ArticleScience advances2020
Robust inference of positive selection on regulatory sequences in the human brain.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Evolution of CTCF binding sites in the human genome.Molecular biology and evolution · 2026Article
- Cross-species prediction reveals chromatin regions with increased accessibility in humans.Science advances · 2026Article
- The molecular evolution of vertebrate organs.Nature ecology & evolution · 2026Review
- Phenotypic complexity determines the predictability of molecular convergence.bioRxiv : the preprint server for biology · 2026Article
- Collision-free morgan fingerprints: a principled approach to enhance machine learning performance and interpretability in chemistry.Journal of cheminformatics · 2026Article
- Recently Evolved, Stage-Specific Genes Are Enriched at Life-Stage Transitions in Flies.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025Article
- A simple model reveals why complex evolutionary innovations follow predictable paths.bioRxiv : the preprint server for biology · 2025Article
- A whole-genome scan for evidence of positive and balancing selection in aye-ayes (Daubentonia madagascariensis) utilizing a well-fit evolutionary baseline model.G3 (Bethesda, Md.) · 2025Article
- A whole-genome scan for evidence of recent positive and balancing selection in aye-ayes (bioRxiv : the preprint server for biology · 2024Article
- Article
- Transcription factor binding sites are frequently under accelerated evolution in primates.Nature communications · 2023Article
- Article
- Adaptive eQTLs reveal the evolutionary impacts of pleiotropy and tissue-specificity while contributing to health and disease.HGG advances · 2022Article
- Evolution and dysfunction of human cognitive and social traits: A transcriptional regulation perspective.Evolutionary human sciences · 2022Review
- Both Binding Strength and Evolutionary Accessibility Affect the Population Frequency of Transcription Factor Binding Sequences in Arabidopsis thaliana.Genome biology and evolution · 2021Article
- The hourglass model of evolutionary conservation during embryogenesis extends to developmental enhancers with signatures of positive selection.Genome research · 2021Article
- The Cancer Genome: Paradigm or Paradox?Cancers · 2021Article
- Impact of Genetic Variation in Gene Regulatory Sequences: A Population Genomics Perspective.Frontiers in genetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A longstanding hypothesis is that divergence between humans and chimpanzees might have been driven more by regulatory level adaptations than by protein sequence adaptations. This has especially been suggested for regulatory adaptations in the evolution of the human brain. We present a new method to detect positive selection on transcription factor binding sites on the basis of measuring predicted affinity change with a machine learning model of binding. Unlike other methods, this approach requires neither defining a priori neutral sites nor detecting accelerated evolution, thus removing major sources of bias. We scanned the signals of positive selection for CTCF binding sites in 29 human and 11 mouse tissues or cell types. We found that human brain-related cell types have the highest proportion of positive selection. This result is consistent with the view that adaptive evolution to gene regulation has played an important role in evolution of the human brain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.