Evidence map›Paper›PMID 42238470›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Using human genetics to understand the effect of modulating targets of antihypertensive drugs in pregnancy.

Maria Carolina Borges, Helena Urquijo, Qian Yang, Adriaan van der Graaf, Nancy McBride, Eirin Beate Haug, Ana Goncalves Soares, Gemma C Clayton, Tom A Bond, Marwa Al Arab and 13 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Maria Carolina BorgesMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.ORCID 0000-0001-7785-4547
Helena UrquijoMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Qian YangMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Adriaan van der GraafDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Nancy McBrideMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Eirin Beate HaugHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Ana Goncalves SoaresMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Gemma C ClaytonMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Tom A BondMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Marwa Al ArabMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Julie HornHUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger 7600, Norway.
Laurent ThomasHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Laxmi BhattaHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Bjørn Olav ÅsvoldHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Maria C MagnusCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
David M EvansFrazer Institute, University of Queensland, Brisbane, Australia.
Christy BurdenTranslational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Katherine BirchenallSchool of Medicine and Public Health, The University of Newcastle, Australia.
Ben BrumptonHUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Tom R GauntMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.
Emma C HartDivision of Mental Health Care, St. Olavs Hospital, Trondheim, Norway.
Zoltan KutalikDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Deborah A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS1 5DS, UK.

Funding

Using Genetics to Inform Mechanism of Cardiovascular DiseaseR35HL135824 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2017 to 2022
$5.4M
NHLBI NIH HHS R35 HL135824Wellcome Trust
6 · The paper itself

Abstract

Background and Aims: Hypertension during pregnancy is a major cause of maternal and neonatal morbidity and mortality, yet the efficacy and safety of antihypertensive treatments in this setting remain uncertain. We evaluated the effects of antihypertensive drug targets on adverse pregnancy-related outcomes using genetic variants to instrument target perturbation. Methods: We performed drug target Mendelian randomization to mimic pharmacological perturbation of targets from six commonly used antihypertensive drug classes, using data from up to 671,922 pregnant women. Genetic variants near drug target genes associated with systolic or diastolic blood pressure were selected as instruments. We estimated effects of target modulation on six primary and eight secondary pregnancy outcomes. Results: Genetically instrumented downregulation of blood pressure through β-blocker (BB) and calcium-channel blocker (CCB) targets, particularly ADRB1 and CACNB2, was associated with a reduced risk of hypertensive disorders of pregnancy, including preeclampsia. For example, CACNB2-instrumented lowering corresponded to a 7% (95% CI: 5-9%) reduction in preeclampsia risk per 1 mmHg decrease in blood pressure. For most of the other targets, estimates were directionally consistent but imprecise. Across additional outcomes, effects varied by target, with suggestive evidence for reduced risks of miscarriage, preterm birth, small-for-gestational age birth, and labour induction, although these estimates were accompanied by substantial uncertainty. Conclusions: These findings support a protective effect of BB and CCB targets on hypertensive disorders of pregnancy and highlight potential target-specific differences in safety. This work illustrates the value of Mendelian randomization in addressing clinical uncertainties where robust trial evidence is limited.

Indexed as

antihypertensivesdrug safetydrug targetHypertensive disorders of pregnancyMendelian randomizationpre-eclampsiapregnancy

Identifiers

PMID42238470
PMCPMC13228773

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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 OpenQuestion graph.