Evidence map›Paper›PMID 39371150›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Variance quantitative trait loci reveal gene-gene interactions which alter blood traits.

Yash Pershad, Hannah Poisner, Robert W Corty, Jacklyn N Hellwege, Alexander G Bick

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

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

5 authors.

Yash PershadVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-2282-1403
Hannah PoisnerVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0003-1652-3642
Robert W CortyVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-6787-9051
Jacklyn N HellwegeVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-7479-0920
Alexander G BickVanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-5824-9595

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Targeting Clonal Hematopoiesis of Indeterminate Potential Using Human GeneticsDP5OD029586 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BICK, ALEXANDER · 2020 to 2024
$2.3M
Building Interdisciplinary Research Careers in Women's HealthK12AR084232 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI AMY S MAJOR, Digna R Velez Edwards · 2023 to 2026
$1.3M
NIAMS NIH HHS K12 AR084232NIGMS NIH HHS T32 GM007347NIH HHS DP5 OD029586
6 · The paper itself

Abstract

Gene-gene (GxG) interactions play an important role in human genetics, potentially explaining part of the "missing heritability" of polygenic traits and the variable expressivity of monogenic traits. Many GxG interactions have been identified in model organisms through experimental breeding studies, but they have been difficult to identify in human populations. To address this challenge, we applied two complementary variance QTL (vQTL)-based approaches to identify GxG interactions that contribute to human blood traits and blood-related disease risk. First, we used the previously validated genome-wide scale test for each trait in ~450,000 people in the UK Biobank and identified 4 vQTLs. Genome-wide GxG interaction testing of these vQTLs enabled discovery of novel interactions between (1)

Identifiers

PMID39371150
PMCPMC11451758

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.