Evidence map›Paper›PMID 24689075›Full record

ArticleMolecular genetics & genomic medicine2014

Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet-Biedl family.

María González-Del Pozo, Cristina Méndez-Vidal, Javier Santoyo-Lopez, Alicia Vela-Boza, Nereida Bravo-Gil, Antonio Rueda, Luz García-Alonso, Carmen Vázquez-Marouschek, Joaquín Dopazo, Salud Borrego and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2014. 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
0.9field-weighted citation impact, top 22% 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, 16 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

María González-Del PozoDepartment of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville Seville, Spain ; Centre for Biomedical Network Research on Rare Diseases (CIBERER) Seville, Spain.
Cristina Méndez-VidalDepartment of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville Seville, Spain ; Centre for Biomedical Network Research on Rare Diseases (CIBERER) Seville, Spain.
Javier Santoyo-LopezMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA) Seville, Spain.
Alicia Vela-BozaMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA) Seville, Spain.
Nereida Bravo-GilDepartment of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville Seville, Spain.
Antonio RuedaMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA) Seville, Spain.
Luz García-AlonsoDepartment of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF) Valencia, Spain.
Carmen Vázquez-MarouschekDepartment of Ophthalmology, University Hospital Virgen del Rocío Seville, Spain.
Joaquín DopazoMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA) Seville, Spain ; Department of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF) Valencia, Spain ; Functional Genomics Node (INB), CIPF Valencia, Spain.
Salud BorregoDepartment of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville Seville, Spain ; Centre for Biomedical Network Research on Rare Diseases (CIBERER) Seville, Spain.
Guillermo AntiñoloDepartment of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville Seville, Spain ; Centre for Biomedical Network Research on Rare Diseases (CIBERER) Seville, Spain ; Medical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA) Seville, Spain.
Universidad de Sevilla · ESCentro de Investigacion Principe Felipe · ESHospital Universitario Virgen del Rocío · ESInstituto de Biomedicina de Sevilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bardet-Biedl syndrome (BBS) is a model ciliopathy characterized by a wide range of clinical variability. The heterogeneity of this condition is reflected in the number of underlying gene defects and the epistatic interactions between the proteins encoded. BBS is generally inherited in an autosomal recessive trait. However, in some families, mutations across different loci interact to modulate the expressivity of the phenotype. In order to investigate the magnitude of epistasis in one BBS family with remarkable intrafamilial phenotypic variability, we designed an exome sequencing-based approach using SOLID 5500xl platform. This strategy allowed the reliable detection of the primary causal mutations in our family consisting of two novel compound heterozygous mutations in McKusick-Kaufman syndrome (MKKS) gene (p.D90G and p.V396F). Additionally, exome sequencing enabled the detection of one novel heterozygous NPHP4 variant which is predicted to activate a cryptic acceptor splice site and is only present in the most severely affected patient. Here, we provide an exome sequencing analysis of a BBS family and show the potential utility of this tool, in combination with network analysis, to detect disease-causing mutations and second-site modifiers. Our data demonstrate how next-generation sequencing (NGS) can facilitate the dissection of epistatic phenomena, and shed light on the genetic basis of phenotypic variability.

Indexed as

Bardet–Biedl Syndromeintrafamilial variabilityMKKSNGSNPHP4

Identifiers

PMID24689075
PMCPMC3960054
OpenAlexW2043195510

What OpenQuestion holds

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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.