Evidence map›Paper›PMID 38515211›Full record

ArticleGenome medicine2024

Diversity of CFTR variants across ancestries characterized using 454,727 UK biobank whole exome sequences.

Justin E Ideozu, Mengzhen Liu, Bridget M Riley-Gillis, Sri R Paladugu, Fedik Rahimov, Preethi Krishnan, Rakesh Tripathi, Patrick Dorr, Hara Levy, Ashvani Singh and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. 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
8.4field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
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  15. [Detection of pathogenic gene mutations in thirteen cases of congenital bilateral absence of vas deferens infertility patients].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
    Article
  16. Article
  17. Article
  18. Exome sequencing of UK birth cohorts.Wellcome open research · 2024
    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

12 authors at 2 institutions in 1 country.

Justin E IdeozuGenomic Medicine, Genomics Research Center, AbbVie, Chicago, IL, USA. justin.ideozu@abbvie.com.
Mengzhen LiuHuman Genetics, Genomics Research Center, AbbVie, Chicago, IL, USA.
Bridget M Riley-GillisHuman Genetics, Genomics Research Center, AbbVie, Chicago, IL, USA.
Sri R PaladuguHuman Genetics, Genomics Research Center, AbbVie, Chicago, IL, USA.
Fedik RahimovHuman Genetics, Genomics Research Center, AbbVie, Chicago, IL, USA.
Preethi KrishnanPrecision Medicine, AbbVie, Chicago, IL, USA.
Rakesh TripathiPrecision Medicine, AbbVie, Chicago, IL, USA.
Patrick DorrPrecision Medicine, AbbVie, Chicago, IL, USA.
Hara LevyDepartment of Pediatrics, Division of Pulmonology and Sleep Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Ashvani SinghDiscovery Research, AbbVie, Chicago, IL, USA.
Jeffrey F WaringGenomic Medicine, Genomics Research Center, AbbVie, Chicago, IL, USA.
Aparna VasanthakumarGenomic Medicine, Genomics Research Center, AbbVie, Chicago, IL, USA.
AbbVie (United States) · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited understanding of the diversity of variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene across ancestries hampers efforts to advance molecular diagnosis of cystic fibrosis (CF). The consequences pose a risk of delayed diagnoses and subsequently worsened health outcomes for patients. Therefore, characterizing the spectrum of CFTR variants across ancestries is critical for revolutionizing molecular diagnoses of CF.

methodsWe analyzed 454,727 UK Biobank (UKBB) whole-exome sequences to characterize the diversity of CFTR variants across ancestries. Using the PanUKBB classification, the participants were assigned into six major groups: African (AFR), American/American Admixed (AMR), Central South Asia (CSA), East Asian (EAS), European (EUR), and Middle East (MID). We segregated ancestry-specific CFTR variants, including those that are CF-causing or clinically relevant. The ages of certain CF-causing variants were determined and analyzed for selective pressure effects, and curated phenotype analysis was performed for participants with clinically relevant CFTR genotypes.

resultsWe detected over 4000 CFTR variants, including novel ancestry-specific variants, across six ancestries. Europeans had the most unique CFTR variants [n = 2212], while the American group had the least unique variants [n = 23]. F508del was the most prevalent CF-causing variant found in all ancestries, except in EAS, where V520F was the most prevalent. Common EAS variants such as 3600G > A, V456A, and V520, which appeared approximately 270, 215, and 338 generations ago, respectively, did not show evidence of selective pressure. Sixteen participants had two CF-causing variants, with two being diagnosed with CF. We found 154 participants harboring a CF-causing and varying clinical consequences (VCC) variant. Phenotype analysis performed for participants with multiple clinically relevant variants returned significant associations with CF and its pulmonary phenotypes [Bonferroni-adjusted p < 0.05].

conclusionsWe leveraged the UKBB database to comprehensively characterize the broad spectrum of CFTR variants across ancestries. The detection of over 4000 CFTR variants, including several ancestry-specific and uncharacterized CFTR variants, warrants the need for further characterization of their functional and clinical relevance. Overall, the presentation of classical CF phenotypes seen in non-CF diagnosed participants with more than one CF-causing variant indicates that they may benefit from current CFTR modulator therapies.

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorBiological Specimen BanksExomeHumansMutationUK BiobankCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorCFTRCystic fibrosisUK biobankWhole exome sequencing

Identifiers

PMID38515211
PMCPMC10956269
OpenAlexW4393041737

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.