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A globally diverse reference alignment and panel for imputation of mitochondrial DNA variants.

Tim W McInerneyBrian Fulton-HowardChristopher PattersonDevashi PaliwalLars S JermiinHardip R PatelJudy PaRussell H SwerdlowAlison Mary GoateSimon EastealShea J Andrewsnull null
Published in: BMC bioinformatics (2021)
These results show that our reference alignment and panel can be used to impute missing mtSNVs in existing data obtained from using microarrays, thereby broadening the scope of functional and clinical investigation of mtDNA. This improvement may be particularly useful in studies where participants have been recruited over time and mtDNA data obtained using different methods, enabling better integration of early data collected using less accurate methods with more recent sequence data.
Keyphrases
  • mitochondrial dna
  • copy number
  • electronic health record
  • big data
  • gene expression
  • dna methylation
  • high resolution
  • data analysis
  • artificial intelligence
  • genome wide