利用结构化电子健康记录数据,基于外显子组的基因型优先反向表型鉴定出与肝脏标志物相关的新型SERPINA1变异,并证明了特定变异对肝脏表型的显性影响。

IF 3.4 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Maël Silva Rodriguez, Margaux Mulot, Céline Chéry, Mouni Bensenane, Rosa-Maria Guéant-Rodriguez, Roland Jaussaud, Aurélie Cobat, François Feillet, Jean-Pierre Bronowicki, Farès Namour, Jean-Louis Guéant, Abderrahim Oussalah
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引用次数: 0

摘要

目的:尽管已经报道了几种SERPINA1遗传变异通过表型驱动方法诱导肝脏疾病的致病性,但关于SERPINA1位点基因型驱动方法的数据仍然不可用。本研究旨在描述携带非良性SERPINA1变异的患者的临床和肝脏生物学特征。方法:我们对2015年1月1日至2022年1月31日连续患者的结构化电子健康记录数据进行了一项回顾性、基于外显子组的基因型优先反向表型研究。使用频率模型和贝叶斯模型评估统计关联,并在英国生物银行队列中进行验证。结果:在分析的1377例患者中,217例(15.7%)患者中鉴定出15种SERPINA1非良性变异。126例患者(中位年龄41.5岁;52.4%的男性)。肝病、高铁素血症和肺气肿分别占32.5%(41/126)、23%(29/126)和5.6%(7/126)。中位随访时间为1.3年,包括1085项生物学观察。我们证实了与SERPINA1变体(p.Glu366Lys, p.Pro393Ser, p.Ala308Ser, p.Glu288Val和p.Phe76del)的关联。我们发现了三个新的与肝脏标志物的遗传关联:c.*10G > A, c.1065 + 10C > T和p.Arg63Cys。英国生物银行的数据证实了显著的基因和变异水平的关联,特别是在我们的研究中发现的变异,在统计关联中排名前十分之一。结论:本研究支持基因型优先方法在表征非良性SERPINA1变异的肝脏表现方面的效用。这些发现强调了新的基因型-生物标志物关联,并提示SERPINA1基因检测在不明原因肝脏异常患者中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exome-based genotype-first reverse phenotyping using structured electronic health record data identifies novel SERPINA1 variants associated with liver markers and demonstrates a dominant effect for specific variants on liver phenotype

Exome-based genotype-first reverse phenotyping using structured electronic health record data identifies novel SERPINA1 variants associated with liver markers and demonstrates a dominant effect for specific variants on liver phenotype

Aim

Although several SERPINA1 genetic variants have been reported for their pathogenicity to induce liver disorders through phenotype-driven approaches, data regarding genotype-driven approaches of the SERPINA1 locus remain unavailable. This study aimed to characterize the clinical and liver biological profiles of patients harboring nonbenign SERPINA1 variants.

Methods

We conducted a retrospective, exome-based genotype-first reverse phenotyping study using structured electronic health record data from consecutive patients from January 1, 2015, to January 31, 2022. Statistical associations were assessed using frequentist and Bayesian models, with validation in the UK Biobank cohort.

Results

Among 1377 patients analyzed, 15 SERPINA1 variants classified as nonbenign were identified in 217 (15.7%) patients. Data were available for 126 patients (median age, 41.5 years; 52.4% male). Liver disease, hyperferritinemia, and pulmonary emphysema were observed in 32.5% (41/126), 23% (29/126), and 5.6% (7/126) of the patients, respectively. The median follow-up duration was 1.3 years and encompassed 1085 biological observations. We confirmed associations with well-documented variants of SERPINA1 (p.Glu366Lys, p.Pro393Ser, p.Ala308Ser, p.Glu288Val, and p.Phe76del). We identified three novel genetic associations with liver markers: c.*10G > A, c.1065 + 10C > T, and p.Arg63Cys. The UK Biobank data confirmed significant gene- and variant-level associations, notably for the variants identified in our study, which ranked in the top decile of statistical associations.

Conclusions

This study supports the utility of a genotype-first approach in characterizing hepatic manifestations of nonbenign SERPINA1 variants. The findings highlight novel genotype–biomarker associations and suggest a role for SERPINA1 genetic testing in patients with unexplained liver abnormalities.

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来源期刊
Hepatology Research
Hepatology Research 医学-胃肠肝病学
CiteScore
8.30
自引率
14.30%
发文量
124
审稿时长
1 months
期刊介绍: Hepatology Research (formerly International Hepatology Communications) is the official journal of the Japan Society of Hepatology, and publishes original articles, reviews and short comunications dealing with hepatology. Reviews or mini-reviews are especially welcomed from those areas within hepatology undergoing rapid changes. Short communications should contain concise definitive information.
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