2024
Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms
Hong Y, Pasca S, Shi W, Puiu D, Lake N, Lek M, Ru M, Grove M, Prizment A, Joshu C, Platz E, Guallar E, Arking D, Gondek L. Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms. Nature Communications 2024, 15: 10133. PMID: 39578475, PMCID: PMC11584845, DOI: 10.1038/s41467-024-54443-3.Peer-Reviewed Original ResearchConceptsClonal hematopoiesis of indeterminate potentialClonal hematopoiesisVariant allele fractionHeteroplasmic variantsIndeterminate potentialMyeloid neoplasmsHeteroplasmyMultiple mutationsAllele fractionMutationsHigh-risk groupPathogenic risk factorsMarkersRisk score modelDeleteriousnessSpliceosomeHematologic malignanciesRisk stratificationNeoplasm developmentNeoplasmsNeoplasm incidenceRisk factorsVariants
2022
Mitochondrial DNA variation across 56,434 individuals in gnomAD
Laricchia KM, Lake NJ, Watts NA, Shand M, Haessly A, Gauthier L, Benjamin D, Banks E, Soto J, Garimella K, Emery J, Consortium G, Rehm HL, MacArthur DG, Tiao G, Lek M, Mootha VK, Calvo SE. Mitochondrial DNA variation across 56,434 individuals in gnomAD. Genome Research 2022, 32: gr.276013.121. PMID: 35074858, PMCID: PMC8896463, DOI: 10.1101/gr.276013.121.Peer-Reviewed Original ResearchConceptsMtDNA variantsMitochondrial DNA variationPathogenic mtDNA variantsWhole genome sequencesUnique mtDNA variantsGenome Aggregation DatabasePopulation allele frequenciesAllele frequenciesMtDNA copy numberMitochondrial genomeNuclear sequencesVariant callsDNA variationIndividuals of EuropeanMtDNA genomeAncestral populationsMtDNA moleculesGenomic databasesHeteroplasmic variantsNuclear DNAHomoplasmic variantsMitochondrial originFalse positive variant callsMtDNA copiesMitochondrial haplogroups