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. 2018 Feb 15;19:13. doi: 10.1186/s12863-018-0598-7

Correction to: High density marker panels, SNPs prioritizing and accuracy of genomic selection

Ling-Yun Chang 1,, Sajjad Toghiani 1, Ashley Ling 1, Sammy E Aggrey 2,3, Romdhane Rekaya 1,3
PMCID: PMC5815195  PMID: 29448946

Correction to: BMC Genetics (2018) 19:4 DOI: 10.1186/s12863-017-0595-2

The original version of this article [1], published on 5 January 2018, contained 3 formatting errors. In this Correction the affected parts of the article are shown. The original article has been updated.

Table 1 contained a formatting error. The correct version of Table 1 is shown below and the corrected entry is marked in bold:

Table 1.

Descriptive statistics of simulation schemes

Historical Population (HP)
 Number of generation 315
 Mutation rate for markers 1.0*10− 4
 Mutation rate for QTL 1.0*10−4
Founder Population (G0)
 Number of generation 3
 Number of male 1500
 Number of female 15,000
Selection Population (G3)
 Number of chromosomes 10
 Length per chromosome (cM) 100
 Number of markers per generation 200,000 / 400,000
 Marker distribution Evenly spaced
 Number of QTL per generation 100
 QTL distribution Randomly distributed
 QTL effect Sampled from gamma with shape 0.4
 Heritability 0.4
 Genetic variance 0.4
 Residual variance 0.6

0

Table 5 contained a formatting error. The correct version of Table 5 is shown below and the corrected entry is marked in bold:

Table 5.

Number of selected SNPs, number of tagged QTL, percentage of genetic variance explained, and accuracies of genomic and phenotype prediction under different π values, sampling distribution for the QTL effects and density of the marker panel using BayesC method. Standard errors of accuracies are listed between parentheses

(1-π) =0.90 (1-π) =0.95 (1-π) =0.98 (1-π) =0.99
Gamma Predefined Gamma Predefined Gamma Predefined Gamma Predefined
200 K marker density
# SNP 20 K 20 K 10 K 10 K 4 K 4 K 2 K 2 K
Tagged QTL3 76 97 61 96 53 94 46 91
% GV4 88.84 97.66 86.56 97.53 86.30 95.74 85.76 93.32
Acc_P5 0.453 0.451 0.467 0.459 0.484 0.477 0.496 0.493
(0.019) (0.009) (0.019) (0.009) (0.018) (0.008) (0.018) (0.008)
Acc_G6 0.769 0.751 0.791 0.766 0.821 0.794 0.842 0.821
(0.017) (0.009) (0.018) (0.008) (0.018) (0.009) (0.018) (0.006)
400 K marker density
# SNP 40K 40K 20 K 20 K 8 K 8 K 4 K 4 K
Tagged QTL 85 99 68 98 53 97 48 95
% GV 92.05 98.97 91.59 98.37 90.98 96.95 90.16 95.81
Acc_P 0.444 0.441 0.456 0.447 0.472 0.459 0.485 0.472
(0.013) (0.017) (0.013) (0.017) (0.014) (0.017) (0.014) (0.018)
Acc_G 0.754 0.740 0.773 0.749 0.802 0.769 0.824 0.791
(0.017) (0.011) (0.017) (0.011) (0.017) (0.012) (0.016) (0.012)

1QTL effects sampled from a Gamma distribution, 2 QTL effects pre-defined to explain at least 0.5% of genetic variance (GV), 3 QTL with r2 > 0.7 with at least one selected SNP, 4 GV = Genetic Variance, 5 accuracy of phenotype prediction, 6 accuracy of genomic prediction

The first equation contained formatting errors. The correct version of this equation is shown below:

FST=HTHSHT

with HT = 2 ∗ p ∗ q, HS=HS1nS1+HS2nS2nS1+nS2, and HSi = 2 ∗ pSi ∗ qSi

Footnotes

The original article can be found online at https://doi.org/10.1186/s12863-017-0595-2.

Reference

  • 1.Chang L-Y, et al. High density marker panels, SNPs prioritizing and accuracy of genomic selection. BMC Genet. 2018;19:4. doi: 10.1186/s12863-017-0595-2. [DOI] [PMC free article] [PubMed] [Google Scholar]

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