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Zhou Y, Pirmann S, Lauschke VM. APF2: an improved ensemble method for pharmacogenomic variant effect prediction. THE PHARMACOGENOMICS JOURNAL 2024; 24:17. [PMID: 38802404 PMCID: PMC11129946 DOI: 10.1038/s41397-024-00338-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/26/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024]
Abstract
Lack of efficacy or adverse drug response are common phenomena in pharmacological therapy causing considerable morbidity and mortality. It is estimated that 20-30% of this variability in drug response stems from variations in genes encoding drug targets or factors involved in drug disposition. Leveraging such pharmacogenomic information for the preemptive identification of patients who would benefit from dose adjustments or alternative medications thus constitutes an important frontier of precision medicine. Computational methods can be used to predict the functional effects of variant of unknown significance. However, their performance on pharmacogenomic variant data has been lackluster. To overcome this limitation, we previously developed an ensemble classifier, termed APF, specifically designed for pharmacogenomic variant prediction. Here, we aimed to further improve predictions by leveraging recent key advances in the prediction of protein folding based on deep neural networks. Benchmarking of 28 variant effect predictors on 530 pharmacogenetic missense variants revealed that structural predictions using AlphaMissense were most specific, whereas APF exhibited the most balanced performance. We then developed a new tool, APF2, by optimizing algorithm parametrization of the top performing algorithms for pharmacogenomic variations and aggregating their predictions into a unified ensemble score. Importantly, APF2 provides quantitative variant effect estimates that correlate well with experimental results (R2 = 0.91, p = 0.003) and predicts the functional impact of pharmacogenomic variants with higher accuracy than previous methods, particularly for clinically relevant variations with actionable pharmacogenomic guidelines. We furthermore demonstrate better performance (92% accuracy) on an independent test set of 146 variants across 61 pharmacogenes not used for model training or validation. Application of APF2 to population-scale sequencing data from over 800,000 individuals revealed drastic ethnogeographic differences with important implications for pharmacotherapy. We thus think that APF2 holds the potential to improve the translation of genetic information into pharmacogenetic recommendations, thereby facilitating the use of Next-Generation Sequencing data for stratified medicine.
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Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - Sebastian Pirmann
- Computational Oncology Group, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
- Center for Molecular Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden.
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
- University of Tübingen, Tübingen, Germany.
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2
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Kingsmore SF, Smith LD, Kunard CM, Bainbridge M, Batalov S, Benson W, Blincow E, Caylor S, Chambers C, Del Angel G, Dimmock DP, Ding Y, Ellsworth K, Feigenbaum A, Frise E, Green RC, Guidugli L, Hall KP, Hansen C, Hobbs CA, Kahn SD, Kiel M, Van Der Kraan L, Krilow C, Kwon YH, Madhavrao L, Le J, Lefebvre S, Mardach R, Mowrey WR, Oh D, Owen MJ, Powley G, Scharer G, Shelnutt S, Tokita M, Mehtalia SS, Oriol A, Papadopoulos S, Perry J, Rosales E, Sanford E, Schwartz S, Tran D, Reese MG, Wright M, Veeraraghavan N, Wigby K, Willis MJ, Wolen AR, Defay T. A genome sequencing system for universal newborn screening, diagnosis, and precision medicine for severe genetic diseases. Am J Hum Genet 2022; 109:1605-1619. [PMID: 36007526 PMCID: PMC9502059 DOI: 10.1016/j.ajhg.2022.08.003] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/01/2022] [Indexed: 12/31/2022] Open
Abstract
Newborn screening (NBS) dramatically improves outcomes in severe childhood disorders by treatment before symptom onset. In many genetic diseases, however, outcomes remain poor because NBS has lagged behind drug development. Rapid whole-genome sequencing (rWGS) is attractive for comprehensive NBS because it concomitantly examines almost all genetic diseases and is gaining acceptance for genetic disease diagnosis in ill newborns. We describe prototypic methods for scalable, parentally consented, feedback-informed NBS and diagnosis of genetic diseases by rWGS and virtual, acute management guidance (NBS-rWGS). Using established criteria and the Delphi method, we reviewed 457 genetic diseases for NBS-rWGS, retaining 388 (85%) with effective treatments. Simulated NBS-rWGS in 454,707 UK Biobank subjects with 29,865 pathogenic or likely pathogenic variants associated with 388 disorders had a true negative rate (specificity) of 99.7% following root cause analysis. In 2,208 critically ill children with suspected genetic disorders and 2,168 of their parents, simulated NBS-rWGS for 388 disorders identified 104 (87%) of 119 diagnoses previously made by rWGS and 15 findings not previously reported (NBS-rWGS negative predictive value 99.6%, true positive rate [sensitivity] 88.8%). Retrospective NBS-rWGS diagnosed 15 children with disorders that had been undetected by conventional NBS. In 43 of the 104 children, had NBS-rWGS-based interventions been started on day of life 5, the Delphi consensus was that symptoms could have been avoided completely in seven critically ill children, mostly in 21, and partially in 13. We invite groups worldwide to refine these NBS-rWGS conditions and join us to prospectively examine clinical utility and cost effectiveness.
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Affiliation(s)
- Stephen F Kingsmore
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA; Keck Graduate Institute, Claremont, CA 91711, USA.
| | - Laurie D Smith
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Matthew Bainbridge
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Sergey Batalov
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Wendy Benson
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Eric Blincow
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Sara Caylor
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Christina Chambers
- Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Yan Ding
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Katarzyna Ellsworth
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Annette Feigenbaum
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA; Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Erwin Frise
- Fabric Genomics, Inc., Oakland, CA 94612, USA
| | - Robert C Green
- Mass General Brigham, Broad Institute, Ariadne Labs and Harvard Medical School, Boston, MA 02115, USA
| | - Lucia Guidugli
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Christian Hansen
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Charlotte A Hobbs
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Mark Kiel
- Genomenon Inc., Ann Arbor, MI 48108, USA
| | - Lucita Van Der Kraan
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Yong H Kwon
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Lakshminarasimha Madhavrao
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Jennie Le
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Rebecca Mardach
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA; Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | | | - Danny Oh
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Mallory J Owen
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Gunter Scharer
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Mari Tokita
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - Albert Oriol
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | | | - James Perry
- Rady Children's Hospital, San Diego, CA 92123, USA; Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Edwin Rosales
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Erica Sanford
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Duke Tran
- Illumina, Inc., San Diego, CA 92122, USA
| | | | - Meredith Wright
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Narayanan Veeraraghavan
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA
| | - Kristen Wigby
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA; Rady Children's Hospital, San Diego, CA 92123, USA; Department of Pediatrics, University of California San Diego, San Diego, CA 92093, USA
| | - Mary J Willis
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | | | - Thomas Defay
- Alexion, Astra Zeneca Rare Disease, Boston, MA 02210, USA
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Karlsson L, de Paula Michelatto D, Lusa ALG, D'Almeida Mgnani Silva C, Östberg LJ, Persson B, Guerra-Júnior G, Valente de Lemos-Marini SH, Baldazzi L, Menabó S, Balsamo A, Greggio NA, Palandi de Mello M, Barbaro M, Lajic S. Novel non-classic CYP21A2 variants, including combined alleles, identified in patients with congenital adrenal hyperplasia. Clin Biochem 2019; 73:50-56. [PMID: 31344365 DOI: 10.1016/j.clinbiochem.2019.07.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/19/2019] [Accepted: 07/19/2019] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Congenital adrenal hyperplasia (CAH) is an inborn error of metabolism and a common disorder of sex development where >90% of all cases are due to 21-hydroxylase deficiency. Novel and rare pathogenic variants account for 5% of all clinical cases. Here, we sought to investigate the functional and structural effects of four novel (p.Val358Ile, p.Arg369Gln, p.Asp377Tyr, and p.Leu461Pro) and three combinations of CYP21A2 variants (i.e. one allele containing two variants p.[Ile172Asn;Val358Ile], p.[Val281Leu;Arg369Gln], or p.[Asp377Tyr;Leu461Pro]) identified in patients with CAH. METHODS All variants were reconstructed by in vitro site-directed mutagenesis, the proteins were transiently expressed in COS-1 cells and enzyme activities directed toward the two natural substrates (17-hydroxyprogesterone and progesterone) were determined. In parallel, in silico prediction of the pathogenicity of the variants based on the human CYP21 X-ray structure was performed. RESULTS The novel variants, p.Val358Ile, p.Arg369Gln, p.Asp377Tyr, and p.Leu461Pro exhibited residual enzymatic activities within the range of non-classic (NC) CAH variants (40-82%). An additive effect on the reduction of enzymatic activity (1-17%) was observed when two variants were expressed together, as identified in several patients, resulting in either NC or more severe phenotypes. In silico predictions were in line with the in vitro data except for p.Leu461Pro. CONCLUSIONS Altogether, the combination of clinical data, in silico prediction, and data from in vitro studies are important for establishing a correct genotype and phenotype correlation in patients with CAH.
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Affiliation(s)
- Leif Karlsson
- Department of Women's and Children's Health, Karolinska Institutet, Pediatric Endocrinology Unit (Q2:08), Karolinska University Hospital, Stockholm, Sweden
| | - Débora de Paula Michelatto
- Department of Women's and Children's Health, Karolinska Institutet, Pediatric Endocrinology Unit (Q2:08), Karolinska University Hospital, Stockholm, Sweden; Laboratório de Genética Molecular Humana, Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Ana Letícia Gori Lusa
- Laboratório de Genética Molecular Humana, Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | | | - Linus J Östberg
- Science for Life Laboratory and eSSENCE, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Bengt Persson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Gil Guerra-Júnior
- Departamento de Pediatria, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | | | - Lilia Baldazzi
- Department of Woman, Child and Urological Diseases, Centre for Rare Endocrine Conditions (CARENDO BO; Endo-ERN), S.Orsola-Malpighi University Hospital, Bologna, Italy
| | - Soara Menabó
- Department of Woman, Child and Urological Diseases, Centre for Rare Endocrine Conditions (CARENDO BO; Endo-ERN), S.Orsola-Malpighi University Hospital, Bologna, Italy
| | - Antonio Balsamo
- Department of Woman, Child and Urological Diseases, Centre for Rare Endocrine Conditions (CARENDO BO; Endo-ERN), S.Orsola-Malpighi University Hospital, Bologna, Italy
| | - Nella Augusta Greggio
- Department of Women's and Children's Health of Padua, Pediatric Endocrinology Unit, Italy
| | - Maricilda Palandi de Mello
- Laboratório de Genética Molecular Humana, Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Michela Barbaro
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Center for Inherited Metabolic Diseases (CMMS L7:05), Karolinska University Hospital, Stockholm, Sweden
| | - Svetlana Lajic
- Department of Women's and Children's Health, Karolinska Institutet, Pediatric Endocrinology Unit (Q2:08), Karolinska University Hospital, Stockholm, Sweden.
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Simonetti L, Bruque CD, Fernández CS, Benavides-Mori B, Delea M, Kolomenski JE, Espeche LD, Buzzalino ND, Nadra AD, Dain L. CYP21A2 mutation update: Comprehensive analysis of databases and published genetic variants. Hum Mutat 2017; 39:5-22. [PMID: 29035424 DOI: 10.1002/humu.23351] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 09/20/2017] [Accepted: 10/02/2017] [Indexed: 12/31/2022]
Abstract
Congenital adrenal hyperplasia (CAH) is a group of autosomal recessive disorders of adrenal steroidogenesis. Disorders in steroid 21-hydroxylation account for over 95% of patients with CAH. Clinically, the 21-hydroxylase deficiency has been classified in a broad spectrum of clinical forms, ranging from severe or classical, to mild late onset or non-classical. Known allelic variants in the disease causing CYP21A2 gene are spread among different sources. Until recently, most variants reported have been identified in the clinical setting, which presumably bias described variants to pathogenic ones, as those found in the CYPAlleles database. Nevertheless, a large number of variants are being described in massive genome projects, many of which are found in dbSNP, but lack functional implications and/or their phenotypic effect. In this work, we gathered a total of 1,340 GVs in the CYP21A2 gene, from which 899 variants were unique and 230 have an effect on human health, and compiled all this information in an integrated database. We also connected CYP21A2 sequence information to phenotypic effects for all available mutations, including double mutants in cis. Data compiled in the present work could help physicians in the genetic counseling of families affected with 21-hydroxylase deficiency.
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Affiliation(s)
| | - Carlos D Bruque
- Centro Nacional de Genética Médica, ANLIS, Buenos Aires, Argentina.,Instituto de Biología y Medicina Experimental, CONICET, Buenos Aires, Argentina
| | | | | | - Marisol Delea
- Centro Nacional de Genética Médica, ANLIS, Buenos Aires, Argentina
| | - Jorge E Kolomenski
- Instituto de Biología y Medicina Experimental, CONICET, Buenos Aires, Argentina
| | - Lucía D Espeche
- Centro Nacional de Genética Médica, ANLIS, Buenos Aires, Argentina
| | | | - Alejandro D Nadra
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, IQUIBICEN-CONICET, Buenos Aires, Argentina.,Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Liliana Dain
- Centro Nacional de Genética Médica, ANLIS, Buenos Aires, Argentina.,Instituto de Biología y Medicina Experimental, CONICET, Buenos Aires, Argentina.,Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
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