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. 2024 Sep 20;15(1):8251.
doi: 10.1038/s41467-024-52298-2.

CYP1B1-RMDN2 Alzheimer's disease endophenotype locus identified for cerebral tau PET

Kwangsik Nho #  1   2   3   4 Shannon L Risacher #  1   3 Liana G Apostolova  1   3   5   6 Paula J Bice  1   3 Jared R Brosch  3   5 Rachael Deardorff  3   5 Kelley Faber  6   7 Martin R Farlow  3   5 Tatiana Foroud  3   6   7 Sujuan Gao  3   8 Thea Rosewood  1   2   3 Jun Pyo Kim  1   2   3 Kelly Nudelman  3   6   7 Meichen Yu  1   3 Paul Aisen  9 Reisa Sperling  10 Basavaraj Hooli  11 Sergey Shcherbinin  11 Diana Svaldi  11 Clifford R Jack Jr  12 William J Jagust  13 Susan Landau  13 Aparna Vasanthakumar  14 Jeffrey F Waring  14 Vincent Doré  15   16 Simon M Laws  17 Colin L Masters  18 Tenielle Porter  17 Christopher C Rowe  16   18 Victor L Villemagne  16   19 Logan Dumitrescu  20   21 Timothy J Hohman  20   21 Julia B Libby  20 Elizabeth Mormino  22 Rachel F Buckley  10 Keith Johnson  10   23 Hyun-Sik Yang  10   24 Ronald C Petersen  25 Vijay K Ramanan  25 Nilüfer Ertekin-Taner  26   27 Prashanthi Vemuri  12 Ann D Cohen  19 Kang-Hsien Fan  28 M Ilyas Kamboh  28 Oscar L Lopez  19   29 David A Bennett  30 Muhammad Ali  31 Tammie Benzinger  32 Carlos Cruchaga  31   33 Diana Hobbs  32 Philip L De Jager  34 Masashi Fujita  34 Vaishnavi Jadhav  6   35 Bruce T Lamb  3   6   35 Andy P Tsai  22   35   36 Isabel Castanho  37   38 Jonathan Mill  37 Michael W Weiner  39   40 Alzheimer’s Disease Neuroimaging Initiative (ADNI)Department of Defense Alzheimer’s Disease Neuroimaging Initiative (DoD-ADNI)Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Study (A4 Study) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN)Australian Imaging, Biomarker & Lifestyle Study (AIBL)Andrew J Saykin  41   42   43   44   45
Affiliations

CYP1B1-RMDN2 Alzheimer's disease endophenotype locus identified for cerebral tau PET

Kwangsik Nho et al. Nat Commun. .

Abstract

Determining the genetic architecture of Alzheimer's disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent studies. The CYP1B1-RMDN2 locus is associated with tau deposition. The most significant signal is at rs2113389, explaining 4.3% of the variation in cortical tau, while APOE4 rs429358 accounts for 3.6%. rs2113389 is associated with higher tau and faster cognitive decline. Additive effects, but no interactions, are observed between rs2113389 and diagnosis, APOE4, and amyloid beta positivity. CYP1B1 expression is upregulated in AD. rs2113389 is associated with higher CYP1B1 expression and methylation levels. Mouse model studies provide additional functional evidence for a relationship between CYP1B1 and tau deposition but not amyloid beta. These results provide insight into the genetic basis of cerebral tau deposition and support novel pathways for therapeutic development in AD.

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Conflict of interest statement

Dr. Apostolova received grant or other financial support from the National Institutes of Health (NIH), Alzheimer’s Association, AVID Pharmaceuticals, Life Molecular Imaging, Roche Diagnostics, and Eli Lilly. In addition, she has received consulting fees from Biogen, Two Labs, IQIVA, Florida Department of Health, Genentech, NIH Biobank, Eli Lilly, GE Healthcare, Eisai, and Roche Diagnostics. She has also received payment or honoraria from American Academy of Neurology, MillerMed, National Alzheimer’s Coordinating Center CME, CME Institute, APhA, Purdue University, Mayo Clinic, MJH Physician Education Resource, and Ohio State University. She received support for travel from the Alzheimer’s Association. She has served on Data Safety and Monitoring or Advisory Boards for IQVIA, UAB Nathan Schock Center, New Mexico Exploratory ADRC, and NIA R01 AG061111. She has a leadership role in multiple committees, including the Medical Science Council of the Alzheimer’s Association Greater Indiana Chapter, the Alzheimer’s Association Science Program Committee, and the FDA PCNS Advisory Committee. Finally, Dr. Apostolova holds stock in Cassava Neurosciences and Golden Seeds. Dr. Foroud receives support from multiple NIH grants (U24 NS095871, U24 AG021886, U24 AG056270, U01 AA026103, U10 AA008401, P30 AG010133, R01 AG019771, U01 AG032984, P30 AR072581, U01 AG057195, UL1 TR002529, U19 AG063911; U19 AG063744, U19 AG068054, R01 AG069453, U54 CA196519, R01 AG061146, R01 AG073267, R01 AG074971, U19 AG071754, R01 AG055444, R01 AG070349, U19 AG024904, R01 AG076634, U19 AG079774, U54 CA280897, U19 NS120384); the Michael J. Fox Foundation (MJFF001948); Cohen Veterans Biosciences; The Parkinson’s Disease Foundation; Children’s Tumor Foundation; Broad Institute; Lumind Foundation; and Gates Venture (0432-06-120975). Dr. Jagust has served as a consultant for Biogen, Eisai, Lilly, and Bioclinica. He has an equity interest in Optoceuticals. Aparna Vasanthakumar and Jeffrey F. Waring are employees of AbbVie and may own AbbVie stock. Dr. Hohman receives support from multiple NIH grants (U24-AG074855, P20-AG068082, R01-AG061518, R01-AG059716, R01-AG074012, RF1-AG059869). He also sits on the advisory board for Vivid Genomics and is a Senior Associate Editor for Alzheimer’s and Dementia: Translational Research and Clinical Intervention. Hyun-Sik Yang received personal fees (honorarium) from Genentech, Inc outside the submitted work. Dr. Vemuri receives funding support from the NIH. Dr. Cruchaga has received research support from: GSK and EISAI. The funders of the study had no role in the collection, analysis, or interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. Dr. Cruchaga is a member of the advisory board of Vivid Genomics and Circular Genomics. Dr. Saykin receives support from multiple NIH grants (P30 AG010133, P30 AG072976, R01 AG019771, R01 AG057739, U19 AG024904, R01 LM013463, R01 AG068193, T32 AG071444, U01 AG068057, U01 AG072177 and U19 AG074879). He has also received support from Avid Radiopharmaceuticals, a subsidiary of Eli Lilly (in kind contribution of PET tracer precursor); Bayer Oncology (Scientific Advisory Board); Eisai (Scientific Advisory Board); Siemens Medical Solutions USA, Inc. (Dementia Advisory Board); NIH NHLBI (MESA Observational Study Monitoring Board); Springer-Nature Publishing (Editorial Office Support as Editor-in-Chief, Brain Imaging and Behavior). Dr. Ertekin-Taner receives support from multiple NIH grants (R01 AG061796, U19 AG074879, U01 AG046139, KL2 TR002379), Alzheimer’s Association Zenith Fellows Award and Florida Department of Health. She serves as an advisor to the Framingham Heart Study (NIH NHLBI 75N92019D00031/75N92019F00125). She also has a provisional patent application unrelated to this work. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Results of Discovery GWAS for cortical tau deposition.
Quantile-quantile (QQ) (A), Manhattan (B), and LocusZoom (C) plots of genome-wide association study (GWAS) results from seven discovery cohorts (N = 1446) using a linear regression model with age, sex, two principal component (PC) factors from population stratification, APOE4 status, and diagnosis as covariates are shown. The genomic inflation factor is λ = 1.025 in the Manhattan plot (B), the horizontal blue and red lines represent the -log10(10−5) and -log10(5.0 × 10−8) threshold levels, respectively. Two single nucleotide polymorphisms (SNPs) on chromosome 2 showed highly significant ( < 5.0 × 10−8) associations with cerebral tau deposition. The regional association plot (C) for the locus that passed genome-wide significance shows the region around the most significant SNP (rs2113389) at the RMDN2-CYP1B1 locus. SNPs were plotted based on their GWAS −log10 p-values and genomic position. The red color scale of r2 values was used to label SNPs based on their degree of linkage disequilibrium with the most significant SNP. Recombination rates calculated from 1000 Genomes Project reference data are also displayed in a blue line corresponding to the right vertical axis. Note: cerebral tau endophenotype measured as an inverse normal transformed variable of cortical tau SUVR.
Fig. 2
Fig. 2. Association of the most significant SNP (rs2113389) at the RMDN2-CYP1B1 locus with regional and global cortical tau burden.
Using an additive model, the minor allele (T) of rs2113389 is associated with higher tau deposition across participants, with both rs2113389 CT and TT individuals showing significantly greater medial temporal lobe (MTL; A) and cortical (B) tau deposition than rs2113389 CC individuals. Similar results are seen using a dominant model. Specifically, individuals with one or more minor alleles of rs2113389 show significantly greater tau deposition in the medial temporal lobe (C) and cortex (D) than rs2113389 CC individuals. One-way ANCOVA models are used with rs2113389 genotype as the independent variable, covaried for age, sex, Aβ positivity, APOE4 carrier status, and diagnosis. Plots represent mean ± standard error of the mean. Panels include 1,161 individuals (for A, B, 834 CC, 300 CT, 27 TT); for (C,D), 834 CC, 327 CT/TT). Source data are provided as a Source Data file. Aβ amyloid-beta; ANCOVA analysis of covariance; APOE apolipoprotein E; MTL medial temporal lobe; SUVR standardized uptake value ratio. Note: tau measured as an inverse normal transformed variable of medial temporal and cortical tau SUVR.
Fig. 3
Fig. 3. Interaction effect of the most significant SNP (rs2113389) at the RMDN2-CYP1B1 locus with diagnosis, APOE ε4 carrier status, and Aβ positivity on regional and cortical tau deposition.
Both diagnosis and rs2113389 dominant genotype are significantly associated with medial temporal lobe (MTL; A) and cortical (B) tau deposition. APOE4 carrier status and rs2113389 dominant genotype are significantly associated with MTL (C) and cortical (D) tau deposition. Significant effects of both Aβ positivity and rs2113389 dominant genotype on MTL (E) and cortical (F) tau deposition are observed. Two-way ANCOVA models, covaried for age, sex, as well as diagnosis, APOE4 carrier status, and Aβ positivity where appropriate, are used. Plots are displayed as mean + /−standard error of the mean. Panels (A) and (B) include 1161 participants (568 CN-CC, 222 CN-CT/TT, 195 MCI-CC, 75 MCI-CT/TT, 71 AD-CC, 30 AD-CT/TT); panels (C) and (D) include 1161 participants (468 APOE4-/CC, 199 APOE4-/CT/TT, 366 APOE4 + /CC, 128 APOE4 + /CT/TT); panels (E) and (F) include 1154 participants (338 Aβ-/CC, 131 Aβ-/CT/TT, 491 Aβ + /CC, 194 Aβ + /CT/TT). Source data are provided as a Source Data file. Aβ amyloid-beta; AD Alzheimer’s disease; ANCOVA analysis of covariance; APOE apolipoprotein E; CN cognitively normal; DX diagnosis; Dom rs2113389 dominant genotype (CC vs. CT/TT); Int. interaction; MCI mild cognitive impairment; MTL medial temporal lobe; SUVR standardized uptake value ratio. Note: tau measured as an inverse normal transformed variable of medial temporal and cortical tau SUVR.
Fig. 4
Fig. 4. Voxel-wise analysis and visualization of the effect of rs2113389 dominant genotype on tau deposition.
A Widespread regions of association between rs2113389 dominant genotype and tau deposition are observed in the inferior frontal, parietal, and medial and lateral temporal lobes, such that those with one or more minor alleles (T) at rs2113389 show greater tau deposition than CC rs2113389 individuals. Images are displayed at a voxel-wise threshold of p < 0.05 with family-wise error correction for multiple comparisons and a minimum cluster size (k) = 100 voxels. B Beta-value maps show widespread regions of higher tau deposition in rs2113389-T carriers relative to non-carriers. Specifically, temporal, parietal, and frontal lobe tau is greater in minor allele carriers than non-carriers. A one-way ANCOVA model is used, covaried for age, sex, diagnosis, APOE4 carrier status, and Aβ positivity. Analyzes include 1154 individuals (829 CC, 325 CT/TT). Aβ amyloid-beta; ANCOVA analysis of covariance; APOE apolipoprotein E.
Fig. 5
Fig. 5. Gene expression analysis of RMDN2 and CYP1B1 and expression quantitative trait locus (eQTL) and DNA methylation QTL (meQTL) analysis of rs2113389.
AD patients show downregulated expression of RMDN2 in the parahippocampal gyri (A) and upregulated expression of CYP1B1 in the temporal cortex (B) relative to CN using brain tissue-based RNA-Seq data from the AMP-AD project (Panel (A), n = 135 (26 CN, 109 AD); Panel (B), n = 151 (71 CN, 80 AD)). C In an eQTL analysis, the identified SNP (rs2113389) is associated with CYP1B1 expression levels in the temporal cortex (n = 257 (188 CC, 69 CT/TT)). One-way ANCOVA models are used in Panels (AC), and plots represent the mean ± standard error of the mean. Source data are provided for panels (AC) as a Source Data file. Cell type-specific expression levels (D) and eQTL in the excitatory neuron (E) of CYP1B1 gene (N = 424) are shown. In (D), the x-axis is cell types in ROSMAP DLPFC single-nucleus RNA-Seq data. The y-axis is the log2 of counts per million mapped reads (CPM) of CYP1B1 gene. Expression levels are computed at the donor level by aggregating cells from the same donor. Rare cell types are observed only in a small fraction of donors. Areas of violin plots are scaled to the number of donors. Fibroblasts (Fib) has the highest expression of CYP1B1 gene. Among major cell types, excitatory neurons (Exc) has the highest expression. In (E), the minor allele (T) of rs2113389 is associated with higher cell type-specific CYP1B1 expression levels in the excitatory neuron (p-value = 0.035). F DNA methylation QTL analysis (cis-meQTL) of rs2113389 with CpGs in CYP1B1 measured in blood samples from 634 ADNI participants demonstrate three CpGs, located in the CYP1B1 gene body region, as significantly associated with rs2113389 (p-value = 7.04 × 10−8, 5.43 × 10−9, and 4.73 × 10−12, respectively). G Cyp1b1 expression (relative mRNA expression levels by qPCR) is increased in the cortex of 6-month-old hTAU mice consistent with our findings in human LOAD (p-value = 0.038). The error bars represent the standard error of the mean. H Cyp1b1 expression (normalized RNA-Seq read counts) significantly changes with time (genotype*age) in TG rTg4510 mice, suggesting Cyp1b1 is associated with disease progression in the rTg4510 model. I Cyp1b1 expression (normalized RNA-Seq read counts) does not change with time (genotype*age) in J20 mice, suggesting that Cyp1b1 is not associated with amyloid pathology progression. AD Alzheimer’s disease; ADNI Alzheimer’s Disease Neuroimaging Initiative; AMP-AD Accelerating Medicines Partnership-AD; ANCOVA analysis of covariance; cis-meQTL DNA methylation quantitative trait loci; CN cognitively normal; CpG cytosines followed by guanine residues; CPM counts per million; DLPFC dorsolateral prefrontal cortex; DNA Deoxyribonucleic acid; eQTL expression quantitative trait loci; Exc excitatory neurons; Fib fibroblasts; hTAU humanized tau; ROSMAP Religious Orders Study/Memory and Aging Project; RNA-Seq Ribonucleic acid sequencing; SNP single nucleotide polymorphism.

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