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Identification of genetic features associated with fine particulate matter (PM2.5) modulated DNA damage using improved random forest analysis.

Gene - 25 May 2020

You Dongfang, Qin Na, Zhang Mingzhi, Dai Juncheng, Du Mulong, Wei Yongyue, Zhang Ruyang, Hu Zhibin, Christiani David C, Zhao Yang, Chen Feng

Abstract excerpt

Recent studies have found multiple single nucleotide variants (SNVs) associated with DNA damage. However, previous association analysis may ignore the potential interaction effects between SNVs. Therefore, we used an improved random forest (RF) analysis to identify the SNVs related to personal DNA damage in exon-focused genome-wide association study (GWAS). A total of 301 subjects from three independent centers...

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PMID: 32165298
DOI: 10.1016/j.gene.2020.144570

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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