Admixture f3 statistics based on ancient and present-day genomes

MS Madina Seidualy
AB Asta Blazyte
SJ Sungwon Jeon
YB Youngjune Bhak
YJ Yeonsu Jeon
JK Jungeun Kim
AE Anders Eriksson
DB Dan Bolser
CY Changhan Yoon
AM Andrea Manica
SL Semin Lee
JB Jong Bhak
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We inferred MJS’s genetic lineage using admixture f3-statistics, a method based on measuring the allele frequency correlations between populations (Patterson et al. 2012). To maximize the comprehensiveness of this analysis and evaluate genetic associations, we selected 2670 present-day and 108 ancient genomes (using published ancient genomes (Lazaridis et al. 2014; Lipson et al. 2018; Keller et al. 2012; Jones et al. 2015; Siska et al. 2017; Haak et al. 2015; Allentoft et al. 2015; Skoglund et al. 2014; Fu et al. 2014; Raghavan et al. 2014; Seguin-Orlando et al. 2014; Gamba et al. 2014)). To measure genetic associations, we used a notation f3(A,B;Kazakh), where A and B were ancient and present-day populations in various combinations. We employed the qp3PopTest program (v300) from the ADMIXTOOLS (v3) package to calculate the f3 statistics. We extracted the combinations which had high significance (|Z| > 3) and a sufficient number (> 1000) of examined SNPs (Table S2). The top 30 genome pairs with the most negative f3 values are plotted (“Results and discussion” section).

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