Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 249

The DOI matches its Crossref record.

Assay of locus-specific genetic load implicates rare Toll-like receptor 4 mutations in meningococcal susceptibility

Open access
Smirnova, Irina, Mann, Navjiwan, Dols, Annemiek, Derkx, H. H., Hibberd, Martin L., Levin, Michael, Beutler, Bruce·2003·Proceedings of the National Academy of Sciences

Abstract

As the central component of the human endotoxin sensor, Toll-like receptor 4 (TLR4) functions in the early detection and response to Gram-negative infection. We therefore examined a large collection of patients with meningococcal sepsis, comparing the frequency of rare TLR4 coding changes to those in an ethnically matched control population. TLR2 sequences were also acquired and compared. Total nucleotide variation at TLR4 and TLR2 loci was assayed by using a novel computational method. A total of 3.01 megabases of coding sequence was captured at these loci from white subjects with or without meningococcal disease. Authentic mutations were found and high-quality, bidirectional coverage was measured across the coding region by using mutationseeker , a program specifically designed to assay locus-specific genetic load. Using a method that obviates the confounding effect of linkage disequilibrium, we observed that rare heterozygous missense mutations of TLR4 contribute to the development of systemic meningococcal disease among white populations of the southern United Kingdom ( P = 0.02; odds ratio 8.2). When results from all white populations were pooled, an overwhelmingly significant excess of such mutations was observed among individuals with disease ( P = 2 × 10 −6 ; odds ratio 27.0). The common white TLR4 variant (TLR4B), synonymous TLR4 substitutions, and variant TLR2 alleles were not significantly over-represented among patients with systemic meningococcal infections. No single variant of TLR4 was significantly over-represented in the meningococcal population. Collectively, however, rare TLR4 coding variants were markedly over-represented. Sensing via TLR4 probably contributes to the early containment of meningococcal infection, and sensing defects create increased risk of disease.

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 · 10.1073/pnas.1031605100

Cites

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

Cited by

See all 249

Metadata

Authors
Smirnova, I., Mann, N., Dols, A., Derkx, H. H., Hibberd, M. L., Levin, M., & Beutler, B.
Venue
Proceedings of the National Academy of Sciences
Published
2003-05-02
Volume
100
Issue
10
Pages
6075-6080
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2133700480
Cited by
249
References
0
FWCI
19.73
Type
journal article
Language
en
Open access
green

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: Assay of locus-specific genetic load implicates rare Toll-like receptor 4 mutations in meningococcal susceptibility. https://app.cochat.ai/papers/10.1073/pnas.1031605100
The paper
Smirnova, I., Mann, N., Dols, A., Derkx, H. H., Hibberd, M. L., Levin, M., & Beutler, B. (2003). Assay of locus-specific genetic load implicates rare Toll-like receptor 4 mutations in meningococcal susceptibility. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1031605100

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.