Evidence map›Paper›PMID 33691767›Full record

ReviewGenome medicine2021

Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation.

Shuquan Rao, Yao Yao, Daniel E Bauer

Abstract readReview
In one paragraph

Review in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  8. A review of post-GWAS studies in schizophrenia.Translational psychiatry · 2025
    Review
  9. Article
  10. Review
  11. Article
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  13. Integrative approaches to m6A and m5C RNA modifications in autism spectrum disorder revealing potential causal variants.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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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

3 authors.

Shuquan Rao *Division of Hematology/Oncology, Boston Children's Hospital; Department of Pediatric Oncology, Dana-Farber Cancer Institute; Harvard Stem Cell Institute; Broad Institute; Department of Pediatrics, Harvard Medical School, Boston, MA, USA. shuquan.rao@gmail.com.ORCID 0000-0003-4281-2392
Yao Yao *Division of Hematology/Oncology, Boston Children's Hospital; Department of Pediatric Oncology, Dana-Farber Cancer Institute; Harvard Stem Cell Institute; Broad Institute; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Daniel E BauerDivision of Hematology/Oncology, Boston Children's Hospital; Department of Pediatric Oncology, Dana-Farber Cancer Institute; Harvard Stem Cell Institute; Broad Institute; Department of Pediatrics, Harvard Medical School, Boston, MA, USA. daniel.bauer@childrens.harvard.edu.

Funding

TRANSCRIPTION FACTOR GATA-1 IN TERMINAL ERYTHROID DEVELOPMENTP01HL032262 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI ORKIN, STUART H · 1985 to 2021
$38.9M
High-throughput discovery of essential noncoding sequences for erythropoiesisDP2HL137300 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI BAUER, DANIEL EVAN · 2016 to 2016
$2.7M
NHLBI NIH HHS DP2 HL137300NHLBI NIH HHS P01 HL032262
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have uncovered thousands of genetic variants that influence risk for human diseases and traits. Yet understanding the mechanisms by which these genetic variants, mainly noncoding, have an impact on associated diseases and traits remains a significant hurdle. In this review, we discuss emerging experimental approaches that are being applied for functional studies of causal variants and translational advances from GWAS findings to disease prevention and treatment. We highlight the use of genome editing technologies in GWAS functional studies to modify genomic sequences, with proof-of-principle examples. We discuss the challenges in interrogating causal variants, points for consideration in experimental design and interpretation of GWAS locus mechanisms, and the potential for novel therapeutic opportunities. With the accumulation of knowledge of functional genetics, therapeutic genome editing based on GWAS discoveries will become increasingly feasible.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyEpigenesis, GeneticGene EditingHumansQuantitative Trait LociCRISPR/CasGenome editingGWASHigh throughput

Identifiers

PMID33691767
PMCPMC7948363

What OpenQuestion holds

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LicenceCC BY
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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.