The existence of osteoarthritis susceptibility loci on chromosome 6 for individuals suffering from hip and knee osteoarthritis has been suggested. We determined whether radiographic hand osteoarthritis in a demographically homogeneous population of European origin can be linked to loci on chromosome 6p12.3–p12.1. Nine single nucleotide polymorphisms (SNPs) were genotyped in 764 individuals (members of 189 nuclear and more complex two- or three-generation families). Radiographic hand osteoarthritis was characterized by two traits: (1) the total individual osteoarthritis score (PC1-OA) and (2) the osteophytes score (PC1-OS), obtained from the principal components analysis of sums of the Kellgren and Lawrence grade and of the osteophyte grades, respectively, for 14 joints on each hand. The contribution of genetic and environmental factors and of covariates such as age and body mass index to hand osteoarthritis was evaluated by variance components analysis. The association between the studied traits and selected DNA markers was evaluated by three types of transmission disequilibrium tests. The parent-offspring and sib-sib correlations were statistically significant for all studied traits. The additive genetic effects for PC1-OA and PC1-OS were estimated to be 43% and 37.9%, respectively. Transmission disequilibrium tests consistently revealed a statistically significant association (p values ranged from 0.017 to 0.030) between SNP rs1508632 and PC1-OS. In the tested cohort the putative genetic factors are influential enough to determine interindividual differences regarding the extent of hand osteoarthritis. SNP rs1508632 lies in immediate proximity to the TINAG gene, implicating it as a possible hand osteoarthritis susceptibility gene.

To explore the magnitude of common genetic and environmental effects shared by bone mineral density (BMD) and bone size (BS) in a large sample of 4,489 subjects (2,667 females and 1,822 males) from 582 Caucasian pedigrees, we performed a bivariate variance decomposition analysis to evaluate genetic correlation (ρ_G), environmental correlation (ρ_E), and phenotypic correlation (ρ_P) between BMD and BS at the spine and hip, as well as their “synthesized” skeletal site (bone mineral density principal component, bone size principal component) generated by principal components analysis. Significant ρ_G,ρ_E, and ρ_P were detected, but the shared genetic influence on BMD and BS was only 21%, 1.3%, and 11.6% at the spine, hip, and their joint variable, respectively. The results suggest that it may be important to choose both BMD and BS, especially at the hip, as surrogate phenotypes for osteoporosis genetic studies in Caucasians.

The study of evolutionary relationships among human populations is fundamental to inferring processes that determine their structure and history. Among the different data types used to infer such relationships, molecular data, particularly nuclear and mitochondrial DNA, are preferred because of their high heritability and the low probability of changes during development. However, although the reliability of relatedness patterns based on other traits is discussed, except in unusual circumstances most prehistoric populations remain within the domain of morphological study. Therefore the primary goal of this study is to test the reliability of relatedness patterns constructed on the basis of craniometric data on a regional scale. In particular, we analyze samples from populations belonging to the Chaco, Pampa, and Patagonia regions of South America for which craniometric and molecular data are available. We compare a strongly supported relatedness pattern based on molecular data with the results obtained through landmark-based and semilandmark-based facial data. The matrices based on Euclidean distance for morphometric data and D_A distances for molecular data were used to perform principal coordinates analyses and to obtain reticulograms. Finally, a principal components analysis of all individuals was performed with morphometric data. The results indicate that ordination analyses yield slightly different results depending on the morphometric data used. However, the reticulograms obtained with both landmark-based and semilandmark-based data allow the separation of the Chubut samples from the Chaco samples, with the Pampa sample in between the others; this pattern is congruent with molecular-based analyses. As a consequence, our results indicate that facial morphometric data allow the inference of the structure and history of the prehistoric populations for the studied region.

Three main ethnic groups live in the South American country of Ecuador: Mestizos, Amerindian natives, and African-derived populations, or Afro-Ecuadorans. Mestizos and Afro-Ecuadorans can be considered trihybrid populations containing genes originating in the Americas, Europe, and Africa, as is the case with equivalent populations in other Latin American countries. The proportion and the dynamics of the admixture process remain unknown. However, a certain sex asymmetry of the admixture process can be expected for historical reasons. We typed 11 Y-chromosome short tandem repeats (STRs) in these three ethnic groups to provide adequate allele and haplotype frequencies for forensic genetic purposes and to quantify admixture proportions in male lineages. In addition, a data set of 15 autosomal STRs in the same samples were reanalyzed for the same purpose. Contributions to Mestizo Y chromosomes were estimated to be 70% European, 28% Amerindian, and 2% African, whereas in autosomes the contributions were 19%, 73%, and 8%, respectively, which underlines the sexual asymmetry in mating, with Europeans contributing mostly males. European Y-chromosome haplotypes in Mestizos were similar to those in Spain. Moreover, about 10% of European Y chromosomes were found in the Amerindian Kichwa. As for Afro-Ecuadorans, their contributions to the male line are 44% African, 31% European, and 15% Native American; the last value is the highest percentage reported so far for an African-derived American group. Autosomal admixture was estimated as 56% African, 16% European, and 28% Amerindian.

The frequencies of the ΔF508 deletion, the most common cystic fibrosis mutation in Europeans and European-derived populations, and the XV2C and KM19 restriction fragment length polymorphisms that are tightly linked to the CFTR locus vary among populations. To determine the distribution of these extragenic markers and of the ΔF508 mutation, we analyzed 326 chromosomes of individuals from two South American Indian populations, the Guarani and the Kaingang. The allele and haplotype frequencies differed greatly between the two populations as well as among Amerindians and normal European Brazilians and European Brazilian cystic fibrosis patients. The absence of the ΔF508 mutation and the B haplotype are in agreement with the hypothesis that the ΔF508 mutation occurred after the divergence of these two populations. This finding is useful for populations containing a large Amerindian component and helps us to understand the origins of the ΔF508 deletion, the most common cystic fibrosis mutation in Europeans and European-derived populations, as well as the different incidences of cystic fibrosis in continental groups.

Apolipoprotein E (APOE) polymorphism is a predictor of interindividual variability in plasma levels of lipids and lipoproteins and a predictor of risk of coronary artery disease (CAD). We studied the relationship between APOE polymorphism and lipid profiles and risk of CAD in Omani dyslipidemic patients. This retrospective study included 244 dyslipidemic patients, of whom 67 had CAD. Fasting blood glucose, lipids, and plasma lipoprotein levels were measured using standard methods, and APOE genotypes were detected by PCR-RFLP. The dyslipidemic patients had the following APOE allele frequencies: APOE*2, 0.030; APOE*3, 0.894; and APOE*4, 0.076. APOE allele frequencies between patients with and without CAD showed no significant differences. Compared to APOE*3/*3 homozygotes, APOE*4 allele patients had higher mean levels of low-density lipoprotein (LDL) cholesterol (p = 0.014), apoB (p = 0.031), lower mean levels of apoA1 (p = 0.043), and a trend of higher mean level of total cholesterol (p = 0.084). Thirty-one percent of patients with CAD had the APOE*4 allele compared to 26% with the APOE*3 allele, but this difference was not significant. Compared with APOE*3/*3 homozygotes, patients with the APOE*4 allele had 1.3 times higher risk for CAD after ignoring dyslipidemia, but this risk was modified after adjusting for dyslipidemia. In conclusion, among dyslipidemic patients, carriers of APOE*4 compared to homozygous carriers of APOE*3 had significantly higher levels of LDL cholesterol and apoB, but no relationship with CAD was found.

Uncoupling protein 2 (UCP2) is a member of the mitochondrial transporter superfamily. It is proposed as a candidate gene for obesity. A common G/A polymorphism in the promoter region of this gene is associated with enhanced adipose tissue mRNA expression in vivo. Using a PCR-RFLP method, we genotyped the UCP2 –866G/A polymorphism in 75 unrelated nonobese nondiabetic Iranians. The frequencies of the UCP2 –866G/A genotypes in 75 Iranian normal subjects were 7 (9.4%) for AA, 41 (54.6%) for GA, and 27 (36%) for GG. Significantly higher HDL cholesterol was detected in people with the GG genotype (p = 0.02) compared to individuals with the GA and AA genotypes. The frequency distribution results were compared with data from Japanese, Italians, Germans, Austrians, and Danes. Our allele frequencies were significantly different from the Japanese data from two different reports (P <0.025) but not from the others. The Japanese data showed a higher frequency of the AA genotype, which is associated with a low prevalence of obesity, than the Caucasian individuals' data did. In conclusion, a single nucleotide polymorphism in the promoter region of the UCP2 gene has a significant association with HDL cholesterol level in Iranian nonobese non-diabetic subjects. Also, our allele-frequency distribution for this single nucleotide polymorphism is closer to European Caucasians than to Japanese in nonobese nondiabetic individuals.

Previous studies have sought to associate the Pro12Ala variant of the peroxisome proliferator-activated receptor γ2 (PPARG2) gene with type 2 diabetes, insulin resistance, and obesity, with controversial results. We have determined the Pro12Ala variant frequency in 370 nondiabetic Mexican Mestizo subjects and in five Mexican Amerindian groups and have investigated its possible association with lipid metabolism, insulin serum levels, and obesity in three of these populations. Two independent case-control studies were conducted in 239 nondiabetic individuals: 135 case subjects (BMI ≥ 25 kg/m²) and 104 control subjects (BMI <25 kg/m²). The PPARG2 Ala12 allele frequency was higher in most Amerindian populations (0.17 in Yaquis, 0.16 in Mazahuas, 0.16 in Mayans, and 0.20 in Triquis) than in Asians, African Americans, and Caucasians. The Pro12Ala and Ala12Ala (X12Ala) genotypes were significantly associated with greater BMI in Mexican Mestizos and in two Amerindian groups. X12Ala individuals had a higher risk of overweight or obesity than noncarriers in Mestizos (OR = 3.67; 95% CI, 1.42–9.48; p = 0.007) and in Yaquis plus Mazahuas (OR = 3.21; 95% CI, 1.27–8.11; p = 0.013). Our results provide further support of the association between the PPARG2 Ala12 allele and risk of overweight or obesity in Mestizos and two Amerindian populations from Mexico.

Cardiovascular disease (CVD) is a major cause of mortality in the Republic of Mexico, and metabolic syndrome, a complex of CVD risk factors, is increasingly prevalent. To date, however, there have been few studies of the genetic epidemiology of metabolic syndrome in Mexico. As a first step in implementing the GEMM Family Study, a large, multicenter collaborative study, we recruited 375 individuals in 21 extended families, without ascertainment on disease, at 9 medical institutions across Mexico. Participants were measured for anthropometric (stature, weight, waist circumference) and hemodynamic (blood pressure, heart rate) phenotypes; glucose, cholesterol, and triglyceride levels were measured in fasting blood. Variance components–based quantitative genetic analyses were performed using SOLAR. All phenotypes except diastolic blood pressure were significantly heritable. Consistent with the definition of metabolic syndrome, many phenotypes exhibited significant environmental correlation, and significant genetic correlations were found between measures of adiposity and fasting glucose and fasting triglyceride levels. These preliminary data represent the first heritability estimates for many of these phenotypes in the Republic of Mexico and indicate that this study design offers excellent power for future gene discovery relative to metabolic disease.

The glutathione S-transferase gene family has an important role in the biotransformation and detoxification of different xenobiotics and endogenous compounds. Two polymorphic genes of this family, GSTM1 and GSTT1, present null alleles that consequently do not produce the respective enzyme when the genotype is homozygous. These polymorphisms are also interesting for population dynamics studies because they have great frequency variations among different ethnic groups and have been reported worldwide. The distribution of these alleles in urban and Amerindian populations in Brazil has been described, but none of those studies reported on African-descended rural populations. The aim of this study was to analyze the genotype frequency distribution of the GSTM1 and GSTT1 null alleles in an urban sample from the Federal District (n = 91) and in four semi-isolated African-descended populations: Mocambo (n = 55), Rio das Rãs (n = 117), Riacho de Sacutiaba (n = 34), and Kalunga (n = 68). The GSTM1 and GSTT1 null genotype frequencies in these populations range from 17% to 35% for GSTM1 and from 22% to 44% for GSTT1. These values are similar to those described in other African and African-descended populations. Despite this range, there is no distribution difference among the analyzed populations. Combined GSTM1 and GSTT1 null genotype frequencies range from 6% to 13% and are similar to European-derived populations, suggesting admixture with this ethnic group. This can be interpreted as a European contribution to these African-descended populations. Regarding the urban population in the Federal District, our results suggest an important African and European contribution.