Description Usage Format Source Examples
Risk scores parameterised using GWAS meta-analysis results published by Chambers et al. (Nature Genetics 2011) for serum ALT, ALP and GGT levels.
1 |
A data frame suitable for use with other functions in this package, see gtx.params.
The scores are called ALT2011, ALP2011 and GGT2011, for serum
concentrations of alanine transaminase (ALT), alkaline phosphatase
(ALP) and gamma-glutamyl transferase (GGT). The first twelve columns
of data were taken from Table 1 of Chambers et al. (2011). Effect
sizes (coef
) are on log10(concentration) scale, from inverse
variance weighted meta-analyses over 17 studies, with analysed sample
sizes 45596, 56415 and 61089, for ALT, ALP and GGT respectively. Two
additional columns of data (beta_replication
and
se_replication
) were taken from Supplementary Table 18 of
Chambers et al. (2011), and give the effect size and SE (back
calculated from the reported P-value) in an independent replication
sample of size 8112.
For the publication by Chambers et al. from which these data were extracted see http://dx.doi.org/10.1038/ng.970.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(liver.scores)
with(subset(liver.scores, score == "ALP2011"), {
plot(pmin(coded.freq, 1 - coded.freq), coef,
xlab = "MAF", ylab = "ALP effect",
xlim = c(0, 0.5), ylim = c(0, 10), las = 1)
text(pmin(coded.freq, 1 - coded.freq), coef, name,
pos = 3, cex = 0.5)})
## compare unweighted score used by Chambers et al. 2011
## with weighted score:
with(subset(liver.scores, score == "ALP2011"),
rbind(unlist(grs.summary(rep(1, length(coef)), beta_replication,
se_replication, n = 8112)),
unlist(grs.summary(coef, beta_replication,
se_replication, n = 8112))))
|
Loading required package: survival
m n X2m R2m ahat aSE X2rs R2rs
[1,] 14 8112 468.9801 0.05617369 2.5035835 0.14244639 308.9024 0.03736377
[2,] 14 8112 468.9801 0.05617369 0.9136978 0.04335698 444.1064 0.05327521
pval Qrs phet
[1,] 3.787348e-69 160.07771 1.901086e-27
[2,] 1.382751e-98 24.87369 2.398158e-02
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