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Risk of dementia in APOE ε4 carriers is mitigated by a polygenic risk score

Ebenau, Jarith L., van der Lee, Sven J., Hulsman, Marc, Tesi, Niccolò, Jansen, Iris E., Verberk, Inge M.W., van Leeuwenstijn, Mardou, Teunissen, Charlotte E. +6 more·2021·Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Abstract

Introduction: We investigated relationships among genetic determinants of Alzheimer's disease (AD), amyloid/tau/neurodegenaration (ATN) biomarkers, and risk of dementia. Methods: We studied cognitively normal individuals with subjective cognitive decline (SCD) from the Amsterdam Dementia Cohort and SCIENCe project. We examined associations between genetic variants and ATN biomarkers, and evaluated their predictive value for incident dementia. A polygenic risk score (PRS) was calculated based on 39 genetic variants. The APOE gene was not included in the PRS and was analyzed separately. Results: The PRS and APOE ε4 were associated with amyloid‐positive ATN profiles, and APOE ε4 additionally with isolated increased tau (A–T+N–). A high PRS and APOE ε4 separately predicted AD dementia. Combined, a high PRS increased while a low PRS attenuated the risk associated with ε4 carriers. Discussion: Genetic variants beyond APOE are clinically relevant and contribute to the pathophysiology of AD. In the future, a PRS might be used in individualized risk profiling.

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  • Individuals with subjective cognitive decline and APOEε4 carriers were more likely to advance to Alzheimer disease dementia if they had a high polygenic risk score (calculated without APOE), whereas a low polygenic risk score attenuated the APOEε4 effect size.

    “Similarly, individuals with subjective cognitive decline and APOEε4 carriers were more likely to advance to AD dementia if they had a high PRS (calculated without APOE), whereas a low PRS attenuated the APOEε4 effect size22.”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [22]

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  1. [2]Jack CR, Bennett DA, Blennow K, et al. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. 2016; 87: 539‐ 547. 27371494 PMC4970664
  2. [3]Jansen WJ, Ossenkoppele R, Knol DL, et al. Prevalence of cerebral amyloid pathology in persons without dementia: a meta‐analysis. JAMA. 2015; 313: 1924‐ 1938. 25988462 PMC4486209
  3. [4]Ebenau JL, Timmers T, Wesselman LMP, et al. ATN classification and clinical progression in subjective cognitive decline: the SCIENCe project. Neurology. 2020; 95: e46‐ e58. 32522798 PMC7371376
  4. [5]Jack CR Jr, Wiste HJ, Therneau TM, et al. Associations of amyloid, tau, and neurodegeneration biomarker profiles with rates of memory decline among individuals without dementia amyloid, tau, and neurodegeneration biomarker profiles and memory decline in individuals without dementia amyloid, tau, and neurodegeneration biomarker profiles and memory decline in individuals without dementia. JAMA. 2019; 321: 2316‐ 2325. 31211344 PMC6582267
  5. [6]Soldan A, Pettigrew C, Fagan AM, et al. ATN profiles among cognitively normal individuals and longitudinal cognitive outcomes. Neurology. 2019; 92: e1567‐ e79. 30842300 PMC6448449
  6. [7]Ali JI, Smart CM, Gawryluk JR. Subjective cognitive decline and APOE ɛ4: a systematic review. J Alzheimers Dis. 2018; 65: 303‐ 320. 30040718
  7. [8]Kunkle BW, Grenier‐Boley B, Sims R, et al. Genetic meta‐analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet. 2019; 51: 414‐ 430. 30820047 PMC6463297
  8. [10]de Rojas I, Moreno‐Grau S, Tesí N, et al. Common variants in Alzheimer's disease and risk stratification by polygenic risk score. Nat Commun. 2021; 12: 3417. 34099642 PMC8184987
  9. [11]Chouraki V, Reitz C, Maury F, et al. Evaluation of a genetic risk score to improve risk prediction for Alzheimer's disease. J Alzheimers Dis. 2016; 53: 921‐ 932. 27340842 PMC5036102
  10. [12]van der Lee SJ, Wolters FJ, Ikram MK, et al. The effect of APOE and other common genetic variants on the onset of Alzheimer's disease and dementia: a community‐based cohort study. Lancet Neurol. 2018; 17: 434‐ 444. 29555425
  11. [13]Tan CH, Hyman BT, Tan JJX, et al. Polygenic hazard scores in preclinical Alzheimer disease. Ann Neurol. 2017; 82: 484‐ 488. 28940650 PMC5758043
  12. [14]Sleegers K, Bettens K, De Roeck A, et al. A 22‐single nucleotide polymorphism Alzheimer's disease risk score correlates with family history, onset age, and cerebrospinal fluid Aβ42. Alzheimers Dement. 2015; 11: 1452‐ 1460. 26086184
  13. [15]Tan CH, Fan CC, Mormino EC, et al. Polygenic hazard score: an enrichment marker for Alzheimer's associated amyloid and tau deposition. Acta Neuropathol. 2018; 135: 85‐ 93. 29177679 PMC5758038
  14. [16]Darst BF, Koscik RL, Racine AM, et al. Pathway‐specific polygenic risk scores as predictors of amyloid‐β deposition and cognitive function in a sample at increased risk for Alzheimer's disease. J Alzheimers Dis. 2017; 55: 473‐ 484. 27662287 PMC5123972
  15. [17]Skoog I, Kern S, Najar J, et al. A non‐APOE polygenic risk score for Alzheimer's disease is associated with cerebrospinal fluid neurofilament light in a representative sample of cognitively unimpaired 70‐year olds. J Gerontol A Biol Sci Med Sci. 2021; 76: 983‐ 990. 33512503 PMC8140047
  16. [18]Porter T, Burnham SC, Milicic L, et al. Utility of an Alzheimer's disease risk‐weighted polygenic risk score for predicting rates of cognitive decline in preclinical Alzheimer's disease: a prospective longitudinal study. J Alzheimers Dis. 2018; 66: 1193‐ 1211. 30412495
  17. [19]Mormino EC, Sperling RA, Holmes AJ, et al. Polygenic risk of Alzheimer disease is associated with early‐ and late‐life processes. Neurology. 2016; 87: 481‐ 488. 27385740 PMC4970660
  18. [20]van der Flier WM, Scheltens P. Amsterdam dementia cohort: performing research to optimize care. J Alzheimers Dis. 2018; 62: 1091‐ 1111. 29562540 PMC5870023
  19. [21]van der Flier WM, Pijnenburg YA, Prins N, et al. Optimizing patient care and research: the Amsterdam Dementia Cohort. J Alzheimers Dis. 2014; 41: 313‐ 327. 24614907
  20. [22]Verhage F, Van Der Werff JJ. An analysis of variance based on the groninger intelligence test scores. Ned Tijdschr Psychol. 1964; 19: 497‐ 509. 14228907
  21. [23]McKhann GM, Knopman DS, Chertkow H, et al. 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. 2011; 7: 263‐ 269. 21514250 PMC3312024
  22. [24]Rascovsky K, Hodges JR, Knopman D, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011; 134: 2456‐ 2477. 21810890 PMC3170532
  23. [25]Gorno‐Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011; 76: 1006‐ 1014. 21325651 PMC3059138
  24. [27]McKeith IG, Boeve BF, Dickson DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017; 89: 88‐ 100. 28592453 PMC5496518
  25. [28]Höglinger GU, Respondek G, Stamelou M, et al. Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria. Mov Disord. 2017; 32: 853‐ 864. 28467028 PMC5516529
  26. [29]Reilmann R, Leavitt BR, Ross CA. Diagnostic criteria for Huntington's disease based on natural history. Mov Disord. 2014; 29: 1335‐ 1341. 25164527
  27. [30]Slot RER, Verfaillie SCJ, Overbeek JM, et al. Subjective Cognitive Impairment Cohort (SCIENCe): study design and first results. Alzheimers Res Ther. 2018; 10: 76. 30081935 PMC6080529
  28. [31]Ossenkoppele R, Zwan MD, Tolboom N, et al. Amyloid burden and metabolic function in early‐onset Alzheimer's disease: parietal lobe involvement. Brain. 2012; 135: 2115‐ 2125. 22556189
  29. [32]de Wilde A, van Maurik IS, Kunneman M, et al. Alzheimer's biomarkers in daily practice (ABIDE) project: rationale and design. Alzheimer's Dement. 2017; 6: 143‐ 151. PMC5318541 28239639
  30. [33]Zwan MD, Bouwman FH, Konijnenberg E, et al. Diagnostic impact of [(18)F]flutemetamol PET in early‐onset dementia. Alzheimers Res Ther. 2017; 9: 2. 28093088 PMC5240413
  31. [34]Tijms BM, Willemse EAJ, Zwan MD, et al. Unbiased approach to counteract upward drift in cerebrospinal fluid amyloid‐beta 1‐42 analysis results. Clin Chem. 2018; 64: 576‐ 585. 29208658
  32. [35]Willemse EAJ, van Maurik IS, Tijms BM, et al. Diagnostic performance of Elecsys immunoassays for cerebrospinal fluid Alzheimer's disease biomarkers in a nonacademic, multicenter memory clinic cohort: the ABIDE project. Alzheimer's Dement. 2018; 10: 563‐ 572. PMC6215060 30406175
  33. [36]Rhodius‐Meester HFM, Benedictus MR, Wattjes MP, et al. MRI visual ratings of brain atrophy and white matter hyperintensities across the spectrum of cognitive decline are differently affected by age and diagnosis. Front Aging Neurosci. 2017; 9: 117. 28536518 PMC5422528
  34. [38]McCarthy S, Das S, Kretzschmar W, et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet. 2016; 48: 1279‐ 1283. 27548312 PMC5388176
  35. [39]Durbin R. Efficient haplotype matching and storage using the positional Burrows‐Wheeler transform (PBWT). Bioinformatics. 2014; 30: 1266‐ 1272. 24413527 PMC3998136
  36. [41]Cruchaga C, Del‐Aguila JL, Saef B, et al. Polygenic risk score of sporadic late‐onset Alzheimer's disease reveals a shared architecture with the familial and early‐onset forms. Alzheimers Dement. 2018; 14: 205‐ 214. 28943286 PMC5803427
  37. [42]Sabuncu MR, Buckner RL, Smoller JW, Lee PH, Fischl B, Sperling RA. The association between a polygenic Alzheimer score and cortical thickness in clinically normal subjects. Cereb Cortex. 2012; 22: 2653‐ 2661. 22169231 PMC3464416
  38. [43]Martiskainen H, Helisalmi S, Viswanathan J, et al. Effects of Alzheimer's disease‐associated risk loci on cerebrospinal fluid biomarkers and disease progression: a polygenic risk score approach. J Alzheimers Dis. 2015; 43: 565‐ 573. 25096612
  39. [44]Ge T, Sabuncu MR, Smoller JW, Sperling RA, Mormino EC. Dissociable influences of APOE ε4 and polygenic risk of AD dementia on amyloid and cognition. Neurology. 2018; 90: e1605‐ e1612. 29592889 PMC5931806
  40. [45]Leonenko G, Shoai M, Bellou E, et al. Genetic risk for alzheimer disease is distinct from genetic risk for amyloid deposition. Ann Neurol. 2019; 86: 427‐ 435. 31199530 PMC6771864
  41. [47]Rodríguez‐Rodríguez E, Sánchez‐Juan P, Vázquez‐Higuera JL, et al. Genetic risk score predicting accelerated progression from mild cognitive impairment to Alzheimer's disease. J Neural Transm. 2013; 120: 807‐ 812. 23180304
  42. [48]Ahmad S, Bannister C, van der Lee SJ, et al. Disentangling the biological pathways involved in early features of Alzheimer's disease in the Rotterdam Study. Alzheimers Dement. 2018; 14: 848‐ 857. 29494809
  43. [49]Adams HHH, de Bruijn RFAG, Hofman A, et al. Genetic risk of neurodegenerative diseases is associated with mild cognitive impairment and conversion to dementia. Alzheimers Dement. 2015; 11: 1277‐ 1285. 25916564
  44. [50]Lopresti BJ, Campbell EM, Yu Z, et al. Influence of apolipoprotein‐E genotype on brain amyloid load and longitudinal trajectories. Neurobiol Aging. 2020; 94: 111‐ 120. 32603776 PMC7483397
  45. [51]Slot RER, Kester MI, Van Harten AC, et al. ApoE and clusterin CSF levels influence associations between APOE genotype and changes in CSF tau, but not CSF Aβ42, levels in non‐demented elderly. Neurobiol Aging. 2019; 79: 101‐ 109. 31029938
  46. [53]Sims R, Hill M, Williams J. The multiplex model of the genetics of Alzheimer's disease. Nat Neurosci. 2020; 23: 311‐ 322. 32112059
  47. [54]Stocker H, Möllers T, Perna L, Brenner H. The genetic risk of Alzheimer's disease beyond APOE ε4: systematic review of Alzheimer's genetic risk scores. Transl Psychiatry. 2018; 8: 166. 30143603 PMC6109140

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Authors
Ebenau, J. L., van der Lee, S. J., Hulsman, M., Tesi, N., Jansen, I. E., Verberk, I. M. W., van Leeuwenstijn, M., Teunissen, C. E., Barkhof, F., Prins, N. D., Scheltens, P., Holstege, H., van Berckel, B. N. M., & van der Flier, W. M.
Affiliations
  • Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands
  • Neurochemistry Laboratory Department of Clinical Chemistry Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands
  • Department of Radiology & Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands
Venue
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Publisher
Wiley
Published
2021-01
Volume
13
Issue
1
ISSN
2352-8729
Cited by
19
References
9
Language
en

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