Single-cell profiling and genetic regulation of alternative polyadenylation in the human brain
Abstract Alternative polyadenylation (APA) has a central role in regulation of the fate of mRNA and exhibits high variability in the brain and in neurons. However, brain APA regulation has not been mapped at cell type resolution, and the genetic control of APA in brain cell types and its contribution to genetic disease have remained unclear. Here we report a single-cell atlas of APA of the aged human brain across 2 million cells from 379 human postmortem brains across individuals with and without Alzheimer’s disease (AD). We show that APA provides an independent mechanistic layer for understanding gene regulatory changes in AD, as genes with APA alterations are distinct from those with expression changes but often converge to similar pathways, including microglial activation and microtubule transport in neurons. We integrate APA variation with whole-genome sequencing to identify cell-type-resolved 3′ untranslated region quantitative trait loci (3′aQTLs) for 4,288 genes. We find that 3′aQTLs preferentially colocalize with pQTLs over eQTLs. Across 17 brain traits and diseases, we identify 168 GWAS loci dependent on 3′aQTLs, of which only 17.5% are shared with eQTLs. These include PLEKHA1 and APOC2 for AD, PAK6 and AP3B2 for schizophrenia, NDUFA13 for bipolar disorder, MTCH2 for multiple brain traits, and SNCA , the top locus in Parkinson’s disease. We show that 3′ untranslated region choice alters SNCA mRNA localization within the cell, consistent with the observation that the SNCA risk locus acts in an eQTL-independent manner in neurons and oligodendrocytes. Our results provide a cell-type-specific foundation to interrogate the cis and trans regulation of APA and to understand the contribution to disease heritability of this key post-transcriptional layer.
Authors
- Xinyang Hu (ORCID: https://orcid.org/0000-0002-6699-8470)
- Yafei Yin (ORCID: https://orcid.org/0000-0002-0171-844X)
- Xushen Xiong (ORCID: https://orcid.org/0000-0001-7090-7503)
- Puqi Wu
- Li‐Huei Tsai (ORCID: https://orcid.org/0000-0003-1262-0592)
- Kexuan Chen (ORCID: https://orcid.org/0000-0002-4771-2676)
- Wei Mo (ORCID: https://orcid.org/0000-0002-8165-4473)
- Xiaoyu Li (ORCID: https://orcid.org/0009-0006-9840-6704)
- Yongjin Park (ORCID: https://orcid.org/0000-0001-8915-2876)
- Zhang‐Hua Yang (ORCID: https://orcid.org/0000-0001-8713-1879)
- Xudong Fu (ORCID: https://orcid.org/0000-0001-7024-0200)
- Manolis Kellis (ORCID: https://orcid.org/0000-0001-7113-9630)
- Carles A. Boix (ORCID: https://orcid.org/0000-0001-9212-856X)
- Chong Liu (ORCID: https://orcid.org/0000-0001-6578-5919)
- Shaohui Shi
- Lei Hou (ORCID: https://orcid.org/0000-0003-0540-2706)
- Kate Louderback
- Jiuhong Nan (ORCID: https://orcid.org/0000-0002-4355-7015)
- Hiba Nawaid
- Jiacheng Ni
- Jingyun Li
- Chengyu Li (ORCID: https://orcid.org/0000-0001-6829-0209)
- Yao An
- Ke Ding (ORCID: https://orcid.org/0009-0002-0023-8898)
- Xiaoxi Fan (ORCID: https://orcid.org/0009-0009-9495-457X)
- Leyla Akay
- David A. Bennett
- Kai Wang
- Weirui Ma
- Xiaoyu Shuai
- Xianpei Huang
- Na Sun
- Shamil Sunyaev
Institutions
- Broad Institute (US)
- Boston University (US)
- Rush University Medical Center (US)
- Harvard University (US)
- University of British Columbia (CA)
- Sir Run Run Shaw Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- MIT Computer Science and Artificial Intelligence Laboratory (US)
- Massachusetts Institute of Technology (US)
- Zhejiang University (CN)
Publication Details
- Journal
- Nature Genetics
- Published
- 2026-09-30
- DOI
- https://doi.org/10.1038/s41588-026-02758-w
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 0.00