Last updated: 2021-03-16
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Knit directory: dsc_susierss/
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This simulation uses UKB genotype data. We extract the genotype regions based on height GWAS result. There are 200 regions, each with 1000 SNPs. We sample 50,000 individuals to simulate the data. We sample another 1000 samples to get reference LD matrix. We simulate data with 1,2,3 signals and PVE 0.005. We run susie_rss with L=10. We run FINEMAPv1.1 and CAVIAR with oracle number of signals. We run FINEMAPv1.4 with oracle number of signals and max 4 signals.
We first check the impact of estimating residual variance.
The results are similar. We fix residual variance as 1 in the following comparisons.
SuSiE-RSS
SuSiE-RSS-suff
SuSiE-RSS-lambda
CAVIAR
FINEMAP v1.1
FINEMAP v1.4
FINEMAP v1.4 L4
Using in sample LD
Using ref LD
SuSiE-RSS with reference LD
SuSiE-RSS-suff with reference LD
SuSiE-RSS-lambda with reference LD
CAVIAR with reference LD
FINEMAP v1.1 with reference LD
FINEMAP v1.4 with reference LD
Overall
1 signal
2 signals
3 signals