Literature DB >> 11389460

Finding the molecular basis of quantitative traits: successes and pitfalls.

J Flint1, R Mott.   

Abstract

Understanding the molecular basis of quantitative genetic variation is a principal goal for biomedicine. Although the complex genetic architecture of quantitative traits has so far largely frustrated attempts to identify genes in humans by standard linkage methodologies, quantitative trait loci (QTL) have been mapped in plants, insects and rodents. However, identifying the molecular bases of QTL remains a challenge. Here, we discuss why this is and how new experimental strategies and analytical techniques, combined with the fruits of the genome projects, are beginning to identify candidate genes for QTL studies in several model organisms.

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Year:  2001        PMID: 11389460     DOI: 10.1038/35076585

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  85 in total

1.  Simultaneous mining of linkage and linkage disequilibrium to fine map quantitative trait loci in outbred half-sib pedigrees: revisiting the location of a quantitative trait locus with major effect on milk production on bovine chromosome 14.

Authors:  Frédéric Farnir; Bernard Grisart; Wouter Coppieters; Juliette Riquet; Paulette Berzi; Nadine Cambisano; Latifa Karim; Myriam Mni; Sirja Moisio; Patricia Simon; Danny Wagenaar; Johanna Vilkki; Michel Georges
Journal:  Genetics       Date:  2002-05       Impact factor: 4.562

2.  Molecular dissection of a quantitative trait locus: a phenylalanine-to-tyrosine substitution in the transmembrane domain of the bovine growth hormone receptor is associated with a major effect on milk yield and composition.

Authors:  Sarah Blott; Jong-Joo Kim; Sirja Moisio; Anne Schmidt-Küntzel; Anne Cornet; Paulette Berzi; Nadine Cambisano; Christine Ford; Bernard Grisart; Dave Johnson; Latifa Karim; Patricia Simon; Russell Snell; Richard Spelman; Jerry Wong; Johanna Vilkki; Michel Georges; Frédéric Farnir; Wouter Coppieters
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

3.  A strategy for the integration of QTL, gene expression, and sequence analyses.

Authors:  Robert Hitzemann; Barry Malmanger; Cheryl Reed; Maureen Lawler; Barbara Hitzemann; Shannon Coulombe; Kari Buck; Brooks Rademacher; Nicole Walter; Yekatrina Polyakov; James Sikela; Brenda Gensler; Sonya Burgers; Robert W Williams; Ken Manly; Jonathan Flint; Christopher Talbot
Journal:  Mamm Genome       Date:  2003-11       Impact factor: 2.957

4.  QTL fine-mapping with recombinant-inbred heterogeneous stocks and in vitro heterogeneous stocks.

Authors:  William S J Valdar; Jonathan Flint; Richard Mott
Journal:  Mamm Genome       Date:  2003-12       Impact factor: 2.957

5.  Marker-assisted congenic screening (MACS): a database tool for the efficient production and characterization of congenic lines.

Authors:  Stephan C Collins; Robert H Wallis; Karin Wallace; Marie Thérèse Bihoreau; Dominique Gauguier
Journal:  Mamm Genome       Date:  2003-05       Impact factor: 2.957

6.  EST-based gene discovery in pig: virtual expression patterns and comparative mapping to human.

Authors:  Christopher K Tuggle; Jon A Green; Carolyn Fitzsimmons; Rami Woods; Randall S Prather; Sergei Malchenko; Bento M Soares; Tamara Kucaba; Keith Crouch; Christina Smith; Dylan Tack; Natalie Robinson; Brian O'Leary; Todd Scheetz; Thomas Casavant; Daniel Pomp; Brad J Edeal; Yuandan Zhang; Max F Rothschild; Kevin Garwood; William Beavis
Journal:  Mamm Genome       Date:  2003-08       Impact factor: 2.957

7.  Haplotype sharing refines the location of an imprinted quantitative trait locus with major effect on muscle mass to a 250-kb chromosome segment containing the porcine IGF2 gene.

Authors:  Carine Nezer; Catherine Collette; Laurence Moreau; Benoît Brouwers; Jong-Joo Kim; Elisabetta Giuffra; Nadine Buys; Leif Andersson; Michel Georges
Journal:  Genetics       Date:  2003-09       Impact factor: 4.562

8.  Integration and modularity of quantitative trait locus effects on geometric shape in the mouse mandible.

Authors:  Christian Peter Klingenberg; Larry J Leamy; James M Cheverud
Journal:  Genetics       Date:  2004-04       Impact factor: 4.562

9.  Bayesian association-based fine mapping in small chromosomal segments.

Authors:  Mikko J Sillanpää; Madhuchhanda Bhattacharjee
Journal:  Genetics       Date:  2004-09-15       Impact factor: 4.562

10.  A large-sample QTL study in mice: II. Body composition.

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

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