S-LDSC ALZ Analysis
I applied Stratified Linkage Disequilibrium Score Regression (S-LDSC)1 to summary statistics from Bellenguez et al.'s 2022 Meta-GWAS of Alzheimers' disease2.
Reference Data Sources
I used the standard reference datasets recommended and preprocessed by the authors of the S-LDSC method.
- The GTEx Project
- The Franke lab dataset
- The Roadmap Epigenetic Project
- The Corces et al. ATAC-seq dataset of 13 blood cell types.
- The ImmGen Project
- The Cahoy Mouse Central Nervous System Dataset
Results
GTEx and Franke lab tissue expression data
Surprisingly, no cell or tissue types were significant at a FDR of 0.01 using GTEx/Franke lab reference dataset.
Here are the cell/tissue types with the lowest p values:
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| A15.382.680.Phagocytes | 1.07416e-08 | 0.000303268 | False |
| A15.378.316.Bone.Marrow.Cells | 1.04343e-08 | 0.000613866 | False |
| A15.378.316.580.Monocytes | 1.03343e-08 | 0.000770997 | False |
| A15.382.Immune.System | 5.30068e-09 | 0.0016483 | False |
| A15.382.812.Mononuclear.Phagocyte.System | 9.23168e-09 | 0.00187043 | False |
| A15.382.490.315.583.Neutrophils | 5.96328e-09 | 0.00207589 | False |
| Brain_Substantia_nigra | 2.57256e-09 | 0.00413337 | False |
| Brain_Hippocampus | 2.46114e-09 | 0.0054518 | False |
The non-significant cell types with the lowest p values are immune related, consistent with theories that immune processes drive Alzheimer's disease (see pg. 1205 of Kandel et al.3).
Roadmap Chromatin data
I next used reference data generated by Finucane et al.1 from the Roadmap Epigenetics Project.
The following graph and table show the results:
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| Primary_B_cells_from_cord_blood__H3K4me1 | 6.38583e-08 | 9.12989e-06 | True |
| Spleen_ENTEX__H3K4me3 | 7.63489e-08 | 0.000119307 | False |
| Spleen_ENTEX__H3K27ac | 5.18872e-08 | 0.000207013 | False |
| Primary_monocytes_from_peripheral_blood__DNase | 1.88703e-07 | 0.000219091 | False |
| Primary_monocytes_from_peripheral_blood__H3K4me1 | 6.35288e-08 | 0.000404116 | False |
| Primary_neutrophils_from_peripheral_blood__H3K4me3 | 9.90636e-08 | 0.000756243 | False |
| Spleen_ENTEX__H3K4me1 | 1.35523e-07 | 0.000863159 | False |
| Primary_B_cells_from_peripheral_blood__H3K4me1 | 3.53291e-08 | 0.000932097 | False |
In this dataset, there is one significant cell type: B-cells from cord blood. Again, this is consistent with theories of an immune-related etiology3.
ImmGen data
The result of applying S-LSDC to the Alzheimer's GWAS with the ImmGen reference dataset are shown below:
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| DC.103-11b+F4_80lo.Kd | 9.23301e-09 | 8.0773e-06 | True |
| MF.Microglia.CNS | 9.62855e-09 | 0.000242887 | False |
| Mo.6C-IIint.Bl | 1.1929e-08 | 0.000415892 | False |
| Mo.6C+II+.Bl | 9.99718e-09 | 0.000578951 | False |
| DC.103+11b-.Lu | 5.33801e-09 | 0.00102154 | False |
| NK.49H-.Sp | 5.73474e-09 | 0.00114727 | False |
| GN.BM | 5.7906e-09 | 0.00151902 | False |
| GN.Bl.v2 | 6.00743e-09 | 0.00160889 | False |
Only a single cell type is significant. This cell type appears to be a form of kidney-based dendritic cell.
Corces et al. ATAC-seq data
Application of S-LDSC using the Corces ATAC-seq dataset produces one significant hit. The cell types with the lowest p values are shown below.
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| Mono | 1.92887e-07 | 6.37581e-05 | True |
| GMP | 3.6411e-08 | 0.0766454 | False |
| Bcell | 3.72995e-08 | 0.0892083 | False |
| MPP | 1.92852e-08 | 0.19055 | False |
| HSC | 1.68987e-08 | 0.191926 | False |
| MEP | 2.10708e-08 | 0.214319 | False |
| CMP | 1.52784e-08 | 0.259065 | False |
| CLP | 2.07019e-08 | 0.282973 | False |
It is interesting that the significant hit is the "monocyte" cell type.
Cahoy and GTEx-Brain data
The cell classes with the lowest p values from the Cahoy and GTEx brain datasets are shown below:
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| Oligodendrocyte | 2.08857e-09 | 0.154461 | False |
| Astrocyte | 4.56992e-10 | 0.372866 | False |
| Neuron | 1.05632e-10 | 0.467793 | False |
| Name | Coefficient | Coefficient_P_value | Reject Null |
|---|---|---|---|
| Brain_Substantia_nigra | 5.26982e-09 | 0.00104795 | False |
| Brain_Cortex | 3.42421e-09 | 0.0226111 | False |
| Brain_Spinal_cord_(cervical_c-1) | 3.25361e-09 | 0.0239112 | False |
| Brain_Hippocampus | 1.31903e-09 | 0.14029 | False |
| Brain_Nucleus_accumbens_(basal_ganglia) | 1.69999e-09 | 0.170507 | False |
| Brain_Amygdala | 9.48447e-10 | 0.202438 | False |
| Brain_Anterior_cingulate_cortex_(BA24) | 1.07874e-09 | 0.215418 | False |
| Brain_Putamen_(basal_ganglia) | 1.23503e-09 | 0.215505 | False |
The lack of significant hits is surprising if one views Alzheimer's as a straightforwardly neurological disease. However, these results make sense given theories of Alzheimer's as immune- or microglia- driven.
Comment
It is interesting to contrast the above results with those produced when S-LDSC is applied to inflammatory bowel disease. Both conditions are "immune" in a broad sense, but their S-LDSC results are quite different. Alzheimer's produces a small number of cell-type hits at a moderate level of significance, whereas IBD produces a large number of highly significant cell-type hits. A tentative explanation may be that the immune aspect of Alzheimer's is focused on microglia, and there are no microglia cell types in any of the datasets considered above. Thus, cell types are significant for Alzheimer's only to the extent that they resemble microglia.
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Hilary K Finucane, Yakir A Reshef, Verneri Anttila, Kamil Slowikowski, Alexander Gusev, Andrea Byrnes, Steven Gazal, Po-Ru Loh, Caleb Lareau, Noam Shoresh, and others. Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types. Nature Genetics, 50(4):621–629, 2018. URL: https://pmc.ncbi.nlm.nih.gov/articles/PMC5896795/. ↩↩
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Céline Bellenguez, Fahri Küçükali, Iris E Jansen, Luca Kleineidam, Sonia Moreno-Grau, Najaf Amin, Adam C Naj, Rafael Campos-Martin, Benjamin Grenier-Boley, Victor Andrade, and others. New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nature Genetics, 54(4):412–436, 2022. URL: https://www.nature.com/articles/s41588-022-01024-z. ↩
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Eric R. Kandel, John D. Koester, and Steven A. Mack, Sarah H. Siegelbaum. Principles of neural science 6th edition. Elsevier New York, 2021. URL: https://www.amazon.ca/Principles-Neural-Science-Sixth-Kandel-ebook-dp-B08LNXDCS3/dp/B08LNXDCS3. ↩↩