Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth
Beaumont, Robin N.; Flatley, Christopher; Vaudel, Marc; Wu, Xiaoping; Chen, Jing; Moen, Gunn-Helen; Skotte, Line; Helgeland, Øyvind; Solé-Navais, Pol; Banasik, Karina; Albiñana, Clara; Ronkainen, Justiina; Fadista, João; Stinson, Sara Elizabeth; Trajanoska, Katerina; Wang, Carol A.; Westergaard, David; Srinivasan, Sundararajan; Sánchez-Soriano, Carlos; Bilbao, Jose Ramon; Allard, Catherine; Groleau, Marika; Kuulasmaa, Teemu; Leirer, Daniel J.; White, Frédérique; Jacques, Pierre-Étienne; Cheng, Haoxiang; Hao, Ke; Andreassen, Ole A.; Åsvold, Bjørn Olav; Atalay, Mustafa; Bhatta, Laxmi; Bouchard, Luigi; Brumpton, Ben Michael; Brunak, Søren; Bybjerg-Grauholm, Jonas; Ebbing, Cathrine; Elliott, Paul; Engelbrechtsen, Line; Erikstrup, Christian; Estarlich, Marisa; Franks, Stephen; Gaillard, Romy; Geller, Frank; Grove, Jakob; Hougaard, David M.; Kajantie, Eero; Morgen, Camilla S.; Nohr, Ellen A.; Nyegaard, Mette; Palmer, Colin N. A.; Pedersen, Ole Birger; The Early Growth Genetics (EGG) Consortium; Rivadeneira, Fernando; Sebert, Sylvain; Shields, Beverley M.; Stoltenberg, Camilla; Surakka, Ida; Thørner, Lise Wegner; Ullum, Henrik; Vääräsmäki, Marja; Vilhjalmsson, Bjarni J.; Willer, Cristen J.; Lakka, Timo A.; Gybel-Brask, Dorte; Bustamante, Mariona; Hansen, Torben; Pearson, Ewan R.; Reynolds, Rebecca M.; Ostrowski, Sisse R.; Pennell, Craig E.; Jaddoe, Vincent W. V.; Felix, Janine F.; Hattersley, Andrew T.; Melbye, Mads; Lawlor, Deborah A.; Hveem, Kristian; Werge, Thomas; Nielsen, Henriette Svarre; Magnus, Per; Evans, David M.; Jacobsson, Bo; Järvelin, Marjo-Riitta; Zhang, Ge; Hivert, Marie-France; Johansson, Stefan; Freathy, Rachel M.; Feenstra, Bjarke; Njølstad, Pål R. (2023-10-05)
Beaumont, Robin N.
Flatley, Christopher
Vaudel, Marc
Wu, Xiaoping
Chen, Jing
Moen, Gunn-Helen
Skotte, Line
Helgeland, Øyvind
Solé-Navais, Pol
Banasik, Karina
Albiñana, Clara
Ronkainen, Justiina
Fadista, João
Stinson, Sara Elizabeth
Trajanoska, Katerina
Wang, Carol A.
Westergaard, David
Srinivasan, Sundararajan
Sánchez-Soriano, Carlos
Bilbao, Jose Ramon
Allard, Catherine
Groleau, Marika
Kuulasmaa, Teemu
Leirer, Daniel J.
White, Frédérique
Jacques, Pierre-Étienne
Cheng, Haoxiang
Hao, Ke
Andreassen, Ole A.
Åsvold, Bjørn Olav
Atalay, Mustafa
Bhatta, Laxmi
Bouchard, Luigi
Brumpton, Ben Michael
Brunak, Søren
Bybjerg-Grauholm, Jonas
Ebbing, Cathrine
Elliott, Paul
Engelbrechtsen, Line
Erikstrup, Christian
Estarlich, Marisa
Franks, Stephen
Gaillard, Romy
Geller, Frank
Grove, Jakob
Hougaard, David M.
Kajantie, Eero
Morgen, Camilla S.
Nohr, Ellen A.
Nyegaard, Mette
Palmer, Colin N. A.
Pedersen, Ole Birger
The Early Growth Genetics (EGG) Consortium
Rivadeneira, Fernando
Sebert, Sylvain
Shields, Beverley M.
Stoltenberg, Camilla
Surakka, Ida
Thørner, Lise Wegner
Ullum, Henrik
Vääräsmäki, Marja
Vilhjalmsson, Bjarni J.
Willer, Cristen J.
Lakka, Timo A.
Gybel-Brask, Dorte
Bustamante, Mariona
Hansen, Torben
Pearson, Ewan R.
Reynolds, Rebecca M.
Ostrowski, Sisse R.
Pennell, Craig E.
Jaddoe, Vincent W. V.
Felix, Janine F.
Hattersley, Andrew T.
Melbye, Mads
Lawlor, Deborah A.
Hveem, Kristian
Werge, Thomas
Nielsen, Henriette Svarre
Magnus, Per
Evans, David M.
Jacobsson, Bo
Järvelin, Marjo-Riitta
Zhang, Ge
Hivert, Marie-France
Johansson, Stefan
Freathy, Rachel M.
Feenstra, Bjarke
Njølstad, Pål R.
Springer
05.10.2023
Beaumont, R.N., Flatley, C., Vaudel, M. et al. Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth. Nat Genet 55, 1807–1819 (2023). https://doi.org/10.1038/s41588-023-01520-w.
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312153829
https://urn.fi/URN:NBN:fi:oulu-202312153829
Tiivistelmä
Abstract
A well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n = 65,405), maternal (n = 61,228) and paternal (n = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1. Genetic correlation and colocalization analyses reveal overlap with birth weight genetics, but 12 loci are classified as predominantly or only affecting placental weight, with connections to placental development and morphology, and transport of antibodies and amino acids. Mendelian randomization analyses indicate that fetal genetically mediated higher placental weight is causally associated with preeclampsia risk and shorter gestational duration. Moreover, these analyses support the role of fetal insulin in regulating placental weight, providing a key link between fetal and placental growth.
A well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n = 65,405), maternal (n = 61,228) and paternal (n = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1. Genetic correlation and colocalization analyses reveal overlap with birth weight genetics, but 12 loci are classified as predominantly or only affecting placental weight, with connections to placental development and morphology, and transport of antibodies and amino acids. Mendelian randomization analyses indicate that fetal genetically mediated higher placental weight is causally associated with preeclampsia risk and shorter gestational duration. Moreover, these analyses support the role of fetal insulin in regulating placental weight, providing a key link between fetal and placental growth.
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