Table 3 Putative core genes and functional targets with disease association.

			Protein AF association
Gene	Chr	Type	β	T-value	P-value	FDR
TNNT2^a,d	chr1	Trans-eQTL	−0.0609	−1.61	0.113	1.00
NKX2-5^b	chr5	Trans-eQTL
CYB5R3	chr22	Trans-pQTL	−0.0212	−0.662	0.511	1.00
NDUFB3^c	chr2	Trans-pQTL	−0.0631	−1.35	0.182	1.00
HIBADH	chr7	Trans-pQTL	−0.0454	−1.24	0.218	1.00
NDUFA9^d	chr12	Trans-pQTL	−0.0533	−1.20	0.235	1.00
DLAT	chr11	Trans-pQTL	−0.0231	−0.579	0.564	1.00
PPIF	chr10	NKX2-5 target	−0.0342	−1.13	0.261	1.00
MYL4^b,d	chr17	NKX2-5 target	−0.0270	−0.664	0.509	1.00
CKM^d	chr19	NKX2-5 target	−0.0875	−2.78	0.00705	0.120
MYL7	chr7	NKX2-5 target	−0.0421	−1.04	0.304	1.00
PGAM2^d	chr7	NKX2-5 target	−0.175	−3.70	0.000452	0.00813
TNNC1^a	chr3	NKX2-5 target	−0.0557	−1.71	0.0929	1.00
CYC1	chr8	NKX2-5 target	−0.0946	−2.14	0.036	0.545
ETFB^b,d	chr19	NKX2-5 target	−0.0553	−1.65	0.105	1.00
PRDX5	chr11	NKX2-5 target	−0.0524	−1.79	0.0789	1.00
AK1	chr9	NKX2-5 target	−0.0669	−2.17	0.0341	0.545
ALDOA^d	chr16	NKX2-5 target	−0.0646	−2.17	0.0341	0.545
TCAP^a	chr17	NKX2-5 target	−0.0178	−0.282	0.779	1.00
TOM1L2	chr17	NKX2-5 target	−0.0771	−1.75	0.0849	1.00

Proteomics differential abundance results in human atrial appendage tissue for prevalent AF. Two-sided t-tests were calculated as part of a multiple linear regression model including AF-related covariates sex, age, BMI, diabetes, systolic blood pressure, hypertension medication, myocardial infarction and smoking status (see methods differential protein analysis, N = 78, df = 66). The Benjamini-Hochberg procedure was used to asses FDR and account for multiple comparisons.
AF atrial fibrillation, BMI body mass index, QTL quantitative trait loci, FDR false discovery rate.
^aMutation known to affect cardiovascular phenotypes.
^bMutation known to affect arrhythmias.
^cDifferential expression or functional impairment for cardiovascular phenotypes.
^dDifferential expression or functional impairment for arrhythmias.

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