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Conclusions--scientific research and its implications.

Abstract

The organizers of this meeting felt that it would be appropriate to have two short papers at the end of this volume to summarize the key points that are of relevance to scientists and the insurance and actuarial professions. This was felt to be of particular importance given the very heterogeneous backgrounds of members of the audience at the meeting, namely, scientific, medical, legal, social and financial. The objectives are to summarize the key issues in layman's terms-trying to avoid jargon, exaggeration and a partisan approach. In some ways my task is somewhat easier than Chris Daykin's job, since there are only four scientific and medical presentations compared with seven from the actuarial, social and legal side. I will organize this brief report, which by definition will involve repetition of some of the points made in the scientific and medical papers in this volume, into three areas: (1) introductory comments on demography and evolution relevant to human genetics; (2) the scientific opportunities; and (3) a brief comment on their implications for the health and care of individuals.

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BibTeXRIS

R M Anderson. 1997-08-29. Conclusions--scientific research and its implications.. https://doi.org/10.1098/rstb.1997.0092

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Exome sequencing and large-scale analysis of electronic medical record-linked biobank data identify candidate deafness genes.

INTRODUCTION: Rapid advances in whole-exome sequencing (WES) have enabled large-scale detection of pathogenic variants. Although hundreds of genes are implicated in hearing loss, up to half of inherited cases remain unsolved, limiting eligibility for gene therapy trials that require genetic diagnosis. Biobanks and electronic medical records (EMRs) offer opportunities to integrate genomic and clinical data at scale and expand the spectrum of hearing loss genes. Despite clinical value, EMRs often lack key information such as inheritance patterns, posing challenges for accurate interpretation. METHODS: WES was performed on DNA samples from 1038 hearing-impaired patients enrolled in the Maccabi Research and Innovation Center Tipa Biobank. Clinical data were extracted from EMRs. Audiograms were available for all cases, although data on age of onset, family history and mode of inheritance were mostly unavailable. We applied a scalable bioinformatics analysis strategy for high-throughput annotation, filtering and prioritisation of WES variants across more than 1000 patients, designed to accommodate incomplete and heterogeneous clinical records. RESULTS: Using this approach, 15% of cases were solved or potentially solved through known or novel variants in established deafness genes. Homozygous variants in novel candidate genes were identified in 3% of cases. Functional characterisation was performed for promising candidate genes to validate their role in the ear. CONCLUSION: These findings demonstrate that WES can determine disease aetiology in large, genetically heterogeneous populations, even in the context of incomplete clinical data. This approach supports large-scale genetic screening and provides a framework for identifying patients who may benefit from emerging gene-based therapies.

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