2024
Resolving the 22q11.2 deletion using CTLR-Seq reveals chromosomal rearrangement mechanisms and individual variance in breakpoints
Zhou B, Purmann C, Guo H, Shin G, Huang Y, Pattni R, Meng Q, Greer S, Roychowdhury T, Wood R, Ho M, Dohna H, Abyzov A, Hallmayer J, Wong W, Ji H, Urban A. Resolving the 22q11.2 deletion using CTLR-Seq reveals chromosomal rearrangement mechanisms and individual variance in breakpoints. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2322834121. PMID: 39042694, PMCID: PMC11295037, DOI: 10.1073/pnas.2322834121.Peer-Reviewed Original ResearchMeSH KeywordsChromosome BreakpointsChromosome DeletionChromosomes, Human, Pair 22CRISPR-Cas SystemsDiGeorge SyndromeGene RearrangementGenome, HumanHumansSequence Analysis, DNAConceptsLong-read sequencingPulse-field gel electrophoresisBase-pair resolutionDNA methylation patternsCell-type specific analysisCell type-specificChromosomal interactionsSequence assemblySegmental duplicationsGenome sequenceGenomic rearrangementsGenomic regionsChromosomal breakpointsHuman genomeGenomic recombinationMethylation patternsSequence analysisHaplotype-specificDeletion haplotypesGel electrophoresisGenomeAmplification-freeBreakpoint locationsMicrodeletion disorderType-specific
2021
CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing
Suvakov M, Panda A, Diesh C, Holmes I, Abyzov A. CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing. GigaScience 2021, 10: giab074. PMID: 34817058, PMCID: PMC8612020, DOI: 10.1093/gigascience/giab074.Peer-Reviewed Original ResearchMeSH KeywordsAllelesDNA Copy Number VariationsGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareWhole Genome Sequencing
2020
SCELLECTOR: ranking amplification bias in single cells using shallow sequencing
Sarangi V, Jourdon A, Bae T, Panda A, Vaccarino F, Abyzov A. SCELLECTOR: ranking amplification bias in single cells using shallow sequencing. BMC Bioinformatics 2020, 21: 521. PMID: 33183232, PMCID: PMC7663899, DOI: 10.1186/s12859-020-03858-y.Peer-Reviewed Original ResearchConceptsMultiple displacement amplificationShallow sequencingSingle-cell platformsSingle-cell sequencingCoverage sequencing dataSingle cellsHuman neuronal cellsMosaic mutationsAmount of DNAAmplification qualityCell sequencingCoverage sequencingHigh-coverage dataSequencing dataHaplotype informationPhi29 polymeraseDNA damageIndividual cellsNeuronal cellsSequencingAmplification biasAllelic imbalancePresence of sitesMutationsFragment lengthComplex mosaic structural variations in human fetal brains
Sekar S, Tomasini L, Proukakis C, Bae T, Manlove L, Jang Y, Scuderi S, Zhou B, Kalyva M, Amiri A, Mariani J, Sedlazeck F, Urban AE, Vaccarino F, Abyzov A. Complex mosaic structural variations in human fetal brains. Genome Research 2020, 30: gr.262667.120. PMID: 33122304, PMCID: PMC7706730, DOI: 10.1101/gr.262667.120.Peer-Reviewed Original ResearchMeSH KeywordsBrainClonal EvolutionDNA, CircularFemaleGenomic Structural VariationGenotyping TechniquesGestational AgeHumansMosaicismNeurogenesisPregnancySequence Analysis, DNAConceptsSingle nucleotide variantsCopy number variantsStructural variantsMegabase-scale copy number variantsHuman fetal brainFunctional consequencesMobile element insertionsSimilar functional consequencesFetal brainMosaic single-nucleotide variantsAdult brain neuronsStructural variationsPotential functional consequencesKilobase scaleDNA eventsGenomic fragmentDifferent chromosomesElement insertionsClonal approachHuman brain cellsFetal human brainNucleotide variantsReplication errorsHuman brainNumber variantsLongAGE: defining breakpoints of genomic structural variants through optimal and memory efficient alignments of long reads
Tran Q, Abyzov A. LongAGE: defining breakpoints of genomic structural variants through optimal and memory efficient alignments of long reads. Bioinformatics 2020, 37: 1015-1017. PMID: 32777815, PMCID: PMC8128450, DOI: 10.1093/bioinformatics/btaa703.Peer-Reviewed Original Research
2019
Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2
Zhou B, Ho S, Greer S, Spies N, Bell J, Zhang X, Zhu X, Arthur J, Byeon S, Pattni R, Saha I, Huang Y, Song G, Perrin D, Wong W, Ji H, Abyzov A, Urban A. Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2. Nucleic Acids Research 2019, 47: 3846-3861. PMID: 30864654, PMCID: PMC6486628, DOI: 10.1093/nar/gkz169.Peer-Reviewed Original ResearchConceptsGenome sequenceStructural variantsGenomic structural featuresSomatic genomic rearrangementsFunctional genomics dataAllele-specific expressionEntire chromosome armsIntegrated genome analysisCRISPR/Cas9Cell linesMain cell linesGenome structureEpigenomic characteristicsChromosome armsGenome analysisDNA methylationGenome characteristicsRetrotransposon insertionChromosomal segmentsGenomic rearrangementsGenomic dataRegulatory complexityCell line HepG2Copy numberLoss of heterozygosity
2017
Landscape and variation of novel retroduplications in 26 human populations
Zhang Y, Li S, Abyzov A, Gerstein MB. Landscape and variation of novel retroduplications in 26 human populations. PLOS Computational Biology 2017, 13: e1005567. PMID: 28662076, PMCID: PMC5510864, DOI: 10.1371/journal.pcbi.1005567.Peer-Reviewed Original ResearchConceptsParent genesSequencing dataHigh-coverage exomesLow-coverage whole-genome sequencing dataHuman populationWhole-genome sequencing dataExon-exon junctionsGenomes Phase 3Young L1 elementsPaired-end readsPotential disease associationsRetrotranspositional activityGenomic elementsNucleosome positioningPhylogenetic treeRetroduplicationExome sequencing dataReference genomeGenomic featuresInsertion eventsL1 elementsComprehensive discoveryPopulation markersSNP callingFunctional regions
2016
Elevated variant density around SV breakpoints in germline lineage lends support to error-prone replication hypothesis
Dhokarh D, Abyzov A. Elevated variant density around SV breakpoints in germline lineage lends support to error-prone replication hypothesis. Genome Research 2016, 26: 874-881. PMID: 27216746, PMCID: PMC4937565, DOI: 10.1101/gr.205484.116.Peer-Reviewed Original ResearchConceptsSNPs/indelsComplex genomic rearrangementsHundreds of lociComplex human traitsAllele frequency spectrumReplication-based mechanismsBreakpoints of deletionsGermline lineageParental genomesSV breakpointsGenomic rearrangementsGenome ProjectMutational mechanismsDeletion eventsGenomic disordersHeterozygous SNPsStructural variantsVariant densityHuman traitsIndelsNumber variantsFold changeGermline deletionCNV formationDeletion
2015
An integrated map of structural variation in 2,504 human genomes
Sudmant PH, Rausch T, Gardner EJ, Handsaker RE, Abyzov A, Huddleston J, Zhang Y, Ye K, Jun G, Hsi-Yang Fritz M, Konkel MK, Malhotra A, Stütz AM, Shi X, Paolo Casale F, Chen J, Hormozdiari F, Dayama G, Chen K, Malig M, Chaisson MJP, Walter K, Meiers S, Kashin S, Garrison E, Auton A, Lam HYK, Jasmine Mu X, Alkan C, Antaki D, Bae T, Cerveira E, Chines P, Chong Z, Clarke L, Dal E, Ding L, Emery S, Fan X, Gujral M, Kahveci F, Kidd JM, Kong Y, Lameijer EW, McCarthy S, Flicek P, Gibbs RA, Marth G, Mason CE, Menelaou A, Muzny DM, Nelson BJ, Noor A, Parrish NF, Pendleton M, Quitadamo A, Raeder B, Schadt EE, Romanovitch M, Schlattl A, Sebra R, Shabalin AA, Untergasser A, Walker JA, Wang M, Yu F, Zhang C, Zhang J, Zheng-Bradley X, Zhou W, Zichner T, Sebat J, Batzer MA, McCarroll SA, Mills R, Gerstein M, Bashir A, Stegle O, Devine S, Lee C, Eichler E, Korbel J. An integrated map of structural variation in 2,504 human genomes. Nature 2015, 526: 75-81. PMID: 26432246, PMCID: PMC4617611, DOI: 10.1038/nature15394.Peer-Reviewed Original ResearchMeSH KeywordsAmino Acid SequenceGenetic Predisposition to DiseaseGenetic VariationGenetics, MedicalGenetics, PopulationGenome, HumanGenome-Wide Association StudyGenomicsGenotypeHaplotypesHomozygoteHumansMolecular Sequence DataMutation RatePhysical Chromosome MappingPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNASequence DeletionConceptsStructural variantsHuman genomeExpression quantitative trait lociGenome-wide association studiesIndividual mutational eventsQuantitative trait lociComplex structural variantsHomozygous gene knockoutsDNA sequencing dataLoci subjectTrait lociHuman genesGene knockoutIntegrated mapSequencing dataAssociation studiesMutational eventsHaplotype blocksVariant classesFunctional impactPopulation stratificationGenomeNumerous diseasesHuman populationStructural variations
2013
Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division
Abyzov A, Iskow R, Gokcumen O, Radke DW, Balasubramanian S, Pei B, Habegger L, Consortium T, Lee C, Gerstein M. Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division. Genome Research 2013, 23: 2042-2052. PMID: 24026178, PMCID: PMC3847774, DOI: 10.1101/gr.154625.113.Peer-Reviewed Original ResearchConceptsCell divisionCorrect phylogenetic treeGenomes Project ConsortiumHuman populationTranscription of mRNARetroduplicationPhylogenetic treeParent genesGenomic integrationCell cycleG1 transitionMore copiesGenesRetrotranspositionHuman subpopulationsMultiple linesRetrogenesPseudogenesTranscriptionDivisionRNAVariantsProteinMRNACopiesChild Development and Structural Variation in the Human Genome
Zhang Y, Haraksingh R, Grubert F, Abyzov A, Gerstein M, Weissman S, Urban AE. Child Development and Structural Variation in the Human Genome. Child Development 2013, 84: 34-48. PMID: 23311762, DOI: 10.1111/cdev.12051.Peer-Reviewed Original Research
2011
CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing
Abyzov A, Urban AE, Snyder M, Gerstein M. CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Research 2011, 21: 974-984. PMID: 21324876, PMCID: PMC3106330, DOI: 10.1101/gr.114876.110.Peer-Reviewed Original ResearchMapping copy number variation by population-scale genome sequencing
Mills RE, Walter K, Stewart C, Handsaker RE, Chen K, Alkan C, Abyzov A, Yoon SC, Ye K, Cheetham RK, Chinwalla A, Conrad DF, Fu Y, Grubert F, Hajirasouliha I, Hormozdiari F, Iakoucheva LM, Iqbal Z, Kang S, Kidd JM, Konkel MK, Korn J, Khurana E, Kural D, Lam HY, Leng J, Li R, Li Y, Lin CY, Luo R, Mu XJ, Nemesh J, Peckham HE, Rausch T, Scally A, Shi X, Stromberg MP, Stütz AM, Urban AE, Walker JA, Wu J, Zhang Y, Zhang ZD, Batzer MA, Ding L, Marth GT, McVean G, Sebat J, Snyder M, Wang J, Ye K, Eichler EE, Gerstein MB, Hurles ME, Lee C, McCarroll SA, Korbel JO. Mapping copy number variation by population-scale genome sequencing. Nature 2011, 470: 59-65. PMID: 21293372, PMCID: PMC3077050, DOI: 10.1038/nature09708.Peer-Reviewed Original ResearchConceptsMost structural variantsStructural variantsSequencing-based association studiesUnbalanced structural variantsGenomic structural variantsFunctional impactDNA sequencing dataSV hotspotsSV discoveryHuman genomeNucleotide resolutionGene disruptionAdditional structural variantsHigh-frequency deletionSequencing dataGenome sequencingAssociation studiesTandem duplicationNumber variationsGene deletionPartial gene deletionsDeletionCommon mechanismForm of variationSize spectra
2007
Structure SNP (StSNP): a web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways
Uzun A, Leslin C, Abyzov A, Ilyin V. Structure SNP (StSNP): a web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways. Nucleic Acids Research 2007, 35: w384-w392. PMID: 17537826, PMCID: PMC1933130, DOI: 10.1093/nar/gkm232.Peer-Reviewed Original ResearchConceptsMetabolic pathwaysSNP databasePathway informationProtein structureMulti-protein complexesOpen reading frameAmino acid sequenceMetabolic pathway informationDisease-related pathwaysNCBI SNP databaseProtein databaseReading frameMolecular basisAcid sequencePathway relationsNsSNPsFunctional consequencesComparative modelingProteinEdu/PathwayGenesWeb serverSNPsStructure data