Framework for microRNA variant annotation and prioritization using human population and disease datasets.
Framework for microRNA variant annotation and prioritization using human population and disease datasets.
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DOI:
10.1002/humu.23668
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发表时间:
2019-01
期刊:
影响因子:
3.9
通讯作者:
Plon SE
中科院分区:
文献类型:
--
作者:
Oak N;Ghosh R;Huang KL;Wheeler DA;Ding L;Plon SE
MicroRNA (miRNA) expression is frequently deregulated in human disease, in contrast, disease-associated miRNA mutations are understudied. We developed Annotative Database of miRNA Elements, ADmiRE that combines multiple existing and new biological annotations to aid prioritization of causal miRNA variation. We annotated 10,206 mature (3,257 within seed region) miRNA variants from multiple large sequencing datasets including gnomAD (15,496 genomes; 123,136 exomes). The pattern of miRNA variation closely resembles protein-coding exonic regions, with no difference between intragenic and intergenic miRNAs (p=0.56), and high confidence miRNAs demonstrate higher sequence constraint (p<0.001). Conservation analysis across 100 vertebrates identified 765 highly conserved miRNAs that also have limited genetic variation in gnomAD. We applied ADmiRE to the TCGA PanCancerAtlas WES datasets from over 10,000 individuals across 33 adult cancers and annotated 1,267 germline (rare in gnomAD) and 1,492 somatic miRNA variants. Several miRNA families with deregulated gene expression in cancer have low levels of both somatic and germline variants, e.g. let-7, miR-10. In addition to known somatic miR-142 mutations in hematologic cancers, we describe novel somatic miR-21 mutations in esophageal cancers impacting downstream miRNA targets. Through the development of ADmiRE, we present a framework for annotation and prioritization of miRNA variation in disease datasets.
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影响因子:
3.7
作者:
Hill CG;Jabbari N;Matyunina LV;McDonald JF
通讯作者:
McDonald JF
DOI:
10.1146/annurev.pathol.4.110807.092222
发表时间:
2009
期刊:
Annual review of pathology
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作者:
Altuvia Y;Landgraf P;Lithwick G;Elefant N;Pfeffer S;Aravin A;Brownstein MJ;Tuschl T;Margalit H
通讯作者:
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