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. 2021 Jun 13;22:179. doi: 10.1186/s13059-021-02392-1

Table 2.

Summary of the number of independent SNPs/number of SNPs associated with the seven traits

Method Genetic cluster Trait
BB Height DBH FD WD MFA WS
CMLM Whole pop. 10/16 (0.68–6.70) 0 2/3 (1.15–1.51) 3/6 (2.22–5.19) 3/3 (0.68–0.82) 0 0
ALP 7/12 0 0 NA 0 0 0
CEU 2/5 0 0 NA 0 0 1/2
CSE 2/4 0 0 NA 0 0 0
NPL 2/4 0 0 NA 0 0 0
Rus_Bal 0 0 0 NA 0 0 2/2
ROM NA NA NA NA NA NA NA
NFE 0 0 NA NA 0 0 0
BLINK Whole pop. 24/24 (0.13–6.70) 3/3 (0.33–0.48) 2/2 (0.57–0.62) 1/1 (5.19) 3/3 (0.07–0.82) 0 0
ALP 1/1 0 0 NA 2/2 0 0
CEU 2/2 0 0 NA 0 0 1/2
CSE 2/2 0 0 NA 0 0 0
NPL 1/1 0 0 NA 0 0 0
Rus_Bal 0 0 0 NA 0 0 3/3
ROM NA NA NA NA NA NA NA
NFE 6/6 0 NA NA 0 1/2 0
Total SNPs 40/47 (0.13–6.70) 3/3 (0.330.48) 4/5 (0.57–1.51) 3/6 (2.22–5.19) 6/6 (0.07–0.82) 1/2 (0.14) 4/5 (0.06–0.21)
R2* 15.7 1.5 2.6 4.9 2.4 0.1 0.5
R2** 4.7 1.7 NA NA 0 0 0

In this study, we performed GWAS in the whole elite tree population and seven genetic clusters by two methods (CMLM and BLINK), phenotypic variance explained (PVE2) by a single SNP shown in parenthesis, and cumulative phenotypic variance explained by all associated SNPs (R2*) for each trait in the whole elite tree population and the validation population (R2**) in the two full-sib progeny field plantations in Northern Sweden. BB budburst stage, DBH diameter at breast height, FD frost damage, WD wood density, MFA microfibril angle, WS wood stiffness. NA: represents that we did not perform CMLM for each genetic cluster because of small cluster size in several clusters, such as NFE and ROM in Table 1