Evidence map›Paper›PMID 37965206›Full record

ArticlebioRxiv : the preprint server for biology2023

Sources of gene expression variation in a globally diverse human cohort.

Dylan J Taylor, Surya B Chhetri, Michael G Tassia, Arjun Biddanda, Alexis Battle, Rajiv C McCoy

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Dylan J TaylorDepartment of Biology, Johns Hopkins University, Baltimore MD, USA.ORCID 0000-0001-5806-4494
Surya B ChhetriDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD, USA.
Michael G TassiaDepartment of Biology, Johns Hopkins University, Baltimore MD, USA.ORCID 0000-0002-5485-8155
Arjun BiddandaDepartment of Biology, Johns Hopkins University, Baltimore MD, USA.ORCID 0000-0003-1861-1523
Alexis BattleDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore MD, USA.ORCID 0000-0002-5287-627X
Rajiv C McCoyDepartment of Biology, Johns Hopkins University, Baltimore MD, USA.ORCID 0000-0003-0615-146X
Johns Hopkins University · US

Funding

Function and fitness consequences of human genetic variationR35GM133747 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Rajiv Champion McCoy · 2019 to 2026
$3.3M
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddiseaseR35GM139580 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BATTLE, ALEXIS · 2021 to 2025
$3.1M
Uncovering sources of human gene expression variation in a globally diverse cohortF31HG012900 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI TAYLOR, DYLAN JAMES · 2023 to 2024
$97k
NHGRI NIH HHS F31 HG012900NIGMS NIH HHS R35 GM133747NIGMS NIH HHS R35 GM139580
6 · The paper itself

Abstract

Genetic variation influencing gene expression and splicing is a key source of phenotypic diversity. Though invaluable, studies investigating these links in humans have been strongly biased toward participants of European ancestries, diminishing generalizability and hindering evolutionary research. To address these limitations, we developed MAGE, an open-access RNA-seq data set of lymphoblastoid cell lines from 731 individuals from the 1000 Genomes Project spread across 5 continental groups and 26 populations. Most variation in gene expression (92%) and splicing (95%) was distributed within versus between populations, mirroring variation in DNA sequence. We mapped associations between genetic variants and expression and splicing of nearby genes (

Identifiers

PMID37965206
PMCPMC10635147
OpenAlexW4388377217

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.