Title |
Fetal Genotype and Maternal Glucose have Independent and Additive Effects on Birth Weight
|
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Published in |
Diabetes, February 2018
|
DOI | 10.2337/db17-1188 |
Pubmed ID | |
Authors |
Alice E Hughes, Michael Nodzenski, Robin N Beaumont, Octavious Talbot, Beverley M Shields, Denise M Scholtens, Bridget A Knight, William L Lowe, Andrew T Hattersley, Rachel M Freathy |
Abstract |
Maternal glycemia is a key determinant of birth weight but recent large-scale genome wide-association studies demonstrated an important contribution of fetal genetics. It is not known whether fetal genotype modifies the impact of maternal glycemia, or whether it acts through insulin-mediated growth. We tested the effects of maternal fasting plasma glucose (FPG) and a fetal genetic score for birth weight on birth weight and fetal insulin in 2,051 European mother-child pairs from the Exeter Family Study of Childhood Health (EFSOCH) and Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. The fetal genetic score influenced birth weight independently of maternal FPG and impacted on growth at all levels of maternal glycemia. For mothers with FPG in the top tertile, the frequency of large for gestational age (LGA, birth weight ≥90thcentile) was 31.1% for offspring with the highest tertile genetic score and only 14.0% with the lowest tertile genetic score. Unlike maternal glucose, the fetal genetic score was not associated with cord insulin or C-peptide. Similar results were seen for HAPO participants of non-European ancestry (n=2,842 pairs). This work demonstrates that for any level of maternal FPG, fetal genetics have a major impact on fetal growth and act predominantly through independent mechanisms. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 7 | 37% |
Spain | 4 | 21% |
Canada | 1 | 5% |
Switzerland | 1 | 5% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 12 | 63% |
Scientists | 4 | 21% |
Practitioners (doctors, other healthcare professionals) | 3 | 16% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 11 | 20% |
Student > Ph. D. Student | 6 | 11% |
Student > Bachelor | 5 | 9% |
Other | 4 | 7% |
Researcher | 3 | 5% |
Other | 6 | 11% |
Unknown | 20 | 36% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 22% |
Nursing and Health Professions | 6 | 11% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Psychology | 3 | 5% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 6 | 11% |
Unknown | 22 | 40% |