Literature DB >> 31456352

AHRR methylation predicts smoking status and smoking intensity in both saliva and blood DNA.

Robert Philibert1,2, Meeshanthini Dogan1,3, Steven R H Beach4, James A Mills1, Jeffrey D Long1,5.   

Abstract

Many existing DNA repositories do not have robust characterizations of smoking, while for many currently ongoing studies, the advent of vaping has rendered traditional cotinine-based methods of determining smoking status unreliable. Previously, we have shown that methylation status at cg05575921 in whole blood DNA can reliably predict cigarette consumption. However, whether methylation status in saliva can be used similarly has yet to be established. Herein, we use DNA from 418 biochemically confirmed smokers or nonsmokers to compare and contrast the utility of cg05575921 in classifying and quantifying cigarette smoking. Using whole blood DNA, a model incorporating age, gender, and methylation status had a receiver operating characteristic (ROC) area under the curve (AUC) for predicting smoking status of 0.995 with a nonlinear demethylation response to smoking. Using saliva DNA, the ROC AUC for predicting smoking was 0.971 with the plot of the relationship of DNA methylation to daily cigarette consumption being very similar to that seen for whole blood DNA. The addition of information from another methylation marker designed to correct for cellular heterogeneity improved the AUC for saliva DNA to 0.981. Finally, in 31 subjects who reported quitting smoking 10 or more years previously, cg05575921 methylation was nonsignificantly different from controls. We conclude that DNA methylation status at cg05575921 in DNA from whole blood or saliva predicts smoking status and daily cigarette consumption. We suggest these epigenetic assessments for objectively ascertaining smoking status will find utility in research, clinical, and civil applications.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  AHRR; methylation; saliva DNA; smoking; whole blood DNA

Mesh:

Substances:

Year:  2019        PMID: 31456352     DOI: 10.1002/ajmg.b.32760

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  22 in total

Review 1.  DNA methylation-based predictors of health: applications and statistical considerations.

Authors:  Paul D Yousefi; Matthew Suderman; Ryan Langdon; Oliver Whitehurst; George Davey Smith; Caroline L Relton
Journal:  Nat Rev Genet       Date:  2022-03-18       Impact factor: 53.242

2.  Novel blood-based hypomethylation of SH3BP5 is associated with very early-stage lung adenocarcinoma.

Authors:  Rong Qiao; Runbo Zhong; Chunlan Liu; Feifei Di; Zheng Zhang; Ling Wang; Tian Xu; Yue Wang; Liping Dai; Wanjian Gu; Baohui Han; Rongxi Yang
Journal:  Genes Genomics       Date:  2021-11-16       Impact factor: 1.839

3.  Longitudinal change in blood DNA epigenetic signature after smoking cessation.

Authors:  Amena Keshawarz; Roby Joehanes; Weihua Guan; Tianxiao Huan; Dawn L DeMeo; Megan L Grove; Myriam Fornage; Daniel Levy; George O'Connor
Journal:  Epigenetics       Date:  2021-10-06       Impact factor: 4.861

4.  DNA methylation differentiates smoking from vaping and non-combustible tobacco use.

Authors:  Allan Andersen; Rachel Reimer; Kelsey Dawes; Ashley Becker; Natasha Hutchens; Shelly Miller; Meesha Dogan; Brandon Hundley; James A Mills; Jeffrey D Long; Robert Philibert
Journal:  Epigenetics       Date:  2021-02-25       Impact factor: 4.528

5.  A simple, rapid, interpretable, actionable and implementable digital PCR based mortality index.

Authors:  Robert Philibert; Jeffrey D Long; James A Mills; S R H Beach; Frederick X Gibbons; Meg Gerrard; Ron Simons; Paulo B Pinho; Douglas Ingle; Kelsey Dawes; Timur Dogan; Meeshanthini Dogan
Journal:  Epigenetics       Date:  2020-11-02       Impact factor: 4.528

6.  External validation of integrated genetic-epigenetic biomarkers for predicting incident coronary heart disease.

Authors:  Meeshanthini V Dogan; Stacey Knight; Timur K Dogan; Kirk U Knowlton; Robert Philibert
Journal:  Epigenomics       Date:  2021-06-21       Impact factor: 4.357

7.  Array-Based Epigenetic Aging Indices May Be Racially Biased.

Authors:  Robert Philibert; Steven R H Beach; Man-Kit Lei; Frederick X Gibbons; Meg Gerrard; Ronald L Simons; Meeshanthini V Dogan
Journal:  Genes (Basel)       Date:  2020-06-22       Impact factor: 4.096

Review 8.  Cigarette smoke-induced alterations in blood: A review of research on DNA methylation and gene expression.

Authors:  Constanza P Silva; Helen M Kamens
Journal:  Exp Clin Psychopharmacol       Date:  2020-07-13       Impact factor: 3.157

9.  AHRR cg05575921 methylation in relation to smoking and PM2.5 exposure among Taiwanese men and women.

Authors:  Disline Manli Tantoh; Ming-Chi Wu; Chun-Chao Chuang; Pei-Hsin Chen; Yeu Sheng Tyan; Oswald Ndi Nfor; Wen-Yu Lu; Yung-Po Liaw
Journal:  Clin Epigenetics       Date:  2020-07-31       Impact factor: 6.551

10.  A Comparison of the Predictive Power of DNA Methylation with Carbohydrate Deficient Transferrin for Heavy Alcohol Consumption.

Authors:  Shelly Miller; James A Mills; Jeffrey Long; Robert Philibert
Journal:  Epigenetics       Date:  2020-10-26       Impact factor: 4.528

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