Evidence map›Paper›PMID 37104615›Full record

ArticleScience (New York, N.Y.)2023

Relating enhancer genetic variation across mammals to complex phenotypes using machine learning.

Irene M Kaplow, Alyssa J Lawler, Daniel E Schäffer, Chaitanya Srinivasan, Heather H Sestili, Morgan E Wirthlin, BaDoi N Phan, Kavya Prasad, Ashley R Brown, Xiaomeng Zhang and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
12.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The molecular evolution of vertebrate organs.Nature ecology & evolution · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Irene M Kaplow *Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-8924-8269
Alyssa J Lawler *Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-2151-5164
Daniel E Schäffer *Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-3608-152X
Chaitanya SrinivasanDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-1487-541X
Heather H SestiliDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-3944-3429
Morgan E WirthlinDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-7967-7070
BaDoi N PhanDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-6331-5980
Kavya PrasadDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-3419-5670
Ashley R BrownDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-3091-3930
Xiaomeng ZhangDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-8536-6460
Kathleen FoleyDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA.ORCID 0000-0003-0923-1326
Diane P GenereuxBroad Institute, Cambridge, MA, USA.ORCID 0000-0001-5770-0989
Zoonomia Consortium**
Elinor K KarlssonBroad Institute, Cambridge, MA, USA.ORCID 0000-0002-4343-3776
Kerstin Lindblad-TohBroad Institute, Cambridge, MA, USA.ORCID 0000-0001-8338-0253
Wynn K MeyerDepartment of Biological Sciences, Lehigh University, Bethlehem, PA, USA.ORCID 0000-0001-7978-3877
Andreas R PfenningDepartment of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-3447-9801
Carnegie Mellon University · USBroad Institute · USLehigh University · USUniversity of Pittsburgh · US

Funding

GENCODE: comprehensive reference genome annotation for human and mouseU24HG007234 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Fergal James Martin · 2021 to 2026
$16.1M
A Massive Library of AAVs to Target Transcriptionally-Defined Primate Cell TypesUG3MH120094 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STAUFFER, WILLIAM RICHARD · 2019 to 2021
$5.8M
The 200 mammals project: sequencing genomes by a novel cost-effective method, yielding a high resolution annotation of the human genome.R01HG008742 · NHGRI · BROAD INSTITUTE, INC. · PI BIRREN, BRUCE W., KARLSSON, ELINOR · 2016 to 2020
$2.8M
Enabling Comparative PangenomicsR01HG010485 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, MARTIN, FERGAL JAMES · 2020 to 2023
$2.6M
Interpreting the regulatory mechanisms underlying the predisposition to substance use disordersDP1DA046585 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PFENNING, ANDREAS ROBERT · 2018 to 2022
$2.4M
Integrating primate-rodent cell types and epigenomics to identify conservation in substance addictionF30DA053020 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PHAN, BADOI NGUYEN · 2021 to 2024
$204k
NHGRI NIH HHS R01 HG008742NHGRI NIH HHS R01 HG010485NHGRI NIH HHS U24 HG007234NIDA NIH HHS DP1 DA046585NIDA NIH HHS F30 DA053020NIMH NIH HHS UG3 MH120094
6 · The paper itself

Abstract

Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations between enhancers and phenotypes is challenging because enhancer activity can be tissue-dependent and functionally conserved despite low sequence conservation. We developed the Tissue-Aware Conservation Inference Toolkit (TACIT) to associate candidate enhancers with species' phenotypes using predictions from machine learning models trained on specific tissues. Applying TACIT to associate motor cortex and parvalbumin-positive interneuron enhancers with neurological phenotypes revealed dozens of enhancer-phenotype associations, including brain size-associated enhancers that interact with genes implicated in microcephaly or macrocephaly. TACIT provides a foundation for identifying enhancers associated with the evolution of any convergently evolved phenotype in any large group of species with aligned genomes.

Indexed as

Enhancer Elements, GeneticGenetic VariationMachine LearningMammalsAnimalsPhenotype

Identifiers

PMID37104615
PMCPMC10322212
OpenAlexW4367173587

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.