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Open Access
Peer-reviewed
Research Article
Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies
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Robin N. Beaumont,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing
Affiliations Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom, Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
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Sarah J. Kotecha,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing
Affiliation Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
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Andrew R. Wood,
Roles Methodology, Software, Writing – review & editing
Affiliation Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
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Bridget A. Knight,
Roles Data curation, Resources, Writing – review & editing
Affiliation Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
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Sylvain Sebert,
Roles Data curation, Funding acquisition, Resources, Writing – review & editing
Affiliations Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulun yliopisto, Finland, Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
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Mark I. McCarthy,
Roles Data curation, Funding acquisition, Writing – review & editing
Current address: Genentech, South San Francisco, California
Affiliations Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom, Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom
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Andrew T. Hattersley,
Roles Conceptualization, Data curation, Funding acquisition, Resources, Writing – review & editing
Affiliation Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
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Marjo-Riitta Järvelin,
Roles Data curation, Funding acquisition, Resources, Writing – review & editing
Affiliations Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulun yliopisto, Finland, Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland, Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom, Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex, United Kingdom
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Nicholas J. Timpson,
Roles Data curation, Funding acquisition, Resources, Writing – review & editing
Affiliation Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
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Rachel M. Freathy ,
Contributed equally to this work with: Rachel M. Freathy, Sailesh Kotecha
Roles Conceptualization, Data curation, Funding acquisition, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing
* E-mail: r.freathy@exeter.ac.uk
Affiliations Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom, Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
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Sailesh Kotecha
Contributed equally to this work with: Rachel M. Freathy, Sailesh Kotecha
Roles Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliation Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
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Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies
- Robin N. Beaumont,
- Sarah J. Kotecha,
- Andrew R. Wood,
- Bridget A. Knight,
- Sylvain Sebert,
- Mark I. McCarthy,
- Andrew T. Hattersley,
- Marjo-Riitta Järvelin,
- Nicholas J. Timpson,
- Rachel M. Freathy
- Published: December 7, 2020
- https://doi.org/10.1371/journal.pgen.1009191