Evidence map›Paper›PMID 27703147›Full record

ArticleEuropean journal of human genetics : EJHG2017

Variants in SKP1, PROB1, and IL17B genes at keratoconus 5q31.1-q35.3 susceptibility locus identified by whole-exome sequencing.

Justyna A Karolak, Tomasz Gambin, Jose A Pitarque, Andrea Molinari, Shalini Jhangiani, Pawel Stankiewicz, James R Lupski, Marzena Gajecka

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Keratoconus.Nature reviews. Disease primers · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hexokinase domain-containing protein-1 in metabolic diseases and beyond.Trends in endocrinology and metabolism: TEM · 2022
    Review
  9. Article
  10. Article
  11. Genomic strategies to understand causes of keratoconus.Molecular genetics and genomics : MGG · 2017
    Review
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 at 6 institutions in 3 countries.

Justyna A KarolakDepartment of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland.
Tomasz GambinInstitute of Computer Science, Warsaw University of Technology, Warsaw, Poland.
Jose A PitarqueDepartment of Ophthalmology, Hospital Metropolitano, Quito, Ecuador.
Andrea MolinariDepartment of Ophthalmology, Hospital Metropolitano, Quito, Ecuador.
Shalini JhangianiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Pawel StankiewiczDepartment of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA.
James R LupskiDepartment of Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Marzena GajeckaDepartment of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland. gamar@man.poznan.pl.
Baylor College of Medicine · USHospital Metropolitano · ECInstitute of Computer Science · PLPolish Academy of Sciences · PLPoznan University of Medical Sciences · PLTexas Children's Hospital · US

Funding

Baylor-Johns Hopkins Center for Mendelian GeneticsU54HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2012 to 2015
$15.6M
Baylor-Johns Hopkins Center for Mendelian GeneticsUM1HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2016 to 2020
$14.5M
NHGRI NIH HHS U54 HG006542NHGRI NIH HHS UM1 HG006542
6 · The paper itself

Abstract

Keratoconus (KTCN) is a protrusion and thinning of the cornea, resulting in impairment of visual function. The extreme genetic heterogeneity makes it difficult to discover factors unambiguously influencing the KTCN phenotype. In this study, we used whole-exome sequencing (WES) and Sanger sequencing to reduce the number of candidate genes at the 5q31.1-q35.3 locus and to prioritize other potentially relevant variants in an Ecuadorian family with KTCN. We applied WES in two affected KTCN individuals from the Ecuadorian family that showed a suggestive linkage between the KTCN phenotype and the 5q31.1-q35.3 locus. Putative variants identified by WES were further evaluated in this family using Sanger sequencing. Exome capture discovered a total of 173 rare (minor allele frequency <0.001 in control population) nonsynonymous variants in both affected individuals. Among them, 16 SNVs were selected for further evaluation. Segregation analysis revealed that variants c.475T>G in SKP1, c.671G>A in PROB1, and c.527G>A in IL17B in the 5q31.1-q35.3 linkage region, and c.850G>A in HKDC1 in the 10q22 locus completely segregated with the phenotype in the studied KTCN family. We demonstrate that a combination of various techniques significantly narrowed the studied genomic region and reduced the list of the putative exonic variants. Moreover, since this locus overlapped two other chromosomal regions previously recognized in distinct KTCN studies, our findings suggest that this 5q31.1-q35.3 locus might be linked with KTCN.

Indexed as

Chromosomes, Human, Pair 5ExomeFemaleGene FrequencyGenetic LinkageGenetic Predisposition to DiseaseGenome, HumanHexokinaseHigh-Throughput Nucleotide SequencingHumansInterleukin-17KeratoconusMalePedigreePhenotypeProteinsHexokinaseHKDC1 protein, humanIL17B protein, humanInterleukin-17PROB1 protein, humanProteinsSKP1 protein, humanS-Phase Kinase-Associated Proteins

Identifiers

PMID27703147
PMCPMC5159765
OpenAlexW2557629448

What OpenQuestion holds

Textmetadata
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.