ldsc_h2: Univariate LDSC
In MRCIEU/TwoSampleMR: Two Sample MR Functions and Interface to MR Base Database
ldsc_h2 R Documentation
Univariate LDSC
Description
Imported here to help estimate sample overlap between studies
Usage
ldsc_h2(id, ancestry = "infer", snpinfo = NULL, splitsize = 20000)
Arguments
id
ID to analyse
ancestry
ancestry of traits 1 and 2 (AFR, AMR, EAS, EUR, SAS) or 'infer' (default) in which case it will try to guess based on allele frequencies
snpinfo
Output from ieugwasr::afl2_list("hapmap3"), or NULL for it to be done automatically
splitsize
How many SNPs to extract at one time. Default=20000
Value
model fit
References
Bulik-Sullivan,B.K. et al. (2015) An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241.
Guo,B. and Wu,B. (2018) Principal component based adaptive association test of multiple traits using GWAS summary statistics. bioRxiv 269597; doi: 10.1101/269597
Gua,B. and Wu,B. (2019) Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach. Bioinformatics. 2019 Jul 1;35(13):2251-2257. doi: 10.1093/bioinformatics/bty961.
MRCIEU/TwoSampleMR documentation built on Sept. 28, 2024, 6:51 p.m.
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| ldsc_h2 | R Documentation |
Univariate LDSC
Description
Imported here to help estimate sample overlap between studies
Usage
ldsc_h2(id, ancestry = "infer", snpinfo = NULL, splitsize = 20000)
Arguments
id |
ID to analyse |
ancestry |
ancestry of traits 1 and 2 (AFR, AMR, EAS, EUR, SAS) or 'infer' (default) in which case it will try to guess based on allele frequencies |
snpinfo |
Output from |
splitsize |
How many SNPs to extract at one time. Default= |
Value
model fit
References
Bulik-Sullivan,B.K. et al. (2015) An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241.
Guo,B. and Wu,B. (2018) Principal component based adaptive association test of multiple traits using GWAS summary statistics. bioRxiv 269597; doi: 10.1101/269597
Gua,B. and Wu,B. (2019) Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach. Bioinformatics. 2019 Jul 1;35(13):2251-2257. doi: 10.1093/bioinformatics/bty961.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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