Genotype concordance and polygenic risk score estimation across consumer genetic testing data.
Prag BatraKuan-Lin HuangPublished in: Annals of human genetics (2020)
The consumer genomics industry is steadily growing and delivering genetic information to over 10 million individuals. Yet, the implications of using data from different services remain unclear. We investigated the genotyped sites, concordance, and genetic risk estimation using data from three consumer services-two single nucleotide polymorphism (SNP)-array based and one sequencing based. In an N-of-one setting, we found the three services genotyped predominantly distinct sets of sites. While there was a high concordance between overlapping sites of the two SNP-array services (99.6%), there was a lower concordance between these services and a low-pass whole-genome service (73.0%). The discrepancy between the three sets of data resulted in different APOE genotypes and genetic risk scores of Alzheimer's disease. Our results demonstrate genotype results across consumer genomics platforms may lead to different genetic risk estimates, highlighting the need for careful quality control and interpretation.
Keyphrases
- healthcare
- genome wide
- mental health
- primary care
- health information
- electronic health record
- big data
- quality control
- single cell
- copy number
- dna methylation
- cognitive decline
- affordable care act
- high density
- adipose tissue
- type diabetes
- high fat diet
- data analysis
- gene expression
- mild cognitive impairment
- deep learning
- skeletal muscle
- high throughput sequencing
- breast cancer risk