Discovering novel germline genetic variants linked to severe fluoropyrimidine-related toxicity in- and outside DPYD.

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY Genome Medicine Pub Date : 2024-08-15 DOI:10.1186/s13073-024-01354-z
Jonathan E Knikman, Qinglian Zhai, Carin A T C Lunenburg, Linda M Henricks, Stefan Böhringer, Maaike van der Lee, Femke M de Man, Steven M Offer, Shikshya Shrestha, Geert-Jan Creemers, Arnold Baars, Vincent O Dezentjé, Alexander L T Imholz, Frank J F Jeurissen, Johanna E A Portielje, Rob L H Jansen, Paul Hamberg, Helga J Droogendijk, Miriam Koopman, Peter Nieboer, Marlène H W van de Poel, Caroline M P W Mandigers, Ron H N van Schaik, Hans Gelderblom, Ron H J Mathijssen, Jan H M Schellens, Annemieke Cats, Henk-Jan Guchelaar, Jesse J Swen
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Abstract

Background: The Alpe-DPD study (NCT02324452) demonstrated that prospective genotyping and dose-individualization using four alleles in DPYD (DPYD*2A/rs3918290, c.1236G > A/rs75017182, c.2846A > T/rs67376798 and c.1679 T > G/rs56038477) can mitigate the risk of severe fluoropyrimidine toxicity. However, this could not prevent all toxicities. The goal of this study was to identify additional genetic variants, both inside and outside DPYD, that may contribute to fluoropyrimidine toxicity.

Methods: Biospecimens and data from the Alpe-DPD study were used. Exon sequencing was performed to identify risk variants inside DPYD. In silico and in vitro analyses were used to classify DPYD variants. A genome-wide association study (GWAS) with severe fluoropyrimidine-related toxicity was performed to identify variants outside DPYD. Association with severe toxicity was assessed using matched-pair analyses for the exon sequencing and logistic, Cox, and ordinal regression analyses for GWAS.

Results: Twenty-four non-synonymous, frameshift, and splice site DPYD variants were detected in ten of 986 patients. Seven of these variants (c.1670C > T, c.1913 T > C, c.1925 T > C, c.506delC, c.731A > C, c.1740 + 1G > T, c.763 - 2A > G) were predicted to be deleterious. The carriers of either of these variants showed a trend towards a 2.14-fold (95% CI, 0.41-11.3, P = 0.388) increased risk of severe toxicity compared to matched controls (N = 30). After GWAS of 942 patients, no individual single nucleotide polymorphisms achieved genome-wide significance (P ≤ 5 × 10-8), however, five variants were suggestive of association (P < 5 × 10-6) with severe toxicity.

Conclusions: Results from DPYD exon sequencing and GWAS analysis did not identify additional genetic variants associated with severe toxicity, which suggests that testing for single markers at a population level currently has limited clinical value. Identifying additional variants on an individual level is still promising to explain fluoropyrimidine-related severe toxicity. In addition, studies with larger samples sizes, in more diverse cohorts are needed to identify potential clinically relevant genetic variants related to severe fluoropyrimidine toxicity.

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发现与 DPYD 内外严重氟嘧啶相关毒性有关的新型种系遗传变异。
研究背景Alpe-DPD研究(NCT02324452)表明,使用DPYD的四种等位基因(DPYD*2A/rs3918290、c.1236G > A/rs75017182, c.2846A > T/rs67376798 和c.1679 T > G/rs56038477)进行前瞻性基因分型和剂量个体化可降低氟嘧啶严重毒性的风险。然而,这并不能预防所有的毒性。本研究的目的是确定 DPYD 内部和外部可能导致氟嘧啶毒性的其他遗传变异:方法:采用 Alpe-DPD 研究的生物样本和数据。方法:使用生物样本和来自 Alpe-DPD 研究的数据,进行外显子测序以确定 DPYD 内部的风险变异。采用硅学和体外分析对 DPYD 变异进行分类。对氟嘧啶相关的严重毒性进行了全基因组关联研究(GWAS),以确定 DPYD 以外的变异。外显子测序采用配对分析,全基因组关联研究采用逻辑分析、Cox分析和序数回归分析,评估了变异与严重毒性的关系:在 986 例患者中有 10 例检测到 24 个非同义、框移和剪接位点 DPYD 变异。其中 7 个变异(c.1670C > T、c.1913 T > C、c.1925 T > C、c.506delC、c.731A > C、c.1740 + 1G > T、c.763 - 2A > G)被认为是有害的。与匹配的对照组(N = 30)相比,这些变异的携带者发生严重毒性的风险有增加 2.14 倍(95% CI,0.41-11.3,P = 0.388)的趋势。在对942名患者进行GWAS后,没有单个单核苷酸多态性达到全基因组显著性(P≤5×10-8),但有5个变异与严重毒性有提示性关联(P -6):结论:DPYD外显子测序和GWAS分析结果并未发现与严重毒性相关的其他遗传变异,这表明目前在人群水平上检测单一标记物的临床价值有限。在个体水平上发现更多变体仍有望解释氟嘧啶相关的严重毒性。此外,还需要在更多样化的队列中进行样本量更大的研究,以确定与氟嘧啶类药物严重毒性相关的潜在临床相关遗传变异。
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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