Evidence map›Paper›PMID 32561571›Full record

ArticleJournal of medical genetics2020

Genetic screening for monogenic hypertension in hypertensive individuals in a clinical setting.

Minghui Bao, Ping Li, Qifu Li, Hui Chen, Ying Zhong, Shuangyue Li, Ling Jin, Wenjie Wang, Zhenzhen Chen, Jiuchang Zhong and 4 more

Abstract read
In one paragraph

Article in Journal of medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Hypertension (Dallas, Tex. : 1979) · 2023
    Article
  5. CACNA1D-Related Channelopathies: From Hypertension to Autism.Handbook of experimental pharmacology · 2023
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Minghui BaoDepartment of Cardiology, Peking University First Hospital, Peking University, Beijing, China.
Ping LiDepartment of Cardiovascular Medicine, Nanchang University Second Affiliated Hospital, Nanchang, China.
Qifu LiDepartment of Endocrinology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Hui ChenDepartment of Internal Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Ying ZhongNovogene Science and Technology Co., Ltd, Beijing, China.
Shuangyue LiHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ling JinHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wenjie WangHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhenzhen ChenHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jiuchang ZhongHeart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, China.
Bin GengHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuxin FanThe John Welsh Cardiovascular Diagnostic Laboratory, Baylor College of Medicine, Houston, Texas, USA.
Xinchun YangHeart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, China.
Jun CaiHypertension Center of Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China caijun@fuwaihospital.org.ORCID 0000-0003-3458-983X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonogenic hypertension describe a series of hypertensive syndromes that are inherited by Mendelian laws. Sometimes genetic testing is required to provide evidence for their diagnoses, precise classification and targeted treatment. This study is the first to investigate the clinical utility of a causative gene screening and the combined yield of gene product expression analyses in cases with suspected monogenic hypertension.

methodsWe performed a large-scale multi-centre clinical genetic research of 1179 expertly selected hypertensive individuals from the Chinese Han population. Targeted sequencing were performed to evaluate 37 causative genes of potential cases of monogenic hypertension. Pathogenic and likely pathogenic variants were classified using the American College of Medical Genetics guidelines. Additionally, 49 variants of unknown significance (VUS) that had relatively high pathogenicity were selected and analysed using immunoblot protein expression assays.

results21 pathogenic or likely pathogenic variants were identified in 33 of 1179 cases (2.80%). Gene product expression analyses showed 27 VUSs harboured by 49 individuals (4.16%) could lead to abnormally expressed protein levels. Consequently, combining genetic screening with gene product expression analyses increased the diagnostic yield from 2.80% to 6.79%. The main aetiologies established were primary aldosteronism (PA; 27, 2.29%) and pheochromocytoma and paraganglioma (PPGL; 10, 0.85%).

conclusionMolecular diagnoses obtained using causative gene screening combined with gene product expression analyses initially achieved a modest diagnostic yield. Our data highlight the predominant roles of PA and PPGL. Furthermore, we provide evidence indicating the enhanced diagnostic ability of combined genetic and functional evaluation.

Indexed as

Genetic TestingHigh-Throughput Nucleotide SequencingAdultFemaleGenetic Diseases, InbornHumansHyperaldosteronismHypertensionMaleParagangliomaPheochromocytomaclinical geneticsdiagnosisgenetic screening/counsellinghypertension

Identifiers

PMID32561571
PMCPMC7418625

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.