| Literature DB >> 35140681 |
Mirjana Kocova1, Paola Concolino2, Henrik Falhammar3,4.
Abstract
Substantial research has been performed during the last decades on the clinical and genetic variability of congenital adrenal hyperplasia (CAH) and its most common form, 21-hydroxylase deficiency (21OHD). CAH is one of the most prevalent autosomal recessive diseases in humans, and it can be divided into classic-further subdivided into salt wasting (SW) and simple virilizing (SV)-and non-classic (NC) forms. Pathogenic variants of CYP21A2 gene, encoding the 21-hydroxylase enzyme, have been reported with variable prevalence in different populations. NM_000500.9:c.293-13C/A>G (In2G) variant represents the most common CYP21A2 gene changes related to the classic 21OHD form. However, the phenotype of In2G carriers is variable depending on the variant homozygous/heterozygous status and combination with other CYP21A2 pathogenic variants. In addition, identical genotypes, harboring the homozygous In2G variant, can present with variable phenotypes including the SW and SV or rarely NC form of the disease. Here, we analyze and present the clinical aspects, genotype/phenotype correlations, and other characteristics related to the CYP21A2 In2G variant.Entities:
Keywords: CAH; CYP21A2; c.293-13C/A>G; genetic counselling; splicing variant
Mesh:
Substances:
Year: 2022 PMID: 35140681 PMCID: PMC8818746 DOI: 10.3389/fendo.2021.788812
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Effect of the c.293-13C/A>G variant on splicing. The c.293-13C/A>G variant, at a −13 position before the end of intron 2, creates an additional splice acceptor site, causing aberrant splicing of intron 2 with retention of 19 intronic nucleotides. This causes a frameshift in the following third exon to generate a stop codon after 107 amino acids, resulting in the production of a truncated protein.
Prevalence of In2G variant in different countries.
| Country | In2G (%) | No. of alleles | Reference |
|---|---|---|---|
| Argentina | 35.2 | 866 | ( |
| Austria+Germany | 29.2 | 1,320 | ( |
| Brazil | 21.1 | 856 | ( |
| Chile | 5.3 | 38 | ( |
| China | 35 | 460 | ( |
| Czech Republic | 45.4 | 174 | ( |
| Croatia | 34.9 | 186 | ( |
| Cuba | 24.5 | 110 | ( |
| Denmark | 33.8 | 136 | ( |
| France | 10.9 | 247 | ( |
| Finland | 9.6 | 156 | ( |
| Greece | 29.3 | 222 | ( |
| Italy | 21.1 | 114 | ( |
| India | 48 | 124 | ( |
| Iran | 14.7 | 88 | ( |
| Japan | 26.5 | 136 | ( |
| Turkey | 22 | 112 | ( |
| Mexico | 47.9 | 94 | ( |
| Netherlands | 28.1 | 370 | ( |
| North Macedonia | 60.4 | 48 | ( |
| Rome population | 95 | 20 | ( |
| Romania | 43.9 | 86 | ( |
| Serbia | 18.5 | 122 | ( |
| Spain | 17.5 | 354 | ( |
| Sweden | 26.6 | 400 | ( |
| United Kingdom | 30.3 | 284 | ( |
| United States | 22.9 | 3,005 | ( |
| Mid-Europe | 31.2 | 864 | ( |