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Sun X, Bulekova K, Yang J, Lai M, Pitsillides AN, Liu X, Zhang Y, Guo X, Yong Q, Raffield LM, Rotter JI, Rich SS, Abecasis G, Carson AP, Vasan RS, Bis JC, Psaty BM, Boerwinkle E, Fitzpatrick AL, Satizabal CL, Arking DE, Ding J, Levy D, Liu C. Association analysis of mitochondrial DNA heteroplasmic variants: methods and application. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.12.24301233. [PMID: 38260412 PMCID: PMC10802757 DOI: 10.1101/2024.01.12.24301233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
We rigorously assessed a comprehensive association testing framework for heteroplasmy, employing both simulated and real-world data. This framework employed a variant allele fraction (VAF) threshold and harnessed multiple gene-based tests for robust identification and association testing of heteroplasmy. Our simulation studies demonstrated that gene-based tests maintained an appropriate type I error rate at α=0.001. Notably, when 5% or more heteroplasmic variants within a target region were linked to an outcome, burden-extension tests (including the adaptive burden test, variable threshold burden test, and z-score weighting burden test) outperformed the sequence kernel association test (SKAT) and the original burden test. Applying this framework, we conducted association analyses on whole-blood derived heteroplasmy in 17,507 individuals of African and European ancestries (31% of African Ancestry, mean age of 62, with 58% women) with whole genome sequencing data. We performed both cohort- and ancestry-specific association analyses, followed by meta-analysis on both pooled samples and within each ancestry group. Our results suggest that mtDNA-encoded genes/regions are likely to exhibit varying rates in somatic aging, with the notably strong associations observed between heteroplasmy in the RNR1 and RNR2 genes (p<0.001) and advance aging by the Original Burden test. In contrast, SKAT identified significant associations (p<0.001) between diabetes and the aggregated effects of heteroplasmy in several protein-coding genes. Further research is warranted to validate these findings. In summary, our proposed statistical framework represents a valuable tool for facilitating association testing of heteroplasmy with disease traits in large human populations.
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Affiliation(s)
- Xianbang Sun
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Katia Bulekova
- Research Computing Services, Boston University, Boston, MA 02215, USA
| | - Jian Yang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Meng Lai
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | | | - Xue Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Yuankai Zhang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Qian Yong
- Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD 21224, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Stephen S. Rich
- Department of Public Health Services, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Goncalo Abecasis
- TOPMed Informatics Research Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Ramachandran S. Vasan
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Departments of Epidemiology, and Health Services, University of Washington, Seattle, WA 98101, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global Health, University of Washington, Seattle, WA 98195, USA
| | - Claudia L. Satizabal
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Dan E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, MD 21205, USA
| | - Jun Ding
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Daniel Levy
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
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Decoux-Poullot AG, Bannwarth S, Procaccio V, Lebre AS, Jardel C, Vialettes B, Paquis-Flucklinger V, Chevalier N. Clinical phenotype of mitochondrial diabetes due to rare mitochondrial DNA mutations. ANNALES D'ENDOCRINOLOGIE 2020; 81:68-77. [PMID: 32409007 DOI: 10.1016/j.ando.2020.04.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 04/08/2020] [Accepted: 04/08/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE While the most frequent mutation responsible for mitochondrial diabetes is the point mutation m.3243 A>G of mitochondrial DNA (mtDNA), few data are available about the role of rare mtDNA mutations in the pathophysiology of diabetes. The main objective of our study was to describe the phenotypic characteristics of patients suffering from diabetes linked to rare mtDNA mutations. RESEARCH DESIGN AND METHODS We performed a post-hoc analysis of a prospective multicenter cohort of 743 patients with mitochondrial disorder (previously published by the French Network of Mitochondrial Diseases), associated to a literature review of the PubMed database from 1992 to May 2016. We extracted all reported patients with diabetes and identified rare mtDNA mutations and described their clinical and metabolic phenotypes. RESULTS The 50 identified patients (10 from the princeps study; 40 from the review of the literature) showed a heterogeneous metabolic phenotype in terms of age, symptoms prior to diagnosis, treatments, and associated clinical and biological signs. However, neurological symptoms were more frequent in case of rare mtDNA mutations compared to the classical m.3243 A>G mutation (P=0.024). In contrast, deafness (65% vs. 95%, P=3.7E-5), macular pattern dystrophy (20% vs. 86%, P=1.6E-10) and nephropathy (8% vs. 28%, P=0.018) were significantly less frequent than in case of the classical m.3243 A>G mutation. CONCLUSION Although no specific metabolic phenotype could be identified suggesting or eliminating implication of rare mtDNA mutations in diabetes, clinical phenotypes featured more frequent neurological signs.
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Affiliation(s)
- Anne-Gaëlle Decoux-Poullot
- Service d'endocrinologie, diabétologie et médecine de la reproduction, hôpital de l'Archet 2, université Côte d'Azur, CHU de Nice, Nice, France
| | - Sylvie Bannwarth
- Inserm, CNRS, IRCAN, Université Côte d'Azur, CHU de Nice, Nice, France
| | | | - Anne-Sophie Lebre
- Inserm U781, Service de génétique, Hôpital Necker-Enfants-Malades, Université Paris-Descartes, Paris, France
| | - Claude Jardel
- Biochimie métabolique, Centre de génétique moléculaire et chromosomique, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Bernard Vialettes
- Service d'endocrinologie, diabète, maladies métaboliques, Hôpital de la Conception, CHU de Marseille, 13385 Marseille Cedex 5, France
| | | | - Nicolas Chevalier
- Service d'endocrinologie, diabétologie et médecine de la reproduction, hôpital de l'Archet 2, université Côte d'Azur, CHU de Nice, Nice, France; Institut national de la santé et de la recherche médicale (Inserm), UMR U1065/UNS, Centre méditerranéen de médecine moléculaire (C3M), équipe 5 « Cellular Basis and Signaling of Tumor Metabolism », Université Côte d'Azur, CHU de Nice, Nice, France.
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Ryzhkova AI, Sazonova MA, Sinyov VV, Galitsyna EV, Chicheva MM, Melnichenko AA, Grechko AV, Postnov AY, Orekhov AN, Shkurat TP. Mitochondrial diseases caused by mtDNA mutations: a mini-review. Ther Clin Risk Manag 2018; 14:1933-1942. [PMID: 30349272 PMCID: PMC6186303 DOI: 10.2147/tcrm.s154863] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
There are several types of mitochondrial cytopathies, which cause a set of disorders, arise as a result of mitochondria’s failure. Mitochondria’s functional disruption leads to development of physical, growing and cognitive disabilities and includes multiple organ pathologies, essentially disturbing the nervous and muscular systems. The origins of mitochondrial cytopathies are mutations in genes of nuclear DNA encoding mitochondrial proteins or in mitochondrial DNA. Nowadays, numerous mtDNA mutations significant to the appearance and progress of pathologies in humans are detected. In this mini-review, we accent on the mitochondrial cytopathies related to mutations of mtDNA. As well known, there are definite set of symptoms of mitochondrial cytopathies distinguishing or similar for different syndromes. The present article contains data about mutations linked with cytopathies that facilitate diagnosis of different syndromes by using genetic analysis methods. In addition, for every individual, more effective therapeutic approach could be developed after wide-range mutant background analysis of mitochondrial genome.
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Affiliation(s)
- Anastasia I Ryzhkova
- Laboratory of Medical Genetics, National Medical Research Center of Cardiology, Moscow, Russian Federation, .,Department of Virology, K.I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology-MVA, Moscow, Russian Federation,
| | - Margarita A Sazonova
- Laboratory of Medical Genetics, National Medical Research Center of Cardiology, Moscow, Russian Federation, .,Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Moscow, Russian Federation
| | - Vasily V Sinyov
- Laboratory of Medical Genetics, National Medical Research Center of Cardiology, Moscow, Russian Federation,
| | - Elena V Galitsyna
- Department of Genetics, Southern Federal University, Rostov-on-Don, Russian Federation
| | - Mariya M Chicheva
- Department of Genetics, Southern Federal University, Rostov-on-Don, Russian Federation
| | | | - Andrey V Grechko
- Federal Research and Clinical Center of Reanimatology and Rehabilitology, Moscow, Russian Federation
| | - Anton Yu Postnov
- Laboratory of Medical Genetics, National Medical Research Center of Cardiology, Moscow, Russian Federation,
| | - Alexander N Orekhov
- Laboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Moscow, Russian Federation.,Institute for Atherosclerosis Research, Skolkovo Innovative Centre, Moscow Region, Russian Federation
| | - Tatiana P Shkurat
- Department of Genetics, Southern Federal University, Rostov-on-Don, Russian Federation
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Maternally Inherited Diabetes and Deafness is Phenotypically and Genotypically Heterogeneous. J Neuroophthalmol 2016; 36:346-7. [DOI: 10.1097/wno.0000000000000387] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Mutational screening in patients with profound sensorineural hearing loss and neurodevelopmental delay: Description of a novel m.3861A > C mitochondrial mutation in the MT-ND1 gene. Biochem Biophys Res Commun 2016; 474:702-708. [PMID: 27155156 DOI: 10.1016/j.bbrc.2016.05.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 05/03/2016] [Indexed: 11/22/2022]
Abstract
Mitochondrial diseases caused by mitochondrial dysfunction are a clinically and genetically, heterogeneous group of disorders involving multiple organs, particularly tissues with high-energy demand. Hearing loss is a recognized symptom of a number of mitochondrial diseases and can result from neuronal or cochlear dysfunction. The tissue affected in this pathology is most probably the cochlear hair cells, which are essential for hearing function since they are responsible for maintaining the ionic gradients necessary for sound signal transduction. Several mitochondrial DNA mutations have been associated with hearing loss and since mitochondria are crucial for the cellular energy supply in many tissues, most of these mtDNA mutations affect several tissues and will cause syndromic hearing loss. In the present study, we described 2 patients with sensorineural hearing loss and neurodevelopmental delay in whom we tested mitochondrial genes described to be associated with syndromic hearing loss. One of these patients showed a novel heteroplasmic mitochondrial mutation m.3861A > C (W185C) which lead to a loss of stability of the ND1 protein since it created a new hydrogen bund between the unique created cystein C185 and the A182 residue. In the second patient, we detected two novel heteroplasmic variations m.12350C > A (T5N) and m.14351T > C (E108G) respectively in the MT-ND5 and the MT-ND6 genes. The TopPred II prediction for the E108G variation revealed a decrease of the hydrophobicity in the mutated MT-ND6.
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Yano T, Nishio SY, Usami SI. Frequency of mitochondrial mutations in non-syndromic hearing loss as well as possibly responsible variants found by whole mitochondrial genome screening. J Hum Genet 2014; 59:100-6. [PMID: 24401907 PMCID: PMC3970901 DOI: 10.1038/jhg.2013.128] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Revised: 10/19/2013] [Accepted: 11/08/2013] [Indexed: 11/09/2022]
Abstract
Mutations in mitochondrial DNA (mtDNA) are reported to be responsible for the pathogenesis of maternally inherited hearing loss. Complete mtDNA sequencing may detect pathogenic mutations, but whether they are indeed pathogenic can be difficult to interpret because of normal ethnic-associated haplogroup variation and other rare variations existing among control populations. In this study, we performed systemic mutational analysis of mtDNA in 394 Japanese patients with hearing loss. Two different cohorts were analyzed in this study: Cohort 1, 254 maternally inherited patients; and Cohort 2, 140 patients with various inheritance modes. After screening of the entire mtDNA genome with direct sequencing, we evaluated the frequency of previously reported mutations and the frequency and pathogenicity of the novel variants. As a result, the 'Confirmed' mitochondrial mutations were found predominantly in Cohort 1 rather than in Cohort 2 (14.6 vs 0.7%). 1555A>G (n=23) is the most common mutation, followed by the 3243A>G (n=11) mutations. On the basis of prediction analysis, we detected 10 novel homoplasmic mitochondrial variants. After further classification, the 3595A>G and 6204A>G variants were found to be new candidate mutations possibly associated with hearing loss.
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Shaik NA, Lone WG, Khan IA, Vaidya S, Rao KP, Kodati VL, Hasan Q. Detection of somatic mutations and germline polymorphisms in mitochondrial DNA of uterine fibroids patients. Genet Test Mol Biomarkers 2011; 15:537-41. [PMID: 21453057 DOI: 10.1089/gtmb.2010.0255] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
To identify the role of mitochondrial DNA (mtDNA) mutations in uterine fibroids patients, genomic DNA isolated from paired myometrium and fibroid tissues was screened for mutations. The present study represents the first investigation to report that 10.4% of uterine fibroids cases had either mtDNA mutations or polymorphisms or both. Among the 14 mitochondrial sequence variants identified, seven are somatic mutations (A3327C, G3352A, G3376A, G3380A, G3421A, T15312G, and C15493G) and the remaining (G3316A, C3342A, C3442T, T10205A, A10188G, A10229C, and A10301T) are gene polymorphisms. Somatic mutations were both homo- and heteroplasmic in nature. Of the seven somatic mutations located in the MTND1 and MTCYB genes, five (71.42%) are nonsynonymous in nature, whereas four (57.14%) of the polymorphisms located in MTND1 and MTND3 genes are found to be nonsynonymous. Sequence variants such as G3380A, G3421A, T15312G, G3376A, and G3316A have been earlier described in different human pathologies, but the remaining are novel ones. Mitochondrial somatic mutations and polymorphisms may predispose women to an earlier onset of degenerative cellular processes, which impair oxidative phosphorylation capacity and thereby promote tumorigenesis in uterine smooth muscle cells. Detection of mtDNA sequence variations in fibroid patients raises the need for larger case-control studies to screen the whole mitochondrial genome and evaluate as a future diagnostic biomarker in fibroid patients.
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Affiliation(s)
- Noor Ahmad Shaik
- Department of Genetics and Molecular Medicine, Vasavi Medical and Research Centre, Hyderabad, India
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Bandelt HJ, Yao YG, Bravi CM, Salas A, Kivisild T. Median network analysis of defectively sequenced entire mitochondrial genomes from early and contemporary disease studies. J Hum Genet 2009; 54:174-81. [PMID: 19322152 DOI: 10.1038/jhg.2009.9] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Sequence analysis of the mitochondrial genome has become a routine method in the study of mitochondrial diseases. Quite often, the sequencing efforts in the search of pathogenic or disease-associated mutations are affected by technical and interpretive problems, caused by sample mix-up, contamination, biochemical problems, incomplete sequencing, misdocumentation and insufficient reference to previously published data. To assess data quality in case studies of mitochondrial diseases, it is recommended to compare any mtDNA sequence under consideration to their phylogenetically closest lineages available in the Web. The median network method has proven useful for visualizing potential problems with the data. We contrast some early reports of complete mtDNA sequences to more recent total mtDNA sequencing efforts in studies of various mitochondrial diseases. We conclude that the quality of complete mtDNA sequences generated in the medical field in the past few years is somewhat unsatisfactory and may even fall behind that of pioneer manual sequencing in the early nineties. Our study provides a paradigm for an a posteriori evaluation of sequence quality and for detection of potential problems with inferring a pathogenic status of a particular mutation.
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Sáfrány E, Csöngei V, Járomi L, Maász A, Magyari L, Sipeky C, Melegh B. Mitochondrial DNA and its mutations: novel fields in a new era. Orv Hetil 2007; 148:971-8. [PMID: 17513250 DOI: 10.1556/oh.2007.28014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Az utóbbi két évtizedet tartják a klinikai mitokondriális DNS-kutatás aranykorának. Folyamatosan bővül a patológiás variánsok száma, amelyek betegséggel társulnak, illetve bővül az ismeretanyag azokról az entitásokról, melyek hátterében a mitokondriális DNS kóros elváltozásai állnak. A cirkuláris mitokondriális DNS öröklődése eltér a Mendel-féle szabályoktól, anyai öröklésmenetet mutat; számos vonatkozásban eltérő sajátosságokkal rendelkezik a nukleáris DNS-hez viszonyítva. A molekuláris biológiai módszerek terjedésével egyre több kórkép ismerhető fel, noha a diagnosztika manapság is komoly kihívást jelent. Napjainkban a mitokondriális medicina számos orvosi szubspecialitáshoz kapcsolódóan jelentős előrelépéseket mutatott; így körvonalazódott a mitokondriális gasztroenterológia, endokrinológia, otológia, oftalmológia, nefrológia, hematológia, onkológia, reproduktív medicina és pszichiátria, mintegy az adott szubspecialitás mitokondriális DNS-sel kapcsolatos, többé-kevésbé részleges önállósodással megjelenő territóriuma. A jelen összefoglaló közlemény a mitokondriális medicina rövid, általános összefoglalása mellett e fejezetekre próbál rátekintést nyújtani.
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Affiliation(s)
- Eniko Sáfrány
- Pécsi Tudományegyetem, Altalános Orvostudományi Kar Orvosi Genetikai és Gyermekfejlodéstani Intézet, Pécs, Szigeti u. 12. 7624
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