Evidence map›Paper›PMID 42779863›Full record

ArticlebioRxiv : the preprint server for biology2026

Genome-scale perturbation signatures from primary human CD4

Alexander L Han, Max Slotnik, David A Fox, Ryan S Dhindsa, Johann E Gudjonsson, J Michelle Kahlenberg, Joshua Welch

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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.

No citing paper in PubMed yet.

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

7 authors.

Alexander L HanUniversity of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-2516-2343
Max SlotnikDuke University School of Medicine, Durham, NC, USA.
David A FoxUniversity of Michigan, Ann Arbor, MI, USA.
Ryan S DhindsaJan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
Johann E GudjonssonDivision of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
J Michelle KahlenbergUniversity of Michigan, Ann Arbor, MI, USA.
Joshua WelchDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-5869-2391

Funding

Linking Disease Mechanisms and Outcomes in Rheumatic DiseasesK24AR076975 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joanne Michelle Kahlenberg · 2020 to 2026
$910k
NIAMS NIH HHS K24 AR076975
6 · The paper itself

Abstract

While human genetic evidence improves drug program success, target selection largely relies on associational features. Even functional features are mainly observational, capturing disease associations rather than the consequence of perturbing genes in the disease-relevant human cell type. To move beyond association, we present IGNITE (Immune Genomics and fuNctional Integration for Target Enrichment), a framework that prioritizes immune drug targets by integrating human genetic priors with features from genome-scale perturb-seq in 22 million primary human CD4

Identifiers

PMID42779863
PMCPMC13596261

What OpenQuestion holds

Textmetadata
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.