Back to Search Start Over

The QChip1 knowledgebase and microarray for precision medicine in Qatar

Authors :
Juan L. Rodriguez-Flores
Radja Messai-Badji
Amal Robay
Ramzi Temanni
Najeeb Syed
Monika Markovic
Eiman Al-khayat
Fatima Qafoud
Zafar Nawaz
Ramin Badii
Yasser Al-Sarraj
Hamdi Mbarek
Wadha Al-Muftah
Muhammad Alvi
Mahboubeh R. Rostami
Juan Carlos Martinez Cruzado
Jason G. Mezey
Alya Al Shakaki
Joel A. Malek
Matthew B. Greenblatt
Khalid A. Fakhro
Khaled Machaca
Ajayeb Al-Nabet
Nahla Afifi
Andrew Brooks
Said I. Ismail
Asmaa Althani
Ronald G. Crystal
Source :
npj Genomic Medicine, Vol 7, Iss 1, Pp 1-21 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract Risk genes for Mendelian (single-gene) disorders (SGDs) are consistent across populations, but pathogenic risk variants that cause SGDs are typically population-private. The goal was to develop “QChip1,” an inexpensive genotyping microarray to comprehensively screen newborns, couples, and patients for SGD risk variants in Qatar, a small nation on the Arabian Peninsula with a high degree of consanguinity. Over 108 variants in 8445 Qatari were identified for inclusion in a genotyping array containing 165,695 probes for 83,542 known and potentially pathogenic variants in 3438 SGDs. QChip1 had a concordance with whole-genome sequencing of 99.1%. Testing of QChip1 with 2707 Qatari genomes identified 32,674 risk variants, an average of 134 pathogenic alleles per Qatari genome. The most common pathogenic variants were those causing homocystinuria (1.12% risk allele frequency), and Stargardt disease (2.07%). The majority (85%) of Qatari SGD pathogenic variants were not present in Western populations such as European American, South Asian American, and African American in New York City and European and Afro-Caribbean in Puerto Rico; and only 50% were observed in a broad collection of data across the Greater Middle East including Kuwait, Iran, and United Arab Emirates. This study demonstrates the feasibility of developing accurate screening tools to identify SGD risk variants in understudied populations, and the need for ancestry-specific SGD screening tools.

Subjects

Subjects :
Medicine
Genetics
QH426-470

Details

Language :
English
ISSN :
20567944 and 37726560
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Genomic Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.37726560b48d41ea9a863392829c265f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41525-021-00270-0