Kristel van Eijk

ORCID: 0000-0002-5612-4585
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Functional Brain Connectivity Studies
  • Epigenetics and DNA Methylation
  • Amyotrophic Lateral Sclerosis Research
  • Neurogenetic and Muscular Disorders Research
  • Neurological diseases and metabolism
  • Neural dynamics and brain function
  • Transcranial Magnetic Stimulation Studies
  • Bipolar Disorder and Treatment
  • EEG and Brain-Computer Interfaces
  • Health Systems, Economic Evaluations, Quality of Life
  • Bioinformatics and Genomic Networks
  • Genetic Syndromes and Imprinting
  • Mental Health Research Topics
  • Receptor Mechanisms and Signaling
  • Viral Infections and Immunology Research
  • Spinal Cord Injury Research
  • Cardiac Structural Anomalies and Repair
  • Kawasaki Disease and Coronary Complications
  • Cardiac electrophysiology and arrhythmias
  • Adenosine and Purinergic Signaling
  • Health, Environment, Cognitive Aging
  • Linguistics and Cultural Studies
  • Schizophrenia research and treatment
  • Phosphodiesterase function and regulation

University Medical Center Utrecht
2012-2024

Utrecht University
2020-2023

University of Amsterdam
2021

Ziekenhuisnetwerk Antwerpen Stuivenberg
2021

SIB Swiss Institute of Bioinformatics
2009

European Bioinformatics Institute
2009

Wellcome Trust
2009

Jason L. Stein Sarah E. Medland Alejandro Arias Väsquez Derrek P. Hibar Rudy E Senstad and 95 more Anderson M. Winkler Roberto Toro Katja Appel Richard Barteček Ørjan Bergmann Manon Bernard Andrew Brown Dara M. Cannon M. Mallar Chakravarty Andrea Christoforou Martin Domín O. Grimm Marisa O. Hollinshead Avram J. Holmes Georg Homuth Jouke‐Jan Hottenga Camilla Langan Lorna M. Lopez Narelle K. Hansell Kristy Hwang Sungeun Kim Gonzalo Laje Phil H. Lee Xinmin Liu Eva Loth Anbarasu Lourdusamy Morten Mattingsdal Sebastian Mohnke Susana Muñoz Maniega Kwangsik Nho Allison C. Nugent Carol O’Brien Martina Papmeyer Benno Pütz Adaikalavan Ramasamy Jerod M. Rasmussen Mark Rijpkema Shannon L. Risacher J. Cooper Roddey Emma J. Rose Mina Ryten Li Shen Emma Sprooten Eric Strengman Alexander Teumer Daniah Trabzuni Jessica A. Turner Kristel van Eijk Theo G.M. van Erp Marie‐José van Tol Katharina Wittfeld Christiane Wolf Saskia Woudstra André Alemán Saud Alhusaini Laura Almasy Elisabeth B. Binder David G. Brohawn Rita M. Cantor Melanie A. Carless Aiden Corvin Michael Czisch Joanne E. Curran Gail Davies Marcio Almeida Norman Delanty Chantal Depondt Ravi Duggirala Thomas D. Dyer Susanne Erk Jesen Fagerness Peter T. Fox Nelson B. Freimer Michael Gill Harald H.H. Göring Donald J. Hagler David Hoehn Herta Flor Martine Hoogman Norbert Hosten Neda Jahanshad Matthew P. Johnson Dalia Kasperavičiūtė Jack W. Kent Peter Kochunov Jack L. Lancaster Stephen M. Lawrie David C. Liewald René C.W. Mandl Mar Matarín Manuel Mattheisen Eva Meisenzahl Ingrid Melle Eric K. Moses Thomas W. Mühleisen

10.1038/ng.2250 article EN Nature Genetics 2012-04-15

Several recent studies reported aging effects on DNA methylation levels of individual CpG dinucleotides. But it is not yet known whether aging-related consensus modules, in the form clusters correlated markers, can be found that are present multiple human tissues. Such a module could facilitate understanding tissues.We therefore employed weighted correlation network analysis 2,442 Illumina arrays from brain and blood tissues, which enabled identification an age-related co-methylation module....

10.1186/gb-2012-13-10-r97 article EN cc-by Genome biology 2012-10-03

IntAct is an open-source, open data molecular interaction database and toolkit. Data abstracted from the literature or direct depositions by expert curators following a deep annotation model providing high level of detail. As September 2009, contains over 200.000 curated binary evidences. In response to growing volume user requests, now provides two-tiered view data. The search interface allows iteratively develop complex queries, exploiting detailed with hierarchical controlled...

10.1093/nar/gkp878 article EN cc-by-nc Nucleic Acids Research 2009-10-22
Josine L. Min Gibran Hemani Eilís Hannon Koen F. Dekkers Juan Castillo‐Fernandez and 95 more René Luijk Elena Carnero‐Montoro Daniel J. Lawson Kimberley Burrows Matthew Suderman Andrew D. Bretherick Tom G. Richardson Johanna Klughammer Valentina Iotchkova Gemma C. Sharp Ahmad Al Khleifat Aleksey Shatunov Alfredo Iacoangeli Wendy L. McArdle Karen Ho Ashish Kumar Cilla Söderhäll Carolina Soriano‐Tárraga Eva Giralt‐Steinhauer Nabila Kazmi Dan Mason Allan F. McRae David L. Corcoran Karen Sugden Silva Kasela Alexia Cardona Felix R. Day Giovanni Cugliari Clara Viberti Simonetta Guarrera Michael C. Lerro Richa Gupta Sailalitha Bollepalli Pooja R. Mandaviya Yanni Zeng Toni‐Kim Clarke Rosie M. Walker Vanessa Schmoll Darina Czamara Carlos Ruiz-Arenas Faisal I. Rezwan Riccardo E. Marioni Tian Lin Yvonne Awaloff Marine Germain Dylan Aïssi Ramona Zwamborn Kristel van Eijk Annelot M. Dekker Jenny van Dongen Jouke‐Jan Hottenga Gonneke Willemsen Cheng‐Jian Xu Guillermo Barturen Francesc Català‐Moll Martin Kerick Carol A. Wang Phillip E. Melton Hannah R. Elliott Jean Shin Manon Bernard İdil Yet Melissa Smart T.J. Gorrie-Stone Chris Shaw Ammar Al‐Chalabi Susan M. Ring Göran Pershagen Erik Melén Jordi Jiménez‐Conde Jaume Roquer Debbie A. Lawlor John Wright Nicholas G. Martin Grant W. Montgomery Terrie E. Moffitt Richie Poulton Tõnu Esko Lili Milani Andres Metspalu John R. B. Perry Ken K. Ong Nicholas J. Wareham Giuseppe Matullo Carlotta Sacerdote Salvatore Panico Avshalom Caspi Louise Arseneault France Gagnon Miina Ollikainen Jaakko Kaprio Janine F. Felix Fernando Rivadeneira Henning Tiemeier Marinus H. van IJzendoorn

10.1038/s41588-021-00923-x article EN Nature Genetics 2021-09-01

With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in testing this disease. Although ample experience with C9orf72, SOD1, FUS and TARDBP familial ALS, large studies exploring genetic variation all ALS-associated genes sporadic ALS (sALS) are still scarce. Gene diagnostic setting challenging, given complex architecture sALS, which variants small effect sizes. Guidelines interpretation panels counselling patients lacking. We aimed to provide thorough...

10.1093/brain/awad120 article EN cc-by-nc Brain 2023-04-12

Cancer genetics has to date focused on epithelial malignancies, identifying multiple histotype-specific pathways underlying cancer susceptibility. Sarcomas are rare malignancies predominantly derived from embryonic mesoderm. To identify specific mesenchymal cancers, we performed whole-genome germline sequencing 1644 sporadic cases and 3205 matched healthy elderly controls. Using an extreme phenotype design, a combined rare-variant burden ontologic analysis identified two sarcoma-specific...

10.1126/science.abj4784 article EN Science 2023-01-19

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving selective vulnerability of energy-intensive motor neurons (MNs). It has been unclear whether mitochondrial function an upstream driver or downstream modifier neurotoxicity. We separated genetic determinants function, including variation within the genome autosomes; from changeable factors DNA copy number (mtCN). Across three cohorts 6,437 ALS patients, we discovered that set haplotypes, chosen because they are...

10.1016/j.heliyon.2024.e24975 article EN cc-by Heliyon 2024-01-24

Predictors consistently associated with psychosis liability and course of illness in schizophrenia (SCZ) spectrum disorders (SSD), including the need for clozapine treatment, are lacking. Longitudinally ascertained medication use may empower studies examining associations between polygenic risk scores (PRSs) pharmacotherapy choices.To examine PRS-SCZ loading groups different liabilities to SSD (individuals taking clozapine, individuals other antipsychotics, their parents siblings, unrelated...

10.1001/jamapsychiatry.2022.4234 article EN JAMA Psychiatry 2022-12-21
Josine L. Min Gibran Hemani Eilís Hannon Koen F. Dekkers Juan Castillo‐Fernandez and 95 more René Luijk Elena Carnero‐Montoro Daniel J. Lawson Kimberley Burrows Matthew Suderman Andrew D. Bretherick Tom G. Richardson Johanna Klughammer Valentina Iotchkova Gemma C. Sharp Ahmad Al Khleifat Aleksey Shatunov Alfredo Iacoangeli Wendy L. McArdle Karen Ho Ashish Kumar Cilla Söderhäll Carolina Soriano‐Tárraga Eva Giralt‐Steinhauer Nabila Kazmi Dan Mason Allan F. McRae David L. Corcoran Karen Sugden Silva Kasela Alexia Cardona Felix R. Day Giovanni Cugliari Clara Viberti Simonetta Guarrera Michael C. Lerro Richa Gupta Sailalitha Bollepalli Pooja R. Mandaviya Yanni Zeng Toni‐Kim Clarke Rosie M. Walker Vanessa Schmoll Darina Czamara Carlos Ruiz-Arenas Faisal I. Rezwan Riccardo E. Marioni Tian Lin Yvonne Awaloff Marine Germain Dylan Aïssi Ramona A. J. Zwamborn Kristel van Eijk Annelot M. Dekker Jenny van Dongen Jouke‐Jan Hottenga Gonneke Willemsen Cheng‐Jian Xu Guillermo Barturen Francesc Català‐Moll Martin Kerick Carol A. Wang Phillip E. Melton Hannah R. Elliott Jean Shin Manon Bernard İdil Yet Melissa Smart T.J. Gorrie-Stone Chris Shaw Ammar Al‐Chalabi Susan M. Ring Göran Pershagen Erik Melén Jordi Jiménez-Conde Jaume Roquer Debbie A. Lawlor John Wright Nicholas G. Martin Grant W. Montgomery Terrie E. Moffitt Richie Poulton Tõnu Esko Lili Milani Andres Metspalu John R. B. Perry Ken K. Ong Nicholas J Wareham Giuseppe Matullo Carlotta Sacerdote Avshalom Caspi Louise Arseneault France Gagnon Miina Ollikainen Jaakko Kaprio Janine F. Felix Fernando Rivadeneira Henning Tiemeier Marinus H. van IJzendoorn André G. Uitterlinden

Abstract Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. Here we describe results of methylation-quantitative trait loci (mQTL) analyses 32,851 participants, identifying variants associated with DNAm at 420,509 sites in blood. We present a database >270,000 independent mQTL which 8.5% comprise long-range ( trans ) associations. Identified associations explain 15-17% the additive variance...

10.1101/2020.09.01.20180406 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-09-03

The treatment of major depressive disorder (MDD) is hampered by low chances response in each step, which partly due to a lack firmly established outcome-predictive biomarkers. Here, we hypothesize that polygenic-informed EEG signatures may help predict antidepressant response. Using electroencephalography (EEG) data-driven, data-reduction approach, identify brain network large cohort (N=1,123), and discover it sex-specifically (male patients, N=617) associated with polygenic risk score (PRS)...

10.1016/j.euroneuro.2022.07.006 article EN cc-by European Neuropsychopharmacology 2022-07-24

The relative merits of sequential bypass grafting were compared to those conventional in 247 patients undergoing uncomplicated coronary artery graft surgery. duration both ischemic arrest and cardiopulmonary could be predicted on the basis number end-to-side side-to-side anastomoses. Multivariate regression showed that can executed more quickly than because: 1. suture time for anastomoses is less (5 vs. 12 min) and, 2. fewer aortic are required. rate perioperative myocardial infarction was...

10.1055/s-2007-1023467 article EN The Thoracic and Cardiovascular Surgeon 1981-06-01

Abstract The treatment of major depressive disorder (MDD) is hampered by low chances response in each step, which partly due to a lack firmly established outcome-predictive biomarkers. Here, we hypothesize that polygenic-informed EEG biomarkers may help predict differential antidepressant response. Using electroencephalography (EEG) data-driven, data-reduction approach, identify functional brain network sex-specifically associated with polygenic risk for MDD psychiatric patients (N=1,123)....

10.21203/rs.3.rs-155886/v1 preprint EN cc-by Research Square (Research Square) 2021-02-05

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Selective vulnerability of energy-intensive motor neurons (MNs) has fostered speculation that mitochondrial function determinant ALS. Previously, the position in pathogenic cascade leading to neurotoxicity been unclear. We separated upstream genetic determinants function, including variation within genome or autosomes; from downstream changeable factors copy number (mtCN) and MN gene expression. discovered...

10.1101/2022.05.31.494229 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-06-01

Abstract The treatment of major depressive disorder (MDD) is hampered by low chances response in each step, which partly due to a lack firmly established outcome-predictive biomarkers. Here, we hypothesize that polygenic-informed EEG signatures may help predict differential antidepressant response. Using electroencephalography (EEG) data-driven, data-reduction approach, identify functional brain network large cohort predominantly psychiatric patients (N=1,123), and discover this...

10.21203/rs.3.rs-155886/v2 preprint EN cc-by Research Square (Research Square) 2021-04-28
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