2024
Quantifying constraint in the human mitochondrial genome
Lake N, Ma K, Liu W, Battle S, Laricchia K, Tiao G, Puiu D, Ng K, Cohen J, Compton A, Cowie S, Christodoulou J, Thorburn D, Zhao H, Arking D, Sunyaev S, Lek M. Quantifying constraint in the human mitochondrial genome. Nature 2024, 1-8. PMID: 39415008, DOI: 10.1038/s41586-024-08048-x.Peer-Reviewed Original ResearchMitochondrial genomeDeleterious variationMtDNA mutator modelHuman mitochondrial genomeGenome Aggregation DatabaseMtDNA variationMtDNA variantsMitochondrial DNANoncoding regionsMitochondrial proteinsRRNA geneGenetic variationMtDNAThree-dimensional structureMutation modelPathogenic variationDisease relevanceAggregation DatabaseGenomeLarge-scale population datasetRRNAConstrained sitesGenesTRNAPopulation datasetsSaturation mutagenesis-reinforced functional assays for disease-related genes
Ma K, Huang S, Ng K, Lake N, Joseph S, Xu J, Lek A, Ge L, Woodman K, Koczwara K, Cohen J, Ho V, O'Connor C, Brindley M, Campbell K, Lek M. Saturation mutagenesis-reinforced functional assays for disease-related genes. Cell 2024 PMID: 39326416, DOI: 10.1016/j.cell.2024.08.047.Peer-Reviewed Original ResearchDisease-related genesDisease-causing genetic variantsGenome-wide resolutionMutation scanning methodsSingle-nucleotide variantsDeep mutational scanning methodFunctional assaysDisease genesComputational predictorsSaturation mutagenesisHuman geneticsGenetic variantsGenesVariantsSmurfAssayMutagenesisLARGE1GeneticsDisease severityThe Australian Genomics Mitochondrial Flagship: A National Program Delivering Mitochondrial Diagnoses.
Rius R, Compton A, Baker N, Balasubramaniam S, Best S, Bhattacharya K, Boggs K, Boughtwood T, Braithwaite J, Bratkovic D, Bray A, Brion M, Burke J, Casauria S, Chong B, Coman D, Cowie S, Cowley M, de Silva M, Delatycki M, Edwards S, Ellaway C, Fahey M, Finlay K, Fletcher J, Frajman L, Frazier A, Gayevskiy V, Ghaoui R, Goel H, Goranitis I, Haas M, Hock D, Howting D, Jackson M, Kava M, Kemp M, King-Smith S, Lake N, Lamont P, Lee J, Long J, MacShane M, Madelli E, Martin E, Marum J, Mattiske T, McGill J, Metke A, Murray S, Panetta J, Phillips L, Quinn M, Ryan M, Schenscher S, Simons C, Smith N, Stroud D, Tchan M, Tom M, Wallis M, Ware T, Welch A, Wools C, Wu Y, Christodoulou J, Thorburn D. The Australian Genomics Mitochondrial Flagship: A National Program Delivering Mitochondrial Diagnoses. Genetics In Medicine 2024, 101271. PMID: 39305161, DOI: 10.1016/j.gim.2024.101271.Peer-Reviewed Original ResearchGenome sequencePhenocopy genesMitochondrial diseaseMtDNA sequencesMtDNA deletionsMD geneMtDNAChildhood-onset diseaseDiagnostic journeyDiagnostic yieldMolecular diagnosisGenesNational studySequenceGene etiologySuspected MDDiagnostic pathwayIncrease diagnostic yieldPediatric-onsetOnset diseaseAdult onsetAdult patientsChildrenSkeletal muscleScores
2022
Neuromuscular disorders: finding the missing genetic diagnoses
Koczwara KE, Lake NJ, DeSimone AM, Lek M. Neuromuscular disorders: finding the missing genetic diagnoses. Trends In Genetics 2022, 38: 956-971. PMID: 35908999, DOI: 10.1016/j.tig.2022.07.001.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHigh-throughput functional screeningDiscovery of hundredsGenetic diagnosisNMD genesNext-generation sequencingFunctional screeningSequencing technologiesPathogenic variantsNeuromuscular disordersGroup of diseasesGenesSequencingFuture approachesLarge numberRecent advancementsDiscoveryVariantsYieldMitoVisualize: a resource for analysis of variants in human mitochondrial RNAs and DNA
Lake NJ, Zhou L, Xu J, Lek M. MitoVisualize: a resource for analysis of variants in human mitochondrial RNAs and DNA. Bioinformatics 2022, 38: 2967-2969. PMID: 35561159, DOI: 10.1093/bioinformatics/btac216.Peer-Reviewed Original ResearchConceptsRibosomal RNA secondary structuresHuman mitochondrial RNAMitochondrial transfer RNAsPost-transcriptional modificationsHuman mitochondrial DNADisease-associated variantsRNA secondary structureEffects of variantsMtDNA mapMitochondrial RNAMtDNA variationMitochondrial DNATransfer RNAAnalysis of variantsRNA structureSecondary structureVariant annotationLarge deletionsSupplementary dataVariant interpretationRNADNAVariantsGenesNew toolCenters for Mendelian Genomics: A decade of facilitating gene discovery
Baxter SM, Posey JE, Lake NJ, Sobreira N, Chong JX, Buyske S, Blue EE, Chadwick LH, Coban-Akdemir ZH, Doheny KF, Davis CP, Lek M, Wellington C, Jhangiani SN, Gerstein M, Gibbs RA, Lifton RP, MacArthur DG, Matise TC, Lupski JR, Valle D, Bamshad MJ, Hamosh A, Mane S, Nickerson DA, Consortium C, Adams M, Aguet F, Akay G, Anderson P, Antonescu C, Arachchi H, Atik M, Austin-Tse C, Babb L, Bacus T, Bahrambeigi V, Balasubramanian S, Bayram Y, Beaudet A, Beck C, Belmont J, Below J, Bilguvar K, Boehm C, Boerwinkle E, Boone P, Bowne S, Brand H, Buckingham K, Byrne A, Calame D, Campbell I, Cao X, Carvalho C, Chander V, Chang J, Chao K, Chinn I, Clarke D, Collins R, Cummings B, Dardas Z, Dawood M, Delano K, DiTroia S, Doddapaneni H, Du H, Du R, Duan R, Eldomery M, Eng C, England E, Evangelista E, Everett S, Fatih J, Felsenfeld A, Francioli L, Frazar C, Fu J, Gamarra E, Gambin T, Gan W, Gandhi M, Ganesh V, Garimella K, Gauthier L, Giroux D, Gonzaga-Jauregui C, Goodrich J, Gordon W, Griffith S, Grochowski C, Gu S, Gudmundsson S, Hall S, Hansen A, Harel T, Harmanci A, Herman I, Hetrick K, Hijazi H, Horike-Pyne M, Hsu E, Hu J, Huang Y, Hurless J, Jahl S, Jarvik G, Jiang Y, Johanson E, Jolly A, Karaca E, Khayat M, Knight J, Kolar J, Kumar S, Lalani S, Laricchia K, Larkin K, Leal S, Lemire G, Lewis R, Li H, Ling H, Lipson R, Liu P, Lovgren A, López-Giráldez F, MacMillan M, Mangilog B, Mano S, Marafi D, Marosy B, Marshall J, Martin R, Marvin C, Mawhinney M, McGee S, McGoldrick D, Mehaffey M, Mekonnen B, Meng X, Mitani T, Miyake C, Mohr D, Morris S, Mullen T, Murdock D, Murugan M, Muzny D, Myers B, Neira J, Nguyen K, Nielsen P, Nudelman N, O’Heir E, O’Leary M, Ongaco C, Orange J, Osei-Owusu I, Paine I, Pais L, Paschall J, Patterson K, Pehlivan D, Pelle B, Penney S, Chavez J, Pierce-Hoffman E, Poli C, Punetha J, Radhakrishnan A, Richardson M, Rodrigues E, Roote G, Rosenfeld J, Ryke E, Sabo A, Sanchez A, Schrauwen I, Scott D, Sedlazeck F, Serrano J, Shaw C, Shelford T, Shively K, Singer-Berk M, Smith J, Snow H, Snyder G, Solomonson M, Son R, Song X, Stankiewicz P, Stephan T, Sutton V, Sveden A, Sánchez D, Tackett M, Talkowski M, Threlkeld M, Tiao G, Udler M, Vail L, Valivullah Z, Valkanas E, VanNoy G, Wang Q, Wang G, Wang L, Wangler M, Watts N, Weisburd B, Weiss J, Wheeler M, White J, Williamson C, Wilson M, Wiszniewski W, Withers M, Witmer D, Witzgall L, Wohler E, Wojcik M, Wong I, Wood J, Wu N, Xing J, Yang Y, Yi Q, Yuan B, Zeiger J, Zhang C, Zhang P, Zhang Y, Zhang X, Zhang Y, Zhang S, Zoghbi H, van den Veyver I, Rehm H, O’Donnell-Luria A. Centers for Mendelian Genomics: A decade of facilitating gene discovery. Genetics In Medicine 2022, 24: 784-797. PMID: 35148959, PMCID: PMC9119004, DOI: 10.1016/j.gim.2021.12.005.Peer-Reviewed Original ResearchConceptsGene discoveryMendelian GenomicsUnderstanding of genesGene-phenotype relationshipsGenome variationWorldwide data sharingCandidate genesMendelian phenotypesGenomic researchGenome sequencingMatchmaker ExchangeGenomicsGenesSequencingBiomedical researchMajor roleDiscoveryExomePhenotypeRoleGenotypesCommunity
2019
A patient with homozygous nonsense variants in two Leigh syndrome disease genes: Distinguishing a dual diagnosis from a hypomorphic protein‐truncating variant
Lake N, Formosa L, Stroud D, Ryan M, Calvo S, Mootha V, Morar B, Procopis P, Christodoulou J, Compton A, Thorburn D. A patient with homozygous nonsense variants in two Leigh syndrome disease genes: Distinguishing a dual diagnosis from a hypomorphic protein‐truncating variant. Human Mutation 2019, 40: 893-898. PMID: 30981218, PMCID: PMC6661004, DOI: 10.1002/humu.23753.Peer-Reviewed Original ResearchConceptsProtein-truncating variantsCI assemblyC-terminusLeigh syndromeMutant proteinsKnockout cellsDisease genesUncharacterized variantsHypomorphic effectPathogenic variantsLeigh-like syndromeMitochondrial diseaseWhole-exome sequencingGenomic criteriaFunctional studiesAmino acidsGenesTIMMDC1Homozygous nonsense variantPatient's clinical phenotypeClinical phenotypeExome sequencingNonsense variantMedical GeneticsDual diagnosis
2017
ATAD3 gene cluster deletions cause cerebellar dysfunction associated with altered mitochondrial DNA and cholesterol metabolism
Desai R, Frazier A, Durigon R, Patel H, Jones A, Rosa I, Lake N, Compton A, Mountford H, Tucker E, Mitchell A, Jackson D, Sesay A, Di Re M, van den Heuvel L, Burke D, Francis D, Lunke S, McGillivray G, Mandelstam S, Mochel F, Keren B, Jardel C, Turner A, Andrews P, Smeitink J, Spelbrink J, Heales S, Kohda M, Ohtake A, Murayama K, Okazaki Y, Lombès A, Holt I, Thorburn D, Spinazzola A. ATAD3 gene cluster deletions cause cerebellar dysfunction associated with altered mitochondrial DNA and cholesterol metabolism. Brain 2017, 140: 1595-1610. PMID: 28549128, PMCID: PMC5445257, DOI: 10.1093/brain/awx094.Peer-Reviewed Original ResearchConceptsATAD3A geneHigh-throughput sequencing technologyIntegration of mitochondriaMitochondrial DNA organizationCholesterol homeostasisCellular cholesterol homeostasisSingle nucleotide polymorphism arrayMitochondrial DNA abnormalitiesNiemann-Pick type C diseaseNucleotide polymorphism arrayWhole-exome sequencing dataDNA organizationExome sequencing dataMitochondrial DNACausal genesCholesterol metabolismGenomic analysisGenomic rearrangementsSequencing technologiesHigh homologySequencing dataType C diseaseDrug-induced perturbationsGene cluster deletionsGenes
2015
Leigh syndrome: One disorder, more than 75 monogenic causes
Lake N, Compton A, Rahman S, Thorburn D. Leigh syndrome: One disorder, more than 75 monogenic causes. Annals Of Neurology 2015, 79: 190-203. PMID: 26506407, DOI: 10.1002/ana.24551.Peer-Reviewed Original Research