Evidence map›Paper›PMID 38292225›Full record

ArticleClinical case reports2024

Predicting valuable missense variants with AlphaMissense in a multiple pulmonary infection patient.

Tianyuan Wang, Jindi Ma, Yuan Shu, Bao Hong, Zhouhan Wang, Yingfeng Lu, Xiaopeng Yu, Xi Huang, Yimin Zhang

Abstract readCase Reports
In one paragraph

Article in Clinical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Benchmarking AlphaMissense pathogenicity predictions againstBiochemistry and biophysics reports · 2025
    Article
  3. Article
  4. Correlations ofAlzheimer's & dementia (New York, N. Y.)
    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

9 authors.

Tianyuan WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Jindi MaState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Yuan ShuDepartment of Infectious Diseases Haining Pepole's Hospital Haining China.
Bao HongDepartment of Infectious Diseases Haining Pepole's Hospital Haining China.
Zhouhan WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Yingfeng LuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Xiaopeng YuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Xi HuangDepartment of electrocardiogram, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.
Yimin ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine Zhejiang University Hangzhou China.ORCID https://orcid.org/0000-0002-5877-6675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AlphaMissense is proficient in predicting the clinical classification of missense variants. we utilized AlphaMissense to find disease-relevant variants within a polymicrobial pulmonary infection case. Exome sequencing was performed in this patient, and AlphaMissense and Phenolyzer were combined to investigate disease-relevant variants screening from exome sequencing results.

Indexed as

exome sequencingmachine learningmultiple infectionsPhenolyzer

Identifiers

PMID38292225
PMCPMC10825880

What OpenQuestion holds

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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.