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LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS.

Publication ,  Journal Article
Panjwani, N; Wang, F; Mastromatteo, S; Bao, A; Wang, C; He, G; Gong, J; Rommens, JM; Sun, L; Strug, LJ
Published in: PLoS Comput Biol
October 2020

Genome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and tissues of origin to guide functional characterization. Here, we present a web-based colocalization browsing and testing tool named LocusFocus (https://locusfocus.research.sickkids.ca). LocusFocus formally tests colocalization using our established Simple Sum method to identify the most relevant genes and tissues for a particular GWAS locus in the presence of high linkage disequilibrium and/or allelic heterogeneity. We demonstrate the utility of LocusFocus, following up on a genome-wide significant locus from a GWAS of meconium ileus (an intestinal obstruction in cystic fibrosis). Using LocusFocus for colocalization analysis with eQTL data suggests variation in ATP12A gene expression in the pancreas rather than intestine is responsible for the GWAS locus. LocusFocus has no operating system dependencies and may be installed in a local web server. LocusFocus is available under the MIT license, with full documentation and source code accessible on GitHub at https://github.com/naim-panjwani/LocusFocus.

Duke Scholars

Published In

PLoS Comput Biol

DOI

EISSN

1553-7358

Publication Date

October 2020

Volume

16

Issue

10

Start / End Page

e1008336

Location

United States

Related Subject Headings

  • Software
  • Quantitative Trait Loci
  • Polymorphism, Single Nucleotide
  • Molecular Sequence Annotation
  • Linkage Disequilibrium
  • Internet
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Cystic Fibrosis
 

Citation

APA
Chicago
ICMJE
MLA
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Panjwani, N., Wang, F., Mastromatteo, S., Bao, A., Wang, C., He, G., … Strug, L. J. (2020). LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS. PLoS Comput Biol, 16(10), e1008336. https://doi.org/10.1371/journal.pcbi.1008336
Panjwani, Naim, Fan Wang, Scott Mastromatteo, Allen Bao, Cheng Wang, Gengming He, Jiafen Gong, Johanna M. Rommens, Lei Sun, and Lisa J. Strug. “LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS.PLoS Comput Biol 16, no. 10 (October 2020): e1008336. https://doi.org/10.1371/journal.pcbi.1008336.
Panjwani N, Wang F, Mastromatteo S, Bao A, Wang C, He G, et al. LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS. PLoS Comput Biol. 2020 Oct;16(10):e1008336.
Panjwani, Naim, et al. “LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS.PLoS Comput Biol, vol. 16, no. 10, Oct. 2020, p. e1008336. Pubmed, doi:10.1371/journal.pcbi.1008336.
Panjwani N, Wang F, Mastromatteo S, Bao A, Wang C, He G, Gong J, Rommens JM, Sun L, Strug LJ. LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS. PLoS Comput Biol. 2020 Oct;16(10):e1008336.

Published In

PLoS Comput Biol

DOI

EISSN

1553-7358

Publication Date

October 2020

Volume

16

Issue

10

Start / End Page

e1008336

Location

United States

Related Subject Headings

  • Software
  • Quantitative Trait Loci
  • Polymorphism, Single Nucleotide
  • Molecular Sequence Annotation
  • Linkage Disequilibrium
  • Internet
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Cystic Fibrosis