The nature and identification of quantitative trait loci: A community’s view
1. Nat Rev Genet. 2003 Nov;4(11):911-6.
The nature and identification of quantitative trait loci: a community’s view.
Abiola O, Angel JM, Avner P, Bachmanov AA, Belknap JK, Bennett B, Blankenhorn EP,
Blizard DA, Bolivar V, Brockmann GA, Buck KJ, Bureau JF, Casley WL, Chesler EJ,
Cheverud JM, Churchill GA, Cook M, Crabbe JC, Crusio WE, Darvasi A, de Haan G,
Dermant P, Doerge RW, Elliot RW, Farber CR, Flaherty L, Flint J, Gershenfeld H,
Gibson JP, Gu J, Gu W, Himmelbauer H, Hitzemann R, Hsu HC, Hunter K, Iraqi FF,
Jansen RC, Johnson TE, Jones BC, Kempermann G, Lammert F, Lu L, Manly KF,
Matthews DB, Medrano JF, Mehrabian M, Mittlemann G, Mock BA, Mogil JS,
Montagutelli X, Morahan G, Mountz JD, Nagase H, Nowakowski RS, O’Hara BF,
Osadchuk AV, Paigen B, Palmer AA, Peirce JL, Pomp D, Rosemann M, Rosen GD,
Schalkwyk LC, Seltzer Z, Settle S, Shimomura K, Shou S, Sikela JM, Siracusa LD,
Spearow JL, Teuscher C, Threadgill DW, Toth LA, Toye AA, Vadasz C, Van Zant G,
Wakeland E, Williams RW, Zhang HG, Zou F; Complex Trait Consortium.
This white paper by eighty members of the Complex Trait Consortium presents a
community’s view on the approaches and statistical analyses that are needed for
the identification of genetic loci that determine quantitative traits.
Quantitative trait loci (QTLs) can be identified in several ways, but is there a
definitive test of whether a candidate locus actually corresponds to a specific
QTL?
DOI: 10.1038/nrg1206
PMCID: PMC2063446
PMID: 14634638 [Indexed for MEDLINE]