Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 577

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Heterozygous STAT1 gain-of-function mutations underlie an unexpectedly broad clinical phenotype

Open access
Toubiana, Julie, Okada, Satoshi, Hiller, Julia, Oleastro, Matias, Lagos Gomez, Macarena, Aldave Becerra, Juan Carlos, Ouachée-Chardin, Marie, Fouyssac, Fanny, Girisha, Katta Mohan, Etzioni, Amos, Van Montfrans, Joris, Camcioglu, Yildiz, Kerns, Leigh Ann, Belohradsky, Bernd, Blanche, Stéphane, Bousfiha, Aziz, Rodriguez-Gallego, Carlos, Meyts, Isabelle, Kisand, Kai, Reichenbach, Janine, Renner, Ellen D., Rosenzweig, Sergio, Grimbacher, Bodo, van de Veerdonk, Frank L., Traidl-Hoffmann, Claudia, Picard, Capucine, Marodi, Laszlo, Morio, Tomohiro, Kobayashi, Masao, Lilic, Desa, Milner, Joshua D., Holland, Steven, Casanova, Jean-Laurent, Puel, Anne·2016·Blood

Abstract

Key Points: AD STAT1 GOF is the most common genetic cause of inherited CMC and is not restricted to a specific age or ethnic group. STAT1 GOF underlies a variety of infectious and autoimmune features, as well as carcinomas and aneurysms associated with a poor outcome.

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 · 10.1182/blood-2015-11-679902

Cites

74 of 74 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

1 retracted

Show all 74 references

Cited by

See all 577

Metadata

Authors
Toubiana, J., Okada, S., Hiller, J., Oleastro, M., Lagos Gomez, M., Aldave Becerra, J. C., Ouachée-Chardin, M., Fouyssac, F., Girisha, K. M., Etzioni, A., Van Montfrans, J., Camcioglu, Y., Kerns, L. A., Belohradsky, B., Blanche, S., Bousfiha, A., Rodriguez-Gallego, C., Meyts, I., Kisand, K., Reichenbach, J., Renner, E. D., Rosenzweig, S., Grimbacher, B., van de Veerdonk, F. L., Traidl-Hoffmann, C., Picard, C., Marodi, L., Morio, T., Kobayashi, M., Lilic, D., Milner, J. D., Holland, S., Casanova, J.-L., & Puel, A.
Venue
Blood
Published
2016-06-23
Volume
127
Issue
25
Pages
3154-3164
ISSN
  • 0006-4971 (ISSN-L)
  • 1528-0020
OpenAlex
W2467020097
Cited by
577
References
74
FWCI
29.78
Type
journal article
Language
en
Open access
bronze

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: Heterozygous STAT1 gain-of-function mutations underlie an unexpectedly broad clinical phenotype. https://app.cochat.ai/papers/10.1182/blood-2015-11-679902
The paper
Toubiana, J., Okada, S., Hiller, J., Oleastro, M., Lagos Gomez, M., Aldave Becerra, J. C., Ouachée-Chardin, M., Fouyssac, F., Girisha, K. M., Etzioni, A., Van Montfrans, J., Camcioglu, Y., Kerns, L. A., Belohradsky, B., Blanche, S., Bousfiha, A., Rodriguez-Gallego, C., Meyts, I., Kisand, K., . . . Puel, A. (2016). Heterozygous STAT1 gain-of-function mutations underlie an unexpectedly broad clinical phenotype. Blood. https://doi.org/10.1182/blood-2015-11-679902

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.