Loading required namespace: GenomicFiles Using local VCF. File already tabix-indexed. Finding empty VCF columns based on first 10,000 rows. 1 sample detected: ieu-b-103 Constructing ScanVcfParam object. VCF contains: 2,529,804 variant(s) x 1 sample(s) Reading VCF file: multi-threaded (4 threads) Renaming ID as SNP. VCF file has -log10 P-values; these will be converted to unadjusted p-values in the 'P' column. No INFO (SI) column detected. Standardising column headers. First line of summary statistics file: SNP chr BP end REF ALT FILTER ES LP SE SS P Summary statistics report: - 2,529,799 rows - 2,528,935 unique variants - 188 genome-wide significant variants (P<5e-8) - 22 chromosomes Checking for multi-GWAS. Checking for multiple RSIDs on one row. Inferring genome build. Loading SNPlocs data. Loading reference genome data. Preprocessing RSIDs. Validating RSIDs of 10,000 SNPs using BSgenome::snpsById... Loading required package: BiocGenerics Attaching package: ‘BiocGenerics’ The following objects are masked from ‘package:stats’: IQR, mad, sd, var, xtabs The following objects are masked from ‘package:base’: anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep, grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank, rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min Loading required package: S4Vectors Loading required package: stats4 Attaching package: ‘S4Vectors’ The following objects are masked from ‘package:base’: expand.grid, I, unname BSgenome::snpsById done in 42 seconds. Loading SNPlocs data. Loading reference genome data. Preprocessing RSIDs. Validating RSIDs of 10,000 SNPs using BSgenome::snpsById... BSgenome::snpsById done in 86 seconds. Inferred genome build: GRCH37 Checking SNP RSIDs. Checking for merged allele column. Checking A1 is uppercase Checking A2 is uppercase Checking for incorrect base-pair positions Ensuring all SNPs are on the reference genome. Loading SNPlocs data. Loading reference genome data. Preprocessing RSIDs. Validating RSIDs of 2,528,935 SNPs using BSgenome::snpsById... BSgenome::snpsById done in 91 seconds. 161,533 SNPs are not on the reference genome. These will be corrected from the reference genome. Loading SNPlocs data. Sorting coordinates with 'data.table'. Writing in tabular format ==> /rds/general/project/neurogenomics-lab/ephemeral/MAGMA_Files_Public/data/GWAS_munged/ieu-b-103/logs/snp_not_found_from_chr_bp.tsv Writing uncompressed instead of gzipped to enable tabix indexing. Converting full summary stats file to tabix format for fast querying... Reading header. Ensuring file is bgzipped. Tabix-indexing file. Removing temporary .tsv file. Loading SNPlocs data. Loading reference genome data. Preprocessing RSIDs. Validating RSIDs of 2,520,121 SNPs using BSgenome::snpsById... BSgenome::snpsById done in 62 seconds. Checking for correct direction of A1 (reference) and A2 (alternative allele). There are 12 SNPs where neither A1 nor A2 match the reference genome. These will be removed. Sorting coordinates with 'data.table'. Writing in tabular format ==> /rds/general/project/neurogenomics-lab/ephemeral/MAGMA_Files_Public/data/GWAS_munged/ieu-b-103/logs/alleles_dont_match_ref_gen.tsv Writing uncompressed instead of gzipped to enable tabix indexing. Converting full summary stats file to tabix format for fast querying... Reading header. Ensuring file is bgzipped. Tabix-indexing file. Removing temporary .tsv file. There are 19 SNPs where A1 doesn't match the reference genome. These will be flipped with their effect columns. Reordering so first three column headers are SNP, CHR and BP in this order. Reordering so the fourth and fifth columns are A1 and A2. Checking for missing data. Checking for duplicate columns. Ensuring that the N column is all integers. The sumstats N column is not all integers, this could effect downstream analysis. These will be converted to integers. Checking for duplicate SNPs from SNP ID. Checking for SNPs with duplicated base-pair positions. INFO column not available. Skipping INFO score filtering step. Filtering SNPs, ensuring SE>0. Ensuring all SNPs have N<5 std dev above mean. Checking for bi-allelic SNPs. 65,751 SNPs are non-biallelic. These will be removed. Sorting coordinates with 'data.table'. Writing in tabular format ==> /rds/general/project/neurogenomics-lab/ephemeral/MAGMA_Files_Public/data/GWAS_munged/ieu-b-103/logs/snp_bi_allelic.tsv Writing uncompressed instead of gzipped to enable tabix indexing. Converting full summary stats file to tabix format for fast querying... Reading header. Ensuring file is bgzipped. Tabix-indexing file. Removing temporary .tsv file. Computing Z-score from P using formula: `sign(BETA)*sqrt(stats::qchisq(P,1,lower=FALSE)` N already exists within sumstats_dt. Sorting coordinates with 'data.table'. Sorting coordinates with 'data.table'. Writing in tabular format ==> /rds/general/project/neurogenomics-lab/ephemeral/MAGMA_Files_Public/data/GWAS_munged/ieu-b-103/ieu-b-103.tsv Writing uncompressed instead of gzipped to enable tabix indexing. Converting full summary stats file to tabix format for fast querying... Reading header. Ensuring file is bgzipped. Tabix-indexing file. Removing temporary .tsv file. Summary statistics report: - 2,454,358 rows (97% of original 2,529,799 rows) - 2,454,358 unique variants - 182 genome-wide significant variants (P<5e-8) - 22 chromosomes Done munging in 12.848 minutes. Successfully finished preparing sumstats file, preview: Reading header. SNP CHR BP A1 A2 END FILTER BETA LP SE N 1: rs12565286 1 721290 G C 721290 PASS -0.0007 0.0228253 0.0111 46368 2: rs11804171 1 723819 T A 723819 PASS -0.0015 0.0495378 0.0111 46368 3: rs2977670 1 723891 G C 723891 PASS -0.0076 0.1458150 0.0208 46368 4: rs12138618 1 750235 G A 750235 PASS -0.0077 0.1508260 0.0204 46368 5: rs3094315 1 752566 G A 752566 PASS 0.0037 0.3471740 0.0049 46368 P Z 1: 0.9488001 -0.06421372 2: 0.8922000 -0.13552100 3: 0.7148008 -0.36541620 4: 0.7066006 -0.37642549 5: 0.4495997 0.75608258