Functional Validation and Phenotypic Spectrum of Splice‐Site Variants in <scp> <i>CHD7</i> </scp> , <scp> <i>FGFR1</i> </scp> , and <scp> <i>ANOS1</i> </scp> in Congenital Hypogonadotropic Hypogonadism

To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH.

Authors

Institutions

Publication Details

Journal
Clinical Genetics
Published
2025-11-21
DOI
https://doi.org/10.1111/cge.70114
Primary Topic
Hypothalamic control of reproductive hormones
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional Validation and Phenotypic Spectrum of Splice‐Site Variants in CHD7 , FGFR1 , and ANOS1 in Congenital Hypogonadotropic Hypogonadism

Meichao Men, Xiong Tang, Jia‐Da Li, Pingchuan Zhang et al.
Clinical Genetics
Hypothalamic control of reproductive hormones
article

Functional Validation and Phenotypic Spectrum of Splice‐Site Variants in CHD7 , FGFR1 , and ANOS1 in Congenital Hypogonadotropic Hypogonadism

Meichao Men, Xiong Tang, Jia‐Da Li, Pingchuan Zhang, Yuting Li, Ruizhi Zheng, Danna Chen, Jun Guan, Jianhua Fu, Chengli He, Zhiheng Chen
article en

Abstract

To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH.

Clinical Genetics
Central South University (CN), Changsha Medical University (CN), Zhengzhou People's Hospital (CN), Third Xiangya Hospital (CN), Xiangya Hospital Central South University (CN)
Openalex Percentile: Top 54%
Hypothalamic control of reproductive hormones
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.