Evidence map›Paper›PMID 37040293›Full record

ArticleEC psychology and psychiatry2023

Applications of Polygenic Risk Scores in Psychiatric Genetics.

Qiao Mao, Zhimin Lan, Ping Liu, Dengjun Guo, Xiaoping Wang, Jie Lin, Xingguang Luo

Abstract read
In one paragraph

Article in EC psychology and psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Precision medicine in mental health: applications, challenges, and recommendations.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Review
  2. Article
  3. 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

7 authors.

Qiao MaoDepartment of Psychosomatic Medicine, People's Hospital of Deyang City, Deyang, Sichuan 618000, China.
Zhimin LanBeijing Huilongguan Hospital, Peking University Huilongguan Clinical School of Medicine, Beijing 100096, China.
Ping LiuDepartment of Psychosomatic Medicine, People's Hospital of Deyang City, Deyang, Sichuan 618000, China.
Dengjun GuoDepartment of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaoping WangDepartment of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jie LinFujian Center for Disease Prevention and Control, Fuzhou, Fujian 350011, China.
Xingguang LuoBeijing Huilongguan Hospital, Peking University Huilongguan Clinical School of Medicine, Beijing 100096, China.

Funding

Post-GWAS transcriptome-wide LncRNA expression profiling in alcohol dependenceR21AA023237 · NIAAA · YALE UNIVERSITY · PI LUO, XINGGUANG · 2015 to 2016
$344k
NIAAA NIH HHS R21 AA023237
6 · The paper itself

Abstract

Polygenic risk score (PRS) is a powerful tool for studying the genetic architecture of complex diseases, including psychiatric disorders. This review highlights the use of PRS in psychiatric genetics, including its application in identifying high-risk individuals, estimating heritability, assessing shared etiology between phenotypes, and personalizing treatment plans. It also explains the methodology for calculating PRS, the challenges associated with their use in clinical settings, and future research directions. The main limitation of PRS is that the current models only account for a small fraction of the heritability of psychiatric disorders. Despite this limitation, PRS represents a valuable tool that has already yielded important insights into the genetic architecture of psychiatric disorders.

Indexed as

pleiotropyPolygenic risk scorepsychiatric geneticsrisk assessmentshared etiology

Identifiers

PMID37040293
PMCPMC10081519

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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.