Familial Cancer

, Volume 12, Issue 2, pp 175–180

The InSiGHT database: utilizing 100 years of insights into Lynch Syndrome


    • Department of Colorectal Medicine and GeneticsThe Royal Melbourne Hospital
  • R. H. Sijmons
    • Department of GeneticsUniversity of Groningen, University Medical Center Groningen
  • M. O. Woods
    • Discipline of Genetics, Faculty of MedicineMemorial University
  • P. Peltomäki
    • Department of Medical Genetics, Haartman InstituteUniversity of Helsinki
  • B. Thompson
    • Queensland Institute of Medical Research
    • School of MedicineUniversity of Queensland
  • J. T. Den Dunnen
    • Center of Human and Clinical GeneticsLeiden University Medical Center
  • F. Macrae
    • Department of Colorectal Medicine and GeneticsThe Royal Melbourne Hospital
Original Article

DOI: 10.1007/s10689-013-9616-0

Cite this article as:
Plazzer, J.P., Sijmons, R.H., Woods, M.O. et al. Familial Cancer (2013) 12: 175. doi:10.1007/s10689-013-9616-0


This article provides a historical overview of the online database (www.insight-group.org/mutations) maintained by the International Society for Gastrointestinal Hereditary Tumours. The focus is on the mismatch repair genes which are mutated in Lynch Syndrome. APC, MUTYH and other genes are also an important part of the database, but are not covered here. Over time, as the understanding of the genetics of Lynch Syndrome increased, databases were created to centralise and share the variants which were being detected in ever greater numbers. These databases were eventually merged into the InSiGHT database, a comprehensive repository of gene variant and disease phenotype information, serving as a starting point for important endeavours including variant interpretation, research, diagnostics and enhanced global collection. Pivotal to its success has been the collaborative spirit in which it has been developed, its association with the Human Variome Project, the appointment of a full time curator and its governance stemming from the well established organizational structure of InSiGHT.


Lynch SyndromeInSiGHT databaseMicroattributionVariant interpretationVariant classification

Copyright information

© Springer Science+Business Media Dordrecht 2013