Evidence map›Paper›PMID 40233741›Full record

ReviewAmerican journal of human genetics2025

Structural biology in variant interpretation: Perspectives and practices from two studies.

Matthew J Varga, Marcy E Richardson, Adam Chamberlin

Abstract readReview
In one paragraph

Review in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Foldify: Web Application for Protein Structure Prediction.Journal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. The Performance ofHuman mutation · 2026
    Article
  5. Comprehensively Testing the Function of Missense Variation in thebioRxiv : the preprint server for biology · 2025
    Article
  6. Article
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.

Matthew J VargaAmbry Genetics, Aliso Viejo, CA, USA.
Marcy E RichardsonAmbry Genetics, Aliso Viejo, CA, USA. Electronic address: mrichardson@ambrygen.com.
Adam ChamberlinAmbry Genetics, Aliso Viejo, CA, USA. Electronic address: achamberlin@ambrygen.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural biology offers a powerful lens through which to assess genetic variants by providing insights into their impact on clinically relevant protein structure and function. Due to the availability of new, user-friendly, web-based tools, structural analyses by wider audiences have become more mainstream. These new tools, including AlphaMissense and AlphaFold, have recently been in the limelight due to their initial success and projected future promise; however, the intricacies and limitations of using these tools still need to be disseminated to the more general audience that is likely to use them in variant analysis. Here, we expound on frameworks applying structural biology to variant interpretation by examining two accompanying articles. To this end, we explore the nuances of choosing the correct protein model, compare and contrast various structural approaches, and highlight both the advantages and limitations of employing structural biology in variant interpretation. Using two articles published in this issue of The American Journal of Human Genetics as a baseline, we focus on case studies in TP53 and BRCA1 to illuminate gene-specific differences in the applications of structural information, which illustrate the complexities inherent in this field. Additionally, we discuss the implications of recent advancements, such as AlphaFold, and provide practical guidance for researchers navigating variant interpretation using structural biology.

Indexed as

BRCA1 ProteinGenetic VariationTumor Suppressor Protein p53HumansModels, MolecularProtein ConformationBRCA1 ProteinBRCA1 protein, humanTP53 protein, humanTumor Suppressor Protein p53genetic counselinggenetic genomic resourcesmolecular effects of genomic variantsstructural biologyvariant interpretation

Identifiers

PMID40233741
PMCPMC12120175

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.