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. 2017 Aug;136(8):921-939.
doi: 10.1007/s00439-017-1821-8. Epub 2017 Jun 9.

The landscape of genetic diseases in Saudi Arabia based on the first 1000 diagnostic panels and exomes

Dorota Monies  1   2 Mohamed Abouelhoda  1   2 Moeenaldeen AlSayed  3   4 Zuhair Alhassnan  3   4 Maha Alotaibi  5 Husam Kayyali  6 Mohammed Al-Owain  3   4 Ayaz Shah  6 Zuhair Rahbeeni  3 Mohammad A Al-Muhaizea  7   4 Hamad I Alzaidan  3   4 Edward Cupler  6 Saeed Bohlega  7 Eissa Faqeih  8 Maha Faden  5 Banan Alyounes  1   2 Dyala Jaroudi  1   2 Ewa Goljan  1   2 Hadeel Elbardisy  1 Asma Akilan  1 Renad Albar  2 Hesham Aldhalaan  7 Shamshad Gulab  9 Aziza Chedrawi  7 Bandar K Al Saud  10   4 Wesam Kurdi  11   4 Nawal Makhseed  12 Tahani Alqasim  7 Heba Y El Khashab  13   14 Hamoud Al-Mousa  10   4 Amal Alhashem  4   15 Imaduddin Kanaan  7 Talal Algoufi  16 Khalid Alsaleem  10 Talal A Basha  9 Fathiya Al-Murshedi  17 Sameena Khan  7   4 Adila Al-Kindy  17 Maha Alnemer  11 Sami Al-Hajjar  10 Suad Alyamani  7 Hasan Aldhekri  10 Ali Al-Mehaidib  10 Rand Arnaout  10 Omar Dabbagh  7 Mohammad Shagrani  4   16 Dieter Broering  4   16 Maha Tulbah  11 Amal Alqassmi  5 Maisoon Almugbel  11 Mohammed AlQuaiz  18 Abdulaziz Alsaman  19 Khalid Al-Thihli  17 Raashda A Sulaiman  3   4 Wajeeh Al-Dekhail  10 Abeer Alsaegh  17 Fahad A Bashiri  20 Alya Qari  3 Suzan Alhomadi  5 Hisham Alkuraya  21 Mohammed Alsebayel  16 Muddathir H Hamad  7 Laszlo Szonyi  15 Faisal Abaalkhail  4   15 Sulaiman M Al-Mayouf  10   18 Hamad Almojalli  16 Khalid S Alqadi  6 Hussien Elsiesy  4   16 Taghreed M Shuaib  22 Mohammed Zain Seidahmed  23 Ibraheem Abosoudah  24 Hana Akleh  11 Abdulaziz AlGhonaium  10 Turki M Alkharfy  20 Fuad Al Mutairi  25 Wafa Eyaid  25 Abdullah Alshanbary  26 Farrukh R Sheikh  10 Fahad I Alsohaibani  18 Abdullah Alsonbul  10 Saeed Al Tala  27 Soher Balkhy  9 Randa Bassiouni  28   29 Ahmed S Alenizi  5 Maged H Hussein  18 Saeed Hassan  20 Mohamed Khalil  14 Brahim Tabarki  15 Saad Alshahwan  15 Amira Oshi  30 Yasser Sabr  31 Saad Alsaadoun  23 Mustafa A Salih  20 Sarar Mohamed  15 Habiba Sultana  10 Abdullah Tamim  9 Moayad El-Haj  32 Saif Alshahrani  3 Dalal K Bubshait  33 Majid Alfadhel  25 Tariq Faquih  1   2 Mohamed El-Kalioby  1   2 Shazia Subhani  1   2 Zeeshan Shah  1   2 Nabil Moghrabi  32 Brian F Meyer  1   2 Fowzan S Alkuraya  34   35   36
Affiliations

The landscape of genetic diseases in Saudi Arabia based on the first 1000 diagnostic panels and exomes

Dorota Monies et al. Hum Genet. 2017 Aug.

Abstract

In this study, we report the experience of the only reference clinical next-generation sequencing lab in Saudi Arabia with the first 1000 families who span a wide-range of suspected Mendelian phenotypes. A total of 1019 tests were performed in the period of March 2016-December 2016 comprising 972 solo (index only), 14 duo (parents or affected siblings only), and 33 trio (index and parents). Multigene panels accounted for 672 tests, while whole exome sequencing (WES) represented the remaining 347 tests. Pathogenic or likely pathogenic variants that explain the clinical indications were identified in 34% (27% in panels and 43% in exomes), spanning 279 genes and including 165 novel variants. While recessive mutations dominated the landscape of solved cases (71% of mutations, and 97% of which are homozygous), a substantial minority (27%) were solved on the basis of dominant mutations. The highly consanguineous nature of the study population also facilitated homozygosity for many private mutations (only 32.5% of the recessive mutations are founder), as well as the first instances of recessive inheritance of previously assumed strictly dominant disorders (involving ITPR1, VAMP1, MCTP2, and TBP). Surprisingly, however, dual molecular diagnosis was only observed in 1.5% of cases. Finally, we have encountered candidate variants in 75 genes (ABHD6, ACY3, ADGRB2, ADGRG7, AGTPBP1, AHNAK2, AKAP6, ASB3, ATXN1L, C17orf62, CABP1, CCDC186, CCP110, CLSTN2, CNTN3, CNTN5, CTNNA2, CWC22, DMAP1, DMKN, DMXL1, DSCAM, DVL2, ECI1, EP400, EPB41L5, FBXL22, GAP43, GEMIN7, GIT1, GRIK4, GRSF1, GTRP1, HID1, IFNL1, KCNC4, LRRC52, MAP7D3, MCTP2, MED26, MPP7, MRPS35, MTDH, MTMR9, NECAP2, NPAT, NRAP, PAX7, PCNX, PLCH2, PLEKHF1, PTPN12, QKI, RILPL2, RIMKLA, RIMS2, RNF213, ROBO1, SEC16A, SIAH1, SIRT2, SLAIN2, SLC22A20, SMDT1, SRRT, SSTR1, ST20, SYT9, TSPAN6, UBR4, VAMP4, VPS36, WDR59, WDYHV1, and WHSC1) not previously linked to human phenotypes and these are presented to accelerate post-publication matchmaking. Two of these genes were independently mutated in more than one family with similar phenotypes, which substantiates their link to human disease (AKAP6 in intellectual disability and UBR4 in early dementia). If the novel candidate disease genes in this cohort are independently confirmed, the yield of WES will have increased to 83%, which suggests that most "negative" clinical exome tests are unsolved due to interpretation rather than technical limitations.

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Conflict of interest statement

Medical Diagnostic Laboratory generates revenues for KFSHRC.

Figures

Fig. 1
Fig. 1
Pie charts showing the yield of the two testing modalities and the breakdown of mutation classes in positive cases

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