Integration of Alzheimer’s disease genetics and myeloid cell genomics identifies novel causal variants, regulatory elements, genes and pathways
Novikova, G.; Kapoor, M.; TCW, J.; Abud, E. M.; Efthymiou, A. G.; Cheng, H.; Fullard, J. F.; Bendl, J.; Roussos, P.; Poon, W. W.; Hao, K.; Marcora, E.; Goate, A. M.
Show abstract
Genome-wide association studies (GWAS) have identified more than thirty loci associated with Alzheimers disease (AD), but the causal variants, regulatory elements, genes and pathways remain largely unknown thus impeding a mechanistic understanding of AD pathogenesis. Previously, we showed that AD risk alleles are enriched in myeloid-specific epigenomic annotations. Here, we show that they are specifically enriched in active enhancers of monocytes, macrophages and microglia. We integrated AD GWAS signals with myeloid epigenomic and transcriptomic datasets using novel analytical approaches to link myeloid enhancer activity to target gene expression regulation and AD risk modification. We nominate candidate AD risk enhancers and identify their target causal genes (including AP4E1, AP4M1, APBB3, BIN1, CD2AP, MS4A4A, MS4A6A, PILRA, RABEP1, SPI1, SPPL2A, TP53INP1, ZKSCAN1, and ZYX) in sixteen loci. Fine-mapping of these enhancers nominates candidate functional variants that likely modify disease susceptibility by regulating causal gene expression in myeloid cells. In the MS4A locus we identified a single candidate functional variant and validated it experimentally in human induced pluripotent stem cell (hiPSC)-derived microglia. Combined, these results strongly implicate dysfunction of the myeloid endolysosomal system in the etiology of AD.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease 98%
- Polygenic burden of short tandem repeat expansions promote risk for Alzheimer’s disease 98%
- A meta-analysis of epigenome-wide association studies in Alzheimer's disease highlights novel differentially methylated loci across cortex 97%
Similar papers in this journal
- Large meta-analysis of genome-wide association studies expands knowledge of the genetic etiology of Alzheimer’s disease and highlights potential translational opportunities 98%
- Atlas of genetic effects in human microglia transcriptome across brain regions, aging and disease pathologies 97%
- Genetics of the human microglia regulome refines Alzheimer’s disease risk loci 97%
Similar papers in this journal
- Transcriptome-wide analyses delineate the genetic architecture of expression variation in atopic dermatitis 97%
- Scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications to studying Alzheimer’s disease 95%
- A Specialized Reference Panel with Structural Variants Integration for Improving Genotype Imputation in Alzheimer's Disease and Related Dementias (ADRD) 94%
Similar papers in this journal
- Non-Coding and Loss-of-Function Coding Variants in TET2 are Associated with Multiple Neurodegenerative Diseases 97%
- Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWAS 94%
- Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects 94%
Similar papers in this journal
- Predicting Disease-Specific Histone Modifications and Functional Effects of Non-coding Variants by Leveraging DNA Language Models 94%
- Cell-type specific inference from bulk RNA-sequencing data by integrating single cell reference profiles via EPIC-unmix 94%
- Local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.