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Genetic susceptibility of urolithiasis: comprehensive results from genome-wide analysis.
Lin, Lede; Ma, Yucheng; Li, Zhen; Liu, Linhu; Hu, Qibo; Zhou, Liang.
Afiliação
  • Lin L; Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Ma Y; Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Li Z; Department of Urology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China.
  • Liu L; Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Hu Q; Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Zhou L; Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. zhouliang5678@wchscu.cn.
World J Urol ; 42(1): 230, 2024 Apr 12.
Article em En | MEDLINE | ID: mdl-38607442
ABSTRACT

BACKGROUND:

The pathogenesis of urolithiasis is multi-factorial and genetic factors have been shown to play a significant role in the development of urolithiasis. We tried to apply genome-wide Mendelian randomization (MR) analysis and figure out reliable gene susceptibility of urolithiasis from the largest samples to date in two independent genome-wide association studies (GWAS) database of European ancestry.

METHODS:

We extracted summary statistics of expression quantitative trait locus (eQTL) from eQTLGen consortium. Urolithiasis phenotype information was obtained from both FinnGen Biobank and UK Biobank. Multiple two-sample MR analysis with a Bonferroni-corrected P threshold (P < 2.5e-06) was conducted. The primary endpoint was the causal effect calculated by random-effect inverse variance weighted (IVW) method. Sensitivity analysis, volcano plots, scatter plots, and regional plots were also performed and visualized.

RESULTS:

After multiple MR tests between 19942 eQTLs and urolithiasis phenotype from both cohorts, 30 common eQTLs with consistent effect size direction were found to be causally associated with urolithiasis risk. Finally only one gene (LMAN2) was simultaneously identified among all top significant eQTLs from both FinnGen Biobank (beta = 0.6758, se = 0.0327, P = 6.775e-95) and UK Biobank (beta = 0.0044, se = 0.0009, P = 2.417e-06). We also found that LMAN2 was with the largest beta effect size on urolithiasis phenotype from the two cohorts.

CONCLUSION:

We for the first time implemented genome-wide MR analysis to investigate the genetic susceptibility of urolithiasis in general population of European ancestry. Our results provided novel insights into common genetic variants of urinary stone disease, which was of great help to subsequent researches.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Urinários / Urolitíase Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Urinários / Urolitíase Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article