BACKGROUND: Most congenital adrenal hyperplasia (CAH) patients carry CYP21A2 mutations derived from conversion events involving the pseudogene, and the remaining carry new mutations. OBJECTIVE: To review causal mutations and genotype-phenotype correlation in 480 Brazilian patients. METHODS: DNA was extracted from 158 salt-wasters (SWs), 116 simple virilizing (SV), and 206 nonclassical (NC) patients. Fourteen point mutations were screened by allele-specific PCR, large rearrangements by Southern blotting/MLPA, and sequencing was performed in those with incomplete genotype. The gene founder effect was analyzed by microsatellite studies. Patients were divided into six genotypes (Null; A: <2%; B: 3-7%; C: >20% of residual enzymatic activity (EA); D: unknown EA; E: incomplete genotype). RESULTS: Targeted methodologies defined genotype in 87.6% of classical and in 80% of NC patients and the addition of sequencing in 100 and 83.5%, respectively. The most frequent mutations were p.V281L (26.6% of alleles), IVS2-13A/C>G (21.1%), and p.I172N (7.5%); seven rare mutations and one novel mutation (p.E351V) were identified. Gene founder effect was observed in all but one (p.W19X) mutation. Null, A, B, and C genotypes correlated with SW (88%), SW (70%), SV (98%), and NC forms (100%), respectively. In group D, the p.E351V mutation correlated with classical form and group E comprised exclusively NC-patients. ACTH-stimulated 17OHP level of 44.3ng/mL was the best cutoff to identify NC-patients carrying severe mutations. CONCLUSIONS: We identified a good genotype-phenotype correlation in CAH, providing useful data regarding prediction of disease's severity; moreover, we suggest that ACTH-stimulated 17OHP levels could predict carrier status for severe mutations. Sequencing is essential to optimize molecular diagnosis in Brazilian CAH patients.
BACKGROUND: Most congenital adrenal hyperplasia (CAH) patients carry CYP21A2 mutations derived from conversion events involving the pseudogene, and the remaining carry new mutations. OBJECTIVE: To review causal mutations and genotype-phenotype correlation in 480 Brazilian patients. METHODS: DNA was extracted from 158 salt-wasters (SWs), 116 simple virilizing (SV), and 206 nonclassical (NC) patients. Fourteen point mutations were screened by allele-specific PCR, large rearrangements by Southern blotting/MLPA, and sequencing was performed in those with incomplete genotype. The gene founder effect was analyzed by microsatellite studies. Patients were divided into six genotypes (Null; A: <2%; B: 3-7%; C: >20% of residual enzymatic activity (EA); D: unknown EA; E: incomplete genotype). RESULTS: Targeted methodologies defined genotype in 87.6% of classical and in 80% of NC patients and the addition of sequencing in 100 and 83.5%, respectively. The most frequent mutations were p.V281L (26.6% of alleles), IVS2-13A/C>G (21.1%), and p.I172N (7.5%); seven rare mutations and one novel mutation (p.E351V) were identified. Gene founder effect was observed in all but one (p.W19X) mutation. Null, A, B, and C genotypes correlated with SW (88%), SW (70%), SV (98%), and NC forms (100%), respectively. In group D, the p.E351V mutation correlated with classical form and group E comprised exclusively NC-patients. ACTH-stimulated 17OHP level of 44.3ng/mL was the best cutoff to identify NC-patients carrying severe mutations. CONCLUSIONS: We identified a good genotype-phenotype correlation in CAH, providing useful data regarding prediction of disease's severity; moreover, we suggest that ACTH-stimulated 17OHP levels could predict carrier status for severe mutations. Sequencing is essential to optimize molecular diagnosis in Brazilian CAH patients.
Authors: F Elmougy; M Elsharkawy; M Hafez; S A Atty; H Baz; A Ibrahim; H Soliman; S Ekladious; M Abdullatif; G Thabet; N Rady; A Afif; A Tolba; Z Zaki; N Musa Journal: J Endocrinol Invest Date: 2020-05-01 Impact factor: 4.256
Authors: Jonathan Weber; Veeraya K Tanawattanacharoen; Amy Seagroves; Mark C Liang; Christina M Koppin; Heather M Ross; Tania A S S Bachega; Mitchell E Geffner; Monica Serrano-Gonzalez; Gagandeep Bhullar; Mimi S Kim Journal: J Clin Endocrinol Metab Date: 2022-01-01 Impact factor: 6.134
Authors: L L Iervolino; B Ferraz-de-Souza; R M Martin; F C Costa; M C Miranda; B B Mendonça; T S Bachega Journal: Osteoporos Int Date: 2020-01-02 Impact factor: 4.507
Authors: Vassos Neocleous; Pavlos Fanis; Meropi Toumba; Alexia A P Phedonos; Michalis Picolos; Elena Andreou; Tassos C Kyriakides; George A Tanteles; Christos Shammas; Leonidas A Phylactou; Nicos Skordis Journal: Int J Endocrinol Date: 2017-04-12 Impact factor: 3.257