Causal effect of household income on Alzheimer's disease risk and mediation by cognitive performance: a bidirectional, two‑sample, two‑stage mendelian randomization study

Xingke Zhu , Qing Lv

Genome Instability & Disease ›› 2026, Vol. 7 ›› Issue (3) : 18

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Genome Instability & Disease ›› 2026, Vol. 7 ›› Issue (3) :18 DOI: 10.1007/s42764-026-00188-w
Original Research Paper
research-article
Causal effect of household income on Alzheimer's disease risk and mediation by cognitive performance: a bidirectional, two‑sample, two‑stage mendelian randomization study
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Abstract

Background

Alzheimer’s disease (AD) imposes a substantial public health burden, and socioeconomic status, particularly household income, has been implicated as a key determinant of disease risk. However, the causal nature of this relationship and the mediating mechanisms remain incompletely characterized.

Methods

A bidirectional, two‑sample, two‑stage Mendelian randomization (MR) study was conducted using summary-level data from large-scale genome-wide association studies. Genetic instruments for household income (n = 397,751), cognitive performance (n = 257,841), and AD (21,982 cases and 41,944 controls) were extracted. Inverse variance weighted (IVW), MR‑Egger, weighted median, and MR‑PRESSO methods were applied. Mediation analysis was employed to decompose the total effect into direct and indirect (via cognitive performance) components. Robustness was assessed through sensitivity analyses and reverse-direction MR.

Results

Genetically predicted higher household income was associated with a protective effect on AD risk (IVW OR = 0.79, 95% CI: 0.68–0.92). Cognitive performance mediated 65.7% of this total effect. No reverse causal effect of AD on household income was observed. Sensitivity analyses confirmed the robustness of these findings.

Conclusions

Household income exerts a protective causal effect on AD, which is predominantly mediated by cognitive performance. These results elucidate a key mechanistic pathway linking socioeconomic factors to neurodegenerative disease and highlight cognitive function as a potential interventional target, supporting the integration of socioeconomic considerations into AD prevention strategies.

Keywords

Alzheimer's disease / Household income / Mendelian randomization / Cognitive performance / Mediation analysis

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Xingke Zhu, Qing Lv. Causal effect of household income on Alzheimer's disease risk and mediation by cognitive performance: a bidirectional, two‑sample, two‑stage mendelian randomization study. Genome Instability & Disease, 2026, 7 (3) : 18 DOI:10.1007/s42764-026-00188-w

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References

[1]

Akushevich I, Yashkin A, Kravchenko J. Effects of Medicare predictors in health disparities in the risk of Alzheimer's disease. Alzheimer's & Dementia (New York, n.y.), 2025, 11(2 e70078

[2]

Armentaro G, Scarcelli MR, Severini G, et al.. Association of vericiguat with improvement in functional abilities and comprehensive geriatric assessment in elderly patients with worsening heart failure. Pharmaceuticals (Basel), 2026, 19(3 466

[3]

Avila-Rieger J, Turney IC, Vonk JMJ, et al.. Socioeconomic status, biological aging, and memory in a diverse national sample of older US men and women. Neurology, 2022, 99(19e2114-e2124

[4]

Burgess S, Small DS, Thompson SG. A review of instrumental variable estimators for Mendelian randomization. Statistical Methods in Medical Research, 2017, 26(5): 2333-2355

[5]

Cabral-Miranda F, Araujo APB, Medinas DB, Gomes FCA. Astrocytic Hevin/SPARCL-1 regulates cognitive decline in pathological and normal brain aging. Aging Cell, 2025, 24(5 e14493

[6]

Chen LG, Tubbs JD, Liu Z, Thach TQ, Sham PC. Mendelian randomization: causal inference leveraging genetic data. Psychological Medicine, 2024, 54(8): 1461-1474

[7]

Diukov Y, Bachinskaya N, Dzobak A, et al.. Association of telomere length with cognitive impairment. Journal of Molecular Neuroscience, 2023, 73(6): 448-455

[8]

Fiorito G, Polidoro S, Dugué PA, et al.. Social adversity and epigenetic aging: a multi-cohort study on socioeconomic differences in peripheral blood DNA methylation. Scientific Reports, 2017, 7(1 16266

[9]

Frank M, Hensel J, Baak L, et al.. Interaction of Alzheimer's disease-associated genetic risk with indicators of socioeconomic position on mild cognitive impairment in the Heinz Nixdorf Recall Study. Journal of Alzheimer's Disease, 2021, 82(4): 1715-1725

[10]

Hao Y, Tian W, Xie B, Fu X, Wang S, Yang Y. The causal relationship between genetically predicted biological aging, Alzheimer's disease and cognitive function: A Mendelian randomisation study. Journal of Prevention of Alzheimer's Disease, 2024, 11(6): 1826-1833

[11]

Hao X, Cao F, Xu Z, et al.. Causal relationship and mediating role between depression and cognitive performance. The Journal of Prevention of Alzheimer's Disease, 2025, 12(8 100196

[12]

Jung JH, Kong N, Lee SA4 and LEARN Study Teams. Pulse pressure as a predictor of Alzheimer's disease biomarkers and cognitive decline: the moderating role of APOE ε4. Journal of Prevention of Alzheimer's Disease, 2025, 12(10 100363

[13]

Kjaergaard AD, Marouli E, Papadopoulou A, et al.. Thyroid function, sex hormones and sexual function: a mendelian randomization study. European Journal of Epidemiology, 2021, 36(3): 335-344

[14]

Li R, Li R, Xie J, et al.. Associations of socioeconomic status and healthy lifestyle with incident early-onset and late-onset dementia: A prospective cohort study. The Lancet Healthy Longevity, 2023, 4(12): e693-e702

[15]

Livingston G, Huntley J, Liu KY, et al.. Dementia prevention, intervention, and care: 2024 report of the Lancet standing commission. Lancet, 2024, 404(10452): 572-628

[16]

Lukas E, van de Weijer M, Bergstedt J, Bezzina CR, Treur JL. Causal inference in the field of arrhythmia: an introduction to mendelian randomization. Heart Rhythm, 2025, 22(1): 203-216

[17]

Nong W, Mo G, Luo C. Exploring the bidirectional causal link between household income status and genetic susceptibility to neurological diseases: Findings from a Mendelian randomization study. Frontiers in Public Health, 2023, 11 1202747

[18]

Oliveira BS, Zunzunegui MV, Quinlan J, Fahmi H, Tu MT, Guerra RO. Systematic review of the association between chronic social stress and telomere length: A life course perspective. Ageing Research Reviews, 2016, 26: 37-52

[19]

Palmer TM, Lawlor DA, Harbord RM, et al.. Using multiple genetic variants as instrumental variables for modifiable risk factors. Statistical Methods in Medical Research, 2012, 21(3): 223-242

[20]

Sanderson E. Multivariable mendelian randomization and mediation. Cold Spring Harbor Perspectives in Medicine, 2021, 11(2 a038984

[21]

Shanbhag NM, Evans MD, Mao W, et al.. Early neuronal accumulation of DNA double strand breaks in Alzheimer's disease. Acta Neuropathologica Communications, 2019, 7(1): 77

[22]

Stansfeld SA, Head J, Fuhrer R, Wardle J, Cattell V. Social inequalities in depressive symptoms and physical functioning in the Whitehall II study: Exploring a common cause explanation. Journal of Epidemiology and Community Health, 2003, 57(5): 361-367

[23]

Tang C, Ding Y, Yang J, He D. Cerebrovascular disease in Alzheimer's disease: brain structure as a critical mediator of cognitive decline. Journal of Prevention of Alzheimer's Disease, 2025, 12(8 100209

[24]

Tinney EM, Warren AEL, O'Brien A, et al.. White matter microstructure mediates the association between cardiorespiratory fitness and cognitive performance in older adults. Alzheimer's & Dementia: Translational Research & Clinical Interventions, 2025, 11(3 e70125

[25]

Wang RZ, Yang YX, Li HQ, et al.. Genetically determined low income modifies Alzheimer's disease risk. Annals of Translational Medicine, 2021, 9(15): 1222

[26]

Wang L, Xu H, Simons RL, et al.. Associations of longitudinal changes in blood biomarkers of dementia with the proportion of genetically inferred African ancestry. Neurology, 2025, 105(5 e213976

[27]

Waqas M, Iqbal S, Stewart-Knox BJ. Food expenditure, income, and mental health: Outcomes from the UK Household Longitudinal Survey. PLoS ONE, 2024, 19(9 e0308987

[28]

Wei YC, Huang WY, Lin C, et al.. Mediation pathways and complementary roles of DTI-ALPS and free water fraction in glymphatic impairment and cognitive decline. Journal of Alzheimer's Disease, 2026

[29]

Xiao G, He Q, Liu L, et al.. Causality of genetically determined metabolites on anxiety disorders: a two-sample Mendelian randomization study. Journal of Translational Medicine, 2022, 20(1 475

[30]

Zhang M, Guo X, Chen Y, Liu X, Lin X. Association between insecticide exposomics and cognitive function in older adults: An observational study based on NHANES 2011–2014. Frontiers in Public Health, 2025, 13 1556263

[31]

Zhang LY, Liu YX, Chu YH, et al.. Identification of novel therapeutic targets for cognitive performance and associations with brain health. Translational Psychiatry, 2025, 15(1): 214

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Shenzhen University School of Medicine; Fondazione Istituto FIRC di Oncologia Molecolare

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