, Greving JP, Amier RP, de Bresser J, Bron EE, Leeuwis AE, Marcks N, den Ruijter HM, Biessels GJ, and Exalto LG

Subjects
Humans, Female, Male, Aged, Middle Aged, Neuropsychological Tests, Cognitive Dysfunction etiology, Cognitive Dysfunction physiopathology, Cognitive Dysfunction psychology, Sex Factors, Aged, 80 and over, Magnetic Resonance Imaging, Heart Failure psychology, Heart Failure complications, Heart Failure physiopathology, Sex Characteristics, Cognition physiology
Abstract

Background: Cognitive impairment is common in patients with heart failure (HF) and impacts patients' life. Sex differences in HF-characteristics are well-established. We hypothesized that women and men with HF also differ in cognitive functioning and that this may be related to sex differences in HF-characteristics and vascular brain injury., Methods: In the Heart-Brain Connection Study, 162 clinically stable HF patients (mean age 69.7 ± 10.0, 33 % women) underwent neuropsychological assessments and brain-MRI. Test results were standardized into z-scores for memory, language, attention/speed, executive functioning, and global cognition. Using linear models adjusted for age and education, we calculated sex differences (women-to-men: W-M∆) in cognitive functioning and examined effects of HF- and vascular brain injury-characteristics on these differences., Results: Men more often had an ischemic cause of HF and lower NYHA-classes, whereas women more often had preserved left ventricular ejection fractions (LVEF). Women had a higher volume of white matter hyperintensities (WMHs) whereas non-lacunar infarcts and microbleeds were more prevalent in men. Women performed better on global cognition than men (W-M∆ in z-score 0.20, 95 %CI 0.03-0.37), predominantly on memory (0.40, 0.02-0.78). These differences were associated with ischemic HF-etiology, as adjustment attenuated these sex differences. After adjustment for non-lacunar infarcts, global cognition difference persisted, but the difference in memory functioning attenuated. Adjustments for NYHA-class, LVEF, WMHs, and microbleeds did not change the results., Conclusion: Women and men with HF differ in cognitive functioning, predominantly in memory functioning, these differences were related to some sex differences in HF-characteristics and vascular brain injury, but not to all., Competing Interests: Declaration of competing interest None declared., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2025
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42. 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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43. 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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44. 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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45. 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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46. 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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47. 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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48. 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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50. 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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