Evidence map›Paper›PMID 35833142›Full record

ReviewFrontiers in immunology2022

Construction and Application of Polygenic Risk Scores in Autoimmune Diseases.

Chachrit Khunsriraksakul, Havell Markus, Nancy J Olsen, Laura Carrel, Bibo Jiang, Dajiang J Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. A survey on deep learning for polygenic risk scores.Briefings in bioinformatics · 2025
    Review
  5. Plasma protein-based and polygenic risk scores serve complementary roles in predicting inflammatory bowel disease.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
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

6 authors at 2 institutions in 1 country.

Chachrit KhunsriraksakulGraduate Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Havell MarkusGraduate Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Nancy J OlsenDepartment of Medicine, Division of Rheumatology, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Laura CarrelDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Bibo JiangDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Dajiang J LiuInstitute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, United States.
Penn State Milton S. Hershey Medical Center · USPennsylvania State University · US

Funding

Study of Anti-Malarials in Incomplete Lupus Erythematosus (SMILE)U01AR071077 · NIAMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KARP, DAVID R, OLSEN, NANCY J · 2017 to 2022
$6.8M
Medical Student Training ProgramT32GM118294 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LEVENSON, ROBERT · 2016 to 2021
$1.7M
Tools for integrative genomics and disease association study for the X chromosomeR01GM126479 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2018 to 2021
$1.2M
Penn State Biomedical Big Data to Knowledge (B2D2K) Training ProgramT32LM012415 · NLM · PENNSYLVANIA STATE UNIVERSITY, THE · PI BROACH, JAMES R., HONAVAR, VASANT G. · 2016 to 2020
$1.2M
Methods to Identify, Validate & Interpret GWAS Loci in Multi-ethnic Meta-analysisR56HG011035 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2021 to 2021
$576k
Variants underlying sex bias in Systemic Lupus ErythematosusR21AI160138 · NIAID · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CARREL, LAURA, LIU, DAJIANG · 2022 to 2023
$442k
Methods to maximize the utility of common fund functional genomic data in multi-ethnic genetic studiesR03OD032630 · OD · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2021 to 2021
$335k
NHGRI NIH HHS R56 HG011035NIAID NIH HHS R21 AI160138NIAMS NIH HHS U01 AR071077NIGMS NIH HHS R01 GM126479NIGMS NIH HHS T32 GM118294NIH HHS R03 OD032630NLM NIH HHS T32 LM012415
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with autoimmune diseases and provided unique mechanistic insights and informed novel treatments. These individual genetic variants on their own typically confer a small effect of disease risk with limited predictive power; however, when aggregated (e.g.,

Indexed as

Autoimmune DiseasesLupus Erythematosus, SystemicGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRisk Factorsautoimmune diseaseselectronic health record (EHR)genome wide association studies (GWAS)multi-ancestry genetic studypolygenic risk score (PRS)

Identifiers

PMID35833142
PMCPMC9271862
OpenAlexW4283587291

What OpenQuestion 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 OpenQuestion graph.