Status and Prospects of Association Mapping in Plants

There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances in genomic technology, impetus to exploit natural diversity, and development of robust statistical analy...

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Published in	The plant genome Vol. 1; no. 1; pp. 5 - 20
Main Authors	Zhu, Chengsong, Gore, Michael, Buckler, Edward S., Yu, Jianming
Format	Journal Article
Language	English
Published	Crop Science Society of America 01.07.2008 Wiley
Subjects	chromosome mapping genes genomics germplasm linkage disequilibrium quantitative trait loci research programs statistical analysis
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Abstract	There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances in genomic technology, impetus to exploit natural diversity, and development of robust statistical analysis methods make association mapping appealing and affordable to plant research programs. Association mapping identifies quantitative trait loci (QTLs) by examining the marker‐trait associations that can be attributed to the strength of linkage disequilibrium between markers and functional polymorphisms across a set of diverse germplasm. General understanding of association mapping has increased significantly since its debut in plants. We have seen a more concerted effort in assembling various association‐mapping populations and initiating experiments through either candidate‐gene or genome‐wide approaches in different plant species. In this review, we describe the current status of association mapping in plants and outline opportunities and challenges in complex trait dissection and genomics‐assisted crop improvement.
AbstractList	There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances in genomic technology, impetus to exploit natural diversity, and development of robust statistical analysis methods make association mapping appealing and affordable to plant research programs. Association mapping identifies quantitative trait loci (QTLs) by examining the marker-trait associations that can be attributed to the strength of linkage disequilibrium between markers and functional polymorphisms across a set of diverse germplasm. General understanding of association mapping has increased significantly since its debut in plants. We have seen a more concerted effort in assembling various association-mapping populations and initiating experiments through either candidate-gene or genome-wide approaches in different plant species. In this review, we describe the current status of association mapping in plants and outline opportunities and challenges in complex trait dissection and genomics-assisted crop improvement.
Author	Buckler, Edward S. Zhu, Chengsong Yu, Jianming Gore, Michael
Author_xml	– sequence: 1 givenname: Chengsong surname: Zhu fullname: Zhu, Chengsong organization: Kansas State University – sequence: 2 givenname: Michael surname: Gore fullname: Gore, Michael organization: Cornell University – sequence: 3 givenname: Edward S. surname: Buckler fullname: Buckler, Edward S. organization: USDA‐ARS and Institute for Genomic Diversity, Cornell University – sequence: 4 givenname: Jianming surname: Yu fullname: Yu, Jianming email: jyu@ksu.edu
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SubjectTerms	chromosome mapping genes genomics germplasm linkage disequilibrium quantitative trait loci research programs statistical analysis
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Title	Status and Prospects of Association Mapping in Plants
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