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Clinical Genetics
Article . 2014 . Peer-reviewed
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Clinical Genetics
Article
License: CC BY
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PubMed Central
Other literature type . 2015
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UCL Discovery
Article . 2015
Data sources: UCL Discovery
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Genetic predictors of cardiovascular morbidity in Bardet–Biedl syndrome

Authors: Forsythe, E; Sparks, K; Hoskins, BE; Bagkeris, E; McGowan, BM; Carroll, PV; Huda, MS; +5 Authors

Genetic predictors of cardiovascular morbidity in Bardet–Biedl syndrome

Abstract

Bardet–Biedl syndrome is a rare ciliopathy characterized by retinal dystrophy, obesity, intellectual disability, polydactyly, hypogonadism and renal impairment. Patients are at high risk of cardiovascular disease. Mutations in BBS1 and BBS10 account for more than half of those with molecular confirmation of the diagnosis. To elucidate genotype–phenotype correlations with respect to cardiovascular risk indicators 50 patients with mutations in BBS1 were compared with 19 patients harbouring BBS10 mutations. All patients had truncating, missense or compound missense/truncating mutations. The effect of genotype and mutation type was analysed. C‐reactive protein was higher in those with mutations in BBS10 and homozygous truncating mutations (p = 0.013 and p = 0.002, respectively). Patients with mutations in BBS10 had higher levels of C peptide than those with mutations in BBS1 (p = 0.043). Triglyceride levels were significantly elevated in patients with homozygous truncating mutations (p = 0.048). Gamma glutamyl transferase was higher in patients with homozygous truncating mutations (p = 0.007) and heterozygous missense and truncating mutations (p = 0.002) than those with homozygous missense mutations. The results are compared with clinical cardiovascular risk factors. Patients with missense mutations in BBS1 have lower biochemical cardiovascular disease markers compared with patients with BBS10 and other BBS1 mutations. This could contribute to stratification of the clinical service.

Country
United Kingdom
Keywords

C-Peptide, Chaperonins, mutation type, Group II Chaperonins, cardiovascular morbidity, genotype-phenotype correlation, Statistics, Nonparametric, Phenotype, Short Reports, Cardiovascular Diseases, Risk Factors, Mutation, Bardet-Biedl syndrome, Humans, Genetic Testing, Bardet-Biedl Syndrome, Microtubule-Associated Proteins, Triglycerides, gamma-Glutamylcyclotransferase

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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