S'abonner

Inherited susceptibility to miscarriage: a nested case-control study of 31,565 women from an intergenerational cohort - 28/01/20

Doi : 10.1016/j.ajog.2019.08.013 
Andrea M.F. Woolner, PhD a, , Edwin Amalraj Raja, PhD b, Siladitya Bhattacharya, MD a, Peter Danielian, MD c, Soh Bhattacharya, PhD a
a Aberdeen Centre for Women’s Health Research, Institute of Applied Health Sciences, Aberdeen, UK 
b Medical Statistics Team, Institute of Applied Health Sciences, Aberdeen, UK 
c School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, the Department of Obstetrics & Gynaecology, Aberdeen Maternity Hospital, NHS Grampian, Aberdeen, UK 

Corresponding author: Andrea MF Woolner, PhD.

Abstract

Background

Miscarriage can be a devastating outcome for couples, and most miscarriages are unexplained. Many adverse obstetric outcomes (such as preeclampsia, preterm birth, and growth restriction) are thought to be inherited. It is possible that these conditions could share similar pathophysiologic mechanisms (such as endothelial dysfunction) with miscarriage. Therefore, it was hypothesized that there could be a susceptibility to miscarriage transmitted from mother to daughter.

Objective

This study aimed to investigate the association between a maternal history of miscarriage and the risk of miscarriage in daughters.

Study Design

A case-control study nested within an intergenerational cohort was conducted. Mother-daughter pairs were identified from the intergenerational cohort within the Aberdeen Maternity and Neonatal Databank, United Kingdom. A mother’s history of miscarriage was the exposure. The primary outcome was miscarriage in daughters. There were 31,565 mother-daughter pairs who were eligible for inclusion. A population average model that used generalized estimating equations with robust standard errors was used to estimate the odds of a mother’s history of miscarriage in daughters with a miscarriage compared with daughters with only livebirths. This method accounted for clustering of daughters within mothers, and multiadjusted analyses were performed to include confounders at the daughter’s pregnancy level.

Results

Daughters who miscarried had 11% greater odds of being born to mothers with a history of miscarriage (adjusted odds ratio, 1.11; 95% confidence interval, 1.01–1.22). Daughters with recurrent miscarriage (≥2) were also more likely to be born to a mother with a history of miscarriage (adjusted odds ratio, 1.25; 95% confidence interval, 1.04–1.49).

Conclusion

There may be an inherited predisposition to miscarriage transmitted from mother to daughter. Future research should investigate genetic or familial environmental factors that may predispose women to miscarriage.

Le texte complet de cet article est disponible en PDF.

Key words : familial, family history, inherited predisposition, intergenerational, miscarriage, mother-daughter pairs


Plan


 Supported by internal funding from the Fetal and Perinatal endowment fund, NHS Grampian, Aberdeen, UK for the costs of data extraction from the Aberdeen Maternity and Neonatal Databank only. No other external sources of funding were received.
 The authors report no conflict of interest.
 Cite this article as: Woolner AMF, Raja EA, Bhattacharya S, et al. Inherited susceptibility to miscarriage: a nested case-control study of 31565 women from an intergenerational cohort. Am J Obstet Gynecol 2020;222:168.e1-8.


© 2019  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 222 - N° 2

P. 168.e1-168.e8 - février 2020 Retour au numéro
Article précédent Article précédent
  • Obstetric perineal ruptures—risk of anal incontinence among primiparous women 12 months postpartum: a prospective cohort study
  • Ditte Gommesen, Ellen Aa. Nohr, Niels Qvist, Vibeke Rasch
| Article suivant Article suivant
  • Chemotherapy alone for patients 75 years and older with epithelial ovarian cancer—is interval cytoreductive surgery still needed?
  • David A. Klein, Amandeep K. Mann, Alexandra H. Freeman, Cheng-I Liao, Daniel S. Kapp, John K. Chan

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.