Back

Loss of GFAP cause retinal dysplasia and vision impairment

Sarusie, M. V. K.; Rönnbäck, C.; Jespersgaard, C.; Ali, Y.; Christensen, S. T.; Brondum-Nielsen, K.; Mollgard, K.; Rosenberg, T.; Larsen, L. A.; Gronskov, K.

2022-11-15 genetic and genomic medicine
10.1101/2022.11.09.22282105 medRxiv
Show abstract

Diagnosis of genetic diseases has taken tremendous steps forward since the human genome project and technical advancements such as next generation sequencing. However, in the past years it has become evident that the classical "one gene - one phenotype" model is insufficient to encompass the intricacies of human genetics. Examples are emerging that variants in a gene can cause quite diverging phenotypes depending on the specific location in the gene or on the specific type of variant. In the era of precision medicine this is important knowledge, both when interpreting genomic data, but also when designing treatment strategies. Gain-of-function variants in GFAP leads to protein aggregation and is the cause of the severe neurodegenerative disorder Alexander Disease (AxD), while loss of GFAP function has been considered benign. Here, we report a loss-of-function variant in GFAP as the cause of optico-retinal dysplasia and vision impairment in a six-generation family. Whole genome sequencing analysis of family members with gliosis of the optic nerve head and visual impairment revealed a frameshift variant in GFAP (c.928dup, p.(Met310Asnfs*113)) segregating with disease. Analysis of human embryonic tissues revealed strong expression of GFAP in retinal neural progenitors. A zebrafish model verified that c.928dup does not result in extensive GFAP protein aggregation and zebrafish gfap loss-of-function mutants showed vision impairment and retinal dysplasia, characterized by a significant loss of Muller glia cells and photoreceptor cells. Our findings show how different mutational mechanisms can cause diverging phenotypes and reveal a novel function of GFAP in human eye development.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Experimental Eye Research
32 papers in training set
Top 0.1%
22.1%
2
Scientific Reports
3612 papers in training set
Top 1%
15.2%
3
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 0.4%
5.5%
4
International Journal of Molecular Sciences
494 papers in training set
Top 2%
4.9%
5
Journal of Medical Genetics
29 papers in training set
Top 0.1%
4.1%
50% of probability mass above
6
PLOS Genetics
862 papers in training set
Top 4%
3.3%
7
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
3.2%
8
Cells
249 papers in training set
Top 1%
2.7%
9
iScience
1154 papers in training set
Top 9%
2.7%
10
PLOS ONE
5266 papers in training set
Top 43%
2.4%
11
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
26 papers in training set
Top 0.2%
2.1%
12
eLife
5828 papers in training set
Top 44%
2.1%
13
Human Molecular Genetics
141 papers in training set
Top 1%
1.9%
14
Investigative Ophthalmology & Visual Science
25 papers in training set
Top 0.3%
1.9%
15
Investigative Opthalmology & Visual Science
37 papers in training set
Top 0.3%
1.7%
16
Nature Communications
5641 papers in training set
Top 50%
1.1%
17
Genes
144 papers in training set
Top 3%
1.1%
18
Cell Death & Disease
126 papers in training set
Top 3%
1.0%
19
Communications Biology
993 papers in training set
Top 28%
0.9%
20
Neurobiology of Disease
148 papers in training set
Top 3%
0.9%
21
Orphanet Journal of Rare Diseases
21 papers in training set
Top 0.7%
0.6%
22
Ophthalmology Science
22 papers in training set
Top 0.4%
0.6%
23
FASEB BioAdvances
18 papers in training set
Top 0.5%
0.6%
24
Biology Open
156 papers in training set
Top 4%
0.6%
25
Biomolecules
100 papers in training set
Top 3%
0.6%
26
American Journal of Medical Genetics Part A
17 papers in training set
Top 0.3%
0.6%
27
EMBO Molecular Medicine
95 papers in training set
Top 3%
0.6%
28
Translational Vision Science & Technology
39 papers in training set
Top 0.6%
0.6%