ArticleBMC genetics2012
Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses.
Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Single- and multiple-trait quantitative trait locus analyses for seed oil and protein contents of soybean populations with advanced breeding line background.Molecular breeding : new strategies in plant improvement · 2024Article
- Article
- Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population.Genetics · 2020Article
- The genetic architecture of phosphorus efficiency in sorghum involves pleiotropic QTL for root morphology and grain yield under low phosphorus availability in the soil.BMC plant biology · 2019Article
- High-Density Genetic Linkage Maps Provide Novel Insights Into ZW/ZZ Sex Determination System and Growth Performance in Mud Crab (Frontiers in genetics · 2019Article
- Simultaneous estimation of QTL parameters for mapping multiple traits.Journal of genetics · 2018Article
- MVQTLCIM: composite interval mapping of multivariate traits in a hybrid FBMC bioinformatics · 2017Article
- The roles of pleiotropy and close linkage as revealed by association mapping of yield and correlated traits of wheat (Triticum aestivum L.).Journal of experimental botany · 2017Article
- Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping.G3 (Bethesda, Md.) · 2017Article
- Comparing GWAS Results of Complex Traits Using Full Genetic Model and Additive Models for Revealing Genetic Architecture.Scientific reports · 2017Article
- QTL Mapping of Grain Zn and Fe Concentrations in Two Hexaploid Wheat RIL Populations with Ample Transgressive Segregation.Frontiers in plant science · 2017Article
- Mapping QTLs forFrontiers in plant science · 2016Article
- Genetic Analysis in Maize Foundation Parents with Mapping Population and Testcross Population: Ye478 Carried More Favorable Alleles and Using QTL Information Could Improve Foundation Parents.Frontiers in plant science · 2016Article
- Multiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P.BMC plant biology · 2015Article
- Mapping resistance to the bird cherry-oat aphid and the greenbug in wheat using sequence-based genotyping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014Article
- A novel approach identifying hybrid sterility QTL on the autosomes of Drosophila simulans and D. mauritiana.PloS one · 2013Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough many experiments have measurements on multiple traits, most studies performed the analysis of mapping of quantitative trait loci (QTL) for each trait separately using single trait analysis. Single trait analysis does not take advantage of possible genetic and environmental correlations between traits. In this paper, we propose a novel statistical method for multiple trait multiple interval mapping (MTMIM) of QTL for inbred line crosses. We also develop a novel score-based method for estimating genome-wide significance level of putative QTL effects suitable for the MTMIM model. The MTMIM method is implemented in the freely available and widely used Windows QTL Cartographer software.
resultsThroughout the paper, we provide compelling empirical evidences that: (1) the score-based threshold maintains proper type I error rate and tends to keep false discovery rate within an acceptable level; (2) the MTMIM method can deliver better parameter estimates and power than single trait multiple interval mapping method; (3) an analysis of Drosophila dataset illustrates how the MTMIM method can better extract information from datasets with measurements in multiple traits.
conclusionsThe MTMIM method represents a convenient statistical framework to test hypotheses of pleiotropic QTL versus closely linked nonpleiotropic QTL, QTL by environment interaction, and to estimate the total genotypic variance-covariance matrix between traits and to decompose it in terms of QTL-specific variance-covariance matrices, therefore, providing more details on the genetic architecture of complex traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.