Evidence map›Paper›PMID 18563168›Full record

ArticleGenes and immunity2008

Sex differences in the genetic architecture of susceptibility to Cryptococcus neoformans pulmonary infection.

S F Carroll, J C Loredo Osti, L Guillot, K Morgan, S T Qureshi

Abstract read
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In one paragraph

Article in Genes and immunity, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Inbred Mouse Models inJournal of fungi (Basel, Switzerland) · 2024
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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

5 authors at 3 institutions in 1 country.

S F CarrollCentre for the Study of Host Resistance, McGill University, Montreal, Quebec, Canada.
J C Loredo Osti
L Guillot
K Morgan
S T Qureshi
McGill University · CAMemorial University of Newfoundland · CAMontreal General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptococcus neoformans is a major cause of fungal pneumonia, meningitis and disseminated disease in the immune compromised host. Here we have used a clinically relevant model to investigate the genetic determinants of susceptibility to progressive cryptococcal pneumonia in C57BL/6J and CBA/J inbred mice. At 5 weeks after infection, the lung fungal burden was over 1000-fold higher in C57BL/6J compared to CBA/J mice. A genome-wide scan performed on 210 male and 203 female (CBA/J x C57BL/6J) F2 progeny using lung colony-forming units as a quantitative trait revealed a sex difference in genetic architecture with three loci (designated Cnes1-Cnes3) associated with susceptibility to cryptococcal pneumonia. Single locus analysis identified significant loci on chromosomes 3 (Cnes1) and 17 (Cnes2) with logarithm of the odds (LOD) scores of 4.09 (P=0.0110) and 7.30 (P<0.0001) that explained 8.9 and 15.9% of the phenotypic variance, respectively, in female CBAB6F2 and one significant locus on chromosome 17 (Cnes3) with a LOD score of 4.04 (P=0.010) that explained 8.6% of the phenotypic variance in male CBAB6F2 mice. Genome-wide pair-wise analysis revealed significant quantitative trait locus interactions in both the female and male CBAB6F2 progeny that collectively explained 43.8 and 19.5% of phenotypic variance in each sex, respectively.

Indexed as

Genetic Predisposition to DiseaseAnimalsCryptococcosisCryptococcus neoformansFemaleImmunity, InnateLungMaleMiceMice, Inbred C57BLMice, Inbred CBAPneumoniaQuantitative Trait, HeritableSex Characteristics

Identifiers

PMID18563168
OpenAlexW2025405117

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.