The genetic architecture of sporadic and multiple consecutive miscarriage

Triin Laisk*, Ana Luiza G. Soares, Teresa Ferreira, Jodie N. Painter, Jenny C. Censin, Samantha Laber, Jonas Bacelis, Chia-Yen Chen, Maarja Lepamets, Kuang Lin, Siyang Liu, Iona Y. Millwood, Avinash Ramu, Jennifer Southcombe, Marianne S. Andersen, Ling Yang, Christian M. Becker, Anders D. Børglum, Scott D. Gordon, Jonas Bybjerg-GrauholmØyvind Helgeland, David M. Hougaard, Xin Jin, Stefan Johansson, Julius Juodakis, Christiana Kartsonaki, Viktorija Kukushkina, Penelope A. Lind, Andres Metspalu, Grant W. Montgomery, Andrew P. Morris, Ole Mors, Preben B. Mortensen, Pål R. Njølstad, Merete Nordentoft, Dale R. Nyholt, Margaret Lippincott, Stephanie Seminara, Andres Salumets, Harold Snieder, Krina Zondervan, Thomas Werge, Zhengming Chen, Donald F. Conrad, Bo Jacobsson, Liming Li, Nicholas G. Martin, Benjamin M. Neale, Rasmus Nielsen, Robin G. Walters, Ingrid Granne, Sarah E. Medland, Reedik Mägi, Deborah A. Lawlor, Cecilia M. Lindgren*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10−8, odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10−8, OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10−9, OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10−8, OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication.
Original languageEnglish
Article number5980 (2020)
Number of pages12
JournalNature Communications
Volume11
DOIs
Publication statusPublished - 25 Nov 2020

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