Wibowo Arindrarto

ORCID: 0000-0003-0499-0948
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Research Areas
  • Epigenetics and DNA Methylation
  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Birth, Development, and Health
  • Cancer-related molecular mechanisms research
  • Genetic Syndromes and Imprinting
  • Gene expression and cancer classification
  • Acute Myeloid Leukemia Research
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Cancer-related gene regulation
  • Pluripotent Stem Cells Research
  • Muscle Physiology and Disorders
  • Renal and related cancers
  • Venous Thromboembolism Diagnosis and Management
  • Single-cell and spatial transcriptomics
  • Marine Ecology and Invasive Species
  • Genetics and Neurodevelopmental Disorders
  • Health, Environment, Cognitive Aging
  • Genomics and Chromatin Dynamics
  • Planarian Biology and Electrostimulation
  • Genetics, Bioinformatics, and Biomedical Research
  • Reproductive Biology and Fertility
  • Genetic Mapping and Diversity in Plants and Animals
  • Biomedical Text Mining and Ontologies

Leiden University Medical Center
2015-2024

Genome Institute of Singapore
2016-2018

Hubrecht Institute for Developmental Biology and Stem Cell Research
2016

University Medical Center Utrecht
2016

Eijkman Institute for Molecular Biology
2012

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
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
Eleonora Porcu Sina Rüeger Kaido Lepik Mawussé Agbessi Habibul Ahsan and 95 more Isabel Alves Anand Kumar Andiappan Wibowo Arindrarto Philip Awadalla Alexis Battle Frank Beutner Marc Jan Bonder Dorret I. Boomsma Mark Christiansen Annique Claringbould Patrick Deelen Tõnu Esko Marie-Julie Favé Lude Franke Timothy M. Frayling Sina A. Gharib Gregory Gibson Bastiaan T. Heijmans Gibran Hemani Rick Jansen Mika Kähönen Anette Kalnapenkis Silva Kasela Johannes Kettunen Yungil Kim Holger Kirsten Péter Kovács Knut Krohn Jaanika Kronberg-Guzman Viktorija Kukushkina Bernett Lee Terho Lehtimäki Markus Loeffler Urko M. Marigorta Hailang Mei Lili Milani Grant W. Montgomery Martina Müller‐Nurasyid Matthias Nauck Michel G. Nivard Brenda W.J.H. Penninx Markus Perola Natalia Pervjakova Brandon L. Pierce Joseph E. Powell Holger Prokisch Bruce M. Psaty Olli T. Raitakari Samuli Ripatti Olaf Rötzschke Ashis Saha Markus Scholz Katharina Schramm Ilkka Seppälä P. Eline Slagboom Coen D.A. Stehouwer Michael Stümvoll Patrick Sullivan Peter A.C. ’t Hoen Alexander Teumer Joachim Thiery Tong Lin Anke Tönjes Jenny van Dongen Maarten van Iterson Joyce B. J. van Meurs Jan H. Veldink Joost Verlouw Peter M. Visscher Uwe Völker Urmo Võsa Harm-Jan Westra Cisca Wijmenga Hanieh Yaghootkar Jian Yang Biao Zeng Futao Zhang Wibowo Arindrarto Marian Beekman Dorret I. Boomsma Jan Bot Joris Deelen Patrick Deelen Lude Franke Bastiaan T. Heijmans Peter A.C. ’t Hoen Bert A. Hofman Jouke‐Jan Hottenga Aaron Isaacs Marc Jan Bonder P. Mila Jhamai Rick Jansen Szymon M. Kiełbasa Nico Lakenberg René Luijk

Abstract Genome-wide association studies (GWAS) have identified thousands of variants associated with complex traits, but their biological interpretation often remains unclear. Most these overlap expression QTLs, indicating potential involvement in regulation gene expression. Here, we propose a transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) that uses multiple SNPs as instruments and traits exposures, simultaneously. Applied to 43 human phenotypes, it...

10.1038/s41467-019-10936-0 article EN cc-by Nature Communications 2019-07-24
Melinda Mills Felix C. Tropf David M. Brazel Natalie R. van Zuydam Ahmad Vaez and 95 more Mawussé Agbessi Habibul Ahsan Isabel Alves Anand Kumar Andiappan Wibowo Arindrarto Philip Awadalla Alexis Battle Frank Beutner Marc Jan Bonder Dorret I. Boomsma Mark Christiansen Annique Claringbould Patrick Deelen Tõnu Esko Marie-Julie Favé Lude Franke Timothy M. Frayling Sina A. Gharib Greg Gibson Bastiaan T. Heijmans Gibran Hemani Rick Jansen Mika Kähönen Anette Kalnapenkis Silva Kasela Johannes Kettunen Yungil Kim Holger Kirsten Péter Kovács Knut Krohn Jaanika Kronberg Viktorija Kukushkina Zoltán Kutalik Bernett Lee Terho Lehtimäki Markus Loeffler Urko M. Marigorta Hailang Mei Lili Milani Grant W. Montgomery Martina Müller‐Nurasyid Matthias Nauck Michel G. Nivard Brenda W.J.H. Penninx Markus Perola Natalia Pervjakova Brandon L. Pierce Joseph E. Powell Holger Prokisch Bruce M. Psaty Olli T. Raitakari Samuli Ripatti Olaf Rötzschke Sina Rüeger Ashis Saha Markus Scholz Katharina Schramm Ilkka Seppälä P. Eline Slagboom Coen D.A. Stehouwer Michael Stümvoll Patrick Sullivan Peter A.C. ’t Hoen Alexander Teumer Joachim Thiery Tong Lin Anke Tönjes Jenny van Dongen Maarten van Iterson Joyce B. J. van Meurs Jan H. Veldink Joost Verlouw Peter M. Visscher Uwe Völker Urmo Võsa Harm-Jan Westra Cisca Wijmenga Hanieh Yaghootkar Jian Yang Biao Zeng Futao Zhang Bastiaan T. Heijmans Peter A.C. ’t Hoen Joyce B. J. van Meurs Aaron Isaacs Rick Jansen Lude Franke Dorret I. Boomsma René Pool Jenny van Dongen Jouke‐Jan Hottenga Marleen M. J. van Greevenbroek Coen D.A. Stehouwer Carla Kallen Casper G. Schalkwijk

10.1038/s41562-021-01135-3 article EN Nature Human Behaviour 2021-07-01

We tested whether DNA-methylation profiles account for inter-individual variation in body mass index (BMI) and height they predict these phenotypes over above genetic factors. Genetic predictors were derived from published summary results the largest genome-wide association studies on BMI (n ∼ 350,000) 250,000) to date. methylation by estimating probe-trait effects discovery samples them external samples. Methylation associated with older individuals Lothian Birth Cohorts (LBCs, n = 1,366)...

10.1016/j.ajhg.2015.05.014 article EN cc-by The American Journal of Human Genetics 2015-06-25

Acute myeloid leukemia (AML) is caused by genetic aberrations that also govern the prognosis of patients and guide risk-adapted targeted therapy. Genetic in AML are structurally diverse currently detected different diagnostic assays. This study sought to establish whole transcriptome RNA sequencing as single, comprehensive, flexible platform for diagnostics. We developed HAMLET (Human Expedited Transcriptomics) bioinformatics pipeline simultaneous detection fusion genes, small variants,...

10.1038/s41375-020-0762-8 article EN cc-by Leukemia 2020-03-03

Most existing TWAS tools require individual-level eQTL reference data and thus are not applicable to summary-level datasets. The development of methods that can harness is valuable enable in broader settings enhance power due increased sample size. Thus, we develop a framework called OTTERS (Omnibus Transcriptome Test using Expression Reference Summary data) adapts multiple polygenic risk score (PRS) estimate weights from conducts an omnibus TWAS. We show practical powerful tool by both...

10.1038/s41467-023-36862-w article EN cc-by Nature Communications 2023-03-07

BackgroundSmoking impacts DNA methylation, but data are lacking on smoking-related differential methylation by sex or dietary intake, recent smoking cessation (<1 year), persistence of from in utero exposure, and effects environmental tobacco smoke (ETS).MethodsWe meta-analysed up to 15,014 adults across 5 cohorts with measured blood using Illumina's EPIC array for current (2560 exposed), quit < 1 year (500 (286 ETS exposure (676 exposed). We also evaluated the interaction diet (fibre,...

10.1016/j.ebiom.2023.104956 article EN cc-by EBioMedicine 2024-01-09

Genome-wide association and fine-mapping studies in 14 autoimmune diseases (AID) have implicated more than 250 loci one or of these diseases. As 90% AID-associated SNPs are intergenic intronic, pinpointing the causal genes is challenging. We performed a systematic analysis to link 460 that associated with AID using transcriptomic data from 629 blood samples. were able 71 (39%) AID-SNPs two nearby genes, providing evidence for part multiple exist. While 54 shared by AID, 17% them do not share...

10.1016/j.jaut.2016.01.002 article EN cc-by-nc-nd Journal of Autoimmunity 2016-02-20

Educational attainment is a key behavioural measure in studies of cognitive and physical health, socioeconomic status. We measured DNA methylation at 410,746 CpGs (N = 4152) identified 58 associated with educational loci characterized by pleiotropic functions shared neuronal, immune developmental processes. Associations overlapped those for smoking behaviour, but remained after accounting many CpGs: Effect sizes were on average 28% smaller genome-wide significant 11 adjusting 62% never...

10.1038/s41539-018-0020-2 article EN cc-by npj Science of Learning 2018-03-23

Abstract Background Uncoupling protein 2 (UCP2) gene polymorphisms have been reported as genetic risk factors for obesity and type diabetes mellitus (T2DM). We examined the association of commonly observed UCP2 G(−866)A (rs659366) Ala55Val (C &gt; T) (rs660339) single nucleotide (SNPs) with obesity, high fasting plasma glucose, serum lipids in a Balinese population. Methods A total 603 participants (278 urban 325 rural subjects) were recruited from Bali Island, Indonesia. Fasting glucose...

10.1186/1475-2840-11-41 article EN cc-by Cardiovascular Diabetology 2012-04-25

In contrast to mouse, human female germ cells develop asynchronously. Germ transition meiosis, erase genomic imprints, and reactivate the X chromosome. It is unknown if these events all appear asynchronously, how they relate each other. Here we combine exome sequencing of fetal maternal tissues with single-cell RNA-sequencing five donors. We reconstruct full parental haplotypes quantify changes in allele-specific expression, genome-wide. First distinguish primordial (PGC), pre-meiotic,...

10.1038/s41467-018-04215-7 article EN cc-by Nature Communications 2018-05-08

The regeneration-capable flatworm Macrostomum lignano is a powerful model organism to study the biology of stem cells in vivo. As amenable transgenesis, it complements historically used planarian models, such as Schmidtea mediterranea. However, information on transcriptome and markers M. limited. We generated de novo assembly performed first comprehensive characterization gene expression proliferating lignano, represented by somatic cells, called neoblasts, germline cells. Knockdown selected...

10.7554/elife.20607 article EN cc-by eLife 2016-12-20

Abstract Background DNA methylation is a key epigenetic modification in human development and disease, yet there limited understanding of its highly coordinated regulation. Here, we identify 818 genes that affect patterns blood using large-scale population genomics data. Results By employing genetic instruments as causal anchors, establish directed associations between gene expression distant levels, while ensuring specificity the by correcting for linkage disequilibrium pleiotropy among...

10.1186/s13059-020-02114-z article EN cc-by Genome biology 2020-08-28

Objective Multiple single‐nucleotide polymorphisms ( SNP s) conferring susceptibility to osteoarthritis OA ) mark imbalanced expression of positional genes in articular cartilage, reflected by unequally expressed alleles among heterozygotes (allelic imbalance [ AI ]). We undertook this study explore the cartilage transcriptome from patients for events identify putative disease‐driving genetic variation. Methods was assessed 42 preserved and 5 lesioned samples (from Research Arthritis...

10.1002/art.40748 article EN cc-by-nc Arthritis & Rheumatology 2018-10-09

Abstract Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is essential for precision medicine. In this study, we developed interpretable by employing neural networks informed prior biological knowledge, referred as visible networks. These offer insights decision-making process and can unveil novel perspectives on underlying mechanisms associated with traits complex diseases. We tested performance, interpretability generalizability inferring...

10.1038/s41540-024-00405-w article EN cc-by npj Systems Biology and Applications 2024-08-02

Skeletal muscle fibrosis and impaired regeneration are major contributors to wasting in Duchenne muscular dystrophy (DMD). Muscle growth is negatively regulated by myostatin (MSTN) activins. Blockage of these pathways may improve quality function DMD. Antisense oligonucleotides (AONs) were designed specifically block the ALK4, a key receptor for MSTN/activin pathway skeletal muscle. AON-induced exon skipping resulted specific Alk4 down-regulation, inhibition MSTN activity, increased my...

10.1096/fj.201600675r article EN cc-by The FASEB Journal 2016-10-12
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