Genómica Computacional, Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), 62209 Cuernavaca, Morelos, México.
Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), 36821 Irapuato, Guanajuato, México.
Dis Model Mech. 2024 Jan 1;17(1). doi: 10.1242/dmm.050522. Epub 2024 Feb 1.
Diversifying genotype-phenotype databases is essential to understanding complex trait and disease etiology across different environments and genetic ancestries. The rise of biobanks across the world is helping reveal the genetic and environmental architecture of multiple disease traits but the diversity they capture remains limited. To help close this gap, the Mexican Biobank (MXB) Project was recently generated, and has already revealed fine-scale genetic ancestries and demographic histories across the country, and their impact on trait-relevant genetic variation. This will help guide future genetic epidemiology and public health efforts, and has also improved polygenic prediction for several traits in Mexican populations compared with using data from other genome-wide association studies, such as the UK Biobank. The MXB illustrates the importance of transnational initiatives and funding calls that prioritize local leadership and capacity building to move towards inclusive genomic science.
多样化的基因型-表型数据库对于理解不同环境和遗传背景下的复杂特征和疾病病因至关重要。世界各地生物银行的兴起正在帮助揭示多种疾病特征的遗传和环境结构,但它们所捕捉到的多样性仍然有限。为了帮助缩小这一差距,最近生成了墨西哥生物银行(MXB)项目,该项目已经揭示了全国范围内的精细遗传背景和人口历史,以及它们对特征相关遗传变异的影响。这将有助于指导未来的遗传流行病学和公共卫生工作,并且与使用来自其他全基因组关联研究(例如英国生物库)的数据相比,它还提高了墨西哥人群中几个特征的多基因预测能力。MXB 说明了跨国倡议和资金呼吁的重要性,这些倡议和资金呼吁优先考虑地方领导和能力建设,以迈向包容性基因组科学。