Evidence map›Paper›PMID 35047852›Full record

ArticleHGG advances2022

From GWAS variant to function: A study of ∼148,000 variants for blood cell traits.

Quan Sun, Cheynna A Crowley, Le Huang, Jia Wen, Jiawen Chen, Erik L Bao, Paul L Auer, Guillaume Lettre, Alexander P Reiner, Vijay G Sankaran and 2 more

Open access · goldAbstract read
In one paragraph

Article in HGG advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  11. Immuno-Modulatory Effects of Intervertebral Disc Cells.Frontiers in cell and developmental biology · 2022
    Review
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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

12 authors at 5 institutions in 2 countries.

Quan SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Cheynna A CrowleyDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Le HuangCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jia WenDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jiawen ChenDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Erik L BaoDivision of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Paul L AuerZilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Guillaume LettreMontreal Heart Institute, Montreal, QC, Canada.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Vijay G SankaranDivision of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yun LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · USBroad Institute · USMontreal Heart Institute · CAUniversity of Washington · USUniversity of Wisconsin–Milwaukee · US

Funding

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
Systematic Genetic Dissection of Human ErythropoiesisR01DK103794 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Vijay Ganesh Sankaran · 2014 to 2026
$5.9M
Next generation functional genomics of hematology traitsR01HL146500 · NHLBI · UNIVERSITY OF WASHINGTON · PI ALEXANDER P REINER · 2020 to 2026
$5.7M
Statistical Methods for RNA-seq Data AnalysisR01GM105785 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wei Sun · 2014 to 2026
$4.6M
Charting the 3D epigenome in human brain development and diseasesU01DA052713 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRIEGSTEIN, ARNOLD, SHEN, YIN · 2020 to 2024
$3.4M
Genetic Studies of Blood Cell Traits in Multi-Ethnic CohortsR01HL129132 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN, REINER, ALEXANDER P · 2016 to 2019
$2.7M
NCATS NIH HHS KL2 TR002490NHLBI NIH HHS R01 HL129132NHLBI NIH HHS R01 HL146500NIDA NIH HHS U01 DA052713NIDDK NIH HHS R01 DK103794NIGMS NIH HHS R01 GM105785
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified hundreds of thousands of genetic variants associated with complex diseases and traits. However, most variants are noncoding and not clearly linked to genes, making it challenging to interpret these GWAS signals. We present a systematic variant-to-function study, prioritizing the most likely functional elements of the genome for experimental follow-up, for >148,000 variants identified for hematological traits. Specifically, we developed VAMPIRE: Variant Annotation Method Pointing to Interesting Regulatory Effects, an interactive web application implemented in R Shiny. This tool efficiently integrates and displays information from multiple complementary sources, including epigenomic signatures from blood-cell-relevant tissues or cells, functional and conservation summary scores, variant impact on protein and gene expression, chromatin conformation information, as well as publicly available GWAS and phenome-wide association study (PheWAS) results. Leveraging data generated from independently performed functional validation experiments, we demonstrate that our prioritized variants, genes, or variant-gene links are significantly more likely to be experimentally validated. This study not only has important implications for systematic and efficient revelation of functional mechanisms underlying GWAS variants for hematological traits but also provides a prototype that can be adapted to many other complex traits, paving the path for efficient variant-to-function (V2F) analyses.

Indexed as

blood cell traitsexperimental validationsfunctional annotationsgenome-wide association studiesvariant to function

Identifiers

PMID35047852
PMCPMC8756514
OpenAlexW3207046163

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.