Version: R4 Assembly: Human Dec. 2013 (GRCh38/hg38)
Description
The NCBI ALlele Frequency
Aggregator (ALFA) pipeline computes allele frequencies from approved, unrestricted dbGaP studies
and makes them publicly available through dbSNP. Its goal is to release frequency data from over
one million dbGaP subjects to aid discoveries involving common and rare variants with biological
or disease relevance. The R4 release aggregates allele frequencies from 408,709 subjects.
After conversion to VCF and removal of zero-frequency entries, the UCSC track contains
163 million variants (146 million SNPs and 17 million indels), including hundreds of
thousands of ClinVar variants.
Data Access
The data can be explored interactively with the
Table Browser or the
Data Integrator.
For programmatic access, our REST API can be used; the
track name is alfaVcf.
For bulk download, the VCF file can be obtained from
our download server.
We converted the NCBI track hub to VCF format; the data is freely available.
Genotype and associated individual-level data are accessible through the dbGaP
authorized access request system.
Methods
The ALFA pipeline processes genotype data from approved, unrestricted dbGaP studies, including
chip array, exome, and genomic sequencing data. Selected study data undergoes quality assurance
and transformation to standard VCF format. Variants are converted to SPDI notation and normalized
using VOCA, then aggregated, remapped, and clustered to existing dbSNP rs identifiers or assigned
new ones. Sample ancestries are validated using GRAF-pop and assigned to 12 major populations.
QC exclusions include variants and subjects with call rate <95%, datasets failing Ancestry
Informative Markers consistency checks, and array datasets with conflicting or flipped allele
orientation.
The ALFA R4 bigBed files (904M variants) were converted to VCF using a custom script, retaining
the 163M variants with non-zero allele frequency (146M SNPs, 17M indels).
The makeDoc file documents how the source files of the varFreqs track were converted.
For some tracks, python scripts were also needed; these are available on GitHub.
References
NCBI ALFA does not yet have a peer-reviewed primary publication. Cite the project as:
Phan L, Jin Y, Zhang H, Qiang W, Shekhtman E, Shao D et al.
ALFA: Allele Frequency Aggregator.
National Center for Biotechnology Information, U.S. National Library of Medicine, 10 March 2020.