Abstract
Keywords
Main
I. Interpretative Categories and Definitions of Sequence Variations
1. Sequence variation is previously reported and is a recognized cause of the disorder
Human genome mutation database at the Institute of Medical Genetics in Cardiff Wales United Kingdom: Cardiff University. 2004 Available at: http://archive.uwcm.ac.uk/uwcm/mg/hgmd0.html Accessed November 26, 2007.
2. Sequence variation is previously unreported and is of the type which is expected to cause the disorder
3. Sequence variation is previously unreported and is of the type which may or may not be causative of the disorder
4. Sequence variation is previously unreported and is probably not causative of disease
5. Sequence variation is previously reported and is a recognized neutral variant
Human genome mutation database at the Institute of Medical Genetics in Cardiff Wales United Kingdom: Cardiff University. 2004 Available at: http://archive.uwcm.ac.uk/uwcm/mg/hgmd0.html Accessed November 26, 2007.
db SNP at the National Center for Biotechnology Information in Bethesda, Maryland, 1988. Available at: www.ncbi.nlm.nih.gov/sites/entrez?db=snp Accessed November 26, 2007.
6. Sequence variation is not known or expected to be causative of disease, but is found to be associated with a clinical presentation
II. Reporting of Sequence Variations
American College of Medical Genetics standards and guidelines for clinical genetics laboratories, 2007 edition. Available at: http://www.acmg.net/AM/Template.cfm?Section=Laboratory_Standards_and_Guidelines&Template=/CM/HTMLDisplay.cfm&ContentID=2009 Accessed November 26, 2007.
College of American Pathologists molecular pathology checklist. Available at: www.cap.org/apps/docs/laboratory_accreditation/checklists/molecular_pathology_december2006.pdf Accessed November 26, 2007.
- 1.Reports should identify the gene analyzed, indicate the absence or presence of a sequence variation other than those judged to be of no consequence, and, if applicable, indicate the location of the sequence variation by nucleotide position, codons affected, deduced amino acid change(s), and whether the substitution is conservative or nonconservative from a biochemical perspective. They should also include whether all exons or only targeted exons were sequenced and whether intron-exon boundaries were analyzed.
- 2.Reports should indicate the interpretative category of the test results (see above I, 1–6). Each laboratory needs to determine the level of comfort and the granularity of these categories for each gene it analyzes. The category of novel missense variant of uncertain significance may be further subdivided into “suspected deleterious change” and “suspected benign variant” if enough supportive data exist to allow for these nuances. Because this information may be used for medical decisions, such as surgery or pregnancy termination, the recommended conservative approach is to avoid speculation and simply classify the variant as one of unknown clinical significance, even if potentially more frustrating for the patient.
- 3.Reports should provide a discussion of the basis upon which the interpretation was made with citation of available supportive data (see above).
- 4.Reports should indicate the methodology and its analytical sensitivity used in the analysis in sufficient detail to permit the clinician to determine the analytic reliability of the observation (e.g., detection by a mutation scanning technique, such as denaturing high-pressure liquid chromatography or high-resolution melting alone, or in combination with targeted sequence confirmation, or by direct sequence analysis of the coding region of the gene and flanking intron/exon boundaries). Also see section on “limitations of mutation-detection testing ” (Section B).
- 5.Reports in which a previously reported sequence variant was identified should include information on penetrance, expressivity, etc., or state that no relevant data exist.
- 6.Reports in which a sequence variant not previously reported was identified, and for which no relevant data exist, should include possible strategies for studying the variant further in an effort to arrive at a clinical interpretation. At the very least, this should include a recommendation to test other affected and unaffected family members to determine whether the variant segregates with the phenotype within the family. Further extensive work would include application of algorithms (Fig. 1).Fig 1A decision tree for interpretation of sequence variants and clinical reporting. Evidence that can be used to support sequence variant interpretation is shown in the box at the bottom.
A. Use of standardized terminology and established databases for reporting sequence variants
1. Nomenclature
den Dunnen JT. Nomenclature for the description of sequence variations. Revised October, 2007, on the Human Genome Variation Society (HGVS). Available at: http://www.hgvvs.org/mutnomen/ Accessed November 26, 2007.
2. Reference sequence
NCBI refseq database at the National Center for Biotechnology Information in Bethesda, Maryland. Available at: http://www.ncbi.nlm.nih.gov/RefSeq/ Accessed November 28, 2007.
3. Databases
- 1.Any nonstandard numbering systems, numbering start sites, or variant designations;
- 2.The frequency with which the database is curated and the latest update;
- 3.Evidence for variant classification (it is recommended to check the original cited reference);
- 4.Number of times the variant has been reported;
- 5.Populations in which a variant has been reported.
Human Variome Project, 2007. Available at: http://www.humanvariomeproject.org/ Accessed November 28, 2007.
Health Insurance Portability and Accountability Act of 1996 (HIPAA) at U.S. Department of Health and Human Services at Washington, D.C. Available at: http://www.hhs.gov/ocr/hipaa/. Accessed November 28, 2007.
B. Limitations of sequence-based testing should be reported
- 1.Normal sequence variation in the genome can affect results obtained by sequence-based testing and should be taken into account when reporting sequence-based test results. For example, the presence of a normal sequence variation (polymorphism) within the polymerase chain reaction (PCR) primer binding site may affect amplification and subsequently the sequencing result. If a mutation occurs on the allele with the (primer-binding site) polymorphism, it may not be detected if that allele fails to amplify. Although appropriate care should be taken to design primers in nonpolymorphic regions of the genome, this is not always possible because many polymorphisms are not reported and indeed may not yet have been identified. It is therefore important to indicate while reporting sequencing results (especially for normal results or when only one mutation is found when two are expected as in autosomal recessive diseases) that polymorphic/normal genomic variation in the patient sample may interfere with mutation detection.
- 2.Large gene deletions that involve one or several exons will not be detected by sequence analysis as the primer-binding sites for the amplification primers are deleted. The presence of a large deletion when present on one allele will be masked by the amplified normal allele. It is therefore important to indicate while reporting results (especially for normal results or when only one mutation is found when two are expected as in autosomal recessive diseases) that certain types of mutations, such as large deletions will be missed by sequencing (or other PCR-based mutation scanning method used).
- 3.The presence of a rare polymorphism or mutation in the apparent homozygous state may be indicative of nonamplification of one allele (because of either a polymorphism in the primer binding site or a deletion of that allele) and may, in actuality, represent hemizygosity for the polymorphism. In the case of an autosomal recessive disorder, the presence of homozygosity for a rare mutation could be attributed to the presence of consanguinity in the family or a founder effect. Follow-up studies using different primers for PCR/sequencing or deletion analysis or parental DNA (with appropriate consent) should be considered.
- 4.The sensitivity of the mutation detection technology used to detect sequence changes should also be mentioned in the patient report. For example, sequencing has an analytical sensitivity of approximately 99% for the detection of nucleotide base alterations, small deletions, and insertions, but it does not detect large deletions, thus affecting the clinical sensitivity for the disease. Low-level mosaicism will not be detected by routine sequencing methodologies.
- 5.The report should also indicate the regions of the gene covered by the mutation detection technique used and the fact that mutations that occur outside of these regions would not be detected. For example, if only the coding and immediate flanking regions of genes are analyzed, new splice sites, changes in the promoter region, and other noncoding or regulatory regions will not be detected.
III. Follow-Up Studies to Ascertain the Clinical Significance of Sequence Variations
- 1.Assessment of the likely clinical significance may be improved by testing additional family members. Relationships, e.g., parentage, sibships, and more distantly related family members should be confirmed as appropriate. Family concordance studies are useful for clarifying the relationship between sequence variation and phenotype in all Mendelian disorders, no matter what the inheritance pattern. The following paragraph deals with the case of a new mutation in the proband.
- 2.In cases in which the phenotype is de novo within the family, parental DNA can be evaluated for the presence or absence of the sequence variation identified previously in the proband. For X-linked recessive and autosomal dominant traits, absence of the sequence variation in either parent significantly increases the likelihood that the sequence variation is causative of the proband's phenotype. Conversely, the presence of the sequence variation in both an unaffected parent and the proband is of uncertain interpretation. Consideration of age of onset and phenotypic variation should be appropriately evaluated in this assessment.
- 3.Sequence variations, independent of clarification of their causation status, may be used in classical linkage analysis for carrier, predictive, and prenatal testing. In cases in which there is a family history of the disorder, affected and unaffected family members can be evaluated for the presence of the sequence variation and the results subjected to linkage analysis. The accuracy of the analysis is sensitive to those sources of error inherent in linkage analyses, e.g., undetected recombination, locus heterogeneity, and availability of appropriate family members for testing.
- 4.In recessive disorders, inheritance of two sequence variants in trans should be confirmed by analysis of parental DNA if possible. Association of two variants in cis removes the possibility that they are by themselves a complete explanation of an autosomal recessive phenotype.
- 5.Extensive testing of normal chromosomes or previous experience of the laboratory in not finding a novel variant in a normal population may be helpful in determining whether the variant is disease-causing or benign.
- 1.Indirect measures such as Grantham analysis13.of the fit between the variant and the evolutionary range of variation at that position, estimation of splice site robustness derived from other model systems, and the location and perceived severity of amino acid change as related to functional domains. Software programs such as SIFT,14.Polyphen,15.and Conseq
Polyphen (polymorphism, phenotyping) at European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany, 2002. Available at: http://coot.embl.de/PolyPhen/ Accessed November 28, 2007.
16.can be used to help predict the effect of amino acid changes. Multiple software predictive programs are available to predict splicing (creation or loss of site and intronic or exonic) such as Splice Site Prediction by Neural Network17.(http://www.fruitfly.org/seq_tools/splice.html) or ESEfinder:Exonic Splicing Enhancer FinderSplice Site Neural Network at the University of California, Berkeley, California, 1997. Available at: http://www.fruitfly.org/seq_tools/splice.html Accessed November 28, 2007.
18.(http://rulai.cshl.edu/tools/ESE/index.html). Laboratories should validate any predictive software program used clinically.ESEfinder:Exonic Splicing Enhancer Finder at Cold Spring Harbor Laboratory, Cold Spring Harbor, 2001. Available at: http://rulai.cshl.edu/tools/ESE/index.html Accessed November 28, 2007.
- 2.Evidence from functional analysis such as pathologic classification, histopathology and immunochemical profiles, protein function assays, structural analysis (modeling), loss of heterozygosity and analysis of RNA species when determination that the aberrant product is derived from the affected allele is possible.
IV. Amended Reports: Reporting Updated Results to Physicians
V. Clinical and Technical Validation of Sequence Variation Detection
Clinical Laboratory Improvement Amendment (CLIA) at the U.S. Department of Health and Human Services, Baltimore, Maryland. Available at: http://www.cms.hhs.gov/clia/. Accessed November 28, 2007.
American College of Medical Genetics standards and guidelines for clinical genetics laboratories, 2007 edition. Available at: http://www.acmg.net/AM/Template.cfm?Section=Laboratory_Standards_and_Guidelines&Template=/CM/HTMLDisplay.cfm&ContentID=2009 Accessed November 26, 2007.
Acknowledgements
Additional information
References
- ACMG recommendation for standards for interpretation of sequence variations.10.1097/00125817-200009000-00009Genet Med. 2000; 2: 302-303
Human genome mutation database at the Institute of Medical Genetics in Cardiff Wales United Kingdom: Cardiff University. 2004 Available at: http://archive.uwcm.ac.uk/uwcm/mg/hgmd0.html Accessed November 26, 2007.
db SNP at the National Center for Biotechnology Information in Bethesda, Maryland, 1988. Available at: www.ncbi.nlm.nih.gov/sites/entrez?db=snp Accessed November 26, 2007.
- Association of RET proto-oncogene codon 45 with Hirschsprung Disease.1:CAS:528:DyaK1MXns1Cksr8%3D10.1086/302618Am J Hum Genet. 1999; 65: 1469-1473
American College of Medical Genetics standards and guidelines for clinical genetics laboratories, 2007 edition. Available at: http://www.acmg.net/AM/Template.cfm?Section=Laboratory_Standards_and_Guidelines&Template=/CM/HTMLDisplay.cfm&ContentID=2009 Accessed November 26, 2007.
College of American Pathologists molecular pathology checklist. Available at: www.cap.org/apps/docs/laboratory_accreditation/checklists/molecular_pathology_december2006.pdf Accessed November 26, 2007.
- Nomenclature for the description of human sequence variations.1:CAS:528:DC%2BD3MXltlGqtLw%3D10.1007/s004390100505Hum Genet. 2001; 109: 121-124
- Mutation nomenclature extensions and suggestions to describe complex mutations: a discussion.1:CAS:528:DC%2BD3cXltV2htw%3D%3D10.1002/(SICI)1098-1004(200001)15Hum Mutat. 2000; 15 (:1<7::AID-HUMU4>3.0.CO;2-N): 7-12
den Dunnen JT. Nomenclature for the description of sequence variations. Revised October, 2007, on the Human Genome Variation Society (HGVS). Available at: http://www.hgvvs.org/mutnomen/ Accessed November 26, 2007.
NCBI refseq database at the National Center for Biotechnology Information in Bethesda, Maryland. Available at: http://www.ncbi.nlm.nih.gov/RefSeq/ Accessed November 28, 2007.
Human Variome Project, 2007. Available at: http://www.humanvariomeproject.org/ Accessed November 28, 2007.
Health Insurance Portability and Accountability Act of 1996 (HIPAA) at U.S. Department of Health and Human Services at Washington, D.C. Available at: http://www.hhs.gov/ocr/hipaa/. Accessed November 28, 2007.
- Amino acid difference formula to help explain protein evolution.1:CAS:528:DyaE2cXlsVOiuro%3D10.1126/science.185.4154.862Science. 1974; 185: 862-864
- SIFT: predicting amino acid changes that affect protein function.1:CAS:528:DC%2BD3sXltVWjs7s%3D10.1093/nar/gkg509Nucleic Acids Res. 2003; 31: 3812-3814
Polyphen (polymorphism, phenotyping) at European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany, 2002. Available at: http://coot.embl.de/PolyPhen/ Accessed November 28, 2007.
- ConSeq: the identification of functionally and structurally important residues in protein sequences.1:CAS:528:DC%2BD2cXkt1Srtbw%3D10.1093/bioinformatics/bth070Bioinformatics. 2004; 20: 1322-1324
Splice Site Neural Network at the University of California, Berkeley, California, 1997. Available at: http://www.fruitfly.org/seq_tools/splice.html Accessed November 28, 2007.
ESEfinder:Exonic Splicing Enhancer Finder at Cold Spring Harbor Laboratory, Cold Spring Harbor, 2001. Available at: http://rulai.cshl.edu/tools/ESE/index.html Accessed November 28, 2007.
- ACMG policy statement: duty to recontact.10.1097/00125817-199905000-00010Genet Med. 1999; 1: 171-172
Clinical Laboratory Improvement Amendment (CLIA) at the U.S. Department of Health and Human Services, Baltimore, Maryland. Available at: http://www.cms.hhs.gov/clia/. Accessed November 28, 2007.
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