Association of genetic ancestry with pre-eclampsia in multi-ethnic cohorts of pregnant women.

Ancestry Ethnicity Pre-eclampsia Pregnancy

Journal

Pregnancy hypertension
ISSN: 2210-7797
Titre abrégé: Pregnancy Hypertens
Pays: Netherlands
ID NLM: 101552483

Informations de publication

Date de publication:
04 Oct 2024
Historique:
received: 21 08 2024
revised: 16 09 2024
accepted: 30 09 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: aheadofprint

Résumé

Maternal self-reported ethnicity is recognised as a risk factor for pre-eclampsia in clinical screening tools and models. This study investigated whether ethnicity is acting as a proxy for genetic variants in this context. A total of 436 women from multi-ethnic backgrounds recruited to two UK observational pregnancy hypertension cohort studies were genotyped. Genetically-computed individual ancestry estimates were calculated for each individual through comparison to the multi-ethnic 1000 Genomes reference panel genotypes. Regression models for pre-eclampsia using clinical risk factors including self-reported ethnicity with and without ancestry estimates were built and compared using Likelihood Ratio Tests (LRT). Pre-eclampsia (early- and late-onset). In these multi-ethnic cohorts (mean age 34.9 years; 41.3 % White, 34.2 % Black, 13.1 % Asian ethnic backgrounds; 82.6 % chronic hypertension), discrepancies between self-reported ethnicity and genetically-computed individual ancestry estimates were present in all ethnic groups, particularly minority groups. Genetically-computed pan-African ancestry percentage was associated with early-onset (< 34 weeks) pre-eclampsia in adjusted models (aOR 100 % vs 0 % African ancestry: 3.81, 95 % CI 1.04-14.14, p-value 0.044) independently of self-reported ethnicity and established clinical risk factors. Addition of genetically-computed African ancestry to a clinical risk factor model including self-reported ethnicity, improved model fit (Likelihood ratio test p-value 0.023). Self-reported maternal ethnicity is an imperfect proxy for genetically-computed individual ancestry estimates, particularly in ethnic minority groups. Genetically-computed African ancestry percentage was associated with early-onset pre-eclampsia independently of self-reported maternal ethnicity. Well-powered studies in multi-ethnic cohorts are required to delineate the genetic contribution to pre-eclampsia.

Identifiants

pubmed: 39368288
pii: S2210-7789(24)00189-2
doi: 10.1016/j.preghy.2024.101162
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101162

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Frances Conti-Ramsden (F)

Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK. Electronic address: fran.conti-ramsden@kcl.ac.uk.

Antonio de Marvao (A)

Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK; British Heart Foundation Centre of Research Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, UK; Medical Research Council Laboratory of Medical Sciences, Imperial College London, UK.

Carolyn Gill (C)

Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK.

Lucy C Chappell (LC)

Department of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK.

Jenny Myers (J)

Division of Developmental Biology and Medicine, University of Manchester, UK.

Dragana Vuckovic (D)

Department of Epidemiology and Biostatistics, Imperial College London, UK.

Abbas Dehghan (A)

Department of Epidemiology and Biostatistics, Imperial College London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, UK; UK Dementia Research Institute, Imperial College London, UK.

Pirro G Hysi (PG)

Section of Ophthalmology, School of Life Course & Population Sciences, King's College London, UK; Department of Twin Research & Genetic Epidemiology, King's College London, UK.

Classifications MeSH