These files contain the summary statistics of the meta-analyses from the VgHRV Consortium for the following traits in the Nolte et al. 2017 publication:

1.    standard deviation of the normal-to-normal interval (SDNN)
2.    root mean square of successive differences (RMSSD)
3.    peak-valley respiratory sinaus arrhythmia / high frequency power (pvRSA/HF)


For SDNN, results of 18 cohorts (max N=28,112) were meta-analyzed using a fixed effects inverse-variance meta-analysis using double genomic control (lambda_meta=1.032).
For RMSSD, results of 15 cohorts (max N=26,785) were meta-analyzed using a fixed effects inverse-variance meta-analysis using double genomic control (lambda_meta=1.033). 
For pvRSA/HF, results of 17 cohorts (max N=24,342) were meta-analyzed using a sqrt(sample size) weighted z-score meta-analysis using double genomic control (lambda_meta=1.033). 


The data in the files for SDNN and RMSSD are presented as follows:
chromosome		=chromosome number
position		=position (build 36)
rs_number		=rsid of the SNP
reference_allele 	=reference / coded / effect allele
other_allele 		=other allele
eaf 			=frequency of the reference allele
beta 			=effect size for the reference allele
se 			=standard error of beta
p.value 		=p-value of the SNP
q_statistic 		=Q statistic for heterogeneity
q_p.value 		=p-value of the Q statistic
i2 			=I2 value for heterogeneity
n_studies 		=number of studies analyzed for the SNP
n_samples 		=total sample size analyzed for the SNP
effects			=directions of the effect sizes within the cohorts 
			 (order of cohorts for effects for SDNN:  ARIC, CHS, FHS, FINGESTURE, GTR, KORAS4, MESA, NESDA, NTR, PIVUS, PREVEND, RS, RS2, TRAILS-CC, TRAILS-POP, ULSAM, YFS)
			 (order of cohorts for effects for RMSSD: ARIC, CHS, FHS, GTR, KORAS4, MESA, MRS, NESDA, NTR, PREVEND, RS, RS2, TRAILS-CC, TRAILS-POP, YFS)


The data in the file for pvRSA/HF are presented as follows:
MarkerName 		=rsid of the SNP
Allele1 		=reference / coded / effect allele
Allele2 		=other allele
Freq1 			=frequency of the reference allele
Zscore 			=z-score for the reference allele
P.value 		=p-value of the SNP
Direction 		=directions of the effect sizes within the cohorts
                         (order of cohorts for effects: ARIC, CHS, FHS, FINGESTURE, FLEMENGHO-EPOGH, GENR, GTR, KORAS4, NESDA, NTR, PIVUS, PREVEND, TRAILS-CC, TRAILS-POP, ULSAM, YFS)
TotalSampleSize 	=total sample size analyzed for the SNP
chr 			=chromosome number
pos 			=position (build 36)
beta 			=effect size for the reference allele according to a fixed-effects inverse variance analysis from which NESDA, NTR, PIVUS and ULSAM were excluded
se			=standard error of beta according to a fixed-effects inverse variance analysis from which NESDA, NTR, PIVUS and ULSAM were excluded



If you want to use the summary statistics for application in one of the participating cohorts, please consider the R package ‘MetaSubtract’ 
to subtract the cohort’s GWAS results from the summary statistics to compute meta-GWAS summary statistics that are independent of your cohort.



The preferred citation is as follows:

Nolte IM, Munoz ML, Tragante V, Amare AT, Jansen R, Vaez A, ..., de Geus EJC. Genetic loci associated with heart rate variability and their
effects on cardiac disease risk. Nat Commun 2017;8:15805. PubMed PMID: 28613276