Downward bias in the association between APOE and Alzheimer's Disease using prevalent and by-proxy disease sampling in the All of Us Research Program.

BACKGROUND

Recent genome-wide association studies (GWAS) for Alzheimer's Disease and related dementias (ADRD) have increased statistical power via larger analysis datasets from biobanks by 1) including non-age-matched controls and prevalent cases, and/or 2) including individuals who report a family history of ADRD as proxy cases. However, these methods have the potential to increase noise and distort genetic associations which are important for genomic-informed prevention and treatment of ADRD. Here, we sought to understand how the effect sizes of genetic associations in ADRD could be sensitive to these methodological choices, using genotypes as an example.

METHODS

Participants in the Research Program over the age of 49 at enrollment (n=258,693) were assigned one of four categories: incident ADRD (developed after enrollment in ), prevalent ADRD (present on enrollment), proxy ADRD (participant noted a family history of ADRD), and control (no history or diagnosis of ADRD). Dementia diagnoses were determined using available Electronic Health Records (EHR) and genotype was determined using whole-genome sequencing. Effect sizes for the associations between risk alleles and ADRD diagnoses were compared using polychotomous logistic regression.

RESULTS

The mean age of the cohort was 67±10 years, and it was 58% female; 63% clustered predominantly with European genetic reference populations. Among the participants, 3,107 (1.2%) had prevalent ADRD, 301 (0.1%) had incident ADRD, and 19,910 (7.7%) reported a family history of ADRD (proxy ADRD). Both prevalent and proxy ADRD had attenuated associations with genotype compared to incident ADRD. The adjusted generalized ratio (95% CI) (AGR) for incident ADRD for ε4 heterozygotes was 2.95 (2.31-3.74) compared to 2.10 (1.96-2.24) and 1.42 (1.32-1.55) for proxy and prevalent ADRD, respectively. For ε4 homozygotes, the effect sizes were even more different. Furthermore, association effect sizes increased when restricting the control (no ADRD) group to older age brackets.

CONCLUSIONS

Our study highlights how genetic associations with ADRD can be sensitive to how cases are defined in biobanks like , with effect sizes downwardly biased when using prevalent or by-proxy cases compared to incident cases.