Skip to main content

Advertisement

Log in

Estimating the X chromosome-mediated risk for developing Alzheimer’s disease

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

Parental lineage has been shown to increase the risk of Alzheimer’s disease (AD) in the offspring, with greater risk attributed to maternal lineage. While 40 genes/loci have been linked to the risk of developing AD, none has been found on the X chromosome. We propose a new method to estimate the risk for developing AD mediated by the X chromosome in a subgroup of late-onset AD (LOAD) patients with amnestic mild cognitive impairment (aMCI) or early AD and unilateral ancestral history of AD or dementia, and pilot-test it on our clinic data. Records of patients aged 55–80 years presenting to our Memory Disorders Clinic with aMCI or early AD between May 2015 and September 2020, were reviewed, counting patients with a family history of AD or dementia and unilateral ancestral lineage. The X chromosome-attributable relative risk was estimated by calculating the following odds ratio (OR): (women with paternal lineage:women with maternal lineage)/(men with paternal lineage:men with maternal lineage). The proportion of genetic risk borne by the X chromosome is equal to (OR-1)/OR. 40 women aged 66.1 ± 5.1 years (mean ± standard deviation) and 31 men aged 68.1 ± 6.5 were identified. The OR was (18:22)/(6:25) = 3.4 (95% confidence interval 1.1–10.1; p = 0.027). The estimated proportion of genetic risk borne by the X chromosome in this population is 70% (95% CI 12–90%). This paper presents the first application of a new method. The numbers are small, the confidence intervals wide. The findings need to be replicated. The method may be generalizable to other diseases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Availability of data and materials

Anonymized data can be made available to qualified investigators upon submission of a research protocol and receipt of Shamir (Assaf Harofeh) Medical Center IRB approval.

Code availability

Not applicable.

References

  1. Seeley WW, Crawford RK, Zhou J et al (2009) Neurodegenerative diseases target large-scale human brain networks. Neuron 62:42–52

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Armon C, Traynor BJ (2019) High BMI is associated with low ALS risk. What does it mean? Neurology 93:189–191

    Article  PubMed  Google Scholar 

  3. Roberts RO, Geda YE, Knopman DS et al (2012) The incidence of MCI differs by subtype and is higher in men. The mayo clinic study of aging. Neurology 78:342–351

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Mielke MM, Vemuri P, Rocca WA (2014) Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clin Epidemiol 6:37–48

    Article  PubMed  PubMed Central  Google Scholar 

  5. Larsson SC, Traylor M, Malik R et al (2017) Modifiable pathways in Alzheimer’s disease: mendelian randomization analysis. BMJ 359:j5375

    Article  PubMed  PubMed Central  Google Scholar 

  6. Snowdon DA, Kemper SJ, Mortimer JA et al (1996) Linguistic ability in early life and cognitive function and Alzheimer’s disease in late life. Findings from the Nun Study. JAMA 275:528–532

    Article  CAS  PubMed  Google Scholar 

  7. Miller ZA, Mandelli ML, Rankin KP et al (2013) Handedness and language learning disability differentially distribute in progressive aphasia variants. Brain 136:3461–3473

    Article  PubMed  PubMed Central  Google Scholar 

  8. Miller ZA, Spina S, Pakvasa M et al (2019) Cortical developmental abnormalities in logopenic variant primary progressive aphasia with dyslexia. Brain Commun 1(1):fcz027

    Article  PubMed  PubMed Central  Google Scholar 

  9. Strydom A, Chan T, King M et al (2013) Incidence of dementia in older adults with intellectual disabilities. Res Dev Disabil 34:1881–1885

    Article  PubMed  Google Scholar 

  10. Dodd K, Coles S, Finnamore T et al. (2015) Dementia and people with intellectual disabilities: guidance on the assessment, diagnosis, interventions and support of people with intellectual disabilities who develop dementia. Br Psychol Soc

  11. Printzlau F, Wolstencroft J, Skuse DH (2017) Cognitive, behavioral, and neural consequences of sex chromosome aneuploidy. J Neurosci Res 95:311–319

    Article  CAS  PubMed  Google Scholar 

  12. Wu H, Luo J, Yu H et al (2014) Cellular resolution maps of X chromosome inactivation: implications for neural development, function, and disease. Neuron 81:103–119

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Edland SD, Silverman JM, Peskind ER et al (1996) Increased risk of dementia in mothers of Alzheimer’s disease cases: evidence for maternal inheritance. Neurology 47:254–256

    Article  CAS  PubMed  Google Scholar 

  14. Honea RA, Swerdlow RH, Vidoni ED, Burns JM (2011) Progressive regional atrophy in normal adults with a maternal history of Alzheimer disease. Neurology 76:822–829

    Article  PubMed  PubMed Central  Google Scholar 

  15. Honea RA, Vidoni ED, Swerdlow RH, Burns JM, and for the Alzheimer’s Disease Neuroimaging Initiative (2012) Maternal family history is associated with Alzheimer’s disease biomarkers. J Alzheimers Dis 31:659–668

    Article  Google Scholar 

  16. Cuyvers E, Sleegers K (2016) Genetic variations underlying Alzheimer’s disease: evidence from genome-wide association studies and beyond. Lancet Neurol 15:857–868

    Article  CAS  PubMed  Google Scholar 

  17. Jansen IE, Savage JE, Watanabe K et al (2019) Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nat Genet 51:404–413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Elsheikh SSM, Chimusa ER, Mulder NJ, Alessandro Crimi A (2020) Genome-wide association study of brain connectivity changes for Alzheimer’s disease. Sci Rep 10:1433

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Accounting for sex in the genome (2017) Nat Med 23:1243. https://doi.org/10.1038/nm.4445

    Article  CAS  Google Scholar 

  20. Carrasquillo MM, Zou F, Pankratz VS et al (2009) Genetic variation in PCDH11X is associated with susceptibility to late onset Alzheimer’s disease. Nat Genet 41:192–198

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Napolioni V, Khan RR, Greicius MD (2017) Chromosome X-wide association study identifies a new locus for late-onset Alzheimer’s disease on XQ25. Alzheimers Dement 13:P192–P193

    Article  Google Scholar 

  22. Christopher L, Tam G, Napolioni V et al (2018) X Chromosome gene MTM1 is implicated in brain beta-amyloid accumulation. Alzheimers Dement 14:P327-327

    Google Scholar 

  23. Gómez-Ramos A, Podlesniy P, Soriano E, Avila J (2016) Distinct X-chromosome SNVs from some sporadic AD samples. Sci Rep 5:18012

    Article  Google Scholar 

  24. Bellenguez C, Grenier-Boley B, Lambert J-C (2020) Genetics of Alzheimer’s disease: where we are, and where we are going. Curr Opin Neurobiol 61:40–48

    Article  CAS  PubMed  Google Scholar 

  25. Bajic VP, Essack M, Zivkovic L et al (2020) The X files: “The Mystery of X Chromosome Instability in Alzheimer’s Disease.” Front Genet. https://doi.org/10.3389/fgene.2019.01368

    Article  PubMed  PubMed Central  Google Scholar 

  26. McKhann GM, Knopman DS, Chertkow H et al (2011) The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:263–269

    Article  PubMed  PubMed Central  Google Scholar 

  27. Albert MS, DeKosky ST, Dickson D et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:270–279

    Article  PubMed  PubMed Central  Google Scholar 

  28. Davis EJ, Broestl L, Abdulai-Saiku S et al (2020) A second X chromosome contributes to resilience in a mouse model of Alzheimer’s disease. Sci Transl Med 12(558):eaaz5677

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Cannon-Albright LA, Foster NL, Schliep K et al (2019) Relative risk for Alzheimer disease based on complete family history. Neurology 92:e1745–e1753

    Article  PubMed  PubMed Central  Google Scholar 

  30. Seshadri S, Wolf PA, Beiser A et al (1997) Lifetime risk of dementia and Alzheimer’s disease. The impact of mortality on risk estimates in the Framingham study. Neurology 49:1498–1504

    Article  CAS  PubMed  Google Scholar 

  31. Power MC (2020) Growing evidence links air pollution exposure to risk of Alzheimer’s disease and related dementia. Brain 143:8–10

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

An abstract describing this work has been presented at the virtual conference of the European Society of Human Genetics (August 28th 2021) and at the American Neurological Association’s 2021 Virtual Annual Meeting (October 16–18th 2021).

Funding

No funding was received for the performance of this study.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the manuscript through one or more of the following: study conceptualization and design; data acquisition; data analysis; editorial review of manuscript. All authors approve the version to be published.

Corresponding author

Correspondence to Carmel Armon.

Ethics declarations

Conflicts of interest

The authors have no potential conflict of interest with regards to this paper.

Ethics approval

The study was approved by the Shamir (Assaf Harofeh) Medical Center Institutional Review Board.

Consent to participate

This retrospective study, based on review of existing medical records, was granted a waiver of consent by the Shamir (Assaf Harofeh) Medical Center IRB.

Consent for publication

Not applicable.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Armon, C., Wolfson, S., Margalit, R. et al. Estimating the X chromosome-mediated risk for developing Alzheimer’s disease. J Neurol 269, 2479–2485 (2022). https://doi.org/10.1007/s00415-021-10826-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-021-10826-w

Keywords

Navigation