# White matter microstructure in mid- to late adulthood is influenced by pathway-stratified polygenic risk for Alzheimer’s disease

**Authors:** Judith R. Harrison, Sonya F. Foley, Emily Simmonds, Matthew Bracher-Smith, Peter Holmans, Evie Stergiakouli, Xavier Caseras, Valentina Escott-Price, Derek K. Jones

PMC · DOI: 10.3389/fnins.2025.1638503 · Frontiers in Neuroscience · 2025-10-28

## TL;DR

This study finds that genetic risk for Alzheimer's disease affects white matter structure in older adults, but not in younger ones, suggesting age-related genetic effects.

## Contribution

The study introduces pathway-specific polygenic risk scores for Alzheimer’s disease and links them to white matter microstructure changes in mid- to late adulthood.

## Key findings

- Higher PRS for protein–lipid complex assembly and tau binding are linked to lower FA and higher MD in cingulum tracts in UK Biobank.
- Genome-wide PRS showed weaker associations compared to pathway-specific PRS.
- Genetic effects on white matter microstructure emerge in mid- to late adulthood but not in early adulthood.

## Abstract

Alzheimer’s disease involves progressive white matter microstructural degeneration that may precede clinical symptoms by decades. While polygenic risk scores (PRS) quantify cumulative genetic liability for AD, genome-wide PRS lack mechanistic specificity. We tested whether pathway-specific PRS, targeting areas of biology including tau binding, lipid metabolism, and immune response, are differentially associated with diffusion MRI measures across the lifespan.

We analyzed two population-based cohorts: the Avon Longitudinal Study of Parents and Children (ALSPAC; mean age = 19.8 years, n = 517) and UK Biobank (mean age = 64.2 years, n = 18,172). Genome-wide and nine pathway-specific PRS for Alzheimer’s disease were constructed using GWAS summary statistics and a clumping threshold of r2 < 0.2 at p < 0.001. Diffusion MRI data were processed separately within each cohort: in ALSPAC, tract-based fractional anisotropy (FA) and mean diffusivity (MD) were extracted using probabilistic tractography from native-space regions of interest; in UK Biobank, diffusion metrics were derived from TBSS-aligned skeletons and standard atlas-based ROIs. Analyses focused on three tracts vulnerable to early AD pathology: the dorsal cingulum, parahippocampal cingulum, and fornix. Multiple linear regression models were used to assess PRS associations with FA and MD, adjusting for demographic, scanner, and genetic ancestry covariates. False discovery rate correction addressed multiple comparisons, and sensitivity analyses were performed excluding the APOE region.

In UK Biobank, higher PRS for protein–lipid complex assembly and tau protein binding were robustly associated with lower fractional anisotropy and higher mean diffusivity in both dorsal and parahippocampal cingulum segments (False discovery rate-corrected p < 0.05), explaining more variance than APOE alone; no significant effects emerged in the fornix. Genome-wide PRS showed weaker, non-significant associations. In ALSPAC, no PRS metric survived FDR correction, though nominal trends appeared in the dorsal cingulum. Sensitivity analyses confirmed that key cingulum associations in older adults persisted after omitting APOE.

Pathway-specific polygenic risk for Alzheimer’s disease manifests in white matter microstructure by mid- to late adulthood but not in early adulthood, suggesting an age-dependent emergence of genetic effects. dMRI phenotypes may thus serve as intermediate biomarkers for dissecting mechanistic pathways of preclinical Alzheimer’s disease vulnerability.

## Linked entities

- **Proteins:** MAPT (microtubule associated protein tau)
- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Genes:** MAPT (microtubule associated protein tau) [NCBI Gene 4137] {aka DDPAC, FTD1, FTDP-17, MAPTL, MSTD, MTBT1}, APOE (apolipoprotein E) [NCBI Gene 348] {aka AD2, APO-E, ApoE4, LDLCQ5, LPG}
- **Diseases:** AD (MESH:D000544)
- **Chemicals:** lipid (MESH:D008055)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12602405/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12602405/full.md

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Source: https://tomesphere.com/paper/PMC12602405