Evidence map›Paper›PMID 31604968›Full record

ArticleScientific reports2019

Introducing the first whole genomes of nationals from the United Arab Emirates.

Habiba S AlSafar, Mariam Al-Ali, Gihan Daw Elbait, Mustafa H Al-Maini, Dymitr Ruta, Braulio Peramo, Andreas Henschel, Guan K Tay

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Appreciating diversity: a review of the Iranian genomic landscape.European journal of human genetics : EJHG · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The FGF-21 genetic variantsJournal of advanced research · 2020
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Habiba S AlSafarCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Mariam Al-AliCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Gihan Daw ElbaitCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Mustafa H Al-MainiMafraq Hospital, Abu Dhabi, United Arab Emirates.
Dymitr RutaEtisalat-British Telecom Innovation Center, Abu Dhabi, United Arab Emirates.
Braulio PeramoAl Ain Fertility Center, Al Ain, United Arab Emirates.
Andreas HenschelCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Guan K TayCenter of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. guan.tay@ku.ac.ae.ORCID http://orcid.org/0000-0001-6639-3298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole Genome Sequencing (WGS) provides an in depth description of genome variation. In the era of large-scale population genome projects, the assembly of ethnic-specific genomes combined with mapping human reference genomes of underrepresented populations has improved the understanding of human diversity and disease associations. In this study, for the first time, whole genome sequences of two nationals of the United Arab Emirates (UAE) at >27X coverage are reported. The two Emirati individuals were predominantly of Central/South Asian ancestry. An in-house customized pipeline using BWA, Picard followed by the GATK tools to map the raw data from whole genome sequences of both individuals was used. A total of 3,994,521 variants (3,350,574 Single Nucleotide Polymorphisms (SNPs) and 643,947 indels) were identified for the first individual, the UAE S001 sample. A similar number of variants, 4,031,580 (3,373,501 SNPs and 658,079 indels), were identified for UAE S002. Variants that are associated with diabetes, hypertension, increased cholesterol levels, and obesity were also identified in these individuals. These Whole Genome Sequences has provided a starting point for constructing a UAE reference panel which will lead to improvements in the delivery of precision medicine, quality of life for affected individuals and a reduction in healthcare costs. The information compiled will likely lead to the identification of target genes that could potentially lead to the development of novel therapeutic modalities.

Indexed as

Genome, HumanINDEL MutationPolymorphism, Single NucleotideAged, 80 and overAsian PeopleFemaleHaplotypesHigh-Throughput Nucleotide SequencingHumansMalePrecision MedicineQuality of LifeUnited Arab EmiratesWhole Genome Sequencing

Identifiers

PMID31604968
PMCPMC6789106

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.