Evidence map›Paper›PMID 36755831›Full record

ArticleClinical kidney journal2023

The genetic landscape of autosomal dominant polycystic kidney disease in Kuwait.

Hamad Ali, Medhat Naim, Sarah R Senum, Ali AlSahow, Yousif Bahbahani, Mohamed Abu-Farha, Jehad Abubaker, Anwar Mohammad, Adel Al-Hunayan, Akram M Asbeutah and 10 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Monoallelic pathogenicClinical kidney journal · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

20 authors at 6 institutions in 2 countries.

Hamad AliDepartment of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait.ORCID https://orcid.org/0000-0001-6623-3374
Medhat NaimDivision of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait.
Sarah R SenumDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Ali AlSahowDivision of Nephrology, Al-Jahra Hospital, Ministry of Health, Al-Jahra, Kuwait.ORCID https://orcid.org/0000-0001-8081-3244
Yousif BahbahaniDivision of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait.
Mohamed Abu-FarhaDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait.
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait.
Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait.
Adel Al-HunayanDepartment of Surgery, Faculty of Medicine, Health Sciences Center, Kuwait University, Jabriya, Kuwait.
Akram M AsbeutahDepartment of Radiological Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait.
Mohamed ZayedDepartment of Radiology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait.
Sriraman DevarajanNational Dasman Diabetes Biobank, Dasman Diabetes Institute, Dasman, Kuwait.
Naser HussainDivision of Nephrology, Mubarak Al-Kabeer Hospital, Ministry of Health, Jabriya, Kuwait.
Sumi Elsa JohnDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Arshad ChannanathDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Mohammad Al-AliNext Generation Sequencing Laboratory, Kuwait Medical Genetics Center, Ministry of Health, Sulaibikhat, Kuwait.
Mustafa AlMousawiDepartment of Transplantation, Hamed Al Essa Organ Transplant Centre, Ministry of Health, Kuwait City, Kuwait.
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Peter C HarrisDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Dasman Diabetes Institute · KWMubarak Al Kabeer Hospital · KWKuwait University · KWMayo Clinic · USMinistry of Health · KWJahra Hospital · KW

Funding

ADPKD:Disease Spectrum &Genotype-Phenotype CorrelationsR01DK058816 · NIDDK · MAYO CLINIC ROCHESTER · PI Peter C. Harris · 2001 to 2026
$11.3M
NIDDK NIH HHS R01 DK058816
6 · The paper itself

Abstract

Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common renal monogenic disease, characterized by bilateral accumulation of renal fluid-filled cysts leading to progressive renal volume enlargement and gradual impairment of kidney function, often resulting in end-stage renal disease. Kuwait could provide valuable genetic insights about ADPKD, including intrafamilial phenotypic variation, given its large household size. This study aims to provide a comprehensive description of the pathogenic variants linked to ADPKD in the Kuwaiti population using multiple genetic analysis modalities and to describe and analyse the ADPKD phenotypic spectrum in terms of kidney function, kidney volume and renal survival. Methods: A total of 126 ADPKD patients from 11 multiplex families and 25 singletons were recruited into the study. A combination of targeted next-generation sequencing (tNGS), long-range polymerase chain reaction, Sanger sequencing and multiplex ligation-dependent probe amplification were utilized for genetic diagnosis. Clinical evaluation was conducted through renal function testing and ultrasonographic kidney volume analysis. Results: We identified 29 ADPKD pathogenic mutations from 36 families achieving an overall molecular genetic diagnostic rate of 112/126 (88.9%), including 29/36 (80.6%) in families. A total of 28/36 (77.8%) families had pathogenic mutations in Conclusion: We describe for the first time the genetic landscape of ADPKD in Kuwait. The observed genetic heterogeneity underlining ADPKD along with the wide phenotypic spectrum reveal the level of complexity in disease pathophysiology. ADPKD genetic testing could improve the care of patients through improved disease prognostication, guided treatment and genetic counselling. However, to fulfil the potential of genetic testing, it is important to overcome the hurdle of genetically unresolved ADPKD cases.

Indexed as

eGFRhtTKVIFT140polycystic kidney diseaseTSC2/PKD1 contiguous gene syndrome

Identifiers

PMID36755831
PMCPMC9900584
OpenAlexW4307810427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.