@article {90,
	title = {dbMTS: A comprehensive database of putative human microRNA target site SNVs and their functional predictions.},
	journal = {Hum Mutat},
	volume = {41},
	year = {2020},
	month = {2020 06},
	pages = {1123-1130},
	abstract = {<p>MicroRNAs (miRNA) are short noncoding RNAs that can repress the expression of protein-coding messenger RNAs (mRNAs) by binding to the 3{\textquoteright}-untranslated region (UTR) of the target. Genetic mutations such as single nucleotide variants (SNVs) in the 3{\textquoteright}-UTR of the mRNAs can disrupt miRNA regulation. In this study, we presented dbMTS, a database for miRNA target site (MTS) SNVs and their functional annotations. This database can help studies easily identify putative SNVs that affect miRNA targeting and facilitate the prioritization of their functional importance. dbMTS is freely available for academic use at http://database.liulab.science/dbMTS as a web service or a downloadable attached database of dbNSFP.</p>},
	issn = {1098-1004},
	doi = {10.1002/humu.24020},
	author = {Li, Chang and Mou, Chengcheng and Swartz, Michael D and Yu, Bing and Bai, Yongsheng and Tu, Yicheng and Liu, Xiaoming}
}
@article {31,
	title = {Genetic variants in microRNA genes and targets associated with cardiovascular disease risk factors in the African-American population.},
	journal = {Hum Genet},
	volume = {137},
	year = {2018},
	month = {2018 Jan},
	pages = {85-94},
	abstract = {<p>The purpose of this study is to identify microRNA (miRNA) related polymorphism, including single nucleotide variants (SNVs) in mature miRNA-encoding sequences or in miRNA-target sites, and their association with cardiovascular disease (CVD) risk factors in African-American population. To achieve our objective, we examined 1900 African-Americans from the Atherosclerosis Risk in Communities study using SNVs identified from whole-genome sequencing data. A total of 971 SNVs found in 726 different mature miRNA-encoding sequences and 16,057 SNVs found in the three prime untranslated region (3{\textquoteright}UTR) of 3647 protein-coding genes were identified and interrogated their associations with 17 CVD risk factors. Using single-variant-based approach, we found 5 SNVs in miRNA-encoding sequences to be associated with serum Lipoprotein(a) [Lp(a)], high-density lipoprotein (HDL) or triglycerides, and 2 SNVs in miRNA-target sites to be associated with Lp(a) and HDL, all with false discovery rates of 5\%. Using a gene-based approach, we identified 3 pairs of associations between gene NSD1 and platelet count, gene HSPA4L and cardiac troponin T, and gene AHSA2 and magnesium. We successfully validated the association between a variant specific to African-American population, NR_039880.1:n.18A>C, in mature hsa-miR-4727-5p encoding sequence and serum HDL level in an independent sample of 2135 African-Americans. Our study provided candidate miRNAs and their targets for further investigation of their potential contribution to ethnic disparities in CVD risk factors.</p>},
	keywords = {3{\textquoteright} Untranslated Regions, Adult, Black or African American, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genotyping Techniques, Humans, Male, MicroRNAs, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Whole Genome Sequencing},
	issn = {1432-1203},
	doi = {10.1007/s00439-017-1858-8},
	author = {Li, Chang and Grove, Megan L and Yu, Bing and Jones, Barbara C and Morrison, Alanna and Boerwinkle, Eric and Liu, Xiaoming}
}
