Literature DB >> 34288885

Genetic factors of idiopathic central precocious puberty and their polygenic risk in early puberty.

Wei-De Lin1,2, Chi-Fung Cheng1,3, Chung-Hsing Wang4, Wen-Miin Liang3, Chien-Hsiun Chen5,6, Ai-Ru Hsieh7, Mu-Lin Chiu6, Ting-Hsu Lin1, Chiu-Chu Liao1, Shao-Mei Huang1, Chang-Hai Tsai8, Cherry Yin-Yi Chang9,10, Ying-Ju Lin1,6, Fuu-Jen Tsai1,4,6,8.   

Abstract

OBJECTIVE,: To investigate the genetic characteristics of idiopathic central precocious puberty (ICPP) and validate its polygenic risk for early puberty. DESIGN AND METHODS: A bootstrap subsampling and genome-wide association study were performed on Taiwanese Han Chinese girls comprising 321 ICPP patients and 148 controls. Using previous GWAS data on pubertal timing, a replication study was performed. A validation group was also investigated for the weighted polygenic risk score (wPRS) of the risk of early puberty.
RESULTS: A total of 105 SNPs for the risk of ICPP were identified, of which 22 yielded an area under the receiver operating characteristic curve of 0.713 for the risk of early puberty in the validation group. A replication study showed that 33 SNPs from previous GWAS data of pubertal timing were associated with the risk of ICPP (training group: P-value < 0.05). In the validation group, a cumulative effect was observed between the wPRS and the risk of early puberty in a dose-dependent manner (validation group: Cochran-Armitage trend test: P-value < 1.00E-04; wPRS quartile 2 (Q2) (odds ratio (OR) = 5.00, 95% CI: 1.55-16.16), and wPRS Q3 (OR = 11.67, 95% CI: 2.44-55.83)).
CONCLUSIONS: This study reveals the ICPP genetic characteristics with 22 independent and 33 reported SNPs in the Han Chinese population from Taiwan. This study may contribute to understand the genetic features and underlying biological pathways that control pubertal timing and pathogenesis of ICPP and also to the identification of individuals with a potential genetic risk of early puberty.

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Year:  2021        PMID: 34288885     DOI: 10.1530/EJE-21-0424

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  2 in total

1.  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

2.  Identifying Environmental Endocrine Disruptors Associated With the Age at Menarche by Integrating a Transcriptome-Wide Association Study With Chemical-Gene-Interaction Analysis.

Authors:  Mengnan Lu; Ruoyang Feng; Yujie Qin; Hongyang Deng; Biyao Lian; Chunyan Yin; Yanfeng Xiao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-24       Impact factor: 5.555

  2 in total

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