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. Brooke, Robert M. W. Hofstra, Sophie A. C. Holsink, Loes F. M. van Der Zanden, Tessel E. Galesloot, Paul Kwong-Hang Tam, Marloes SteehouwerRocio Acuna-Hidalgo, Maartje van de Vorst, Lambertus A. Kiemeney, Maria-Merce Garcia-Barcelo, Ivo de Blaauw, Han G. Brunner, Nel Roeleveld, Iris A. L. M. van Rooij

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)

Abstract

Introduction

Anorectal 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.

Methods

We analyzed 568 Caucasian ARM patients and 1,860 population-based controls using the Illumina Human Exome 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.

Results

When 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.

Conclusion

Our results show that rare and low-frequency coding variants with large effect sizes, present on the exome chip do not contribute to ARM etiology.

Original languageEnglish
Article number0217477
Number of pages12
JournalPLOS ONE
Volume14
Issue number5
DOIs
Publication statusPublished - 28 May 2019

Keywords

  • BIRTH-DEFECTS
  • CANDIDATE GENE
  • RISK
  • ANOMALIES
  • EXCLUSION
  • REGISTRY
  • OBESITY
  • FGF10

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