The Genome of the Netherlands: design, and project goals

Dorret I. Boomsma, Cisca Wijmenga(University Medical Center Groningen), P. Eline Slagboom(Leiden University Medical Center), Morris A. Swertz(University Medical Center Groningen), Lennart C. Karssen(Erasmus MC), Abdel Abdellaoui, Kai Ye(Leiden University Medical Center), Victor Guryev(Royal Netherlands Academy of Arts and Sciences), Martijn Vermaat(Radboud University Nijmegen), Freerk van Dijk(University Medical Center Groningen), Laurent C. Francioli(University Medical Center Utrecht), Jouke Jan Hottenga, Jeroen F. J. Laros(Radboud University Nijmegen), Qibin Li(BGI Group (China)), Yingrui Li(BGI Group (China)), Hongzhi Cao(BGI Group (China)), Ruoyan Chen(BGI Group (China)), Yuanping Du(BGI Group (China)), Ning Li(BGI Europe (Denmark)), Sujie Cao(BGI Europe (Denmark)), Jessica van Setten(University Medical Center Utrecht), Androniki Menelaou(University Medical Center Utrecht), Sara L. Pulit(University Medical Center Utrecht), Jayne Y. Hehir‐Kwa(Radboud University Nijmegen), Marian Beekman(Leiden University), Clara C. Elbers(University Medical Center Utrecht), Heorhiy Byelas(University Medical Center Groningen), Anton J. M. de Craen(Leiden University), Patrick Deelen(University Medical Center Groningen), Martijn Dijkstra(University Medical Center Groningen), Johan T. den Dunnen(Leiden University Medical Center), Peter de Knijff(Leiden University Medical Center), Jeanine J. Houwing‐Duistermaat(Leiden University), Vyacheslav Koval(Erasmus University Rotterdam), Karol Estrada(Erasmus University Rotterdam), Albert Hofman(Erasmus MC), Alexandros Kanterakis(University Medical Center Groningen), David van Enckevort(Netherlands Bioinformatics Centre), Hailiang Mai(Netherlands Bioinformatics Centre), Mathijs Kattenberg, Elisabeth M van Leeuwen(Erasmus MC), Pieter B. Neerincx(University Medical Center Groningen), Ben A. Oostra, Fernanodo Rivadeneira(Erasmus University Rotterdam), H. Eka D. Suchiman(Leiden University Medical Center), André G. Uitterlinden(Erasmus University Rotterdam), Gonneke Willemsen, Bruce H. R. Wolffenbuttel(University Medical Center Groningen), Jun Wang(University of Copenhagen), Paul I. W. de Bakker(University Medical Center Utrecht), Gert-Jan van Ommen(Leiden University), Cornelia M. van Duijn(Erasmus MC)
European Journal of Human Genetics
May 29, 2013
Cited by 284Open Access
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Abstract

Within the Netherlands a national network of biobanks has been established (Biobanking and Biomolecular Research Infrastructure-Netherlands (BBMRI-NL)) as a national node of the European BBMRI. One of the aims of BBMRI-NL is to enrich biobanks with different types of molecular and phenotype data. Here, we describe the Genome of the Netherlands (GoNL), one of the projects within BBMRI-NL. GoNL is a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population. The parent-offspring trios include adult individuals ranging in age from 19 to 87 years (mean=53 years; SD=16 years) from birth cohorts 1910-1994. Sequencing was done on blood-derived DNA from uncultured cells and accomplished coverage was 14-15x. The family-based design represents a unique resource to assess the frequency of regional variants, accurately reconstruct haplotypes by family-based phasing, characterize short indels and complex structural variants, and establish the rate of de novo mutational events. GoNL will also serve as a reference panel for imputation in the available genome-wide association studies in Dutch and other cohorts to refine association signals and uncover population-specific variants. GoNL will create a catalog of human genetic variation in this sample that is uniquely characterized with respect to micro-geographic location and a wide range of phenotypes. The resource will be made available to the research and medical community to guide the interpretation of sequencing projects. The present paper summarizes the global characteristics of the project.


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