Literature DB >> 7896115

Selective DNA pooling for determination of linkage between a molecular marker and a quantitative trait locus.

A Darvasi1, M Soller.   

Abstract

Selective genotyping is a method to reduce costs in marker-quantitative trait locus (QTL) linkage determination by genotyping only those individuals with extreme, and hence most informative, quantitative trait values. The DNA pooling strategy (termed: "selective DNA pooling") takes this one step further by pooling DNA from the selected individuals at each of the two phenotypic extremes, and basing the test for linkage on marker allele frequencies as estimated from the pooled samples only. This can reduce genotyping costs of marker-QTL linkage determination by up to two orders of magnitude. Theoretical analysis of selective DNA pooling shows that for experiments involving backcross, F2 and half-sib designs, the power of selective DNA pooling for detecting genes with large effect, can be the same as that obtained by individual selective genotyping. Power for detecting genes with small effect, however, was found to decrease strongly with increase in the technical error of estimating allele frequencies in the pooled samples. The effect of technical error, however, can be markedly reduced by replication of technical procedures. It is also shown that a proportion selected of 0.1 at each tail will be appropriate for a wide range of experimental conditions.

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Year:  1994        PMID: 7896115      PMCID: PMC1206272     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  8 in total

1.  Autoradiography using storage phosphor technology.

Authors:  R F Johnston; S C Pickett; D L Barker
Journal:  Electrophoresis       Date:  1990-05       Impact factor: 3.535

2.  Determining relative microsatellite allele frequencies in pooled DNA samples.

Authors:  H Khatib; A Darvasi; Y Plotski; M Soller
Journal:  PCR Methods Appl       Date:  1994-08

3.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

4.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

5.  Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map.

Authors:  A Darvasi; A Weinreb; V Minke; J I Weller; M Soller
Journal:  Genetics       Date:  1993-07       Impact factor: 4.562

6.  Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle.

Authors:  J I Weller; Y Kashi; M Soller
Journal:  J Dairy Sci       Date:  1990-09       Impact factor: 4.034

7.  Chromosomal mapping of two genetic loci associated with blood-pressure regulation in hereditary hypertensive rats.

Authors:  P Hilbert; K Lindpaintner; J S Beckmann; T Serikawa; F Soubrier; C Dubay; P Cartwright; B De Gouyon; C Julier; S Takahasi
Journal:  Nature       Date:  1991-10-10       Impact factor: 49.962

8.  Milk as a source of deoxyribonucleic acid and as a substrate for the polymerase chain reaction.

Authors:  E Lipkin; A Shalom; H Khatib; M Soller; A Friedmann
Journal:  J Dairy Sci       Date:  1993-07       Impact factor: 4.034

  8 in total
  64 in total

1.  Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits.

Authors:  A B Korol; Y I Ronin; A M Itskovich; J Peng; E Nevo
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

2.  Naturally occurring genetic variability in expression of Gsta4 is associated with differential survival of axotomized rat motoneurons.

Authors:  Mikael Ström; Faiez Al Nimer; Rickard Lindblom; Jens Randel Nyengaard; Fredrik Piehl
Journal:  Neuromolecular Med       Date:  2011-12-08       Impact factor: 3.843

3.  High-resolution mapping of quantitative trait loci by selective recombinant genotyping.

Authors:  Y Ronin; A Korol; M Shtemberg; E Nevo; M Soller
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

4.  Extent and consistency across generations of linkage disequilibrium in commercial layer chicken breeding populations.

Authors:  E M Heifetz; J E Fulton; N O'Sullivan; H Zhao; J C M Dekkers; M Soller
Journal:  Genetics       Date:  2005-08-22       Impact factor: 4.562

5.  Detection of marker-QTL associations by studying change in marker frequencies with selection.

Authors:  A Gallais; L Moreau; A Charcosset
Journal:  Theor Appl Genet       Date:  2006-12-13       Impact factor: 5.699

6.  Three EST-SSR markers associated with QTL for the growth of the clam Meretrix meretrix revealed by selective genotyping.

Authors:  Xia Lu; Hongxia Wang; Baozhong Liu; Jianhai Xiang
Journal:  Mar Biotechnol (NY)       Date:  2012-04-27       Impact factor: 3.619

7.  Fractioned DNA pooling: a new cost-effective strategy for fine mapping of quantitative trait loci.

Authors:  A Korol; Z Frenkel; L Cohen; E Lipkin; M Soller
Journal:  Genetics       Date:  2007-07-01       Impact factor: 4.562

8.  A whole genome association study of neuroticism using DNA pooling.

Authors:  S Shifman; A Bhomra; S Smiley; N R Wray; M R James; N G Martin; J M Hettema; S S An; M C Neale; E J C G van den Oord; K S Kendler; X Chen; D I Boomsma; C M Middeldorp; J J Hottenga; P E Slagboom; J Flint
Journal:  Mol Psychiatry       Date:  2007-07-31       Impact factor: 15.992

9.  QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses.

Authors:  Alizera Navabi; D E Mather; J Bernier; D M Spaner; G N Atlin
Journal:  Theor Appl Genet       Date:  2008-10-15       Impact factor: 5.699

10.  A mutant mouse with a highly specific contextual fear-conditioning deficit found in an N-ethyl-N-nitrosourea (ENU) mutagenesis screen.

Authors:  Leon G Reijmers; Jennifer K Coats; Mathew T Pletcher; Tim Wiltshire; Lisa M Tarantino; Mark Mayford
Journal:  Learn Mem       Date:  2006 Mar-Apr       Impact factor: 2.460

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