Development of congenics for hypnotic sensitivity to ethanol by QTL-marker-assisted counter selection.
- Authors
- Bennett, B; Johnson, T E
- Year
- 1998
- Journal
- Mammalian genome : official journal of the International Mammalian Genome Society
- PMID
- 9880661
- DOI
- 10.1007/s003359900908
Mouse strains congenic for individual quantitative trait loci (QTLs) conferring hypnotic sensitivity to ethanol were constructed by backcrossing genotypically selected ILS x ISS N2 individuals to either inbred Long Sleep (ILS) or inbred Short Sleep (ISS) mice. We used a novel "speed congenic" approach in which N2 mice were genotyped for markers flanking each of the five originally identified QTLs. Genotypic selection for ISS regions at four of the five QTLs, and for ILS/ISS at the fifth QTL, allowed rapid fixation of the genetic background. We call this strategy "QTL-Marker-Assisted Counter Selection" or QMACS. By the N4 generation, phenotypic assessments showed that in some sublines the QTL had not been captured; these sublines were discarded and positive lines split to create new replicate sublines. One QTL, on Chromosome (Chr) 8, was not confirmed. At the N8, virtually all sublines on the remaining QTLs retained the phenotypic difference between heterozygotes and ISS homozygotes. Small numbers of interim congenics were produced at the N6 and later generations in which the ILS QTL was made homozygous on the ISS background; as expected, these congenic mice showed an increased sleep time. For later backcrosses (after the N4), the parents were selected on the basis of phenotype as well as genotype. The parent-offspring correlation over all QTLs was significant, supporting the use of phenotypic selection in congenic construction.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity. | 2018 | 29623680 |
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| A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity. | Schuckit MA | — | 2018 | → |
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