Morris A. Swertz

ORCID: 0000-0002-0979-3401
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Cancer Genomics and Diagnostics
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Gene expression and cancer classification
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Genomic variations and chromosomal abnormalities
  • Genetic Mapping and Diversity in Plants and Animals
  • Epigenetics and DNA Methylation
  • Single-cell and spatial transcriptomics
  • Genomics and Phylogenetic Studies
  • Health, Environment, Cognitive Aging
  • Genetic and phenotypic traits in livestock
  • Semantic Web and Ontologies
  • Diet and metabolism studies
  • Birth, Development, and Health
  • Data Quality and Management
  • Nutritional Studies and Diet
  • Gut microbiota and health
  • RNA modifications and cancer
  • Metabolomics and Mass Spectrometry Studies
  • Ethics in Clinical Research
  • Distributed and Parallel Computing Systems

University Medical Center Groningen
2016-2025

University of Groningen
2016-2025

Leiden University Medical Center
2016-2024

Institut thématique Génétique, génomique et bioinformatique
2018-2023

Radboud University Nijmegen
2011-2023

Radboud University Medical Center
2011-2023

Vrije Universiteit Amsterdam
2023

Amsterdam University Medical Centers
2023

Queen's University Belfast
2022

Biobanking and BioMolecular resources Research Infrastructure The Netherlands
2012-2020

There is an urgent need to improve the infrastructure supporting reuse of scholarly data. A diverse set stakeholders-representing academia, industry, funding agencies, and publishers-have come together design jointly endorse a concise measureable principles that we refer as FAIR Data Principles. The intent these may act guideline for those wishing enhance reusability their data holdings. Distinct from peer initiatives focus on human scholar, Principles put specific emphasis enhancing ability...

10.1038/sdata.2016.18 article EN cc-by Scientific Data 2016-03-15
Shane McCarthy Sayantan Das Warren W. Kretzschmar Olivier Delaneau Andrew R. Wood and 95 more Alexander Teumer Hyun Min Kang Christian Fuchsberger Petr Danecek Kevin Sharp Yang Luo Carlo Sidore Alan Kwong Nicholas J. Timpson Seppo Koskinen Scott Vrieze Laura J. Scott He Zhang Anubha Mahajan Jan H. Veldink Ulrike Peters Carlos N. Pato Cornelia M. van Duijn Christopher E. Gillies Ilaria Gandin Massimo Mezzavilla Arthur Gilly Massimiliano Cocca Michela Traglia Andrea Angius Jeffrey C. Barrett Dorrett Boomsma Kari Branham Gerome Breen Chad M. Brummett Fabio Busonero Harry Campbell Andrew T. Chan Sai Chen Emily Y. Chew Francis S. Collins Laura J. Corbin George Davey Smith George Dedoussis Marcus Dörr Aliki-Eleni Farmaki Luigi Ferrucci Lukas Forer Ross M. Fraser Stacey Gabriel Shawn Levy Leif Groop Tabitha A. Harrison Andrew T. Hattersley Oddgeir L. Holmen Kristian Hveem Matthias Kretzler James Lee Matt McGue Thomas Meitinger David Melzer Josine L. Min Karen L. Mohlke John B. Vincent Matthias Nauck Deborah A. Nickerson Aarno Palotie Michele T. Pato Nicola Pirastu Melvin G. McInnis J. Brent Richards Cinzia Sala Veikko Salomaa David Schlessinger Sebastian Schoenherr P. Eline Slagboom Kerrin S. Small Timothy D. Spector Dwight Stambolian Marcus A. Tuke Jaakko Tuomilehto Leonard H. van den Berg Wouter van Rheenen Uwe Völker Cisca Wijmenga Daniela Toniolo Eleftheria Zeggini Paolo Gasparini Matthew G. Sampson James F. Wilson Timothy M. Frayling Paul I. W. de Bakker Morris A. Swertz Steven A. McCarroll Charles Kooperberg Annelot M. Dekker David Altshuler Cristen J. Willer William G. Iacono Samuli Ripatti

10.1038/ng.3643 article EN Nature Genetics 2016-08-22

“Normal” for the gut microbiota For benefit of future clinical studies, it is critical to establish what constitutes a “normal” microbiome, if exists at all. Through fecal samples and questionnaires, Falony et al. Zhernakova targeted general populations in Belgium Netherlands, respectively. Gut composition correlated with range factors including diet, use medication, red blood cell counts, chromogranin A, stool consistency. The data give some hints possible biomarkers normal communities....

10.1126/science.aad3369 article EN Science 2016-04-28
Urmo Võsa Annique Claringbould Harm-Jan Westra Marc Jan Bonder Patrick Deelen and 95 more Biao Zeng Holger Kirsten Ashis Saha Roman Kreuzhuber Seyhan Yazar Harm Brugge Roy Oelen Dylan H. de Vries Monique G.P. van der Wijst Silva Kasela Natalia Pervjakova Isabel Alves Marie-Julie Favé Mawussé Agbessi Mark Christiansen Rick Jansen Ilkka Seppälä Tong Lin Alexander Teumer Katharina Schramm Gibran Hemani Joost Verlouw Hanieh Yaghootkar Reyhan Sönmez Flitman Andrew Brown Viktorija Kukushkina Anette Kalnapenkis Sina Rüeger Eleonora Porcu Jaanika Kronberg Johannes Kettunen Bernett Lee Futao Zhang Ting Qi José Alquicira-Hernández Wibowo Arindrarto Frank Beutner Peter A.C. ‘t Hoen Joyce B. J. van Meurs Jenny van Dongen Maarten van Iterson Morris A. Swertz Marc Jan Bonder Julia Dmitrieva Mahmoud Elansary Benjamin P. Fairfax Michel Georges Bastiaan T. Heijmans Alex W. Hewitt Mika Kähönen Yungil Kim Julian C. Knight Péter Kovács Knut Krohn Shuang� Li Markus Loeffler Urko M. Marigorta Hailang Mei Yukihide Momozawa Martina Müller‐Nurasyid Matthias Nauck Michel G. Nivard Brenda W.J.H. Penninx Jonathan K. Pritchard Olli T. Raitakari Olaf Rötzschke P. Eline Slagboom Coen D.A. Stehouwer Michael Stümvoll Patrick Sullivan Peter A.C. ‘t Hoen Joachim Thiery Anke Tönjes Jenny van Dongen Maarten van Iterson Jan H. Veldink Uwe Völker Robert Warmerdam Cisca Wijmenga Morris A. Swertz Anand Kumar Andiappan Grant W. Montgomery Samuli Ripatti Markus Perola Zoltán Kutalik Emmanouil T. Dermitzakis Sven Bergmann Timothy M. Frayling Joyce B. J. van Meurs Holger Prokisch Habibul Ahsan Brandon L. Pierce Terho Lehtimäki Dorret I. Boomsma Bruce M. Psaty

10.1038/s41588-021-00913-z article EN Nature Genetics 2021-09-01

The LifeLines Cohort Study is a large population-based cohort study and biobank that was established as resource for research on complex interactions between environmental, phenotypic genomic factors in the development of chronic diseases healthy ageing. Between 2006 2013, inhabitants northern part Netherlands their families were invited to participate, thereby contributing three-generation design. Participants visited one sites physical examination, including lung function, ECG cognition...

10.1093/ije/dyu229 article EN International Journal of Epidemiology 2014-12-14

10.1038/ng.3021 article EN Nature Genetics 2014-06-29

Not all obese subjects have an adverse metabolic profile predisposing them to developing type 2 diabetes or cardiovascular disease. The BioSHaRE-EU Healthy Obese Project aims gain insights into the consequences of (healthy) obesity using data on risk factors and phenotypes across several large-scale cohort studies. Aim this study was describe prevalence obesity, syndrome (MetS) metabolically healthy (MHO) in ten participating studies.Ten different cohorts seven countries were combined,...

10.1186/1472-6823-14-9 article EN cc-by BMC Endocrine Disorders 2014-02-01
Urmo Võsa Annique Claringbould Harm-Jan Westra Marc Jan Bonder Patrick Deelen and 95 more Biao Zeng Holger Kirsten Ashis Saha Roman Kreuzhuber Silva Kasela Natalia Pervjakova Isabel Alvaes Marie-Julie Favé Mawussé Agbessi Mark Christiansen Rick Jansen Ilkka Seppälä Tong Lin Alexander Teumer Katharina Schramm Gibran Hemani Joost Verlouw Hanieh Yaghootkar Reyhan Sönmez Andrew Brown Viktorija Kukushkina Anette Kalnapenkis Sina Rüeger Eleonora Porcu Jaanika Kronberg-Guzman Johannes Kettunen Joseph E. Powell Bernett Lee Futao Zhang Wibowo Arindrarto Frank Beutner Harm Brugge Julia Dmitreva Mahmoud Elansary Benjamin P. Fairfax Michel Georges Bastiaan T. Heijmans Mika Kähönen Yungil Kim Julian C. Knight Péter Kovács Knut Krohn Shuang� Li Markus Loeffler Urko M. Marigorta Hailang Mei Yukihide Momozawa Martina Müller‐Nurasyid Matthias Nauck Michel G. Nivard Brenda W.J.H. Penninx Jonathan K. Pritchard Olli T. Raitakari Olaf Rotzchke P. Eline Slagboom Coen D.A. Stehouwer Michael Stümvoll Patrick Sullivan Peter A.C. ‘t Hoen Joachim Thiery Anke Tönjes Jenny van Dongen Maarten van Iterson Jan H. Veldink Uwe Völker Cisca Wijmenga Morris A. Swertz Anand Kumar Andiappan Grant W. Montgomery Samuli Ripatti Markus Perola Zoltán Kutalik Emmanouil T. Dermitzakis Sven Bergmann Timothy M. Frayling Joyce B. J. van Meurs Holger Prokisch Habibul Ahsan Brandon L. Pierce Terho Lehtimäki Dorret I. Boomsma Bruce M. Psaty Sina A. Gharib Philip Awadalla Lili Milani Willem H. Ouwehand Kate Downes Oliver Stegle Alexis Battle Jian Yang Peter M. Visscher Markus Scholz Gregory Gibson Tõnu Esko Lude Franke

Summary While many disease-associated variants have been identified through genome-wide association studies, their downstream molecular consequences remain unclear. To identify these effects, we performed cis- and trans-expression quantitative trait locus (eQTL) analysis in blood from 31,684 individuals the eQTLGen Consortium. We observed that cis -eQTLs can be detected for 88% of studied genes, but they a different genetic architecture compared to variants, limiting our ability use pinpoint...

10.1101/447367 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-10-19

Abstract The methylome is subject to genetic and environmental effects. Their impact may depend on sex age, resulting in sex- age-related physiological variation disease susceptibility. Here we estimate the total heritability of DNA methylation levels whole blood variance explained by common single nucleotide polymorphisms at 411,169 sites 2,603 individuals from twin families, establish a catalogue between-individual methylation. Heritability estimates vary across genome (mean=19%)...

10.1038/ncomms11115 article EN cc-by Nature Communications 2016-04-07
Matthew R. Robinson Aaron Kleinman Mariaelisa Graff Anna A. E. Vinkhuyzen David Couper and 95 more Michael B. Miller Wouter J. Peyrot Abdel Abdellaoui Brendan P. Zietsch Ilja M. Nolte Jana V. van Vliet‐Ostaptchouk Harold Snieder Behrooz Z. Alizadeh H. Marike Boezen Lude Franke Pim van der Harst Gerjan Navis Marianne G. Rots Harold Snieder Morris A. Swertz Bruce H. R. Wolffenbuttel Cisca Wijmenga Gonçalo R. Abecasis Devin Absher Helene Alavere Eva Albrecht Hana Lango Allen Peter Almgren Najaf Amin Philippe Amouyel Denise Anderson Alice M. Arnold Dominique Arveiler Thor Aspelund Folkert W. Asselbergs Themistocles L. Assimes Mustafa Atalay Antony Attwood Larry D. Atwood Stephan J. L. Bakker Beverley Balkau Anthony J. Balmforth Cristina Barlassina Inês Barroso Hanneke Basart Sabrina Bauer J. Beckmann John Beilby Amanda J. Bennett Yoav Ben‐Shlomo Richard N. Bergman Sven Bergmann Sonja I. Berndt Reiner Biffar Anna Maria Di Blasio Bernhard O. Boehm Michael Boehnke Heiner Boeing Eric Boerwinkle Jennifer L. Bolton Amélie Bonnefond Lori L. Bonnycastle Dorret I. Boomsma Ingrid B. Borecki Stefan R. Bornstein Nabila Bouatia‐Naji Gabrielle Boucher Jennifer L. Bragg‐Gresham Paolo Brambilla Marcel Bruinenberg Thomas A. Buchanan Christa Buechler Gemma Cadby Harry Campbell Mark J. Caulfield Christine Cavalcanti-Proença G Cesana Stephen J. Chanock Daniel I. Chasman Yii‐Der Ida Chen Peter S. Chines Deborah J. Clegg Lachlan Coin Francis S. Collins John Connell William Cookson Matthew N. Cooper Damien C. Croteau‐Chonka L. Adrienne Cupples Daniele Cusi Felix R. Day Ian N.M. Day George Dedoussis Mariano Dei Panos Deloukas Emmanouil T. Dermitzakis Antigone S. Dimas Maria Dimitriou Anna Dixon Marcus Dörr

10.1038/s41562-016-0016 article EN Nature Human Behaviour 2017-01-09

The recent proliferation of high-resolution mass spectrometers has generated a wealth new data analysis methods. However, flexible integration these methods into configurations best suited to the research question is hampered by heterogeneous file formats and monolithic software development. mzXML, mzData, mzML have enabled uniform access unprocessed raw data. In this paper we present our efforts produce an equally simple powerful format, PeakML, uniformly exchange processed intermediary...

10.1021/ac2000994 article EN Analytical Chemistry 2011-03-14

Within the Netherlands a national network of biobanks has been established (Biobanking and Biomolecular Research Infrastructure-Netherlands (BBMRI-NL)) as node European BBMRI. One aims BBMRI-NL is to enrich with different types molecular phenotype data. Here, we describe Genome (GoNL), one projects within BBMRI-NL. GoNL whole-genome-sequencing project in representative sample consisting 250 trio-families from all provinces Netherlands, which characterize DNA sequence variation Dutch...

10.1038/ejhg.2013.118 article EN cc-by European Journal of Human Genetics 2013-05-29

There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing that can identify biomarkers and disease-modifying effects, thereby contributing to systems epidemiology.This paper describes design baseline characteristics an intensively examined subpopulation LifeLines in Netherlands. In this unique subcohort, DEEP, we included 1539 participants aged 18 years older.We collected additional blood (n = 1387), exhaled...

10.1136/bmjopen-2014-006772 article EN cc-by-nc BMJ Open 2015-08-01
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