Literature DB >> 29436922

Breast cancer family history and allele-specific DNA methylation in the legacy girls study.

Hui-Chen Wu1,2, Catherine Do3, Irene L Andrulis4,5, Esther M John6,7, Mary B Daly8, Saundra S Buys9, Wendy K Chung10, Julia A Knight4,11, Angela R Bradbury12, Theresa H M Keegan13,14, Lisa Schwartz15,16, Izabela Krupska1, Rachel L Miller1,10, Regina M Santella1,2, Benjamin Tycko3,17, Mary Beth Terry1,2,18,19.   

Abstract

Family history, a well-established risk factor for breast cancer, can have both genetic and environmental contributions. Shared environment in families as well as epigenetic changes that also may be influenced by shared genetics and environment may also explain familial clustering of cancers. Epigenetic regulation, such as DNA methylation, can change the activity of a DNA segment without a change in the sequence; environmental exposures experienced across the life course can induce such changes. However, genetic-epigenetic interactions, detected as methylation quantitative trait loci (mQTLs; a.k.a. meQTLs) and haplotype-dependent allele-specific methylation (hap-ASM), can also contribute to inter-individual differences in DNA methylation patterns. To identify differentially methylated regions (DMRs) associated with breast cancer susceptibility, we examined differences in white blood cell DNA methylation in 29 candidate genes in 426 girls (ages 6-13 years) from the LEGACY Girls Study, 239 with and 187 without a breast cancer family history (BCFH). We measured methylation by targeted massively parallel bisulfite sequencing (bis-seq) and observed BCFH DMRs in two genes: ESR1 (Δ4.9%, P = 0.003) and SEC16B (Δ3.6%, P = 0.026), each of which has been previously implicated in breast cancer susceptibility and pubertal development. These DMRs showed high inter-individual variability in methylation, suggesting the presence of mQTLs/hap-ASM. Using single nucleotide polymorphisms data in the bis-seq amplicon, we found strong hap-ASM in SEC16B (with allele specific-differences ranging from 42% to 74%). These findings suggest that differential methylation in genes relevant to breast cancer susceptibility may be present early in life, and that inherited genetic factors underlie some of these epigenetic differences.

Entities:  

Keywords:  Breast cancer family history; DNA methylation; mQTL; white blood cells, childhood and adolescent cohort

Mesh:

Substances:

Year:  2018        PMID: 29436922      PMCID: PMC5997170          DOI: 10.1080/15592294.2018.1435243

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  55 in total

Review 1.  DNA methylation and human disease.

Authors:  Keith D Robertson
Journal:  Nat Rev Genet       Date:  2005-08       Impact factor: 53.242

2.  Constitutional methylation of the BRCA1 promoter is specifically associated with BRCA1 mutation-associated pathology in early-onset breast cancer.

Authors:  Ee Ming Wong; Melissa C Southey; Stephen B Fox; Melissa A Brown; James G Dowty; Mark A Jenkins; Graham G Giles; John L Hopper; Alexander Dobrovic
Journal:  Cancer Prev Res (Phila)       Date:  2010-10-26

3.  Comparison of Clinical, Maternal, and Self Pubertal Assessments: Implications for Health Studies.

Authors:  Mary Beth Terry; Mandy Goldberg; Sarah Schechter; Lauren C Houghton; Melissa L White; Karen O'Toole; Wendy K Chung; Mary B Daly; Theresa H M Keegan; Irene L Andrulis; Angela R Bradbury; Lisa Schwartz; Julia A Knight; Esther M John; Saundra S Buys
Journal:  Pediatrics       Date:  2016-06-08       Impact factor: 7.124

4.  Mapping allele-specific DNA methylation: a new tool for maximizing information from GWAS.

Authors:  Benjamin Tycko
Journal:  Am J Hum Genet       Date:  2010-02-12       Impact factor: 11.025

5.  Promoter hypermethylation and BRCA1 inactivation in sporadic breast and ovarian tumors.

Authors:  M Esteller; J M Silva; G Dominguez; F Bonilla; X Matias-Guiu; E Lerma; E Bussaglia; J Prat; I C Harkes; E A Repasky; E Gabrielson; M Schutte; S B Baylin; J G Herman
Journal:  J Natl Cancer Inst       Date:  2000-04-05       Impact factor: 13.506

6.  The UCSC Genome Browser.

Authors:  Donna Karolchik; Angie S Hinrichs; W James Kent
Journal:  Curr Protoc Bioinformatics       Date:  2009-12

7.  Population-specificity of human DNA methylation.

Authors:  Hunter B Fraser; Lucia L Lam; Sarah M Neumann; Michael S Kobor
Journal:  Genome Biol       Date:  2012-02-09       Impact factor: 13.583

Review 8.  Environmental chemicals and DNA methylation in adults: a systematic review of the epidemiologic evidence.

Authors:  Adrian Ruiz-Hernandez; Chin-Chi Kuo; Pilar Rentero-Garrido; Wan-Yee Tang; Josep Redon; Jose M Ordovas; Ana Navas-Acien; Maria Tellez-Plaza
Journal:  Clin Epigenetics       Date:  2015-04-29       Impact factor: 6.551

9.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

10.  Promoter Hypermethylation in White Blood Cell DNA and Breast Cancer Risk.

Authors:  Yoon Hee Cho; Lauren E McCullough; Marilie D Gammon; Hui-Chen Wu; Yu-Jing Zhang; Qiao Wang; Xinran Xu; Susan L Teitelbaum; Alfred I Neugut; Jia Chen; Regina M Santella
Journal:  J Cancer       Date:  2015-07-15       Impact factor: 4.207

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1.  Is breast cancer a result of epigenetic responses to traffic-related air pollution? A review of the latest evidence.

Authors:  Debashish Sahay; Mary B Terry; Rachel Miller
Journal:  Epigenomics       Date:  2019-05-09       Impact factor: 4.778

2.  DDT exposure during pregnancy and DNA methylation alterations in female offspring in the Child Health and Development Study.

Authors:  Hui-Chen Wu; Barbara A Cohn; Piera M Cirillo; Regina M Santella; Mary Beth Terry
Journal:  Reprod Toxicol       Date:  2019-02-26       Impact factor: 3.143

Review 3.  Triple-Negative Breast Cancer: A Brief Review About Epidemiology, Risk Factors, Signaling Pathways, Treatment and Role of Artificial Intelligence.

Authors:  Nahlah Makki Almansour
Journal:  Front Mol Biosci       Date:  2022-01-25

4.  Reversal of increased mammary tumorigenesis by valproic acid and hydralazine in offspring of dams fed high fat diet during pregnancy.

Authors:  F de Oliveira Andrade; N M Nguyen; A Warri; L Hilakivi-Clarke
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

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