Nature CommunicationsNeurosciencePeer-reviewed journal article
Human-lineage-specific genomic elements: relevance to neurodegenerative disease and APOE transcript usage
Zhongbo CheniD, David ZhangiD, Regina Hertfelder ReynoldsiD, Emil Karl GustavssoniD, Sonia García-RuiziD, Karishma D’SaiD, Aine Fairbrother-BrowneiD, Jana VandrovcováiD, Alastair John NoyceiD, Rauan B. KaiyrzhanoviD, Ben MiddlehurstiD, Demis A. Kia, Manuela M. X. TaniD, Huw R. MorrisiD, Hélène Plun‐FavreauiD, Peter HolmansiD, Daniah TrabzuniiD, José BrásiD, John Peter QuinniD, Kin Ying MokiD, Kerri J. KinghorniD, Kimberley J. BillingsleyiD, Nicholas William WoodiD, Patrick Alfryn LewisiD, Sebastian R. SchreglmanniD, , Rubén Fernández‐SantiagoiD
Abstract
Knowledge of genomic features specific to the human lineage may provide insights into brain-related diseases. We leverage high-depth whole genome sequencing data to generate a combined annotation identifying regions simultaneously depleted for genetic variation (constrained regions) and poorly conserved across primates. We propose that these constrained, non-conserved regions (CNCRs) have been subject to human-specific purifying selection and are enriched for brain-specific elements. We find that CNCRs are depleted from protein-coding genes but enriched within lncRNAs. We demonstrate that per-SNP heritability of a range of brain-relevant phenotypes are enriched within CNCRs. We find that genes implicated in neurological diseases have high CNCR density, including APOE, highlighting an unannotated intron-3 retention event. Using human brain RNA-sequencing data, we show the intron-3-retaining transcript/s to be more abundant in Alzheimers disease with more severe tau and amyloid pathological burden. Thus, we demonstrate the importance of human-lineage-specific sequences in brain development and neurological disease. We release our annotation through vizER (https://snca.atica.um.es/browser/app/vizER).
- organism: human
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 20
- FWCI
- 1.98
- Field percentile
- top 14%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Identification of lncRNAs differentially expressed in Alzheimer's disease brains using RNA sequencing
Muhammad Aslam, Marcel Schilling, … Lars Bertram·medRxiv·Mar 31, 2025
- Warning SINEs: Alu elements, evolution of the human brain, and the spectrum of neurological disease
Peter A. Larsen, Kelsie E. Hunnicutt, … Ann M. Saunders·Chromosome ResearchPeer-reviewed·Feb 19, 2018
- The contribution of Neanderthal introgression and natural selection to neurodegenerative diseases
Zhongbo Chen, Regina Hertfelder Reynolds, … Ammar Al‐Chalabi·Neurobiology of DiseasePeer-reviewed·Mar 14, 2023
- Nanopore Long-Read Sequencing Unveils Genomic Disruptions in Alzheimer's Disease
Paulino Ramirez, Wenyan Sun, … Bess E Frost·Alzheimer s & DementiaPeer-reviewed·Nov 1, 2025
- Identification of a specific APOE transcript and functional elements associated with Alzheimer's disease
Qiang Chen, Luis Aguirre, … Liang Ma·Molecular NeurodegenerationPeer-reviewed·Aug 29, 2024
- Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance
Soheil Yousefi, Ruizhi Deng, … Tahsin Stefan Barakat·Genome MedicinePeer-reviewed·Oct 18, 2021