Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences
Ganel L, Chen L, Christ R, Vangipurapu J, Young E, Das I, Kanchi K, Larson D, Regier A, Abel H, Kang CJ, Scott A, Havulinna A, Chiang CWK, Service S, Freimer N, Palotie A, Ripatti S, Kuusisto J, Boehnke M, Laakso M, Locke A, Stitziel NO, Hall IM. Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences. Human Genomics 2021, 15: 34. PMID: 34099068, PMCID: PMC8185936, DOI: 10.1186/s40246-021-00335-2.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedApoptosis Regulatory ProteinsCell LineageDNA Copy Number VariationsDNA, MitochondrialExome SequencingFemaleGenetic Predisposition to DiseaseGenome, MitochondrialGenome-Wide Association StudyGTP-Binding ProteinsHumansMaleMembrane ProteinsMendelian Randomization AnalysisMiddle AgedPhenotypePolymorphism, Single NucleotideProto-Oncogene Proteins c-mybSequence Analysis, DNAConceptsCell type compositionGenome copy numberBlood-derived DNAMitochondrial genome copy numberCombination of genomesCopy numberBulk DNA sequencingDNA sequencingPolygenic risk scoresNumber of mitochondriaExome sequencing dataRelated traitsSequencing dataMetabolic traitsTraitsCommon variantsLociRare variantsSequencingDNAFinnish individualsMendelian randomization frameworkUK BiobankMetS traitsGenomeCharacterizing complex structural variation in germline and somatic genomes
Quinlan AR, Hall IM. Characterizing complex structural variation in germline and somatic genomes. Trends In Genetics 2011, 28: 43-53. PMID: 22094265, PMCID: PMC3249479, DOI: 10.1016/j.tig.2011.10.002.Peer-Reviewed Original ResearchConceptsComplex structural variationsStructural variationsNext-generation DNA sequencingHallmarks of cancerSomatic genomeGenetic diversityMultiple chromosomesSingle locusDistinct lociRecombination eventsComplex variantsSingle mutationMapping experimentsDNA sequencingComplicated rearrangementsMammalsCurrent knowledgeMapping studiesLociSubtle alterationsVariantsGenomeSurprising numberChromosomesGermlineGenome Sequencing of Mouse Induced Pluripotent Stem Cells Reveals Retroelement Stability and Infrequent DNA Rearrangement during Reprogramming
Quinlan AR, Boland MJ, Leibowitz ML, Shumilina S, Pehrson SM, Baldwin KK, Hall IM. Genome Sequencing of Mouse Induced Pluripotent Stem Cells Reveals Retroelement Stability and Infrequent DNA Rearrangement during Reprogramming. Cell Stem Cell 2011, 9: 366-373. PMID: 21982236, PMCID: PMC3975295, DOI: 10.1016/j.stem.2011.07.018.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBase SequenceCell LineageCellular ReprogrammingChimeraDNA Copy Number VariationsFalse Negative ReactionsGene RearrangementGene SilencingGenomeGenomic InstabilityHumansInduced Pluripotent Stem CellsMiceMolecular Sequence DataMutagenesis, InsertionalOrgan SpecificityRetroelementsSequence Analysis, DNAConceptsPluripotent stem cellsClasses of SVsPaired-end DNA sequencingStem cellsGenomic structural variationMouse Induced Pluripotent Stem CellsStructural variationsDNA copy number variationsEmbryonic stem cellsMost iPSC linesMouse iPSC linesIPSC linesInduced pluripotent stem cellsCopy number variationsGenome stabilityGene-disrupting mutationsRecent microarray studiesDNA rearrangementsGenome sequencingSpontaneous mutationsMicroarray studiesDeleterious genetic mutationsNumber variationsDNA sequencingComplex rearrangements