Diagnostic implications of pitfalls in causal variant identification based on 4577 molecularly characterized families

Abstract Despite large sequencing and data sharing efforts, previously characterized pathogenic variants only account for a fraction of Mendelian disease patients, which highlights the need for accurate identification and interpretation of novel variants. In a large Mendelian cohort of 4577 molecula...

Full description

Saved in:
Bibliographic Details
Published inNature communications Vol. 14; no. 1; p. 5269
Main Authors AlAbdi, Lama, Maddirevula, Sateesh, Shamseldin, Hanan E., Khouj, Ebtissal, Helaby, Rana, Hamid, Halima, Almulhim, Aisha, Hashem, Mais O., Abdulwahab, Firdous, Abouyousef, Omar, Alqahtani, Mashael, Altuwaijri, Norah, Jaafar, Amal, Alshidi, Tarfa, Alzahrani, Fatema, Al-Sagheir, Afaf I., Mansour, Ahmad M., Alawaji, Ali, Aldhilan, Amal, Alhashem, Amal, Alhemidan, Amal, Nabil, Amira, Khan, Arif O., Aljohar, Aziza, Alsaleem, Badr, Tabarki, Brahim, Lourenco, Charles Marques, Faqeih, Eissa, AlShail, Essam, Almesaifri, Fatima, Mutairi, Fuad Al, Alzaidan, Hamad, Morsy, Heba, Alshihry, Hind, Alkuraya, Hisham, Girisha, Katta Mohan, Al-Fayez, Khawla, Al-Rubeaan, Khalid, kraoua, Lilia, Alnemer, Maha, Tulbah, Maha, Zaki, Maha S., Alfadhel, Majid, Abouelhoda, Mohammed, Nezarati, Marjan M., Al-Qattan, Mohammad, Shboul, Mohammad, Abanemai, Mohammed, Al-Muhaizea, Mohammad A., Al-owain, Mohammed, Bafaqeeh, Mohammed Sameer, Alshammari, Muneera, Abukhalid, Musaad, Alsahan, Nada, Derar, Nada, Meriki, Neama, Bohlega, Saeed A., Tala, Saeed Al, Alhassan, Saad, Wali, Sami, Mohamed, Sarar, Coskun, Serdar, Saadeh, Sermin, Tkemaladze, Tinatin, Kurdi, Wesam, Alhumaidi, Zainab Ahmed, Rahbeeni, Zuhair, Alkuraya, Fowzan S.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group 29.08.2023
Nature Publishing Group UK
Nature Portfolio
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract Despite large sequencing and data sharing efforts, previously characterized pathogenic variants only account for a fraction of Mendelian disease patients, which highlights the need for accurate identification and interpretation of novel variants. In a large Mendelian cohort of 4577 molecularly characterized families, numerous scenarios in which variant identification and interpretation can be challenging are encountered. We describe categories of challenges that cover the phenotype (e.g. novel allelic disorders), pedigree structure (e.g. imprinting disorders masquerading as autosomal recessive phenotypes), positional mapping (e.g. double recombination events abrogating candidate autozygous intervals), gene (e.g. novel gene-disease assertion) and variant (e.g. complex compound inheritance). Overall, we estimate a probability of 34.3% for encountering at least one of these challenges. Importantly, our data show that by only addressing non-sequencing-based challenges, around 71% increase in the diagnostic yield can be expected. Indeed, by applying these lessons to a cohort of 314 cases with negative clinical exome or genome reports, we could identify the likely causal variant in 54.5%. Our work highlights the need to have a thorough approach to undiagnosed diseases by considering a wide range of challenges rather than a narrow focus on sequencing technologies. It is hoped that by sharing this experience, the yield of undiagnosed disease programs globally can be improved.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-40909-3