Evidence map›Paper›PMID 37547663›Full record

ArticleArXiv2023

The Impact of Genomic Variation on Function (IGVF) Consortium.

IGVF Consortium

Abstract readPreprint
In one paragraph

Article in ArXiv, 2023. 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

1 author.

IGVF Consortium

Funding

Support for the use and evaluation of large cloud-based genomic datasets.U24HG012012 · NHGRI · STANFORD UNIVERSITY · PI Mark Bender Gerstein, Benjamin Hitz · 2021 to 2026
$23.0M
Single-cell Mapping Center for Human Regulatory Elements and Gene ActivityUM1HG012076 · NHGRI · STANFORD UNIVERSITY · PI Michael Ryan Corces, Ansuman Satpathy · 2021 to 2026
$13.8M
Center for Mouse Genomic Variation at Single Cell ResolutionUM1HG012077 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Seyed Ali Mortazavi, BARBARA J WOLD · 2021 to 2026
$13.7M
A Foundational Resource of Functional Elements, TF footprints and Gene Regulatory InteractionsUM1HG011986 · NHGRI · BROAD INSTITUTE, INC. · PI BRADLEY Evan BERNSTEIN, Jason Daniel Buenrostro · 2021 to 2026
$13.3M
High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular PhenotypesUM1HG012053 · NHGRI · DUKE UNIVERSITY · PI GREGORY E CRAWFORD, Charles A. Gersbach · 2021 to 2026
$10.7M
Stanford Center for Connecting DNA Variants to Function and PhenotypeUM1HG011972 · NHGRI · STANFORD UNIVERSITY · PI JESSE M ENGREITZ, THOMAS QUERTERMOUS · 2021 to 2026
$10.5M
Multiscale functional characterization of genomic variation in human developmental disordersUM1HG011996 · NHGRI · UT SOUTHWESTERN MEDICAL CENTER · PI Gary Chung Hon, WILLIAM Lee KRAUS · 2021 to 2026
$10.5M
Dose-Dependent Effects of Hormone on the Activity of Estrogen Receptor Enhancers and Target GenesR01DK058110 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI WILLIAM Lee KRAUS · 2000 to 2026
$10.4M
Comprehensive characterization of variants underlying heart and blood diseases with CRISPR base editingUM1HG012010 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Daniel Evan Bauer, Luca Pinello · 2021 to 2026
$10.4M
The Center for Actionable Variant Analysis; measuring variant function at scaleUM1HG011969 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Lea Starita · 2021 to 2026
$9.9M
Systematic in vivo characterization of disease-associated regulatory variantsUM1HG012003 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, KAREN L. MOHLKE · 2021 to 2026
$9.9M
Molecular phenotyping of ~100,000 coding variants across Mendelian disease genesUM1HG011989 · NHGRI · DANA-FARBER CANCER INST · PI Marc Vidal · 2021 to 2026
$9.9M
NCI NIH HHS R01 CA197774NHGRI NIH HHS U01 HG011952NHGRI NIH HHS U01 HG011967NHGRI NIH HHS U01 HG012009NHGRI NIH HHS U01 HG012022NHGRI NIH HHS U01 HG012039NHGRI NIH HHS U01 HG012041NHGRI NIH HHS U01 HG012047NHGRI NIH HHS U01 HG012051NHGRI NIH HHS U01 HG012059NHGRI NIH HHS U01 HG012064NHGRI NIH HHS U01 HG012069NHGRI NIH HHS U01 HG012079NHGRI NIH HHS U01 HG012103NHGRI NIH HHS U24 HG012012NHGRI NIH HHS U24 HG012070NHGRI NIH HHS UM1 HG011966NHGRI NIH HHS UM1 HG011969NHGRI NIH HHS UM1 HG011972NHGRI NIH HHS UM1 HG011986NHGRI NIH HHS UM1 HG011989NHGRI NIH HHS UM1 HG011996NHGRI NIH HHS UM1 HG012003NHGRI NIH HHS UM1 HG012010NHGRI NIH HHS UM1 HG012053NHGRI NIH HHS UM1 HG012076NHGRI NIH HHS UM1 HG012077NIDDK NIH HHS R01 DK058110
6 · The paper itself

Abstract

Our genomes influence nearly every aspect of human biology from molecular and cellular functions to phenotypes in health and disease. Human genetics studies have now associated hundreds of thousands of differences in our DNA sequence ("genomic variation") with disease risk and other phenotypes, many of which could reveal novel mechanisms of human biology and uncover the basis of genetic predispositions to diseases, thereby guiding the development of new diagnostics and therapeutics. Yet, understanding how genomic variation alters genome function to influence phenotype has proven challenging. To unlock these insights, we need a systematic and comprehensive catalog of genome function and the molecular and cellular effects of genomic variants. Toward this goal, the Impact of Genomic Variation on Function (IGVF) Consortium will combine approaches in single-cell mapping, genomic perturbations, and predictive modeling to investigate the relationships among genomic variation, genome function, and phenotypes. Through systematic comparisons and benchmarking of experimental and computational methods, we aim to create maps across hundreds of cell types and states describing how coding variants alter protein activity, how noncoding variants change the regulation of gene expression, and how both coding and noncoding variants may connect through gene regulatory and protein interaction networks. These experimental data, computational predictions, and accompanying standards and pipelines will be integrated into an open resource that will catalyze community efforts to explore genome function and the impact of genetic variation on human biology and disease across populations.

Identifiers

PMID37547663
PMCPMC10402186

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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.