Evidence map›Paper›PMID 38802969›Full record

ArticleClinical epigenetics2024

Longitudinal analysis of epigenome-wide DNA methylation reveals novel loci associated with BMI change in East Asians.

Wenran Li, Mingfeng Xia, Hailuan Zeng, Huandong Lin, Andrew E Teschendorff, Xin Gao, Sijia Wang

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenran Li *CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Mingfeng Xia *Department of Endocrinology and Metabolism, Zhongshan Hospital and Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China.
Hailuan ZengDepartment of Endocrinology and Metabolism, Zhongshan Hospital and Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China.
Huandong LinDepartment of Endocrinology and Metabolism, Zhongshan Hospital and Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China.
Andrew E TeschendorffCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital and Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China. zhongshan_endo@126.com.ORCID http://orcid.org/0000-0003-1864-7796
Sijia WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. wangsijia@picb.ac.cn.ORCID http://orcid.org/0000-0001-6961-7867

Funding

China Postdoctoral Science Foundation 2021M693274Chinese Academy of Sciences Young Team Program for Stable Support of Basic Research YSBR-077National Key Research and Development Program of China 2018YFC0910403National Natural Science Foundation of China 32200472National Natural Science Foundation of China 32371333National Natural Science Foundation of China 92249306Program of Shanghai Academic Research Leader 23XD1423300Shanghai Municipal Science and Technology Major Project 2017SHZDZX01Shanghai Science and Technology Commission Excellent Academic Leaders Program 22XD1424700Strategic Priority Research Program of the Chinese Academy of Sciences XDB38020400
6 · The paper itself

Abstract

backgroundObesity is a global public health concern linked to chronic diseases such as cardiovascular disease and type 2 diabetes (T2D). Emerging evidence suggests that epigenetic modifications, particularly DNA methylation, may contribute to obesity. However, the molecular mechanism underlying the longitudinal change of BMI has not been well-explored, especially in East Asian populations.

methodsThis study performed a longitudinal epigenome-wide association analysis of DNA methylation to uncover novel loci associated with BMI change in 533 individuals across two Chinese cohorts with repeated DNA methylation and BMI measurements over four years.

resultsWe identified three novel CpG sites (cg14671384, cg25540824, and cg10848724) significantly associated with BMI change. Two of the identified CpG sites were located in regions previously associated with body shape and basal metabolic rate. Annotation of the top 20 BMI change-associated CpGs revealed strong connections to obesity and T2D. Notably, these CpGs exhibited active regulatory roles and located in genes with high expression in the liver and digestive tract, suggesting a potential regulatory pathway from genome to phenotypes of energy metabolism and absorption via DNA methylation. Cross-sectional and longitudinal EWAS comparisons indicated different mechanisms between CpGs related to BMI and BMI change.

conclusionThis study enhances our understanding of the epigenetic dynamics underlying BMI change and emphasizes the value of longitudinal analyses in deciphering the complex interplay between epigenetics and obesity.

Indexed as

Body Mass IndexCpG IslandsDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyObesityAdultChinaCross-Sectional StudiesDiabetes Mellitus, Type 2East Asian PeopleEpigenomeFemaleHumansLongitudinal StudiesMaleBMI changeDNA methylationEast Asian populationEWASObesity

Identifiers

PMID38802969
PMCPMC11131215

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.