Genetic determinants of thyroid function in children

Author:

Mulder Tessa A123ORCID,Campbell Purdey J4,Taylor Peter N5ORCID,Peeters Robin P2,Wilson Scott G467,Medici Marco2ORCID,Dayan Colin8,Jaddoe Vincent V W19,Walsh John P410,Martin Nicholas G11ORCID,Tiemeier Henning312ORCID,Korevaar Tim I M2ORCID

Affiliation:

1. Generation R Study Group, Erasmus University Medical Center , Rotterdam, CA 3000 , The Netherlands

2. Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus University Medical Center , Rotterdam , CA 3000, The Netherlands

3. Department of Child and Adolescent Psychiatry, Erasmus University Medical Center , Rotterdam, CA 3000 , The Netherlands

4. Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital , Nedlands, WA 6009 , Australia

5. Thyroid Research Group, Cardiff University School of Medicine , Cardiff , CF14 4YS, United Kingdom

6. School of Biomedical Sciences, University of Western Australia , Perth, WA 6009 , Australia

7. Department of Twin Research & Genetic Epidemiology, King's College London , London , WC2R 2LS, United Kingdom

8. Center for Endocrine and Diabetes Science, Cardiff University School of Medicine , Cardiff, CF14 4YS , United Kingdom

9. Department of Epidemiology, Erasmus University Medical Center , Rotterdam, 3000 CA , The Netherlands

10. Medical School, The University of Western Australia , Crawley, WA 6009 , Australia

11. QIMR Berghofer Medical Research Institute , Brisbane, QLD 4006 , Australia

12. Department of Social and Behavioral Science, Harvard T.H. Chan School of Public Health , Boston, MA 02115 , United States

Abstract

Abstract Objective Genome-wide association studies in adults have identified 42 loci associated with thyroid stimulating hormone (TSH) and 21 loci associated with free thyroxine (FT4) concentrations. While biologically plausible, age-dependent effects have not been assessed. We aimed to study the association of previously identified genetic determinants of TSH and FT4 with TSH and FT4 concentrations in newborns and (pre)school children. Methods We selected participants from three population-based prospective cohorts with data on genetic variants and thyroid function: Generation R (N = 2169 children, mean age 6 years; N = 2388 neonates, the Netherlands), the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 3382, age 7.5 years, United Kingdom), and the Brisbane Longitudinal Twin Study (BLTS; N = 1680, age 12.1 years, Australia). The association of single nucleotide polymorphisms (SNPs) with TSH and FT4 concentrations was studied with multivariable linear regression models. Weighted polygenic risk scores (PRSs) were defined to combine SNP effects. Results In childhood, 30/60 SNPs were associated with TSH and 11/31 SNPs with FT4 after multiple testing correction. The effect sizes for AADAT, GLIS3, TM4SF4, and VEGFA were notably larger than in adults. The TSH PRS explained 5.3%-8.4% of the variability in TSH concentrations; the FT4 PRS explained 1.5%-4.2% of the variability in FT4 concentrations. Five TSH SNPs and no FT4 SNPs were associated with thyroid function in neonates. Conclusions The effects of many known thyroid function SNPs are already apparent in childhood and some might be notably larger in children as compared to adults. These findings provide new knowledge about genetic regulation of thyroid function in early life.

Funder

Netherlands Organisation for Health Research and Development

Australian National Health and Medical Research Council

Australian Research Council

Wellcome

University of Bristol

Publisher

Oxford University Press (OUP)

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism

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