ReviewAutoimmunity reviews2013
Chipping away at a mountain: genomic studies in common variable immunodeficiency.
Review in Autoimmunity reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Inborn Errors of Immunity and Cancer.Biology · 2021Review
- Gut Antibody Deficiency in a Mouse Model of CVID Results in Spontaneous Development of a Gluten-Sensitive Enteropathy.Frontiers in immunology · 2019Article
- Assessing the Functional Relevance of Variants in theFrontiers in immunology · 2019Article
- Phenotypic characterization of patients with rheumatologic manifestations of common variable immunodeficiency.Seminars in arthritis and rheumatism · 2018Article
- Chronic Diarrhea in Common Variable Immunodeficiency: a Case Series and Review of the Literature.Journal of clinical immunology · 2018Review
- Dysregulation of Innate Lymphoid Cells in Common Variable Immunodeficiency.Current allergy and asthma reports · 2017Review
- TP53 mutation-mediated genomic instability induces the evolution of chemoresistance and recurrence in epithelial ovarian cancer.Diagnostic pathology · 2017Article
- Autoimmune and Lymphoproliferative Complications of Common Variable Immunodeficiency.Current allergy and asthma reports · 2016Review
- Bone marrow transcriptome and epigenome profiles of equine common variable immunodeficiency patients unveil block of B lymphocyte differentiation.Clinical immunology (Orlando, Fla.) · 2015Article
- Using gene expression to improve the power of genome-wide association analysis.Human heredity · 2014Article
- Lung Disease in Primary Antibody Deficiencies.The journal of allergy and clinical immunology. In practiceReview
- International Consensus Document (ICON): Common Variable Immunodeficiency Disorders.The journal of allergy and clinical immunology. In practiceArticle
- Progression of Common Variable Immunodeficiency Interstitial Lung Disease Accompanies Distinct Pulmonary and Laboratory Findings.The journal of allergy and clinical immunology. In practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Common variable immunodeficiency (CVID) represents one of the most frequently diagnosed disorders of the immune system. Though several causative and associated genes have been identified, the origins of most cases remain unknown. Diagnostic delay is common due to the gradual evolution and wide spectrum of phenotypes, which can include autoimmune disease, enteropathy, and lung disease. A recent genome wide array identified novel gene associations with CVID, and also showed that identification of a genetic signature via a Support Vector Machine algorithm may be a powerful diagnostic tool. Studies utilizing whole genome or exome sequencings have also met with success in identifying new causes of CVID in subgroups of patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.