Mutation analysis and prenatal diagnosis for 50 pedigrees affected with Duchenne/Becker muscular dystrophy / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To establish individualized prenatal diagnosis program for families affected with Duchenne/Becker muscular dystrophy (DMD/BMD) and different clinical background using a variety of methods.</p><p><b>METHODS</b>Multiplex ligation-dependent probe amplification (MLPA) was performed on 50 patients suspected for DMD/BMD. For single exon deletions of the DMD gene, PCR was used for validating the results. For those without any deletion or duplication, Sanger sequencing was used to screen for DMD gene mutations in the children and their mothers. Prenatal genetic testing was provided to female carriers using chorionic villus, amniocentesis or cord blood samples. To ensure the accuracy of diagnosis, all prenatal specimens were also subjected to linkage analysis.</p><p><b>RESULTS</b>Among the 50 patients with DMD/BMD, 23 harbored large deletions, 11 only had single exon deletions, 10 harbored duplications, and 5 had small scare mutations. No mutation was detected in one family. For 37 women undergoing prenatal diagnosis, 10 fetuses were identified as affected males, 6 were female carriers, while 21 were not found to carry any mutation. Testing of creatine kinase was consistent with the results of prenatal diagnosis. For a patient harboring exon 51 deletion, the same mutation was found in a fetus but not in their mother. The proband and fetus had inherited the same haplotype, which suggested that the mother probably has germline mosaicism for the mutation.</p><p><b>CONCLUSION</b>Application of individualized methods for analyzing pregnant women with different clinical background can minimize the risk for giving birth to further children affected with DMD/BMD.</p>

Analysis of clinical phenotypes and GJB2 gene mutations in families affected with hearing loss from southern Zhejiang / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To analyze the clinical features and pathological mutations in 44 families affected with hearing loss from southern Zhejiang, and to provide genetic counseling and prenatal diagnosis for 6 of the families.</p><p><b>METHODS</b>Microarray was employed to detect c.35delG, c.176del16, c.235delC and c.299-300delAT mutations of the GJB2 gene among 228 patients. For those carrying a single heterozygous mutation, the whole coding region of the GJB2 gene was analyzed by Sanger sequencing. For prenatal diagnosis, maternal DNA contamination was excluded by application of STR analysis.</p><p><b>RESULTS</b>The microarray assay has detected 49 patients with GJB2 mutations, which included 24 homozygous c.235delC mutations, 5 compound heterozygous c.235delC/c.176del16 mutations, 2 compound heterozygous c.235delC/c.299-300delAT mutations. Respectively, 16, 1 and 1 patients have carried single heterozygous c.235delC, c.176del16, and c.299-300delAT mutation. For the 16 patients, 7, 1, 1, 2, and 3 were detected by Sanger sequencing with a second heterozygous mutation of c.109G>A (2 of which were in conjunction with heterozygous c.176del16 and c.299-300delAT mutations), c.230G>A, c.427C>T, c.508-511 dupAACG, 79G>A+341A>G, respectively. Prenatal diagnosis revealed a compound heterozygous mutation in a fetus, heterozygous mutations in 4 fetuses, and no mutation of the GJB2 gene in 1 fetus.</p><p><b>CONCLUSION</b>The proportion of carriers for GJB2 gene mutations in patients with hearing loss from southern Zhejiang has reached 21.5%. The c.235delC, c.176del16, and compound c.299-300delAT and c.109G>A mutations can cause moderate to severe hearing loss. In most affected families, Heterozygous mutations may be identified by sequencing the whole coding region of the GJB2 gene. Genetic analysis and prenatal diagnosis can prevent birth of further affected children.</p>

Chemical QSAR recognition by using fuzzy min-max neural-network / 生物医学工程学杂志

By using the fuzzy min-max neural network, the quantitative structure-activity relationship (QSAR) of mutagenicity is studied. With the established QSAR model, the mutagenicity is predicted and the results showed that QASR is superior to linear-regression model. Further discussion on the models and the results is presented in this paper.