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Biomedical subjects

G Meng

Publications and source records attributed to G Meng.

59 records · Page 4Linked to original sources
PubMed1989

The molecular basis for Duchenne versus Becker muscular dystrophy: correlation of severity with type of deletion.

About 60% of both Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) is due to deletions of the dystrophin gene. For cases with a deletion mutation, the "reading frame" hypothesis predicts that BMD patients produce a semifunctional, internally deleted dystrophin protein, whereas DMD patients produce a severely truncated protein that would be unstable. To test the validity of this theory, we analyzed 258 independent deletions at the DMD/BMD locus. The correlation between phenotype and type of deletion mutation is in agreement with the "reading frame" theory in 92% of cases and is of diagnostic and prognostic significance. The distribution and frequency of deletions spanning the entire locus suggests that many "in-frame" deletions of the dystrophin gene are not detected because the individuals bearing them are either asymptomatic or exhibit non-DMD/non-BMD clinical features.

Adolescent↗
PubMed1989

Hot spot of recombination within DXS164 in the Duchenne muscular dystrophy gene.

The DMD gene, which spans more than 2,000 kbp, has been assigned to band Xp21 of the X chromosome. Two subclones (PERT 87-1 and PERT 87-15) of the intragenic locus DXS164 physically are separated by approximately 60 kbp. Linkage studies were done in 49 informative DMD families by using the LINKAGE program. Crossing-over between the loci studied occurred in four families. A recombination rate of 4% (support interval [Zmax-1] 1%-10%), which was 54 (support interval 14-135-fold) times higher than expected, was found with a maximum lod score of 13.50. These data suggest a hot spot for recombination within DXS164.

Alleles↗
PubMedDate not supplied

Mapping undetected mutations within a gene-evidence for two preferential regions in the DMD gene.

A maximum-likelihood method is developed to estimate the frequency distribution of undetected mutations (presumably point mutations, small deletions, insertions) along a gene, where the gene extends over a long stretch of DNA. In each family, the point of the mutation is potentially at a different location within the gene. In this sense, there is genetic heterogeneity among families and the method estimates the proportion of families whose mutation is at (or in the vicinity of) a given point inside the gene. Our method is applied to a sample of 75 families with Duchenne muscular dystrophy in which the disease mutation remained undetected. We find two preferential regions for these undetected mutations, with an estimated 85% of families having their mutation in one region and the remaining 15% of families in the other. The new method is expected to be useful in finding small mutations in any of the currently known large genes.

Chromosome Mapping↗