A Coding Variant in the Gene Bardet-Biedl Syndrome 4 (BBS4) Is Associated with a Novel Form of Canine Progressive Retinal Atrophy.
Tracey ChewBianca HaaseRoslyn BathgateCali E WilletMaria K KaukonenLisa J MascordHannes T LohiClaire M WadePublished in: G3 (Bethesda, Md.) (2017)
Progressive retinal atrophy is a common cause of blindness in the dog and affects >100 breeds. It is characterized by gradual vision loss that occurs due to the degeneration of photoreceptor cells in the retina. Similar to the human counterpart retinitis pigmentosa, the canine disorder is clinically and genetically heterogeneous and the underlying cause remains unknown for many cases. We use a positional candidate gene approach to identify putative variants in the Hungarian Puli breed using genotyping data of 14 family-based samples (CanineHD BeadChip array, Illumina) and whole-genome sequencing data of two proband and two parental samples (Illumina HiSeq 2000). A single nonsense SNP in exon 2 of BBS4 (c.58A > T, p.Lys20*) was identified following filtering of high quality variants. This allele is highly associated (PCHISQ = 3.425e-14, n = 103) and segregates perfectly with progressive retinal atrophy in the Hungarian Puli. In humans, BBS4 is known to cause Bardet-Biedl syndrome which includes a retinitis pigmentosa phenotype. From the observed coding change we expect that no functional BBS4 can be produced in the affected dogs. We identified canine phenotypes comparable with Bbs4-null mice including obesity and spermatozoa flagella defects. Knockout mice fail to form spermatozoa flagella. In the affected Hungarian Puli spermatozoa flagella are present, however a large proportion of sperm are morphologically abnormal and <5% are motile. This suggests that BBS4 contributes to flagella motility but not formation in the dog. Our results suggest a promising opportunity for studying Bardet-Biedl syndrome in a large animal model.
Keyphrases
- copy number
- diabetic retinopathy
- genome wide
- optical coherence tomography
- multiple sclerosis
- optic nerve
- high fat diet induced
- case report
- electronic health record
- endothelial cells
- type diabetes
- induced apoptosis
- high throughput
- genetic diversity
- insulin resistance
- dna methylation
- big data
- weight loss
- oxidative stress
- pseudomonas aeruginosa
- data analysis
- genome wide identification
- high resolution
- machine learning
- gene expression
- adipose tissue
- cell proliferation
- body mass index
- endoplasmic reticulum stress
- high throughput sequencing
- deep learning
- artificial intelligence