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Rev. bras. pesqui. méd. biol ; Braz. j. med. biol. res;47(10): 869-875, 10/2014. tab
Article de Anglais | LILACS | ID: lil-722164

RÉSUMÉ

The aim of this study was to analyze the association of different clinical contributors of hypoxic-ischemic encephalopathy with NOS3 gene polymorphisms. A total of 110 children with hypoxic-ischemic encephalopathy and 128 control children were selected for this study. Association of gender, gestational age, birth weight, Apgar score, cranial ultrasonography, and magnetic resonance imaging findings with genotypic data of six haplotype-tagging single nucleotide polymorphisms and the most commonly investigated rs1800779 and rs2070744 polymorphisms was analyzed. The TGT haplotype of rs1800783, rs1800779, and rs2070744 polymorphisms was associated with hypoxic-ischemic encephalopathy. Children with the TGT haplotype were infants below 32 weeks of gestation and they had the most severe brain damage. Increased incidence of the TT genotype of the NOS3 rs1808593 SNP was found in the group of hypoxic-ischemic encephalopathy patients with medium and severe brain damage. The probability of brain damage was twice as high in children with the TT genotype than in children with the TG genotype of the same polymorphism. Furthermore, the T allele of the same polymorphism was twice as frequent in children with lower Apgar scores. This study strongly suggests associations of NOS3 gene polymorphism with intensity of brain damage and severity of the clinical picture in affected children.


Sujet(s)
Enfant d'âge préscolaire , Femelle , Humains , Nourrisson , Nouveau-né , Mâle , Poids de naissance , Souffrance cérébrale chronique/génétique , Hypoxie-ischémie du cerveau/génétique , Nitric oxide synthase type III/génétique , Polymorphisme génétique/génétique , Loi du khi-deux , Fréquence d'allèle , Génotype , Âge gestationnel , Hypoxie-ischémie du cerveau/anatomopathologie , Modèles logistiques , Imagerie par résonance magnétique , Polymorphisme de nucléotide simple/génétique , Réaction de polymérisation en chaine en temps réel , Indice de gravité de la maladie
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