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SG10K Health

the National Precision Medicine (NPM) program represents a whole-of-government ten-year strategy to establish precision medicine as a peak of research excellence for Singapore. Phase I (2017-2021) was a "proof-of-concept" phase demonstrating the feasibility of large-scale genomic data generation with linkage to electronic health data. A headline deliverable of NPM Phase I was generating a genomic reference database of 10,000 healthy Singaporeans (SG10K_Health).

Data production

  • Whole Genome Sequencing of 10,323 healthy Singaporean was performed.
  • Single-sample gVCF files were obtained following GATK4 "germline short variant per-sample calling" reference implementation defined parameters and companion files (GATK resource bundle GRCh38).
  • msVCF files were obtained by performing a joint-calling step.

Sample QC & annotation

  • Variants failing VQSR filter were removed
  • Sex was imputed based on the mean depth ratio of chrX/chr20 and chrY/chr20 of each sample, and samples with abnormal ploidy were excluded.
  • Samples with call rate < 95%, contamination rate > 2%, and error rate > 1.5% were excluded.
  • Median Average Deviation (MAD) was computed on autosome only for ratio insertion/deletion, ratio transition/transversion, and ratio heterozygote/homozygote alternative. Samples with a deviation of more than 6xMAD were excluded
  • Genotypes on chr X and Y were corrected according to the imputed sex.
  • Genotype with allele balance (AB) > 0.8 or AB < 0.2, read depth (DP) < 5 or genotype quality < 20 were excluded.
  • Remaining variants were annotated using VEP95 in merged mode (Gencode + Refseq reference).

Access to SG10K_Health genomic data on request to the NPM Data Access Committee (DAC) via ([email protected]).

Data available:

  • sites-only VCFs
  • multi-sample VCFs
  • hail matrix tables

Analysis

Analysis is performed via a collection of Jupyter notebook with Hail library and access to SG10K_Health hail matrix tables.

  • SG10K_Health-Statistics explore current release and compute relevant statistics.