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, [No Value]
- 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
- Demant, P
- Doerge, RW
- Elliott, RW
- Farber, CR
- Flaherty, L
- Flint, J
- Gershenfeld, H
- Gu, JPGJ
- Gu, WK
- Himmelbauer, H
- Hitzemann, R
- Hsu, HC
- Hunter, K
- Iraqi, FA
- Jansen, RC
- Johnson, TE
- Jones, BC
- Kempermann, G
- Lammert, F
- Lu, L
- Manly, KF
- Matthews, DB
- Medrano, JF
- Mehrabian, M
- Mittleman, G
- Mock, BA
- Mogil, JS
- Montagutelli, [No Value]
- Morahan, G
Publication date
November 2003
DOIAbstract
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
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