Evidence map›Paper›PMID 34864821›Full record

ArticleGenes and immunity2021

Population-specific diversity of the immunoglobulin constant heavy G chain (IGHG) genes.

Arman A Bashirova, Wanjing Zheng, Marjan Akdag, Danillo G Augusto, Nicolas Vince, Krista L Dong, Colm O'hUigin, Mary Carrington

Open access · hybridAbstract read
In one paragraph

Article in Genes and immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Immunoglobulin allotypes andJournal of Alzheimer's disease : JAD · 2026
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  7. Review
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  10. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Identification of IgG1 and IgG3 Allotypes by PCR and Sanger Sequencing.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  20. Article
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

8 authors at 5 institutions in 3 countries.

Arman A BashirovaBasic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA.
Wanjing ZhengThe Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA.
Marjan AkdagBasic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA.
Danillo G AugustoPrograma de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil.
Nicolas VinceUniversité de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000, Nantes, France.ORCID http://orcid.org/0000-0002-3767-6210
Krista L DongFemales Rising through Education, Support, and Health, Durban, KwaZulu-Natal, South Africa.
Colm O'hUiginBasic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA.
Mary CarringtonBasic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA. carringm@mail.nih.gov.ORCID http://orcid.org/0000-0002-2692-2180
Frederick National Laboratory for Cancer Research · USRagon Institute of MGH, MIT and Harvard · USInserm · FRNational Cancer Institute · USUniversity of California, San Francisco · US

Funding

NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Human immunoglobulin G (IgG) molecules, IgG1, IgG2 and IgG3, exhibit substantial inter-individual variation in their constant heavy chain regions, as discovered by serological methods. This polymorphism is encoded by the IGHG1, IGHG2, and IGHG3 genes and may influence antibody function. We sequenced the coding fragments of these genes in 95 European Americans, 94 African Americans, and 94 Black South Africans. Striking differences were observed between the population groups, including extremely low amino acid sequence variation in IGHG1 among South Africans, and higher IGHG2 and IGHG3 diversity in individuals of African descent compared to individuals of European descent. Molecular definition of the loci illustrates a greater level of allelic polymorphism than previously described, including the presence of common IGHG2 and IGHG3 variants that were indistinguishable serologically. Comparison of our data with the 1000 Genome Project sequences indicates overall agreement between the datasets, although some inaccuracies in the 1000 Genomes Project are likely. These data represent the most comprehensive analysis of IGHG polymorphisms across major populations, which can now be applied to deciphering their functional impact.

Indexed as

Immunoglobulin GImmunoglobulin Heavy ChainsAllelesGenes, ImmunoglobulinHumansPolymorphism, GeneticImmunoglobulin GImmunoglobulin Heavy Chains

Identifiers

PMID34864821
PMCPMC8674132
OpenAlexW4200168473

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.