PLoS ONE (Jan 2019)

Exome chip association study excluded the involvement of rare coding variants with large effect sizes in the etiology of anorectal malformations.

  • Romy van de Putte,
  • Charlotte H W Wijers,
  • Heiko Reutter,
  • Sita H Vermeulen,
  • Carlo L M Marcelis,
  • Erwin Brosens,
  • Paul M A Broens,
  • Markus Homberg,
  • Michael Ludwig,
  • Ekkehart Jenetzky,
  • Nadine Zwink,
  • Cornelius E J Sloots,
  • Annelies de Klein,
  • Alice S Brooks,
  • Robert M W Hofstra,
  • Sophie A C Holsink,
  • Loes F M van der Zanden,
  • Tessel E Galesloot,
  • Paul Kwong-Hang Tam,
  • Marloes Steehouwer,
  • Rocio Acuna-Hidalgo,
  • Maartje van de Vorst,
  • Lambertus A Kiemeney,
  • Maria-Mercè Garcia-Barceló,
  • Ivo de Blaauw,
  • Han G Brunner,
  • Nel Roeleveld,
  • Iris A L M van Rooij

DOI
https://doi.org/10.1371/journal.pone.0217477
Journal volume & issue
Vol. 14, no. 5
p. e0217477

Abstract

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IntroductionAnorectal malformations (ARM) are rare congenital malformations, resulting from disturbed hindgut development. A genetic etiology has been suggested, but evidence for the involvement of specific genes is scarce. We evaluated the contribution of rare and low-frequency coding variants in ARM etiology, assuming a multifactorial model.MethodsWe analyzed 568 Caucasian ARM patients and 1,860 population-based controls using the Illumina HumanExome Beadchip array, which contains >240,000 rare and low-frequency coding variants. GenomeStudio clustering and calling was followed by re-calling of 'no-calls' using zCall for patients and controls simultaneously. Single variant and gene-based analyses were performed to identify statistically significant associations, applying Bonferroni correction. Following an extra quality control step, candidate variants were selected for validation using Sanger sequencing.ResultsWhen we applied a MAF of ≥1.0%, no variants or genes showed statistically significant associations with ARM. Using a MAF cut-off at 0.4%, 13 variants initially reached statistical significance, but had to be discarded upon further inspection: ten variants represented calling errors of the software, while the minor alleles of the remaining three variants were not confirmed by Sanger sequencing.ConclusionOur results show that rare and low-frequency coding variants with large effect sizes, present on the exome chip do not contribute to ARM etiology.