Evidence map›Paper›PMID 32170311›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Genetic Architecture Associated With Familial Short Stature.

Ying-Ju Lin, Chi-Fung Cheng, Chung-Hsing Wang, Wen-Miin Liang, Chih-Hsin Tang, Li-Ping Tsai, Chien-Hsiun Chen, Jer-Yuarn Wu, Ai-Ru Hsieh, Ming Ta Michael Lee and 6 more

Abstract read
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Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genetic Regulation of Adult Stature in Humans.The Journal of clinical endocrinology and metabolism · 2020
    Article
  12. Deciphering short stature in children.Annals of pediatric endocrinology & metabolism · 2020
    Article
  13. Readdressing Short Stature in India: The "Long and the Short" of it.Indian journal of endocrinology and metabolism
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Ying-Ju LinGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Chi-Fung ChengGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Chung-Hsing WangChildren's Hospital of China Medical University, Taichung, Taiwan.
Wen-Miin LiangDepartment of Health Services Administration, China Medical University, Taichung, Taiwan.
Chih-Hsin TangGraduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.
Li-Ping TsaiDepartment of Pediatrics, Taipei Tzu Chi Hospital, New Taipei City, Taiwan.
Chien-Hsiun ChenSchool of Chinese Medicine, China Medical University, Taichung, Taiwan.
Jer-Yuarn WuSchool of Chinese Medicine, China Medical University, Taichung, Taiwan.
Ai-Ru HsiehDepartment of Statistics, Tamkang University, New Taipei City, Taiwan.
Ming Ta Michael LeeGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, USA.
Ting-Hsu LinGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Chiu-Chu LiaoGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Shao-Mei HuangGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Yanfei ZhangGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, USA.
Chang-Hai TsaiDepartment of Biotechnology and Bioinformatics, Asia University, Taichung, Taiwan.
Fuu-Jen TsaiGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextHuman height is an inheritable, polygenic trait under complex and multilocus genetic regulation. Familial short stature (FSS; also called genetic short stature) is the most common type of short stature and is insufficiently known.

objectiveTo investigate the FSS genetic profile and develop a polygenic risk predisposition score for FSS risk prediction. DESIGN AND

settingThe FSS participant group of Han Chinese ancestry was diagnosed by pediatric endocrinologists in Taiwan. PATIENTS AND

interventionsThe genetic profiles of 1163 participants with FSS were identified by using a bootstrapping subsampling and genome-wide association studies (GWAS) method.

main outcome measuresGenetic profile, polygenic risk predisposition score for risk prediction.

resultsTen novel genetic single nucleotide polymorphisms (SNPs) and 9 reported GWAS human height-related SNPs were identified for FSS risk. These 10 novel SNPs served as a polygenic risk predisposition score for FSS risk prediction (area under the curve: 0.940 in the testing group). This FSS polygenic risk predisposition score was also associated with the height reduction regression tendency in the general population.

conclusionA polygenic risk predisposition score composed of 10 genetic SNPs is useful for FSS risk prediction and the height reduction tendency. Thus, it might contribute to FSS risk in the Han Chinese population from Taiwan.

Indexed as

Genome-Wide Association StudyMultifactorial InheritancePolymorphism, Single NucleotideBiomarkersBody HeightCase-Control StudiesDwarfismFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPrognosisTaiwanBiomarkersfamilial short statureGWASHan Chinese ancestryhuman heightpolygenic trait

Identifiers

PMID32170311

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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.