Multi‐ancestry genome‐wide gene × age interaction study identifies novel loci associated with late‐onset Alzheimer’s Disease
Authors: Tong Tong , Zhu Congcong , Farrell John J. , Martin Eden R. , Pericak‐Vance Margaret A , Wang Li‐San , Schellenberg Gerard D. , Bush William S. , Haines Jonathan L. , Lunetta Kathryn L. , Zhang Xiaoling , Farrer Lindsay A. 
Published: January 2025

AbstractBackgroundAge is the largest risk factor for late‐onset Alzheimer’s Disease (LOAD). Although >80 genetic loci have been associated with LOAD, little is known about the age dependencies of these associations except the APOE region.MethodWe performed cross‐ancestry and ancestry‐specific genome‐wide gene‐age interaction and age‐stratified association study using TOPMed‐imputed genome‐wide association study (GWAS) data from Alzheimer’s Disease Genetics Consortium (ADGC) including 34,833 non‐Hispanic Whites (NHW), 7,264 African Americans (AA), 3,232 East Asians (EA), and 2,024 Caribbean Hispanics (CH) aged 60 years and older. We chose an approximate median age‐at‐onset threshold of 75 to dichotomize participants into younger (Ncase:Ncontrol = 10, 905:11,624) and older (Ncase:Ncontrol = 9,982:14,842) groups. We first evaluated the association of LOAD with the interaction of SNP × age within each cohort using a linear mixed‐effect model including a binary term for the age group, numeric age, sex, and the first 5 principal components (PCs) of ancestry. Results from each cohort were combined using a fixed‐effect model to jointly estimate the regression coefficients of SNP and SNP × age terms, both within‐ancestry and cross‐ancestry analyses. We also performed an age‐stratified analysis that included all controls regardless of age to increase power and using the same linear model without the interaction term. Results across cohorts were combined by meta‐analysis using a fixed‐effect model within‐ancestry and a modified random‐effect model across ancestry.ResultIn cross‐ancestry joint meta‐analysis, we identified 6 genome‐wide significant (GWS) loci, 4 of which showed nominal evidence of age‐dependent association with LOAD, including CD2AP (rs5876027, PJoint = 2.33 × 10‐8, PSNP×age = 0.043), PICALM (rs583162, PJoint = 2.34 × 10‐8, PSNP×age = 7.60 × 10‐3), APOE (rs429358, PJoint = 0, PSNP×age = 1.58 × 10‐7) and LILRA5 (rs1761461, PJoint = 4.86 × 10‐8, PSNP×age = 0.032), for the first time. Within‐ancestry joint meta‐analysis identified novel associations with VXN (rs146432976, PJoint = 2.29 × 10‐8, PSNP×age = 3.08 × 10‐5) in AAs and PALM2‐AKAP2 (rs67191673, PJoint = 3.46 × 10‐9, PSNP×age = 0.013) in EAs. CR1 (rs6661489, PJoint = 3.54 × 10‐8) and TREM2 (rs75932628, PJoint = 8.61 × 10‐10) were associated with LOAD in NHWs but showed no evidence of age‐dependent effects. In cross‐ancestry age‐stratified GWAS, BIN1, PICALM, and APOE region genes reached GWS in both strata, while MS4A6A was only significant in older group (rs7232, OR = 0.88, P = 4.23 × 10‐8). A GWS association with PALM2‐AKAP2 (rs67191673, OR = 1.94, P = 3.64 × 10‐9) was identified in the EA younger group.ConclusionWe identified several ancestry‐specific age‐dependent association with previously established and novel loci.