Dataset Information

Targetome profiling and functional genetics implicate miR-618 in lymphomagenesis.

ABSTRACT: Despite the voluminous body of observational evidence concerning the role of miRNAs in cancer, significant knowledge gaps remain concerning the molecular circumstances that underlie the miRNA-cancer connection. In this study, we employ a multidisciplinary approach to establish an association between miR-618 and non-Hodgkin lymphoma (NHL) in a human population and attempt to explicate this association at the molecular level. A high-throughput, transcriptome-wide RIP-Chip-based method was used to identify members of the miR-618 targetome, which were analyzed for functional relevance using a gene network-based approach. Findings were confirmed by genotyping a SNP (rs2682818) in the stem-loop sequence of miR-618 in a population-based case-control study of NHL (455 cases and 527 controls). Lastly, we analyzed the functional impact of rs2682818 on miR-618 expression and its consequent implications for the lymphomagenic process. A total of 128 miR-618 targets were identified, which were enriched for genes that have functional roles in lymphoma-relevant pathways. This is consistent with our finding of a significant association between rs2682818 G>T in the miR-618 stem-loop and follicular lymphoma (FL) (OR: 1.65, 95% CI: 1.05-2.60). In vitro analysis of rs2682818's functional impact revealed that the variant T allele resulted in reduced levels of mature miR-618, which in turn may lead to deregulation of miR-618-controlled pathways relevant to follicular lymphoma. Taken together, our findings implicate miR-618 in follicular lymphomagenesis, identify miR-618 as a potential risk biomarker for follicular lymphoma, and illuminate miR-618-regulated lymphomagenic pathways that can serve as therapeutic targets for follicular lymphoma.

SUBMITTER: Fu A

PROVIDER: S-EPMC4063832 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Targetome profiling and functional genetics implicate miR-618 in lymphomagenesis.

Fu Alan A Hoffman Aaron E AE Liu Ran R Jacobs Daniel I DI Zheng Tongzhang T Zhu Yong Y

Epigenetics 20140206 5

Despite the voluminous body of observational evidence concerning the role of miRNAs in cancer, significant knowledge gaps remain concerning the molecular circumstances that underlie the miRNA-cancer connection. In this study, we employ a multidisciplinary approach to establish an association between miR-618 and non-Hodgkin lymphoma (NHL) in a human population and attempt to explicate this association at the molecular level. A high-throughput, transcriptome-wide RIP-Chip-based method was used to ...[more]

PMID: 24503492

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Project description:Heart structure and function change with age, and the notion that the heart may age faster for some individuals than for others has driven interest in estimating cardiac age acceleration. However, current approaches have limited feature richness (heart measurements; radiomics) or capture extraneous data and therefore lack cardiac specificity (deep learning [DL] on unmasked chest MRI). These technical limitations have been a barrier to efforts to understand genetic contributions to age acceleration. We hypothesized that a video-based DL model provided with heart-masked MRI data would capture a rich yet cardiac-specific representation of cardiac aging. In 61,691 UK Biobank participants, we excluded noncardiac pixels from cardiac MRI and trained a video-based DL model to predict age from one cardiac cycle in the 4-chamber view. We then computed cardiac age acceleration as the bias-corrected prediction of heart age minus the calendar age. Predicted heart age explained 71.1% of variance in calendar age, with a mean absolute error of 3.3 years. Cardiac age acceleration was linked to unfavorable cardiac geometry and systolic and diastolic dysfunction. We also observed links between cardiac age acceleration and diet, decreased physical activity, increased alcohol and tobacco use, and altered levels of 239 serum proteins, as well as adverse brain MRI characteristics. We found cardiac age acceleration to be heritable (h2g 26.6%); a genome-wide association study identified 8 loci related to linked to cardiomyopathy (near TTN, TNS1, LSM3, PALLD, DSP, PLEC, ANKRD1 and MYO18B) and an additional 16 loci (near MECOM, NPR3, KLHL3, HDGFL1, CDKN1A, ELN, SLC25A37, PI15, AP3M1, HMGA2, ADPRHL1, PGAP3, WNT9B, UHRF1 and DOK5). Of the discovered loci, 21 were not previously associated with cardiac age acceleration. Mendelian randomization revealed that lower genetically mediated levels of 6 circulating proteins (MSRA most strongly), as well as greater levels of 5 proteins (LXN most strongly) were associated with cardiac age acceleration, as were greater blood pressure and Lp(a). A polygenic score for cardiac age acceleration predicted earlier onset of arrhythmia, heart failure, myocardial infarction, and mortality. These findings provide a thematic understanding of cardiac age acceleration and suggest that heart- and vascular-specific factors are key to cardiac age acceleration, predominating over a more global aging program.

Dataset Information

Targetome profiling and functional genetics implicate miR-618 in lymphomagenesis.

Publications

Targetome profiling and functional genetics implicate miR-618 in lymphomagenesis.

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