Self-confirmation and ascertainment of the candidate genomic regions of complex trait loci - A none-experimental solution

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Abstract

Over the past half century, thousands of quantitative trait loci (QTL) have been identified by using animal models and plant populations. However, the none-reliability and imprecision of the genomic regions of these loci have remained the major hurdle for the identification of the causal genes for the correspondent traits. We used a none-experimental strategy of strain number reduction for testing accuracy and ascertainment of the candidate region for QTL. We tested the strategy in over 400 analyses with data from 47 studies. These studies include: 1) studies with recombinant inbred (RI) strains of mice. We first tested two previously mapped QTL with well-defined genomic regions; We then tested additional four studies with known QTL regions; and finally we examined the reliability of QTL in 38 sets of data which are produced from relatively large numbers of RI strains, derived from C57BL/6J (B6) X DBA/2J (D2), known as BXD RI mouse strains; 2) studies with RI strains of rats and plants; and 3) studies using F2 populations in mice, rats and plants. In these cases, our method identified the reliability of mapped QTL and localized the candidate genes into the defined genomic regions. Our data also suggests that LRS score produced by permutation tests does not necessarily confirm the reliability of the QTL. Number of strains are not the reliable indicators for the accuracy of QTL either. Our strategy determines the reliability and accuracy of the genomic region of a QTL without any additional experimental study such as congenic breeding.

Figures

  • Fig 3. Detection of peak genomic region of QTL of Cerebral cortex volumes in mice using RI strains. The numbers at the bottom of each figure indicate the megabases. Pink color lines on the top indicate the threshold for significant level. Light grey lines indicate the threshold for suggestive level. The upper panel is the peak region for QTL on Chr 6 and the lower panel is for QTL on Chr 11. The three lines of figures from the top to the bottom in each panel are results from elimination of 1, 6 and 9 strains from a total of 54 strains. Therefore, the actual number of mouse strains in these three lines of each of sub-figures (A and B) are 53, 48, and 45, from top to bottom. The peak region of the QTL was mapped to the same location in these tests. A. Test of sample reduction of the QTL on Chr 6. B. Test of sample reduction of the QTL on Chr 11.
  • Fig 4. Comparison among number of strains (number of strains), criteria for levels of significant LRS, LRS level of detected QTL, and QTL confirmation in replicates with smaller number of strains.
  • Fig 5. Test of reliability of QTL for the phenotype of body weight of mothers (ID 10101) in rat models by sequential reduction of number of RI strains. The numbers on top of each figure indicate the number of
  • Fig 6. Test of reliability of QTL from two studies of traits of plants by sequential reduction of number of RI strains. The numbers on the left of each figure indicate the LRS. Pink color lines indicate the level of significance and grey lines indicate the level of suggestive. Five figures on the left side are the QTL locations on Chr 6 from a study of Barley phenotype (ID49919). From the top to the bottom are the results from the five replicates, each with the number of strains reduced from original 150 to 125. The yellow lines connected to the blue dots at the bottom of each figure indicate the locations of molecular markers on Chr 6. The figures on the right are the mapping results from a study of soybean phenotype (ID5). The five figures from the top to the bottom are the mapping locations from five replicates, each with the strain number reduced from 143 to 113. The numbers at the bottom of each figure indicate the megabases on the Chrs. Each figure shows the QTL peak region between 44 and 45 Mb on Chr 19.

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Wang, L., Jiao, Y., Wang, Y., Zhang, M., & Gu, W. (2016). Self-confirmation and ascertainment of the candidate genomic regions of complex trait loci - A none-experimental solution. PLoS ONE, 11(5). https://doi.org/10.1371/journal.pone.0153676

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