Evidence map›Paper›PMID 31599933›Full record

ArticleGenome biology and evolution2019

Evaluating Chromatin Accessibility Differences Across Multiple Primate Species Using a Joint Modeling Approach.

Lee E Edsall, Alejandro Berrio, William H Majoros, Devjanee Swain-Lenz, Shauna Morrow, Yoichiro Shibata, Alexias Safi, Gregory A Wray, Gregory E Crawford, Andrew S Allen

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Prime time for primate functional genomics.Current opinion in genetics & development · 2020
    Review
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

10 authors at 1 institution in 3 countries.

Lee E EdsallCenter for Genomic and Computational Biology, Duke University.
Alejandro BerrioDepartment of Biology, Duke University.
William H MajorosDepartment of Biostatistics and Bioinformatics, Duke University.
Devjanee Swain-LenzDepartment of Biology, Duke University.
Shauna MorrowDepartment of Biology, Duke University.
Yoichiro ShibataCenter for Genomic and Computational Biology, Duke University.
Alexias SafiCenter for Genomic and Computational Biology, Duke University.
Gregory A WrayCenter for Genomic and Computational Biology, Duke University.
Gregory E CrawfordCenter for Genomic and Computational Biology, Duke University.
Andrew S AllenDepartment of Biostatistics and Bioinformatics, Duke University.
Duke University · US

Funding

Genetics Training Grant-Year 26T32GM007754 · NIGMS · DUKE UNIVERSITY · PI HAASE, STEVEN B · 1985 to 2019
$8.3M
Decoding schizophrenia-From GWAS to functional regulatory variantsR01MH105472 · NIMH · DUKE UNIVERSITY · PI CRAWFORD, GREGORY E, SULLIVAN, PATRICK F · 2014 to 2017
$2.9M
NIGMS NIH HHS T32 GM007754NIMH NIH HHS R01 MH105472
6 · The paper itself

Abstract

Changes in transcriptional regulation are thought to be a major contributor to the evolution of phenotypic traits, but the contribution of changes in chromatin accessibility to the evolution of gene expression remains almost entirely unknown. To address this important gap in knowledge, we developed a new method to identify DNase I Hypersensitive (DHS) sites with differential chromatin accessibility between species using a joint modeling approach. Our method overcomes several limitations inherent to conventional threshold-based pairwise comparisons that become increasingly apparent as the number of species analyzed rises. Our approach employs a single quantitative test which is more sensitive than existing pairwise methods. To illustrate, we applied our joint approach to DHS sites in fibroblast cells from five primates (human, chimpanzee, gorilla, orangutan, and rhesus macaque). We identified 89,744 DHS sites, of which 41% are identified as differential between species using the joint model compared with 33% using the conventional pairwise approach. The joint model provides a principled approach to distinguishing single from multiple chromatin accessibility changes among species. We found that nondifferential DHS sites are enriched for nucleotide conservation. Differential DHS sites with decreased chromatin accessibility relative to rhesus macaque occur more commonly near transcription start sites (TSS), while those with increased chromatin accessibility occur more commonly distal to TSS. Further, differential DHS sites near TSS are less cell type-specific than more distal regulatory elements. Taken together, these results point to distinct classes of DHS sites, each with distinct characteristics of selection, genomic location, and cell type specificity.

Indexed as

Evolution, MolecularAnimalsCell LineChromatinDeoxyribonuclease IGenomicsGorilla gorillaHumansMacaca mulattaModels, GeneticPan troglodytesPongoTranscription Initiation SiteChromatinDeoxyribonuclease Ichromatin accessibilitycis-regulatory evolutioncomparative functional genomicspositive selectiontranscriptional regulation

Identifiers

PMID31599933
PMCPMC6821351
OpenAlexW2980218294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.