Results 61 to 70 of about 1,229,479 (285)

Exome QTL-seq maps monogenic locus and QTLs in barley [PDF]

BMC Genomics, 2017
QTL-seq, in combination with bulked segregant analysis and next-generation sequencing (NGS), is used to identify loci in small plant genomes, but is technically challenging to perform in species with large genomes, such as barley. A combination of exome sequencing and QTL-seq (exome QTL-seq) was used to map the mono-factorial Mendelian locus black ...
Hiroshi Hisano, Kazuki Sakamoto, Hiroki Takagi, Ryohei Terauchi, Kazuhiro Sato   +4 more
openaire   +2 more sources

Bayesian QTL mapping using skewed Student-t distributions

Genetics Selection Evolution, 2002
In most QTL mapping studies, phenotypes are assumed to follow normal distributions. Deviations from this assumption may lead to detection of false positive QTL.
von Rohr Peter, Hoeschele Ina
doaj   +1 more source

Novel QTL and Meta-QTL Mapping for Major Quality Traits in Soybean

Frontiers in Plant Science, 2021
Isoflavone, protein, and oil are the most important quality traits in soybean. Since these phenotypes are typically quantitative traits, quantitative trait locus (QTL) mapping has been an efficient way to clarify their complex and unclear genetic ...
Heng Chen, Heng Chen, Heng Chen, Xiangwen Pan, Xiangwen Pan, Feifei Wang, Feifei Wang, Changkai Liu, Changkai Liu, Xue Wang, Xue Wang, Xue Wang, Yansheng Li, Yansheng Li, Qiuying Zhang, Qiuying Zhang   +15 more
doaj   +1 more source

The quantitative genetic basis of sex ratio variation in Nasonia vitripennis : a QTL study [PDF]

, 2010
Our understanding of how natural selection should shape sex allocation is perhaps more developed than for any other trait. However, this understanding is not matched by our knowledge of the genetic basis of sex allocation.
West, S. A., R. WATT, D. M. SHUKER, Shuker, D. M., S. A. KNOTT, Knott, S. A., Watt, R., B. A. PANNEBAKKER, Pannebakker, B. A., S. A. WEST, Shuker, David Michael, Pannebakker, Bart   +11 more
core   +1 more source

QTL detection and allelic effects for growth and fat traits in outbred pig populations [PDF]

, 2004
Quantitative trait loci (QTL) for growth and fatness traits have previously been identified on chromosomes 4 and 7 in several experimental pig populations.
Haley, CS, Visscher, Peter M, Chris S Haley, Nagamine, Y, Peter M. Visscher, Haley, Chris, Nagamine, Yoshitaka, Haley, Chris S, Peter M Visscher, Visscher Peter M, Visscher, PM, Chris S. Haley, Yoshitaka Nagamine, Visscher, Peter, Nagamine Yoshitaka, Haley Chris S   +15 more
core   +1 more source

The effect of an imprecise map on interval mapping QTLs

Genetical Research, 2004
The statistical analysis of quantitative trait locus (QTL) experiments relies on the use of a linkage map of the markers genotyped. Such a map is, at best, a good estimate of the true map. Resources might be diverted into developing better marker maps or improved maps become available after the analysis, raising concerns over the original analysis.
K G, Dodds, R, Ball, N, Djorovic, S D, Carson   +3 more
openaire   +2 more sources

Statistical Methods for Mapping Multiple QTL [PDF]

International Journal of Plant Genomics, 2008
Since Lander and Botstein proposed the interval mapping method for QTL mapping data analysis in 1989, tremendous progress has been made in the last many years to advance new and powerful statistical methods for QTL analysis. Recent research progress has been focused on statistical methods and issues for mapping multiple QTL together.
Zou, Wei, Zeng, Zhao-Bang
openaire   +2 more sources

Integrating Genetics With Epidemiological Measurements Identifies Burden QTLs of Inflammatory Bowel Disease across 20 Countries

Advanced Science, EarlyView.
The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun, Siyu Wei, Junxian Tao, Haiyan Chen, Chi Yan, Jiacheng Wang, Jing Xu, Lian Duan, Yuanbo Zhan, Yuping Zou, Ruilin Li, Linna Yuan, Wei She, Songlin Lu, Ning Wang, Qinduo Ren, Yan Guo, Yuan Xu, Chang Wang, Hongsheng Tian, Chen Zhang, Yu Dong, Guoping Tang, Zhenwei Shang, Yongshuai Jiang, Wenhua Lv, Mingming Zhang, Hongchao Lyu   +27 more
wiley   +1 more source

Comparison of analyses of the QTLMAS XIII common dataset. II: QTL analysis [PDF]

, 2010
Background - Five participants of the QTL-MAS 2009 workshop applied QTL analyses to the workshop common data set which contained a time-related trait: cumulative yield.
Calus, M.P.L., John Bastiaansen, Coster, A., Albart Coster, Bastiaansen, J.W.M., Marco Bink, Bink, M.C.A.M., Maliepaard, C.A., Chris Maliepaard, Mario Calus   +9 more
core   +1 more source

Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L

Advanced Science, EarlyView.
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen, Yuqi Zhang, Xinyue Ma, Jinpeng Bi, Fei He, Li Zhao, Haiyue Lei, Zhengqin Xiao, Xue Wang, Tiejun Zhang, Ruicai Long, Junmei Kang, Qingchuan Yang   +12 more
wiley   +1 more source