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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10048401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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