Reads returned data
bio_return(project_dir, return = NULL)
Path to the enclosing directory of a UKB project.
A integer indicating which UKB return to read, e.g.,
3388
for PGxPOP returned allele and phenotype calls.
For return 3388
a data frame of
PGxPOPcalled diplotypes and phenotypes, for both the imputed and integrated
(imputed plus exome) data. See McInnes et al (2020) Pharmacogenetics at scale: An analysis of the UK BiobankFor return 1701
a list of two dataframes: calls
and sumstats
.
CNV calls for the full UK Biobank analysed with Affymetrix
Powertools, followed by PennCNV. For methods see Kendall et al.,
Biol Psychiatry, 2017. sumstats
column Filter
indicates
whether a person passed (1) or failed (0) filtering criteria:
call_rate>0.96 & NumCNV<31 & WF>-0.03 & WF<0.03 & LRR_SD <0.35
calls
includes:
f.eid: the ID (specific to project 14421)
chr: chromosome number (only autosomes are included)
start / end: position on the chromosome in bp, according to hg19.
Type: copy number (0,1 = deletions, 3,4 = duplications)
Size: length of the CNV in base pairs
Probe: number of SNP probes within the CNV (we have retained only CNVs covered with 10 or more probes)
Conf: confidence call for the CNV, according to PennCNV
Pathogenic_CNVs: CNVs in 92 regions described in the Supplementary material (Supplementary Table 1) of Owen D, Bracher-Smith M, Kendall KM, Rees E, Einon M, Escott-Price V, Owen MJ, O'Donovan MC, Kirov G. Effects of pathogenic CNVs on physical traits in participants of the UK Biobank. BMC Genomics. 2018 Dec 4;19(1):867. doi: 10.1186/s12864-018-5292-7. PMID: 30509170. The calls have been checked manually and the criteria for accepting a CNV are listed in the same paper: Supplementary Table 2 (typically >50% of the critical interval).
N_genes_hit: the number of genes within the CNV (can be intronic)
Call_rate / LRR_SD / WF / Num_CNV: indicate the quality control measures for the individual carrying the CNV, identical to those in the “Summary_statistics.dat” file.
Density: indicates the number of base pairs per probe within the CNV. We recommend no more than 20,000bp per probe for a CNV to be accepted.
Filter: CNVs are filtered out (0) if they were called on good arrays (call_rate>0.96 & NumCNV<31 & WF>-0.03 & WF<0.03 & LRR_SD <0.35) and had a density of <20,000bp.