Literature DB >> 11700286

The genetic architecture of quantitative traits.

T F Mackay1.   

Abstract

Phenotypic variation for quantitative traits results from the segregation of alleles at multiple quantitative trait loci (QTL) with effects that are sensitive to the genetic, sexual, and external environments. Major challenges for biology in the post-genome era are to map the molecular polymorphisms responsible for variation in medically, agriculturally, and evolutionarily important complex traits; and to determine their gene frequencies and their homozygous, heterozygous, epistatic, and pleiotropic effects in multiple environments. The ease with which QTL can be mapped to genomic intervals bounded by molecular markers belies the difficulty in matching the QTL to a genetic locus. The latter requires high-resolution recombination or linkage disequilibrium mapping to nominate putative candidate genes, followed by genetic and/or functional complementation and gene expression analyses. Complete genome sequences and improved technologies for polymorphism detection will greatly advance the genetic dissection of quantitative traits in model organisms, which will open avenues for exploration of homologous QTL in related taxa.

Mesh:

Year:  2001        PMID: 11700286     DOI: 10.1146/annurev.genet.35.102401.090633

Source DB:  PubMed          Journal:  Annu Rev Genet        ISSN: 0066-4197            Impact factor:   16.830


  364 in total

1.  Vanaso is a candidate quantitative trait gene for Drosophila olfactory behavior.

Authors:  Juan José Fanara; Kellie O Robinson; Stephanie M Rollmann; Robert R H Anholt; Trudy F C Mackay
Journal:  Genetics       Date:  2002-11       Impact factor: 4.562

2.  Combining mapping and arraying: An approach to candidate gene identification.

Authors:  M L Wayne; L M McIntyre
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-01       Impact factor: 11.205

3.  Delivering bioinformatics training: bridging the gaps between computer science and biomedicine.

Authors:  Christopher Dubay; James M Brundege; William Hersh; Kent Spackman
Journal:  Proc AMIA Symp       Date:  2002

4.  Pleiotropy of segregating genetic variants that affect honey bee worker life expectancy.

Authors:  Luke R Dixon; Michelle R McQuage; Ellen J Lonon; Dominique Buehler; Oumar Seck; Olav Rueppell
Journal:  Exp Gerontol       Date:  2012-06-01       Impact factor: 4.032

5.  Quantitative trait loci involved in regulating seed oil composition in Arabidopsis thaliana and their evolutionary implications.

Authors:  Anushree Sanyal; C Randal Linder
Journal:  Theor Appl Genet       Date:  2011-11-10       Impact factor: 5.699

6.  A general statistical framework for mapping quantitative trait loci in nonmodel systems: issue for characterizing linkage phases.

Authors:  Min Lin; Xiang-Yang Lou; Myron Chang; Rongling Wu
Journal:  Genetics       Date:  2003-10       Impact factor: 4.562

7.  Precision and high-resolution mapping of quantitative trait loci by use of recurrent selection, backcross or intercross schemes.

Authors:  Z W Luo; Chung-I Wu; M J Kearsey
Journal:  Genetics       Date:  2002-06       Impact factor: 4.562

8.  Generation and analysis of an artificial gene dosage series in tomato to study the mechanisms by which the cloned quantitative trait locus fw2.2 controls fruit size.

Authors:  Jiping Liu; Bin Cong; Steven D Tanksley
Journal:  Plant Physiol       Date:  2003-05       Impact factor: 8.340

9.  Discrete genetic modules are responsible for complex burrow evolution in Peromyscus mice.

Authors:  Jesse N Weber; Brant K Peterson; Hopi E Hoekstra
Journal:  Nature       Date:  2013-01-17       Impact factor: 49.962

10.  Additivity and trans-acting effects on gene expression in male Drosophila simulans.

Authors:  M L Wayne; Y-J Pan; S V Nuzhdin; L M McIntyre
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

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