Featured Publications
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 traitsGenomeGenomic Analysis in the Age of Human Genome Sequencing
Lappalainen T, Scott AJ, Brandt M, Hall IM. Genomic Analysis in the Age of Human Genome Sequencing. Cell 2019, 177: 70-84. PMID: 30901550, PMCID: PMC6532068, DOI: 10.1016/j.cell.2019.02.032.Peer-Reviewed Original ResearchMeSH KeywordsBiological Specimen BanksChromosome MappingGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenome, HumanGenome-Wide Association StudyGenomicsHigh-Throughput Nucleotide SequencingHuman Genome ProjectHumansPolymorphism, Single NucleotideSequence Analysis, DNAWhole Genome SequencingConceptsFunctional genomics approachAllele frequency spectrumHuman genome sequencingGene mapping studiesGenome sequencing technologiesRare human diseasesWhole-genome sequencingGenomic approachesGenetic variant discoveryGenome variationHuman genomeGenome analysisGenomic analysisSequencing technologiesGenome sequencingVariant discoveryHuman diseasesHuman geneticsGenomeFunctional interpretationMapping studiesFunctional effectsSequencingGermline variantsGeneticsThe impact of structural variation on human gene expression
Chiang C, Scott AJ, Davis JR, Tsang EK, Li X, Kim Y, Hadzic T, Damani FN, Ganel L, Montgomery S, Battle A, Conrad D, Hall I. The impact of structural variation on human gene expression. Nature Genetics 2017, 49: 692-699. PMID: 28369037, PMCID: PMC5406250, DOI: 10.1038/ng.3834.Peer-Reviewed Original Research
2022
Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk
Yin X, Bose D, Kwon A, Hanks S, Jackson A, Stringham H, Welch R, Oravilahti A, Silva L, FinnGen, Locke A, Fuchsberger C, Service S, Erdos M, Bonnycastle L, Kuusisto J, Stitziel N, Hall I, Morrison J, Ripatti S, Palotie A, Freimer N, Collins F, Mohlke K, Scott L, Fauman E, Burant C, Boehnke M, Laakso M, Wen X. Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk. American Journal Of Human Genetics 2022, 109: 1727-1741. PMID: 36055244, PMCID: PMC9606383, DOI: 10.1016/j.ajhg.2022.08.007.Peer-Reviewed Original ResearchMeSH KeywordsBilirubinCarnitineGenome-Wide Association StudyGlycerophospholipidsHumansMaleMetabolomicsQuantitative Trait LociSolute Carrier Family 22 Member 5TranscriptomeConceptsGenome-wide association studiesMolecular mechanismsGWAS resultsDisease traitsGene expressionMetabolic pathwaysTranscriptome-wide associationSame causal variantsMetabolomics resultsTranscriptomic resultsMolecular traitsTranscriptomic dataGTEx projectCausal variantsGlycerophospholipid metabolic pathwayTranscriptomicsAssociation studiesColocalization analysisMetabolite levelsDistinct pathwaysPutative causal effectGenetic variantsGenesUGT1A4 expressionGenetic association