Linked Life Data

16782339

Source:http://linkedlifedata.com/resource/pubmed/id/16782339

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2006-7-31
pubmed:abstractText
Bacteria display many interesting phenotypes such as virulence, tissue specificity and host range, for which it would be useful to know the genetic basis. Association mapping involves identifying causal variants by showing that particular genotypes are statistically associated with a phenotypic trait in a sample of strains taken from a natural population. With the advent of high-throughput genotyping, association mapping is becoming an increasingly powerful approach. However, until recently, association studies had not been used in bacteria because of their strong population structure, which can produce false positives and/or loss of statistical power unless elucidated and taken into account in analyses. Here, we describe how association mapping could be successfully applied to bacteria and outline the necessary sampling and genotyping strategies.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0966-842X
pubmed:author
pubmed:issnType
Print
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
353-5
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Genome-wide association mapping in bacteria?
pubmed:affiliation
Peter Medawar Building for Pathogen Research, South Parks Road, Oxford OX1 3SY, UK. falush@stats.ox.ac.uk
pubmed:publicationType
Journal Article