Evidence map›Paper›PMID 38436667›Full record

ReviewHuman genetics2024

Functional categorization of gene regulatory variants that cause Mendelian conditions.

Y H Hank Cheng, Stephanie C Bohaczuk, Andrew B Stergachis

Open access · hybridAbstract readReview
In one paragraph

Review in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. AJournal of human immunity · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. 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 at 2 institutions in 1 country.

Y H Hank ChengDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7686-0697
Stephanie C BohaczukDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8802-6579
Andrew B StergachisDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA. absterga@uw.edu.ORCID http://orcid.org/0000-0002-1299-3674
University of Washington · USUniversity of Washington Medical Center · US

Funding

Northwest Genomics Center for All of UsOT2OD002748 · OD · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN, JARVIK, GAIL PAIRITZ · 2018 to 2023
$65.4M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Medical Genetics Training GrantT32GM007454 · NIGMS · UNIVERSITY OF WASHINGTON · PI Gail Pairitz Jarvik, Andrew Ben Stergachis · 1985 to 2026
$6.9M
NIGMS NIH HHS T32 GM007266NIGMS NIH HHS T32GM007266NIGMS NIH HHS T32 GM007454NIH HHS OT2 OD002748NIH HHS OT2OD002748NIH HHS T32GM007454
6 · The paper itself

Abstract

Much of our current understanding of rare human diseases is driven by coding genetic variants. However, non-coding genetic variants play a pivotal role in numerous rare human diseases, resulting in diverse functional impacts ranging from altered gene regulation, splicing, and/or transcript stability. With the increasing use of genome sequencing in clinical practice, it is paramount to have a clear framework for understanding how non-coding genetic variants cause disease. To this end, we have synthesized the literature on hundreds of non-coding genetic variants that cause rare Mendelian conditions via the disruption of gene regulatory patterns and propose a functional classification system. Specifically, we have adapted the functional classification framework used for coding variants (i.e., loss-of-function, gain-of-function, and dominant-negative) to account for features unique to non-coding gene regulatory variants. We identify that non-coding gene regulatory variants can be split into three distinct categories by functional impact: (1) non-modular loss-of-expression (LOE) variants; (2) modular loss-of-expression (mLOE) variants; and (3) gain-of-ectopic-expression (GOE) variants. Whereas LOE variants have a direct corollary with coding loss-of-function variants, mLOE and GOE variants represent disease mechanisms that are largely unique to non-coding variants. These functional classifications aim to provide a unified terminology for categorizing the functional impact of non-coding variants that disrupt gene regulatory patterns in Mendelian conditions.

Indexed as

Genetic VariationGene Expression RegulationGenetic Diseases, InbornGenetic Predisposition to DiseaseHumans

Identifiers

PMID38436667
PMCPMC11078748
OpenAlexW4392378432

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.