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Related Experiment Videos

Selective chromosome analysis in couples with two or more miscarriages: case-control study.

Maureen T M Franssen1, Johanna C Korevaar, Nico J Leschot

  • 1Centre for Reproductive Medicine, Department of Obstetrics and Gynaecology, Academic Medical Centre, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, Netherlands. maureen.franssen@planet.nl

BMJ (Clinical Research Ed.)
|June 30, 2005
PubMed
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Identifying additional factors like maternal age and family history can refine the probability of chromosome abnormalities in couples with recurrent miscarriages. This aids in more targeted genetic testing and cost reduction.

Area of Science:

  • Reproductive genetics
  • Clinical genetics
  • Human genetics

Background:

  • Recurrent miscarriages affect couples, prompting genetic investigations.
  • Chromosome abnormalities are a known cause, but predictive factors require further identification.

Purpose of the Study:

  • To identify additional factors influencing chromosome abnormality carrier status in couples with two or more miscarriages.
  • To determine the probability of carrier status based on these factors.

Main Methods:

  • A nested case-control study was conducted across six clinical genetics centers in the Netherlands.
  • Data from couples referred for chromosome analysis after two or more miscarriages (1992-2000) were analyzed, with 279 carrier couples as cases and 428 non-carrier couples as controls.

Related Experiment Videos

Main Results:

  • Four factors significantly influenced carrier status probability: maternal age at second miscarriage, history of three or more miscarriages, sibling miscarriage history, and parental miscarriage history.
  • The calculated probability of carrier status ranged from 0.5% to 10.2% in the studied population.

Conclusions:

  • Additional factors modify the probability of carrier status in couples experiencing recurrent miscarriages.
  • Selective chromosome analysis based on these factors can optimize referral policies, reduce the annual number of analyses, and lower healthcare costs.