GDBIG: A Pioneering Birth Cohort Genomic Platform Facilitating Intergenerational Genetic Research.

Shujia Huang, Chengrui Wang, Mingxi Huang, Jinhua Lu, Jian-Rong He, Shanshan Lin, Siyang Liu, Huimin Xia, Xiu Qiu
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Abstract

High-quality genome databases derived from large-scale, family-based birth cohorts are vital resources for investigating the genetic determinants of early-life traits and the impact of early-life environments on the health of both parents and offspring. Here, we established the genomic platform of the Born in Guangzhou Cohort Study (BIGCS), named the Genome Database of BIGCS (GDBIG), which represents the first birth cohort-based genomic database in China and is designed to facilitate intergenerational genetic research. Based on the phase I results of the BIGCS, GDBIG includes low-coverage (∼ 6.63×) whole genome sequencing (WGS) data and extensive pregnancy phenotypes from 4053 Chinese participants. These participants are from 30 of China's 34 administrative divisions, encompassing Han and 12 minority ethnic groups. Currently, GDBIG provides a range of services, including allele frequency queries for 56.23 million variants across two generations, a genotype imputation server featuring a high-quality family-based reference panel, and a genome-wide association study (GWAS) meta-analysis interface for various maternal and infant phenotypes. The GDBIG database addresses the lack of Asian birth cohort-based genomic resources and provides a valuable platform for conducting genetic analysis, accessible online or via application programming interfaces (API) at http://gdbig.bigcs.com.cn/.

GDBIG:促进代际遗传研究的开创性出生队列基因组平台。
从大规模、以家庭为基础的出生队列中获得的高质量基因组数据库是研究早期生活特征的遗传决定因素以及早期生活环境对父母和后代健康影响的重要资源。在此,我们建立了广州出生队列研究(BIGCS)基因组平台,命名为BIGCS基因组数据库(GDBIG),这是中国第一个基于出生队列的基因组数据库,旨在促进代际遗传研究。基于BIGCS的I期结果,GDBIG包括来自4053名中国参与者的低覆盖率(~ 6.63×)全基因组测序(WGS)数据和广泛的妊娠表型。这些参与者来自中国34个行政区中的30个,包括汉族和12个少数民族。目前,GDBIG提供一系列服务,包括跨两代5623万个变异的等位基因频率查询,具有高质量家庭参考面板的基因型插入服务器,以及用于各种母婴表型的全基因组关联研究(GWAS)荟萃分析界面。GDBIG数据库解决了亚洲出生队列基因组资源不足的问题,并为进行遗传分析提供了一个有价值的平台,可在线访问或通过应用程序编程接口(API)访问http://gdbig.bigcs.com.cn/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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