PT  - JOURNAL ARTICLE
AU  - Twine, Natalie A.
AU  - Szul, Piotr
AU  - Henden, Lyndal
AU  - McCann, Emily P.
AU  - Blair, Ian P.
AU  - Williams, Kelly L.
AU  - Bauer, Denis C.
TI  - TRIBES: A user-friendly pipeline for relatedness detection and disease gene discovery
AID  - 10.1101/686253
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 686253
4099  - http://biorxiv.org/content/early/2019/07/02/686253.short
4100  - http://biorxiv.org/content/early/2019/07/02/686253.full
AB  - Summary TRIBES is a user-friendly pipeline for relatedness detection in genomic data. TRIBES is the first tool which is both accurate up to 7th degree relatives (e.g. third cousins) and combines essential data processing steps into a single user-friendly pipeline. Furthermore, using a proof-of-principle cohort comprising amyotrophic lateral sclerosis cases with known relationship structures and a known causal mutation in SOD1, we demonstrated that TRIBES can successfully uncover disease susceptibility loci. TRIBES has multiple applications in addition to disease gene mapping, including sample quality control in genome wide association studies and avoiding consanguineous unions in family planning.Availability TRIBES is freely available on GitHub: https://github.com/aehrc/TRIBES/Contact natalie.twine{at}csiro.auSupplementary information XXXX