Evidence map›Paper›PMID 38566255›Full record

ArticleHuman genomics2024

Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study.

Eunyoung Choi, Jaeseung Song, Yubin Lee, Yeonbin Jeong, Wonhee Jang

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Eunyoung ChoiDepartment of Life Sciences, Dongguk University, Seoul, 04620, Republic of Korea.
Jaeseung SongDepartment of Life Sciences, Dongguk University, Seoul, 04620, Republic of Korea.
Yubin LeeDepartment of Life Sciences, Dongguk University, Seoul, 04620, Republic of Korea.
Yeonbin JeongDepartment of Life Sciences, Dongguk University, Seoul, 04620, Republic of Korea.
Wonhee JangDepartment of Life Sciences, Dongguk University, Seoul, 04620, Republic of Korea. wany@dongguk.edu.
Dongguk University · KR

Funding

National Research Foundation of Korea NRF-2021R1A2C1008804
6 · The paper itself

Abstract

backgroundMale-pattern baldness (MPB) is the most common cause of hair loss in men. It can be categorized into three types: type 2 (T2), type 3 (T3), and type 4 (T4), with type 1 (T1) being considered normal. Although various MPB-associated genetic variants have been suggested, a comprehensive study for linking these variants to gene expression regulation has not been performed to the best of our knowledge.

resultsIn this study, we prioritized MPB-related tissue panels using tissue-specific enrichment analysis and utilized single-tissue panels from genotype-tissue expression version 8, as well as cross-tissue panels from context-specific genetics. Through a transcriptome-wide association study and colocalization analysis, we identified 52, 75, and 144 MPB associations for T2, T3, and T4, respectively. To assess the causality of MPB genes, we performed a conditional and joint analysis, which revealed 10, 11, and 54 putative causality genes for T2, T3, and T4, respectively. Finally, we conducted drug repositioning and identified potential drug candidates that are connected to MPB-associated genes.

conclusionsOverall, through an integrative analysis of gene expression and genotype data, we have identified robust MPB susceptibility genes that may help uncover the underlying molecular mechanisms and the novel drug candidates that may alleviate MPB.

Indexed as

AlopeciaTranscriptomeGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMalePrognosisDrug repositioningGene prioritizationMale-pattern baldnessPhenome-wide association studyTranscriptome-wide association study

Identifiers

PMID38566255
PMCPMC10985920
OpenAlexW4393396890

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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.