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Ethics. Human subjects: All cohort participants gave written informed consent and consent to publish. Ethical approvals were provided for the Rotterdam Study according to the Population Study Act Rotterdam Study (Wet Bevolkingsonderzoek ERGO) executed by the Ministry of Health, Welfare and Sports of the Netherlands, for the TwinsUK study by the St. Thomas’ Hospital Local Research Ethics Committee, for the QIMR study by the Queensland Institute of Medical Research Human Research Ethics Committee, and...

[This corrects the article DOI: 10.1016/j.xhgg.2022.100099.].

Hispanic/Latinos have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits despite their notable anthropometric variability, ancestry proportions, and high burden of growth stunting and overweight/obesity. To address this knowledge gap, we analyzed densely imputed genetic data in a sample of Hispanic/Latino adults to identify and fine-map genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). We conducted a GWAS of 18 studies/consortia as part of the Hispanic/Latino Anthropometry (HISLA) Consortium (stage 1, n= 59,771) and generalized our findings in 9 additional studies (stage 2, n= 10,538). We conducted a trans-ancestral GWAS with summary statistics from HISLA stage 1 and existing consortia of European and African ancestries. In our HISLA stage 1 + 2 analyses, we discovered one BMI locus, as well as two BMI signals and another height signal each within established anthropometric loci. In our trans-ancestral meta-analysis, we discovered three BMI loci, one height locus, and one WHRadjBMI locus. We also identified 3 secondary signals for BMI, 28 for height, and 2 for WHRadjBMI in established loci. We show that 336 known BMI, 1,177 known height, and 143 known WHRadjBMI (combined) SNPs demonstrated suggestive transferability (nominal significance and effect estimate directional consistency) in Hispanic/Latino adults. Of these, 36 BMI, 124 height, and 11 WHRadjBMI SNPs were significant after trait-specific Bonferroni correction. Trans-ancestral meta-analysis of the three ancestries showed a small-to-moderate impact of uncorrected population stratification on the resulting effect size estimates. Our findings demonstrate that future studies may also benefit from leveraging diverse ancestries and differences in linkage disequilibrium patterns to discover novel loci and additional signals with less residual population stratification.

Most population isolates examined to date were founded from a single ancestral population. Consequently, there is limited knowledge about the demographic history of admixed population isolates. Here we investigate genomic diversity of recently admixed population isolates from Costa Rica and Colombia and compare their diversity to a benchmark population isolate, the Finnish. These Latin American isolates originated during the 16th century from admixture between a few hundred European males and Amerindian females, with a limited contribution from African founders. We examine whole-genome sequence data from 449 individuals, ascertained as families to build mutigenerational pedigrees, with a mean sequencing depth of coverage of approximately 36×. We find that Latin American isolates have increased genetic diversity relative to the Finnish. However, there is an increase in the amount of identity by descent (IBD) segments in the Latin American isolates relative to the Finnish. The increase in IBD segments is likely a consequence of a very recent and severe population bottleneck during the founding of the admixed population isolates. Furthermore, the proportion of the genome that falls within a long run of homozygosity (ROH) in Costa Rican and Colombian individuals is significantly greater than that in the Finnish, suggesting more recent consanguinity in the Latin American isolates relative to that seen in the Finnish. Lastly, we find that recent consanguinity increased the number of deleterious variants found in the homozygous state, which is relevant if deleterious variants are recessive. Our study suggests that there is no single genetic signature of a population isolate.

Objectives: This article aims to assess the contribution of genomic ancestry and socioeconomic status to obesity in a sample of admixed Latin Americans. Methods: The study comprised 6776 adult volunteers from Brazil, Chile, Colombia, Mexico, and Peru. Each volunteer completed a questionnaire about socioeconomic variables. Anthropometric variables such as weight, height, waist, and hip circumference were measured to calculate body indices: body mass index, waist-to-hip ratio and waist-to-height ratio (WHtR). Genetic data were extracted from blood samples, and ancestry was estimated using chip genotypes. Multiple linear regression was used to evaluate the relationship between the indices and ancestry, educational level, and economic well-being. The body indices were dichotomized to obesity indices by using appropriate thresholds. Odds ratios were calculated for each obesity index. Results: The sample showed high percentages of obesity by all measurements. However, indices did not overlap consistently when classifying obesity. WHtR resulted in the highest prevalence of obesity. Overall, women with low education level and men with high economic wellness were more likely to be obese. American ancestry was statistically associated with obesity indices, although to a lesser extent than socioeconomic variables. Conclusions: The proportion of obesity was heavily dependent on the index and the population. Genomic ancestry has a significant influence on the anthropometric measurements, especially on central adiposity. As a whole, we detected a large interpopulation variation that suggests that better approaches to overweight and obesity phenotypes are needed in order to obtain more precise reference values. Fil: Ruderman, Anahí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina Fil: Perez, Luis Orlando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina Fil: Adhikari, Kaustubh. Colegio Universitario de Londres; Reino Unido. Open University; Reino Unido Fil: Navarro, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina Fil: Ramallo, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; Perú Fil: Poletti, Giovanni. Universidad Peruana Cayetano Heredia; Perú Fil: Bedoya Berrío, Gabriel. Universidad de Antioquia; Colombia Fil: Bortolini, María Cátira. Universidade Federal do Rio Grande do Sul; Brasil Fil: Acuña Alonzo, Victor. Instituto Nacional de Antropología E Historia; México Fil: Canizales Quinteros, Samuel. Instituto Nacional de Medicina Genómica; México Fil: Rothhammer, Francisco. Universidad de Chile; Chile Fil: Ruiz-Linares, Andres. Colegio Universitario de Londres; Reino Unido. Fudan University; China Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina

Sequence of primer used to PCR. Table S2. Ancestral informative Markers (AIMs), allelic frequencies and delta (δ) of frequencies in the three ancestral populations (European, African and Amerindian). Table S3. Characteristics of the study population, stratified according to gender. Table S4. Association with anthropometric measures at 10 selected genetic variants on the subset of the samples with available ancestry information. Table S5. Interaction between SNP and socioeconomic and perinatal factors in determining body mass index. Figure S1. The histogram of body mass index, body fat percentage and waist circumference by gender. (DOCX 123 kb)

Prevalence of diseases/trait cardio-metabolic, Age standardized estimate by region. Table S2. Ancestral informative Markers (AIMs), allelic frequencies and delta (δ) of frequencies in the three ancestral populations (European, African and Amerindian). Table S3. Sequence of primers and amplification parameters of the ancestry informative markers (AIMs). Table S4. Individual ancestral composition. Figure S1. Individual ancestral composition. (DOCX 155 kb)

The current genetic makeup of Latin America has been shaped by a history of extensive admixture between Africans, Europeans and Native Americans, a process taking place within the context of extensive geographic and social stratification. We estimated individual ancestry proportions in a sample of 7,342 subjects ascertained in five countries (Brazil, Chile, Colombia, México and Perú). These individuals were also characterized for a range of physical appearance traits and for self-perception of ancestry. The geographic distribution of admixture proportions in this sample reveals extensive population structure, illustrating the continuing impact of demographic history on the genetic diversity of Latin America. Significant ancestry effects were detected for most phenotypes studied. However, ancestry generally explains only a modest proportion of total phenotypic variation. Genetically estimated and self-perceived ancestry correlate significantly, but certain physical attributes have a strong impact on self-perception and bias self-perception of ancestry relative to genetically estimated ancestry., Author Summary Latin America has a history of extensive mixing between Native Americans and people arriving from Europe and Africa. As a result, individuals in the region have a highly heterogeneous genetic background and show great variation in physical appearance. Latin America offers an excellent opportunity to examine the genetic basis of the differentiation in physical appearance between Africans, Europeans and Native Americans. The region is also an advantageous setting in which to examine the interplay of genetic, physical and social factors in relation to ethnic/racial self-perception. Here we present the most extensive analysis of genetic ancestry, physical diversity and self-perception of ancestry yet conducted in Latin America. We find significant geographic variation in ancestry across the region, this variation being consistent with demographic history and census information. We show that genetic ancestry impacts many aspects of physical appearance. We observe that self-perception is highly influenced by physical appearance, and that variation in physical appearance biases self-perception of ancestry relative to genetically estimated ancestry.

The peopling of the Americas has been the subject of extensive genetic, archaeological and linguistic research; however, central questions remain unresolved. One contentious issue is whether the settlement occurred by means of a single migration or multiple streams of migration from Siberia. The pattern of dispersals within the Americas is also poorly understood. To address these questions at a higher resolution than was previously possible, we assembled data from 52 Native American and 17 Siberian groups genotyped at 364,470 single nucleotide polymorphisms. Here we show that Native Americans descend from at least three streams of Asian gene flow. Most descend entirely from a single ancestral population that we call 'First American'. However, speakers of Eskimo-Aleut languages from the Arctic inherit almost half their ancestry from a second stream of Asian gene flow, and the Na-Dene-speaking Chipewyan from Canada inherit roughly one-tenth of their ancestry from a third stream. We show that the initial peopling followed a southward expansion facilitated by the coast, with sequential population splits and little gene flow after divergence, especially in South America. A major exception is in Chibchan speakers on both sides of the Panama isthmus, who have ancestry from both North and South America.

Objetivo: validar la entrevista diagnóstica para estudios genéticos (DIGS 3.0) en Colombia. Métodos: se hicieron dos traducciones del inglés al español del DIGS y se hizo traducción en sentido inverso (al inglés) de cada una. Un comité de revisión verificó la equivalencia translingüística y transcultural. Se evaluó la confiabilidad examen-reexamen e interevaluador del DIGS 3.0 en 65 y 91 pacientes, respectivamente, mediante el cálculo de kappa de Cohen. Resultados: el DIGS 3.0 mostró ser comprensible, con validez de apariencia y de contenido. La confiabilidad interevaluador fue excelente para esquizofrenia (kapa=0,81, IC95%: 0,68-0,93), trastorno bipolar (kapa=0,87, IC95%: 0,75-0,99), trastorno depresivo mayor (kapa=0,86, IC95%: 0,7- 1) y ausencia de trastorno psiquiátrico (kapa=0,88, IC95%: 0,71-1); fue buena para otro diagnóstico psiquiátrico (kapa=0,65, IC95%: 0,41-0,89) y pobre para trastorno esquizoafectivo (kapa=0,37, IC95%: -0,02-0,76). La confiabilidad examen-reexamen fue excelente para todos los diagnósticos (kapa>0,8), excepto para otro diagnóstico psiquiátrico (kapa=0,64, IC95%: 0,31-0,96), donde fue buena. Conclusiones: la versión en español del DIGS para Colombia mostró comprensibilidad, validez de apariencia y de contenido, y confiabilidad examen-reexamen e interevaluador. Es una herramienta útil para estudios genéticos en esquizofrenia y en trastornos afectivos. An interview tool, Diagnostic Interview for Genetic Studies (DIGS 3.0), was translated into Spanish for application in studies of psychiatric disorders in Colombia. Two Spanish translations of the original English version of DIGS were prepared and backtranslated into English. A review committee verified the linguistic and cultural equivalence of the translations. The evaluator and test-retest reliability were assessed calculating Cohen’s kappa for samples of 65 and 91 patients respectively. DIGS proved valid in both appearance and content. The confidence interval (C.I.) was excellent for schizophrenia (kappa=0.81, C.I. 95% = 0.68-0.93), bipolar disorder (kappa=0.87, C.I. 95% = 0.75-0.99), major depressive disorder (kappa=0.86, C.I. 95% = 0.70-1.00), and for a normal diagnosis (kappa=0.65, C.I. 95% = 0.41-0.89); it was good for other psychiatric diagnosis (kappa=0.65, C.I. 95% = 0.41-0.89) and poor for schizoaffective disorder (kappa=0.37, C.I. 95% = -0.02-0.76). Test-retest reliability was excellent for all diagnoses (kappa>0.8), except for "other psychiatric diagnoses" (kappa=0.64, C.I. 95% = 0.31-0.96). The Spanish translation of the DIGS was comprehensible, with face and content validity, and good test-retest and evaluator reliability. This translation will be a useful tool for genetic studies of psychiatric disorders in Latin America, particularly where schizophrenia and affective disorders are involved.