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The recommendation of re-classification of variants of uncertain significance (VUS) in adult genetic disorders patients

Abstract

Since variants of uncertain significance (VUS) reported in genetic testing cannot be acted upon clinically, this classification may delay or prohibit precise diagnosis and genetic counseling in adult genetic disorders patients. Large-scale analyses about qualitatively distinct lines of evidence used for VUS can make them re-classification more accurately. We analyzed 458 Chinese adult patients WES data, within 15 pathogenic evidence PS1, PS2, PM1, PM6 and PP4 were not used for VUS pathogenic classification, meanwhile the PP3, BP4, PP2 were used much more frequently. The PM2_Supporting was used most widely for all reported variants. There were also 31 null variants (nonsense, frameshift, canonical ±1 or 2 splice sites) which were probably the disease-causing variants of the patients were classified as VUS. By analyzed the evidence used for all VUS we recommend that appropriate genetic counseling, reliable releasing of in-house data, allele frequency comparison between case and control, expanded verification in patient family, co-segregation analysis and functional assays were urgent need to gather more evidence to reclassify VUS. We also found adult patients with nervous system disease were reported the most phenotype-associated VUS and the lower the phenotypic specificity, the more reported VUS. This result emphasized the importance of pretest genetic counseling which would make less reporting of VUS. Our result revealed the characteristics of the pathogenic classification evidence used for VUS in adult genetic disorders patients for the first time, recommend a rules-based process to evaluate the pathogenicity of VUS which could provide a strong basis for accurately evaluating the pathogenicity and clinical grade information of VUS. Meanwhile, we further expanded the genetic spectrum and improve the diagnostic rate of adult genetic disorders.

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The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

References

  1. Yohe S, Thyagarajan B. Review of clinical next-generation sequencing. Arch Pathol Lab Med. 2017;141:1544–57.

    Article  CAS  PubMed  Google Scholar 

  2. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–24.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ghosh R, Harrison SM, Rehm HL, Plon SE, Biesecker LG, ClinGen Sequence Variant Interpretation Working Group. Updated recommendation for the benign stand-alone ACMG/AMP criterion. Hum Mutat. 2018;39:1525–30.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Abou Tayoun AN, Pesaran T, DiStefano MT, Oza A, Rehm HL, Biesecker LG, et al. Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criterion. Hum Mutat. 2018;39:1517–24.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Brnich SE, Abou Tayoun AN, Couch FJ, Cutting GR, Greenblatt MS, Heinen CD, et al. Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework. Genome Med. 2019;12:3.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Pejaver V, Byrne AB, Feng BJ, Pagel KA, Mooney SD, Karchin R, et al. Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria. Am J Hum Genet. 2022;109:2163–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Biesecker LG, Harrison SM, ClinGen Sequence Variant Interpretation Working Group. The ACMG/AMP reputable source criteria for the interpretation of sequence variants. Genet Med. 2018;20:1687–8.

    Article  PubMed  PubMed Central  Google Scholar 

  8. McInnes G, Sharo AG, Koleske ML, Brown J, Norstad M, Adhikari AN, et al. Opportunities and challenges for the computational interpretation of rare variation in clinically important genes. Am J Hum Genet. 2021;108:535–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Posey JE, Rosenfeld JA, James RA, Bainbridge M, Niu Z, Wang X, et al. Molecular diagnostic experience of whole-exome sequencing in adult patients. Genet Med. 2016;18:678–85.

    Article  CAS  PubMed  Google Scholar 

  10. Lange KI, Best S, Tsiropoulou S, Berry I, Johnson CA, Blacque OE. Interpreting ciliopathy-associated missense variants of uncertain significance (VUS) in Caenorhabditis elegans. Hum Mol Genet. 2022;31:1574–87.

    Article  CAS  PubMed  Google Scholar 

  11. Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34:i884–90.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Vasimuddin M, Misra S, Li H, Aluru S. Efficient architecture-aware acceleration of BWA-MEM for multicore systems. IEEE Int Parallel Distrib Process Symp (IPDPS). 2019;2019:314–24.

    Google Scholar 

  13. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V, Pollard MO, et al. Twelve years of SAMtools and BCFtools. Gigascience. 2021;10:giab008.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Tarasov A, Vilella AJ, Cuppen E, Nijman IJ, Prins P. Sambamba: fast processing of NGS alignment formats. Bioinformatics. 2015;31:2032–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Cingolani P, Platts A, Wang le L, Coon M, Nguyen T, Wang L, et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 2012;6:80–92.

    Article  CAS  PubMed  Google Scholar 

  17. Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Zhao M, Havrilla JM, Fang L, Chen Y, Peng J, Liu C, et al. Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases. NAR Genom Bioinform. 2020;2:lqaa032.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Rentzsch P, Schubach M, Shendure J, Kircher M. CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Med. 2021;13:31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Xiong HY, Alipanahi B, Lee LJ, Bretschneider H, Merico D, Yuen RK, et al. RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease. Science. 2015;347:1254806.

    Article  PubMed  Google Scholar 

  21. Jian X, Boerwinkle E, Liu X. In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res. 2014;42:13534–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Chen D. Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2023;40:915–21.

  23. Strande NT, Brnich SE, Roman TS, Berg JS. Navigating the nuances of clinical sequence variant interpretation in Mendelian disease. Genet Med. 2018;20:918–26.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Amendola LM, Jarvik GP, Leo MC, McLaughlin HM, Akkari Y, Amaral MD, et al. Performance of ACMG-AMP variant-interpretation guidelines among nine laboratories in the clinical sequencing exploratory research consortium. Am J Hum Genet. 2016;98:1067–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Sessa G, Ehlén Å, von Nicolai C, Carreira A. Missense variants of uncertain significance: a powerful genetic tool for function discovery with clinical implications. Cancers (Basel). 2021;13:3719.

    Article  CAS  PubMed  Google Scholar 

  26. Davieson CD, Joyce KE, Sharma L, Shovlin CL. DNA variant classification-reconsidering “allele rarity” and “phenotype” criteria in ACMG/AMP guidelines. Eur J Med Genet. 2021;64:104312.

    Article  CAS  PubMed  Google Scholar 

  27. Harrison SM, Biesecker LG, Rehm HL. Overview of specifications to the ACMG/AMP variant interpretation guidelines. Curr Protoc Hum Genet. 2019;103:e93.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Bhat V, Adzhubei IA, Fife JD, Lebo M, Cassa CA. Informing variant assessment using structured evidence from prior classifications (PS1, PM5, and PVS1 sequence variant interpretation criteria). Genet Med. 2023;25:16–26.

    Article  CAS  PubMed  Google Scholar 

  29. Brnich SE, Rivera-Muñoz EA, Berg JS. Quantifying the potential of functional evidence to reclassify variants of uncertain significance in the categorical and Bayesian interpretation frameworks. Hum Mutat. 2018;39:1531–41.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Weck KE. Interpretation of genomic sequencing: variants should be considered uncertain until proven guilty. Genet Med. 2018;20:291–3.

    Article  PubMed  Google Scholar 

  31. Waung MW, Ma F, Wheeler AG, Zai CC, So J. The diagnostic landscape of adult neurogenetic disorders. Biol (Basel). 2023;12:1459.

    CAS  Google Scholar 

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Acknowledgements

First, we sincerely thank all the participants in this study for their cooperation and support. We thank many doctors from our department of echocardiography and neurology, who contributed to the recruitment and clinical follow-up. All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (82172348); Wusong Central Hospital, Baoshan District, Shanghai;Baoshan District Health Commission Key Subject Construction Project (BSZK-2023-A18); the constructing project of clinical key disciplines in Shanghai (shslczdzk03302).

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Li Zhang and Minna Shen wrote the main manuscript text and prepared Figs. 14. Xianhong Shu, Jing Ding, Jingmin Zhou and Huandong Lin provided clinical samples, Wei Guo, Beili Wang, Chunyan Zhang and Baishen Pan designed the research. All authors reviewed the manuscript.

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Correspondence to Beili Wang or Wei Guo.

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Zhang, L., Shen, M., Shu, X. et al. The recommendation of re-classification of variants of uncertain significance (VUS) in adult genetic disorders patients. J Hum Genet 69, 425–431 (2024). https://doi.org/10.1038/s10038-024-01263-4

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