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1. Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits

Author

Porcu, E. (Eleonora), Rueger, S. (Sina), Lepik, K. (Kaido), Agbessi, M. (Mawusse), Ahsan, H. (Habibul), Alves, I. (Isabel), Andiappan, A. (Anand), Arindrarto, W. (Wibowo), Awadalla, P. (Philip), Battle, A. (Alexis), Beutner, F. (Frank), Bonder, M. J. (Marc Jan), Boomsma, D. (Dorret), Christiansen, M. (Mark), Claringbould, A. (Annique), Deelen, P. (Patrick), Esko, T. (Tonu), Fave, M.-J. (Marie-Julie), Franke, L. (Lude), Frayling, T. (Timothy), Gharib, S. A. (Sina A.), Gibson, G. (Gregory), Heijmans, B. T. (Bastiaan T.), Hemani, G. (Gibran), Jansen, R. (Rick), Kahonen, M. (Mika), Kalnapenkis, A. (Anette), Kasela, S. (Silva), Kettunen, J. (Johannes), Kim, Y. (Yungil), Kirsten, H. (Holger), Kovacs, P. (Peter), Krohn, K. (Knut), Kronberg-Guzman, J. (Jaanika), Kukushkina, V. (Viktorija), Lee, B. (Bernett), Lehtimaki, T. (Terho), Loeffler, M. (Markus), Marigorta, U. M. (Urko M.), Mei, H. (Hailang), Milani, L. (Lili), Montgomery, G. W. (Grant W.), Mueler-Nurasyid, M. (Martina), Nauck, M. (Matthias), Nivard, M. (Michel), Penninx, B. (Brenda), Perola, M. (Markus), Pervjakova, N. (Natalia), Pierce, B. L. (Brandon L.), Powell, J. (Joseph), Prokisch, H. (Holger), Psaty, B. M. (Bruce M.), Raitakari, O. T. (Olli T.), Ripatti, S. (Samuli), Rotzschke, O. (Olaf), Saha, A. (Ashis), Scholz, M. (Markus), Schramm, K. (Katharina), Seppala, I. (Ilkka), Slagboom, E. P. (Eline P.), Stehouwer, C. D. (Coen D. A.), Stumvoll, M. (Michael), Sullivan, P. (Patrick), Teumer, A. (Alexander), Thiery, J. (Joachim), Tong, L. (Lin), Tonjes, A. (Anke), van Dongen, J. (Jenny), van Iterson, M. (Maarten), van Meurs, J. (Joyce), Veldink, J. H. (Jan H.), Verlouw, J. (Joost), Visscher, P. M. (Peter M.), Volker, U. (Uwe), Vosa, U. (Urmo), Westra, H.-J. (Harm-Jan), Wijmenga, C. (Cisca), Yaghootkar, H. (Hanieh), Yang, J. (Jian), Zeng, B. (Biao), Zhang, F. (Futao), Beekman, M. (Marian), Boomsma, D. I. (Dorret I.), Bot, J. (Jan), Deelen, J. (Joris), Hofman, B. A. (Bert A.), Hottenga, J. J. (Jouke J.), Isaacs, A. (Aaron), Jhamai, P. M. (P. Mila), Kielbasa, S. M. (Szymon M.), Lakenberg, N. (Nico), Luijk, R. (Rene), Mei, H. (Hailiang), Moed, M. (Matthijs), Nooren, I. (Irene), Pool, R. (Rene), Schalkwijk, C. G. (Casper G.), Slagboom, P. E. (P. Eline), Suchiman, H. E. (H. Eka D.), Swertz, M. A. (Morris A.), Tigchelaar, E. F. (Ettje F.), Uitterlinden, A. G. (Andre G.), van den Berg, L. H. (Leonard H.), van der Breggen, R. (Ruud), van der Kallen, C. J. (Carla J. H.), van Dijk, F. (Freerk), van Duijn, C. M. (Cornelia M.), van Galen, M. (Michiel), van Greevenbroek, M. M. (Marleen M. J.), van Heemst, D. (Diana), van Rooij, J. (Jeroen), Van't Hof, P. (Peter), van Zwet, E. W. (Erik. W.), Vermaat, M. (Martijn), Verbiest, M. (Michael), Verkerk, M. (Marijn), Zhernakova, D. V. (Dasha V.), Zhernakova, S. (Sasha), Santoni, F. A. (Federico A.), Reymond, A. (Alexandre), and Kutalik, Z. (Zoltan)

Abstract

Genome-wide association studies (GWAS) have identified thousands of variants associated with complex traits, but their biological interpretation often remains unclear. Most of these variants overlap with expression QTLs, indicating their potential involvement in regulation of gene expression. Here, we propose a transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) that uses multiple SNPs as instruments and multiple gene expression traits as exposures, simultaneously. Applied to 43 human phenotypes, it uncovers 3,913 putatively causal gene–trait associations, 36% of which have no genome-wide significant SNP nearby in previous GWAS. Using independent association summary statistics, we find that the majority of these loci were missed by GWAS due to power issues. Noteworthy among these links is educational attainment-associated BSCL2, known to carry mutations leading to a Mendelian form of encephalopathy. We also find pleiotropic causal effects suggestive of mechanistic connections. TWMR better accounts for pleiotropy and has the potential to identify biological mechanisms underlying complex traits.

Published
2019

2. 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 L.), Elbers, C.C. (Clara C.), Kloosterman, W.P. (Wigard), van Setten, J. (Jessica), Nijman, I.J. (Isaac), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, M. (Mathieu), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Pe’er, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, M.H. (Matthijs H.), Beekman, M. (Marian), Craen, A.J.M. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Jan Hottenga, J. (Jouke), Kattenberg, M. (Mathijs), Willemsen, G. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, van Oven, M. (Mannis), Kayser, M. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, H. (Hailiang), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J. (Jan), Marschall, T. (Tobias), Schönhuth, A. (Alexander), Hehir-Kwa, J.Y. (Jayne), Handsaker, R.E. (Robert), Polak, P. (Paz), Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada, K. (Karol), McCarroll, S.A. (Steven A.), Sunyaev, S.R. (Shamil R.), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, C. (Carolina), Oostra, B. (Ben), Veldink, J. (Jan), van den Berg, L.H. (Leonard H.), Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David R.), 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.B. (Gert-Jan) van, The Genome of the Netherlands Consortium, Nersisyan, L. (Lilit), Nikoghosyan, M. (Maria), Arakelyan, A. (Arsen), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara L.), Elbers, C.C. (Clara C.), Kloosterman, W.P. (Wigard), van Setten, J. (Jessica), Nijman, I.J. (Isaac), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, M. (Mathieu), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Pe’er, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, M.H. (Matthijs H.), Beekman, M. (Marian), Craen, A.J.M. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Jan Hottenga, J. (Jouke), Kattenberg, M. (Mathijs), Willemsen, G. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, van Oven, M. (Mannis), Kayser, M. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, H. (Hailiang), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J. (Jan), Marschall, T. (Tobias), Schönhuth, A. (Alexander), Hehir-Kwa, J.Y. (Jayne), Handsaker, R.E. (Robert), Polak, P. (Paz), Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada, K. (Karol), McCarroll, S.A. (Steven A.), Sunyaev, S.R. (Shamil R.), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, C. (Carolina), Oostra, B. (Ben), Veldink, J. (Jan), van den Berg, L.H. (Leonard H.), Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David R.), 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.B. (Gert-Jan) van, and The Genome of the Netherlands Consortium

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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3. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation

Author

Luijk, R. (René), Wu, H. (Haoyu), Ward-Caviness, C.K. (Cavin K.), Hannon, E. (Eilis), Carnero-Montoro, E. (Elena), Min, J. (Josine), Mandaviya, P.R. (Pooja), Müller-Nurasyid, M. (Martina), Mei, H. (Hailiang), Maarel, S.M. (Silvre) van der, Beekman, M. (Marian), der Breggen, R. (Ruud van), Deelen, J. (Joris), Lakenberg, N. (Nico), Moed, H. (Heleen), Suchiman, H.E.D. (Eka), Arindrarto, W. (Wibowo), van’t Hof, P. (Peter), Jan Bonder, M. (Marc), Deelen, P. (Patrick), Tigchelaar, E.F. (Ettje F.), Zhernakova, A. (Alexandra), Zhernakova, D.V. (Dasha V.), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Pool, R. (Reńe), Isaacs, A. (Aaron), Hofman, B.A. (Bert A.), Jhamai, M. (Mila), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Berg, L.H. (Leonard) van den, Van Galen, M. (Michiel), Vermaat, M. (Martijn), van Rooij, J. (Jeroen), Uitterlinden, A.G. (André), Verbiest, M.M.P.J. (Michael), Verkerk, M. (Marijn), Kielbasa, P.S.M. (P. Szymon M.), Bot, J.J. (Jan), Nooren, I. (Irene), Dijk, F. (Freerk) van, Swertz, M.A. (Morris A.), Heemst, D. (Diana) van, Relton, C.L. (Caroline), Mill, J. (Jonathan), Waldenberger, M. (Melanie), Bell, J.T. (Jordana T.), Jansen, R. (Rick), Franke, L. (Lude), ‘t Hoen, P.A.C. (Peter A. C.), Boomsma, D.I. (Dorret), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Meurs, J.B.J. (Joyce) van, Daxinger, L. (Lucia), Slagboom, P.E. (Eline), Zwet, E.W. (Erik) van, Heijmans, B.T. (Bastiaan T.), Luijk, R. (René), Wu, H. (Haoyu), Ward-Caviness, C.K. (Cavin K.), Hannon, E. (Eilis), Carnero-Montoro, E. (Elena), Min, J. (Josine), Mandaviya, P.R. (Pooja), Müller-Nurasyid, M. (Martina), Mei, H. (Hailiang), Maarel, S.M. (Silvre) van der, Beekman, M. (Marian), der Breggen, R. (Ruud van), Deelen, J. (Joris), Lakenberg, N. (Nico), Moed, H. (Heleen), Suchiman, H.E.D. (Eka), Arindrarto, W. (Wibowo), van’t Hof, P. (Peter), Jan Bonder, M. (Marc), Deelen, P. (Patrick), Tigchelaar, E.F. (Ettje F.), Zhernakova, A. (Alexandra), Zhernakova, D.V. (Dasha V.), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Pool, R. (Reńe), Isaacs, A. (Aaron), Hofman, B.A. (Bert A.), Jhamai, M. (Mila), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Berg, L.H. (Leonard) van den, Van Galen, M. (Michiel), Vermaat, M. (Martijn), van Rooij, J. (Jeroen), Uitterlinden, A.G. (André), Verbiest, M.M.P.J. (Michael), Verkerk, M. (Marijn), Kielbasa, P.S.M. (P. Szymon M.), Bot, J.J. (Jan), Nooren, I. (Irene), Dijk, F. (Freerk) van, Swertz, M.A. (Morris A.), Heemst, D. (Diana) van, Relton, C.L. (Caroline), Mill, J. (Jonathan), Waldenberger, M. (Melanie), Bell, J.T. (Jordana T.), Jansen, R. (Rick), Franke, L. (Lude), ‘t Hoen, P.A.C. (Peter A. C.), Boomsma, D.I. (Dorret), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Meurs, J.B.J. (Joyce) van, Daxinger, L. (Lucia), Slagboom, P.E. (Eline), Zwet, E.W. (Erik) van, and Heijmans, B.T. (Bastiaan T.)

Abstract

X-chromosome inactivation (XCI), i.e., the inactivation of one of the female X chromosomes, restores equal expression of X-chromosomal genes between females and males. However, ~10% of genes show variable degrees of escape from XCI between females, although little is known about the causes of variable XCI. Using a discovery data-set of 1867 females and 1398 males and a replication sample of 3351 females, we show that genetic variation at three autosomal loci is associated with female-specific changes in X-chromosome methylation. Through cis-eQTL expression analysis, we map these loci to the genes SMCHD1/METTL4, TRIM6/HBG2, and ZSCAN9. Low-expression alleles of the loci are predominantly associated with mild hypomethylation of CpG islands near genes known to variably escape XCI, implicating the autosomal genes in variable XCI. Together, these results suggest a genetic basis for variable escape from XCI and highlight the potential of a population genomics approach to identify genes involved in XCI.

Published
2018
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4. Genome-wide identification of directed gene networks using large-scale population genomics data

Author

Luijk, R. (René), Dekkers, K.F. (Koen F.), Iterson, M. (Maarten) van, Arindrarto, W. (Wibowo), Claringbould, A. (Annique), Hop, P. (Paul), Beekman, M. (Marian), Breggen, R. (Ruud) van der, Deelen, J. (Joris), Lakenberg, N. (Nico), Moed, H. (Heleen), Suchiman, H.E.D. (Eka), van ’t Hof, P. (Peter), Bonder, M.J. (Marc), Deelen, P. (Patrick), Tigchelaar, E.F. (Ettje F.), Zhernakova, A. (Alexandra), Zhernakova, D.V. (Dasha V.), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Pool, R. (Reńe), Isaacs, A. (Aaron), Hofman, B.A. (Bert A.), Jhamai, M. (Mila), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Berg, L.H. (Leonard) van den, Van Galen, M. (Michiel), Vermaat, M. (Martijn), van Rooij, J. (Jeroen), Uitterlinden, A.G. (André), Verbiest, M.M.P.J. (Michael), Verkerk, M. (Marijn), Kielbasa, P.S.M. (P. Szymon M.), Bot, J.J. (Jan), Nooren, I. (Irene), Dijk, F. (Freerk) van, Swertz, M.A. (Morris A.), Heemst, D. (Diana) van, Boomsma, D.I. (Dorret I.), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Franke, L. (Lude), ’t Hoen, P.A.C. (Peter A. C.), Jansen, R. (Rick), Meurs, J.B.J. (Joyce) van, Mei, H. (Hailiang), Slagboom, P.E. (Eline), Heijmans, B.T. (Bastiaan T.), Zwet, E.W. (Erik) van, Luijk, R. (René), Dekkers, K.F. (Koen F.), Iterson, M. (Maarten) van, Arindrarto, W. (Wibowo), Claringbould, A. (Annique), Hop, P. (Paul), Beekman, M. (Marian), Breggen, R. (Ruud) van der, Deelen, J. (Joris), Lakenberg, N. (Nico), Moed, H. (Heleen), Suchiman, H.E.D. (Eka), van ’t Hof, P. (Peter), Bonder, M.J. (Marc), Deelen, P. (Patrick), Tigchelaar, E.F. (Ettje F.), Zhernakova, A. (Alexandra), Zhernakova, D.V. (Dasha V.), Dongen, J. (Jenny) van, Hottenga, J.J. (Jouke Jan), Pool, R. (Reńe), Isaacs, A. (Aaron), Hofman, B.A. (Bert A.), Jhamai, M. (Mila), Kallen, C.J. van der, Schalkwijk, C.G. (Casper), Stehouwer, C.D. (Coen), Berg, L.H. (Leonard) van den, Van Galen, M. (Michiel), Vermaat, M. (Martijn), van Rooij, J. (Jeroen), Uitterlinden, A.G. (André), Verbiest, M.M.P.J. (Michael), Verkerk, M. (Marijn), Kielbasa, P.S.M. (P. Szymon M.), Bot, J.J. (Jan), Nooren, I. (Irene), Dijk, F. (Freerk) van, Swertz, M.A. (Morris A.), Heemst, D. (Diana) van, Boomsma, D.I. (Dorret I.), Duijn, C.M. (Cornelia) van, Greevenbroek, M.M. van, Veldink, J.H. (Jan), Wijmenga, C. (Cisca), Franke, L. (Lude), ’t Hoen, P.A.C. (Peter A. C.), Jansen, R. (Rick), Meurs, J.B.J. (Joyce) van, Mei, H. (Hailiang), Slagboom, P.E. (Eline), Heijmans, B.T. (Bastiaan T.), and Zwet, E.W. (Erik) van

Abstract

Identification of causal drivers behind regulatory gene networks is crucial in understanding gene function. Here, we develop a method for the large-scale inference of gene–gene interactions in observational population genomics data that are both directed (using local genetic instruments as causal anchors, akin to Mendelian Randomization) and specific (by controlling for linkage disequilibrium and pleiotropy). Analysis of genotype and whole-blood RNA-sequencing data from 3072 individuals identified 49 genes as drivers of downstream transcriptional changes (Wald P < 7 × 10−10), among which transcription factors were overrepresented (Fisher’s P = 3.3 × 10−7). Our analysis suggests new gene functions and targets, including for SENP7 (zinc-finger genes involved in retroviral repression) and BCL2A1 (target genes possibly involved in auditory dysfunction). Our work highlights the utility of population genomics data in deriving directed gene expression networks. A resource of trans-effects for all 6600 genes with a genetic instrument can be explored individually using a web-based browser.

Published
2018
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5. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

Author

Hehir-Kwa, J.Y. (Jayne), Marschall, T. (Tobias), Kloosterman, W.P. (Wigard), Francioli, L.C. (Laurent), Baaijens, J.A. (Jasmijn), Dijkstra, L.J. (Louis), Abdellaoui, A. (Abdel), Koval, V. (Vyacheslav), Thung, (), D.T. (Djie Tjwan), Wardenaar, R. (René), Renkens, I. (Ivo), Coe, B.P. (Bradley), Deelen, P. (Patrick), Ligt, J. (Joep) de, Lameijer, E.-W. (Eric-Wubbo), Dijk, F. (Freerk) van, Hormozdiari, F. (Fereydoun), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Eichler, E.E. (Evan), Bakker, P.I.W. (Paul) de, Swertz, M.A. (Morris), Wijmenga, C. (Cisca), Ommen, G.-J.B. (Gert-Jan) van, Slagboom, P.E. (Eline), Boomsma, D.I. (Dorret), Schönhuth, A. (Alexander), Ye, K. (Kai), Guryev, V. (Victor), Bovenberg, J.A. (Jasper), Craen, A.J.M. (Anton) de, Beekman, M. (Marian), Hofman, A. (Albert), Willemsen, G. (Gonneke), Wolffenbuttel, B. (Bruce), Platteel, M. (Mathieu), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Cao, R. (Rui), Sun, Y. (Yushen), Cao, J.S. (Jeremy Sujie), Neerincx, P.B.T. (Pieter), Dijkstra, M. (Martijn), Byelas, G. (George), Kanterakis, A. (Alexandros), Bot, J. (Jan), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen), Dunnen, J.T. (Johan) den, Knijff, P. (Peter) de, Karssen, L.C. (Lennart), van Leeuwen, E.M. (Elisa), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Estrada, K. (Karol), Hottenga, J.-J. (Jouke-Jan), Kattenberg, V.M. (Mathijs), Enckevort, D. (David) van, Mei, H. (Hailiang), Santcroos, M. (Mark), Schaik, B.D.C. (Barbera) van, Handsaker, R.E. (Robert), McCarroll, S.A. (Steven), Ko, A. (Arthur), Sudmant, P. (Peter), Nijman, I.J. (Isaac), Hehir-Kwa, J.Y. (Jayne), Marschall, T. (Tobias), Kloosterman, W.P. (Wigard), Francioli, L.C. (Laurent), Baaijens, J.A. (Jasmijn), Dijkstra, L.J. (Louis), Abdellaoui, A. (Abdel), Koval, V. (Vyacheslav), Thung, (), D.T. (Djie Tjwan), Wardenaar, R. (René), Renkens, I. (Ivo), Coe, B.P. (Bradley), Deelen, P. (Patrick), Ligt, J. (Joep) de, Lameijer, E.-W. (Eric-Wubbo), Dijk, F. (Freerk) van, Hormozdiari, F. (Fereydoun), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Eichler, E.E. (Evan), Bakker, P.I.W. (Paul) de, Swertz, M.A. (Morris), Wijmenga, C. (Cisca), Ommen, G.-J.B. (Gert-Jan) van, Slagboom, P.E. (Eline), Boomsma, D.I. (Dorret), Schönhuth, A. (Alexander), Ye, K. (Kai), Guryev, V. (Victor), Bovenberg, J.A. (Jasper), Craen, A.J.M. (Anton) de, Beekman, M. (Marian), Hofman, A. (Albert), Willemsen, G. (Gonneke), Wolffenbuttel, B. (Bruce), Platteel, M. (Mathieu), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Cao, R. (Rui), Sun, Y. (Yushen), Cao, J.S. (Jeremy Sujie), Neerincx, P.B.T. (Pieter), Dijkstra, M. (Martijn), Byelas, G. (George), Kanterakis, A. (Alexandros), Bot, J. (Jan), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen), Dunnen, J.T. (Johan) den, Knijff, P. (Peter) de, Karssen, L.C. (Lennart), van Leeuwen, E.M. (Elisa), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Estrada, K. (Karol), Hottenga, J.-J. (Jouke-Jan), Kattenberg, V.M. (Mathijs), Enckevort, D. (David) van, Mei, H. (Hailiang), Santcroos, M. (Mark), Schaik, B.D.C. (Barbera) van, Handsaker, R.E. (Robert), McCarroll, S.A. (Steven), Ko, A. (Arthur), Sudmant, P. (Peter), and Nijman, I.J. (Isaac)

Abstract

Structural variation (SV) represents a major source of differences between individual human genomes and has been linked to disease phenotypes. However, the majority of studies provide neither a global view of the full spectrum of these variants nor integrate them into reference panels of genetic variation. Here, we analyse whole genome sequencing data of 769 individuals from 250 Dutch families, and provide a haplotype-resolved map of 1.9 million genome variants across 9 different variant classes, including novel forms of complex indels, and retrotransposition-mediated insertions of mobile elements and processed RNAs. A large proportion are previously under reported variants sized between 21 and 100 bp. We detect 4 megabases of novel sequence, encoding 11 new transcripts. Finally, we show 191 known, trait-associated SNPs to be in strong linkage disequilibrium with SVs and demonstrate that our panel facilitates accurate imputation of SVs in unrelated individuals.

Published
2016
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6. SV-AUTOPILOT: optimized, automated construction of structural variation discovery and benchmarking pipelines

Author

Leung, W.Y., Marschall, T. (Tobias), Paudel, Y., Falquet, L., Mei, H. (Hailiang), Schönhuth, A. (Alexander), Maoz, T.Y., Leung, W.Y., Marschall, T. (Tobias), Paudel, Y., Falquet, L., Mei, H. (Hailiang), Schönhuth, A. (Alexander), and Maoz, T.Y.

Abstract

Background Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms. However, they have largely been developed and tested on human germline or somatic (e.g. cancer) variation. It seems appropriate to exploit this wealth of technology available for humans also for other species. Objectives of this work included: a) Creating an automated, standardized pipeline for SV prediction. b) Identifying the best tool(s) for SV prediction through benchmarking. c) Providing a statistically sound method for merging SV calls. Results The SV-AUTOPILOT meta-tool platform is an automated pipeline for standardization of SV prediction and SV tool development in paired-end next-generation sequencing (NGS) analysis. SV-AUTOPILOT comes in the form of a virtual machine, which includes all datasets, tools and algorithms presented here. The virtual machine easily allows one to add, replace and update genomes, SV callers and post-processing routines and therefore provides an easy, out-of-the-box environment for complex SV discovery tasks. SV-AUTOPILOT

Published
2015
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