Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T09:07:21.473Z Has data issue: false hasContentIssue false

INSURANCE OVULATION, EMBRYO MORTALITY AND TWINNING

Published online by Cambridge University Press:  01 April 1999

HELEN L. BALL
Affiliation:
Department of Anthropology and University College, Stockton, University of Durham, 43 Old Elvet, Durham DH1 3HN
CATHERINE M. HILL
Affiliation:
Department of Anthropology and University College, Stockton, University of Durham, 43 Old Elvet, Durham DH1 3HN

Abstract

The ‘insurance ova’ hypothesis (Anderson, 1990) views dizygotic twinning as a by-product of selection for multiple ovulation which sometimes – in error – results in the birth of twins. From this viewpoint, polyovulation is a mechanism which reduces the risks of fertilization failure or embryo defect/mortality. If DZ twin births are a ‘side-effect’ of a mechanism which compensates for defective embryos one might predict that embryo defect rates and twinning rates will covary. This prediction is tested using national-level data on twinning rates and rates of trisomy-21 (Down's syndrome), and a strong positive correlation is found, even when controlling for maternal age. One suggestion that follows from this finding is that intra- and interpopulation variation in both twinning rates and Down's syndrome rates may result, in part, from individual variation in pre-implantation rejection of embryos in the very early stages of pregnancy. In this paper it is proposed that the ‘insurance ova’ explanation for twinning in humans could be expanded to incorporate a model of rejection of anomalous embryos, be they anomalies of number or type. Variation in the efficiency of an embryo rejection mechanism, combined with variation in frequency of polyovulation, would have consequences for individual reproductive success.

Type
Research Article
Copyright
© 1999 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)