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Cervix smear abnormalities: Linking pathology data in female twins, their mothers and sisters

  • Jacqueline M. Vink*
  • , Folkert J. Van Kemenade
  • , Chris J.L.M. Meijer
  • , Mariel K. Casparie
  • , Gerrit A. Meijer
  • , Dorret I. Boomsma
  • *Corresponding author for this work
  • Vrije Universiteit Amsterdam
  • VU University Medical Center
  • Stichting PALGA

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

Mass screening for cervical cancer precursors has decreased the incidence of cervical cancer in several countries, including the Netherlands. Persistent infections of certain types of human papillomavirus are strongly associated with the development of cervical cancer. A number of factors may affect the liability to infection and subsequent progression to cervical intraepithelial neoplasia and cancer. This paper examines whether genetic factors are involved in explaining individual differences in liability. Data of 3178 women registered with the Netherlands Twin Register were successfully linked to the nationwide Dutch Pathology database that contains all results of mass screening for cervical cancer. The data from mono- and dizygotic twins and their female relatives were used to disentangle the influence of heritable and environmental factors on cervix smear abnormalities. Results showed that differences in cervix smear results clustered within families and resemblance was stronger in monozygotic twins (correlation 0.37, 95% confidence interval: 0.12-0.58) compared with other first-degree relatives (correlation 0.14, 95% confidence interval: 0.01-0.29). The familial clustering for an abnormal cervix smear is due to shared genetic factors that explain 37% of the variance in liability. The largest proportion of the variation in cervical smear abnormalities is due to unique environmental factors.

Original languageEnglish
Pages (from-to)108-111
Number of pages4
JournalEuropean Journal of Human Genetics
Volume19
Issue number1
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Netherlands Organization for Scientific Research (NWO-MW 904-61-193; NWO/SPI 56-464-14192 to DB; NWO 480-04-004; NWO-VENI 451-06-004 to JV).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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