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DOI 10.1038/s41436-021-01159-0

Медицинская библиотека · Genetics in medicine : official journal of the American College of Medical Genetics · 2021

Combining exome/genome sequencing with data repository analysis reveals novel gene-disease associations for a wide range of genetic disorders.

Bertoli-Avella Aida M, Kandaswamy Krishna K, Khan Suliman, Ordonez-Herrera Natalia, Tripolszki Kornelia, Beetz Christian, Rocha Maria Eugenia, Urzi Alize, Hotakainen Ronja, Leubauer Anika, Al-Ali Ruslan, Karageorgou Vasiliki, Moldovan Oana, Dias Patrícia, Alhashem Amal, Tabarki Brahim, Albalwi Mohammed A, Alswaid Abdulrahman Faiz, Al-Hassnan Zuhair N, Alghamdi Malak Ali, Hadipour Zahra, Hadipour Fatemeh, Al Hashmi Nadia, Al-Gazali Lihadh, Cheema Huma, Zaki Maha S, Hüning Irina, Alfares Ahmed, Eyaid Wafaa, Al Mutairi Fuad, Alfadhel Majid, Alkuraya Fowzan S, Al-Sannaa Nouriya Abbas, AlShamsi Aisha M, Ameziane Najim, Rolfs Arndt, Bauer Peter

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Аннотация

PURPOSE: Within this study, we aimed to discover novel gene-disease associations in patients with no genetic diagnosis after exome/genome sequencing (ES/GS).

METHODS

We followed two approaches: (1) a patient-centered approach, which after routine diagnostic analysis systematically interrogates variants in genes not yet associated to human diseases; and (2) a gene variant centered approach. For the latter, we focused on de novo variants in patients that presented with neurodevelopmental delay (NDD) and/or intellectual disability (ID), which are the most common reasons for genetic testing referrals. Gene-disease association was assessed using our data repository that combines ES/GS data and Human Phenotype Ontology terms from over 33,000 patients.

RESULTS

We propose six novel gene-disease associations based on 38 patients with variants in the BLOC1S1, IPO8, MMP15, PLK1, RAP1GDS1, and ZNF699 genes. Furthermore, our results support causality of 31 additional candidate genes that had little published evidence and no registered OMIM phenotype (56 patients). The phenotypes included syndromic/nonsyndromic NDD/ID, oral-facial-digital syndrome, cardiomyopathies, malformation syndrome, short stature, skeletal dysplasia, and ciliary dyskinesia.

CONCLUSION

Our results demonstrate the value of data repositories which combine clinical and genetic data for discovering and confirming gene-disease associations. Genetic laboratories should be encouraged to pursue such analyses for the benefit of undiagnosed patients and their families.

Для цитирования: Bertoli-Avella Aida M, Kandaswamy Krishna K, Khan Suliman, Ordonez-Herrera Natalia, Tripolszki Kornelia, Beetz Christian, Rocha Maria Eugenia, Urzi Alize, Hotakainen Ronja, Leubauer Anika, Al-Ali Ruslan, Karageorgou Vasiliki, Moldovan Oana, Dias Patrícia, Alhashem Amal, Tabarki Brahim, Albalwi Mohammed A, Alswaid Abdulrahman Faiz, Al-Hassnan Zuhair N, Alghamdi Malak Ali, Hadipour Zahra, Hadipour Fatemeh, Al Hashmi Nadia, Al-Gazali Lihadh, Cheema Huma, Zaki Maha S, Hüning Irina, Alfares Ahmed, Eyaid Wafaa, Al Mutairi Fuad, Alfadhel Majid, Alkuraya Fowzan S, Al-Sannaa Nouriya Abbas, AlShamsi Aisha M, Ameziane Najim, Rolfs Arndt, Bauer Peter. Combining exome/genome sequencing with data repository analysis reveals novel gene-disease associations for a wide range of genetic disorders.. Genetics in medicine : official journal of the American College of Medical Genetics. 2021. DOI: 10.1038/s41436-021-01159-0.

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