Evidence map›Paper›PMID 36909550›Full record

ArticlebioRxiv : the preprint server for biology2024

Meta-Research: understudied genes are lost in a leaky pipeline between genome-wide assays and reporting of results.

Reese Ak Richardson, Heliodoro Tejedor Navarro, Luis A Nunes Amaral, Thomas Stoeger

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

4 authors.

Reese Ak RichardsonInterdisciplinary Biological Sciences, Northwestern University.
Heliodoro Tejedor NavarroDepartment of Chemical and Biological Engineering, Northwestern University.
Luis A Nunes AmaralDepartment of Chemical and Biological Engineering, Northwestern University.
Thomas StoegerDepartment of Chemical and Biological Engineering, Northwestern University.

Funding

Technology CoreU19AI135964 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI RICHARD G WUNDERINK · 2018 to 2026
$24.7M
Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
Integrative Multi-Scale Systems Analysis of Gene-Expression-Driven Aging MorbidityR00AG068544 · NIA · NORTHWESTERN UNIVERSITY · PI Thomas Stoeger · 2024 to 2026
$720k
Integrative Multi-Scale Systems Analysis of Gene-Expression-Driven Aging Morbidity - SupplementK99AG068544 · NIA · NORTHWESTERN UNIVERSITY · PI STOEGER, THOMAS · 2020 to 2022
$280k
NIAID NIH HHS U19 AI135964NIA NIH HHS K99 AG068544NIA NIH HHS R00 AG068544NIGMS NIH HHS T32 GM008449
6 · The paper itself

Abstract

Present-day publications on human genes primarily feature genes that already appeared in many publications prior to completion of the Human Genome Project in 2003. These patterns persist despite the subsequent adoption of high-throughput technologies, which routinely identify novel genes associated with biological processes and disease. Although several hypotheses for bias in the selection of genes as research targets have been proposed, their explanatory powers have not yet been compared. Our analysis suggests that understudied genes are systematically abandoned in favor of better-studied genes between the completion of -omics experiments and the reporting of results. Understudied genes remain abandoned by studies that cite these -omics experiments. Conversely, we find that publications on understudied genes may even accrue a greater number of citations. Among 45 biological and experimental factors previously proposed to affect which genes are being studied, we find that 33 are significantly associated with the choice of hit genes presented in titles and abstracts of - omics studies. To promote the investigation of understudied genes we condense our insights into a tool,

Identifiers

PMID36909550
PMCPMC10002660

What OpenQuestion holds

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Registered trials

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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.