Literature DB >> 26526297

Analysis of Imprinted Gene Regulation.

David A Skaar1, Randy L Jirtle2,3.   

Abstract

Genetic studies have been well established for identifying sequence variants associated with phenotypes. With the expanding field of epigenetics, and the growing understanding of epigenetic regulation of gene expression, similar studies can be undertaken to also define associations between epigenetic variation and phenotypes. Of particular interest are imprinted genes, which have parent-of-origin specific regulation and expression, and are key regulators of early development. Herein, we describe methods for examining epigenetic regulation by the two major hallmarks of imprinted genes: differentially methylated regions (DMRs), regulatory DNA sequences with allele specific methylation; and monoallelic expression, the silencing and transcription of opposite alleles in a parent-of-origin specific manner.

Keywords:  Bisulfite conversion; Differentially methylated region (DMR); Imprinted gene; Monoallelic expression; Single nucleotide polymorphism (SNP)

Mesh:

Substances:

Year:  2017        PMID: 26526297     DOI: 10.1007/7651_2015_264

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


  2 in total

1.  Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield of disease-associated regulatory SNPs.

Authors:  Catherine Do; Emmanuel L P Dumont; Martha Salas; Angelica Castano; Huthayfa Mujahed; Leonel Maldonado; Arunjot Singh; Sonia C DaSilva-Arnold; Govind Bhagat; Soren Lehman; Angela M Christiano; Subha Madhavan; Peter L Nagy; Peter H R Green; Rena Feinman; Cornelia Trimble; Nicholas P Illsley; Karen Marder; Lawrence Honig; Catherine Monk; Andre Goy; Kar Chow; Samuel Goldlust; George Kaptain; David Siegel; Benjamin Tycko
Journal:  Genome Biol       Date:  2020-06-29       Impact factor: 13.583

2.  SNP Array as a Tool for Prenatal Diagnosis of Congenital Heart Disease Screened by Echocardiography: Implications for Precision Assessment of Fetal Prognosis.

Authors:  Hailong Huang; Meiying Cai; Yan Wang; Bin Liang; Na Lin; Liangpu Xu
Journal:  Risk Manag Healthc Policy       Date:  2021-01-27
  2 in total

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