Evidence map›Paper›PMID 39749501›Full record

ReviewClinical chemistry2025

Standardization of Genomic Nomenclature across a Diverse Ecosystem of Stakeholders: Evolution and Challenges.

Laura K Conlin, Melissa J Landrum, Robert R Freimuth, Birgit Funke

Abstract readReview
In one paragraph

Review in Clinical chemistry, 2025. 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

4 authors.

Laura K ConlinDepartment of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Melissa J LandrumNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, United States.
Robert R FreimuthDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.
Birgit FunkeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Integrated Knowledge Management Framework for Clinical GenomicsR35HG011899 · NHGRI · MAYO CLINIC ROCHESTER · PI FREIMUTH, ROBERT RICHARD · 2021 to 2025
$2.4M
National Center for Biotechnology Information of the National Library of MedicineNHGRI NIH HHS R35 HG011899NIH HHS R35HG011899
6 · The paper itself

Abstract

backgroundGenetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large "megabase level" copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic "small variants" such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications. The boundaries between these approaches are now increasingly blurred as next-generation sequencing technologies and their use for genome-wide analysis are used by both disciplines, therefore eliminating the historic and somewhat artificial separation driven by variant type. CONTENT: This review discusses the history of genomic nomenclature across both fields, summarizes implementation challenges for the clinical genetics community, and identifies key considerations for enabling a seamless connection of the stakeholders that consume variant descriptions. SUMMARY: Standardization is naturally a lengthy and complex process that requires consensus building between different stakeholders. Developing a standard that not only fits the multitude of needs across the entities that consume genetic variant information but also works equally well for all genetic variant types is an ambitious goal that calls for revisiting this vision.

Indexed as

Terminology as TopicGenetic TestingGenomicsHumans

Identifiers

PMID39749501
PMCPMC11695870

What OpenQuestion holds

Textmetadata
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.