2019
DOI: 10.1007/s11910-019-0986-z
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MYORG Mutations: a Major Cause of Recessive Primary Familial Brain Calcification

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Cited by 15 publications
(9 citation statements)
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“…Our previous study suggests that mutations of MYORG are the main cause of autosomal recessive PFBC (Yao et al, 2018). To date, more than 50 variants associated with PFBC have been reported in different ethnic populations, further confirming the pathogenicity of MYORG mutations (Bauer et al, 2019;Westenberger et al, 2019). In this study, we identified four novel variants of MYORG including two missense variants and two nonsense variants in four sporadic cases.…”
Section: Discussionsupporting
confidence: 70%
“…Our previous study suggests that mutations of MYORG are the main cause of autosomal recessive PFBC (Yao et al, 2018). To date, more than 50 variants associated with PFBC have been reported in different ethnic populations, further confirming the pathogenicity of MYORG mutations (Bauer et al, 2019;Westenberger et al, 2019). In this study, we identified four novel variants of MYORG including two missense variants and two nonsense variants in four sporadic cases.…”
Section: Discussionsupporting
confidence: 70%
“…The Fmod protein regulates the expression of atrophy-related genes to alleviate muscle atrophy by regulating the TGF signaling pathway 25 , 26 . In contrast, myogenesis regulating glycosidase (MYORG) is a glycosidase that has an important role in myoblast differentiation and is involved in movement disorders and cognitive impairment 27 , 28 . On the other hand, PGS2 (decorin) is important for maintenance of glucose tolerance, and PGS2 knockout decreased glucose tolerance 29 .…”
Section: Resultsmentioning
confidence: 99%
“…Co-evolution across the tree of life can predict proteins that are associated with the same function, share common pathways, and contribute to corresponding diseases ( Tabach et al., 2013a , 2013b ; Omar et al., 2018 ; Arkadir et al., 2019 ; Bauer et al., 2019 ; Sherill-Rofe et al., 2019 ). To map the proteins that co-evolved with ACE2, we generated an extensive database of 1,671 eukaryotic proteomes and identified the set of genes that showed similar phylogenetic profiles to ACE2 ( Figures 2 A and S3 ).…”
Section: Resultsmentioning
confidence: 99%