6 results match your criteria: "Central Manchester University Hospitals NHS Foundation Trust Manchester Academic Health Sciences Centre.[Affiliation]"

PEDIA: prioritization of exome data by image analysis.

Genet Med

December 2019

Institute of Genomic Statistics and Bioinformatics, University of Bonn, Bonn, Germany.

Purpose: Phenotype information is crucial for the interpretation of genomic variants. So far it has only been accessible for bioinformatics workflows after encoding into clinical terms by expert dysmorphologists.

Methods: Here, we introduce an approach driven by artificial intelligence that uses portrait photographs for the interpretation of clinical exome data.

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Article Synopsis
  • The article had a spelling error in the author's name, Pleuntje J. van der Sluijs.
  • It was incorrectly listed as Eline (P. J.) van der Sluijs.
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Purpose: Pathogenic variants in ARID1B are one of the most frequent causes of intellectual disability (ID) as determined by large-scale exome sequencing studies. Most studies published thus far describe clinically diagnosed Coffin-Siris patients (ARID1B-CSS) and it is unclear whether these data are representative for patients identified through sequencing of unbiased ID cohorts (ARID1B-ID). We therefore sought to determine genotypic and phenotypic differences between ARID1B-ID and ARID1B-CSS.

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Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are X-linked recessive degenerative muscular conditions. Carrier testing is available to at-risk females. Though carrier testing is often offered to adolescent females, it raises ethical issues related to autonomy.

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Introduction: Recent evidence has emerged linking mutations in to syndromic congenital heart disease. We present here genetic and phenotypic data pertaining to 16 individuals with mutations.

Methods: Patients were investigated by exome sequencing, having presented with developmental delay and additional features suggestive of a syndromic cause.

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