Recently, with the advancement in next generation sequencing (NGS) along with the improvement of bioinformatics tools, whole exome sequencing (WES) has become the most efficient diagnostic test for patients with intellectual disability (ID). This study aims to estimate the yield of a reanalysis of ID negative exome cases after data reannotation. Total of 50 data files of exome sequencing, representing 50 samples were collected. The inclusion criteria include ID phenotype, and previous analysis indicated a negative result (no abnormality detected). These files were pre-processed and reannotated using ANNOVAR tool. Prioritized variants in the 50 cases studied were classified into three groups, (1) disease-causative variants (2) possible disease-causing variants and (3) variants in novel genes. Reanalysis resulted in the identification of pathogenic/likely pathogenic variants in six cases (12%). Thirteen cases (26%) were classified as having possible disease-causing variants. Candidate genes requiring future functional studies were detected in seven cases (14%). Improvement in bioinformatics tools, update in the genetic databases and literature, and patients' clinical phenotype update were the main reasons for identification of these variants in this study.

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Global Developmental Delay/Intellectual disability (ID) is the term used to describe various disorders caused by abnormal brain development and characterized by impairments in cognition, communication, behavior, or motor skills. In the past few years, whole-exome sequencing (WES) has been proven to be a powerful, robust, and scalable approach for candidate gene discoveries in consanguineous populations. In this study, we recruited 215 patients affected with ID from 118 Middle Eastern families. Whole-exome sequencing was completed for 188 individuals. The average age at which WES was completed was 8.5 years. Pathogenic or likely pathogenic variants were detected in 32/118 families (27%). Variants of uncertain significance were seen in 33/118 families (28%). The candidate genes with a possible association with ID were detected in 32/118 (27%) with a total number of 64 affected individuals. These genes are novel, were previously reported in a single family, or cause strikingly different phenotypes with a different mode of inheritance. These genes included: AATK, AP1G2, CAMSAP1, CCDC9B, CNTROB, DNAH14, DNAJB4, DRG1, DTNBP1, EDRF1, EEF1D, EXOC8, EXOSC4, FARSB, FBXO22, FILIP1, INPP4A, P2RX7, PRDM13, PTRHD1, SCN10A, SCYL2, SMG8, SUPV3L1, TACC2, THUMPD1, XPR1, ZFYVE28. During the 5 years of the study and through gene matching databases, several of these genes have now been confirmed as causative of ID. In conclusion, understanding the causes of ID will help understand biological mechanisms, provide precise counseling for affected families, and aid in primary prevention.

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