Mexican Biobank advances population and medical genomics of diverse ancestries.
Mexican Biobank advances population and medical genomics of diverse ancestries.
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DOI：
10.1038/s41586-023-06560-0
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发表时间：
2023-10
期刊：
影响因子：
64.8
通讯作者：
Moreno-Estrada, Andres
中科院分区：
文献类型：
--
作者：
Sohail, Mashaal;Palma-Martinez, Maria J.;Chong, Amanda Y.;Quinto-Cortes, Consuelo D.;Barberena-Jonas, Carmina;Medina-Munoz, Santiago G.;Ragsdale, Aaron;Delgado-Sanchez, Guadalupe;Cruz-Hervert, Luis Pablo;Ferreyra-Reyes, Leticia;Ferreira-Guerrero, Elizabeth;Mongua-Rodriguez, Norma;Canizales-Quintero, Sergio;Jimenez-Kaufmann, Andres;Moreno-Macias, Hortensia;Aguilar-Salinas, Carlos A.;Auckland, Kathryn;Cortes, Adrian;Acuna-Alonzo, Victor;Gignoux, Christopher R.;Wojcik, Genevieve L.;Ioannidis, Alexander G.;Fernandez-Valverde, Selene L.;Hill, Adrian V. S.;Tusie-Luna, Maria Teresa;Mentzer, Alexander J.;Novembre, John;Garcia-Garcia, Lourdes;Moreno-Estrada, Andres
拉丁美洲在基因组学研究中的代表性仍然严重不足，由于数据不足，精细的遗传史和复杂的性状结构仍然不为人知。为了填补这一空白，墨西哥生物库项目对来自墨西哥所有32个州的898个农村和城市地区的6，057名个体进行了基因分型，分辨率为180万个全基因组标记，具有相关的复杂性状和疾病信息，创建了一个有价值的全国性基因型-表型数据库。在这里，使用祖先反卷积和身份的推断，通过血统段，我们推断祖先的人口规模在中美洲地区随着时间的推移，解开土著，殖民和后殖民的人口动态。我们观察到不同祖先的基因组区域之间纯合性的变化，反映了不同的人口统计学历史，反过来，罕见的有害变体的不同分布。我们对22个复杂性状进行了全基因组关联研究（GWAS），发现与英国生物银行GWAS相比，使用墨西哥生物银行GWAS可以更好地预测几个性状。我们确定了与性状变异相关的遗传和环境因素，例如纯合性运行中的基因组长度作为体重指数，甘油三酯，葡萄糖和身高的预测因子。这项研究提供了对墨西哥个体遗传史的深入了解，并剖析了他们复杂的性状结构，这对于在全球范围内实现精准和预防医学计划至关重要。墨西哥的全国基因组生物库从6,057个个体中揭示了人口统计学历史和复杂的性状结构。
Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype–phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide. Nationwide genomic biobank in Mexico unravels demographic history and complex trait architecture from 6,057 individuals.
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影响因子：
64.8
作者：
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者：
Marchini J
影响因子：
9.8
作者：
Browning, Sharon R.;Browning, Brian L.
通讯作者：
Browning, Brian L.
影响因子：
9.2
作者：
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者：
Lee JJ
影响因子：
2.1
作者：
Conomos MP;Miller MB;Thornton TA
通讯作者：
Thornton TA
影响因子：
2
作者：
Gelman, Andrew
通讯作者：
Gelman, Andrew