Evidence map›Paper›PMID 37719147›Full record

ArticleCell genomics2023

Identifying genetic regulatory variants that affect transcription factor activity.

Xiaoting Li, Tuuli Lappalainen, Harmen J Bussemaker

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Xiaoting LiDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA.
Tuuli LappalainenNew York Genome Center, New York, NY 10013, USA.
Harmen J BussemakerDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA.
Columbia University · USScience for Life Laboratory · SE

Funding

Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

Genetic variants affecting gene expression levels in humans have been mapped in the Genotype-Tissue Expression (GTEx) project.

Indexed as

aQTLbeta-binomial distributiongeneralized linear modelgene regulationgenetic variationgenome-wide associationquantitative trait locusRNA-seq datatrans-acting genetic variationtranscription factor activitytranscription factor perturbation signatures

Identifiers

PMID37719147
PMCPMC10504674
OpenAlexW4385989362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.