Polygenic prediction of preeclampsia and gestational hypertension

被引:0
|
作者
Michael C. Honigberg
Buu Truong
Raiyan R. Khan
Brenda Xiao
Laxmi Bhatta
Ha My T. Vy
Rafael F. Guerrero
Art Schuermans
Margaret Sunitha Selvaraj
Aniruddh P. Patel
Satoshi Koyama
So Mi Jemma Cho
Shamsudheen Karuthedath Vellarikkal
Mark Trinder
Sarah M. Urbut
Kathryn J. Gray
Ben M. Brumpton
Snehal Patil
Sebastian Zöllner
Mariah C. Antopia
Richa Saxena
Girish N. Nadkarni
Ron Do
Qi Yan
Itsik Pe’er
Shefali Setia Verma
Rajat M. Gupta
David M. Haas
Hilary C. Martin
David A. van Heel
Triin Laisk
Pradeep Natarajan
机构
[1] Massachusetts General Hospital,Cardiology Division, Department of Medicine
[2] Massachusetts General Hospital,Cardiovascular Research Center
[3] Harvard Medical School,Program in Medical and Population Genetics
[4] Broad Institute of Harvard and MIT,Department of Computer Science
[5] Columbia University,K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU
[6] University of Pennsylvania,HUNT Research Centre, Department of Public Health and Nursing, NTNU
[7] Norwegian University of Science and Technology,The Charles Bronfman Institute for Personalized Medicine
[8] Norwegian University of Science and Technology,Department of Biological Sciences
[9] Icahn School of Medicine at Mount Sinai,Faculty of Medicine
[10] North Carolina State University,Cardiovascular Division, Department of Medicine
[11] KU Leuven,Centre for Heart Lung Innovation
[12] Integrative Research Center for Cerebrovascular and Cardiovascular Diseases,Department of Obstetrics and Gynecology
[13] Brigham and Women’s Hospital,Center for Genomic Medicine
[14] University of British Columbia,Department of Biostatistics and Center for Statistical Genetics
[15] Brigham and Women’s Hospital,Department of Integrative Biology
[16] Massachusetts General Hospital,Department of Obstetrics and Gynecology
[17] University of Michigan School of Public Health,Department of Human Genetics
[18] University of Texas at San Antonio,Blizard Institute, Barts and The London School of Medicine and Dentistry
[19] Columbia University,Estonian Genome Centre, Institute of Genomics
[20] Indiana University School of Medicine,undefined
[21] Wellcome Sanger Institute,undefined
[22] Queen Mary University of London,undefined
[23] University of Tartu,undefined
来源
Nature Medicine | 2023年 / 29卷
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摘要
Preeclampsia and gestational hypertension are common pregnancy complications associated with adverse maternal and child outcomes. Current tools for prediction, prevention and treatment are limited. Here we tested the association of maternal DNA sequence variants with preeclampsia in 20,064 cases and 703,117 control individuals and with gestational hypertension in 11,027 cases and 412,788 control individuals across discovery and follow-up cohorts using multi-ancestry meta-analysis. Altogether, we identified 18 independent loci associated with preeclampsia/eclampsia and/or gestational hypertension, 12 of which are new (for example, MTHFR–CLCN6, WNT3A, NPR3, PGR and RGL3), including two loci (PLCE1 and FURIN) identified in the multitrait analysis. Identified loci highlight the role of natriuretic peptide signaling, angiogenesis, renal glomerular function, trophoblast development and immune dysregulation. We derived genome-wide polygenic risk scores that predicted preeclampsia/eclampsia and gestational hypertension in external cohorts, independent of clinical risk factors, and reclassified eligibility for low-dose aspirin to prevent preeclampsia. Collectively, these findings provide mechanistic insights into the hypertensive disorders of pregnancy and have the potential to advance pregnancy risk stratification.
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页码:1540 / 1549
页数:9
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