A mixed-model approach for genome-wide association studies of correlated traits in structured populations

被引：0
|
作者：
Arthur Korte
Bjarni J Vilhjálmsson
Vincent Segura
Alexander Platt
Quan Long
Magnus Nordborg
机构：
[1] Gregor Mendel Institute,Department of Molecular and Computational Biology
[2] Austrian Academy of Sciences,undefined
[3] University of Southern California,undefined
[4] Institut National de la Recherche Agronomique (INRA),undefined
[5] UR0588,undefined
来源：
Nature Genetics | 2012年 / 44卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Magnus Nordborg and colleagues report a parameterized multi-trait mixed model (MTMM) method applied to genome-wide association studies of correlated phenotypes. They test this approach, using both human and Arabidopsis thaliana data sets, and demonstrate how it can be used to identify pleiotropic loci and gene by environment interactions.
引用
收藏
页码：1066 / 1071
页数：5
相关论文
共 50 条
  • [41] Advances in genome-wide association studies of complex traits in rice
    Qin Wang
    Jiali Tang
    Bin Han
    Xuehui Huang
    Theoretical and Applied Genetics, 2020, 133 : 1415 - 1425
  • [42] Genome-wide association studies of grain quality traits in maize
    Zheng, Yunxiao
    Yuan, Fan
    Huang, Yaqun
    Zhao, Yongfeng
    Jia, Xiaoyan
    Zhu, Liying
    Guo, Jinjie
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [43] Genome-wide association studies of grain quality traits in maize
    Yunxiao Zheng
    Fan Yuan
    Yaqun Huang
    Yongfeng Zhao
    Xiaoyan Jia
    Liying Zhu
    Jinjie Guo
    Scientific Reports, 11
  • [44] Advances in genome-wide association studies of complex traits in rice
    Wang, Qin
    Tang, Jiali
    Han, Bin
    Huang, Xuehui
    THEORETICAL AND APPLIED GENETICS, 2020, 133 (05) : 1415 - 1425
  • [45] Genome-wide hierarchical mixed model association analysis
    Hao, Zhiyu
    Gao, Jin
    Song, Yuxin
    Yang, Runqing
    Liu, Di
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (06)
  • [46] Dissecting four correlated growth period traits using a genome-wide association study approach in soybean
    Yanfei Li
    Ying-hui Li
    Huilong Hong
    Yansong Ma
    Yongzhe Gu
    Zhangxiong Liu
    Scott A. Jackson
    Li-juan Qiu
    Genetic Resources and Crop Evolution, 2022, 69 : 1147 - 1162
  • [47] Dissecting four correlated growth period traits using a genome-wide association study approach in soybean
    Li, Yanfei
    Li, Ying-hui
    Hong, Huilong
    Ma, Yansong
    Gu, Yongzhe
    Liu, Zhangxiong
    Jackson, Scott A.
    Qiu, Li-juan
    GENETIC RESOURCES AND CROP EVOLUTION, 2022, 69 (03) : 1147 - 1162
  • [48] Efficiency of genome-wide association studies in random cross populations
    José Marcelo Soriano Viana
    Gabriel Borges Mundim
    Hélcio Duarte Pereira
    Andréa Carla Bastos Andrade
    Fabyano Fonseca e Silva
    Molecular Breeding, 2017, 37
  • [49] Genome-Wide Association Studies, Alzheimer Disease, and Understudied Populations
    Nussbaum, Robert L.
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2013, 309 (14): : 1527 - 1528
  • [50] Efficiency of genome-wide association studies in random cross populations
    Soriano Viana, Jose Marcelo
    Mundim, Gabriel Borges
    Pereira, Helcio Duarte
    Bastos Andrade, Andrea Carla
    Fonseca E Silva, Fabyano
    MOLECULAR BREEDING, 2017, 37 (08)
12345