Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis

Mine Als Sequencing Consortium Project Mine Als Sequencing Consortium*, Sara L. Pulit, Annelot M. Dekker, Ahmad Al Khleifat, William J. Brands, Alfredo Iacoangeli, Kevin P. Kenna, Ersen Kavak, Maarten Kooyman, Russell L. McLaughlin, Bas Middelkoop, Matthieu Moisse, Raymond D. Schellevis, Aleksey Shatunov, William Sproviero, Gijs H.P. Tazelaar, Rick A.A. van der Spek, Perry T.C. van Doormaal, Kristel R. van Eijk, Joke van VugtA. Nazli Basak, Ian P. Blair, Jonathan D. Glass, Orla Hardiman, Winston Hide, John E. Landers, Jesus S. Mora, Karen E. Morrison, Stephen Newhouse, Wim Robberecht, Christopher E. Shaw, Pamela J. Shaw, Philip van Damme, Michael A. van Es, Naomi R. Wray, Ammar Al-Chalabi, Leonard H. van Den Berg, Jan H. Veldink

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The most recent genome-wide association study in amyotrophic lateral sclerosis (ALS) demonstrates a disproportionate contribution from low-frequency variants to genetic susceptibility to disease. We have therefore begun Project MinE, an international collaboration that seeks to analyze whole-genome sequence data of at least 15 000 ALS patients and 7500 controls. Here, we report on the design of Project MinE and pilot analyses of successfully sequenced 1169 ALS patients and 608 controls drawn from the Netherlands. As has become characteristic of sequencing studies, we find an abundance of rare genetic variation (minor allele frequency < 0.1%), the vast majority of which is absent in public datasets. Principal component analysis reveals local geographical clustering of these variants within The Netherlands. We use the whole-genome sequence data to explore the implications of poor geographical matching of cases and controls in a sequence-based disease study and to investigate how ancestry-matched, externally sequenced controls can induce false positive associations. Also, we have publicly released genome-wide minor allele counts in cases and controls, as well as results from genic burden tests.

Original languageEnglish
Pages (from-to)1537–1546
Number of pages10
JournalEuropean Journal of Human Genetics
Volume26
Issue number10
DOIs
Publication statusPublished - 1 Oct 2018

Keywords

  • Amyotrophic Lateral Sclerosis/genetics
  • Female
  • Gene Frequency
  • Genetic Predisposition to Disease
  • Genetic Variation/genetics
  • Genome, Human/genetics
  • Genome-Wide Association Study
  • Humans
  • Male
  • Netherlands
  • Polymorphism, Single Nucleotide
  • Whole Genome Sequencing

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