Direct isolation of polymorphic markers linked to a trait by genetically directed representational difference analysis

Nikolai A. Lisitsyn; Julia A. Segre; Kenro Kusumi; Natalia M. Lisitsyn; Joseph H. Nadeau; Wayne N. Frankel; Michael H. Wigler; Eric S. Lander

doi:10.1038/ng0194-57

Direct isolation of polymorphic markers linked to a trait by genetically directed representational difference analysis

Nikolai A. Lisitsyn, Julia A. Segre, Kenro Kusumi, Natalia M. Lisitsyn, Joseph H. Nadeau, Wayne N. Frankel, Michael H. Wigler, Eric S. Lander

Research output: Contribution to journal › Article › peer-review

113 Scopus citations

Abstract

We describe a technique, genetically directed representational difference analysis (GDRDA), for specifically generating genetic markers linked to a trait of interest. GDRDA is applicable, in principle, to virtually any organism, because it requires neither prior knowledge of the chromosomal location of the gene controlling the trait nor the availability of a pre–existing genetic map. Based on a subtraction technique described recently called representational difference analysis, GDRDA uses the principles of transmission genetics to create appropriate Tester and Driver samples for subtraction. We demonstrate the usefulness of GDRDA by, for example, successfully targeting three polymorphisms to an interval of less than 1 cM of the mouse nude locus of chromosome 11.

Original language	English (US)
Pages (from-to)	57-63
Number of pages	7
Journal	Nature Genetics
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/ng0194-57
State	Published - Jan 1994
Externally published	Yes

ASJC Scopus subject areas

Genetics

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title = "Direct isolation of polymorphic markers linked to a trait by genetically directed representational difference analysis",

abstract = "We describe a technique, genetically directed representational difference analysis (GDRDA), for specifically generating genetic markers linked to a trait of interest. GDRDA is applicable, in principle, to virtually any organism, because it requires neither prior knowledge of the chromosomal location of the gene controlling the trait nor the availability of a pre–existing genetic map. Based on a subtraction technique described recently called representational difference analysis, GDRDA uses the principles of transmission genetics to create appropriate Tester and Driver samples for subtraction. We demonstrate the usefulness of GDRDA by, for example, successfully targeting three polymorphisms to an interval of less than 1 cM of the mouse nude locus of chromosome 11.",

author = "Lisitsyn, {Nikolai A.} and Segre, {Julia A.} and Kenro Kusumi and Lisitsyn, {Natalia M.} and Nadeau, {Joseph H.} and Frankel, {Wayne N.} and Wigler, {Michael H.} and Lander, {Eric S.}",

year = "1994",

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AU - Lisitsyn, Nikolai A.

AU - Segre, Julia A.

AU - Kusumi, Kenro

AU - Lisitsyn, Natalia M.

AU - Nadeau, Joseph H.

AU - Frankel, Wayne N.

AU - Wigler, Michael H.

AU - Lander, Eric S.

PY - 1994/1

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N2 - We describe a technique, genetically directed representational difference analysis (GDRDA), for specifically generating genetic markers linked to a trait of interest. GDRDA is applicable, in principle, to virtually any organism, because it requires neither prior knowledge of the chromosomal location of the gene controlling the trait nor the availability of a pre–existing genetic map. Based on a subtraction technique described recently called representational difference analysis, GDRDA uses the principles of transmission genetics to create appropriate Tester and Driver samples for subtraction. We demonstrate the usefulness of GDRDA by, for example, successfully targeting three polymorphisms to an interval of less than 1 cM of the mouse nude locus of chromosome 11.

AB - We describe a technique, genetically directed representational difference analysis (GDRDA), for specifically generating genetic markers linked to a trait of interest. GDRDA is applicable, in principle, to virtually any organism, because it requires neither prior knowledge of the chromosomal location of the gene controlling the trait nor the availability of a pre–existing genetic map. Based on a subtraction technique described recently called representational difference analysis, GDRDA uses the principles of transmission genetics to create appropriate Tester and Driver samples for subtraction. We demonstrate the usefulness of GDRDA by, for example, successfully targeting three polymorphisms to an interval of less than 1 cM of the mouse nude locus of chromosome 11.

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Direct isolation of polymorphic markers linked to a trait by genetically directed representational difference analysis

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