Evidence map›Paper›PMID 39368288›Full record

Observational studyPregnancy hypertension2024

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

Frances Conti-Ramsden, Antonio de Marvao, Carolyn Gill, Lucy C Chappell, Jenny Myers, Dragana Vuckovic, Abbas Dehghan, Pirro G Hysi

Abstract readObservational Study
In one paragraph

Observational study in Pregnancy hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Frances Conti-RamsdenDepartment 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 MarvaoDepartment 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 GillDepartment of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK.
Lucy C ChappellDepartment of Women and Children's Health, School of Life Course & Population Sciences, King's College London, UK.
Jenny MyersDivision of Developmental Biology and Medicine, University of Manchester, UK.
Dragana VuckovicDepartment of Epidemiology and Biostatistics, Imperial College London, UK.
Abbas DehghanDepartment 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 HysiSection of Ophthalmology, School of Life Course & Population Sciences, King's College London, UK; Department of Twin Research & Genetic Epidemiology, King's College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMaternal 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. STUDY

designA 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).

main outcome measuresPre-eclampsia (early- and late-onset).

resultsIn 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).

conclusionsSelf-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.

Indexed as

Pre-EclampsiaAdultCohort StudiesEthnicityFemaleGenetic Predisposition to DiseaseHumansPregnancyRisk FactorsSelf ReportUnited KingdomAncestryEthnicityPre-eclampsiaPregnancy

Identifiers

PMID39368288
PMCPMC11870846

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.