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Aetiology of severe mental retardation and further genetic analysis by high‐resolution microarray in a population‐based series of 6‐ to 17‐year‐old children
Author(s) -
Lundvall Mikael,
Rajaei Saideh,
Erlandson Anna,
Kyllerman Mårten
Publication year - 2012
Publication title -
acta paediatrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 115
eISSN - 1651-2227
pISSN - 0803-5253
DOI - 10.1111/j.1651-2227.2011.02417.x
Subject(s) - medicine , habilitation , etiology , pediatrics , population , cohort , psychiatry , philosophy , environmental health , humanities
Aim:  To investigate the prevalence, co‐morbidities and aetiologies of severe mental retardation (SMR) in a cohort of Swedish children and to further penetrate aetiologies in the group with undetermined causes by application of updated clinical‐genetic methods. Methods:  The study was population‐based and included children living in the County of Halland in western Sweden in 2004 (born 1987–1998; 46 000 children). Patients were identified through habilitation centres, paediatric clinics and school health services. Patients with unclear prenatal aetiology were investigated with single nucleotide polymorphism (SNP)‐array. Results:  Severe mental retardation was identified in 133 children from 132 families, corresponding to a prevalence of 2.9 per 1000 children. There were more males than females (90:43).The aetiology was prenatal in 82 (62%), perinatal in 14 (10%) and postnatal in 8 (6%). In 29 (22 %) children, mainly males with autism, the cause could not be related to the time of birth. In the prenatal group, genetic causes dominated, but still 23 children remained undiagnosed; in 5/19 of these patients, a diagnosis could be made after SNP‐array analysis. One or more associated neurological handicaps were found in more than half of the children. Conclusion:  Prevalence and co‐morbidity were similar to previous Scandinavian studies. High‐resolution chromosomal micro‐array techniques are valuable diagnostic tools, reducing the number of patients with unexplained SMR.

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