Luis Orlando Pérez, Anahi Ruderman, Juan Camilo Chacón-Duque, Kaustubh Adhikari, Maria-Cátira Bortolini, Victor Acuña-Alonzo, Samuel Canizales-Quinteros, Carla Gallo, Giovanni Poletti, Francisco Rothhammer, Winston Rojas, Andrés Ruiz-Linares, Rolando González-José
{"title":"与肥胖相关的多态性在墨西哥混合成年人样本中的分布。","authors":"Luis Orlando Pérez, Anahi Ruderman, Juan Camilo Chacón-Duque, Kaustubh Adhikari, Maria-Cátira Bortolini, Victor Acuña-Alonzo, Samuel Canizales-Quinteros, Carla Gallo, Giovanni Poletti, Francisco Rothhammer, Winston Rojas, Andrés Ruiz-Linares, Rolando González-José","doi":"10.1002/ajhb.70244","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>In Mexico, two-thirds of the adult population are overweight and almost a quarter are affected by obesity. These high obesity rates are primarily attributed to low-nutrient, high-calorie diets, reduced physical activity, and to a certain extent, genetic factors. Most genetic variants for obesity risk have been identified through studies based predominantly on European populations. This study examines the roles of subcontinental ancestry, genetic polymorphisms, and socio-environmental factors in anthropometric measures within an admixed Mexican population.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We analyzed a sample of 1195 adult volunteers from the CANDELA consortium. Regression models were used to assess the influence of subcontinental Native American ancestries, socioeconomic level (education and SES), and genetic background on body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Polygenic risk scores (PRS) were constructed for each index using established alleles.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>An increase in obesity indices was significantly associated with a higher proportion of Native American ancestry, particularly waist-to-hip ratio. Polygenic risk scores were significantly associated with all indices, with BMI showing the highest risk. The effect of obesity scores was not influenced by ancestry on any of the evaluated indices, although the average frequency of risk alleles was slightly inversely correlated with higher Native American ancestry content.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study highlights the challenges of assessing genetic predisposition to complex disease in admixed populations, where numerous factors contribute to observed differences, emphasizing the need to consider regional genetic diversity in obesity research.</p>\n </section>\n </div>","PeriodicalId":50809,"journal":{"name":"American Journal of Human Biology","volume":"38 3","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution of Polymorphisms Associated With Obesity in a Sample of Admixed Mexican Adults\",\"authors\":\"Luis Orlando Pérez, Anahi Ruderman, Juan Camilo Chacón-Duque, Kaustubh Adhikari, Maria-Cátira Bortolini, Victor Acuña-Alonzo, Samuel Canizales-Quinteros, Carla Gallo, Giovanni Poletti, Francisco Rothhammer, Winston Rojas, Andrés Ruiz-Linares, Rolando González-José\",\"doi\":\"10.1002/ajhb.70244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>In Mexico, two-thirds of the adult population are overweight and almost a quarter are affected by obesity. These high obesity rates are primarily attributed to low-nutrient, high-calorie diets, reduced physical activity, and to a certain extent, genetic factors. Most genetic variants for obesity risk have been identified through studies based predominantly on European populations. This study examines the roles of subcontinental ancestry, genetic polymorphisms, and socio-environmental factors in anthropometric measures within an admixed Mexican population.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We analyzed a sample of 1195 adult volunteers from the CANDELA consortium. Regression models were used to assess the influence of subcontinental Native American ancestries, socioeconomic level (education and SES), and genetic background on body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Polygenic risk scores (PRS) were constructed for each index using established alleles.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>An increase in obesity indices was significantly associated with a higher proportion of Native American ancestry, particularly waist-to-hip ratio. Polygenic risk scores were significantly associated with all indices, with BMI showing the highest risk. The effect of obesity scores was not influenced by ancestry on any of the evaluated indices, although the average frequency of risk alleles was slightly inversely correlated with higher Native American ancestry content.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study highlights the challenges of assessing genetic predisposition to complex disease in admixed populations, where numerous factors contribute to observed differences, emphasizing the need to consider regional genetic diversity in obesity research.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50809,\"journal\":{\"name\":\"American Journal of Human Biology\",\"volume\":\"38 3\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2026-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Human Biology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ajhb.70244\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Human Biology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ajhb.70244","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Distribution of Polymorphisms Associated With Obesity in a Sample of Admixed Mexican Adults
Objective
In Mexico, two-thirds of the adult population are overweight and almost a quarter are affected by obesity. These high obesity rates are primarily attributed to low-nutrient, high-calorie diets, reduced physical activity, and to a certain extent, genetic factors. Most genetic variants for obesity risk have been identified through studies based predominantly on European populations. This study examines the roles of subcontinental ancestry, genetic polymorphisms, and socio-environmental factors in anthropometric measures within an admixed Mexican population.
Methods
We analyzed a sample of 1195 adult volunteers from the CANDELA consortium. Regression models were used to assess the influence of subcontinental Native American ancestries, socioeconomic level (education and SES), and genetic background on body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Polygenic risk scores (PRS) were constructed for each index using established alleles.
Results
An increase in obesity indices was significantly associated with a higher proportion of Native American ancestry, particularly waist-to-hip ratio. Polygenic risk scores were significantly associated with all indices, with BMI showing the highest risk. The effect of obesity scores was not influenced by ancestry on any of the evaluated indices, although the average frequency of risk alleles was slightly inversely correlated with higher Native American ancestry content.
Conclusions
This study highlights the challenges of assessing genetic predisposition to complex disease in admixed populations, where numerous factors contribute to observed differences, emphasizing the need to consider regional genetic diversity in obesity research.
期刊介绍:
The American Journal of Human Biology is the Official Journal of the Human Biology Association.
The American Journal of Human Biology is a bimonthly, peer-reviewed, internationally circulated journal that publishes reports of original research, theoretical articles and timely reviews, and brief communications in the interdisciplinary field of human biology. As the official journal of the Human Biology Association, the Journal also publishes abstracts of research presented at its annual scientific meeting and book reviews relevant to the field.
The Journal seeks scholarly manuscripts that address all aspects of human biology, health, and disease, particularly those that stress comparative, developmental, ecological, or evolutionary perspectives. The transdisciplinary areas covered in the Journal include, but are not limited to, epidemiology, genetic variation, population biology and demography, physiology, anatomy, nutrition, growth and aging, physical performance, physical activity and fitness, ecology, and evolution, along with their interactions. The Journal publishes basic, applied, and methodologically oriented research from all areas, including measurement, analytical techniques and strategies, and computer applications in human biology.
Like many other biologically oriented disciplines, the field of human biology has undergone considerable growth and diversification in recent years, and the expansion of the aims and scope of the Journal is a reflection of this growth and membership diversification.
The Journal is committed to prompt review, and priority publication is given to manuscripts with novel or timely findings, and to manuscripts of unusual interest.