Back

Identifying rare, medically-relevant genetic variation in a diverse population: opportunities and pitfalls

Bowling, K. M.; Thompson, M. L.; Gray, D. E.; Lawlor, J. M.; Williams, K.; East, K. M.; Kelley, W. V.; Moss, I. P.; Absher, D. M.; Partridge, E. C.; Hurst, A. C.; Edberg, J. C.; Barsh, G. S.; Korf, B. R.; Cooper, G. M.

2020-06-02 genetics
10.1101/2020.05.28.122457 bioRxiv
Show abstract

PurposeTo evaluate the effectiveness and specificity of population-based genomic screening in Alabama. MethodsThe Alabama Genomic Health Initiative (AGHI) has enrolled and evaluated 5,369 participants for the presence of pathogenic/likely pathogenic (P/LP) variants using the Illumina Global Screening Array (GSA), with validation of all P/LP variants via Sanger sequencing in a CLIA-certified laboratory before return of results. ResultsAmong 131 variants identified by the GSA that were evaluated by Sanger sequencing, 67 (51%) were false positives (FP). For 39 of the 67 FP variants, a benign/likely benign variant was present at or near the targeted P/LP variant. Importantly, African-Americans were significantly enriched for FP variants, likely due to a higher rate of non-targeted alternative alleles close to array-targeted P/LP variants. ConclusionIn AGHI, we have implemented an array-based process to screen for highly penetrant genetic variants in actionable disease genes. We demonstrate the need for clinical validation of array-identified variants in direct-to-consumer or population testing, especially for diverse populations.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.