Literature DB >> 32170311

Genetic Architecture Associated With Familial Short Stature.

Ying-Ju Lin1,2, Chi-Fung Cheng1,3, Chung-Hsing Wang4, Wen-Miin Liang3, Chih-Hsin Tang5, Li-Ping Tsai6, Chien-Hsiun Chen2,7, Jer-Yuarn Wu2,7, Ai-Ru Hsieh8, Ming Ta Michael Lee9, Ting-Hsu Lin1, Chiu-Chu Liao1, Shao-Mei Huang1, Yanfei Zhang9, Chang-Hai Tsai10, Fuu-Jen Tsai1,2,4,10.   

Abstract

CONTEXT: Human 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.
OBJECTIVE: To investigate the FSS genetic profile and develop a polygenic risk predisposition score for FSS risk prediction. DESIGN AND
SETTING: The FSS participant group of Han Chinese ancestry was diagnosed by pediatric endocrinologists in Taiwan. PATIENTS AND
INTERVENTIONS: The genetic profiles of 1163 participants with FSS were identified by using a bootstrapping subsampling and genome-wide association studies (GWAS) method. MAIN OUTCOME MEASURES: Genetic profile, polygenic risk predisposition score for risk prediction.
RESULTS: Ten 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.
CONCLUSION: A 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. © Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  GWAS; Han Chinese ancestry; familial short stature; human height; polygenic trait

Mesh:

Substances:

Year:  2020        PMID: 32170311     DOI: 10.1210/clinem/dgaa131

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  4 in total

1.  Your height affects your health: genetic determinants and health-related outcomes in Taiwan.

Authors:  Jian-Shiun Chiou; Chi-Fung Cheng; Wen-Miin Liang; Chen-Hsing Chou; Chung-Hsing Wang; Wei-De Lin; Mu-Lin Chiu; Wei-Chung Cheng; Cheng-Wen Lin; Ting-Hsu Lin; Chiu-Chu Liao; Shao-Mei Huang; Chang-Hai Tsai; Ying-Ju Lin; Fuu-Jen Tsai
Journal:  BMC Med       Date:  2022-07-13       Impact factor: 11.150

2.  Deciphering short stature in children.

Authors:  Nella Polidori; Valeria Castorani; Angelika Mohn; Francesco Chiarelli
Journal:  Ann Pediatr Endocrinol Metab       Date:  2020-06-30

3.  Comparison of multiple imputation algorithms and verification using whole-genome sequencing in the CMUH genetic biobank.

Authors:  Ting-Yuan Liu; Chih-Fan Lin; Hsing-Tsung Wu; Ya-Lun Wu; Yu-Chia Chen; Chi-Chou Liao; Yu-Pao Chou; Dysan Chao; Ya-Sian Chang; Hsing-Fang Lu; Jan-Gowth Chang; Kai-Cheng Hsu; Fuu-Jen Tsai
Journal:  Biomedicine (Taipei)       Date:  2021-12-01

4.  Readdressing Short Stature in India: The "Long and the Short" of it.

Authors:  K V Raviteja; Liza Das; Bhanu Malhotra; Raman K Marwaha; Pinaki Dutta
Journal:  Indian J Endocrinol Metab       Date:  2022-01-12
  4 in total

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