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

AI Article Synopsis

  • The study focuses on monogenic hypertension, a type of high blood pressure with genetic causes, and evaluates the effectiveness of genetic screening and protein analysis in diagnosing these conditions.
  • Researchers analyzed 1179 hypertensive individuals from the Chinese Han population, identifying 21 pathogenic gene variants and 27 variants of unknown significance linked to abnormal protein levels, raising diagnostic yield significantly.
  • Findings indicate that primary aldosteronism and pheochromocytoma/paraganglioma are key causes of monogenic hypertension, demonstrating the benefits of combining genetic testing with functional protein analysis for better diagnosis.

Article Abstract

Background: Monogenic 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.

Methods: We 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.

Results: 21 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%).

Conclusion: Molecular 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418625PMC
http://dx.doi.org/10.1136/jmedgenet-2019-106145DOI Listing

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