A data-driven architecture using natural language processing to improve phenotyping efficiency and accelerate genetic diagnoses of rare disorders.

Effective genetic diagnosis requires the correlation of genetic variant data with detailed phenotypic information. However, manual encoding of clinical data into machine-readable forms is laborious and subject to observer bias. Natural language processing (NLP) of electronic health records has great potential to enhance reproducibility at scale but suffers from idiosyncrasies in physician notes and other medical records.

Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation.

By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however, precludes widespread implementation. We describe a platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation.

The role of calculated non-caeruloplasmin-bound copper in Wilson's disease.

Background US and European guidelines suggest the use of calculated non-caeruloplasmin-bound copper (free copper index) for the diagnosis and management of Wilson's Disease. However, there is concern that the required analytical measurements of caeruloplasmin and copper may not be sufficiently robust at the concentrations usually found. Methods Aliquots of six plasma specimens were sent to laboratories participating in the UK National External Quality Assessment Scheme for copper and caeruloplasmin.

The risk of copper deficiency in patients prescribed zinc supplements.

Aims: In high doses zinc may cause copper deficiency, a diagnosis that is often missed resulting in anaemia, neutropenia and irreversible neurological symptoms. The aim of this study was to assess if zinc deficiency is erroneously diagnosed by misinterpretation of plasma zinc concentrations and whether copper deficiency is induced in patients prescribed zinc.

Methods: Casenotes of 70 patients prescribed zinc were scrutinised.