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Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus

Summary: Often in human genetic analysis, multiple tables of single nucleotide polymorphism (SNP) statistics are shown alongside a Haploview style correlation plot. Readers are then asked to make inferences that incorporate knowledge across these multiple sets of results. To better facilitate a coll...

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Detalles Bibliográficos
Autores principales: Bush, William S., Dudek, Scott M., Ritchie, Marylyn D.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820673/
https://www.ncbi.nlm.nih.gov/pubmed/20130027
http://dx.doi.org/10.1093/bioinformatics/btp678
Descripción
Sumario:Summary: Often in human genetic analysis, multiple tables of single nucleotide polymorphism (SNP) statistics are shown alongside a Haploview style correlation plot. Readers are then asked to make inferences that incorporate knowledge across these multiple sets of results. To better facilitate a collective understanding of all available data, we developed a Ruby-based web application, LD-Plus, to generate figures that simultaneously display physical location of SNPs, binary SNP attributes (such as coding/non-coding or presence on genotyping platforms), common haplotypes and their frequencies and continuously scaled values (such as F(st), minor allele frequency, genotyping efficiency or P-values), all in the context of the D′ and r(2) linkage disequilibrium structures. Combining these results into one comprehensive figure reduces dereferencing between figures and tables, and can provide unique insights into genetic features that are not clearly seen when results are partitioned across multiple figures and tables. Availability: LD-Plus is freely available for non-commercial research institutions. For full details see http://chgr.mc.vanderbilt.edu/ritchielab/ldplus. Contact: ritchie@chgr.mc.vanderbilt.edu