Exome Array Analysis of Nuclear Lens Opacity.

PubMed ID: 29182452

Author(s): Loomis SJ, Klein AP, Lee KE, Chen F, Bomotti S, Truitt B, Iyengar SK, Klein R, Klein BEK, Duggal P. Exome array analysis of nuclear lens opacity. Ophthalmic Epidemiol. 2018 Jun;25(3):215-219. doi: 10.1080/09286586.2017.1406122. Epub 2017 Nov 28. PMID 29182452

Journal: Ophthalmic Epidemiology, Volume 25, Issue 3, Jun 2018

PURPOSE Nuclear cataract is the most common subtype of age-related cataract, the leading cause of blindness worldwide. It results from advanced nuclear sclerosis, or opacity in the center of the optic lens, and is affected by both genetic and environmental risk factors, including smoking. We sought to understand the genetic factors associated with nuclear sclerosis through interrogation of rare and low frequency coding variants using exome array data.

METHODS We analyzed Illumina Human Exome Array data for 1,488 participants of European ancestry in the Beaver Dam Eye Study who were without cataract surgery for association with nuclear sclerosis grade, controlling for age and sex. We performed single-variant regression analysis for 32,138 variants with minor allele frequency (MAF) ≥0.003. In addition, gene-based analysis of 11,844 genes containing at least two variants with MAF < 0.05 was performed using a gene-based unified burden and non-burden sequence kernel association test (SKAT-O). Additionally, both single-variant and gene-based analyses were analyzed stratified by smoking status.

RESULTS No single-variant test was statistically significant after Bonferroni correction (p < 1.6 × 10-6; top single nucleotide polymorphism (SNP): rs144458991, p = 2.83 × 10-5). Gene-based tests were suggestively associated with the gene RNF149 overall (p = 8.29 × 10-6) and among never smokers (N = 790, p = 2.67 × 10-6).

CONCLUSIONS This study did not find a significant genetic association with nuclear sclerosis, the possible association with the RNF149 gene highlights a potential candidate gene for future studies that aim to understand the genetic architecture of nuclear sclerosis.