Association of APOE/TOMM40 Haplotypes and Limbic System White Matter Microstructure in Black and White Individuals

Abstract Background APOE is in linkage disequilibrium with the length of poly‐T repeats at the rs10524523 (‘523) locus of the TOMM40 gene. APOE‐ε3 is associated with short (S) and (VL) variants of ‘523 in white and Black individuals. In white individuals, APOE‐ε4 is associated with the long (L) ‘523 variant, but is associated with ‘523‐S, ‘523‐L, and ‘523‐VL variants in Black individuals. Black ε3‐’523‐S carriers have faster rates of cognitive decline while Black ε4‐’523‐S carriers have slower rates of cognitive decline. Little is known about the association of these haplotypes with white matter integrity. This study aims to determine the association between APOE/TOMM40 haplotypes and white matter microstructure (WMM) in tracts important for cognition and risk of AD. Methods Data comes from participants without cognitive impairment from the Rush Memory and Aging Project and the Minority Aging Research Study who self‐identified as non‐Hispanic white (N=500) and non‐Hispanic Black (N=144). WMM was measured using diffusion MRI (dMRI). dMRI was preprocessed using PreQual and microstructural metrics were calculated in DTIFIT and MATLAB. Data was harmonized using Longitudinal ComBat. We assessed free‐water (FW; higher values are abnormal) and FW‐corrected fractional anisotropy (FA FW‐corr ; lower values are abnormal) in five limbic tracts that are associated with AD: the inferior longitudinal fasciculus, cingulum, fornix, inferior temporal gyrus, and uncinate fasciculus. The effect of 0, 1, or 2 copies of ‘523‐S on FW and FA FW‐corr was assessed using linear regression models, controlling for age, sex/gender, and education. Results White ε3/ε3 participants with two copies of ‘523‐S had lower FA FW‐corr in the cingulum (β=−0.006, SE=0.003, P=0.031) and inferior temporal gyrus (β=−0.007, SE=0.003, P=0.042) (Table). Black ε4+ participants with one‐‘523‐S had lower FW in cingulum (β=−0.024, SE=0.01, P=0.020) and inferior longitudinal fasciculus (β=−0.0304, SE=0.013, P=0.026) (Table). Conclusions This is the first study examining APOE/‘523 variation on WMM in Black participants, and the first to examine this association using FW‐corrected metrics. These results support prior findings that ‘523‐S copy‐number is deleterious in White‐ε3/ε3 participants, but protective in Black‐ε4+ participants. These findings suggest a differential effect by racialized background of APOE on brain microstructural integrity in older adults.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091065
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of APOE/TOMM40 Haplotypes and Limbic System White Matter Microstructure in Black and White Individuals

Timothy J. Hohman, Lisa L. Barnes, Derek B. Archer, Kacie Deters et al.
Alzheimer s & Dementia
Advanced Neuroimaging Techniques and Applications
article

Association of APOE/TOMM40 Haplotypes and Limbic System White Matter Microstructure in Black and White Individuals

Timothy J. Hohman, Lisa L. Barnes, Derek B. Archer, Kacie Deters, Aditi Sathe, Katelyn Elizabeth Mooney, Ose Kadiri
article en

Abstract

Abstract Background APOE is in linkage disequilibrium with the length of poly‐T repeats at the rs10524523 (‘523) locus of the TOMM40 gene. APOE‐ε3 is associated with short (S) and (VL) variants of ‘523 in white and Black individuals. In white individuals, APOE‐ε4 is associated with the long (L) ‘523 variant, but is associated with ‘523‐S, ‘523‐L, and ‘523‐VL variants in Black individuals. Black ε3‐’523‐S carriers have faster rates of cognitive decline while Black ε4‐’523‐S carriers have slower rates of cognitive decline. Little is known about the association of these haplotypes with white matter integrity. This study aims to determine the association between APOE/TOMM40 haplotypes and white matter microstructure (WMM) in tracts important for cognition and risk of AD. Methods Data comes from participants without cognitive impairment from the Rush Memory and Aging Project and the Minority Aging Research Study who self‐identified as non‐Hispanic white (N=500) and non‐Hispanic Black (N=144). WMM was measured using diffusion MRI (dMRI). dMRI was preprocessed using PreQual and microstructural metrics were calculated in DTIFIT and MATLAB. Data was harmonized using Longitudinal ComBat. We assessed free‐water (FW; higher values are abnormal) and FW‐corrected fractional anisotropy (FA FW‐corr ; lower values are abnormal) in five limbic tracts that are associated with AD: the inferior longitudinal fasciculus, cingulum, fornix, inferior temporal gyrus, and uncinate fasciculus. The effect of 0, 1, or 2 copies of ‘523‐S on FW and FA FW‐corr was assessed using linear regression models, controlling for age, sex/gender, and education. Results White ε3/ε3 participants with two copies of ‘523‐S had lower FA FW‐corr in the cingulum (β=−0.006, SE=0.003, P=0.031) and inferior temporal gyrus (β=−0.007, SE=0.003, P=0.042) (Table). Black ε4+ participants with one‐‘523‐S had lower FW in cingulum (β=−0.024, SE=0.01, P=0.020) and inferior longitudinal fasciculus (β=−0.0304, SE=0.013, P=0.026) (Table). Conclusions This is the first study examining APOE/‘523 variation on WMM in Black participants, and the first to examine this association using FW‐corrected metrics. These results support prior findings that ‘523‐S copy‐number is deleterious in White‐ε3/ε3 participants, but protective in Black‐ε4+ participants. These findings suggest a differential effect by racialized background of APOE on brain microstructural integrity in older adults.

Alzheimer s & DementiaVol. 20(S2)
Rush University Medical Center (US), University of California, Los Angeles (US), Vanderbilt University Medical Center (US)
Quality Education
Openalex Percentile: Top 58%
Advanced Neuroimaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.