Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 341

The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.

Human inborn errors of immunity: 2024 update on the classification from the International Union of Immunological Societies Expert Committee

Open access
Poli, M. Cecilia, Aksentijevich, Ivona, Bousfiha, Ahmed Aziz, Cunningham-Rundles, Charlotte, Hambleton, Sophie, Klein, Christoph, Morio, Tomohiro, Picard, Capucine, Puel, Anne, Rezaei, Nima, Seppänen, Mikko R.J., Somech, Raz, Su, Helen C., Sullivan, Kathleen E., Torgerson, Troy R., Meyts, Isabelle, Tangye, Stuart G.·2025·Journal of Human Immunity

Abstract

This report provides an updated classification of inborn errors of immunity (IEIs) involving 508 different genes and 17 phenocopies. Of these, we report 67 novel monogenic defects and 2 phenocopies due to neutralizing anti-cytokine autoantibodies or somatic mutations, which either have been discovered since the previous update (published June 2022) or were reported earlier but have been recently confirmed and/or expanded. The new additions were made after rigorous review of new genetic descriptions of IEIs by the International Union of Immunological Societies (IUIS) Expert Committee using criteria established to define IEI. Although similar pathogenic variants in one gene, in terms of both classes of mutation (missense, nonsense, etc.) and impact on protein function, can result in a spectrum of phenotypic manifestations, they are herein classified according to the most consistently reported phenotype. In addition, because different variants in a single gene can result in recognizable diseases due to gain or loss of function, such cases are classified according to their clinical manifestations as a distinct entry in the same or a different table depending on the associated phenotype. This report will serve as a valuable resource for clinical immunologists and geneticists involved in the molecular diagnosis of individuals with heritable and acquired immunological disorders. Moreover, we expect this report to also serve as a valuable resource for all disciplines of medicine, since patients with IEIs may be first seen by rheumatologists, hematologists, allergists, dermatologists, neurologists, gastroenterologists, and pulmonologists, depending upon their spectrum of presenting clinical features. Finally, expanding the known monogenic and related causes of human immune diseases requires dissection of underlying cellular and molecular mechanisms, which reveals fundamental requirements for specific genes, pathways, processes, and even cell types. Such knowledge may not only contribute to improved patient diagnosis and management but also pave the way to the development and implementation of therapies that target the cause—rather than the symptoms—of these conditions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.70962/jhi.20250003

Cites

106 of 106 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 106 references

Cited by

See all 341

Metadata

Authors
Poli, M. C., Aksentijevich, I., Bousfiha, A. A., Cunningham-Rundles, C., Hambleton, S., Klein, C., Morio, T., Picard, C., Puel, A., Rezaei, N., Seppänen, M. R. J., Somech, R., Su, H. C., Sullivan, K. E., Torgerson, T. R., Meyts, I., & Tangye, S. G.
Venue
Journal of Human Immunity
Published
2025-04-15
Volume
1
Issue
1
Pages
e20250003-e20250003
ISSN
3065-8993 (ISSN-L)
OpenAlex
W4409474117
Cited by
341
References
106
FWCI
101.65
Type
journal article
Language
en
Open access
diamond

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Human inborn errors of immunity: 2024 update on the classification from the International Union of Immunological Societies Expert Committee. https://app.cochat.ai/papers/10.70962/jhi.20250003
The paper
Poli, M. C., Aksentijevich, I., Bousfiha, A. A., Cunningham-Rundles, C., Hambleton, S., Klein, C., Morio, T., Picard, C., Puel, A., Rezaei, N., Seppänen, M. R. J., Somech, R., Su, H. C., Sullivan, K. E., Torgerson, T. R., Meyts, I., & Tangye, S. G. (2025). Human inborn errors of immunity: 2024 update on the classification from the International Union of Immunological Societies Expert Committee. Journal of Human Immunity. https://doi.org/10.70962/jhi.20250003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.