RNAAgeCalc: A Multi-Tissue Transcriptional Age Calculator

Details

• Personal Author:
  Kuan PF ; Ren X
• Description:
  Biological aging reflects decline in physiological functions and is an effective indicator of morbidity and mortality. Numerous epigenetic age calculators are available, however biological aging calculators based on transcription remain scarce. Here, we introduce RNAAgeCalc, a versatile across-tissue and tissue-specific transcriptional age calculator. By performing a meta-analysis of transcriptional age signature across multi-tissues using the GTEx database, we identify 1,616 common age-related genes, as well as tissue-specific age-related genes. Based on these genes, we develop new across-tissue and tissue-specific age predictors. We show that our transcriptional age calculator outperforms other prior age related gene signatures as indicated by the higher correlation with chronological age as well as lower median and median error. Our results also indicate that both racial and tissue differences are associated with transcriptional age. Furthermore, we demonstrate that the transcriptional age acceleration computed from our within-tissue predictor is significantly correlated with mutation burden, mortality risk and cancer stage in several types of cancer from the TCGA database, and offers complementary information to DNA methylation age. [Description provided by NIOSH]
• Subjects:
  Aging Database Genetics Men Morbidity Mortality Neoplasms Occupational Health Race Factors Safety Software Women

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• Keywords:
  Biological Factors Biological Function Cancer Computer Software Databases Deoxyribonucleic Acids DNA Genes Genetic Factors Humans Models Morbidity Rates Mortality Rates Mutation Physiological Function Racial Factors Tissue Culture

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• ISSN:
  1932-6203
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  New York ; OSHA Region 2
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  15
• Issue:
  8
• NIOSHTIC Number:
  nn:20061283
• Citation:
  PLoS One 2020 Aug; 15(8):e0237006
• Email:
  peifen.kuan@stonybrook.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  State University of New York at Stony Brook
• Peer Reviewed:
  True
• Start Date:
  20170701
• Source Full Name:
  PLoS One
• End Date:
  20200630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:65ae4a24d4c3235c8057f5873fe2530cddea431816a3fb62059bf6016aa6bd24530459e3589bf2099cbbd9a93109a0443856f8e0fc44ea1f5e1cc172a497bb62
• Download URL:
  https://stacks.cdc.gov/view/cdc/224857/cdc_224857_DS1.pdf
• File Type:
  [PDF - 1.73 MB ]