Multiple cross mapping (MCM) markedly improves the localization of a QTL for ethanol-induced activation - PubMed (original) (raw)

doi: 10.1034/j.1601-183x.2002.10403.x.

B Malmanger, S Cooper, S Coulombe, C Reed, K Demarest, J Koyner, L Cipp, J Flint, C Talbot, B Rademacher, K Buck, J McCaughran Jr

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Multiple cross mapping (MCM) markedly improves the localization of a QTL for ethanol-induced activation

R Hitzemann et al. Genes Brain Behav. 2002 Nov.

Abstract

This study examines the use of multiple cross mapping (MCM) to reduce the interval for an ethanol response QTL on mouse chromosome 1. The phenotype is the acute locomotor response to a 1.5-g/kg i.p. dose of ethanol. The MCM panel consisted of the six unique intercrosses that can be obtained from the C57BL/6J (B6), DBA/2J (D2), BALB/cJ (C) and LP/J (LP) inbred mouse strains (N > or = 600/cross). Ethanol response QTL were detected only with the B6xD2 and B6xC intercrosses. For both crosses, the D2 and C alleles were dominant and decreased ethanol response. The QTL information was used to develop an algorithm for sorting and editing the chromosome 1 Mit microsatellite marker set (http://www.jax.org). This process yielded a cluster of markers between 82 and 85cM (MGI). Evidence that the QTL was localized in or near this interval was obtained by the analysis of a sample (n = 550) of advanced cross heterogenous stock animals. In addition, it was observed that one of the BXD recombinant inbred strains (BXD-32) had a recombination in the interval of interest which produced the expected change in behavior. Overall, the data obtained suggest that the information available within existing genetic maps coupled with MCM data can be used to reduce the QTL interval. In addition, the MCM data set can be used to interrogate gene expression data to estimate which polymorphisms within the interval of interest are relevant to the QTL.

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