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GWAS Study

The genetic architecture of age at menarche and its causal effects on other traits.

Feng GJ, Xu Q, Zhao QG et al.

39147824 PubMed ID
GWAS Study Type
371060 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

FG
Feng GJ
XQ
Xu Q
ZQ
Zhao QG
HB
Han BX
YS
Yan SS
ZJ
Zhu J
PY
Pei YF
Chapter II

Abstract

Summary of the research findings

Age at menarche (AAM) is a sign of puberty of females. It is a heritable trait associated with various adult diseases. However, the genetic mechanism that determines AAM and links it to disease risk is poorly understood. Aiming to uncover the genetic basis for AAM, we conducted a joint association study in up to 438,089 women from 3 genome-wide association studies of European and East Asian ancestries. A series of bioinformatical analyses and causal inference were then followed to explore in-depth annotations at the associated loci and infer the causal relationship between AAM and other complex traits/diseases. This largest meta-analysis identified a total of 21 novel AAM associated loci at the genome wide significance level (P < 5.0 × 10-8), 4 of which were European ancestry-specific loci. Functional annotations prioritized 33 candidate genes at newly identified loci. Significant genetic correlations were observed between AAM and 67 complex traits. Further causal inference demonstrated the effects of AAM on 13 traits, including forced vital capacity (FVC), high blood pressure, age at first live birth, etc, indicating that earlier AAM causes lower FVC, worse lung function, hypertension and earlier age at first (last) live birth. Enrichment analysis identified 5 enriched tissues, including the hypothalamus middle, hypothalamo hypophyseal system, neurosecretory systems, hypothalamus and retina. Our findings may provide useful insights that elucidate the mechanisms determining AAM and the genetic interplay between AAM and some traits of women.

371,060 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

371060
Total Participants
GWAS
Study Type
No
Replicated
European, East Asian
Ancestry
U.K.
Recruitment Country
Chapter IV

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