Selection scan in Native Americans of Mexico identifies FADS2 rs174616: Evidence of gene-diet interactions affecting lipid levels and Delta-6-desaturase activity
Sandra Romero-Hidalgo,
Janine Sagaceta-Mejía,
Marisela Villalobos-Comparán,
María Elizabeth Tejero,
Mayra Domínguez-Pérez,
Leonor Jacobo-Albavera,
Rosalinda Posadas-Sánchez,
Gilberto Vargas-Alarcón,
Carlos Posadas-Romero,
Luis Macías-Kauffer,
Felipe Vadillo-Ortega,
Miguel Angel Contreras-Sieck,
Víctor Acuña-Alonzo,
Rodrigo Barquera,
Gastón Macín,
Aristea Binia,
Jose Guadalupe Guevara-Chávez,
Leticia Sebastián-Medina,
Martha Menjívar,
Samuel Canizales-Quinteros,
Alessandra Carnevale,
Teresa Villarreal-Molina
Affiliations
Sandra Romero-Hidalgo
Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico; Corresponding author.
Janine Sagaceta-Mejía
Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Marisela Villalobos-Comparán
Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
María Elizabeth Tejero
Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Mayra Domínguez-Pérez
Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Leonor Jacobo-Albavera
Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Rosalinda Posadas-Sánchez
Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
Gilberto Vargas-Alarcón
Departmento de Biología Molecular y Dirección de Investigación, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico
Carlos Posadas-Romero
Departamento de Endocrinología, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City, Mexico
Luis Macías-Kauffer
Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Felipe Vadillo-Ortega
Unidad de Vinculación de la Facultad de Medicina UNAM en el Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Miguel Angel Contreras-Sieck
Laboratorio de Genética Molecular, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
Víctor Acuña-Alonzo
Laboratorio de Genética Molecular, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
Rodrigo Barquera
Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany; Anthropology (MPI-EVA), Leipzig, Germany
Gastón Macín
Escuela Nacional de Antropología e Historia, Mexico City, Mexico
Aristea Binia
Nestlé Institute of Health Sciences, Innovation Park, EPFL, Lausanne, Switzerland
Jose Guadalupe Guevara-Chávez
Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Leticia Sebastián-Medina
Laboratorio de Nutrigenética y Nutrigenómica, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Martha Menjívar
Departamento de Biología, Facultad de Química UNAM, Mexico City and Unidad Académica de Ciencias y Tecnología, UNAM-Yucatán, Mérida, Mexico
Samuel Canizales-Quinteros
Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química UNAM e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Alessandra Carnevale
Laboratorio de Enfermedades Mendelianas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
Teresa Villarreal-Molina
Laboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica, Mexico City, Mexico; Corresponding author.
Searching for positive selection signals across genomes has identified functional genetic variants responding to environmental change. In Native Americans of Mexico, we used the fixation index (Fst) and population branch statistic (PBS) to identify SNPs suggesting positive selection. The 103 most differentiated SNPs were tested for associations with metabolic traits, the most significant association was FADS2/rs174616 with body mass index (BMI). This variant lies within a linkage disequilibrium (LD) block independent of previously reported FADS selection signals and has not been clearly associated with metabolic phenotypes. We tested this variant in two independent cohorts with cardiometabolic data. In the Genetics of Atherosclerotic Disease (GEA) cohort, the derived allele (T) was associated with increased BMI, lower LDL-C levels and a decreased risk of subclinical atherosclerosis in women. Significant gene-diet interactions affected lipid, apolipoprotein and adiponectin levels with differences according to sex, involving mainly total and complex dietary carbohydrate%. In the Genotype-related Effects of PUFA trial, the derived allele was associated with lower Δ-6 desaturase activity and erythrocyte membrane dihomo-gamma-linolenic acid (DGLA) levels, and with increased Δ-5 desaturase activity and eicosapentaenoic acid levels. This variant interacted with dietary carbohydrate% affecting Δ-6 desaturase activity. Notably, the relationship of DGLA and other erythrocyte membrane LC-PUFA indices with HOMA-IR differed according to rs174616 genotype, which has implications regarding how these indices should be interpreted. In conclusion, this observational study identified rs174616 as a signal suggesting selection in an independent linkage disequilibrium block, was associated with cardiometabolic and erythrocyte measurements of LC-PUFA in two independent Mexican cohorts and showed significant gene-diet interactions.