Evidence map›Paper›PMID 40764056›Full record

ArticleGenome research2025

Genotyping of selected germline adaptive immune system loci using short-read sequencing data.

Michael K B Ford, Ananth Hari, Meredith Yeager, Lisa Mirabello, Stephen Chanock, Ibrahim Numanagić, COVNET Consortium, S Cenk Sahinalp

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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.

Michael K B FordNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; mike.ford@nih.gov cenk.sahinalp@nih.gov.ORCID 0000-0001-9451-3541
Ananth HariNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.ORCID 0000-0001-8174-5335
Meredith YeagerNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Lisa MirabelloNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Stephen ChanockNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Ibrahim NumanagićDepartment of Computer Science, University of Victoria, British Columbia V8P 5C2, Canada.
COVNET Consortium
S Cenk SahinalpNational Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA; mike.ford@nih.gov cenk.sahinalp@nih.gov.ORCID 0000-0002-2170-2808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As we enter the age of personalized medicine, healthcare is increasingly focused on tailoring diagnoses and treatments based on patients' genetic and environmental circumstances. A critical component of a person's physiological makeup is their immune system, but individual genetic variation in many immune system genes has remained resistant to analysis using classical whole-genome or targeted sequencing approaches. In particular, germline adaptive immune system genes, like immunoglobulin (

Indexed as

Adaptive ImmunityGenotyping TechniquesReceptors, Antigen, T-CellCOVID-19GenotypeHumansSARS-CoV-2SoftwareReceptors, Antigen, T-Cell

Identifiers

PMID40764056
PMCPMC12401057

What OpenQuestion holds

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Registered trials

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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.