Literature DB >> 8582624

Advanced intercross lines, an experimental population for fine genetic mapping.

A Darvasi1, M Soller.   

Abstract

An advanced intercrossed line (AIL) is an experimental population that can provide more accurate estimates of quantitative trait loci (QTL) map location than conventional mapping populations. An AIL is produced by randomly and sequentially intercrossing a population that initially originated from a cross between two inbred lines or some variant thereof. This provides increasing probability of recombination between any two loci. Consequently, the genetic length of the entire genome is stretched, providing increased mapping resolution. In this way, for example, with the same population size and QTL effect, a 95% confidence interval of QTL map location of 20 cM in the F2 is reduced fivefold after eight additional random mating generations (F10). Simulation results showed that to obtain the anticipated reduction in the confidence interval, breeding population size of the AIL in all generations should comprise an effective number of > or = 100 individuals. It is proposed that AILs derived from crosses between known inbred lines may be a useful resource for fine genetic mapping.

Mesh:

Year:  1995        PMID: 8582624      PMCID: PMC1206841     

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


  15 in total

1.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

2.  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

3.  The power of methods for the detection of major genes affecting quantitative characters.

Authors:  I McMillan; A Robertson
Journal:  Heredity (Edinb)       Date:  1974-06       Impact factor: 3.821

4.  Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers.

Authors:  J I Weller
Journal:  Biometrics       Date:  1986-09       Impact factor: 2.571

5.  Interval mapping of multiple quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1993-09       Impact factor: 4.562

6.  Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

Authors:  Z B Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-01       Impact factor: 11.205

7.  Determination of allele frequencies at loci with length polymorphism by quantitative analysis of DNA amplified from pooled samples.

Authors:  P Pacek; A Sajantila; A C Syvänen
Journal:  PCR Methods Appl       Date:  1993-05

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

Authors:  A Darvasi; M Soller
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

9.  High resolution of quantitative traits into multiple loci via interval mapping.

Authors:  R C Jansen; P Stam
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

10.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

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  205 in total

1.  A quick method for computing approximate thresholds for quantitative trait loci detection.

Authors:  H P Piepho
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  A method for fine mapping quantitative trait loci in outbred animal stocks.

Authors:  R Mott; C J Talbot; M G Turri; A C Collins; J Flint
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

3.  Analysis of quantitative trait loci for behavioral laterality in mice.

Authors:  Pierre L Roubertoux; Isabelle Le Roy; Sylvie Tordjman; Améziane Cherfou; Danièle Migliore-Samour
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

4.  One hundred years of mouse genetics: an intellectual history. I. The classical period (1902-1980).

Authors:  Kenneth Paigen
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

5.  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

6.  Identification of quantitative trait loci influencing skeletal architecture in mice: emergence of Cdh11 as a primary candidate gene regulating femoral morphology.

Authors:  Charles R Farber; Scott A Kelly; Ethan Baruch; Daniel Yu; Kunjie Hua; Derrick L Nehrenberg; Fernando Pardo-Manuel de Villena; Ryan J Buus; Theodore Garland; Daniel Pomp
Journal:  J Bone Miner Res       Date:  2011-09       Impact factor: 6.741

7.  Diet-dependent genetic and genomic imprinting effects on obesity in mice.

Authors:  James M Cheverud; Heather A Lawson; Gloria L Fawcett; Bing Wang; L Susan Pletscher; Ashley R Fox; Taylor J Maxwell; Thomas H Ehrich; Jane P Kenney-Hunt; Jason B Wolf; Clay F Semenkovich
Journal:  Obesity (Silver Spring)       Date:  2010-06-10       Impact factor: 5.002

8.  Quantitative trait loci involved in genetic predisposition to acute alcohol withdrawal in mice.

Authors:  K J Buck; P Metten; J K Belknap; J C Crabbe
Journal:  J Neurosci       Date:  1997-05-15       Impact factor: 6.167

9.  Identification of the Bile Acid Transporter Slco1a6 as a Candidate Gene That Broadly Affects Gene Expression in Mouse Pancreatic Islets.

Authors:  Jianan Tian; Mark P Keller; Angie T Oler; Mary E Rabaglia; Kathryn L Schueler; Donald S Stapleton; Aimee Teo Broman; Wen Zhao; Christina Kendziorski; Brian S Yandell; Bruno Hagenbuch; Karl W Broman; Alan D Attie
Journal:  Genetics       Date:  2015-09-18       Impact factor: 4.562

10.  Genomewide analysis of secretory activation in mouse models.

Authors:  Palaniappan Ramanathan; Ian Martin; Peter Thomson; Rosanne Taylor; Christopher Moran; Peter Williamson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2007-11-10       Impact factor: 2.673

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