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Marc Jan Bonder

Researcher at European Bioinformatics Institute

Publications -  117
Citations -  15800

Marc Jan Bonder is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: DNA methylation & Expression quantitative trait loci. The author has an hindex of 46, co-authored 108 publications receiving 10517 citations. Previous affiliations of Marc Jan Bonder include Netherlands Cancer Institute & German Cancer Research Center.

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Haplotype-resolved diverse human genomes and integrated analysis of structural variation.

Peter Ebert, +73 more
- 02 Apr 2021 - 
TL;DR: In this article, the authors present 64 assembled haplotypes from 32 diverse human genomes, which integrate all forms of genetic variation, even across complex loci, and identify 107,590 structural variants (SVs), of which 68% were not discovered with short-read sequencing.
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Large-scale association analyses identify host factors influencing human gut microbiome composition

Alexander Kurilshikov, +109 more
- 18 Jan 2021 - 
TL;DR: In this article, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts) and found high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples.
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Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

Norihiro Kato, +256 more
- 21 Sep 2015 - 
TL;DR: The trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry finds genetic variants at 12 new loci to be associated with blood pressure, providing new evidence for the role of DNA methylation in blood pressure regulation.
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Genome-wide analysis identifies 12 loci influencing human reproductive behavior

Nicola Barban, +284 more
- 01 Dec 2016 - 
TL;DR: In this article, the authors reported a large genome-wide association study of both sexes including 251,151 individuals for AB and 343,072 individuals for NEB and identified 12 independent loci that are significantly associated with AB and NEB.
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Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution.

TL;DR: A Bayesian method to control bias and inflation in EWAS and TWAS based on estimation of the empirical null distribution is proposed and it is demonstrated that the method maximizes power while properly controlling the false positive rate.