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Dive into the research topics where Bram Bekaert is active.

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Featured researches published by Bram Bekaert.


Epigenetics | 2015

Improved age determination of blood and teeth samples using a selected set of DNA methylation markers

Bram Bekaert; Aubeline Kamalandua; Sara Zapico; Wim Van de Voorde; Ronny Decorte

Age estimation from DNA methylation markers has seen an exponential growth of interest, not in the least from forensic scientists. The current published assays, however, can still be improved by lowering the number of markers in the assay and by providing more accurate models to predict chronological age. From the published literature we selected 4 age-associated genes (ASPA, PDE4C, ELOVL2, and EDARADD) and determined CpG methylation levels from 206 blood samples of both deceased and living individuals (age range: 0–91 years). This data was subsequently used to compare prediction accuracy with both linear and non-linear regression models. A quadratic regression model in which the methylation levels of ELOVL2 were squared showed the highest accuracy with a Mean Absolute Deviation (MAD) between chronological age and predicted age of 3.75 years and an adjusted R2 of 0.95. No difference in accuracy was observed for samples obtained either from living and deceased individuals or between the 2 genders. In addition, 29 teeth from different individuals (age range: 19–70 years) were analyzed using the same set of markers resulting in a MAD of 4.86 years and an adjusted R2 of 0.74. Cross validation of the results obtained from blood samples demonstrated the robustness and reproducibility of the assay. In conclusion, the set of 4 CpG DNA methylation markers is capable of producing highly accurate age predictions for blood samples from deceased and living individuals


Epigenetics | 2017

Dietary and supplemental maternal methyl-group donor intake and cord blood DNA methylation

Sara Pauwels; Manosij Ghosh; Radu Corneliu Duca; Bram Bekaert; Kathleen Freson; Inge Huybrechts; Sabine A.S. Langie; Gudrun Koppen; Roland Devlieger; Lode Godderis

ABSTRACT Maternal nutrition is critically involved in the development and health of the fetus. We evaluated maternal methyl-group donor intake through diet (methionine, betaine, choline, folate) and supplementation (folic acid) before and during pregnancy in relation to global DNA methylation and hydroxymethylation and gene specific (IGF2 DMR, DNMT1, LEP, RXRA) cord blood methylation. A total of 115 mother-infant pairs were enrolled in the MAternal Nutrition and Offsprings Epigenome (MANOE) study. The intake of methyl-group donors was assessed using a food-frequency questionnaire. LC-MS/MS and pyrosequencing were used to measure global and gene specific methylation, respectively. Dietary intake of methyl-groups before and during pregnancy was associated with changes in LEP, DNMT1, and RXRA cord blood methylation. Statistically significant higher cord blood LEP methylation was observed when mothers started folic acid supplementation more than 6 months before conception compared with 3–6 months before conception (34.6 ± 6.3% vs. 30.1 ± 3.6%, P = 0.011, LEP CpG1) or no folic acid used before conception (16.2 ± 4.4% vs. 13.9 ± 3%, P = 0.036 for LEP CpG3 and 24.5 ± 3.5% vs. 22.2 ± 3.5%, P = 0.045 for LEP mean CpG). Taking folic acid supplements during the entire pregnancy resulted in statistically significantly higher cord blood RXRA methylation as compared with stopping supplementation in the second trimester (12.3 ± 1.9% vs. 11.1 ± 2%, P = 0.008 for RXRA mean CpG). To conclude, long-term folic acid use before and during pregnancy was associated with higher LEP and RXRA cord blood methylation, respectively. To date, pregnant women are advised to take a folic acid supplement of 400 µg/day from 4 weeks before until 12 weeks of pregnancy. Our results suggest significant epigenetic modifications when taking a folic acid supplement beyond the current advice.


Forensic Science International-genetics | 2012

Automated DNA extraction of single dog hairs without roots for mitochondrial DNA analysis.

Bram Bekaert; Maarten Larmuseau; Maarten Pieterjan Vanhove; Anouschka Opdekamp; Ronny Decorte

Dogs are intensely integrated in human social life and their shed hairs can play a major role in forensic investigations. The overall aim of this study was to validate a semi-automated extraction method for mitochondrial DNA analysis of telogenic dog hairs. Extracted DNA was amplified with a 95% success rate from 43 samples using two new experimental designs in which the mitochondrial control region was amplified as a single large (± 1260 bp) amplicon or as two individual amplicons (HV1 and HV2; ± 650 and 350 bp) with tailed-primers. The results prove that the extraction of dog hair mitochondrial DNA can easily be automated to provide sufficient DNA yield for the amplification of a forensically useful long mitochondrial DNA fragment or alternatively two short fragments with minimal loss of sequence in case of degraded samples.


Forensic Science International-genetics | 2012

Automating a combined composite-consensus method to generate DNA profiles from low and high template mixture samples

Bram Bekaert; Anneleen Van Geystelen; Nancy Vanderheyden; Maarten Larmuseau; Ronny Decorte

We present an automated method to generate DNA profiles from replicate PCRs by combining advantages of the composite and consensus method by a system of brackets in which an allelic balance threshold is used as a variable to separate DNA-profiles of major from minor donors. Through the analysis of artificial low (125 pg) and high (250 pg) template three-person mixtures with low (1:1.5:3) and high (1:5:10) donor ratios we demonstrate the usefulness of a tool to determine the optimal allelic balance threshold within a locus. The automated extraction of dominant profiles saves considerable amounts of time when producing composite-consensus profiles. Drop-in/drop-out rates are produced and a comparison is made with an alternative open source script to evaluate the dominant profiles generated. By introducing this script into the forensic community we hope to increase awareness of much needed collaborative efforts with bioinformaticians and statisticians to develop forensic open source software scripts.


Forensic Science International-genetics | 2012

Allele frequencies for the new European Standard Set (ESS) loci and D1S1677 in the Belgian population

Sophie Dognaux; Maarten Larmuseau; Lynn Jansen; Tom Heylen; Nancy Vanderheyden; Bram Bekaert; Fabrice Noel; Ronny Decorte

Abstract The nine Belgian laboratories, officially recognized by the Belgian Minister of Justice for performing DNA analysis in criminal cases, have jointly decided to use a common local population database for statistical calculations. A first database has been set up for the loci covered in AmpFlSTR ® Identifiler™ and PowerPlex ® 16 [1,2]. With the decision of ENFSI and EDNAP to extend the current ESS loci (D3S1358, vWA, D8S1179, D21S11, D18S51, THO1 and FGA) with new loci (D1S1656, D2S441, D10S1248, D12S391 and D22S1045), there was a need to obtain also data for these loci within the Belgian population [3,4]. Here, we present the allele frequencies and forensic efficiency data for the new ESS loci and one additional miniSTR, D1S1677.


Trends in Genetics | 2018

Forensic Epigenetic Age Estimation and Beyond: Ethical and Legal Considerations

Mahsa Shabani; Pascal Borry; Inge Smeers; Bram Bekaert

Forensic geneticists are in a race to develop methods based on DNA methylation for various forensic applications, including age estimation. We argue that using epigenetic biomarkers could reveal a broad range of health and life-style related information, therefore it is necessary to develop adequate safeguards to protect the privacy of the individuals under scrutiny.


Forensic Science International-genetics | 2018

Evaluation of three statistical prediction models for forensic age prediction based on DNA methylation

Inge Smeers; Ronny Decorte; Wim Van de Voorde; Bram Bekaert

DNA methylation is a promising biomarker for forensic age prediction. A challenge that has emerged in recent studies is the fact that prediction errors become larger with increasing age due to interindividual differences in epigenetic ageing rates. This phenomenon of non-constant variance or heteroscedasticity violates an assumption of the often used method of ordinary least squares (OLS) regression. The aim of this study was to evaluate alternative statistical methods that do take heteroscedasticity into account in order to provide more accurate, age-dependent prediction intervals. A weighted least squares (WLS) regression is proposed as well as a quantile regression model. Their performances were compared against an OLS regression model based on the same dataset. Both models provided age-dependent prediction intervals which account for the increasing variance with age, but WLS regression performed better in terms of success rate in the current dataset. However, quantile regression might be a preferred method when dealing with a variance that is not only non-constant, but also not normally distributed. Ultimately the choice of which model to use should depend on the observed characteristics of the data.


Nanotoxicology | 2017

Changes in DNA methylation induced by multi-walled carbon nanotube exposure in the workplace

Manosij Ghosh; Deniz Öner; Katrien Poels; Ali Mustafa Tabish; Jelle Vlaanderen; Anjoeka Pronk; Eelco Kuijpers; Qing Lan; Roel Vermeulen; Bram Bekaert; Peter Hoet; Lode Godderis

Abstract This study was designed to assess the epigenetic alterations in blood cells, induced by occupational exposure to multi-wall carbon nanotubes (MWCNT). The study population comprised of MWCNT-exposed workers (n=24) and unexposed controls (n=43) from the same workplace. We measured global DNA methylation/hydroxymethylation levels on the 5th cytosine residues using a validated liquid chromatography tandem-mass spectrometry (LC-MS/MS) method. Sequence-specific methylation of LINE1 retrotransposable element 1 (L1RE1) elements, and promoter regions of functionally important genes associated with epigenetic regulation [DNA methyltransferase-1 (DNMT1) and histone deacetylase 4 (HDAC4)], DNA damage/repair and cell cycle pathways [nuclear protein, coactivator of histone transcription/ATM serine/threonine kinase (NPAT/ATM)], and a potential transforming growth factor beta (TGF-β) repressor [SKI proto-oncogene (SKI)] were studied using bisulfite pyrosequencing. Analysis of global DNA methylation levels and hydroxymethylation did not reveal significant difference between the MWCNT-exposed and control groups. No significant changes in Cytosine-phosphate-Guanine (CpG) site methylation were observed for the LINE1 (L1RE1) elements. Further analysis of gene-specific DNA methylation showed a significant change in methylation for DNMT1, ATM, SKI, and HDAC4 promoter CpGs in MWCNT-exposed workers. Since DNA methylation plays an important role in silencing/regulation of the genes, and many of these genes have been associated with occupational and smoking-induced diseases and cancer (risk), aberrant methylation of these genes might have a potential effect in MWCNT-exposed workers.


Journal of Developmental Origins of Health and Disease | 2017

The effect of paternal methyl-group donor intake on offspring DNA methylation and birth weight

Sara Pauwels; Ine Truijen; Manosij Ghosh; Radu Corneliu Duca; Sabine A.S. Langie; Bram Bekaert; Kathleen Freson; Inge Huybrechts; Gudrun Koppen; Roland Devlieger; Lode Godderis

Most nutritional studies on the development of children focus on mother-infant interactions. Maternal nutrition is critically involved in the growth and development of the fetus, but what about the father? The aim is to investigate the effects of paternal methyl-group donor intake (methionine, folate, betaine, choline) on paternal and offspring global DNA (hydroxy)methylation, offspring IGF2 DMR DNA methylation, and birth weight. Questionnaires, 7-day estimated dietary records, whole blood samples, and anthropometric measurements from 74 fathers were obtained. A total of 51 cord blood samples were collected and birth weight was obtained. DNA methylation status was measured using liquid chromatography-tandem mass spectrometry (global DNA (hydroxy)methylation) and pyrosequencing (IGF2 DMR methylation). Paternal betaine intake was positively associated with paternal global DNA hydroxymethylation (0.028% per 100 mg betaine increase, 95% CI: 0.003, 0.053, P=0.03) and cord blood global DNA methylation (0.679% per 100 mg betaine increase, 95% CI: 0.057, 1.302, P=0.03). Paternal methionine intake was positively associated with CpG1 (0.336% per 100 mg methionine increase, 95% CI: 0.103, 0.569, P=0.006), and mean CpG (0.201% per 100 mg methionine increase, 95% CI: 0.001, 0.402, P=0.049) methylation of the IGF2 DMR in cord blood. Further, a negative association between birth weight/birth weight-for-gestational age z-score and paternal betaine/methionine intake was found. In addition, a positive association between choline and birth weight/birth weight-for-gestational age z-score was also observed. Our data indicate a potential impact of paternal methyl-group donor intake on paternal global DNA hydroxymethylation, offspring global and IGF2 DMR DNA methylation, and prenatal growth.


Oncotarget | 2018

Single-walled and multi-walled carbon nanotubes induce sequence-specific epigenetic alterations in 16 HBE cells

Manosij Ghosh; Deniz Öner; Radu Corneliu Duca; Bram Bekaert; Jeroen Vanoirbeek; Lode Godderis; Peter Hoet

Recent studies have identified carbon nanotube (CNT)-induced epigenetic changes as one of the key players in patho-physiological response. In the present study, we investigated whether CNT exposure is associated with epigenetic changes in human bronchial epithelial cells (16 HBE), in vitro. We focused on global DNA methylation, methylation of LINE-1 elements and promoter sequence of twelve functionally important genes (SKI, DNMT1, HDAC4, NPAT, ATM, BCL2L11, MAP3K10, PIK3R2, MYO1C, TCF3, FGFR 1 and AGRN). Additionally, we studied the influence of CNT exposure on miRNA expression. Using a LC-MS/MS method and pyrosequencing for LINE-1, we observed no significant changes in global DNA methylation (%) between the concentrations of multi-walled and single-walled CNT (MWCNT and SWCNT, respectively). Significant changes in sequence-specific methylation was observed in at least one CpG site for DNMT1 (SWCNT), HDAC4 (MWCNT), NPAT/ATM (MWCNT and SWCNT), MAP3K10 (MWCNT), PIK3R2 (MWCNT and SWCNT) and MYO1C (SWCNT). While changes in DNA methylation of the genes were relatively small, these changes were associated with changes in RNA expression, especially for MWCNT. However, the study did not reveal any significant alteration in the miRNA expression, associated with MWCNT and SWCNT exposure. Based on our results, mainly MWCNT influence DNA methylation and expression of the studied genes and could have significant impact on several critical cellular processes.

Collaboration


Dive into the Bram Bekaert's collaboration.

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Ronny Decorte

Katholieke Universiteit Leuven

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Lode Godderis

Katholieke Universiteit Leuven

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Manosij Ghosh

Katholieke Universiteit Leuven

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Wim Van de Voorde

Katholieke Universiteit Leuven

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Nancy Vanderheyden

Katholieke Universiteit Leuven

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Deniz Öner

Katholieke Universiteit Leuven

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Peter Hoet

Katholieke Universiteit Leuven

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Maarten Larmuseau

Katholieke Universiteit Leuven

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Radu Corneliu Duca

Katholieke Universiteit Leuven

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Ali Mustafa Tabish

Katholieke Universiteit Leuven

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