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Syndromes with lissencephaly. I: Millerdieker and Norman‐Roberts syndromes and isolated lissencephaly

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 1984 English Publisher:WileyJournal:American Journal of Medical Genetics, volume 18, pages 509-526 (issn: 0148-7299, eissn: 1096-8628,

Authors: W. B. Dobyns; Robert F. Stratton; Frank Greenberg;

doi: 10.1002/ajmg.1320180320

pmid: 6476009

Syndromes with lissencephaly. I: Millerdieker and Norman‐Roberts syndromes and isolated lissencephaly

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Abstract

AbstractLissencephaly (smooth‐brain) is an abnormality of brain development characterized by incomplete neuronal migration and a smooth cerebral surface. At least 2, and possibly more, distinct pathological types occur, each associated with several distinct syndromes. In this paper, the manifestations of 3 disorders associated with type I (classical) lissencephaly are discussed, including the Miller‐Dieker syndrome with or without deficiency of 17p13, Norman‐Roberts syndrome, and isolated lissencephaly sequence.

Related Organizations

Mayo Clinic
United States
Baylor College of Medicine
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Mayo Clinic
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Keywords

Chromosome Aberrations, Infant, Newborn, Brain, Infant, Chromosome Disorders, Phenotype, Child, Preschool, Microcephaly, Humans, Abnormalities, Multiple, Chromosomes, Human, 16-18, Follow-Up Studies, Hydrocephalus

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	253
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%