Limitations in next-generation sequencing-based genotyping of breast cancer polygenic risk score loci.


Journal

European journal of human genetics : EJHG
ISSN: 1476-5438
Titre abrégé: Eur J Hum Genet
Pays: England
ID NLM: 9302235

Informations de publication

Date de publication:
21 Jun 2024
Historique:
received: 21 12 2023
accepted: 10 06 2024
revised: 17 05 2024
medline: 22 6 2024
pubmed: 22 6 2024
entrez: 21 6 2024
Statut: aheadofprint

Résumé

Considering polygenic risk scores (PRSs) in individual risk prediction is increasingly implemented in genetic testing for hereditary breast cancer (BC) based on next-generation sequencing (NGS). To calculate individual BC risks, the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) with the inclusion of the BCAC 313 or the BRIDGES 306 BC PRS is commonly used. The PRS calculation depends on accurately reproducing the variant allele frequencies (AFs) and, consequently, the distribution of PRS values anticipated by the algorithm. Here, the 324 loci of the BCAC 313 and the BRIDGES 306 BC PRS were examined in population-specific database gnomAD and in real-world data sets of five centers of the German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC), to determine whether these expected AFs can be reproduced by NGS-based genotyping. Four PRS loci were non-existent in gnomAD v3.1.2 non-Finnish Europeans, further 24 loci showed noticeably deviating AFs. In real-world data, between 11 and 23 loci were reported with noticeably deviating AFs, and were shown to have effects on final risk prediction. Deviations depended on the sequencing approach, variant caller and calling mode (forced versus unforced) employed. Therefore, this study demonstrates the necessity to apply quality assurance not only in terms of sequencing coverage but also observed AFs in a sufficiently large cohort, when implementing PRSs in a routine diagnostic setting. Furthermore, future PRS design should be guided by the technical reproducibility of expected AFs across commonly used genotyping methods, especially NGS, in addition to the observed effect sizes.

Identifiants

pubmed: 38907004
doi: 10.1038/s41431-024-01647-2
pii: 10.1038/s41431-024-01647-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Bundesministerium für Gesundheit (Federal Ministry of Health, Germany)
ID : genomDE
Organisme : Bundesministerium für Gesundheit (Federal Ministry of Health, Germany)
ID : genomDE
Organisme : Deutsche Krebshilfe (German Cancer Aid)
ID : HerediVar

Investigateurs

Stephan Drukewitz (S)
Christoph Engel (C)
Peter Frommolt (P)
Eva Groß (E)
Johannes Helmuth (J)
Zarah Kowalzyk (Z)
Maximilian Radtke (M)
Juliane Ramser (J)
Steffen Uebe (S)
Shan Wang-Gohrke (S)

Informations de copyright

© 2024. The Author(s).

Références

Lakeman IM, Hilbers FS, Rodrìguez-Girondo M, Lee A, Vreeswijk MP, Hollestelle A, et al. Addition of a 161-SNP polygenic risk score to family history-based risk prediction: impact on clinical management in non-BRCA1/2 breast cancer families. J Med Genet. 2019;56:581–9.
doi: 10.1136/jmedgenet-2019-106072 pubmed: 31186341
Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, et al. Polygenic risk scores for prediction of breast cancer and breast cancer subtypes. Am J Hum Genet. 2019;104:21–34.
doi: 10.1016/j.ajhg.2018.11.002 pubmed: 30554720
Shieh Y, Hu D, Ma L, Huntsman S, Gard CC, Leung JW, et al. Breast cancer risk prediction using a clinical risk model and polygenic risk score. Breast Cancer Res Treat. 2016;159:513–25.
doi: 10.1007/s10549-016-3953-2 pubmed: 27565998 pmcid: 5033764
Borde J, Ernst C, Wappenschmidt B, Niederacher D, Weber-Lassalle K, Schmidt G, et al. Performance of breast cancer polygenic risk scores in 760 female CHEK2 germline mutation carriers. J Natl Cancer Inst. 2021;113:893–9.
doi: 10.1093/jnci/djaa203 pubmed: 33372680
Borde J, Laitman Y, Blümcke B, Niederacher D, Weber-Lassalle K, Sutter C, et al. Polygenic risk scores indicate extreme ages at onset of breast cancer in female BRCA1/2 pathogenic variant carriers. BMC Cancer. 2022;22:1–9.
doi: 10.1186/s12885-022-09780-1
Gallagher S, Hughes E, Wagner S, Tshiaba P, Rosenthal E, Roa BB, et al. Association of a polygenic risk score with breast cancer among women carriers of high-and moderate-risk breast cancer genes. JAMA Netw Open. 2020;3:e208501–e208501.
doi: 10.1001/jamanetworkopen.2020.8501 pubmed: 32609350 pmcid: 7330720
Kuchenbaecker KB, McGuffog L, Barrowdale L, Lee A, Soucy P, Healey S, et al. Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers. J Natl Cancer Inst. 2017;109:djw302.
doi: 10.1093/jnci/djw302 pubmed: 28376175 pmcid: 5408990
Stiller S, Drukewitz S, Lehmann K, Hentschel J, Strehlow V. Clinical impact of polygenic risk score for breast cancer risk prediction in 382 individuals with hereditary breast and ovarian cancer syndrome. Cancers. 2023;15:3938.
doi: 10.3390/cancers15153938 pubmed: 37568754 pmcid: 10417109
Carver T, Hartley S, Lee A, Cunningham AP, Archer S, Babb de Villiers C, et al. CanRisk tool – a web interface for the prediction of breast and ovarian cancer risk and the likelihood of carrying genetic pathogenic variants. Cancer Epidemiol Biomark Prev. 2021;30:469–73.
doi: 10.1158/1055-9965.EPI-20-1319
Lee A, Mavaddat N, Wilcox AN, Cunningham AP, Carver T, Hartley S, et al. BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genet Med. 2019;21:1708–18.
doi: 10.1038/s41436-018-0406-9 pubmed: 30643217 pmcid: 6687499
Tüchler A, De Pauw A, Ernst C, Anota A, Lakeman IMM, Dick J, et al. Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction. Breast 2024;73:103615.
doi: 10.1016/j.breast.2023.103615 pubmed: 38061307
Carver T. CanRisk knowledgebase. 2022. https://canrisk.atlassian.net/wiki/spaces/FAQS/pages/35979266/What+variants+are+used+in+the+PRS . Accessed 30 Nov 2022.
Mavaddat N, Ficorella L, Carver T, Lee A, Cunningham AP, Lush M, et al. Incorporating alternative polygenic risk scores into the BOADICEA breast cancer risk prediction model. Cancer Epidemiol Biomark Prev. 2023;32:422–7.
doi: 10.1158/1055-9965.EPI-22-0756
Kiialainen A, Karlberg O, Ahlford A, Sigurdsson S, Lindblad-Toh K, Syvänen AC. Performance of microarray and liquid based capture methods for target enrichment for massively parallel sequencing and SNP discovery. PLoS ONE. 2011;6:e16486.
doi: 10.1371/journal.pone.0016486 pubmed: 21347407 pmcid: 3036585
Sulonen AM, Ellonen P, Almusa H, Lepistö M, Eldfors S, Hannula S, et al. Comparison of solution-based exome capture methods for next generation sequencing. Genome Biol. 2011;12:1–18.
doi: 10.1186/gb-2011-12-9-r94
Teer JK, Bonnycastle LL, Chines PS, Hansen NF, Aoyama N, Swift AJ, et al. Systematic comparison of three genomic enrichment methods for massively parallel DNA sequencing. Genome Res. 2010;20:1420–31.
doi: 10.1101/gr.106716.110 pubmed: 20810667 pmcid: 2945191
Yi M, Zhao Y, Jia L, He M, Kebebew E, Stephens RM. Performance comparison of SNP detection tools with Illumina exome sequencing data – an assessment using both family pedigree information and sample-matched SNP array data. Nucleic Acids Res. 2014;42:e101–e101.
doi: 10.1093/nar/gku392 pubmed: 24831545 pmcid: 4081058
Li H. Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics. 2014;30:2843–51.
doi: 10.1093/bioinformatics/btu356 pubmed: 24974202 pmcid: 4271055
Reis AL, Deveson IW, Madala BS, Wong T, Barker C, Xu J, et al. Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome. Genome Biol. 2022;23:1–24.
doi: 10.1186/s13059-021-02579-6
Stoler N, Nekrutenko A. Sequencing error profiles of Illumina sequencing instruments. NAR Genom Bioinform. 2021;3:lqab019.
doi: 10.1093/nargab/lqab019 pubmed: 33817639 pmcid: 8002175
Gudmundsson S, Singer-Berk M, Watts NA, Phu W, Goodrich JK, Solomonson M, et al. Variant interpretation using population databases: lessons from gnomAD. Hum Mutat. 2022;43:1012–30.
doi: 10.1002/humu.24309 pubmed: 34859531
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–43.
doi: 10.1038/s41586-020-2308-7 pubmed: 32461654 pmcid: 7334197
Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, et al. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29:308–11.
doi: 10.1093/nar/29.1.308 pubmed: 11125122 pmcid: 29783
Collins RL, Brand H, Karczewski KJ, Zhao X, Alföldi J, Francioli LC, et al. A structural variation reference for medical and population genetics. Nature. 2020;581:444–51.
doi: 10.1038/s41586-020-2287-8 pubmed: 32461652 pmcid: 7334194
Adeyemo A, Balaconis MK, Darnes DR, Fatumo S, Moreno PG, Hodonsky CJ, et al. Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med. 2021;27:1876–84.
doi: 10.1038/s41591-021-01549-6
Sugrue LP, Desikan RS. What are polygenic scores and why are they important? JAMA. 2019;321:1820–1.
doi: 10.1001/jama.2019.3893 pubmed: 30958510

Auteurs

Alexandra Baumann (A)

Institute for Clinical Genetics, University Hospital Carl Gustav Carus at TUD Dresden University of Technology and Faculty of Medicine of TUD Dresden University of Technology, Dresden, Germany.
ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), NCT/UCC Dresden, a partnership between German Cancer Research Center (DKFZ), Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
German Cancer Research Center (DKFZ), Heidelberg, Germany.
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Christian Ruckert (C)

Department of Medical Genetics, University Hospital Münster, Münster, Germany.

Christoph Meier (C)

Institute of Human Genetics, University of Regensburg, Regensburg, Germany.

Tim Hutschenreiter (T)

Institute for Clinical Genetics, University Hospital Carl Gustav Carus at TUD Dresden University of Technology and Faculty of Medicine of TUD Dresden University of Technology, Dresden, Germany.
ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), NCT/UCC Dresden, a partnership between German Cancer Research Center (DKFZ), Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
German Cancer Research Center (DKFZ), Heidelberg, Germany.
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Robert Remy (R)

Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany.

Benedikt Schnur (B)

Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.

Marvin Döbel (M)

Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany.

Rudel Christian Nkouamedjo Fankep (RCN)

Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany.

Dariush Skowronek (D)

Department of Human Genetics, University Medicine Greifswald and Interfaculty Institute of Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany.

Oliver Kutz (O)

Institute for Clinical Genetics, University Hospital Carl Gustav Carus at TUD Dresden University of Technology and Faculty of Medicine of TUD Dresden University of Technology, Dresden, Germany.
ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), NCT/UCC Dresden, a partnership between German Cancer Research Center (DKFZ), Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
German Cancer Research Center (DKFZ), Heidelberg, Germany.
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Department of Gynecology and Obstetrics, University Hospital Carl Gustav Carus at TUD Dresden University of Technology and Faculty of Medicine of TUD Dresden University of Technology, Dresden, Germany.

Norbert Arnold (N)

Department of Gynecology and Obstetrics, Institute of Clinical Chemistry Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.

Anna-Lena Katzke (AL)

Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.

Michael Forster (M)

Department of Gynecology and Obstetrics, Institute of Clinical Chemistry Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.

Anna-Lena Kobiela (AL)

Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany.

Katharina Thiedig (K)

Division of Gynaecology and Obstetrics, Klinikum rechts der Isar der Technischen Universität München, München, Germany.

Andreas Zimmer (A)

Institute for Human Genetics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Julia Ritter (J)

Department of Human Genetics, Labor Berlin - Charité Vivantes GmbH, Berlin, Germany.

Bernhard H F Weber (BHF)

Institute of Human Genetics, University of Regensburg, Regensburg, Germany.
Institute of Clinical Human Genetics, University Hospital Regensburg, Regensburg, Germany.

Ellen Honisch (E)

Department of Gynaecology and Obstetrics, University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.

Karl Hackmann (K)

Institute for Clinical Genetics, University Hospital Carl Gustav Carus at TUD Dresden University of Technology and Faculty of Medicine of TUD Dresden University of Technology, Dresden, Germany.
ERN GENTURIS, Hereditary Cancer Syndrome Center Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), NCT/UCC Dresden, a partnership between German Cancer Research Center (DKFZ), Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
German Cancer Research Center (DKFZ), Heidelberg, Germany.
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Gunnar Schmidt (G)

Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.

Marc Sturm (M)

Institute of Medical Genetics and Applied Genomics, University Hospital Tübingen, Tübingen, Germany.

Corinna Ernst (C)

Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Medical Faculty, University of Cologne and University Hospital Cologne, Cologne, Germany. corinna.ernst@uk-koeln.de.

Classifications MeSH