Evidence map›Paper›PMID 39910149›Full record

ArticleNPJ genomic medicine2025

Polygenic height prediction for the Han Chinese in Taiwan.

Chih-Hao Chang, Che-Yu Chou, Timothy G Raben, Shih-Ann Chen, Yuh-Jyh Jong, Jeng-Yih Wu, Shun-Fa Yang, Hsiang-Cheng Chen, Yen-Lin Chen, Ming Chen and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ genomic medicine, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

23 authors.

Chih-Hao ChangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Che-Yu ChouInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Timothy G RabenDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan, USA.ORCID http://orcid.org/0000-0003-2681-4179
Shih-Ann ChenDepartment of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
Yuh-Jyh JongChair Professor of Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University (KMU), Kaohsiung, Taiwan.ORCID http://orcid.org/0000-0002-1735-1101
Jeng-Yih WuHealth Management Center, Department of Gastroenterology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Shun-Fa YangInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.ORCID http://orcid.org/0000-0002-0365-7927
Hsiang-Cheng ChenDivision of Rheumatology/Immunology and Allergy, Department of Internal Medicine, Tri‑Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Yen-Lin ChenCenter for Precision Medicine and Genomics, 2. Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Ming ChenDepartment of Genomic Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Gwo-Chin MaDepartment of Genomic Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Chih-Yang HuangCardiovascular and Mitochondria Related Disease Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Tso-Fu WangDepartment of Hematology and Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Sing-Lian LeeDivision of Endocrinology, Department of Internal Medicine, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan.
Chen-Fang HungDepartment of Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan.
See-Tong PangChang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Erik WidenDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan, USA.
Yao-Ming ChangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-6618-862X
Erh-Chan YehInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chun-Yu WeiInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chien-Hsiun ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Stephen D H HsuDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan, USA.
Pui-Yan KwokInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. Pui.Kwok@ucsf.edu.ORCID http://orcid.org/0000-0002-5087-3059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predictors for the Han Chinese population in Taiwan. We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. Our findings establish that combining birth year (as a surrogate for nutritional status), age at measurement (to account for age-associated effects on height), and genetic profile data improves the accuracy of height prediction. This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females.

Identifiers

PMID39910149
PMCPMC11799370

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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.