Supplementary table 3 — scallop

Supplementary information for Zhao et al. (2023) .

Usage

scallop_inf1

Format

A data frame with 180 rows and 19 variables:

UniProt: UnitProt ID
Protein: Protein name
Protein_gene_symbol: Gene symbol
Chromosome: Chromosome
Position: Position
cistrans: cis/trans
rsid: reference sequence ID
Effect_allele: Effect allele
Other_allele: Eeference allele
EAF: Effect allele frequency
b: b
SE: SE
log10P: log10(P)
Direction: Direction field in METAL output
HetISq: I\(^2\)
HetChiSq: Heterogeneity chi-square
HetDf: degrees of freedom
logHetP: Heterogeneity log10(P)
N: N

References

Zhao JH, Stacey D, Eriksson N, Macdonald-Dunlop E, Hedman ÅK, Kalnapenkis A, Enroth S, Cozzetto D, Digby-Bell J, Marten J, Folkersen L, Herder C, Jonsson L, Bergen SE, Gieger C, Needham EJ, Surendran P, Team EBR, Paul DS, Polasek O, Thorand B, Grallert H, Roden M, Võsa U, Esko T, Hayward C, Johansson Å, Gyllensten U, Powell N, Hansson O, Mattsson-Carlgren N, Joshi PK, Danesh J, Padyukov L, Klareskog L, Landén M, Wilson JF, Siegbahn A, Wallentin L, Mälarstig A, Butterworth AS, Peters JE (2023). “Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets.” Nature Immunology, 24(9), 1540-1551. doi:10.1038/s41590-023-01588-w .