New research and clinical criteria for Alzheimer’s disease (AD) have recently been proposed, which include biomarker information on Alzheimer’s plaque and tangle pathology, or AD-typical structural brain changes, as supporting or essential elements of an AD diagnosis.1, 2, 3 In a large group of patients with both genetic and cerebrospinal fluid (CSF) biomarker data, we here show that biomarker-assisted diagnosis-making almost doubles the effect size of the association between the ɛ4 variant of the apolipoprotein E (APOE) gene and AD.
We included clinically diagnosed patients with either AD dementia (n=309) or mild cognitive impairment (MCI) due to AD (n=287), cognitively normal controls (n=251) and patients with MCI who remained stable over at least 2 years (n=399) or developed dementias other than AD (n=99) (Table 1, Supplementary Material). All had APOE ɛ2/ɛ3/ɛ4 genotypes and results on the CSF biomarkers total tau (T-tau), phosphorylated tau (P-tau) and the 42-amino-acid isoform of amyloid-β (Aβ42) determined. These CSF biomarkers reflect the core elements of Alzheimer’s pathology4 and are strongly associated with AD in cross-sectional as well as longitudinal follow-up studies (Supplementary Material).5, 6
AD dementia and MCI-AD patients were first pooled into one clinical AD group (n=596) and compared with all remaining categories that were designated non-AD (n=749). A positive APOE ɛ4 carrier status (one or two ɛ4 alleles) was overrepresented in the AD group and yielded an odds ratio (OR) of 4.45 (95% confidence interval (CI) 3.52–5.62) for a clinical diagnosis of AD at inclusion or follow-up (Figure 1). This OR is similar to the AlzGene meta-analysis of APOE (3.68, 95% CI 3.30–4.11, www.alzgene.org/meta.asp?geneID=83, November 2012 freeze). Similarly, we tested the association of APOE ɛ4 with AD, comparing the 596 AD patients with the 251 cognitively normal controls, which resulted in an OR of 6.35 (95% CI 4.59–8.80).
Disregarding the clinical diagnoses and subgrouping all subjects into amyloid-positive, defined as CSF Aβ42 <546 ng l−1 (n=779), and amyloid-negative, defined as CSF Aβ42 ⩾546 ng l−1 (n=563) (see Supplementary Material for details on cut-point determination), gave an OR for APOE ɛ4 as high as 6.27 (95% CI 4.93–7.98). Dichotomizing the material according to CSF T-tau or P-tau did not change the ORs as compared with clinical diagnosis only (Figure 1). Even though the OR for the ratio P-tau/Aβ42 (6.50 (95% CI 5.07–8.35)) was slightly higher than for Aβ42 alone, the difference was not statistically significant.
We also compared patients, again disregarding the clinical diagnoses, who had a complete CSF biomarker signature indicative of AD, that is, low Aβ42 and both high T-tau and P-tau (n=438, see Supplementary Material for a detailed description of the signature), with subjects with a negative CSF biomarker pattern (n=414). The biomarker diagnosis strengthened the association to APOE ɛ4; the OR increased from 4.45 (95% CI 3.52–5.62) in pure clinical diagnosis to 7.66 (95% CI 5.65–10.39) in patients classified on the basis of biomarker data alone.
Finally, ORs were calculated on subjects having both a clinical diagnosis and a concordant complete biomarker profile (n(AD)=324; n(control)=155). This approach resulted in an even stronger association of APOE ɛ4 with AD (OR 10.4, 95% CI 6.65–16.3). Similar effects were seen when comparing non-carriers with ɛ4 heterozygotes and homozygotes across the different diagnostic groups (Figure 1, Supplementary Material).
These results have several important implications. First, APOE ɛ4 appears as strongly associated with amyloid pathology as clinical AD. Second, clinical criteria that incorporate biomarker information on Alzheimer’s pathology give a stronger association with APOE ɛ4 than clinical diagnosis alone. This is compatible with the presumed higher diagnostic accuracy of the revised clinical approach,1, 2, 3 and has also been seen in a series of neuropathologically verified AD cases and controls.7 Third, the approach of combining clinical with biomarker data may increase the power of genetic association studies, as well as the potential to provide insights into the mechanistic pathways through which genetic risk factors may exert their effects.
References
Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC et al Alzheimers Dement 2011; 7: 270–279.
Dubois B, Feldman HH, Jacova C, Dekosky ST, Barberger-Gateau P, Cummings J et al Lancet Neurol 2007; 6: 734–746.
McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR, Kawas CH et al Alzheimers Dement 2011; 7: 263–269.
Seppälä TT, Nerg O, Koivisto AM, Rummukainen J, Puli L, Zetterberg H et al Neurology 2012; 78: 1568–1575.
Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L . Lancet Neurol 2006; 5: 228–234.
Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M et al JAMA 2009; 302: 385–393.
Corneveaux JJ, Myers AJ, Allen AN, Pruzin JJ, Ramirez M, Engel A et al Hum Mol Genet 2010; 19: 3295–3301.
Acknowledgements
This study was funded by grants from Swedish Brain Power, the Swedish Research Council (projects 14002, 2006-6227, KP2010-63P-21562-01-4 and K2011-61X-20401-05-6), the Wolfson Foundation, the Alzheimer’s Association (NIRG-08-90356), the JPND Project BIOMARKAPD, Swedish State Support for Clinical Research (ALFGBG-144341), the Swedish Brain Fund, the Alzheimer Foundation, Sweden, the Dementia Association, Sweden, the National Institute for Health Research (NIHR) Biomedical Research Unit in Dementia based at University College London Hospitals (UCLH), University College London (UCL). The Dementia Research Centre is an Alzheimer's Research UK Coordinating Centre. HH was supported by the Katharina-Hardt Foundation, Bad Homburg, Germany. AW thanks the Gothenburg MCI Study team and was supported by the Swedish Research Council (project K2010-61X-14981-07-3).
Disclaimer
The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Supplementary Information accompanies the paper on the Molecular Psychiatry website
Supplementary information
PowerPoint slides
Rights and permissions
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
About this article
Cite this article
Andreasson, U., Lautner, R., Schott, J. et al. CSF biomarkers for Alzheimer’s pathology and the effect size of APOE ɛ4. Mol Psychiatry 19, 148–149 (2014). https://doi.org/10.1038/mp.2013.18
Published:
Issue Date:
DOI: https://doi.org/10.1038/mp.2013.18
This article is cited by
-
Brain APOE expression quantitative trait loci-based association study identified one susceptibility locus for Alzheimer’s disease by interacting with APOE ε4
Scientific Reports (2018)
-
Alzheimer’s disease—subcortical vascular disease spectrum in a hospital-based setting: Overview of results from the Gothenburg MCI and dementia studies
Journal of Cerebral Blood Flow & Metabolism (2016)
-
Screening of dementia genes by whole-exome sequencing in early-onset Alzheimer disease: input and lessons
European Journal of Human Genetics (2016)
-
Genetic Variants and Related Biomarkers in Sporadic Alzheimer’s Disease
Current Genetic Medicine Reports (2015)