Evidence map›Paper›PMID 16643648›Full record

ArticleBMC bioinformatics2006

MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers.

Tom R Gaunt, Santiago Rodriguez, Carlos Zapata, Ian N M Day

Abstract read
In one paragraph

Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Association ofNeurology international · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tom R GauntHuman Genetics Division, University of Southampton, School of Medicine, Duthie Building (MP 808), Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK. Tom.Gaunt@soton.ac.uk
Santiago Rodriguez
Carlos Zapata
Ian N M Day

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious software tools are available for the display of pairwise linkage disequilibrium across multiple single nucleotide polymorphisms. The HapMap project also presents these graphics within their website. However, these approaches are limited in their use of data from multiallelic markers and provide limited information in a graphical form.

resultsWe have developed a software package (MIDAS - Multiallelic Interallelic Disequilibrium Analysis Software) for the estimation and graphical display of interallelic linkage disequilibrium. Linkage disequilibrium is analysed for each allelic combination (of one allele from each of two loci), between all pairwise combinations of any type of multiallelic loci in a contig (or any set) of many loci (including single nucleotide polymorphisms, microsatellites, minisatellites and haplotypes). Data are presented graphically in a novel and informative way, and can also be exported in tabular form for other analyses. This approach facilitates visualisation of patterns of linkage disequilibrium across genomic regions, analysis of the relationships between different alleles of multiallelic markers and inferences about patterns of evolution and selection.

conclusionMIDAS is a linkage disequilibrium analysis program with a comprehensive graphical user interface providing novel views of patterns of linkage disequilibrium between all types of multiallelic and biallelic markers.

Indexed as

AllelesComputer GraphicsSoftwareUser-Computer InterfaceAlgorithmsChromosome MappingDNA Mutational AnalysisGenetic MarkersLinkage DisequilibriumPolymorphism, GeneticPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID16643648
PMCPMC1479374

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.