The Mexican Biobank Project promotes genetic discovery, inclusive science and local capacity building

Disease Models & Mechanisms, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 1, 2024

ABSTRACT Diversifying genotype–phenotype databases is essential to understanding complex trait and disease etiology across different environments genetic ancestries. The rise of biobanks the world helping reveal environmental architecture multiple traits but diversity they capture remains limited. To help close this gap, Mexican Biobank (MXB) Project was recently generated, has already revealed fine-scale ancestries demographic histories country, their impact on trait-relevant variation. This will guide future epidemiology public health efforts, also improved polygenic prediction for several in populations compared with using data from other genome-wide association studies, such as UK Biobank. MXB illustrates importance transnational initiatives funding calls that prioritize local leadership capacity building move towards inclusive genomic science.

Language: Английский

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STAT4 Gene Variant rs7574865 Is Associated with Rheumatoid Arthritis Activity and Anti-CCP Levels in the Western but Not in the Southern Population of Mexico

Genes, Journal Year: 2024, Volume and Issue: 15(2), P. 241 - 241

Published: Feb. 14, 2024

Rheumatoid Arthritis (RA) is a multifactorial autoimmune disease. Currently, several genes play an important role in the development of The objective was to evaluate association STAT4 rs7574865 and rs897200 gene variants with RA susceptibility, DAS28, RF, anti-CCP Western Southern Mexico populations. Genotyping performed on 476 samples (cases = 240; controls 236) using Taqman® system qPCR probes. Disease activity assessed DAS28 HAQ DI. CRP, ESR, were determined for clinical assessment. Our study showed there statistically significant susceptibility variant population GT TT genotypes. same genotypes also moderate-to-high according positive compared control group. This not found population. work confirms RA, as well but No any studied

Language: Английский

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Towards Simulation Optimization: An Examination of the Impact of Scaling on Coalescent and Forward Simulations

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 29, 2024

Abstract Scaling is a common practice in population genetic simulations to increase computational efficiency. However, there exists dearth of standardized guidelines for best practices. Few studies have examined the effects scaling on diversity and whether results are directly comparable unscaled empirical data. We examine two model populations, modern humans Drosophila melanogaster . The reason twofold: 1) due substantial difference sizes generation times, human populations require moderate-to-no scaling, while more dramatic required ; 2) data comparison. determine coalescence, runtime, memory, estimates diversity, site frequency spectra, deleterious variation affected by scaling. also explore effect varying simulated segment length burn-in times. find that typical 10N often not sufficient full coalescence occur or simulations. As expected, memory runtime as coefficient decreases increases. show simulating larger segments preferable, it produces smaller variance estimates. Conversely, preferable simulate concatenate them into genome achieving levels aggressive leads stronger negative selection ultimately amplifies strength background flanking variation. Author Summary approach make computationally tractable. implications practices still unknown. This study highlights importance carefully considering forward-in-time genetics provide insights about trade-offs between efficiency accuracy scaled relative data, achieved this species demographic model; method coalescence; genomic element length; factor. For each combination parameters was quantified tracked. Our findings suggest when such humans, where moderate required, one should accurate measures diversity. seems cause an inflation On other hand, , advantageous. factor increases substantially studies, experiences drastic drop increased purifying selection.

Language: Английский

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Personalized medicine and nutrition in hepatology for preventing chronic liver disease in Mexico

Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 11

Published: May 9, 2024

Chronic liver disease is a global health issue. Patients with chronic require fresh approach that focuses on the genetic and environmental factors contribute to initiation progression. Emerging knowledge in fields of Genomic Medicine Nutrition demonstrates differences between countries terms genetics lifestyle risk such as diet, physical activity, mental disease, which serves foundation for implementation Personalized (PerMed-Nut) strategies. Most world’s populations have descended from various ethnic groupings. Mexico’s population has tripartite ancestral background, consisting Amerindian, European, African lineages, common across Latin America’s regional countries. The purpose this review discuss components could be incorporated into PerMed-Nut model metabolic-associated viral hepatitis B C, hepatocellular carcinoma Mexico. Additionally, will updated medicine nutrition education curricula. Training equipping future professionals researchers new clinical investigative abilities focused preventing illnesses field genomic hepatology globally vision clinicians nutritionists should concerned about.

Language: Английский

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The need to diversify genomic studies: Insights from Andean highlanders and Amazonians

Cell, Journal Year: 2024, Volume and Issue: 187(18), P. 4819 - 4823

Published: Aug. 8, 2024

Language: Английский

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