AUDACITY: A Comprehensive Approach for the Detection and Classification of Runs of Homozygosity in Medical and Population Genomics

Overview

Journal Comput Struct Biotechnol J

Specialty Biotechnology

Date 2020 Aug 11

PMID 32774790

Citations 2

Authors

Alberto Magi

Tania Giangregorio

Roberto Semeraro

Giulia Carangelo

Flavia Palombo

Giovanni Romeo

Marco Seri

Tommaso Pippucci

Affiliations

Soon will be listed here.

Abstract

Runs of Homozygosity (RoHs) are popular among geneticists as the footprint of demographic processes, evolutionary forces and inbreeding in shaping our genome, and are known to confer risk of Mendelian and complex diseases. Notwithstanding growing interest in their study, there is unmet need for reliable and rapid methods for genomic analyses in large data sets. AUDACITY is a tool integrating novel RoH detection algorithm and autozygosity prediction score for prioritization of mutation-surrounding regions. It processes data in VCF file format, and outperforms existing methods in identifying RoHs of any size. Simulations and analysis of real exomes/genomes show its potential to foster future RoH studies in medical and population genomics.

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