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Ischaemic stroke metaGRS

dataset
posted on 2019-07-02, 23:22 authored by Gad AbrahamGad Abraham, Michael InouyeMichael Inouye
<div>A genomic risk score (metaGRS, a meta-score combining multiple GRSs) for ischaemic stroke, consisting of 3.2 million SNPs that had MAF >1% in the UK Biobank British white subset and imputation INFO >0.4 over the entire UK Biobank dataset.<br></div><div><br></div><div>Also provided is a version further excluding ambiguous strand SNPs (A/T or G/C), leaving 2.76 million SNPs. This score had very similar performance in the UK Biobank validation set in terms of association with age of ischaemic stroke.<br></div><div><br></div><div>The rsids, positions, and alleles are with respect to UK Biobank genotyping release 2 (hg19).<br></div><div><br></div><div>Also included are the SNP weights for each component GRS that contributed to the stroke metaGRS, as well as the weights for the metaGRS itself.</div><div><br></div><div><br></div><div>To apply the metaGRS scores to new data with plink use:</div><div><br></div><div>plink --bfile your_data \</div><div>--score metaGRS_stroke_IS_MAF0.01_INFO0.4_exclATGC.txt 2 4 18 header sum</div><div><br></div>

Funding

Using systems biology to model and predict human diseases

National Health and Medical Research Council

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Large-Scale Multi-Omic Analysis and Risk Prediction of Complex Human Disease

National Health and Medical Research Council

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Horizon 2020 #666881

Horizon 2020 #667375

EXC 1010:  Munich Cluster for Systems Neurology (SyNergy)

Deutsche Forschungsgemeinschaft

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UK Medical Research Council MR/L003120/1

British Heart Foundation RG/13/13/30194

Horizon 2020 SVDs@target

Horizon 2020 CoSTREAM

CRC 1123 (B3)

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