Multi-ancestry genetic analysis of gene regulation in coronary artery prioritizes disease risk loci
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Hodonsky, Chani J1
- Turner, Adam W1
- Khan, Mohammed Daud1
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Barrientos, Nelson B1
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Methorst, Ruben2
- Ma, Lijiang3
- Lopez, Nicolas G4
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Verdezoto Mosquera, Jose1
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Auguste, Gaëlle1
- Farber, Emily1
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Ma, Wei Feng1
- Wong, Doris1
- Onengut-Gumuscu, Suna1
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Leeper, Nicholas J4
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Kovacic, Jason C5
- Björkegren, Johan LM6
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Miller, Clint L1
- 1. University of Virginia
- 2. UMC Utrecht
- 3. Icahn Mt Sinai School of Medicine
- 4. Stanford University
- 5. Victor Chang Institute
- 6. Icahn Mt Sinai School of Medicine; Karolinska Institutet
Description
All files contain results generated in coronary artery tissue from 138 American adults. Scripts accompanying some of these data in downstream analyses can be viewed on our Github, which also contains a link to the current version of our accompanying manuscript: https://github.com/MillerLab-CPHG/CAD_QTL
Full summary statistics for eQTL associations using mixQTL (https://github.com/hakyimlab/mixqtl/wiki) by chromosome are located in UVA_coronary_mixQTL_sumstats_by_chromosome.zip
Full summary statistics for nominal pass for all genes identified as significant in the permutation pass using QTLtools (https://qtltools.github.io/qtltools/) adjusting for local ancestry by gene by chromosome are located in Local_ancestry_UVA_coronary_QTLtools_nominal_sumstats.zip
Full summary statistics for sQTL associations with splice junctions using QTLtools by gene are located in sQTL_results_UVA_coronary_full_sumstats.zip