Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle-Reference-Cited by-同舟云学术

Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle

Published:2020-09 Issue:9 Volume:2 Page:946-957
ISSN:2522-5812
Container-title:Nature Metabolism
language:en
Short-container-title:Nat Metab

Author:

Xia Xian^ORCID,Chen Xingwei,Wu Gang,Li Fang,Wang Yiyang,Chen Yang,Chen Mingxu,Wang Xinyu,Chen Weiyang^ORCID,Xian Bo,Chen Weizhong,Cao Yaqiang^ORCID,Xu Chi,Gong Wenxuan,Chen Guoyu,Cai Donghong,Wei Wenxin,Yan Yizhen^ORCID,Liu Kangping,Qiao Nan,Zhao Xiaohui,Jia Jin,Wang Wei^ORCID,Kennedy Brian K.,Zhang Kang^ORCID,Cannistraci Carlo V.^ORCID,Zhou Yong^ORCID,Han Jing-Dong J.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Physiology (medical),Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://www.nature.com/articles/s42255-020-00270-x.pdf

Reference44 articles.

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2. Lehallier, B. et al. Undulating changes in human plasma proteome profiles across the lifespan. Nat. Med. 25, 1843–1850 (2019).

3. Hannum, G. et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol. Cell 49, 359–367 (2013).

4. Horvath, S. DNA methylation age of human tissues and cell types. Genome Biol. 14, 3156 (2013).

5. Unschuld, P. U. & Tessenow, H. Huang Di Nei Jing Su Wen (University of California Press, 2011).

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