Literature DB >> 30838596

Protocols, Methods, and Tools for Genome-Wide Association Studies (GWAS) of Dental Traits.

Cary S Agler1, Dmitry Shungin2,3, Andrea G Ferreira Zandoná4, Paige Schmadeke5,6, Patricia V Basta5,6, Jason Luo7,8, John Cantrell1, Thomas D Pahel1, Beau D Meyer9, John R Shaffer10,11,12, Arne S Schaefer13, Kari E North5,14, Kimon Divaris15,16.   

Abstract

Oral health and disease are known to be influenced by complex interactions between environmental (e.g., social and behavioral) factors and innate susceptibility. Although the exact contribution of genomics and other layers of "omics" to oral health is an area of active research, it is well established that the susceptibility to dental caries, periodontal disease, and other oral and craniofacial traits is substantially influenced by the human genome. A comprehensive understanding of these genomic factors is necessary for the realization of precision medicine in the oral health domain. To aid in this direction, the advent and increasing affordability of high-throughput genotyping has enabled the simultaneous interrogation of millions of genetic polymorphisms for association with oral and craniofacial traits. Specifically, genome-wide association studies (GWAS) of dental caries and periodontal disease have provided initial insights into novel loci and biological processes plausibly implicated in these two common, complex, biofilm-mediated diseases. This paper presents a summary of protocols, methods, tools, and pipelines for the conduct of GWAS of dental caries, periodontal disease, and related traits. The protocol begins with the consideration of different traits for both diseases and outlines procedures for genotyping, quality control, adjustment for population stratification, heritability and association analyses, annotation, reporting, and interpretation. Methods and tools available for GWAS are being constantly updated and improved; with this in mind, the presented approaches have been successfully applied in numerous GWAS and meta-analyses among tens of thousands of individuals, including dental traits such as dental caries and periodontal disease. As such, they can serve as a guide or template for future genomic investigations of these and other traits.

Entities:  

Keywords:  Bioinformatics; Dental caries; Genome-wide association studies; Methods; Periodontal disease; Periodontitis; Protocol

Mesh:

Substances:

Year:  2019        PMID: 30838596      PMCID: PMC6613560          DOI: 10.1007/978-1-4939-9012-2_38

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  89 in total

1.  Evidence of a substantial genetic basis for risk of adult periodontitis.

Authors:  B S Michalowicz; S R Diehl; J C Gunsolley; B S Sparks; C N Brooks; T E Koertge; J V Califano; J A Burmeister; H A Schenkein
Journal:  J Periodontol       Date:  2000-11       Impact factor: 6.993

2.  Diagnosing and reporting early childhood caries for research purposes. A report of a workshop sponsored by the National Institute of Dental and Craniofacial Research, the Health Resources and Services Administration, and the Health Care Financing Administration.

Authors:  T F Drury; A M Horowitz; A I Ismail; M P Maertens; R G Rozier; R H Selwitz
Journal:  J Public Health Dent       Date:  1999       Impact factor: 1.821

Review 3.  Recent advances in oral health. Report of a WHO Expert Committee.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1992

4.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

5.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

Review 6.  Dental caries.

Authors:  Robert H Selwitz; Amid I Ismail; Nigel B Pitts
Journal:  Lancet       Date:  2007-01-06       Impact factor: 79.321

7.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

Review 8.  Curses--winner's and otherwise--in genetic epidemiology.

Authors:  Peter Kraft
Journal:  Epidemiology       Date:  2008-09       Impact factor: 4.822

9.  Identification of a shared genetic susceptibility locus for coronary heart disease and periodontitis.

Authors:  Arne S Schaefer; Gesa M Richter; Birte Groessner-Schreiber; Barbara Noack; Michael Nothnagel; Nour-Eddine El Mokhtari; Bruno G Loos; Søren Jepsen; Stefan Schreiber
Journal:  PLoS Genet       Date:  2009-02-13       Impact factor: 5.917

10.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

View more
  7 in total

1.  The building blocks of precision oral health in early childhood: the ZOE 2.0 study.

Authors:  Kimon Divaris; Ashwini Joshi
Journal:  J Public Health Dent       Date:  2018-12-19       Impact factor: 1.821

2.  Measurement of Early Childhood Oral Health for Research Purposes: Dental Caries Experience and Developmental Defects of the Enamel in the Primary Dentition.

Authors:  Jeannie Ginnis; Andrea G Ferreira Zandoná; Gary D Slade; John Cantrell; Mikafui E Antonio; Bhavna T Pahel; Beau D Meyer; Poojan Shrestha; Miguel A Simancas-Pallares; Ashwini R Joshi; Kimon Divaris
Journal:  Methods Mol Biol       Date:  2019

3.  Biologically Defined or Biologically Informed Traits Are More Heritable Than Clinically Defined Ones: The Case of Oral and Dental Phenotypes.

Authors:  Cary S Agler; Kevin Moss; Kamaira H Philips; Julie T Marchesan; Miguel Simancas-Pallares; James D Beck; Kimon Divaris
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

4.  Phenotype Harmonization in the GLIDE2 Oral Health Genomics Consortium.

Authors:  K Divaris; S Haworth; J R Shaffer; V Anttonen; J D Beck; Y Furuichi; B Holtfreter; D Jönsson; T Kocher; S M Levy; P K E Magnusson; D W McNeil; K Michaëlsson; K E North; U Palotie; P N Papapanou; P J Pussinen; D Porteous; K Reis; A Salminen; A S Schaefer; T Sudo; Y Q Sun; A L Suominen; T Tamahara; S M Weinberg; P Lundberg; M L Marazita; I Johansson
Journal:  J Dent Res       Date:  2022-08-24       Impact factor: 8.924

Review 5.  Sources of bias in genomics research of oral and dental traits.

Authors:  C S Agler; K Divaris
Journal:  Community Dent Health       Date:  2020-02-27       Impact factor: 1.349

6.  Cohort Profile: ZOE 2.0-A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health.

Authors:  Kimon Divaris; Gary D Slade; Andrea G Ferreira Zandona; John S Preisser; Jeannie Ginnis; Miguel A Simancas-Pallares; Cary S Agler; Poojan Shrestha; Deepti S Karhade; Apoena de Aguiar Ribeiro; Hunyong Cho; Yu Gu; Beau D Meyer; Ashwini R Joshi; M Andrea Azcarate-Peril; Patricia V Basta; Di Wu; Kari E North
Journal:  Int J Environ Res Public Health       Date:  2020-11-01       Impact factor: 3.390

7.  Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods.

Authors:  Muhammad Muneeb; Andreas Henschel
Journal:  BMC Bioinformatics       Date:  2021-04-19       Impact factor: 3.169

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.