Identification of genetic features associated with fine particulate matter (PM2.5) modulated DNA damage using improved random forest analysis.
Gene(2020)
摘要
•An improved RF method was proposed to better identify key risk factors in GWAS data.•A total of 24 independent SNVs were identified to be associated with DNA damage levels.•The potential biological mechanism of 24 SNVs in influencing DNA damage levels was explored by mediation analysis and functional annotation analysis.
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关键词
SNVs,DNA,RF,GWAS,GRS,DEPICT,MSE,VIMs,GLM,SCGE,MAF,INT,RFF,SWSFS,wGRS,LD,GO,KEGG,BP,CC,MF,RNA,TFBS,GTEx,CRC,eQTL,mRNA
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