Evidence map›Paper›PMID 41969609›Full record

ArticleHuman mutation2026

Assessing Allele Frequency Information: A Study of Variant Curation Expert Panel Guidelines.

Xiaoyan Wang, Tongmei Zhang, Yayun Qin, Yongyi Zou, Haiyan Luo, Haibo Li, Jieping Song

Abstract read
In one paragraph

Article in Human mutation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xiaoyan WangMedical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, China.ORCID https://orcid.org/0009-0008-8319-0335
Tongmei ZhangDepartment of Histology and Embryology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, hust.edu.cn.ORCID https://orcid.org/0000-0002-5973-5795
Yayun QinMedical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, China.
Yongyi ZouDepartment of Medical Genetics, Jiangxi Maternal and Child Health Hospital, Nanchang, China, jxsfybjyy.cn.ORCID https://orcid.org/0000-0001-5869-7988
Haiyan LuoDepartment of Medical Genetics, Jiangxi Maternal and Child Health Hospital, Nanchang, China, jxsfybjyy.cn.ORCID https://orcid.org/0009-0004-3741-7800
Haibo LiThe Central Laboratory of Birth Defects Prevention and Control, Ningbo Women and Children's Hospital, Ningbo, China.ORCID https://orcid.org/0000-0002-9309-6632
Jieping SongMedical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, China.ORCID https://orcid.org/0000-0001-5926-9037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The 2015 guidelines recommend using a large, diverse, and race-matched reference database. However, defining expectations in this context is subjective due to factors like genetic diversity and penetrance. ClinGen forms VCEPs to provide gene-specific interpretations of ACMG/AMP guidelines, including population information. Our study evaluates VCEP guidelines on allele frequency information. Methods: We analyzed genetic codes in databases to determine the frequency and potential pathogenicity of variants among 39 VCEPs, considering factors like allele frequency thresholds and disease prevalence. Results: Our analysis found a variety of approved cutoffs among VCEPs, showing diverse disease mechanisms. We also noted variability in methods used to establish cutoffs and inconsistencies in parameters deemed necessary for approved thresholds. Conclusions: Understanding thresholds requires knowledge of genetics and diseases. VCEP guidelines on allele frequency evidence can help curators identify recommended thresholds. However, more guidance is needed for consistency in population evidence utilization.

Indexed as

Gene FrequencyGenetic VariationAllelesDatabases, GeneticGuidelines as TopicHumansPenetrance

Identifiers

PMID41969609
PMCPMC13069149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.