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. Author manuscript; available in PMC: 2021 Nov 17.
Published in final edited form as: Nat Genet. 2021 May 17;53(7):982–993. doi: 10.1038/s41588-021-00868-1

Extended Data Fig. 2. Relationship between population structure in the nuclear and mitochondrial genomes.

Extended Data Fig. 2

The figure shows (a) circular Manhattan plots of the association between the first 10 nucPCs and mtSNVs. For each mtSNV, the association was tested using a linear regression model: Y~ β1 x X1 + β2 x X2 + β3 x X3 + β4 x X4 + β5 x X5 where Y is a vector containing the values of a nucPC, X1 is a vector of mtSNV dosages and X2-X5 are vectors containing covariate values (age, age squared, sex, and array) and β1-5 represent the effect of each variable on the mean of Y. Wald test two-sided P-values are presented. The nucPCs are ordered from PC1 to PC10 from outside to in and black dots represent (Wald test, two-sided) P <5x10-5; (b) 3D plots of the first three mtPCs; and (c) the relationship between the first three nuclear principal components (nucPCs, nucPC1 - left, nucPC2 - middle, nucPC3 - right) and the first two mitochondrial principal components (mtPCs). The latter were calculated using mtSNVs with MAF>0.01 and R2<0.2. The mtPCs in (a) and (b) were calculated using the following sets of genotyped mtSNV: (from left to right) all mtSNVs; mtSNVs with MAF>0.01 only; and mtSNVs with MAF>0.01 after LD-pruning at R2<0.2. N=the number of mtSNVs included in a given analysis. In (b) and (c) individuals are coloured according to macro-haplogroup carrier status.