Central resources of variant discovery and annotation and its role in precision medicine

Author:

Halim-Fikri Hashim1ORCID,Syed-Hassan Sharifah-Nany Rahayu-Karmilla1ORCID,Wan-Juhari Wan-Khairunnisa12ORCID,Assyuhada Mat Ghani Siti Nor1ORCID,Hernaningsih Yetti3ORCID,Yusoff Narazah Mohd34ORCID,Merican Amir Feisal56ORCID,Zilfalil Bin Alwi12ORCID

Affiliation:

1. Malaysian Node of the Human Variome Project, School of Medical Sciences , Universiti Sains Malaysia , Kelantan , Malaysia

2. Human Genome Centre, School of Medical Sciences , Universiti Sains Malaysia , Kelantan , Malaysia

3. Department of Clinical Pathology , Faculty of Medicine Universitas Airlangga , Dr. Soetomo Academic General Hospital , Surabaya , Indonesia

4. Clinical Diagnostic Laboratory , Advanced Medical and Dental Institute , Universiti Sains Malaysia , Penang , Malaysia

5. Institute of Biological Sciences, Faculty of Science , University of Malaya , Kuala Lumpur , Malaysia

6. Center of Research for Computational Sciences and Informatics in Biology, Bio Industry, Environment, Agriculture and Healthcare (CRYSTAL) , University of Malaya , Kuala Lumpur , Malaysia

Abstract

Abstract Rapid technological advancement in high-throughput genomics, microarray, and deep sequencing technologies has accelerated the possibility of more complex precision medicine research using large amounts of heterogeneous health-related data from patients, including genomic variants. Genomic variants can be identified and annotated based on the reference human genome either within the sequence as a whole or in a putative functional genomic element. The American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) mutually created standards and guidelines for the appraisal of proof to expand consistency and straightforwardness in clinical variation interpretations. Various efforts toward precision medicine have been facilitated by many national and international public databases that classify and annotate genomic variation. In the present study, several resources are highlighted with recognition and data spreading of clinically important genetic variations.

Publisher

Walter de Gruyter GmbH

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