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Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions

Genotype-by-environment interactions (GEI) may influence dental caries, although their effects are difficult to detect. Variance quantitative trait loci (vQTL) may serve as an indicator of underlying GEI effects. The aim of this study was to investigate GEI effects on dental caries by prioritizing v...

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Autores principales: Zou, Tianyu, Foxman, Betsy, McNeil, Daniel W., Weinberg, Seth M., Marazita, Mary L., Shaffer, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048401/
https://www.ncbi.nlm.nih.gov/pubmed/36981009
http://dx.doi.org/10.3390/genes14030736
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author Zou, Tianyu
Foxman, Betsy
McNeil, Daniel W.
Weinberg, Seth M.
Marazita, Mary L.
Shaffer, John R.
author_facet Zou, Tianyu
Foxman, Betsy
McNeil, Daniel W.
Weinberg, Seth M.
Marazita, Mary L.
Shaffer, John R.
author_sort Zou, Tianyu
collection PubMed
description Genotype-by-environment interactions (GEI) may influence dental caries, although their effects are difficult to detect. Variance quantitative trait loci (vQTL) may serve as an indicator of underlying GEI effects. The aim of this study was to investigate GEI effects on dental caries by prioritizing variants from genome-wide vQTL analysis. First, we identified vQTLs from ~4.3 M genome-wide variants in three cohorts of white children aged 3–5 (n = 396, n = 328, n = 773) using Levene’s test. A total of 39 independent vQTLs with p < 1 × 10(−6) were identified, some of which were located in or near genes with plausible biological roles in dental caries (IGFBP7, SLC5A8, and SHH involved in tooth development and enamel mineralization). Next, we used linear regression to test GEI effects on dental caries with the 39 prioritized variants and self-reported environmental factors (demographic, socioeconomic, behavioral, and dietary factors) in the three cohorts separately. We identified eight significant GEIs indicating that children with vQTL risk genotypes had higher caries experience if they had less educated parents, lower household/parental income, brushed their teeth less frequently, consumed sugar-sweetened beverages more frequently, were not breastfed, and were female. We reported the first genome-wide vQTL analysis of dental caries in children nominating several novel genes and GEI for further investigations.
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spelling pubmed-100484012023-03-29 Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions Zou, Tianyu Foxman, Betsy McNeil, Daniel W. Weinberg, Seth M. Marazita, Mary L. Shaffer, John R. Genes (Basel) Article Genotype-by-environment interactions (GEI) may influence dental caries, although their effects are difficult to detect. Variance quantitative trait loci (vQTL) may serve as an indicator of underlying GEI effects. The aim of this study was to investigate GEI effects on dental caries by prioritizing variants from genome-wide vQTL analysis. First, we identified vQTLs from ~4.3 M genome-wide variants in three cohorts of white children aged 3–5 (n = 396, n = 328, n = 773) using Levene’s test. A total of 39 independent vQTLs with p < 1 × 10(−6) were identified, some of which were located in or near genes with plausible biological roles in dental caries (IGFBP7, SLC5A8, and SHH involved in tooth development and enamel mineralization). Next, we used linear regression to test GEI effects on dental caries with the 39 prioritized variants and self-reported environmental factors (demographic, socioeconomic, behavioral, and dietary factors) in the three cohorts separately. We identified eight significant GEIs indicating that children with vQTL risk genotypes had higher caries experience if they had less educated parents, lower household/parental income, brushed their teeth less frequently, consumed sugar-sweetened beverages more frequently, were not breastfed, and were female. We reported the first genome-wide vQTL analysis of dental caries in children nominating several novel genes and GEI for further investigations. MDPI 2023-03-17 /pmc/articles/PMC10048401/ /pubmed/36981009 http://dx.doi.org/10.3390/genes14030736 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zou, Tianyu
Foxman, Betsy
McNeil, Daniel W.
Weinberg, Seth M.
Marazita, Mary L.
Shaffer, John R.
Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title_full Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title_fullStr Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title_full_unstemmed Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title_short Genome-Wide Analysis of Dental Caries Variability Reveals Genotype-by-Environment Interactions
title_sort genome-wide analysis of dental caries variability reveals genotype-by-environment interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048401/
https://www.ncbi.nlm.nih.gov/pubmed/36981009
http://dx.doi.org/10.3390/genes14030736
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