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Published on: June 14, 2020
Basic Science and Pathogenesis
Mark W Logue1,2, Rui Zhang2, Mark Miller2
1Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Insights
Cardiovascular diseases (CVDs) significantly increase Alzheimer's disease and related dementias (ADRD) risk, especially with APOE-ε4. Gene-environment interactions show additive effects, highlighting the need for combined genetic and comorbidity assessments for dementia risk.
Area of Science:
- Neuroscience
- Genetics
- Epidemiology
Background:
- Cardiovascular diseases (CVDs) like peripheral artery disease (PAD) and coronary artery disease (CAD) are established risk factors for Alzheimer’s disease and related dementias (ADRD).
- The APOE-ε4 variant, a major genetic risk factor for AD, is associated with increased cholesterol and triglyceride levels, further elevating cardiovascular disease risk.
- This study investigates the combined impact of APOE-ε4 and CVDs on ADRD prevalence within the US Department of Veterans Affairs' Million Veteran Program (MVP).
Purpose of the Study:
- To examine the interactive effects of APOE-ε4 genotype with cardiovascular diseases (CVDs) on the prevalence of Alzheimer's disease and related dementias (ADRD).
- To assess gene-by-environment (GxE) interactions between APOE-ε4 and a spectrum of CVDs (PAD, CAD, myocardial infarction, hypertension, hyperlipidemia) in relation to ADRD.
- To provide a more interpretable measure of interaction using additive-scale metrics (Relative Excess Risk due to Interaction - RERI).
Main Methods:
- Utilized a large cohort of European ancestry MVP participants (n=11,112 ADRD cases, 170,361 controls) aged 65+ with genotype data.
- Performed cross-sectional logistic regression analyses using the GEM software package to test for GxE interactions.
- Employed validated algorithms for identifying ADRD, myocardial infarction (MI), PAD, CAD, hypertension, and hyperlipidemia using ICD codes and Phecodes.
Main Results:
- CVDs demonstrated significant main-effect associations with ADRD (ORs 1.55-1.82, p < 10^99).
- Both omnibus and individual CVD interaction terms revealed significant GxE interactions between APOE-ε4 and CVDs (p-values as low as 7x10^-8).
- RERI estimates confirmed significant positive additive-scale interactions, indicating that the combined risk of APOE-ε4 and CVDs for ADRD is greater than the sum of their individual risks.
Conclusions:
- Additive-scale interactions between APOE-ε4 and CVDs provide a more direct interpretation of their combined effect on ADRD prevalence.
- ADRD prevalence increases with the number of inherited APOE-ε4 alleles in individuals with cardiovascular disease.
- Integrating genetic information (APOE-ε4) with health comorbidity data (CVDs) can enhance dementia risk assessment accuracy, particularly in veteran populations.
Background:
Cardiovascular diseases (CVDs) such as peripheral artery disease (PAD) and coronary artery disease (CAD) are risk factors for Alzheimer's disease (AD) and related dementias (ADRD). The APOE-ε4 variant, which codes for a cholesterol transporter protein, is the largest AD genetic risk factor, increases LDL cholesterol and triglycerides, and augments the risk of cardiovascular disease. In this study of participants in the US Department of Veterans Affairs' Million Veteran Program (MVP), we examined the interactive effects of APOE-ε4 status with CVDs (PAD, CAD, myocardial infarction, hypertension, and hyperlipidemia) on ADRD prevalence.
Method:
Our cohort included MVP participants of European ancestry age 65 and older with available genotype data (n = 11,112 ADRD cases and 170,361 controls). Cross-sectional logistic regression analyses were performed using the GEM (Gene-Environment interaction analysis in Millions of samples) software package and included fitting an omnibus test for gene by environment (GxE) interactions between additively-coded ε4 and the CVDs as a group, followed by GxE analysis of individual CVDs. Additive-scale interactions were measured using the Relative Excess Risk due to Interaction (RERI) statistic. ADRD was derived from International Classification of Diseases (ICD) codes using our validated algorithm. We used validated algorithms for MI and PAD identified in the VA's Centralized Interactive Phenomics Resource (CIPHER). CAD, hypertension, and hyperlipidemia cases were identified using Phecodes.
Result:
CVDs showed both strong main-effect associations with ADRD (ORs 1.55 to 1.82, all p < 1099; see Table). Both the omnibus test (p = 5x10-12) and the individual CVD interaction terms were significant (p from 7x10-8 to 0.025). RERI estimates indicated significant positive additive-scale interactions (see example figure illustrating additive hypertension x ε4 interaction).
Conclusion:
These additive-scale interactions are more directly interpretable than multiplicative-scale interactions. They indicate that the prevalence of ADRD associated with cardiovascular disease increases with the number of inherited APOE-ε4 alleles (e.g. from 3.3% greater ADRD frequency associated with hypertension at age 80 for those with 0 ε4 copies to 5.6% for those with 2 copies; see Figure). Combining genetic testing with information about health comorbidities could contribute to more accurate dementia risk assessment within the Veteran population, and likely within other populations as well.
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