Multiplexed variation scanning for 1,000 amplicons in hundreds of patients using mismatch repair detection (MRD) on tag arrays

  • Malek Faham
  • , Jianbiao Zheng
  • , Martin Moorhead
  • , Hossein Fakhrai-Rad
  • , Eugeni Namsaraev
  • , Kee Wong
  • , Zhiyong Wang
  • , Shu G. Chow
  • , Liana Lee
  • , Kent Suyenaga
  • , Jennifer Reichert
  • , Andrew Boudreau
  • , James Eberle
  • , Carsten Bruckner
  • , Maneesh Jain
  • , George Karlin-Neumann
  • , Hywel B. Jones
  • , Thomas D. Willis
  • , Joseph D. Buxbaum
  • , Ronald W. Davis

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Identification of the genetic basis of common disease may require comprehensive sequence analysis of coding regions and regulatory elements in patients and controls to find genetic effects caused by rare or heterogeneous mutations. In this study, we demonstrate how mismatch repair detection on tag arrays can be applied in a case-control study. Mismatch repair detection allows > 1,000 amplicons to be screened for variations in a single laboratory reaction. Variation scanning in 939 amplicons, mostly in coding regions within a linkage peak, was done for 372 patients and 404 controls. In total, >180 Mb of DNA was scanned. Several variants more prevalent in patients than in controls were identified. This study demonstrates an approach to the discovery of susceptibility genes for common disease: large-scale direct sequence comparison between patients and controls. We believe this approach can be scaled up to allow sequence comparison in the whole-genome coding regions among large sets of cases and controls at a reasonable cost in the near future.

Original languageEnglish
Pages (from-to)14717-14722
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume102
Issue number41
DOIs
StatePublished - 11 Oct 2005

Keywords

  • Association studies
  • Autism
  • High-throughput technology
  • Variation scanning

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