Literature DB >> 23620001

Family-based association mapping in crop species.

Baohong Guo1, Daolong Wang, Zhigang Guo, William D Beavis.   

Abstract

Identification of allelic variants associated with complex traits provides molecular genetic information associated with variability upon which both artificial and natural selections are based. Family-based association mapping (FBAM) takes advantage of linkage disequilibrium among segregating progeny within crosses and among parents to provide greater power than association mapping and greater resolution than linkage mapping. Herein, we discuss the potential adaption of human family-based association tests and quantitative transmission disequilibrium tests for use in crop species. The rapid technological advancement of next generation sequencing will enable sequencing of all parents in a planned crossing design, with subsequent imputation of genotypes for all segregating progeny. These technical advancements are easily adapted to mating designs routinely used by plant breeders. Thus, FBAM has the potential to be widely adopted for discovering alleles, common and rare, underlying complex traits in crop species.

Entities:  

Mesh:

Year:  2013        PMID: 23620001     DOI: 10.1007/s00122-013-2100-2

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  50 in total

1.  A general test of association for quantitative traits in nuclear families.

Authors:  G R Abecasis; L R Cardon; W O Cookson
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

Review 2.  Domestic-animal genomics: deciphering the genetics of complex traits.

Authors:  Leif Andersson; Michel Georges
Journal:  Nat Rev Genet       Date:  2004-03       Impact factor: 53.242

3.  Genome-wide association studies of 14 agronomic traits in rice landraces.

Authors:  Xuehui Huang; Xinghua Wei; Tao Sang; Qiang Zhao; Qi Feng; Yan Zhao; Canyang Li; Chuanrang Zhu; Tingting Lu; Zhiwu Zhang; Meng Li; Danlin Fan; Yunli Guo; Ahong Wang; Lu Wang; Liuwei Deng; Wenjun Li; Yiqi Lu; Qijun Weng; Kunyan Liu; Tao Huang; Taoying Zhou; Yufeng Jing; Wei Li; Zhang Lin; Edward S Buckler; Qian Qian; Qi-Fa Zhang; Jiayang Li; Bin Han
Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

Review 4.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

5.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

6.  Mapping quantitative trait loci using multiple families of line crosses.

Authors:  S Xu
Journal:  Genetics       Date:  1998-01       Impact factor: 4.562

7.  In silico genotyping of the maize nested association mapping population.

Authors:  Baohong Guo; William D Beavis
Journal:  Mol Breed       Date:  2010-09-26       Impact factor: 2.589

8.  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

Review 9.  Crop genomics: advances and applications.

Authors:  Peter L Morrell; Edward S Buckler; Jeffrey Ross-Ibarra
Journal:  Nat Rev Genet       Date:  2011-12-29       Impact factor: 53.242

10.  The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage.

Authors:  Sang Hong Lee; Julius H J van der Werf
Journal:  Genet Sel Evol       Date:  2004 Mar-Apr       Impact factor: 4.297

View more
  5 in total

1.  Relevance of genetic relationship in GWAS and genomic prediction.

Authors:  Helcio Duarte Pereira; José Marcelo Soriano Viana; Andréa Carla Bastos Andrade; Fabyano Fonseca E Silva; Geísa Pinheiro Paes
Journal:  J Appl Genet       Date:  2017-11-30       Impact factor: 3.240

2.  Development and Genetic Characterization of an Advanced Backcross-Nested Association Mapping (AB-NAM) Population of Wild × Cultivated Barley.

Authors:  Liana M Nice; Brian J Steffenson; Gina L Brown-Guedira; Eduard D Akhunov; Chaochih Liu; Thomas J Y Kono; Peter L Morrell; Thomas K Blake; Richard D Horsley; Kevin P Smith; Gary J Muehlbauer
Journal:  Genetics       Date:  2016-05-10       Impact factor: 4.562

3.  Dissection of genetic architecture of rice plant height and heading date by multiple-strategy-based association studies.

Authors:  Liyuan Zhou; Shouye Liu; Weixun Wu; Daibo Chen; Xiaodeng Zhan; Aike Zhu; Yingxin Zhang; Shihua Cheng; Liyong Cao; Xiangyang Lou; Haiming Xu
Journal:  Sci Rep       Date:  2016-07-13       Impact factor: 4.379

4.  Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architectures.

Authors:  Réka Howard; Alicia L Carriquiry; William D Beavis
Journal:  G3 (Bethesda)       Date:  2014-04-11       Impact factor: 3.154

5.  Genome-wide investigation of genetic changes during modern breeding of Brassica napus.

Authors:  Nian Wang; Feng Li; Biyun Chen; Kun Xu; Guixin Yan; Jiangwei Qiao; Jun Li; Guizhen Gao; Ian Bancroft; Jingling Meng; Graham J King; Xiaoming Wu
Journal:  Theor Appl Genet       Date:  2014-06-20       Impact factor: 5.699

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.