ArticleMolecular cytogenetics2016
19p13.2 Microdeletion including NFIX associated with overgrowth and intellectual disability suggestive of Malan syndrome.
Article in Molecular cytogenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Roles of the NFI/CTF gene family in transcription and development: update 2025.Academia biology · 2025Article
- A Patient Case of Malan Syndrome Involving 19p13.2 Deletion ofJournal of clinical medicine · 2024Article
- Malan syndrome in a patient with 19p13.2p13.12 deletion encompassing NFIX and CACNA1A genes: Case report and review of the literature.Molecular genetics & genomic medicine · 2019Review
- Complex Phenotypes: Mechanisms Underlying Variation in Human Stature.Current osteoporosis reports · 2019Review
- NFIB Haploinsufficiency Is Associated with Intellectual Disability and Macrocephaly.American journal of human genetics · 2018Article
- Further delineation of Malan syndrome.Human mutation · 2018Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOvergrowth syndromes represent clinically and genetically heterogeneous conditions characterized by a wide spectrum of malformations, tall stature, intellectual disability and/or macrocephaly.
resultsIn a cohort of four clinically characterized patients with overgrowth syndrome without known causative gene mutation, we performed an Illumina SNP-array analysis to identify the pathogenic copy number variations. We identified two rare copy number variations harboring overgrowth syndrome related genes. Patient 1 was Malan syndrome with a 1.4 Mb 19p13.2-13.13 microdeletion including NFIX, and Patient 2 was identified as Sotos syndrome with a 1.6 Mb 5q35.2 microdeletion encompassing NSD1.
conclusionsWe identified two patients associated with Manlan syndrome and Sotos syndrome respectively. We also discuss the use of the microarrays-based candidate gene strategy in Mendelian disease-gene identification.
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