Literature DB >> 32845048

"Epigenetic clocks": Theory and applications in human biology.

Calen P Ryan1.   

Abstract

All humans age, but how we age-and how fast-differs considerably from person to person. This deviation between apparent age and chronological age is often referred to as "biological age" (BA) and until recently robust tools for studying BA have been scarce. "Epigenetic clocks" are starting to change this. Epigenetic clocks use predictable changes in the epigenome, usually DNA methylation, to estimate chronological age with unprecedented accuracy. More importantly, deviations between epigenetic age and chronological age predict a broad range of health outcomes and mortality risks better than chronological age alone. Thus, epigenetic clocks appear to capture fundamental molecular processes tied to BA and can serve as powerful tools for studying health, development, and aging across the lifespan. In this article, I review epigenetic clocks, especially as they relate to key theoretical and applied issues in human biology. I first provide an overview of how epigenetic clocks are constructed and what we know about them. I then discuss emerging applications of particular relevance to human biologists-those related to reproduction, life-history, stress, and the environment. I conclude with an overview of the methods necessary for implementing epigenetic clocks, including considerations of study design, sample collection, and technical considerations for processing and interpreting epigenetic clocks. The goal of this review is to highlight some of the ways that epigenetic clocks can inform questions in human biology, and vice versa, and to provide human biologists with the foundational knowledge necessary to successfully incorporate epigenetic clocks into their research.
© 2020 Wiley Periodicals LLC.

Entities:  

Year:  2020        PMID: 32845048     DOI: 10.1002/ajhb.23488

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  11 in total

1.  Maternal epigenetic clocks measured during pregnancy do not predict gestational age at delivery or offspring birth outcomes: a replication study in metropolitan Cebu, Philippines.

Authors:  Calen P Ryan; Raviraj J Rege; Nanette R Lee; Delia B Carba; Michael S Kobor; Julie L MacIsaac; David S Lin; Parmida Atashzay; Christopher W Kuzawa
Journal:  Clin Epigenetics       Date:  2022-06-22       Impact factor: 7.259

Review 2.  One of the Primary Functions of Tissue-Resident Pluripotent Pericytes Cells May Be to Regulate Normal Organ Growth and Maturation: Implications for Attempts to Repair Tissues Later in Life.

Authors:  David A Hart
Journal:  Int J Mol Sci       Date:  2022-05-14       Impact factor: 6.208

3.  Characteristics of epigenetic aging across gestational and perinatal tissues.

Authors:  Linda Dieckmann; Marius Lahti-Pulkkinen; Tuomas Kvist; Jari Lahti; Peter E DeWitt; Cristiana Cruceanu; Hannele Laivuori; Sara Sammallahti; Pia M Villa; Sanna Suomalainen-König; Johan G Eriksson; Eero Kajantie; Katri Raikkönen; Elisabeth B Binder; Darina Czamara
Journal:  Clin Epigenetics       Date:  2021-04-29       Impact factor: 6.551

4.  The temporary cost of dominance.

Authors:  Calen P Ryan; Christopher W Kuzawa
Journal:  Elife       Date:  2021-04-30       Impact factor: 8.140

5.  Peripheral mitochondrial DNA, telomere length and DNA methylation as predictors of live birth in in vitro fertilization cycles.

Authors:  Letizia Li Piani; Marco Reschini; Edgardo Somigliana; Stefania Ferrari; Andrea Busnelli; Paola Viganò; Chiara Favero; Benedetta Albetti; Mirjam Hoxha; Valentina Bollati
Journal:  PLoS One       Date:  2022-01-24       Impact factor: 3.240

Review 6.  How to Slow down the Ticking Clock: Age-Associated Epigenetic Alterations and Related Interventions to Extend Life Span.

Authors:  Anne-Marie Galow; Shahaf Peleg
Journal:  Cells       Date:  2022-01-29       Impact factor: 6.600

Review 7.  The landscape of aging.

Authors:  Yusheng Cai; Wei Song; Jiaming Li; Ying Jing; Chuqian Liang; Liyuan Zhang; Xia Zhang; Wenhui Zhang; Beibei Liu; Yongpan An; Jingyi Li; Baixue Tang; Siyu Pei; Xueying Wu; Yuxuan Liu; Cheng-Le Zhuang; Yilin Ying; Xuefeng Dou; Yu Chen; Fu-Hui Xiao; Dingfeng Li; Ruici Yang; Ya Zhao; Yang Wang; Lihui Wang; Yujing Li; Shuai Ma; Si Wang; Xiaoyuan Song; Jie Ren; Liang Zhang; Jun Wang; Weiqi Zhang; Zhengwei Xie; Jing Qu; Jianwei Wang; Yichuan Xiao; Ye Tian; Gelin Wang; Ping Hu; Jing Ye; Yu Sun; Zhiyong Mao; Qing-Peng Kong; Qiang Liu; Weiguo Zou; Xiao-Li Tian; Zhi-Xiong Xiao; Yong Liu; Jun-Ping Liu; Moshi Song; Jing-Dong J Han; Guang-Hui Liu
Journal:  Sci China Life Sci       Date:  2022-09-02       Impact factor: 10.372

8.  Advancing understanding of maternal age: correlating epigenetic clocks in blood and myometrium.

Authors:  Elise N Erickson; Anna K Knight; Alicia K Smith; Leslie Myatt
Journal:  Epigenetics Commun       Date:  2022-05-23

Review 9.  A biosocial return to race? A cautionary view for the postgenomic era.

Authors:  Maurizio Meloni; Tessa Moll; Ayuba Issaka; Christopher W Kuzawa
Journal:  Am J Hum Biol       Date:  2022-03-11       Impact factor: 2.947

10.  Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons.

Authors:  Leonard C Steg; Gemma L Shireby; Jennifer Imm; Jonathan P Davies; Alice Franklin; Robert Flynn; Seema C Namboori; Akshay Bhinge; Aaron R Jeffries; Joe Burrage; Grant W A Neilson; Emma M Walker; Leo W Perfect; Jack Price; Grainne McAlonan; Deepak P Srivastava; Nicholas J Bray; Emma L Cope; Kimberley M Jones; Nicholas D Allen; Ehsan Pishva; Emma L Dempster; Katie Lunnon; Jonathan Mill; Eilis Hannon
Journal:  Mol Brain       Date:  2021-06-26       Impact factor: 4.041

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.