Evidence map›Paper›PMID 38507014›Full record

ArticleHuman genetics2024

The association between DNA methylation and human height and a prospective model of DNA methylation-based height prediction.

Zhonghua Wang, Guangping Fu, Guanju Ma, Chunyan Wang, Qian Wang, Chaolong Lu, Lihong Fu, Xiaojing Zhang, Bin Cong, Shujin Li

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zhonghua WangCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Guangping FuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Guanju MaCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Chunyan WangPhysical Examination Center of Shijiazhuang People's Hospital, Shijiazhuang, 050011, Hebei, China.
Qian WangCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Chaolong LuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Lihong FuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Xiaojing ZhangCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Bin CongCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
Shujin LiCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China. shujinli@hebmu.edu.cn.

Funding

National Natural Science Foundation of China 82072118Natural Science Foundation of Hebei Province H2021206451the S&T Program of Hebei 225A5602D
6 · The paper itself

Abstract

As a vital anthropometric characteristic, human height information not only helps to understand overall developmental status and genetic risk factors, but is also important for forensic DNA phenotyping. We utilized linear regression analysis to test the association between each CpG probe and the height phenotype. Next, we designed a methylation sequencing panel targeting 959 CpGs and subsequent height inference models were constructed for the Chinese population. A total of 11,730 height-associated sites were identified. By employing KPCA and deep neural networks, a prediction model was developed, of which the cross-validation RMSE, MAE and R

Indexed as

Body HeightCpG IslandsDNA MethylationAdultEast Asian PeopleFemaleHumansMalePhenotypePolymorphism, Single NucleotideProspective Studies

Identifiers

PMID38507014

What OpenQuestion holds

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Registered trials

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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.