Evidence map›Paper›PMID 36997428›Full record

ReviewTrends in genetics : TIG2023

Functional characterization of human genomic variation linked to polygenic diseases.

Tania Fabo, Paul Khavari

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. AnGenes · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. ArXiv · 2024
    Article
  17. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  18. Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Tania FaboProgram in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
Paul KhavariProgram in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA. Electronic address: khavari@stanford.edu.
Stanford University · US

Funding

Regulatory Variants in HUMAN SKIN DISEASESR01AR076965 · NIAMS · STANFORD UNIVERSITY · PI PAUL KHAVARI · 2020 to 2026
$3.6M
Atlas of Regulatory Variants in Diseases (ARVID)U24HG010856 · NHGRI · STANFORD UNIVERSITY · PI KHAVARI, PAUL · 2020 to 2024
$3.3M
REGULATORS OF EPITHELIAL TUMOR PROGRESSIONI01BX001409 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI KHAVARI, PAUL · 2012 to 2025
–
BLRD VA I01 BX001409NHGRI NIH HHS U24 HG010856NIAMS NIH HHS R01 AR076965
6 · The paper itself

Abstract

The burden of human disease lies predominantly in polygenic diseases. Since the early 2000s, genome-wide association studies (GWAS) have identified genetic variants and loci associated with complex traits. These have ranged from variants in coding sequences to mutations in regulatory regions, such as promoters and enhancers, as well as mutations affecting mediators of mRNA stability and other downstream regulators, such as 5' and 3'-untranslated regions (UTRs), long noncoding RNA (lncRNA), and miRNA. Recent research advances in genetics have utilized a combination of computational techniques, high-throughput in vitro and in vivo screening modalities, and precise genome editing to impute the function of diverse classes of genetic variants identified through GWAS. In this review, we highlight the vastness of genomic variants associated with polygenic disease risk and address recent advances in how genetic tools can be used to functionally characterize them.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceGenetic Predisposition to DiseaseGenetic VariationGenomicsHumanschromatin capturecolocalizationCRISPRGWAS variantsMPRA

Identifiers

PMID36997428
PMCPMC11025698
OpenAlexW4361208630

What OpenQuestion holds

Textmetadata
LicenceTDM
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.