BACKGROUND: X-linked Adrenoleukodystrophy (X-ALD), with an incidence of 1:14,000 is the most frequent monogenic demyelinating disorder worldwide. The principal biochemical abnormality in X-ALD is the increased levels of saturated, unbranched very long chain fatty acids (VLCFA). It is caused by mutations in ABCD1 gene. No molecular data on X-ALD is available in India and mutational spectrum in Indian patients is not known. METHODS: We standardized conformation sensitive gel electrophoresis (CSGE) method to detect mutations in ABCD1 gene in twenty Indian patients with X-ALD. The results were confirmed by sequencing. Genotype-phenotype correlation was also attempted. Prenatal diagnosis (PND) in one family was done using chorionic villi (CV) sample at 12 weeks of gestation. RESULTS: Out of twenty, causative mutations could be identified in twelve patients (60%). Six reported and four novel mutations were identified. Three polymorphisms were also observed. No hot spot was found. No significant genotype-phenotype correlation could be established. CONCLUSIONS: The study identified the mutation spectrum of Indian X-ALD patients, which enabled us to offer accurate genetic counseling, carrier detection and prenatal diagnosis where needed.
BACKGROUND:X-linked Adrenoleukodystrophy (X-ALD), with an incidence of 1:14,000 is the most frequent monogenic demyelinating disorder worldwide. The principal biochemical abnormality in X-ALD is the increased levels of saturated, unbranched very long chain fatty acids (VLCFA). It is caused by mutations in ABCD1 gene. No molecular data on X-ALD is available in India and mutational spectrum in Indian patients is not known. METHODS: We standardized conformation sensitive gel electrophoresis (CSGE) method to detect mutations in ABCD1 gene in twenty Indian patients with X-ALD. The results were confirmed by sequencing. Genotype-phenotype correlation was also attempted. Prenatal diagnosis (PND) in one family was done using chorionic villi (CV) sample at 12 weeks of gestation. RESULTS: Out of twenty, causative mutations could be identified in twelve patients (60%). Six reported and four novel mutations were identified. Three polymorphisms were also observed. No hot spot was found. No significant genotype-phenotype correlation could be established. CONCLUSIONS: The study identified the mutation spectrum of Indian X-ALDpatients, which enabled us to offer accurate genetic counseling, carrier detection and prenatal diagnosis where needed.
Authors: Tim W Rattay; Maren Rautenberg; Anne S Söhn; Holger Hengel; Andreas Traschütz; Benjamin Röben; Stefanie N Hayer; Rebecca Schüle; Sarah Wiethoff; Lena Zeltner; Tobias B Haack; Alexander Cegan; Ludger Schöls; Erwin Schleicher; Andreas Peter Journal: Sci Rep Date: 2020-09-15 Impact factor: 4.379
Authors: Stephanie I W van de Stadt; Petra A W Mooyer; Inge M E Dijkstra; Conny J M Dekker; Divya Vats; Moin Vera; Maura R Z Ruzhnikov; Keith van Haren; Nelson Tang; Klaas Koop; Michel A Willemsen; Joannie Hui; Frédéric M Vaz; Merel S Ebberink; Marc Engelen; Stephan Kemp; Sacha Ferdinandusse Journal: Genes (Basel) Date: 2021-11-30 Impact factor: 4.096