ArticleO&G open2025
Use of a Maternal Genetic Risk Score to Derive and Test a Genetically Customized Fetal Growth Curve.
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Article in O&G open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
12 authors.
Merry JosephDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Lisa PappasDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Rafael GuerreroDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Maryam ZeinomarDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Joseph R MimsDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Barry MooreDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Tsegaselassie WorkalemahuDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Christina ScifresDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Jon G StellerDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
George SaadeDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Robert M SilverDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Nathan R BlueDepartment of Obstetrics and Gynecology, University of Utah Health, Intermountain Health, and the Department of Human Genetics, University of Utah, Salt Lake City, Utah; the Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina; the Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana; the Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California; and the Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Funding
Individualization of Fetal Growth Assessment using Maternal Genetics and Explainable AIK08HD113835 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Nathan Richard Blue · 2024 to 2026
$473kNICHD NIH HHS K08 HD113835
Abstract
objectiveOur aim was to determine whether using a maternal genetic risk score for birth weight (GRS
methodsWe performed a secondary analysis of a prospective cohort of individuals with singleton deliveries at or after 24 weeks of gestation, with ultrasound data and maternal genotypes. In random training (∼60%) and testing (∼40%) subgroups, we computed maternal GRS
resultsOf 9,020 eligible participants, 1,105 (12.3%) experienced the composite morbidity outcome. The GRS
conclusionMaternal GRS
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