Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation
Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient s...
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Published in | Human mutation Vol. 41; no. 12; pp. 2028 - 2057 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
John Wiley & Sons, Inc
01.12.2020
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Subjects | |
Online Access | Get full text |
ISSN | 1059-7794 1098-1004 1098-1004 |
DOI | 10.1002/humu.24107 |
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Abstract | Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics and Association of Molecular Pathology standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well as specifications for utilization of mtDNA genomic databases and computational algorithms. |
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AbstractList | Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics and Association of Molecular Pathology standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well as specifications for utilization of mtDNA genomic databases and computational algorithms. Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource (MSeqDR) Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics (ACMG) and Association of Molecular Pathology (AMP) standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel based consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well specifications for utilization of mtDNA genomic databases and computational algorithms. Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics and Association of Molecular Pathology standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well as specifications for utilization of mtDNA genomic databases and computational algorithms.Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal inheritance, variant heteroplasmy, threshold effect, absence of splicing, and contextual effects of haplogroups. Currently, there are insufficient standardized criteria for mtDNA variant assessment, which leads to inconsistencies in clinical variant pathogenicity reporting. An international working group of mtDNA experts was assembled within the Mitochondrial Disease Sequence Data Resource Consortium and obtained Expert Panel status from ClinGen. This group reviewed the 2015 American College of Medical Genetics and Association of Molecular Pathology standards and guidelines that are widely used for clinical interpretation of DNA sequence variants and provided further specifications for additional and specific guidance related to mtDNA variant classification. These Expert Panel consensus specifications allow for consistent consideration of the unique aspects of the mtDNA genome that directly influence variant assessment, including addressing mtDNA genome composition and structure, haplogroups and phylogeny, maternal inheritance, heteroplasmy, and functional analyses unique to mtDNA, as well as specifications for utilization of mtDNA genomic databases and computational algorithms. |
Author | Merkurjev, Daria Stanley, Christine M. Dulik, Matthew C. Bai, Renkui Falk, Marni J. Shen, Lishuang Bhardwaj, Anshu Gai, Xiaowu Pineda‐Alvarez, Daniel E. Karaa, Amel Zhang, Shiping Wong, Stacey Procaccio, Vincent Vitale, Ornella Attimonelli, Marcella Singh, Larry N. Lott, Marie T. Sondheimer, Neal Wallace, Douglas C. McCormick, Elizabeth M. Mao, Rong |
AuthorAffiliation | 6 Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari “A. Moro”, Bari, Italy 17 Biochemistry and Genetics Department, MitoVasc Institute, UMR CNRS 6015– INSERM U1083, CHU Angers, 49933 Angers, France 18 Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA 7 Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA 16 Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA 2 Center for Mitochondrial and Epigenomic Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA 3 Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 11 QNA Diagnostics, Cambridge, MA 02139, USA 10 Variantyx, Inc, Framingham, MA 01701, USA 4 Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA 13 ARUP Institute for Clinical and |
AuthorAffiliation_xml | – name: 11 QNA Diagnostics, Cambridge, MA 02139, USA – name: 14 Department of Pathology, School of Medicine, University of Utah, Salt Lake City, UT 84112, USA – name: 2 Center for Mitochondrial and Epigenomic Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA – name: 17 Biochemistry and Genetics Department, MitoVasc Institute, UMR CNRS 6015– INSERM U1083, CHU Angers, 49933 Angers, France – name: 15 Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada – name: 16 Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA – name: 5 Center for Personalized Medicine, Department of Pathology & Laboratory Medicine, Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA – name: 8 GeneDx, Gaithersburg, MD 20877, USA – name: 7 Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA – name: 10 Variantyx, Inc, Framingham, MA 01701, USA – name: 4 Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA – name: 3 Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA – name: 13 ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, UT 84108, USA – name: 1 Mitochondrial Medicine Frontier Program, Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA – name: 9 Invitae, San Francisco, CA 94103, USA – name: 12 CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh – 160036, India – name: 18 Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA – name: 6 Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari “A. Moro”, Bari, Italy |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32906214$$D View this record in MEDLINE/PubMed |
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Keywords | heteroplasmy pathogenicity mtDNA criteria mitochondria variant interpretation |
Language | English |
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Notes | Elizabeth M. McCormick, Marie T. Lott, and Matthew C. Dulik equally contributed as first authors. Douglas C. Wallace, Xiaowu Gai, and Marni J. Falk equally contributed as senior authors. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors contributed equally to this work. MJF conceived of the project. EMM, MTL, MCD, LS, MA, OV, AK, RB, DEPA, LNS, CMS, SW, RM, and NS met regularly to specify guidelines with oversight by VP, DCW, XG, and MJF. SZ, DM, LS, and AB provided bioinformatics support. The manuscript was written by EMM, MTL, MCD, LS, MA, OV, NS, XG, and MJF with all authors reviewing and agreeing with final submission. Author contributions |
ORCID | 0000-0002-1723-6728 0000-0002-2478-5864 0000-0002-5478-8046 0000-0002-0436-0199 0000-0003-2035-479X 0000-0003-2091-8364 0000-0002-1537-4684 0000-0001-8679-9703 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/7717623 |
PMID | 32906214 |
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PQPubID | 30498 |
PageCount | 30 |
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PublicationCentury | 2000 |
PublicationDate | December 2020 |
PublicationDateYYYYMMDD | 2020-12-01 |
PublicationDate_xml | – month: 12 year: 2020 text: December 2020 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Hoboken |
PublicationTitle | Human mutation |
PublicationTitleAlternate | Hum Mutat |
PublicationYear | 2020 |
Publisher | John Wiley & Sons, Inc |
Publisher_xml | – name: John Wiley & Sons, Inc |
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Snippet | Mitochondrial DNA (mtDNA) variant pathogenicity interpretation has special considerations given unique features of the mtDNA genome, including maternal... |
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SubjectTerms | Computer applications criteria Databases, Genetic Decision Trees Deoxyribonucleic acid DNA DNA, Mitochondrial - genetics Genetic Variation Genomes Guidelines as Topic Haplotypes - genetics Heteroplasmy Humans Maternal inheritance mitochondria Mitochondrial DNA mtDNA Nucleotide sequence Pathogenicity Phenotype Phylogeny Reference Standards Societies, Scientific variant interpretation |
Title | Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation |
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