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4 results on '"M. Loretto Munoz"'

1. Heritability and genetic correlations of heart rate variability at rest and during stress in the Oman Family Study

Author

Riad Bayoumi, Deepali Jaju, Mohammed O. Hassan, Ilja M. Nolte, Sulayma Albarwani, Peter Picton, Philip J. Millar, M. Loretto Munoz, Afshin Aslani, Saroja Voruganti, Harold Snieder, John S. Floras, Said Al-Yahyaee, Anthony G. Comuzzie, and Life Course Epidemiology (LCE)

Subjects
Adult, Male, 0301 basic medicine, SEX-DIFFERENCES, Oman, Physiology, COLD PRESSOR TEST, Rest, RESPIRATORY SINUS ARRHYTHMIA, BLOOD-PRESSURE, Bivariate analysis, heritability, Genetic correlation, Electrocardiography, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Heart Rate, Stress, Physiological, SPECTRAL-ANALYSIS, Statistics, Heart rate, Genetic variation, Internal Medicine, RECORDINGS, Humans, Heart rate variability, Medicine, family study, Vagal tone, ARAB PEDIGREES, LINKAGE ANALYSIS, business.industry, Cold pressor test, heart rate variability, Middle Aged, Heritability, genetic correlation, CARDIAC AUTONOMIC CONTROL, KIBBUTZIM FAMILY, 030104 developmental biology, Oman Family Study, Exercise Test, Female, Cardiology and Cardiovascular Medicine, business, Stress, Psychological, 030217 neurology & neurosurgery
Abstract

Introduction:Individual differences in heart rate variability (HRV) can be partly attributed to genetic factors that may be more pronounced during stress. Using data from the Oman Family Study (OFS), we aimed to estimate and quantify the relative contribution of genes and environment to the variance of HRV at rest and during stress; calculate the overlap in genetic and environmental influences on HRV at rest and under stress using bivariate analyses of HRV parameters and heart rate (HR).Methods:Time and frequency domain HRV variables and average HR were measured from beat-to-beat HR obtained from electrocardiogram recordings at rest and during two stress tests [mental: Word Conflict Test (WCT) and physical: Cold Pressor Test (CPT)] in the OFS - a multigenerational pedigree consisting of five large Arab families with a total of 1326 participants. SOLAR software was used to perform quantitative genetic modelling.Results:Heritability estimates for HRV and HR ranged from 0.11 to 0.31 for rest, 0.09-0.43 for WCT, and 0.07-0.36 for CPT. A large part of the genetic influences during rest and stress conditions were shared with genetic correlations ranging between 0.52 and 0.86 for rest-WCT and 0.60-0.92 for rest-CPT. Nonetheless, genetic rest-stress correlations for most traits were significantly smaller than 1 indicating some stress-specific genetic effects.Conclusion:Genetic factors significantly influence HRV and HR at rest and under stress. Most of the genetic factors that influence HRV at rest also influence HRV during stress tests, although some unique genetic variance emerges during these challenging conditions.

Published
2018

2. Erratum

Author

Deepali Jaju, Melanie Neijts, Gabrielle Boucher, Arpi Minassian, James D. Stewart, Andreas Voss, Pim van der Harst, Duanping Liao, Joshua C. Bis, Kari E. North, Matteo Barcella, Michel G. Nivard, Jitender Kumar, Andrew Wong, Dewleen G. Baker, G. Ehret, Sulayma Albarwani, Kathleen F. Kerr, Quenna Wong, Ville Huikari, Alexander Kluttig, Andrew P. Morris, Eco J. C. de Geus, Albertine J. Oldehinkel, Ann-Christine Syvänen, Martina Mueller-Nurasyid, Yong Li, Marcel den Hoed, Henning Tiemeier, Henriette E. Meyer zu Schwabedissen, Dorret I. Boomsma, Joop D. Lefrandt, Mohammad Hadi Zafarmand, Victoria B. Risbrough, Halina Greiser, Bruce M. Psaty, Oscar H. Franco, Niek Verweij, Cees A. Swenne, Antti M. Kiviniemi, Konstantin Strauch, Markus Juonala, Zhu Ming Zhang, Nicholas L. Smith, Olli T. Raitakari, Daiane Hemerich, Daniel T. O'Connor, Christopher J. O'Donnell, Riad Bayoumi, Peter Friberg, Alvaro Alonso, Julian F. Thayer, Caroline M. Nievergelt, Delilah Zabaneh, Steven A. Lubitz, Tomas Axelsson, Terho Lehtimäki, Daniele Cusi, Eric A. Whitsel, Arie M. van Roon, Kjell Nikus, Bruno H. Stricker, Bouwe P. Krijthe, Stefan Kääb, Lars Lind, Abdel Abdellaoui, Timothy A. Thornton, Anubha Mahajan, Johan Sundström, Nona Sotoodehnia, Charles Kooperberg, Moritz F. Sinner, Leo-Pekka Lyytikäinen, Xavier Jouven, Tanja G. M. Vrijkotte, Sander W. van der Laan, Tatiana Kuznetsova, Patrick T. Ellinor, Alexander P. Reiner, Ilja M. Nolte, Marian C. Limacher, Paul I.W. de Bakker, Ahmad Vaez, Albert Hofman, Meena Kumari, Folkert W. Asselbergs, Juhani Junttila, Bram Dierckx, Marjo-Riitta Järvelin, Ingrid E. Christophersen, Annie Britton, Cathy C. Laurie, Phyllis K. Stein, Katarzyna Stolarz-Skrzypek, Juha Auvinen, Alexander Teumer, Vilmantas Giedraitis, Foram N. Ashar, Jenny van Dongen, David S. Siscovick, Markku Eskola, Jussi Hernesniemi, Janine F. Felix, M. Loretto Munoz, Jessica van Setten, Yun Li, Bianca J. J. M. Brundel, Christine M. Albert, Annette Peters, Jerome I. Rotter, Nina Hutri-Kähönen, Mark A. Geyer, Lesley E. Tinker, Vinicius Tragante, Susan R. Heckbert, Alan B. Zonderman, John D. Rioux, Kent D. Taylor, Shih-Jen Hwang, Johan Ormel, Mike A. Nalls, Erik Ingelsson, Kirk C. Wilhelmsen, John S. Floras, Diana Kuh, Elsayed Z. Soliman, Henry J. Lin, Brenda W.J.H. Penninx, Mika Kivimäki, Maaike G. J. Gademan, Jouke-Jan Hottenga, Mika Kähönen, Gerjan Navis, Siegfried Perz, Tamar Sofer, Catharina A. Hartman, Barbara McKnight, Jan A. Kors, Rick Jansen, Melanie Waldenberger, Nina Mononen, Heikki V. Huikuri, Azmeraw T. Amare, Mohammad L. Hassan, Jan A. Staessen, Adam X. Maihofer, Erika Salvi, Rob J. Bieringa, Benedikt von der Heyde, Andrea Dietrich, Peter J. van der Most, Philippe Goyette, Harriëtte Riese, Michele K. Evans, Stephanie M. Gogarten, Jean-Claude Tardif, Harold Snieder, Adrienne M. Stilp, Christy L. Avery, Johannes H. Smit, Gonneke Willemsen, Yuri Milaneschi, André G. Uitterlinden, Cecilia M. Lindgren, VU University medical center, APH - Mental Health, Psychiatry, Physiology, ACS - Heart failure & arrhythmias, APH - Methodology, and APH - Digital Health

Subjects
0301 basic medicine, Genetics, Multidisciplinary, Science, General Physics and Astronomy, General Chemistry, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Disease risk, Heart rate variability, 030217 neurology & neurosurgery
Abstract

Nature Communications 8: Article number: 15805 (2017); Published: 14 June 2017; Updated: 2 August 2017 In Supplementary Fig. 10 of this Article, images for panels a and b were inadvertently omitted. The correct version of Supplementary Fig. 10 is provided as Supplementary Information associated withthis Erratum.

Published
2017

3. Genetic loci associated with heart rate variability and their effects on cardiac disease risk

Author

Gerjan Navis, Moritz F. Sinner, Kathleen F. Kerr, Heikki V. Huikuri, Daniele Cusi, Oscar H. Franco, Marian C. Limacher, Charles Kooperberg, Gabrielle Boucher, Riad Bayoumi, Juhani Junttila, Ann-Christine Syvänen, Andrew P. Morris, Anubha Mahajan, Andreas Voss, Paul I.W. de Bakker, Patrick T. Ellinor, Phyllis K. Stein, Janine F. Felix, Mark A. Geyer, Mike A. Nalls, Erik Ingelsson, Vinicius Tragante, Joshua C. Bis, Kari E. North, Jean-Claude Tardif, Harold Snieder, Azmeraw T. Amare, Katarzyna Stolarz-Skrzypek, Markku Eskola, Ilja M. Nolte, Tanja G. M. Vrijkotte, Elsayed Z. Soliman, Deepali Jaju, Melanie Neijts, Adrienne M. Stilp, Mika Kähönen, Henry J. Lin, Jessica van Setten, Meena Kumari, Halina Greiser, John S. Floras, Henriette E. Meyer zu Schwabedissen, Mohammad Hadi Zafarmand, Dewleen G. Baker, Rick Jansen, Cathy C. Laurie, Matteo Barcella, Christy L. Avery, Stefan Kääb, Michel G. Nivard, Jitender Kumar, Lars Lind, Alexander Teumer, Johan Sundström, Kirk C. Wilhelmsen, Barbara McKnight, Vilmantas Giedraitis, Johannes H. Smit, Gonneke Willemsen, Nona Sotoodehnia, Michele K. Evans, Christine M. Albert, Kent D. Taylor, Marcel den Hoed, James D. Stewart, Peter Friberg, Alvaro Alonso, Susan R. Heckbert, Kjell Nikus, Siegfried Perz, André G. Uitterlinden, Bruce M. Psaty, Antti M. Kiviniemi, G. Ehret, Jouke-Jan Hottenga, Sulayma Albarwani, Bouwe P. Krijthe, Timothy A. Thornton, Caroline M. Nievergelt, Delilah Zabaneh, Zhu Ming Zhang, Annie Britton, Ingrid E. Christophersen, Adam X. Maihofer, Juha Auvinen, David S. Siscovick, Arie M. van Roon, Xavier Jouven, Stephanie M. Gogarten, M. Loretto Munoz, Erika Salvi, Folkert W. Asselbergs, Bram Dierckx, Marjo-Riitta Järvelin, Cecilia M. Lindgren, Yun Li, Quenna Wong, Alan B. Zonderman, Yuri Milaneschi, John D. Rioux, Brenda W.J.H. Penninx, Philippe Goyette, Niek Verweij, Harriëtte Riese, Bruno H. Stricker, Markus Juonala, Rob J. Bieringa, Arpi Minassian, Jenny van Dongen, Abdel Abdellaoui, Foram N. Ashar, Jan A. Kors, Albertine J. Oldehinkel, Jussi Hernesniemi, Sander W. van der Laan, Ahmad Vaez, Nina Hutri-Kähönen, Annette Peters, Lesley E. Tinker, Albert Hofman, Dorret I. Boomsma, Victoria B. Risbrough, Tamar Sofer, Pim van der Harst, Konstantin Strauch, Steven A. Lubitz, Catharina A. Hartman, Jerome I. Rotter, Shih-Jen Hwang, Duanping Liao, Mika Kivimäki, Mohammad L. Hassan, Andrew Wong, Peter J. van der Most, Alexander Kluttig, Nina Mononen, Eco J. C. de Geus, Henning Tiemeier, Benedikt von der Heyde, Martina Müller-Nurasyid, Joop D. Lefrandt, Andrea Dietrich, Nicholas L. Smith, Terho Lehtimäki, Bianca J. J. M. Brundel, Jan A. Staessen, Cees A. Swenne, Julian F. Thayer, Daniel T. O'Connor, Christopher J. O'Donnell, Eric A. Whitsel, Tatiana Kuznetsova, Alexander P. Reiner, Johan Ormel, Ville Huikari, Yong Li, Tomas Axelsson, Olli T. Raitakari, Daiane Hemerich, Leo-Pekka Lyytikäinen, Maaike G. J. Gademan, Melanie Waldenberger, Diana Kuh, Ehret, Georg Benedikt, APH - Personalized Medicine, APH - Global Health, Other Research, ACS - Amsterdam Cardiovascular Sciences, Public and occupational health, APH - Methodology, APH - Health Behaviors & Chronic Diseases, ARD - Amsterdam Reproduction and Development, APH - Aging & Later Life, ACS - Atherosclerosis & ischemic syndromes, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Physiology, ACS - Heart failure & arrhythmias, APH - Digital Health, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Vascular Ageing Programme (VAP), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Value, Affordability and Sustainability (VALUE), Biological Psychology, Praxis, Environmental Geography (former), Child and Adolescent Psychiatry / Psychology, Rheumatology, Epidemiology, Medical Informatics, and Internal Medicine

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Medicin och hälsovetenskap, Potassium Channels, Chemistry(all), Muscle Proteins, General Physics and Astronomy, Genome-wide association study, Blood Pressure, PEDIGREES, Bioinformatics, Biochemistry, Genome-wide association studies, Medical and Health Sciences, Cohort Studies, Heart Rate, Risk Factors, RGS Proteins/genetics, Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels, RECORDINGS, Heart rate variability, Vagal tone, European Continental Ancestry Group/genetics, Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels/genetics, ddc:616, Muscle Proteins/genetics, Multidisciplinary, digestive, oral, and skin physiology, Single Nucleotide, Multidisciplinary Sciences, Science & Technology - Other Topics, Heart Diseases/genetics/physiopathology, Erratum, circulatory and respiratory physiology, Heart Diseases, Science, Quantitative Trait Loci, RESPIRATORY SINUS ARRHYTHMIA, Quantitative trait locus, Biology, Physics and Astronomy(all), Polymorphism, Single Nucleotide, White People, General Biochemistry, Genetics and Molecular Biology, Article, PARASYMPATHETIC REGULATION, 03 medical and health sciences, SDG 3 - Good Health and Well-being, MD Multidisciplinary, Heart rate, Journal Article, Humans, Genetic Predisposition to Disease, COHORT, Polymorphism, GENOME-WIDE ASSOCIATION, METAANALYSIS, Genetic association, MODULATOR, Science & Technology, Biochemistry, Genetics and Molecular Biology(all), MORTALITY, Cardiovascular genetics, General Chemistry, Membrane hyperpolarization, ta3121, 030104 developmental biology, Expression quantitative trait loci, ATRIAL-FIBRILLATION, Potassium Channels/genetics, RGS Proteins, Genetics and Molecular Biology(all), Genome-Wide Association Study
Abstract

Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (−0.74, Heart rate variability (HRV) describes the individual variation in cardiac cycle duration and is a measure of vagal control of heart rate. Here, the authors identify seventeen single-nucleotide polymorphisms associated with HRV, lending new insight into the vagal regulation of heart rhythm.

Published
2017

4. Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements

Author

Eco J. C. de Geus, Iris G. Westrik, Joop D. Lefrandt, Chris H. L. Thio, Ron T. Gansevoort, Harold Snieder, M. Loretto Munoz, Emma Oostenbroek, Ilja M. Nolte, Arie M. van Roon, Harriëtte Riese, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Life Course Epidemiology (LCE), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, and EMGO+ - Lifestyle, Overweight and Diabetes

Subjects
Adult, Male, Time Factors, Science, Statistics as Topic, Standard deviation, Correlation, Root mean square, Electrocardiography, SDG 17 - Partnerships for the Goals, Heart Rate, Statistics, Medicine, Heart rate variability, Humans, Demography, GENERAL-POPULATION, Multidisciplinary, business.industry, MORTALITY, Limits of agreement, Agreement analysis, Reproducibility of Results, Gold standard (test), Middle Aged, Female, business, Standard ECG, Research Article
Abstract

ObjectivesIn order to investigate the applicability of routine 10s electrocardiogram (ECG) recordings for time-domain heart rate variability (HRV) calculation we explored to what extent these (ultra-)short recordings capture the "actual" HRV.MethodsThe standard deviation of normal-to-normal intervals (SDNN) and the root mean square of successive differences (RMSSD) were measured in 3,387 adults. SDNN and RMSSD were assessed from (ultra) short recordings of 10s(3x), 30s, and 120s and compared to 240s-300s (gold standard) measurements. Pearson's correlation coefficients (r), Bland-Altman 95% limits of agreement and Cohen's d statistics were used as agreement analysis techniques.ResultsAgreement between the separate 10s recordings and the 240s-300s recording was already substantial (r = 0.758-0.764/Bias = 0.398-0.416/d = 0.855-0.894 for SDNN; r = 0.8530.862/Bias = 0.079-0.096/d = 0.150-0.171 for RMSSD), and improved further when three 10s periods were averaged (r = 0.863/Bias = 0.406/d = 0.874 for SDNN; r = 0.941/Bias = 0.088/d = 0.167 for RMSSD). Agreement increased with recording length and reached near perfect agreement at 120s (r = 0.956/Bias = 0.064/d = 0.137 for SDNN; r = 0.986/Bias = 0.014/d = 0.027 for RMSSD). For all recording lengths and agreement measures, RMSSD outperformed SDNN.ConclusionsOur results confirm that it is unnecessary to use recordings longer than 120s to obtain accurate measures of RMSSD and SDNN in the time domain. Even a single 10s (standard ECG) recording yields a valid RMSSD measurement, although an average over multiple 10s ECGs is preferable. For SDNN we would recommend either 30s or multiple 10s ECGs. Future research projects using time-domain HRV parameters, e.g. genetic epidemiological studies, could calculate HRV from (ultra-)short ECGs enabling such projects to be performed at a large scale.

Published
2015

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