Genome-wide association mapping in bacteria?

@article{citeulike:1533140, abstract = {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.}, author = {Falush, Daniel and Bowden, Rory }, citeulike-article-id = {1533140}, doi = {http://dx.doi.org/10.1016/j.tim.2006.06.003}, journal = {Trends in Microbiology}, month = {August}, number = {8}, pages = {353--355}, posted-at = {2007-08-03 11:51:04}, priority = {2}, title = {Genome-wide association mapping in bacteria?}, url = {http://dx.doi.org/10.1016/j.tim.2006.06.003}, volume = {14}, year = {2006} }

TY - JOUR ID - citeulike:1533140 L3 - citeulike-article-id:1533140 TI - Genome-wide association mapping in bacteria? JF - Trends in Microbiology VL - 14 IS - 8 SP - 353 EP - 355 N2 - 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. AU - Falush, Daniel AU - Bowden, Rory PY - 2006/08// UR - http://dx.doi.org/10.1016/j.tim.2006.06.003 ER -