Genes that Affect Brain Structure and Function Identified by Rare Variant Analyses of Mendelian Neurologic Disease
2015; Cell Press; Volume: 88; Issue: 3 Linguagem: Inglês
10.1016/j.neuron.2015.09.048
ISSN1097-4199
AutoresEnder Karaca, Tamar Harel, Davut Pehli̇van, Shalini N. Jhangiani, Tomasz Gambin, Zeynep Coban‐Akdemir, Claudia Gonzaga‐Jauregui, Serkan Erdin, Yavuz Bayram, Ian M. Campbell, Jill V. Hunter, Mehmed M. Atik, Hilde Van Esch, Bo Yuan, Wojciech Wiszniewski, Sedat Işıkay, Gözde Yeşil, Özge Özalp Yüreğir, Sevcan Tuğ Bozdoğan, Hüseyin Aslan, Hatip Aydın, Tülay Tos, Ayşe Aksoy, Darryl C. De Vivo, Preti Jain, Bilgen Bilge Geçkinli, Özlem Sezer, Davut Gül, Burak Durmaz, Özgür Çoğulu, Ferda Özkınay, Vehap Topçu, Şükrü Candan, Alper Han Çebi, Mevlit Íkbal, Elif Yılmaz Güleç, Alper Gezdirici, Erkan Koparir, Fatma Yeliz Ekici, Salih Coşkun, Salih Cicek, Kadri Karaer, Asuman Koparır, Mehmet Buğrahan Düz, Emre Kırat, Elif Fenercioğlu, Hakan Ulucan, Mehmet Seven, Tülay Güran, Nursel Elçioğlu, Mahmut Selman Yıldırım, Dilek Aktaş, Mehmet Alikaşifoğlu, Mehmet Türe, Tahsin Yakut, John D. Overton, Adnan Yüksel, Mustafa Özen, Donna M. Muzny, David R. Adams, Eric Boerwinkle, Wendy K. Chung, Richard A. Gibbs, James R. Lupski,
Tópico(s)Congenital heart defects research
ResumoDevelopment of the human nervous system involves complex interactions among fundamental cellular processes and requires a multitude of genes, many of which remain to be associated with human disease. We applied whole exome sequencing to 128 mostly consanguineous families with neurogenetic disorders that often included brain malformations. Rare variant analyses for both single nucleotide variant (SNV) and copy number variant (CNV) alleles allowed for identification of 45 novel variants in 43 known disease genes, 41 candidate genes, and CNVs in 10 families, with an overall potential molecular cause identified in >85% of families studied. Among the candidate genes identified, we found PRUNE, VARS, and DHX37 in multiple families and homozygous loss-of-function variants in AGBL2, SLC18A2, SMARCA1, UBQLN1, and CPLX1. Neuroimaging and in silico analysis of functional and expression proximity between candidate and known disease genes allowed for further understanding of genetic networks underlying specific types of brain malformations.
Referência(s)