Mor Hanany

Dr. Mor Hanany

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 January 2020 in Proceedings of the National Academy of Sciences
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MHMor Hanany
Mor Hanany
CRCarlo Rivolta
Carlo Rivolta
DSDror Sharon
Dror Sharon
Significance: By computing genotype data from six major world populations, we aimed at calculating how many individuals are affected with an autosomal recessive (AR) form of inherited retinal disease (IRD) or carry a mutation that can be transmitted to future generations. By analyzing variants in 187 IRD-associated genes, we detected 10,044 mutations and estimated that 2.7 billion individuals worldwide are carriers of an IRD disease-causing mutation, whereas 5.5 million are expected to be affected. This study will assist clinicians in their decision about the need to perform relevant genetic tests when diagnosing patients with IRDs. Similar studies can take advantage of our approach to calculate the expected number of affected or carrier individuals for any genetic disease with known molecular etiology.

1 July 2022 in Progress in Retinal and Eye Research
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Journal Article
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NSNina Schneider
Nina Schneider
YSYogapriya Sundaresan
Yogapriya Sundaresan
PGPrakadeeswari Gopalakrishnan
Prakadeeswari Gopalakrishnan
ABAvigail Beryozkin
Avigail Beryozkin
MHMor Hanany
Mor Hanany
DSDror Sharon
Dror Sharon

25 March 2019 in Journal of Medical Genetics
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MHMor Hanany
Mor Hanany
DSDror Sharon
Dror Sharon
Background Next generation sequencing (NGS) generates a large amount of genetic data that can be used to better characterise disease-causing variants. Our aim was to examine allele frequencies of sequence variants reported to cause autosomal dominant inherited retinal diseases (AD-IRDs). Methods Genetic information was collected from various databases, including PubMed, the Human Genome Mutation Database, RETNET and gnomAD. Results We generated a database of 1223 variants reported in 58 genes, including their allele frequency in gnomAD that contains NGS data of over 138 000 individuals. While the majority of variants are not represented in gnomAD, 138 had an allele count of >1 and were examined carefully for various aspects including cosegregation and functional analyses. The analysis revealed 122 variants that were reported pathogenic but unlikely to cause AD-IRDs. Interestingly, in some cases, these unlikely pathogenic variants were the only ones reported to cause disease in AD inheritance pattern for a particular gene, therefore raising doubt regarding the involvement of 11 (19%) of the genes in AD-IRDs. Conclusion We predict that these data are not limited to a specific disease or inheritance pattern since non-pathogenic variants were mistakenly reported as pathogenic in various diseases. Our results should serve as a warning sign for geneticists, variant database curators and sequencing panels’ developers not to automatically accept reported variants as pathogenic but cross-reference the information with large databases.

30 April 2018 in European Journal of Human Genetics
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MHMor Hanany
Mor Hanany
GAGilad Allon
Gilad Allon
AKAdva Kimchi
Adva Kimchi
ABAnat Blumenfeld
Anat Blumenfeld
HNHadas Newman
Hadas Newman
DSDror Sharon
Dror Sharon

20 May 2024 in Genes
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SSSapir Shalom
Sapir Shalom
MHMor Hanany
Mor Hanany
AEAvital Eilat
Avital Eilat
ICItay Chowers
Itay Chowers
TBTamar Ben-Yosef
Tamar Ben-Yosef
DSDror Sharon
Dror Sharon
Inherited retinal diseases (IRDs) are a clinically and genetically heterogeneous group of diseases which cause visual loss due to Mendelian mutations in over 250 genes, making genetic diagnosis challenging and time-consuming. Here, we developed a new tool, CDIP (Cost-effective Deep-sequencing IRD Panel) in which a simultaneous sequencing of common mutations is performed. CDIP is based on simultaneous amplification of 47 amplicons harboring common mutations followed by next-generation sequencing (NGS). Following five rounds of calibration of NGS-based steps, CDIP was used in 740 IRD samples. The analysis revealed 151 mutations in 131 index cases. In 54 (7%) of these cases, CDIP identified the genetic cause of disease (the remaining were single-heterozygous recessive mutations). These include a patient that was clinically diagnosed with retinoschisis and found to be homozygous for NR2E3-c.932G>A (p.R311Q), and a patient with RP who is hemizygous for an RPGR variant, c.292C>A (p.H98N), which was not included in the analysis but is located in proximity to one of these mutations. CDIP is a cost-effective deep sequencing panel for simultaneous detection of common founder mutations. This protocol can be implemented for additional populations as well as additional inherited diseases, and mainly in populations with strong founder effects.