Last updated: 2021-03-16

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Knit directory: dsc_susierss/

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Rmd 9b772ae zouyuxin 2021-03-16 update results

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 using the 3 steps procudure. 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.

PIP Calibration

SuSiE-RSS

SuSiE-RSS-suff

SuSiE-RSS-lambda

CAVIAR

FINEMAP v1.1

FINEMAP v1.4

FINEMAP v1.4 L4

Power vs FDR

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

CS

Overall

1 signal

2 signals

3 signals