Cargando…

Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium

OBJECTIVE: Dental caries is a multifactorial disease with high prevalence in both children and adults. Recent genome-wide association studies (GWASs) have revealed that genetic factors play an important role in caries incidence. However, existing methods are not sufficient to identify caries-associa...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yueyao, Bandyopadhyay, Dipankar, Shaffer, John R., Wu, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494074/
https://www.ncbi.nlm.nih.gov/pubmed/34622142
_version_ 1784579242294509568
author Wang, Yueyao
Bandyopadhyay, Dipankar
Shaffer, John R.
Wu, Xiaowei
author_facet Wang, Yueyao
Bandyopadhyay, Dipankar
Shaffer, John R.
Wu, Xiaowei
author_sort Wang, Yueyao
collection PubMed
description OBJECTIVE: Dental caries is a multifactorial disease with high prevalence in both children and adults. Recent genome-wide association studies (GWASs) have revealed that genetic factors play an important role in caries incidence. However, existing methods are not sufficient to identify caries-associated genes, due to the complex correlation structure of caries GWAS data, and lack of appropriate summarization at the gene level. This paper attempts to address that by analyzing data from the Gene, Environment Association Studies (GENEVA) consortium. METHODS: We investigated gene-based genetic associations for dental caries based on genome-wide data derived from the GENEVA database, with adjustment to covariates, linkage disequilibrium among single-nucleotide polymorphisms, and family relations, in sampled individuals. RESULTS: Several suggestive genes were identified, in which some of them have been previously found to have potential biological functions on cariogenesis. CONCLUSIONS: By comparing the gene sets identified from gene-based and SNP-based association testing methods, we found a non-negligible overlap, which indicates that our gene-based analysis can provide substantial supplement to the traditional GWAS analysis.
format Online
Article
Text
id pubmed-8494074
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-84940742021-10-06 Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium Wang, Yueyao Bandyopadhyay, Dipankar Shaffer, John R. Wu, Xiaowei J Dent Dent Med Article OBJECTIVE: Dental caries is a multifactorial disease with high prevalence in both children and adults. Recent genome-wide association studies (GWASs) have revealed that genetic factors play an important role in caries incidence. However, existing methods are not sufficient to identify caries-associated genes, due to the complex correlation structure of caries GWAS data, and lack of appropriate summarization at the gene level. This paper attempts to address that by analyzing data from the Gene, Environment Association Studies (GENEVA) consortium. METHODS: We investigated gene-based genetic associations for dental caries based on genome-wide data derived from the GENEVA database, with adjustment to covariates, linkage disequilibrium among single-nucleotide polymorphisms, and family relations, in sampled individuals. RESULTS: Several suggestive genes were identified, in which some of them have been previously found to have potential biological functions on cariogenesis. CONCLUSIONS: By comparing the gene sets identified from gene-based and SNP-based association testing methods, we found a non-negligible overlap, which indicates that our gene-based analysis can provide substantial supplement to the traditional GWAS analysis. 2020-05 2020-04-15 /pmc/articles/PMC8494074/ /pubmed/34622142 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Wang, Yueyao
Bandyopadhyay, Dipankar
Shaffer, John R.
Wu, Xiaowei
Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title_full Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title_fullStr Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title_full_unstemmed Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title_short Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium
title_sort gene-based association mapping for dental caries in the geneva consortium
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494074/
https://www.ncbi.nlm.nih.gov/pubmed/34622142
work_keys_str_mv AT wangyueyao genebasedassociationmappingfordentalcariesinthegenevaconsortium
AT bandyopadhyaydipankar genebasedassociationmappingfordentalcariesinthegenevaconsortium
AT shafferjohnr genebasedassociationmappingfordentalcariesinthegenevaconsortium
AT wuxiaowei genebasedassociationmappingfordentalcariesinthegenevaconsortium