Variants in SKP1, PROB1, and IL17B genes at keratoconus 5q31.1–q35.3 susceptibility locus identified by whole-exome sequencing View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-10-05

AUTHORS

Justyna A Karolak, Tomasz Gambin, Jose A Pitarque, Andrea Molinari, Shalini Jhangiani, Pawel Stankiewicz, James R Lupski, Marzena Gajecka

ABSTRACT

Keratoconus (KTCN) is a protrusion and thinning of the cornea, resulting in impairment of visual function. The extreme genetic heterogeneity makes it difficult to discover factors unambiguously influencing the KTCN phenotype. In this study, we used whole-exome sequencing (WES) and Sanger sequencing to reduce the number of candidate genes at the 5q31.1–q35.3 locus and to prioritize other potentially relevant variants in an Ecuadorian family with KTCN. We applied WES in two affected KTCN individuals from the Ecuadorian family that showed a suggestive linkage between the KTCN phenotype and the 5q31.1–q35.3 locus. Putative variants identified by WES were further evaluated in this family using Sanger sequencing. Exome capture discovered a total of 173 rare (minor allele frequency <0.001 in control population) nonsynonymous variants in both affected individuals. Among them, 16 SNVs were selected for further evaluation. Segregation analysis revealed that variants c.475T>G in SKP1, c.671G>A in PROB1, and c.527G>A in IL17B in the 5q31.1–q35.3 linkage region, and c.850G>A in HKDC1 in the 10q22 locus completely segregated with the phenotype in the studied KTCN family. We demonstrate that a combination of various techniques significantly narrowed the studied genomic region and reduced the list of the putative exonic variants. Moreover, since this locus overlapped two other chromosomal regions previously recognized in distinct KTCN studies, our findings suggest that this 5q31.1–q35.3 locus might be linked with KTCN. More... »

PAGES

73-78

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ejhg.2016.130

DOI

http://dx.doi.org/10.1038/ejhg.2016.130

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007528306

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27703147


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