Dataset Information

Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report.

ABSTRACT: Monomelic Amyotrophy (MMA) is a rare neurological disorder restricted to one upper limb, predominantly affecting young males with an unknown aetiopathogenesis. We report a familial case of father-son duo affected by MMA. Whole exome sequencing identified genetic variations in SLIT1, RYR3 and ARPP21 involved in axon guidance, calcium homeostasis and regulation of calmodulin signaling respectively. This is the first attempt to define genetic modifiers associated with MMA from India and advocates to extend genetic screening to a larger cohort. Deciphering the functional consequences of variations in these genes will be crucial for unravelling the pathogenesis of MMA.

SUBMITTER: Khurana S

PROVIDER: S-EPMC10789418 | biostudies-literature | 2023 Nov-Dec

REPOSITORIES: biostudies-literature

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Publications

Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report.

Khurana Shiffali S Vats Abhishek A Gourie-Devi Mandaville M Sharma Ankkita A Verma Sagar S Faruq Mohammed M Dhawan Uma U Taneja Vibha V

Annals of Indian Academy of Neurology 20230927 6

Monomelic Amyotrophy (MMA) is a rare neurological disorder restricted to one upper limb, predominantly affecting young males with an unknown aetiopathogenesis. We report a familial case of father-son duo affected by MMA. Whole exome sequencing identified genetic variations in SLIT1, RYR3 and ARPP21 involved in axon guidance, calcium homeostasis and regulation of calmodulin signaling respectively. This is the first attempt to define genetic modifiers associated with MMA from ...[more]

PMID: 38229655

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Project description:Rapidly mutating Y-STRs (RM Y-STRs) harbor great potential to distinguish male relatives and achieve male identification. However, forensic applications were greatly limited by the small number of the initially identified 14 RM Y-STRs. Recently, with the emergence of 12 novel RM Y-STRs, an integrated panel named RMplex was introduced, which contains all 26 RM Y-STRs and four fast mutating Y-STRs (FM Y-STRs). To obtain the first data on the mutation rates and father-son differentiation rates of the 30 newly proposed Y-STRs in Chinese populations, we performed an empirical mutation study on 307 DNA-confirmed Chinese paternal pairs. Previously reported mutation rates for 14 RM Y-STRs in Chinese and European populations were pooled and merged with our data. The highest meiosis number for the two groups reached 4771 and 2687, respectively. Five loci showed significant differences between the populations (DYS570, DYS399S1, DYS547, DYS612, and DYF403S1b). For the new panel covering 30 Y-STR loci, our results show extensive differences in the mutation rates between the two populations, as well. 10 RM Y-STR loci showed relatively low mutation rates (10-3-10-2 per meiosis) and 2 FM Y-STR loci had rapid mutation rates (> 10-2 per meiosis) in the Chinese population. Several-fold differences in mutation rates were found in nine Y-STR loci between the Chinese and reference populations, with two loci having significantly higher mutation rates and one locus with a significantly lower mutation rate in the Chinese population (P < 0.05). Eighteen RM Y-STRs (> 10-2 per meiosis), 8 FM Y-STR loci (5×10-3-10-2 per meiosis), 3 moderately mutating Y-STRs (MM Y-STRs, 10-3-5×10-3 per meiosis), and one locus with no observed mutation events were identified in the Chinese population. 40.06% of the Chinese paternity pairs were discriminated with RMplex while only 20.84% with the initial 14 RM Y-STRs, indicating that RMplex is beneficial for distinguishing paternally related males. Future studies on populations of different genetic backgrounds are necessary to obtain comprehensive estimates of mutation rates at these new loci.

Dataset Information

Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report.

Publications

Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report.

Similar Datasets

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