NGSadmix & evalAdmix

RB Renzo F. Balboa
LB Laura D. Bertola
AB Anna Brüniche-Olsen
MR Malthe Sebro Rasmussen
XL Xiaodong Liu
GB Guillaume Besnard
JS Jordi Salmona
CS Cindy G. Santander
SH Shixu He
DZ Dietmar Zinner
MP Miguel Pedrono
VM Vincent Muwanika
CM Charles Masembe
MS Mikkel Schubert
JK Josiah Kuja
LQ Liam Quinn
GG Genís Garcia-Erill
FS Frederik Filip Stæger
RR Rianja Rakotoarivony
MH Margarida Henrique
LL Long Lin
XW Xi Wang
MH Michael P. Heaton
TS Timothy P. L. Smith
KH Kristian Hanghøj
MS Mikkel-Holger S. Sinding
AA Anagaw Atickem
LC Lounès Chikhi
CR Christian Roos
PG Philippe Gaubert
HS Hans R. Siegismund
IM Ida Moltke
AA Anders Albrechtsen
RH Rasmus Heller
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Admixture proportions for each population were inferred based on GL using NGSadmix32. A Beagle file, using the same filters to investigate population structure with PCAngsd, was taken and randomly thinned to contain one million sites for computational practicality. We ran NGSadmix with K = 2 to K = 9 until the model converged, where the top 3 maximum likelihood runs were within 10 log-likelihood units of each other or until a limit of 4000 independent runs was reached without convergence. K = 9 did not converge after 4000 independent runs, likely constrained by the number of samples per population. Model-based analyses of population structure make a set of assumptions about the data (e.g., individuals are unrelated, are in HWE, exhibit no LD, and that each ancestral population is represented by multiple unadmixed individuals with no subsequent drift). Therefore, we calculated the correlations of residuals using evalAdmix33 for each pair of individuals to evaluate model fit and to test whether the data violated some of these assumptions for K ancestral clusters.

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