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

Overview of attention for article published in Human Genetics, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 2,976)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 policy sources
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95 X users
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Title
The landscape of genetic diseases in Saudi Arabia based on the first 1000 diagnostic panels and exomes
Published in
Human Genetics, June 2017
DOI 10.1007/s00439-017-1821-8
Pubmed ID
Authors

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

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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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 247 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 15%
Student > Ph. D. Student 32 13%
Student > Master 29 12%
Student > Bachelor 17 7%
Other 15 6%
Other 46 19%
Unknown 71 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 31%
Medicine and Dentistry 34 14%
Agricultural and Biological Sciences 14 6%
Neuroscience 12 5%
Nursing and Health Professions 8 3%
Other 19 8%
Unknown 84 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2022.
All research outputs
#469,695
of 25,707,225 outputs
Outputs from Human Genetics
#26
of 2,976 outputs
Outputs of similar age
#9,769
of 332,373 outputs
Outputs of similar age from Human Genetics
#1
of 22 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,976 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.