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1. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

Author

Nersisyan, L. (Lilit), Nikoghosyan, M. (Maria), Arakelyan, A. (Arsen), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Elbers, C.C. (Clara), Kloosterman, W.P. (Wigard), Setten, J. (Jessica) van, Nijman, I.J. (Isaac ), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter B T), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, I. (Inge), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Peer, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, H. (Heleen), Beekman, M. (Marian), Craen, A.J. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Hottenga, J.J. (Jouke Jan), Kattenberg, V.M. (Mathijs), Willemsen, G.A.H.M. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A.J. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Oven, M. (Mannis) van, Kayser, M.H. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen F.), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, S. (Shan), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J.J. (Jan), Marschall, T. (Tanja), Schönhuth, A. (Alexander), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada Gil, K. (Karol), McCarroll, S.A. (Steve), Sunyaev, S.R. (Shamil), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, M.C. (Carolina), Oostra, B.A. (Ben), Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David), Knijff, P. (Peter) de, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, J.A. (Jasper), Ommen, G.J. (Gert) van, Nersisyan, L. (Lilit), Nikoghosyan, M. (Maria), Arakelyan, A. (Arsen), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Elbers, C.C. (Clara), Kloosterman, W.P. (Wigard), Setten, J. (Jessica) van, Nijman, I.J. (Isaac ), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter B T), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, I. (Inge), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Peer, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, H. (Heleen), Beekman, M. (Marian), Craen, A.J. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Hottenga, J.J. (Jouke Jan), Kattenberg, V.M. (Mathijs), Willemsen, G.A.H.M. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A.J. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Oven, M. (Mannis) van, Kayser, M.H. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen F.), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, S. (Shan), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J.J. (Jan), Marschall, T. (Tanja), Schönhuth, A. (Alexander), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada Gil, K. (Karol), McCarroll, S.A. (Steve), Sunyaev, S.R. (Shamil), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, M.C. (Carolina), Oostra, B.A. (Ben), Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David), Knijff, P. (Peter) de, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, J.A. (Jasper), and Ommen, G.J. (Gert) van

Abstract

Telomere length (TL) regulation is an important factor in ageing, reproduction and cancer development. Genetic, hereditary and environmental factors regulating TL are currently widely investigated, however, their relative contribution to TL variability is still understudied. We have used whole genome sequencing data of 250 family trios from the Genome of the Netherlands project to perform computational measurement of TL and a series of regression and genome-wide association analyses to reveal TL inheritance patterns and associated genetic factors. Our results confirm that TL is a largely heritable trait, primarily with mother’s, and, to a lesser extent, with father’s TL having the strongest influence on the offspring. In this cohort, mother’s, but not father’s age at conception was positively linked to offspring TL. Age-related TL attrition of 40 bp/year had relatively small influence on TL variability. Finally, we have identified TL-associated variations in ribonuclease reductase catalytic subunit M1 (RRM1 gene), which is known to regulate telomere maintenance in yeast. We also highlight the importance of multivariate approach and the limitations of existing tools for the analysis of TL as a polygenic heritable quantitative trait.

Published
2019
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2. Skewed X-inactivation is common in the general female population

Author

Shvetsova, E. (Ekaterina), Sofronova, A. (Alina), Monajemi, R. (Ramin), Gagalova, K. (Kristina), Draisma, G. (Gerrit), White, S.J. (Stefan), Santen, G.W.E. (Gijs), Chuva De Sousa Lopes, S.M. (Susana M.), Heijmans, B.T. (Bastiaan T.), van Meurs, J. (Joyce), Jansen, R. (Rick), Franke, L. (Lude), Kielbasa, S.M. (Szymon M.), Dunnen, J.T. (Johan) den, ‘t Hoen, P.A.C. (Peter A. C.), Heijmans, B.T. (Bastiaan T), Meurs, J.B.J. (Joyce) van, Boomsma, D.I. (Dorret), Pool, R. (Reńe), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Greevenbroek, M.M. van, Stehouwer, C.D. (Coen Da), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Wijmenga, C. (Cisca), Zhernakova, S. (Sasha), Tigchelaar, E.F. (Ettje F.), Slagboom, P.E. (Eline), Beekman, M. (Marian), Deelen, J. (Joris), Heemst, D. (Diana) van, Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Duijn, C.M. (Cornelia) van, Hofman, B.A. (Bert A), Uitterlinden, A.G. (André), Jhamai, P.M. (Mila), Verbiest, M.M.P.J. (Michael), Suchiman, H.E.D. (H Eka D), Verkerk, M. (Marijn), Breggen, R. (Ruud) van der, van Rooij, J. (Jeroen), Lakenberg, N. (Nico), Mei, S. (Shan), Bot, J. (Jan), Zhernakova, D.V. (Dasha V), van ’t Hof, P. (Peter), Deelen, P. (Patrick), Nooren, I. (Irene), Moed, H. (Heleen), Vermaat, M. (Martijn), Luijk, R. (René), Jan Bonder, M. (Marc), Iterson, M. (Maarten) van, van Dijk, F. (Freerk), Van Galen, M. (Michiel), Arindrarto, W. (Wibowo), Swertz, M.A. (Morris A), Zwet, E.W. (Erik) van, Isaacs, A.J. (Aaron), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Dijk, F. (Freerk) van, Palamara, P.F. (Pier Francesco), Elbers, C.C. (Clara), Neerincx, P.B.T. (Pieter B T), Ye, K. (K.), Guryev, V. (Victor), Kloosterman, W. (Wp), Abdellaoui, A. (Abdel), van Leeuwen, E. (Em), Oven, M. (Mannis) van, Li, M. (M.), Laros, J. (Jf), Karssen, L.C. (Lennart), Kanterakis, A. (Alexandros), Amin, N. (Najaf), Hottenga, J. (Jj), Lameijer, E. (Ew), Kattenberg, V.M. (Mathijs), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), Setten, J. (Jessica) van, van Schaik, B. (Bd), Bot, J.J. (Jan), Nijman, I. (Ij), Renkens, I. (Ivo), Marschall, T. (Tanja), Schönhuth, A. (A.), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Hormozdiari, F. (Fereydoun), Enckevort, D. (David) van, Mei, H. (H.), Koval, V. (Vyacheslav), Moed, M. (Mh), van der Velde, K. (Kj), Rivadeneira Ramirez, F. (Fernando), Estrada Gil, K. (Karol), Medina-Gomez, M.C. (Carolina), McCarroll, S. (Sa), de Craen, A. (Aj), Suchiman, H. (He), Hofman, B. (Ba), Oostra, B.A. (Ben), Uitterlinden, A. (Ag), Willemsen, G.A.H.M. (Gonneke), Platteel, I. (Inge), Veldink, J. (Jh), van den Berg, L. (Lh), Pitts, S. (Sj), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D. (Dr), Sunyaev, S. (Sr), den Dunnen, J. (Jt), Stoneking, M. (Mark), Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Li, Q. (Q.), Li, Y. (Y.), Du, Y. (Y.), Chen, R. (R.), Cao, H. (H.), Li, N. (N.), Cao, S. (Sherry), Wang, J. (J.), Bovenberg, J.A. (Jasper), Peer, I. (Itsik), Slagboom, P. (Pe), van Duijn, C. (Cm), Boomsma, D. (Di), van Ommen, G. (Gj), de Bakker, P. (Pi), Swertz, M. (Ma), Wijmenga, C. (C.), Shvetsova, E. (Ekaterina), Sofronova, A. (Alina), Monajemi, R. (Ramin), Gagalova, K. (Kristina), Draisma, G. (Gerrit), White, S.J. (Stefan), Santen, G.W.E. (Gijs), Chuva De Sousa Lopes, S.M. (Susana M.), Heijmans, B.T. (Bastiaan T.), van Meurs, J. (Joyce), Jansen, R. (Rick), Franke, L. (Lude), Kielbasa, S.M. (Szymon M.), Dunnen, J.T. (Johan) den, ‘t Hoen, P.A.C. (Peter A. C.), Heijmans, B.T. (Bastiaan T), Meurs, J.B.J. (Joyce) van, Boomsma, D.I. (Dorret), Pool, R. (Reńe), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Greevenbroek, M.M. van, Stehouwer, C.D. (Coen Da), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Wijmenga, C. (Cisca), Zhernakova, S. (Sasha), Tigchelaar, E.F. (Ettje F.), Slagboom, P.E. (Eline), Beekman, M. (Marian), Deelen, J. (Joris), Heemst, D. (Diana) van, Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Duijn, C.M. (Cornelia) van, Hofman, B.A. (Bert A), Uitterlinden, A.G. (André), Jhamai, P.M. (Mila), Verbiest, M.M.P.J. (Michael), Suchiman, H.E.D. (H Eka D), Verkerk, M. (Marijn), Breggen, R. (Ruud) van der, van Rooij, J. (Jeroen), Lakenberg, N. (Nico), Mei, S. (Shan), Bot, J. (Jan), Zhernakova, D.V. (Dasha V), van ’t Hof, P. (Peter), Deelen, P. (Patrick), Nooren, I. (Irene), Moed, H. (Heleen), Vermaat, M. (Martijn), Luijk, R. (René), Jan Bonder, M. (Marc), Iterson, M. (Maarten) van, van Dijk, F. (Freerk), Van Galen, M. (Michiel), Arindrarto, W. (Wibowo), Swertz, M.A. (Morris A), Zwet, E.W. (Erik) van, Isaacs, A.J. (Aaron), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Dijk, F. (Freerk) van, Palamara, P.F. (Pier Francesco), Elbers, C.C. (Clara), Neerincx, P.B.T. (Pieter B T), Ye, K. (K.), Guryev, V. (Victor), Kloosterman, W. (Wp), Abdellaoui, A. (Abdel), van Leeuwen, E. (Em), Oven, M. (Mannis) van, Li, M. (M.), Laros, J. (Jf), Karssen, L.C. (Lennart), Kanterakis, A. (Alexandros), Amin, N. (Najaf), Hottenga, J. (Jj), Lameijer, E. (Ew), Kattenberg, V.M. (Mathijs), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), Setten, J. (Jessica) van, van Schaik, B. (Bd), Bot, J.J. (Jan), Nijman, I. (Ij), Renkens, I. (Ivo), Marschall, T. (Tanja), Schönhuth, A. (A.), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Hormozdiari, F. (Fereydoun), Enckevort, D. (David) van, Mei, H. (H.), Koval, V. (Vyacheslav), Moed, M. (Mh), van der Velde, K. (Kj), Rivadeneira Ramirez, F. (Fernando), Estrada Gil, K. (Karol), Medina-Gomez, M.C. (Carolina), McCarroll, S. (Sa), de Craen, A. (Aj), Suchiman, H. (He), Hofman, B. (Ba), Oostra, B.A. (Ben), Uitterlinden, A. (Ag), Willemsen, G.A.H.M. (Gonneke), Platteel, I. (Inge), Veldink, J. (Jh), van den Berg, L. (Lh), Pitts, S. (Sj), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D. (Dr), Sunyaev, S. (Sr), den Dunnen, J. (Jt), Stoneking, M. (Mark), Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Li, Q. (Q.), Li, Y. (Y.), Du, Y. (Y.), Chen, R. (R.), Cao, H. (H.), Li, N. (N.), Cao, S. (Sherry), Wang, J. (J.), Bovenberg, J.A. (Jasper), Peer, I. (Itsik), Slagboom, P. (Pe), van Duijn, C. (Cm), Boomsma, D. (Di), van Ommen, G. (Gj), de Bakker, P. (Pi), Swertz, M. (Ma), and Wijmenga, C. (C.)

Abstract

X-inactivation is a well-established dosage compensation mechanism ensuring that X-chromosomal genes are expressed at comparable levels in males and females. Skewed X-inactivation is often explained by negative selection of one of the alleles. We demonstrate that imbalanced expression of the paternal and maternal X-chromosomes is common in the general population and that the random nature of the X-inactivation mechanism can be sufficient to explain the imbalance. To this end, we analyzed blood-derived RNA and whole-genome sequencing data from 79 female children and their parents from the Genome of the Netherlands project. We calculated the median ratio of the paternal over total counts at all X-chromosomal heterozygous single-nucleotide variants with coverage ≥10. We identified two individuals where the same X-chromosome was inactivated in all cells. Imbalanced expression of the two X-chromosomes (ratios ≤0.35 or ≥0.65) was observed in nearly 50% of the population. The empirically observed skewing is explained by a theoretical model where X-inactivation takes place in an embryonic stage in which eight cells give rise to the hematopoietic compartment. Genes escaping X-inactivation are expressed from both alleles and therefore demonstrate less skewing than inactivated genes. Using this characteristic, we identified three novel escapee genes (SSR4, REPS2, and SEPT6), but did not find support for many previously reported escapee genes in blood. Our collective data suggest that skewed X-inactivation is common in the general population. This may contribute to manifestation of symptoms in carriers of recessive X-linked disorders. We recommend that X-inactivation results should not be used lightly in the interpretation of X-linked variants.

Published
2018
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3. Blood lipids influence DNA methylation in circulating cells

Author

Dekkers, K.F. (Koen F.), Iterson, M. (Maarten) van, Slieker, R. (Roderick), Moed, H. (Heleen), Bonder, M.J. (Marc), Van Galen, M. (Michiel), Mei, S. (Shan), Zhernakova, A. (Alexandra), Berg, L.H. (Leonard) van den, Deelen, J. (Joris), Dongen, J. (Jenny) van, Heemst, D. (Diana) van, Hofman, A. (Albert), Hottenga, J.J. (Jouke Jan), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Tigchelaar, E.F. (Ettje F.), Uitterlinden, A.G. (André), Willemsen, G.A.H.M. (Gonneke), Franke, L. (Lude), 't Hoen, P.A.C. (Peter A.C.), Jansen, R., Meurs, J.B.J. (Joyce) van, Boomsma, D.I. (Dorret), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Zwet, E.W. (Erik) van, Slagboom, P.E. (Eline), Jukema, J.W. (Jan Wouter), Heijmans, B.T. (Bastiaan), Dekkers, K.F. (Koen F.), Iterson, M. (Maarten) van, Slieker, R. (Roderick), Moed, H. (Heleen), Bonder, M.J. (Marc), Van Galen, M. (Michiel), Mei, S. (Shan), Zhernakova, A. (Alexandra), Berg, L.H. (Leonard) van den, Deelen, J. (Joris), Dongen, J. (Jenny) van, Heemst, D. (Diana) van, Hofman, A. (Albert), Hottenga, J.J. (Jouke Jan), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Tigchelaar, E.F. (Ettje F.), Uitterlinden, A.G. (André), Willemsen, G.A.H.M. (Gonneke), Franke, L. (Lude), 't Hoen, P.A.C. (Peter A.C.), Jansen, R., Meurs, J.B.J. (Joyce) van, Boomsma, D.I. (Dorret), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Zwet, E.W. (Erik) van, Slagboom, P.E. (Eline), Jukema, J.W. (Jan Wouter), and Heijmans, B.T. (Bastiaan)

Abstract

Background: Cells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals. Results: This analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and A

Published
2016
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4. Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

Author

Slieker, R. (Roderick), Iterson, M. (Maarten) van, Luijk, R. (René), Beekman, M. (Marian), Zhernakova, A. (Alexandra), Moed, H. (Heleen), Mei, S. (Shan), Van Galen, M. (Michiel), Deelen, P. (Patrick), Bonder, M.J. (Marc), Uitterlinden, A.G. (André), Tigchelaar, E.F. (Ettje F.), Stehouwer, C.D.A. (Coen D.A.), Schalkwijk, C.G. (Casper), Kallen, C.J. van der, Hofman, A. (Albert), Heemst, D. (Diana) van, Geus, E.J.C. (Eco) de, Dongen, J. (Jenny) van, Deelen, J. (Joris), Berg, L.H. (Leonard) van den, Meurs, J.B.J. (Joyce) van, Jansen, R., Hoen, P.A.C. (Peter) 't, Franke, L. (Lude), Wijmenga, C. (Cisca), Veldink, J.H. (Jan), Swertz, M. (Morris), Greevenbroek, M.M. van, Duijn, C.M. (Cornelia) van, Boomsma, D.I. (Dorret), Slagboom, P.E. (Eline), Heijmans, B.T. (Bastiaan), Slieker, R. (Roderick), Iterson, M. (Maarten) van, Luijk, R. (René), Beekman, M. (Marian), Zhernakova, A. (Alexandra), Moed, H. (Heleen), Mei, S. (Shan), Van Galen, M. (Michiel), Deelen, P. (Patrick), Bonder, M.J. (Marc), Uitterlinden, A.G. (André), Tigchelaar, E.F. (Ettje F.), Stehouwer, C.D.A. (Coen D.A.), Schalkwijk, C.G. (Casper), Kallen, C.J. van der, Hofman, A. (Albert), Heemst, D. (Diana) van, Geus, E.J.C. (Eco) de, Dongen, J. (Jenny) van, Deelen, J. (Joris), Berg, L.H. (Leonard) van den, Meurs, J.B.J. (Joyce) van, Jansen, R., Hoen, P.A.C. (Peter) 't, Franke, L. (Lude), Wijmenga, C. (Cisca), Veldink, J.H. (Jan), Swertz, M. (Morris), Greevenbroek, M.M. van, Duijn, C.M. (Cornelia) van, Boomsma, D.I. (Dorret), Slagboom, P.E. (Eline), and Heijmans, B.T. (Bastiaan)

Abstract

Background: Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Results: Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related g

Published
2016
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5. CGtag: Complete genomics toolkit and annotation in a cloud-based Galaxy

Author

Hiltemann, S. (Saskia), Mei, S. (Shan), Hollander, M. (Mattias) de, Palli, D. (Domenico), Spek, P.J. (Peter) van der, Jenster, G.W. (Guido), Stubbs, A.P. (Andrew), Hiltemann, S. (Saskia), Mei, S. (Shan), Hollander, M. (Mattias) de, Palli, D. (Domenico), Spek, P.J. (Peter) van der, Jenster, G.W. (Guido), and Stubbs, A.P. (Andrew)

Abstract

Background: Complete Genomics provides an open-source suite of command-line tools for the analysis of their CG-formatted mapped sequencing files. Determination of; for example, the functional impact of detected variants, requires annotation with various databases that often require command-line and/or programming experience; thus, limiting their use to the average research scientist. We have therefore implemented this CG toolkit, together with a number of annotation, visualisation and file manipulation tools in Galaxy called CGtag (Complete Genomics Toolkit and Annotation in a Cloud-based Galaxy).Findings: In order to provide research scientists with web-based, simple and accurate analytical and visualisation applications for the selection of candidate mutations from Complete Genomics data, we have implemented the open-source Complete Genomics tool set, CGATools, in Galaxy. In addition we implemented some of the most popular command-line annotation and visualisation tools to allow research scientists to select candidate pathological mutations (SNV, and indels). Furthermore, we have developed a cloud-based public Galaxy instance to host the CGtag toolkit and other associated modules.Conclusions: CGtag provides a user-friendly interface to all research scientists wishing to select candidate variants from CG or other next-generation sequencing platforms' data. By using a cloud-based infrastructure, we can also assure sufficient and on-demand computation and storage resources to handle the analysis tasks. The tools are freely available for use from an NBIC/CTMM-TraIT (The Netherlands Bioinformatics Center/Center for Translational Molecular Medicine) cloud-based Galaxy instance, or can be installed to a local (production) Galaxy via the NBIC Galaxy tool shed.

Published
2014
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6. Endoplasmic Reticulum Stress, Unfolded Protein Response and Altered T Cell Differentiation in Necrotizing Enterocolitis

Author

Lu, P. (Peng), Struijs, A.E.C.J.M. (Marie-Chantal), Mei, S. (Shan), Witte-Bouma, J. (Janneke), Korteland-van Male, A.M. (Anita), Bruijn, A.C.J.M. (Adrianus) de, Goudoever, J.B. (Hans) van, Renes, I.B. (Ingrid), Lu, P. (Peng), Struijs, A.E.C.J.M. (Marie-Chantal), Mei, S. (Shan), Witte-Bouma, J. (Janneke), Korteland-van Male, A.M. (Anita), Bruijn, A.C.J.M. (Adrianus) de, Goudoever, J.B. (Hans) van, and Renes, I.B. (Ingrid)

Abstract

Background:Endoplasmic reticulum (ER) stress and activation of the unfolded protein response (UPR) play important roles in chronic intestinal inflammation. Necrotizing enterocolitis (NEC) is the most common gastrointestinal emergency in preterm infants and is characterized by acute intestinal inflammation and necrosis. The objective of the study is to investigate the role of ER stress and the UPR in NEC patients.Methods:Ileal tissues from NEC and control patients were obtained during surgical resection and/or at stoma closure. Splicing of XBP1 was detected using PCR, and gene expression was quantified using qPCR and Western blot.Results:Splicing of XBP1 was only detected in a subset of acute NEC (A-NEC) patients, and not in NEC patients who had undergone reanastomosis (R-NEC). The other ER stress and the UPR pathways, PERK and ATF6, were not activated in NEC patients. A-NEC patients showing XBP1 splicing (A-NEC-XBP1s) had increased mucosal expression of GRP78, CHOP, IL6 and IL8. Similar results were obtained by inducing ER stress and the UPR in vitro. A-NEC-XBP1s patients showed altered T cell differentiation indicated by decreased mucosal expression of RORC, IL17A and FOXP3. A-NEC-XBP1s patients additionally showed more severe morphological damage and a worse surgical outcome. Compared with A-NEC patients, R-NEC patients showed lower mucosal IL6 and IL8 expression and higher mucosal FOXP3 expression.Conclusions:XBP1 splicing, ER stress and the UPR in NEC are associated with increased IL6 and IL8 expression levels, altered T cell differentiation and severe epithelial injury.

Published
2013
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7. Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam

Author

Mei, S. (Shan), Quax, R. (Rick), Vijver, D.A.M.C. (David) van de, Zhu, Y. (Yifan), Sloot, P.M.A. (Peter), Mei, S. (Shan), Quax, R. (Rick), Vijver, D.A.M.C. (David) van de, Zhu, Y. (Yifan), and Sloot, P.M.A. (Peter)

Abstract

Background: The transmission through contacts among MSM (men who have sex with men) is one of the dominating contributors to HIV prevalence in industrialized countries. In Amsterdam, the capital of the Netherlands, the MSM risk group has been traced for decades. This has motivated studies which provide detailed information about MSM's risk behavior statistically, psychologically and sociologically. Despite the era of potent antiretroviral therapy, the incidence of HIV among MSM increases. In the long term the contradictory effects of risk behavior and effective therapy are still poorly understood.Methods: Using a previously presented Complex Agent Network model, we describe steady and casual partnerships to predict the HIV spreading among MSM. Behavior-related parameters and values, inferred from studies on Amsterdam MSM, are fed into the model; we validate the model using historical yearly incidence data. Subsequently, we study scenarios to assess the contradictory effects of risk behavior and effective therapy, by varying corresponding values of parameters. Finally, we conduct quantitative analysis based on the resulting incidence data.Re

Published
2011
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