Evidence map›Paper›PMID 37953384›Full record

ArticleNucleic acids research2024

PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods.

Chen Cao, Shuting Zhang, Jianhua Wang, Min Tian, Xiaolong Ji, Dandan Huang, Sheng Yang, Ning Gu

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Chen CaoKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China.ORCID 0000-0001-5343-808X
Shuting ZhangKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Jianhua WangDepartment of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300203, China.
Min TianKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Xiaolong JiDepartment of Biostatistics, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Dandan HuangDepartment of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300203, China.
Sheng YangDepartment of Biostatistics, Centre for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.ORCID 0000-0003-3657-8771
Ning GuKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China.

Funding

National Natural Science Foundation of China 82273741Natural Science Foundation of Jiangsu Higher Education Institutions of China 22KJB330007Priority Academic Program Development of Jiangsu Higher Education Institutions
6 · The paper itself

Abstract

Polygenic score (PGS) is an important tool for the genetic prediction of complex traits. However, there are currently no resources providing comprehensive PGSs computed from published summary statistics, and it is difficult to implement and run different PGS methods due to the complexity of their pipelines and parameter settings. To address these issues, we introduce a new resource called PGS-Depot containing the most comprehensive set of publicly available disease-related GWAS summary statistics. PGS-Depot includes 5585 high quality summary statistics (1933 quantitative and 3652 binary trait statistics) curated from 1564 traits in European and East Asian populations. A standardized best-practice pipeline is used to implement 11 summary statistics-based PGS methods, each with different model assumptions and estimation procedures. The prediction performance of each method can be compared for both in- and cross-ancestry populations, and users can also submit their own summary statistics to obtain custom PGS with the available methods. Other features include searching for PGSs by trait name, publication, cohort information, population, or the MeSH ontology tree and searching for trait descriptions with the experimental factor ontology (EFO). All scores, SNP effect sizes and summary statistics can be downloaded via FTP. PGS-Depot is freely available at http://www.pgsdepot.net.

Indexed as

BiostatisticsMultifactorial InheritanceGenome-Wide Association StudyPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID37953384
PMCPMC10767792

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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.