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. 2022 Aug 18;54(9):1355–1363. doi: 10.1038/s41588-022-01154-4

Extended Data Fig. 1. Comparison of statistical power between THISTLE and sQTLseekeR by simulation with transcription abundances generated from a multivariate distribution.

Extended Data Fig. 1

Transcription abundance was simulated from either a multivariate normal distribution (panels a and c) or a multivariate Poisson distribution (panels b and d) with (scenario 4) or without an eQTL effect (scenario 3) in a sample of 500 unrelated individuals (Section 2 of the Supplementary Note). The THISTLE and sQTLseekeR p-values were computed from a one-sided sum of chi-squared test (approximated by the Saddlepoint algorithm) and pseudo-F test (approximated by the Davies algorithm), respectively.

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