Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection

MJ Cowley, YC Liu, KL Oliver, G Carvill… - Human …, 2019 - Wiley Online Library
Rapid advances in genomic technologies have facilitated the identification pathogenic
variants causing human disease. We report siblings with developmental and epileptic …

Identifying disease-causing mutations in genomes of single patients by computational approaches

C Sevim Bayrak, Y Itan - Human Genetics, 2020 - Springer
Over the last decade next generation sequencing (NGS) has been extensively used to
identify new pathogenic mutations and genes causing rare genetic diseases. The efficient …

How to identify pathogenic mutations among all those variations: variant annotation and filtration in the genome sequencing era

D Salgado, MI Bellgard, JP Desvignes… - Human …, 2016 - Wiley Online Library
High‐throughput sequencing technologies have become fundamental for the identification
of disease‐causing mutations in human genetic diseases both in research and clinical …

Bioinformatics workflows for genomic variant discovery, interpretation and prioritization

OU Sezerman, E Ulgen, N Seymen… - Bioinformatics tools for …, 2019 - books.google.com
Next-generation sequencing (NGS) techniques allow high-throughput detection of a vast
amount of variations in a cost-efficient manner. However, there still are inconsistencies and …

Computational and experimental methods for classifying variants of unknown clinical significance

M Spielmann, M Kircher - Molecular Case Studies, 2022 - molecularcasestudies.cshlp.org
The increase in sequencing capacity, reduction in costs, and national and international
coordinated efforts have led to the widespread introduction of next-generation sequencing …

[HTML][HTML] Medical genomics: The intricate path from genetic variant identification to clinical interpretation

B Quintáns, A Ordóñez-Ugalde, P Cacheiro… - Applied & translational …, 2014 - Elsevier
The field of medical genomics involves translating high throughput genetic methods to the
clinic, in order to improve diagnostic efficiency and treatment decision making. Technical …

Systematic reanalysis of genomic data improves quality of variant interpretation

SM Hiatt, MD Amaral, KM Bowling, CR Finnila… - Clinical …, 2018 - Wiley Online Library
As genomic sequencing expands, so does our knowledge of the link between genetic
variation and disease. Deeper catalogs of variant frequencies improve identification of …

The Clinical Next‐Generation Sequencing Database: A Tool for the Unified Management of Clinical Information and Genetic Variants to Accelerate Variant …

S Nishio, S Usami - Human mutation, 2017 - Wiley Online Library
Recent advances in next‐generation sequencing (NGS) have given rise to new challenges
due to the difficulties in variant pathogenicity interpretation and large dataset management …

Lollipops in the clinic: information dense mutation plots for precision medicine

JJ Jay, C Brouwer - PloS one, 2016 - journals.plos.org
Introduction Concise visualization is critical to present large amounts of information in a
minimal space that can be interpreted quickly. Clinical applications in precision medicine …

A Likelihood-Based Framework for Variant Calling and De Novo Mutation Detection in Families

B Li, W Chen, X Zhan, F Busonero, S Sanna, C Sidore… - 2012 - journals.plos.org
Family samples, which can be enriched for rare causal variants by focusing on families with
multiple extreme individuals and which facilitate detection of de novo mutation events …