Literature DB >> 25568460

Twin methodology in epigenetic studies.

Qihua Tan1, Lene Christiansen2, Jacob von Bornemann Hjelmborg3, Kaare Christensen2.   

Abstract

Since the final decades of the last century, twin studies have made a remarkable contribution to the genetics of human complex traits and diseases. With the recent rapid development in modern biotechnology of high-throughput genetic and genomic analyses, twin modelling is expanding from analysis of diseases to molecular phenotypes in functional genomics especially in epigenetics, a thriving field of research that concerns the environmental regulation of gene expression through DNA methylation, histone modification, microRNA and long non-coding RNA expression, etc. The application of the twin method to molecular phenotypes offers new opportunities to study the genetic (nature) and environmental (nurture) contributions to epigenetic regulation of gene activity during developmental, ageing and disease processes. Besides the classical twin model, the case co-twin design using identical twins discordant for a trait or disease is becoming a popular and powerful design for epigenome-wide association study in linking environmental exposure to differential epigenetic regulation and to disease status while controlling for individual genetic make-up. It can be expected that novel uses of twin methods in epigenetic studies are going to help with efficiently unravelling the genetic and environmental basis of epigenomics in human complex diseases.
© 2015. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Complex phenotypes; Epigenomics; Twins

Mesh:

Year:  2015        PMID: 25568460     DOI: 10.1242/jeb.107151

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  33 in total

Review 1.  The role of DNA methylation in the association between childhood adversity and cardiometabolic disease.

Authors:  Guang Hao; Nagy A Youssef; Catherine L Davis; Shaoyong Su
Journal:  Int J Cardiol       Date:  2017-12-24       Impact factor: 4.164

2.  Circulating, Cell-Free Micro-RNA Profiles Reflect Discordant Development of Dementia in Monozygotic Twins.

Authors:  Jonas Mengel-From; Mette E Rønne; Anting L Carlsen; Kristin Skogstrand; Lisbeth A Larsen; Qihua Tan; Lene Christiansen; Kaare Christensen; Niels H H Heegaard
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 3.  An Epigenetic Perspective on Lifestyle Medicine for Depression: Implications for Primary Care Practice.

Authors:  Jenny Sunghyun Lee; Paresh Atu Jaini; Frank Papa
Journal:  Am J Lifestyle Med       Date:  2020-09-10

4.  Insufficient sleep during infancy is correlated with excessive weight gain in childhood: a longitudinal twin cohort study.

Authors:  Jiaxiao Yu; Huili Jin; Li Wen; Wenjin Zhang; Richard Saffery; Chao Tong; Hongbo Qi; Mark D Kilby; Philip N Baker
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.062

5.  Genetic Regulation of Immunoglobulin G Glycosylation.

Authors:  Azra Frkatovic; Olga O Zaytseva; Lucija Klaric
Journal:  Exp Suppl       Date:  2021

6.  Circulating microRNAs disclose biology of normal cognitive function in healthy elderly people - a discovery twin study.

Authors:  Jonas Mengel-From; Søren Feddersen; Ulrich Halekoh; Niels H H Heegaard; Matt McGue; Kaare Christensen; Qihua Tan; Lene Christiansen
Journal:  Eur J Hum Genet       Date:  2018-05-02       Impact factor: 4.246

7.  Differential DNA methylation analysis optimally requires purified cell populations.

Authors:  Michael K Skinner
Journal:  Fertil Steril       Date:  2016-06-24       Impact factor: 7.329

8.  [Correlation between fasting plasma glucose, HbA1c and DNA methylation in adult twins].

Authors:  Z N Wang; W J Gao; B Q Wang; W H Cao; J Lv; C Q Yu; Z C Pang; L M Cong; H Wang; X P Wu; Y Liu; L M Li
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-06-18

9.  DNA methylome profiling in identical twin pairs discordant for body mass index.

Authors:  Weilong Li; Dongfeng Zhang; Weijing Wang; Yili Wu; Afsaneh Mohammadnejad; Jesper Lund; Jan Baumbach; Lene Christiansen; Qihua Tan
Journal:  Int J Obes (Lond)       Date:  2019-05-31       Impact factor: 5.095

Review 10.  Low birth weight as a predictor of adverse health outcomes during adulthood in twins: a systematic review and meta-analysis.

Authors:  Sapha Hassan; Shayesteh Jahanfar; Joseph Inungu; Jeffrey M Craig
Journal:  Syst Rev       Date:  2021-06-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.