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Genetic Homozygosity in a Diverse Population: An Experience of Long Qt Syndrome Publisher Pubmed



Mahdieh N1, 2 ; Khorgami M1 ; Soveizi M1 ; Seyed Aliakbar S1 ; Dalili M1 ; Rabbani B1, 2
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Authors Affiliations
  1. 1. Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
  2. 2. Growth and development research center, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal of Cardiology Published:2020


Abstract

Background: Genomic variations have shown an ethnic-specific pattern within various cohorts. Genetic variants of KCNQ1, KCNH2, SCN5A and KCNE1 causing LQT syndrome have been described in many populations. In this article the spectrum of variants of these genes is presented in Iranian patients. Methods: 102 unrelated individuals diagnosed with LQT were enrolled in this study. Clinical and electrocardiogram (ECG) data of 95 patients were documented, and analyzed by expert pediatric cardiologists. Coding regions and exon-intron boundaries were amplified and sequenced. Segregation analysis was done for novel variants as well as in silico analyses. Results: Sixty nine of 95 cases (73%) had Schwartz score of ≥3.5. The causal variants were found in 31 cases (9 novel variants). 21 patients had KCNQ1 (LQTS1) of which15 patients were homozygous for KCNQ1 variants, 9 of these patients (29%) had a Jervell and Lange-Nielsen phenotype. 4 patients had KCNH2 (LQTS2) variants, 7 cases had SCN5A had heterozygous variants, and 2 cases had heterozygous variants in KCNE1 (LQTS5). 19 variants were missense, 3 were nonsense, and 3 were frameshifts. There was one large deletion and 3 intronic variants. Conclusion: The yield of genetic testing and the genotype profile of LQTS patients in Iran is different from reports elsewhere, with lower overall yield and with 48% having homozygous states. © 2020 Elsevier B.V.
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