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  • 1
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    Finding genes that underlie complex traits (2002)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2002-12-21
    Description: Phenotypic variation among organisms is central to evolutionary adaptations underlying natural and artificial selection, and also determines individual susceptibility to common diseases. These types of complex traits pose special challenges for genetic analysis because of gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power. Emerging genome resources and technologies are enabling systematic identification of genes underlying these complex traits. We propose standards for proof of gene discovery in complex traits and evaluate the nature of the genes identified to date. These proof-of-concept studies demonstrate the insights that can be expected from the accelerating pace of gene discovery in this field.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Glazier, Anne M -- Nadeau, Joseph H -- Aitman, Timothy J -- New York, N.Y. -- Science. 2002 Dec 20;298(5602):2345-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Physiological Genomics and Medicine Group, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College Faculty of Medicine, Ducane Road, London W12 0NN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12493905" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Chromosome Mapping ; Genetic Linkage ; *Genetic Predisposition to Disease ; Genetic Variation ; Humans ; *Multifactorial Inheritance ; Mutation ; Phenotype ; Plants/genetics ; *Quantitative Trait Loci ; *Quantitative Trait, Heritable ; Saccharomyces cerevisiae/genetics ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Genetic dissection of complex traits with chromosome substitution strains of mice (2004)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2004-03-20
    Description: Chromosome substitution strains (CSSs) have been proposed as a simple and powerful way to identify quantitative trait loci (QTLs) affecting developmental, physiological, and behavioral processes. Here, we report the construction of a complete CSS panel for a vertebrate species. The CSS panel consists of 22 mouse strains, each of which carries a single chromosome substituted from a donor strain (A/J) onto a common host background (C57BL/6J). A survey of 53 traits revealed evidence for 150 QTLs affecting serum levels of sterols and amino acids, diet-induced obesity, and anxiety. These results demonstrate that CSSs greatly facilitate the detection and identification of genes that control the wide diversity of naturally occurring phenotypic variation in the A/J and C57BL/6J inbred strains.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Singer, Jonathan B -- Hill, Annie E -- Burrage, Lindsay C -- Olszens, Keith R -- Song, Junghan -- Justice, Monica -- O'Brien, William E -- Conti, David V -- Witte, John S -- Lander, Eric S -- Nadeau, Joseph H -- GM07250/GM/NIGMS NIH HHS/ -- HD07518/HD/NICHD NIH HHS/ -- RR12305/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2004 Apr 16;304(5669):445-8. Epub 2004 Mar 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15031436" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acids/blood ; Animals ; Anxiety/genetics ; *Chromosome Mapping ; Chromosomes, Mammalian/*genetics ; Crosses, Genetic ; Diet ; Female ; Genetic Predisposition to Disease ; Genetic Variation ; Male ; Mice ; Mice, Inbred A ; Mice, Inbred C57BL ; Microsatellite Repeats ; Obesity/genetics/physiopathology ; Phenotype ; *Quantitative Trait Loci ; *Quantitative Trait, Heritable ; Sterols/blood ; Weight Gain
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
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    PAPER CURRENT
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