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Fig 1.

Theoretical predictions of power per causal SNP (upper panel) and out-of-sample R2 of the PGS (lower panel), for total sample size (x-axis) and cross-study genetic correlation (y-axis).

Factor levels: 50 studies, 100k independent SNPs, and arising from a subset of 1k independent SNPs.

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Fig 1 Expand

Fig 2.

Theoretical predictions of power per causal SNP (upper panel) and out-of-sample R2 of the PGS (lower panel), for a trait that across studies has SNP heritability (x-axis) and cross-study genetic correlation (y-axis).

Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and heritability arising from a subset of 1k independent SNPs.

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Fig 2 Expand

Fig 3.

Theoretical predictions of power per causal SNP (upper panel) and out-of-sample R2 of the PGS (lower panel), for a trait with GWAS results from the number of studies (x-axis) with cross-study genetic correlation (y-axis).

Factor levels: total sample size 250,000 individuals, 100k independent SNPs, and arising from a subset of 1k independent SNPs.

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Fig 3 Expand

Fig 4.

Theoretical predictions of out-of-sample R2 of the PGS, for the SNP heritability in the hold-out sample (x-axis) and the SNP heritability in the discovery samples (y-axis).

Factor levels: 50 studies, sample size 5,000 individuals per study, cross-study genetic correlation 0.8, 100k independent SNPs, and heritability arising from a subset of 1k independent SNPs.

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Fig 4 Expand

Fig 5.

Theoretical predictions of power per causal SNP, for total sample size (x-axis) and CGR between two sets of studies (y-axis).

Factor levels: 2 sets of 50 studies, CGR equal to 1 within both sets, 100k independent SNPs, and arising from a subset of 1k independent SNPs.

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Fig 5 Expand

Table 1.

GREML estimates of SNP heritability and genetic correlation across studies and sexes.

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Table 1 Expand

Table 2.

Predicted and observed number of genome-wide-significant hits and PGS R2, for large-scale GWAS efforts to date for height, BMI, EduYears, and self-rated health, assuming 250k effective SNPs (i.e., independent haplotype blocks) of which 20k trait-affecting, using averaged GREML estimates from Table 1 for setting SNP heritability and CGR.

Notes on the sources for the large-scale GWAS efforts are listed in S3 Table.

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Table 2 Expand