Literature DB >> 27431290

Clinical genomics expands the morbid genome of intellectual disability and offers a high diagnostic yield.

S Anazi1, S Maddirevula1, E Faqeih2, H Alsedairy1, F Alzahrani1, H E Shamseldin1, N Patel1, M Hashem1, N Ibrahim1, F Abdulwahab1, N Ewida1, H S Alsaif1, H Al Sharif1, W Alamoudi1, A Kentab3, F A Bashiri3, M Alnaser3, A H AlWadei4, M Alfadhel5, W Eyaid5, A Hashem6, A Al Asmari2, M M Saleh2, A AlSaman4, K A Alhasan3, M Alsughayir7, M Al Shammari3, A Mahmoud4, Z N Al-Hassnan1, M Al-Husain3, R Osama Khalil8,9, N Abd El Meguid9, A Masri10, R Ali11, T Ben-Omran11, P El Fishway12, A Hashish9, A Ercan Sencicek12, M State8, A M Alazami1, M A Salih3, N Altassan1, S T Arold13, M Abouelhoda1, S M Wakil1, D Monies1, R Shaheen1, F S Alkuraya1,14.   

Abstract

Intellectual disability (ID) is a measurable phenotypic consequence of genetic and environmental factors. In this study, we prospectively assessed the diagnostic yield of genomic tools (molecular karyotyping, multi-gene panel and exome sequencing) in a cohort of 337 ID subjects as a first-tier test and compared it with a standard clinical evaluation performed in parallel. Standard clinical evaluation suggested a diagnosis in 16% of cases (54/337) but only 70% of these (38/54) were subsequently confirmed. On the other hand, the genomic approach revealed a likely diagnosis in 58% (n=196). These included copy number variants in 14% (n=54, 15% are novel), and point mutations revealed by multi-gene panel and exome sequencing in the remaining 43% (1% were found to have Fragile-X). The identified point mutations were mostly recessive (n=117, 81%), consistent with the high consanguinity of the study cohort, but also X-linked (n=8, 6%) and de novo dominant (n=19, 13%). When applied directly on all cases with negative molecular karyotyping, the diagnostic yield of exome sequencing was 60% (77/129). Exome sequencing also identified likely pathogenic variants in three novel candidate genes (DENND5A, NEMF and DNHD1) each of which harbored independent homozygous mutations in patients with overlapping phenotypes. In addition, exome sequencing revealed de novo and recessive variants in 32 genes (MAMDC2, TUBAL3, CPNE6, KLHL24, USP2, PIP5K1A, UBE4A, TP53TG5, ATOH1, C16ORF90, SLC39A14, TRERF1, RGL1, CDH11, SYDE2, HIRA, FEZF2, PROCA1, PIANP, PLK2, QRFPR, AP3B2, NUDT2, UFC1, BTN3A2, TADA1, ARFGEF3, FAM160B1, ZMYM5, SLC45A1, ARHGAP33 and CAPS2), which we highlight as potential candidates on the basis of several lines of evidence, and one of these genes (SLC39A14) was biallelically inactivated in a potentially treatable form of hypermanganesemia and neurodegeneration. Finally, likely causal variants in previously published candidate genes were identified (ASTN1, HELZ, THOC6, WDR45B, ADRA2B and CLIP1), thus supporting their involvement in ID pathogenesis. Our results expand the morbid genome of ID and support the adoption of genomics as a first-tier test for individuals with ID.

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Year:  2016        PMID: 27431290     DOI: 10.1038/mp.2016.113

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  44 in total

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Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
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9.  Effectiveness of whole-exome sequencing and costs of the traditional diagnostic trajectory in children with intellectual disability.

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10.  Clinical genomics can facilitate countrywide estimation of autosomal recessive disease burden.

Authors:  Mohamed Abouelhoda; Turki Sobahy; Mohamed El-Kalioby; Nisha Patel; Hanan Shamseldin; Dorota Monies; Nada Al-Tassan; Khushnooda Ramzan; Faiqa Imtiaz; Ranad Shaheen; Fowzan S Alkuraya
Journal:  Genet Med       Date:  2016-04-28       Impact factor: 8.822

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  70 in total

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Review 2.  Developmental biology of the meninges.

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3.  Lessons Learned from Large-Scale, First-Tier Clinical Exome Sequencing in a Highly Consanguineous Population.

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Journal:  Am J Hum Genet       Date:  2019-05-23       Impact factor: 11.025

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5.  Truncating biallelic variant in DNAJA1, encoding the co-chaperone Hsp40, is associated with intellectual disability and seizures.

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Journal:  Neurogenetics       Date:  2019-04-10       Impact factor: 2.660

6.  Expanding the genetic heterogeneity of intellectual disability.

Authors:  Shams Anazi; Sateesh Maddirevula; Vincenzo Salpietro; Yasmine T Asi; Saud Alsahli; Amal Alhashem; Hanan E Shamseldin; Fatema AlZahrani; Nisha Patel; Niema Ibrahim; Firdous M Abdulwahab; Mais Hashem; Nadia Alhashmi; Fathiya Al Murshedi; Adila Al Kindy; Ahmad Alshaer; Ahmed Rumayyan; Saeed Al Tala; Wesam Kurdi; Abdulaziz Alsaman; Ali Alasmari; Selina Banu; Tipu Sultan; Mohammed M Saleh; Hisham Alkuraya; Mustafa A Salih; Hesham Aldhalaan; Tawfeg Ben-Omran; Fatima Al Musafri; Rehab Ali; Jehan Suleiman; Brahim Tabarki; Ayman W El-Hattab; Caleb Bupp; Majid Alfadhel; Nada Al Tassan; Dorota Monies; Stefan T Arold; Mohamed Abouelhoda; Tammaryn Lashley; Henry Houlden; Eissa Faqeih; Fowzan S Alkuraya
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7.  Rapid Challenges: Ethics and Genomic Neonatal Intensive Care.

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8.  Dysfunction of the Cerebral Glucose Transporter SLC45A1 in Individuals with Intellectual Disability and Epilepsy.

Authors:  Myriam Srour; Noriaki Shimokawa; Fadi F Hamdan; Christina Nassif; Chantal Poulin; Lihadh Al Gazali; Jill A Rosenfeld; Noriyuki Koibuchi; Guy A Rouleau; Aisha Al Shamsi; Jacques L Michaud
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9.  Biallelic variants in FBXL3 cause intellectual disability, delayed motor development and short stature.

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10.  A New 3p14.2 Microdeletion in a Patient with Intellectual Disability and Language Impairment: Case Report and Review of the Literature.

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