1
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Mandape SN, Budowle B, McKiernan H, Slack D, Mittelman S, Mittelman K, Mittelman D. Dense SNP-based analyses complement forensic anthropology biogeographical ancestry assessments. Forensic Sci Int Genet 2024; 74:103147. [PMID: 39270546 DOI: 10.1016/j.fsigen.2024.103147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 09/05/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024]
Abstract
Identification of unidentified human remains (UHRs) is crucial yet challenging, especially with traditional forensic techniques. Forensic anthropological examinations can yield ancestry estimations; however, the utility of these estimates is limited by the data points that can be collected from partial remains, complexities of admixture, and variation of phenotypic expression due to environmental effects. While it is generally known that anthropological estimates can be imprecise, the performance of these methods has not been studied at scale. Genome-wide SNP testing is an orthogonal approach for estimating ancestry and offers a unique opportunity to measure the magnitude of anthropological ancestry misattribution. Genomic ancestry inference leverages principal component analysis (PCA) and model-based clustering approaches. This study compares anthropologically determined ancestry with those estimated using genome-wide SNP markers. A dataset of 611 UHR samples with publicly available ancestry assessments from National Missing and Unidentified Persons System (NamUs) was analyzed. The genetic ancestry approach, validated against reference population samples, offers robust ancestry calculations for major population groups. Inconsistency between anthropological and genomic ancestry assignments were observed, particularly for admixed populations. Although forensic anthropological examinations remain valuable, their limitations emphasize the need for refinement and enhancement through the augmentation of SNP-based analyses. Further validation studies are crucial to define the uncertainty associated with both anthropological and genome-based ancestry estimates to resolve cases and aid law enforcement investigations. Additionally, current policy and practices for reporting ancestry for UHRs should be revisited to reduce potential misinformation.
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Affiliation(s)
| | - Bruce Budowle
- Othram Inc., The Woodlands, TX, USA; Department of Forensic Medicine, University of Helsinki, Finland; Forensic Science Institute, Radford University, Radford, VA, USA
| | | | - Donia Slack
- RTI International, Research Triangle Park, NC, USA
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2
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Fu H, Shi G. Local Ancestry Inference Based on Population-Specific Single-Nucleotide Polymorphisms-A Study of Admixed Populations in the 1000 Genomes Project. Genes (Basel) 2024; 15:1099. [PMID: 39202458 PMCID: PMC11353365 DOI: 10.3390/genes15081099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 08/09/2024] [Accepted: 08/19/2024] [Indexed: 09/03/2024] Open
Abstract
Human populations have interacted throughout history, and a considerable portion of modern human populations show evidence of admixture. Local ancestry inference (LAI) is focused on detecting the genetic ancestry of chromosomal segments in admixed individuals and has wide applications. In this work, we proposed a new LAI method based on population-specific single-nucleotide polymorphisms (SNPs) and applied it in the analysis of admixed populations in the 1000 Genomes Project (1KGP). Based on population-specific SNPs in a sliding window, we computed local ancestry information vectors, which are moment estimators of local ancestral proportions, for two haplotypes of an admixed individual and inferred the local ancestral origins. Then we used African (AFR), East Asian (EAS), European (EUR) and South Asian (SAS) populations from the 1KGP and indigenous American (AMR) populations from the Human Genome Diversity Project (HGDP) as reference populations and conducted the proposed LAI analysis on African American populations and American populations in the 1KGP. The results were compared with those obtained by RFMix, G-Nomix and FLARE. We demonstrated that the existence of alleles in a chromosomal region that are specific to a particular reference population and the absence of alleles specific to the other reference populations provide reasonable evidence for determining the ancestral origin of the region. Contemporary AFR, AMR and EUR populations approximate ancestral populations of the admixed populations well, and the results from RFMix, G-Nomix and FLARE largely agree with those from the Ancestral Spectrum Analyzer (ASA), in which the proposed method was implemented. When admixtures are ancient and contemporary reference populations do not satisfactorily approximate ancestral populations, the performances of RFMix, G-Nomix and FLARE deteriorate with increased error rates and fragmented chromosomal segments. In contrast, our method provides fair results.
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Affiliation(s)
| | - Gang Shi
- School of Telecommunications Engineering, Xidian University, 2 South Taibai Road, Xi’an 710071, China;
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3
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Garzón Rodríguez N, Briceño-Balcázar I, Nicolini H, Martínez-Magaña JJ, Genis-Mendoza AD, Flores-Lázaro JC, Villatoro Velázquez JA, Bustos Gamiño M, Medina-Mora ME, Quiroz-Padilla MF. Exploring the relationship between admixture and genetic susceptibility to attention deficit hyperactivity disorder in two Latin American cohorts. J Hum Genet 2024; 69:373-380. [PMID: 38714835 PMCID: PMC11269173 DOI: 10.1038/s10038-024-01246-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 07/13/2024]
Abstract
Contemporary research on the genomics of Attention Deficit Hyperactivity Disorder (ADHD) often underrepresents admixed populations of diverse genomic ancestries, such as Latin Americans. This study explores the relationship between admixture and genetic associations for ADHD in Colombian and Mexican cohorts. Some 546 participants in two groups, ADHD and Control, were genotyped with Infinium PsychArray®. Global ancestry levels were estimated using overall admixture proportions and principal component analysis, while local ancestry was determined using a method to estimate ancestral components along the genome. Genome-wide association analysis (GWAS) was conducted to identify significant associations. Differences between Colombia and Mexico were evaluated using appropriate statistical tests. 354 Single-nucleotide polymorphisms (SNPs) and Single-nucleotide variants (SNVs) related to some genes and intergenic regions exhibited suggestive significance (p-value < 5*10e-5) in the GWAS. None of the variants revealed genome-wide significance (p-value < 5*10e-8). The study identified a significant relationship between risk SNPs and the European component of admixture, notably observed in the LOC105379109 gene. Despite differences in risk association loci, such as FOXP2, our findings suggest a possible homogeneity in genetic variation's impact on ADHD between Colombian and Mexican populations. Current reference datasets for ADHD predominantly consist of samples with high European ancestry, underscoring the need for further research to enhance the representation of reference populations and improve the identification of ADHD risk traits in Latin Americans.
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Affiliation(s)
- Nicolás Garzón Rodríguez
- Laboratorio de Bases Biológicas del Comportamiento, Facultad de Psicología, Universidad de La Sabana, Chía, Colombia
- Doctorado en Biociencias, Facultad de Ingeniería, Universidad de La Sabana, Chía, Colombia
| | | | - Humberto Nicolini
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
| | - José Jaime Martínez-Magaña
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
| | - Alma D Genis-Mendoza
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
- Hospital Psiquiátrico Infantil Dr Juan N. Navarro, Mexico City, México
| | - Julio C Flores-Lázaro
- Facultad de Psicología, Universidad Nacional Autónoma de México - UNAM, Mexico City, México
| | | | - Marycarmen Bustos Gamiño
- Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz, Secretaría de Salud, Mexico City, México
| | - Maria Elena Medina-Mora
- Facultad de Psicología, Universidad Nacional Autónoma de México - UNAM, Mexico City, México
- Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz, Secretaría de Salud, Mexico City, México
| | - Maria Fernanda Quiroz-Padilla
- Laboratorio de Bases Biológicas del Comportamiento, Facultad de Psicología, Universidad de La Sabana, Chía, Colombia.
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4
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Laboulaye R, Borda V, Chen S, North KE, Kaplan R, O'Connor TD. ClOneHORT: Approaches for Improved Fidelity in Generative Models of Synthetic Genomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.25.600651. [PMID: 38979338 PMCID: PMC11230377 DOI: 10.1101/2024.06.25.600651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Motivation Deep generative models have the potential to overcome difficulties in sharing individual-level genomic data by producing synthetic genomes that preserve the genomic associations specific to a cohort while not violating the privacy of any individual cohort member. However, there is significant room for improvement in the fidelity and usability of existing synthetic genome approaches. Results We demonstrate that when combined with plentiful data and with population-specific selection criteria, deep generative models can produce synthetic genomes and cohorts that closely model the original populations. Our methods improve fidelity in the site-frequency spectra and linkage disequilibrium decay and yield synthetic genomes that can be substituted in downstream local ancestry inference analysis, recreating results with .91 to .94 accuracy. Availability The model described in this paper is freely available at github.com/rlaboulaye/clonehort .
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Barquera R, Del Castillo-Chávez O, Nägele K, Pérez-Ramallo P, Hernández-Zaragoza DI, Szolek A, Rohrlach AB, Librado P, Childebayeva A, Bianco RA, Penman BS, Acuña-Alonzo V, Lucas M, Lara-Riegos JC, Moo-Mezeta ME, Torres-Romero JC, Roberts P, Kohlbacher O, Warinner C, Krause J. Ancient genomes reveal insights into ritual life at Chichén Itzá. Nature 2024; 630:912-919. [PMID: 38867041 PMCID: PMC11208145 DOI: 10.1038/s41586-024-07509-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/02/2024] [Indexed: 06/14/2024]
Abstract
The ancient city of Chichén Itzá in Yucatán, Mexico, was one of the largest and most influential Maya settlements during the Late and Terminal Classic periods (AD 600-1000) and it remains one of the most intensively studied archaeological sites in Mesoamerica1-4. However, many questions about the social and cultural use of its ceremonial spaces, as well as its population's genetic ties to other Mesoamerican groups, remain unanswered2. Here we present genome-wide data obtained from 64 subadult individuals dating to around AD 500-900 that were found in a subterranean mass burial near the Sacred Cenote (sinkhole) in the ceremonial centre of Chichén Itzá. Genetic analyses showed that all analysed individuals were male and several individuals were closely related, including two pairs of monozygotic twins. Twins feature prominently in Mayan and broader Mesoamerican mythology, where they embody qualities of duality among deities and heroes5, but until now they had not been identified in ancient Mayan mortuary contexts. Genetic comparison to present-day people in the region shows genetic continuity with the ancient inhabitants of Chichén Itzá, except at certain genetic loci related to human immunity, including the human leukocyte antigen complex, suggesting signals of adaptation due to infectious diseases introduced to the region during the colonial period.
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Affiliation(s)
- Rodrigo Barquera
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany.
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico.
| | - Oana Del Castillo-Chávez
- Centro INAH Yucatán, Instituto Nacional de Antropología e Historia (INAH), Mérida, Yucatán, Mexico.
| | - Kathrin Nägele
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
| | - Patxi Pérez-Ramallo
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- University of the Basque Country (EHU), San Sebastián-Donostia, Spain
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology and Cultural History, University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Diana Iraíz Hernández-Zaragoza
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - András Szolek
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Tübingen, Germany
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Adam Benjamin Rohrlach
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Pablo Librado
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Ainash Childebayeva
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Department of Anthropology, University of Texas at Austin, Austin, TX, USA
| | - Raffaela Angelina Bianco
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
| | - Bridget S Penman
- The Zeeman Institute and the School of Life Sciences, University of Warwick, Coventry, UK
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Mary Lucas
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
| | | | | | | | - Patrick Roberts
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany
- Quantitative Biology Center, University of Tübingen, Tübingen, Germany
- Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Christina Warinner
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Department of Anthropology, Harvard University, Cambridge, MA, USA
| | - Johannes Krause
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany.
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6
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Grinde KE, Browning BL, Reiner AP, Thornton TA, Browning SR. Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.02.587682. [PMID: 38617337 PMCID: PMC11014513 DOI: 10.1101/2024.04.02.587682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/24/2024]
Abstract
Principal component analysis (PCA) is widely used to control for population structure in genome-wide association studies (GWAS). Top principal components (PCs) typically reflect population structure, but challenges arise in deciding how many PCs are needed and ensuring that PCs do not capture other artifacts such as regions with atypical linkage disequilibrium (LD). In response to the latter, many groups suggest performing LD pruning or excluding known high LD regions prior to PCA. However, these suggestions are not universally implemented and the implications for GWAS are not fully understood, especially in the context of admixed populations. In this paper, we investigate the impact of pre-processing and the number of PCs included in GWAS models in African American samples from the Women's Women's Health Initiative SNP Health Association Resource and two Trans-Omics for Precision Medicine Whole Genome Sequencing Project contributing studies (Jackson Heart Study and Genetic Epidemiology of Chronic Obstructive Pulmonary Disease Study). In all three samples, we find the first PC is highly correlated with genome-wide ancestry whereas later PCs often capture local genomic features. The pattern of which, and how many, genetic variants are highly correlated with individual PCs differs from what has been observed in prior studies focused on European populations and leads to distinct downstream consequences: adjusting for such PCs yields biased effect size estimates and elevated rates of spurious associations due to the phenomenon of collider bias. Excluding high LD regions identified in previous studies does not resolve these issues. LD pruning proves more effective, but the optimal choice of thresholds varies across datasets. Altogether, our work highlights unique issues that arise when using PCA to control for ancestral heterogeneity in admixed populations and demonstrates the importance of careful pre-processing and diagnostics to ensure that PCs capturing multiple local genomic features are not included in GWAS models.
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Affiliation(s)
- Kelsey E. Grinde
- Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, Minnesota, 55105, USA
| | - Brian L. Browning
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, 98195, USA
| | - Alexander P. Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, 98195, USA
| | - Timothy A. Thornton
- Regeneron Genetics Center, Tarrytown, New York, 10591, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, 98195, USA
| | - Sharon R. Browning
- Department of Biostatistics, University of Washington, Seattle, Washington, 98195, USA
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Mas-Sandoval A, Mathieson S, Fumagalli M. The genomic footprint of social stratification in admixing American populations. eLife 2023; 12:e84429. [PMID: 38038347 PMCID: PMC10776089 DOI: 10.7554/elife.84429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 11/22/2023] [Indexed: 12/02/2023] Open
Abstract
Cultural and socioeconomic differences stratify human societies and shape their genetic structure beyond the sole effect of geography. Despite mating being limited by sociocultural stratification, most demographic models in population genetics often assume random mating. Taking advantage of the correlation between sociocultural stratification and the proportion of genetic ancestry in admixed populations, we sought to infer the former process in the Americas. To this aim, we define a mating model where the individual proportions of the genome inherited from Native American, European, and sub-Saharan African ancestral populations constrain the mating probabilities through ancestry-related assortative mating and sex bias parameters. We simulate a wide range of admixture scenarios under this model. Then, we train a deep neural network and retrieve good performance in predicting mating parameters from genomic data. Our results show how population stratification, shaped by socially constructed racial and gender hierarchies, has constrained the admixture processes in the Americas since the European colonization and the subsequent Atlantic slave trade.
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Affiliation(s)
- Alex Mas-Sandoval
- Department of Life Sciences, Silwood Park Campus, Imperial College LondonLondonUnited Kingdom
- Department of Statistical Sciences, University of BolognaBolognaItaly
| | - Sara Mathieson
- Department of Computer Science, Haverford CollegeHaverfordUnited States
| | - Matteo Fumagalli
- Department of Life Sciences, Silwood Park Campus, Imperial College LondonLondonUnited Kingdom
- School of Biological and Behavioural Sciences, Queen Mary University of LondonLondonUnited Kingdom
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8
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Gallardo-Cóndor J, Naranjo P, Atarihuana S, Coello D, Guevara-Ramírez P, Flores-Espinoza R, Burgos G, López-Cortés A, Cabrera-Andrade A. Population-Specific Distribution of TPMT Deficiency Variants and Ancestry Proportions in Ecuadorian Ethnic Groups: Towards Personalized Medicine. Ther Clin Risk Manag 2023; 19:1005-1018. [PMID: 38050617 PMCID: PMC10693761 DOI: 10.2147/tcrm.s432856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/06/2023] [Indexed: 12/06/2023] Open
Abstract
Purpose Thiopurine S-methyltransferase (TPMT) is an enzyme that metabolizes purine analogs, agents used in the treatment of acute lymphoblastic leukemia. Improper drug metabolism leads to toxicity in chemotherapy patients and reduces treatment effectiveness. TPMT variants associated with reduced enzymatic activity vary across populations. Therefore, studying these variants in heterogeneous populations, such as Ecuadorians, can help identify molecular causes of deficiency for this enzyme. Methods We sequenced the entire TPMT coding region in 550 Ecuadorian individuals from Afro-Ecuadorian, Indigenous, Mestizo, and Montubio ethnicities. Moreover, we conducted an ancestry analysis using 46 informative ancestry markers. Results We identified 8 single nucleotide variants in the coding region of TPMT. The most prevalent alleles were TPMT*3A, TPMT*3B, and TPMT*3C, with frequencies of 0.055, 0.012, and 0.015, respectively. Additionally, we found rare alleles TPMT*4 and TPMT*8 with frequencies of 0.005 and 0.003. Correlating the ancestry proportions with TPMT-deficient genotypes, we observed that the Native American ancestry proportion influenced the distribution of the TPMT*1/TPMT*3A genotype (OR = 5.977, p = 0.002), while the contribution of African ancestral populations was associated with the TPMT*1/TPMT*3C genotype (OR = 9.769, p = 0.003). The rates of TPMT-deficient genotypes observed in Mestizo (f = 0.121) and Indigenous (f = 0.273) groups provide evidence for the influence of Native American ancestry and the prevalence of the TPMT*3A allele. In contrast, although Afro-Ecuadorian groups demonstrate similar deficiency rates (f = 0.160), the genetic factors involved are associated with contributions from African ancestral populations, specifically the prevalent TPMT*3C allele. Conclusion The distribution of TPMT-deficient variants offers valuable insights into the populations under study, underscoring the necessity for genetic screening strategies to prevent thiopurine toxicity events among Latin American minority groups.
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Affiliation(s)
| | - Pablo Naranjo
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito, Ecuador
| | - Sebastián Atarihuana
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito, Ecuador
| | - Dayana Coello
- Laboratorios de Investigación, Universidad de Las Américas, Quito, Ecuador
| | - Patricia Guevara-Ramírez
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Rodrigo Flores-Espinoza
- Laboratório de Diagnóstico por DNA (LDD), Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Germán Burgos
- One Health Research Group, Facultad de Medicina, Universidad de Las Américas, Quito, Ecuador
- Grupo de Medicina Xenomica, Instituto de Ciencias Forenses, Universidad de Santiago de Compostela, Satiago de Compostela, Spain
| | - Andrés López-Cortés
- Cancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), Madrid, Spain
| | - Alejandro Cabrera-Andrade
- Escuela de Enfermería, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito, Ecuador
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Quito, Ecuador
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9
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Zollner L, Torres D, Briceno I, Gilbert M, Torres-Mejía G, Dennis J, Bolla MK, Wang Q, Hamann U, Lorenzo Bermejo J. Native American ancestry and breast cancer risk in Colombian and Mexican women: ruling out potential confounding through ancestry-informative markers. Breast Cancer Res 2023; 25:111. [PMID: 37784177 PMCID: PMC10544431 DOI: 10.1186/s13058-023-01713-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/18/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Latin American and Hispanic women are less likely to develop breast cancer (BC) than women of European descent. Observational studies have found an inverse relationship between the individual proportion of Native American ancestry and BC risk. Here, we use ancestry-informative markers to rule out potential confounding of this relationship, estimating the confounder-free effect of Native American ancestry on BC risk. METHODS AND STUDY POPULATION We used the informativeness for assignment measure to select robust instrumental variables for the individual proportion of Native American ancestry. We then conducted separate Mendelian randomization (MR) analyses based on 1401 Colombian women, most of them from the central Andean regions of Cundinamarca and Huila, and 1366 Mexican women from Mexico City, Monterrey and Veracruz, supplemented by sensitivity and stratified analyses. RESULTS The proportion of Colombian Native American ancestry showed a putatively causal protective effect on BC risk (inverse variance-weighted odds ratio [OR] = 0.974 per 1% increase in ancestry proportion, 95% confidence interval [CI] 0.970-0.978, p = 3.1 × 10-40). The corresponding OR for Mexican Native American ancestry was 0.988 (95% CI 0.987-0.990, p = 1.4 × 10-44). Stratified analyses revealed a stronger association between Native American ancestry and familial BC (Colombian women: OR = 0.958, 95% CI 0.952-0.964; Mexican women: OR = 0.973, 95% CI 0.969-0.978), and stronger protective effects on oestrogen receptor (ER)-positive BC than on ER-negative and triple-negative BC. CONCLUSIONS The present results point to an unconfounded protective effect of Native American ancestry on BC risk in both Colombian and Mexican women which appears to be stronger for familial and ER-positive BC. These findings provide a rationale for personalised prevention programmes that take genetic ancestry into account, as well as for future admixture mapping studies.
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Affiliation(s)
- Linda Zollner
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
- Division of Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Ignacio Briceno
- Instituto de Genética Humana, Universidad de la Sabana, Bogotá, Colombia
| | - Michael Gilbert
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
| | - Gabriela Torres-Mejía
- Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
| | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
- Department of Biostatistics for Precision Oncology, Institut de Cancérologie Strasbourg Europe, Strasbourg, France
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10
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Cuellar-Barboza AB, Prieto ML, Coombes BJ, Gardea-Resendez M, Núñez N, Winham SJ, Romo-Nava F, González S, McElroy SL, Frye MA, Biernacka JM. Polygenic prediction of bipolar disorder in a Latin American sample. Am J Med Genet B Neuropsychiatr Genet 2023; 192:139-146. [PMID: 36919637 DOI: 10.1002/ajmg.b.32936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/31/2023] [Accepted: 03/01/2023] [Indexed: 03/16/2023]
Abstract
To date, bipolar disorder (BD) genetic studies and polygenic risk scores (PRSs) for BD are based primarily on populations of European descent (EUR) and lack representation from other ancestries including Latin American (LAT). Here, we describe a new LAT cohort from the Mayo Clinic Bipolar Biobank (MCBB), a multisite collaboration with recruitment sites in the United States (EUR; 1,443 cases and 777 controls) and Mexico and Chile (LAT; 211 cases and 161 controls) and use the sample to explore the performance of a BD-PRS in a LAT population. Using results from the largest genome-wide association study of BD in EUR individuals, PRSice2 and LDpred2 were used to compute BD-PRSs in the LAT and EUR samples from the MCBB. PRSs explained up to 1.4% (PRSice) and 4% (LDpred2) of the phenotypic variance on the liability scale in the LAT sample compared to 3.8% (PRSice2) and 3.4% (LDpred2) in the EUR samples. Future larger studies should further explore the differential performance of different PRS approaches across ancestries. International multisite studies, such as this one, have the potential to address diversity-related limitations of prior genomic studies and ultimately contribute to the reduction of health disparities.
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Affiliation(s)
- Alfredo B Cuellar-Barboza
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Miguel L Prieto
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Psychiatry, Universidad de los Andes, Santiago, Chile
- Mental Health Service, Clinica Universidad de los Andes, Santiago, Chile
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Nicolás Núñez
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Stacey J Winham
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Sarai González
- Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Susan L McElroy
- Lindner Center of HOPE/University of Cincinnati, Cincinnati, Ohio, USA
| | - Mark A Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joanna M Biernacka
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
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11
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Montes-Rodríguez IM, Soto-Salgado M, Torres-Cintrón CR, Tomassini-Fernandini JC, Suárez E, Clavell LA, Cadilla CL. Incidence and Mortality Rates for Childhood Acute Lymphoblastic Leukemia in Puerto Rican Hispanics, 2012-2016. Cancer Epidemiol Biomarkers Prev 2023; 32:1030-1037. [PMID: 37222662 PMCID: PMC10524932 DOI: 10.1158/1055-9965.epi-22-1227] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/24/2023] [Accepted: 05/01/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Acute lymphoblastic leukemia (ALL) accounts for 80% of all leukemias diagnosed in children. Although ALL age patterns are consistent across racial/ethnic groups, their incidence and mortality rates are highly variable. We assessed the age-standardized ALL incidence and mortality rates of Puerto Rican Hispanic (PRH) children and compared them with those of US mainland Hispanics (USH), non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), and Non-Hispanic Asian or Pacific Islanders (NHAPI). METHODS Differences between racial/ethnic groups were assessed by estimating the standardized rate ratio (SRR) for 2010 to 2014. Secondary data analyses of the Puerto Rico Central Cancer Registry and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) databases were performed for the 2001 to 2016 period. RESULTS PRH children had 31% lower incidence rates than USH, but 86% higher incidence rates than NHB. In addition, the incidence trends of ALL increased significantly from 2001 to 2016 among PRH and USH, with 5% and 0.9% per year, respectively. Moreover, PRH have a lower 5-year overall survival (81.7%) when compared with other racial/ethnic groups. CONCLUSIONS PRH children were found to have disparities in ALL incidence and mortality rates compared with other racial/ethnic groups in the US. Additional research is warranted to identify the genetic and environmental risk factors that may be associated with the disparities observed. IMPACT This is the first study reporting the incidence and mortality rates of childhood ALL for PRH and making comparisons with other racial/ethnic groups in the US. See related commentary by Mejía-Aranguré and Núñez-Enríquez, p. 999.
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Affiliation(s)
| | - Marievelisse Soto-Salgado
- Division of Cancer Control and Population Sciences, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR
| | - Carlos R. Torres-Cintrón
- Puerto Rico Central Cancer Registry, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR
| | | | - Erick Suárez
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR
| | - Luis A. Clavell
- Division of Pediatric Oncology, San Jorge Children’s Hospital, San Juan, PR
| | - Carmen L. Cadilla
- Department of Biochemistry, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, PR
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12
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Vassy JL, Posner DC, Ho YL, Gagnon DR, Galloway A, Tanukonda V, Houghton SC, Madduri RK, McMahon BH, Tsao PS, Damrauer SM, O’Donnell CJ, Assimes TL, Casas JP, Gaziano JM, Pencina MJ, Sun YV, Cho K, Wilson PW. Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program. JAMA Cardiol 2023; 8:564-574. [PMID: 37133828 PMCID: PMC10157509 DOI: 10.1001/jamacardio.2023.0857] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/09/2023] [Indexed: 05/04/2023]
Abstract
Importance Primary prevention of atherosclerotic cardiovascular disease (ASCVD) relies on risk stratification. Genome-wide polygenic risk scores (PRSs) are proposed to improve ASCVD risk estimation. Objective To determine whether genome-wide PRSs for coronary artery disease (CAD) and acute ischemic stroke improve ASCVD risk estimation with traditional clinical risk factors in an ancestrally diverse midlife population. Design, Setting, and Participants This was a prognostic analysis of incident events in a retrospectively defined longitudinal cohort conducted from January 1, 2011, to December 31, 2018. Included in the study were adults free of ASCVD and statin naive at baseline from the Million Veteran Program (MVP), a mega biobank with genetic, survey, and electronic health record data from a large US health care system. Data were analyzed from March 15, 2021, to January 5, 2023. Exposures PRSs for CAD and ischemic stroke derived from cohorts of largely European descent and risk factors, including age, sex, systolic blood pressure, total cholesterol, high-density lipoprotein (HDL) cholesterol, smoking, and diabetes status. Main Outcomes and Measures Incident nonfatal myocardial infarction (MI), ischemic stroke, ASCVD death, and composite ASCVD events. Results A total of 79 151 participants (mean [SD] age, 57.8 [13.7] years; 68 503 male [86.5%]) were included in the study. The cohort included participants from the following harmonized genetic ancestry and race and ethnicity categories: 18 505 non-Hispanic Black (23.4%), 6785 Hispanic (8.6%), and 53 861 non-Hispanic White (68.0%) with a median (5th-95th percentile) follow-up of 4.3 (0.7-6.9) years. From 2011 to 2018, 3186 MIs (4.0%), 1933 ischemic strokes (2.4%), 867 ASCVD deaths (1.1%), and 5485 composite ASCVD events (6.9%) were observed. CAD PRS was associated with incident MI in non-Hispanic Black (hazard ratio [HR], 1.10; 95% CI, 1.02-1.19), Hispanic (HR, 1.26; 95% CI, 1.09-1.46), and non-Hispanic White (HR, 1.23; 95% CI, 1.18-1.29) participants. Stroke PRS was associated with incident stroke in non-Hispanic White participants (HR, 1.15; 95% CI, 1.08-1.21). A combined CAD plus stroke PRS was associated with ASCVD deaths among non-Hispanic Black (HR, 1.19; 95% CI, 1.03-1.17) and non-Hispanic (HR, 1.11; 95% CI, 1.03-1.21) participants. The combined PRS was also associated with composite ASCVD across all ancestry groups but greater among non-Hispanic White (HR, 1.20; 95% CI, 1.16-1.24) than non-Hispanic Black (HR, 1.11; 95% CI, 1.05-1.17) and Hispanic (HR, 1.12; 95% CI, 1.00-1.25) participants. Net reclassification improvement from adding PRS to a traditional risk model was modest for the intermediate risk group for composite CVD among men (5-year risk >3.75%, 0.38%; 95% CI, 0.07%-0.68%), among women, (6.79%; 95% CI, 3.01%-10.58%), for age older than 55 years (0.25%; 95% CI, 0.03%-0.47%), and for ages 40 to 55 years (1.61%; 95% CI, -0.07% to 3.30%). Conclusions and Relevance Study results suggest that PRSs derived predominantly in European samples were statistically significantly associated with ASCVD in the multiancestry midlife and older-age MVP cohort. Overall, modest improvement in discrimination metrics were observed with addition of PRSs to traditional risk factors with greater magnitude in women and younger age groups.
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Affiliation(s)
- Jason L. Vassy
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Daniel C. Posner
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - Yuk-Lam Ho
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - David R. Gagnon
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ashley Galloway
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | | | | | - Ravi K. Madduri
- Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois
- University of Chicago Consortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois
| | - Benjamin H. McMahon
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Philip S. Tsao
- Palo Alto VA Healthcare System, Palo Alto, California
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Scott M. Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | | | - Themistocles L. Assimes
- Palo Alto VA Healthcare System, Palo Alto, California
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Juan P. Casas
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - J. Michael Gaziano
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Division of Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael J. Pencina
- Department of Biostatistics, Duke University Medical Center, Durham, North Carolina
| | - Yan V. Sun
- Veterans Affairs Atlanta Healthcare System, Decatur, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Kelly Cho
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter W.F. Wilson
- Veterans Affairs Atlanta Healthcare System, Decatur, Georgia
- Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
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13
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Riman S, Ghemrawi M, Borsuk LA, Mahfouz R, Walsh S, Vallone PM. Sequence-based allelic variations and frequencies for 22 autosomal STR loci in the Lebanese population. Forensic Sci Int Genet 2023; 65:102872. [PMID: 37068444 DOI: 10.1016/j.fsigen.2023.102872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/06/2023] [Accepted: 04/08/2023] [Indexed: 04/19/2023]
Abstract
This is the first study that characterizes the sequence-based allelic variations of 22 autosomal Short Tandem Repeat (aSTR) loci in a population dataset collected from Lebanon. Genomic DNA extracts from 195 unrelated Lebanese individuals were amplified with PowerSeq 46GY System Prototype. Targeted amplicons were subjected to DNA library preparation and sequenced on the Verogen MiSeq FGx Sequencing System. Raw FASTQ data files were processed by STRait Razor v3. Sequence strings were annotated according to the considerations of the DNA Commission of the International Society for Forensic Genetics (ISFG) and tabulated herein with their respective allelic frequencies and GeneBank accession and version numbers. The sequenced Lebanese dataset resulted in 429 distinct allelic sequences as compared to the 236 alleles identified by length only. The increase in the number of alleles was observed at 18 out of 22 aSTR loci and was attributed to the sequence variations residing in both the STR repeat motifs and flanking regions. The study uncovered 25 novel aSTR allelic sequences across 12 loci for which GenBank records did not previously exist in the STRSeq BioProject, PRJNA380127. For a concordance check, the length-based allelic calls derived from the full sequences were compared to those genotyped using capillary electrophoresis (CE) methods. Population genetic parameters relevant to the evaluation of forensic DNA evidence were assessed for the sequence-based data and compared to the parameters generated from the length-based information. Using the sequence-based data, Analysis of MOlecular VAriance (AMOVA), genetic distances, and population genetic structure were evaluated for 1231 individuals sampled from the Lebanese and four U.S. populations (African American, Asian, Caucasian, and Hispanic). The results were tabulated and visualized in a population tree, multidimensional scaling scatter plots, and bar plots. This newly established sequence-based database for the Lebanese population can be beneficial for extending NGS applicability to casework or paternity testing and assessing the strength of evidence for NGS-STR profiles. The described novel sequence variants at certain loci can further help in the effort to characterize the sequence diversity of STR markers from different populations around the world.
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Affiliation(s)
- Sarah Riman
- Applied Genetics Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
| | - Mirna Ghemrawi
- Department of Chemistry and Biochemistry and International Forensic Research Institute, Florida International University, Miami, FL 33199, USA
| | - Lisa A Borsuk
- Applied Genetics Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Rami Mahfouz
- Department of Pathology and Laboratory Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Susan Walsh
- Department of Biology, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Peter M Vallone
- Applied Genetics Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
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14
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Tal MG, Keidar R, Magnazi G, Henn O, Kim JH, Chudnoff SG, Stepp KJ. Pressure-Induced Fibroid Ischemia: First-In-Human Experience with a Novel Device for Laparoscopic Treatment of Symptomatic Uterine Fibroids. Reprod Sci 2023; 30:1366-1375. [PMID: 35941511 PMCID: PMC9360636 DOI: 10.1007/s43032-022-01033-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/04/2022] [Indexed: 11/29/2022]
Abstract
The purpose of this study was to assess the feasibility of use of a novel uterine fibroid treatment device hypothesized to cause fibroid infarction by increasing intra-tumoral pressure. Between August 2019 and January 2020, 21 uterine fibroids were treated in 16 symptomatic pre-menopausal black women. Pelvic magnetic resonance imaging was performed before the procedure, a day after the procedure and at 1, 3, 6, and 12 months. The subjects were also followed for clinical outcomes and quality of life up to 12 months at a single investigational site. At 3 months, the mean reduction in the fibroid volume was 36.3% (P = .002). Incremental reduction in volume peaked at the end of the follow-up, at the 12-month mark (60.4%; P = .008). There were no procedures in which the users failed to perform laparoscopic pressure suturing of fibroids with the pressure-induced fibroid ischemia device. Improvement in the quality of life was evident in the Health-Related Quality of Life total, Energy/Mood, Control, and Sexual Function domains of the Uterine Fibroid Symptom and Quality of Life questionnaire at 3 months post-procedure. Unanticipated risks were not identified. Serious adverse events were not identified. The initial clinical assessment of the pressure-induced fibroid ischemia device supports feasibility of the approach and does not reveal serious safety concerns. Trial is currently being registered retrospectively (This was a feasibility study and therefore registration was not mandatory).
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Affiliation(s)
- Michael G Tal
- Division of Interventional Radiology, Hadassah Medical Center, Jerusalem, Israel.
| | - Ran Keidar
- Department of Obstetrics and Gynecology, E. Wolfson Medical Center, Holon, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Ohad Henn
- Empress Medical Ltd., Tel Aviv, Israel
| | - Jin Hee Kim
- Department of Obstetrics & Gynecology, Columbia University, New York, NY, USA
| | - Scott G Chudnoff
- Obstetrics and Gynecology, Maimonides Medical Center, New York, NY, USA
| | - Kevin J Stepp
- Atrium Health Women's Care Urogynecology and Pelvic Surgery, Atrium Health, Charlotte, NC, USA
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15
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Garcia OA, Arslanian K, Whorf D, Thariath S, Shriver M, Li JZ, Bigham AW. The Legacy of Infectious Disease Exposure on the Genomic Diversity of Indigenous Southern Mexicans. Genome Biol Evol 2023; 15:7023365. [PMID: 36726304 PMCID: PMC10016042 DOI: 10.1093/gbe/evad015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 12/19/2022] [Accepted: 01/25/2023] [Indexed: 02/03/2023] Open
Abstract
To characterize host risk factors for infectious disease in Mesoamerican populations, we interrogated 857,481 SNPs assayed using the Affymetrix 6.0 genotyping array for signatures of natural selection in immune response genes. We applied three statistical tests to identify signatures of natural selection: locus-specific branch length (LSBL), the cross-population extended haplotype homozygosity (XP-EHH), and the integrated haplotype score (iHS). Each of the haplotype tests (XP-EHH and iHS) were paired with LSBL and significance was determined at the 1% level. For the paired analyses, we identified 95 statistically significant windows for XP-EHH/LSBL and 63 statistically significant windows for iHS/LSBL. Among our top immune response loci, we found evidence of recent directional selection associated with the major histocompatibility complex (MHC) and the peroxisome proliferator-activated receptor gamma (PPAR-γ) signaling pathway. These findings illustrate that Mesoamerican populations' immunity has been shaped by exposure to infectious disease. As targets of selection, these variants are likely to encode phenotypes that manifest themselves physiologically and therefore may contribute to population-level variation in immune response. Our results shed light on past selective events influencing the host response to modern diseases, both pathogenic infection as well as autoimmune disorders.
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Affiliation(s)
- Obed A Garcia
- Department of Anthropology, University of Michigan, Ann Arbor, Michigan.,Department of Biomedical Data Science, Stanford University, Stanford, California
| | | | - Daniel Whorf
- College of Medicine, University of Illinois, Peoria, Illinois
| | - Serena Thariath
- Department of Anthropology, University of Tennessee, Knoxville, Tennessee
| | - Mark Shriver
- Department of Anthropology, Penn State University, State College, Pennsylvania
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan
| | - Abigail W Bigham
- Department of Anthropology, University of California, Los Angeles, California
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16
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Zawistowski M, Fritsche LG, Pandit A, Vanderwerff B, Patil S, Schmidt EM, VandeHaar P, Willer CJ, Brummett CM, Kheterpal S, Zhou X, Boehnke M, Abecasis GR, Zöllner S. The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients. CELL GENOMICS 2023; 3:100257. [PMID: 36819667 PMCID: PMC9932985 DOI: 10.1016/j.xgen.2023.100257] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/07/2022] [Accepted: 01/05/2023] [Indexed: 02/04/2023]
Abstract
Biobanks of linked clinical patient histories and biological samples are an efficient strategy to generate large cohorts for modern genetics research. Biobank recruitment varies by factors such as geographic catchment and sampling strategy, which affect biobank demographics and research utility. Here, we describe the Michigan Genomics Initiative (MGI), a single-health-system biobank currently consisting of >91,000 participants recruited primarily during surgical encounters at Michigan Medicine. The surgical enrollment results in a biobank enriched for many diseases and ideally suited for a disease genetics cohort. Compared with the much larger population-based UK Biobank, MGI has higher prevalence for nearly all diagnosis-code-based phenotypes and larger absolute case counts for many phenotypes. Genome-wide association study (GWAS) results replicate known findings, thereby validating the genetic and clinical data. Our results illustrate that opportunistic biobank sampling within single health systems provides a unique and complementary resource for exploring the genetics of complex diseases.
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Affiliation(s)
- Matthew Zawistowski
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Lars G. Fritsche
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Anita Pandit
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Brett Vanderwerff
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Snehal Patil
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Ellen M. Schmidt
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Peter VandeHaar
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Cristen J. Willer
- Department of Internal Medicine, Division of Cardiovascular Medicine, Department of Human Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Chad M. Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI 48103, USA
| | - Xiang Zhou
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
| | - Gonçalo R. Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
- Regeneron Genetics Center, Tarrytown, NY 10591, USA
| | - Sebastian Zöllner
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48103, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI 48103, USA
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17
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Nierenberg JL, Adamson AW, Hu D, Huntsman S, Patrick C, Li M, Steele L, Tong B, Shieh Y, Fejerman L, Gruber SB, Haiman CA, John EM, Kushi LH, Torres-Mejía G, Ricker C, Weitzel JN, Ziv E, Neuhausen SL. Whole exome sequencing and replication for breast cancer among Hispanic/Latino women identifies FANCM as a susceptibility gene for estrogen-receptor-negative breast cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.25.23284924. [PMID: 36747679 PMCID: PMC9901069 DOI: 10.1101/2023.01.25.23284924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Introduction Breast cancer (BC) is one of the most common cancers globally. Genetic testing can facilitate screening and risk-reducing recommendations, and inform use of targeted treatments. However, genes included in testing panels are from studies of European-ancestry participants. We sequenced Hispanic/Latina (H/L) women to identify BC susceptibility genes. Methods We conducted a pooled BC case-control analysis in H/L women from the San Francisco Bay area, Los Angeles County, and Mexico (4,178 cases and 4,344 controls). Whole exome sequencing was conducted on 1,043 cases and 1,188 controls and a targeted 857-gene panel on the remaining samples. Using ancestry-adjusted SKAT-O analyses, we tested the association of loss of function (LoF) variants with overall, estrogen receptor (ER)-positive, and ER-negative BC risk. We calculated odds ratios (OR) for BC using ancestry-adjusted logistic regression models. We also tested the association of single variants with BC risk. Results We saw a strong association of LoF variants in FANCM with ER-negative BC (p=4.1×10-7, OR [CI]: 6.7 [2.9-15.6]) and a nominal association with overall BC risk. Among known susceptibility genes, BRCA1 (p=2.3×10-10, OR [CI]: 24.9 [6.1-102.5]), BRCA2 (p=8.4×10-10, OR [CI]: 7.0 [3.5-14.0]), and PALB2 (p=1.8×10-8, OR [CI]: 6.5 [3.2-13.1]) were strongly associated with BC. There were nominally significant associations with CHEK2, RAD51D, and TP53. Conclusion In H/L women, LoF variants in FANCM were strongly associated with ER-negative breast cancer risk. It previously was proposed as a possible susceptibility gene for ER-negative BC, but is not routinely tested in clinical practice. Our results demonstrate that FANCM should be added to BC gene panels.
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Affiliation(s)
- Jovia L Nierenberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron W Adamson
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Scott Huntsman
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Carmina Patrick
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Min Li
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Linda Steele
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Barry Tong
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yiwey Shieh
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Laura Fejerman
- Department of Public Health Service, University of California, Davis, Davis, CA, USA
- UC Davis Comprehensive Cancer Center, University of California, Davis, Davis, CA, USA
| | - Stephen B Gruber
- Department of Medical Oncology and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | | | - Charité Ricker
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Elad Ziv
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
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18
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Shaaban S, Ji Y. Pharmacogenomics and health disparities, are we helping? Front Genet 2023; 14:1099541. [PMID: 36755573 PMCID: PMC9900000 DOI: 10.3389/fgene.2023.1099541] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023] Open
Abstract
Pharmacogenomics has been at the forefront of precision medicine during the last few decades. Precision medicine carries the potential of improving health outcomes at both the individual as well as population levels. To harness the benefits of its initiatives, careful dissection of existing health disparities as they relate to precision medicine is of paramount importance. Attempting to address the existing disparities at the early stages of design and implementation of these efforts is the only guarantee of a successful just outcome. In this review, we glance at a few determinants of existing health disparities as they intersect with pharmacogenomics research and implementation. In our opinion, highlighting these disparities is imperative for the purpose of researching meaningful solutions. Failing to identify, and hence address, these disparities in the context of the current and future precision medicine initiatives would leave an already strained health system, even more inundated with inequality.
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Affiliation(s)
- Sherin Shaaban
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, United States,ARUP Laboratories, Salt Lake City, Utah, United States,*Correspondence: Sherin Shaaban,
| | - Yuan Ji
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, United States,ARUP Laboratories, Salt Lake City, Utah, United States
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19
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De Oliveira TC, Secolin R, Lopes-Cendes I. A review of ancestrality and admixture in Latin America and the caribbean focusing on native American and African descendant populations. Front Genet 2023; 14:1091269. [PMID: 36741309 PMCID: PMC9893294 DOI: 10.3389/fgene.2023.1091269] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/09/2023] [Indexed: 01/21/2023] Open
Abstract
Genomics can reveal essential features about the demographic evolution of a population that may not be apparent from historical elements. In recent years, there has been a significant increase in the number of studies applying genomic epidemiological approaches to understand the genetic structure and diversity of human populations in the context of demographic history and for implementing precision medicine. These efforts have traditionally been applied predominantly to populations of European origin. More recently, initiatives in the United States and Africa are including more diverse populations, establishing new horizons for research in human populations with African and/or Native ancestries. Still, even in the most recent projects, the under-representation of genomic data from Latin America and the Caribbean (LAC) is remarkable. In addition, because the region presents the most recent global miscegenation, genomics data from LAC may add relevant information to understand population admixture better. Admixture in LAC started during the colonial period, in the 15th century, with intense miscegenation between European settlers, mainly from Portugal and Spain, with local indigenous and sub-Saharan Africans brought through the slave trade. Since, there are descendants of formerly enslaved and Native American populations in the LAC territory; they are considered vulnerable populations because of their history and current living conditions. In this context, studying LAC Native American and African descendant populations is important for several reasons. First, studying human populations from different origins makes it possible to understand the diversity of the human genome better. Second, it also has an immediate application to these populations, such as empowering communities with the knowledge of their ancestral origins. Furthermore, because knowledge of the population genomic structure is an essential requirement for implementing genomic medicine and precision health practices, population genomics studies may ensure that these communities have access to genomic information for risk assessment, prevention, and the delivery of optimized treatment; thus, helping to reduce inequalities in the Western Hemisphere. Hoping to set the stage for future studies, we review different aspects related to genetic and genomic research in vulnerable populations from LAC countries.
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Affiliation(s)
- Thais C. De Oliveira
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Rodrigo Secolin
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
| | - Iscia Lopes-Cendes
- Department of Translational Medicine, School of Medical Sciences, University of Campinas (UNICAMP), Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN), Campinas, Brazil
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20
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Waksmunski AR, Kinzy TG, Cruz LA, Nealon CL, Halladay CW, Anthony SA, Greenberg PB, Sullivan JM, Wu WC, Iyengar SK, Crawford DC, Peachey NS, Cooke Bailey JN. Diversity is key for cross-ancestry transferability of glaucoma genetic risk scores in Hispanic Veterans in the Million Veteran Program. PACIFIC SYMPOSIUM ON BIOCOMPUTING. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023; 28:413-424. [PMID: 36540996 PMCID: PMC9997528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A major goal of precision medicine is to stratify patients based on their genetic risk for a disease to inform future screening and intervention strategies. For conditions like primary open-angle glaucoma (POAG), the genetic risk architecture is complicated with multiple variants contributing small effects on risk. Following the tepid success of genome-wide association studies for high-effect disease risk variant discovery, genetic risk scores (GRS), which collate effects from multiple genetic variants into a single measure, have shown promise for disease risk stratification. We assessed the application of GRS for POAG risk stratification in Hispanic-descent (HIS) and European-descent (EUR) Veterans in the Million Veteran Program. Unweighted and cross-ancestry meta-weighted GRS were calculated based on 127 genomic variants identified in the most recent report of cross-ancestry POAG meta-analyses. We found that both GRS types were associated with POAG case-control status and performed similarly in HIS and EUR Veterans. This trend was also seen in our subset analysis of HIS Veterans with less than 50% EUR global genetic ancestry. Our findings highlight the importance of evaluating GRS based on known POAG risk variants in different ancestry groups and emphasize the need for more multi-ancestry POAG genetic studies.
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Affiliation(s)
- Andrea R Waksmunski
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH 44106, USA,
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21
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Ge D, Wen Z, Feijó A, Lissovsky A, Zhang W, Cheng J, Yan C, She H, Zhang D, Cheng Y, Lu L, Wu X, Mu D, Zhang Y, Xia L, Qu Y, Vogler AP, Yang Q. Genomic Consequences of and Demographic Response to Pervasive Hybridization Over Time in Climate-Sensitive Pikas. Mol Biol Evol 2022; 40:6958644. [PMID: 36562771 PMCID: PMC9847633 DOI: 10.1093/molbev/msac274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/13/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Rare and geographically restricted species may be vulnerable to genetic effects from inbreeding depression in small populations or from genetic swamping through hybridization with common species, but a third possibility is that selective gene flow can restore fitness (genetic rescue). Climate-sensitive pikas (Ochotona spp.) of the Qinghai-Tibetan Plateau (QHTP) and its vicinity have been reduced to residual populations through the movement of climatic zones during the Pleistocene and recent anthropogenic disturbance, whereas the plateau pika (O. curzoniae) remains common. Population-level whole-genome sequencing (n = 142) of six closely related species in the subgenus Ochotona revealed several phases of ancient introgression, lineage replacement, and bidirectional introgression. The strength of gene flow was the greatest from the dominant O. curzoniae to ecologically distinct species in areas peripheral to the QHTP. Genetic analyses were consistent with environmental reconstructions of past population movements. Recurrent periods of introgression throughout the Pleistocene revealed an increase in genetic variation at first but subsequent loss of genetic variation in later phases. Enhanced dispersion of introgressed genomic regions apparently contributed to demographic recovery in three peripheral species that underwent range shifts following climate oscillations on the QHTP, although it failed to drive recovery of northeastern O. dauurica and geographically isolated O. sikimaria. Our findings highlight differences in timescale and environmental background to determine the consequence of hybridization and the unique role of the QHTP in conserving key evolutionary processes of sky island species.
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Affiliation(s)
| | | | | | | | | | - Jilong Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chaochao Yan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China
| | - Huishang She
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Dezhi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Liang Lu
- State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xinlai Wu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, 071002, China
| | - Danping Mu
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China
| | - Yubo Zhang
- State Key Laboratory for Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences at College of Life Sciences, Peking University, Beijing, 100871, China
| | - Lin Xia
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
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22
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Caliebe A, Tekola‐Ayele F, Darst BF, Wang X, Song YE, Gui J, Sebro RA, Balding DJ, Saad M, Dubé M. Including diverse and admixed populations in genetic epidemiology research. Genet Epidemiol 2022; 46:347-371. [PMID: 35842778 PMCID: PMC9452464 DOI: 10.1002/gepi.22492] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/31/2022] [Accepted: 06/06/2022] [Indexed: 11/25/2022]
Abstract
The inclusion of ancestrally diverse participants in genetic studies can lead to new discoveries and is important to ensure equitable health care benefit from research advances. Here, members of the Ethical, Legal, Social, Implications (ELSI) committee of the International Genetic Epidemiology Society (IGES) offer perspectives on methods and analysis tools for the conduct of inclusive genetic epidemiology research, with a focus on admixed and ancestrally diverse populations in support of reproducible research practices. We emphasize the importance of distinguishing socially defined population categorizations from genetic ancestry in the design, analysis, reporting, and interpretation of genetic epidemiology research findings. Finally, we discuss the current state of genomic resources used in genetic association studies, functional interpretation, and clinical and public health translation of genomic findings with respect to diverse populations.
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Affiliation(s)
- Amke Caliebe
- Institute of Medical Informatics and StatisticsKiel University and University Hospital Schleswig‐HolsteinKielGermany
| | - Fasil Tekola‐Ayele
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthBethesdaMarylandUSA
| | - Burcu F. Darst
- Center for Genetic EpidemiologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Xuexia Wang
- Department of MathematicsUniversity of North TexasDentonTexasUSA
| | - Yeunjoo E. Song
- Department of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOhioUSA
| | - Jiang Gui
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth CollegeOne Medical Center Dr.LebanonNew HampshireUSA
| | | | - David J. Balding
- Melbourne Integrative Genomics, Schools of BioSciences and of Mathematics & StatisticsUniversity of MelbourneMelbourneAustralia
| | - Mohamad Saad
- Qatar Computing Research InstituteHamad Bin Khalifa UniversityDohaQatar
- Neuroscience Research Center, Faculty of Medical SciencesLebanese UniversityBeirutLebanon
| | - Marie‐Pierre Dubé
- Department of Medicine, and Social and Preventive MedicineUniversité de MontréalMontréalQuébecCanada
- Beaulieu‐Saucier Pharmacogenomcis CentreMontreal Heart InstituteMontrealCanada
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23
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Zhang R, Ni X, Yuan K, Pan Y, Xu S. MultiWaverX: modeling latent sex-biased admixture history. Brief Bioinform 2022; 23:6590437. [PMID: 35598333 DOI: 10.1093/bib/bbac179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Sex-biased gene flow has been common in the demographic history of modern humans. However, the lack of sophisticated methods for delineating the detailed sex-biased admixture process prevents insights into complex admixture history and thus our understanding of the evolutionary mechanisms of genetic diversity. Here, we present a novel algorithm, MultiWaverX, for modeling complex admixture history with sex-biased gene flow. Systematic simulations showed that MultiWaverX is a powerful tool for modeling complex admixture history and inferring sex-biased gene flow. Application of MultiWaverX to empirical data of 17 typical admixed populations in America, Central Asia, and the Middle East revealed sex-biased admixture histories that were largely consistent with the historical records. Notably, fine-scale admixture process reconstruction enabled us to recognize latent sex-biased gene flow in certain populations that would likely be overlooked by much of the routine analysis with commonly used methods. An outstanding example in the real world is the Kazakh population that experienced complex admixture with sex-biased gene flow but in which the overall signature has been canceled due to biased gene flow from an opposite direction.
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Affiliation(s)
- Rui Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xumin Ni
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, 100044, China
| | - Kai Yuan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuwen Pan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shuhua Xu
- Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China.,State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.,Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China.,Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, 221116, China.,Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450052, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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24
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Genetic pleiotropy underpinning adiposity and inflammation in self-identified Hispanic/Latino populations. BMC Med Genomics 2022; 15:192. [PMID: 36088317 PMCID: PMC9464371 DOI: 10.1186/s12920-022-01352-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/02/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Concurrent variation in adiposity and inflammation suggests potential shared functional pathways and pleiotropic disease underpinning. Yet, exploration of pleiotropy in the context of adiposity-inflammation has been scarce, and none has included self-identified Hispanic/Latino populations. Given the high level of ancestral diversity in Hispanic American population, genetic studies may reveal variants that are infrequent/monomorphic in more homogeneous populations. METHODS Using multi-trait Adaptive Sum of Powered Score (aSPU) method, we examined individual and shared genetic effects underlying inflammatory (CRP) and adiposity-related traits (Body Mass Index [BMI]), and central adiposity (Waist to Hip Ratio [WHR]) in HLA participating in the Population Architecture Using Genomics and Epidemiology (PAGE) cohort (N = 35,871) with replication of effects in the Cameron County Hispanic Cohort (CCHC) which consists of Mexican American individuals. RESULTS Of the > 16 million SNPs tested, variants representing 7 independent loci were found to illustrate significant association with multiple traits. Two out of 7 variants were replicated at statistically significant level in multi-trait analyses in CCHC. The lead variant on APOE (rs439401) and rs11208712 were found to harbor multi-trait associations with adiposity and inflammation. CONCLUSIONS Results from this study demonstrate the importance of considering pleiotropy for improving our understanding of the etiology of the various metabolic pathways that regulate cardiovascular disease development.
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25
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Quiroz YT, Solis M, Aranda MP, Arbaje AI, Arroyo‐Miranda M, Cabrera LY, Carrasquillo MM, Corrada MM, Crivelli L, Diminich ED, Dorsman KA, Gonzales M, González HM, Gonzalez‐Seda AL, Grinberg LT, Guerrero LR, Hill CV, Jimenez‐Velazquez IZ, Guerra JJL, Lopera F, Maestre G, Medina LD, O'Bryant S, Peñaloza C, Pinzon MM, Mavarez RVP, Pluim CF, Raman R, Rascovsky K, Rentz DM, Reyes Y, Rosselli M, Tansey MG, Vila‐Castelar C, Zuelsdorff M, Carrillo M, Sexton C. Addressing the disparities in dementia risk, early detection and care in Latino populations: Highlights from the second Latinos & Alzheimer's Symposium. Alzheimers Dement 2022; 18:1677-1686. [PMID: 35199931 PMCID: PMC9399296 DOI: 10.1002/alz.12589] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 02/05/2023]
Abstract
The Alzheimer's Association hosted the second Latinos & Alzheimer's Symposium in May 2021. Due to the COVID-19 pandemic, the meeting was held online over 2 days, with virtual presentations, discussions, mentoring sessions, and posters. The Latino population in the United States is projected to have the steepest increase in Alzheimer's disease (AD) in the next 40 years, compared to other ethnic groups. Latinos have increased risk for AD and other dementias, limited access to quality care, and are severely underrepresented in AD and dementia research and clinical trials. The symposium highlighted developments in AD research with Latino populations, including advances in AD biomarkers, and novel cognitive assessments for Spanish-speaking populations, as well as the need to effectively recruit and retain Latinos in clinical research, and how best to deliver health-care services and to aid caregivers of Latinos living with AD.
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Affiliation(s)
- Yakeel T. Quiroz
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | | | | | - Alicia I. Arbaje
- Division of Geriatric Medicine and GerontologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | | | - Laura Y. Cabrera
- The Pennsylvania State UniversityDepartment of Engineering Science and MechanicsUniversity ParkPennsylvaniaUSA
| | | | | | - Lucia Crivelli
- FleniDepartment of Cognitive NeurologyBuenos AiresArgentina
| | | | | | - Mitzi Gonzales
- The University of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Héctor M. González
- Department of NeurosciencesUniversity of California, San DiegoSan DiegoCaliforniaUSA
| | | | - Lea T. Grinberg
- University of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lourdes R. Guerrero
- David Geffen School of Medicine at University of California, Los AngelesLos AngelesCaliforniaUSA
| | | | - Ivonne Z. Jimenez‐Velazquez
- Medicine DepartmentUniversity of Puerto Rico School of MedicineMedical Sciences CampusSan JuanPuerto RicoUSA
| | | | - Francisco Lopera
- Neuroscience Group of AntioquiaUniversity of AntioquiaMedellinColombia
| | | | | | - Sid O'Bryant
- University of North Texas Health Science CenterFort WorthTexasUSA
| | - Claudia Peñaloza
- Department of CognitionDevelopment and Educational PsychologyUniversity of BarcelonaBarcelonaSpain
| | - Maria Mora Pinzon
- Department of Family Medicine and Community HealthUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Rosa V. Pirela Mavarez
- University of Texas Rio Grande ValleySchool of Medicine, Department of Human GeneticsEdinburgTexasUSA
- Rio Grande Valley Alzheimer's Disease Resources Center for Minority Aging ResearchUniversity of Texas Rio Grande ValleySchool of MedicineEdinburgTexasUSA
| | - Celina F. Pluim
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | - Rema Raman
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Katya Rascovsky
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | | | - Monica Rosselli
- Department of PsychologyFlorida Atlantic UniversityBoca RatonFloridaUSA
| | | | | | - Megan Zuelsdorff
- University of Wisconsin–Madison School of NursingMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
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26
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Hanks SC, Forer L, Schönherr S, LeFaive J, Martins T, Welch R, Gagliano Taliun SA, Braff D, Johnsen JM, Kenny EE, Konkle BA, Laakso M, Loos RF, McCarroll S, Pato C, Pato MT, Smith AV, Boehnke M, Scott LJ, Fuchsberger C. Extent to which array genotyping and imputation with large reference panels approximate deep whole-genome sequencing. Am J Hum Genet 2022; 109:1653-1666. [PMID: 35981533 PMCID: PMC9502057 DOI: 10.1016/j.ajhg.2022.07.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 07/20/2022] [Indexed: 01/02/2023] Open
Abstract
Understanding the genetic basis of human diseases and traits is dependent on the identification and accurate genotyping of genetic variants. Deep whole-genome sequencing (WGS), the gold standard technology for SNP and indel identification and genotyping, remains very expensive for most large studies. Here, we quantify the extent to which array genotyping followed by genotype imputation can approximate WGS in studies of individuals of African, Hispanic/Latino, and European ancestry in the US and of Finnish ancestry in Finland (a population isolate). For each study, we performed genotype imputation by using the genetic variants present on the Illumina Core, OmniExpress, MEGA, and Omni 2.5M arrays with the 1000G, HRC, and TOPMed imputation reference panels. Using the Omni 2.5M array and the TOPMed panel, ≥90% of bi-allelic single-nucleotide variants (SNVs) are well imputed (r2 > 0.8) down to minor-allele frequencies (MAFs) of 0.14% in African, 0.11% in Hispanic/Latino, 0.35% in European, and 0.85% in Finnish ancestries. There was little difference in TOPMed-based imputation quality among the arrays with >700k variants. Individual-level imputation quality varied widely between and within the three US studies. Imputation quality also varied across genomic regions, producing regions where even common (MAF > 5%) variants were consistently not well imputed across ancestries. The extent to which array genotyping and imputation can approximate WGS therefore depends on reference panel, genotype array, sample ancestry, and genomic location. Imputation quality by variant or genomic region can be queried with our new tool, RsqBrowser, now deployed on the Michigan Imputation Server.
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Affiliation(s)
- Sarah C. Hanks
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lukas Forer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Taylor Martins
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ryan Welch
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sarah A. Gagliano Taliun
- Department of Medicine and Department of Neurosciences, Université de Montréal, Montreal, QC, Canada,Research Centre, Montreal Heart Institute, Montreal, QC, Canada
| | - David Braff
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jill M. Johnsen
- Research Institute, Bloodworks, Seattle, WA, USA,Department of Medicine, University of Washington, Seattle, WA, USA
| | - Eimear E. Kenny
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ruth F.J. Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven McCarroll
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Carlos Pato
- Departments of Psychiatry, Rutgers University, Robert Wood Johnson Medical School and New Jersey Medical School, New Brunswick, NJ, USA
| | - Michele T. Pato
- Departments of Psychiatry, Rutgers University, Robert Wood Johnson Medical School and New Jersey Medical School, New Brunswick, NJ, USA
| | - Albert V. Smith
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Laura J. Scott
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute for Biomedicine (Affiliated with the University of Lübeck), Eurac Research, Bolzano, Italy.
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27
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Walsh KM, Neff C, Bondy ML, Kruchko C, Huse JT, Amos CI, Barnholtz-Sloan JS, Ostrom QT. Influence of county-level geographic/ancestral origin on glioma incidence and outcomes in US Hispanics. Neuro Oncol 2022; 25:398-406. [PMID: 35868246 PMCID: PMC9925707 DOI: 10.1093/neuonc/noac175] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Glioma incidence is 25% lower in Hispanics than White non-Hispanics. The US Hispanic population is diverse, and registry-based analyses may mask incidence differences associated with geographic/ancestral origins. METHODS County-level glioma incidence data in Hispanics were retrieved from the Central Brain Tumor Registry of the United States. American Community Survey data were used to determine the county-level proportion of the Hispanic population of Mexican/Central American and Caribbean origins. Age-adjusted incidence rate ratios and incidence rate ratios (IRRs) quantified the glioma incidence differences across groups. State-level estimates of admixture in Hispanics were obtained from published 23andMe data. RESULTS Compared to predominantly Caribbean-origin counties, predominantly Mexican/Central American-origin counties had lower age-adjusted risks of glioma (IRR = 0.83; P < 0.0001), glioblastoma (IRR = 0.86; P < 0.0001), diffuse/anaplastic astrocytoma (IRR = 0.78; P < 0.0001), oligodendroglioma (IRR = 0.82; P < 0.0001), ependymoma (IRR = 0.88; P = 0.012), and pilocytic astrocytoma (IRR = 0.76; P < 0.0001). Associations were consistent in children and adults and using more granular geographic regions. Despite having lower glioma incidence, Hispanic glioblastoma patients from predominantly Mexican/Central American-origin counties had poorer survival than Hispanics living in predominantly Caribbean-origin counties. Incidence and survival differences could be partially explained by state-level estimates of European admixture in Hispanics with European admixture associated with higher incidence and improved survival. CONCLUSIONS Glioma incidence and outcomes differ in association with the geographic origins of Hispanic communities, with counties of predominantly Mexican/Central American origin at significantly reduced risk and those of Caribbean origin at comparatively greater risk. Although typically classified as a single ethnic group, appreciating the cultural, socioeconomic, and genetic diversity of Hispanics can advance cancer disparities research.
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Affiliation(s)
- Kyle M Walsh
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA,The Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, NC,Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Corey Neff
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA,Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Melissa L Bondy
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Carol Kruchko
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA
| | - Jason T Huse
- Department of Translational Molecular Pathology and Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Christopher I Amos
- Department of Medicine, Section of Epidemiology and Population Sciences, and Institute for Clinical and Translational Research, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Jill S Barnholtz-Sloan
- Central Brain Tumor Registry of the United States, Hinsdale, Illinois, USA,Center for Biomedical Informatics & Information Technology and Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Quinn T Ostrom
- Corresponding Author: Quinn T. Ostrom, PhD, MPH, Department of Neurosurgery, Duke University School of Medicine, Box 3050, Durham, NC 27710 ()
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Ramos-Gonzalez D, Saenko SV, Davison A. Deep structure, long-distance migration and admixture in the colour polymorphic land snail Cepaea nemoralis. J Evol Biol 2022; 35:1110-1125. [PMID: 35830483 PMCID: PMC9541890 DOI: 10.1111/jeb.14060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/20/2022] [Accepted: 06/12/2022] [Indexed: 12/03/2022]
Abstract
Although snails of the genus Cepaea have historically been important in studying colour polymorphism, an ongoing issue is that there is a lack of knowledge of the underlying genetics of the polymorphism, as well as an absence of genomic data to put findings in context. We, therefore, used phylogenomic methods to begin to investigate the post‐glacial history of Cepaea nemoralis, with a long‐term aim to understand the roles that selection and drift have in determining both European‐wide and local patterns of colour polymorphism. By combining prior and new mitochondrial DNA data from over 1500 individuals with ddRAD genomic data from representative individuals across Europe, we show that patterns of differentiation are primarily due to multiple deeply diverged populations of snails. Minimally, there is a widespread Central European population and additional diverged groups in Northern Spain, the Pyrenees, as well as likely Italy and South Eastern Europe. The genomic analysis showed that the present‐day snails in Ireland and possibly some other locations are likely descendants of admixture between snails from the Pyrenees and the Central European group, an observation that is consistent with prior inferences from mitochondrial DNA alone. The interpretation is that C. nemoralis may have arrived in Ireland via long‐distance migration from the Pyrenean region, subsequently admixing with arrivals from elsewhere. This work, therefore, provides a baseline expectation for future studies on the genetics of the colour polymorphism, as well as providing a comparator for similar species.
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Affiliation(s)
| | - Suzanne V Saenko
- Evolutionary Ecology, Naturalis Biodiversity Center, Leiden, The Netherlands.,Institute of Biology Leiden, Leiden University, Leiden, The Netherlands
| | - Angus Davison
- School of Life Sciences, University of Nottingham, Nottingham, UK
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29
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da Cruz PRS, Ananina G, Secolin R, Gil-da-Silva-Lopes VL, Lima CSP, de França PHC, Donatti A, Lourenço GJ, de Araujo TK, Simioni M, Lopes-Cendes I, Costa FF, de Melo MB. Demographic history differences between Hispanics and Brazilians imprint haplotype features. G3 GENES|GENOMES|GENETICS 2022; 12:6576632. [PMID: 35511163 PMCID: PMC9258545 DOI: 10.1093/g3journal/jkac111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 04/27/2022] [Indexed: 11/24/2022]
Abstract
Admixture is known to greatly impact the genetic landscape of a population and, while genetic variation underlying human phenotypes has been shown to differ among populations, studies on admixed subjects are still scarce. Latin American populations are the result of complex demographic history, such as 2 or 3-way admixing events, bottlenecks and/or expansions, and adaptive events unique to the American continent. To explore the impact of these events on the genetic structure of Latino populations, we evaluated the following haplotype features: linkage disequilibrium, shared identity by descent segments, runs of homozygosity, and extended haplotype homozygosity (integrated haplotype score) in Latinos represented in the 1000 Genome Project along with array data from 171 Brazilians sampled in the South and Southeast regions of Brazil. We found that linkage disequilibrium decay relates to the amount of American and African ancestry. The extent of identity by descent sharing positively correlates with historical effective population sizes, which we found to be steady or growing, except for Puerto Ricans and Colombians. Long runs of homozygosity, a particular instance of autozygosity, was only enriched in Peruvians and Native Americans. We used simulations to account for random sampling and linkage disequilibrium to filter positive selection indexes and found 244 unique markers under selection, 26 of which are common to 2 or more populations. Some markers exhibiting positive selection signals had estimated time to the most recent common ancestor consistent with human adaptation to the American continent. In conclusion, Latino populations present highly divergent haplotype characteristics that impact genetic architecture and underlie complex phenotypes.
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Affiliation(s)
- Pedro Rodrigues Sousa da Cruz
- Laboratory of Human Genetics, Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas—UNICAMP , Campinas, SP 13083-875, Brazil
| | - Galina Ananina
- Laboratory of Human Genetics, Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas—UNICAMP , Campinas, SP 13083-875, Brazil
| | - Rodrigo Secolin
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN) , Campinas, SP 13083-887, Brazil
| | - Vera Lúcia Gil-da-Silva-Lopes
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
| | - Carmen Silvia Passos Lima
- Clinical Oncology Service, Department of Internal Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
| | | | - Amanda Donatti
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN) , Campinas, SP 13083-887, Brazil
| | - Gustavo Jacob Lourenço
- Laboratory of Cancer Genetics, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
| | - Tânia Kawasaki de Araujo
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
| | - Milena Simioni
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
| | - Iscia Lopes-Cendes
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas—UNICAMP , Campinas, SP 13083-887, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology (BRAINN) , Campinas, SP 13083-887, Brazil
| | - Fernando Ferreira Costa
- Hematology and Hemotherapy Center, University of Campinas—UNICAMP, Campinas, SP, 13083-878 , Brazil
| | - Mônica Barbosa de Melo
- Laboratory of Human Genetics, Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas—UNICAMP , Campinas, SP 13083-875, Brazil
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30
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Ossa Gomez CA, Achatz MI, Hurtado M, Sanabria-Salas MC, Sullcahuaman Y, Chávarri-Guerra Y, Dutil J, Nielsen SM, Esplin ED, Michalski ST, Bristow SL, Hatchell KE, Nussbaum RL, Pineda-Alvarez DE, Ashton-Prolla P. Germline Pathogenic Variant Prevalence Among Latin American and US Hispanic Individuals Undergoing Testing for Hereditary Breast and Ovarian Cancer: A Cross-Sectional Study. JCO Glob Oncol 2022; 8:e2200104. [PMID: 35867948 PMCID: PMC9812461 DOI: 10.1200/go.22.00104] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/13/2022] [Accepted: 06/15/2022] [Indexed: 01/07/2023] Open
Abstract
PURPOSE To report on pathogenic germline variants detected among individuals undergoing genetic testing for hereditary breast and/or ovarian cancer (HBOC) from Latin America and compare them with self-reported Hispanic individuals from the United States. METHODS In this cross-sectional study, unrelated individuals with a personal/family history suggestive of HBOC who received clinician-ordered germline multigene sequencing were grouped according to the location of the ordering physician: group A, Mexico, Central America, and the Caribbean; group B, South America; and group C, United States with individuals who self-reported Hispanic ethnicity. Relatives who underwent cascade testing were analyzed separately. RESULTS Among 24,075 unrelated probands across all regions, most were female (94.9%) and reported a personal history suggestive of HBOC (range, 65.0%-80.6%); the mean age at testing was 49.1 ± 13.1 years. The average number of genes analyzed per patient was highest in group A (A 63 ± 28, B 56 ± 29, and C 40 ± 28). Between 9.1% and 18.7% of patients had pathogenic germline variants in HBOC genes (highest yield in group A), with the majority associated with high HBOC risk. Compared with US Hispanics individuals the overall yield was significantly higher in both Latin American regions (A v C P = 1.64×10-9, B v C P < 2.2×10-16). Rates of variants of uncertain significance were similar across all three regions (33.7%-42.6%). Cascade testing uptake was low in all regions (A 6.6%, B 4.5%, and C 1.9%). CONCLUSION This study highlights the importance of multigene panel testing in Latin American individuals with newly diagnosed or history of HBOC, who can benefit from medical management changes including targeted therapies, eligibility to clinical trials, risk-reducing surgeries, surveillance and prevention of secondary malignancy, and genetic counseling and subsequent cascade testing of at-risk relatives.
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Affiliation(s)
| | - Maria Isabel Achatz
- Department of Oncology, Hospital Sírio-Libanês, Brasília, Distrito Federal, Brazil
| | - Mabel Hurtado
- Instituto Oncológico, Fundación Arturo López Pérez, Santiago, Chile
| | | | - Yasser Sullcahuaman
- Universidad Peruana de Ciencias Aplicadas, Lima, Peru
- Instituto de Investigación Genomica, Lima, Peru
| | - Yanin Chávarri-Guerra
- Department of Hemato-Oncology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Julie Dutil
- Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Pone, Puerto Rico
| | | | | | | | | | | | | | | | - Patricia Ashton-Prolla
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Serviço de Genética Médica e Laboratório de Medicina Genômica, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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31
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MacDermod C, Pettie MA, Carrino EA, Garcia SC, Padalecki S, Finch JE, Sanzari C, Kennedy HL, Pawar PS, Mcgough MM, Iwashita A, Takgbajouah M, Coan D, Szakasits L, Goode RW, Wu Y, Reyes‐Rodríguez ML, Vacuán EMTC, Kennedy MA, Cleland L, Jordan J, Maguire S, Guintivano JD, Giusti‐Rodríguez P, Baker JH, Thornton LM, Bulik CM. Recommendations to encourage participation of individuals from diverse backgrounds in psychiatric genetic studies. Am J Med Genet B Neuropsychiatr Genet 2022; 189:163-173. [PMID: 35785430 PMCID: PMC9542122 DOI: 10.1002/ajmg.b.32906] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/04/2022] [Accepted: 06/14/2022] [Indexed: 11/21/2022]
Abstract
We present innovative research practices in psychiatric genetic studies to ensure representation of individuals from diverse ancestry, sex assigned at birth, gender identity, age, body shape and size, and socioeconomic backgrounds. Due to histories of inappropriate and harmful practices against marginalized groups in both psychiatry and genetics, people of certain identities may be hesitant to participate in research studies. Yet their participation is essential to ensure diverse representation, as it is incorrect to assume that the same genetic and environmental factors influence the risk for various psychiatric disorders across all demographic groups. We present approaches developed as part of the Eating Disorders Genetics Initiative (EDGI), a study that required tailored approaches to recruit diverse populations across many countries. Considerations include research priorities and design, recruitment and study branding, transparency, and community investment and ownership. Ensuring representation in participants is costly and funders need to provide adequate support to achieve diversity in recruitment in prime awards, not just as supplemental afterthoughts. The need for diverse samples in genetic studies is critical to minimize the risk of perpetuating health disparities in psychiatry and other health research. Although the EDGI strategies were designed specifically to attract and enroll individuals with eating disorders, our approach is broadly applicable across psychiatry and other fields.
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Affiliation(s)
- Casey MacDermod
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Michaela A. Pettie
- Department of Pathology and Biomedical ScienceUniversity of OtagoChristchurchNew Zealand
| | - Emily A. Carrino
- Department of Psychology and NeuroscienceUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Susana Cruz Garcia
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of PsychologyUniversity at Albany, State University of New YorkAlbanyNew YorkUSA
| | - Sophie Padalecki
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Elon UniversityElonNorth CarolinaUSA
| | - Jody E. Finch
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of PsychologyGeorgia State UniversityAtlantaGeorgiaUSA
| | - Christina Sanzari
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of PsychologyUniversity at Albany, State University of New YorkAlbanyNew YorkUSA
| | - Hannah L. Kennedy
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Pratiksha S. Pawar
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Dr. D. Y. Patil Biotechnology & Bioinformatics InstituteDr. D. Y. Patil VidyapeethPuneIndia
| | | | - Ava Iwashita
- Crystal Springs Uplands SchoolHillsboroughCaliforniaUSA
| | - Mary Takgbajouah
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of PsychologyDePaul UniversityChicagoIllinoisUSA
| | - Danielle Coan
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of Social WorkNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Lindsey Szakasits
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of PsychiatryCampbell UniversityBules CreekNorth CarolinaUSA
| | - Rachel W. Goode
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,School of Social WorkUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Ya‐Ke Wu
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,School of NursingUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | | | - Eva María Trujillo Chi Vacuán
- Comenzar de Nuevo Eating Disorders Treatment and Research CenterMonterreyMexico,Department of PediatricsSchool of Medicine and Health Sciences Tec SaludMonterreyMexico
| | - Martin A. Kennedy
- Department of Pathology and Biomedical ScienceUniversity of OtagoChristchurchNew Zealand
| | - Lana Cleland
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Jennifer Jordan
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Sarah Maguire
- Inside Out Institute for Eating DisordersSydneyAustralia,Faculty of Medicine and HealthUniversity of SydneySydneyAustralia
| | - Jerry D. Guintivano
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | | | - Jessica H. Baker
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Laura M. Thornton
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Cynthia M. Bulik
- Department of PsychiatryUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of NutritionUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA,Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
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Ji R, Yu X, Ren T, Chang Y, Li Z, Xia X, Yin W, Liu C. Genetic diversity and population structure of Caryopteris mongholica revealed by reduced representation sequencing. BMC PLANT BIOLOGY 2022; 22:297. [PMID: 35710341 PMCID: PMC9205053 DOI: 10.1186/s12870-022-03681-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Caryopteris mongholica Bunge is a rare broad-leaved shrub distributed in the desert and arid regions of Mongol and North China. Due to land reclamation, natural habitat deterioration and anthropogenic activities in recent years, the wild resources have sharply reduced. To effectively protect and rationally use it, we investigated the genetic diversity and population structure from 18 populations across the range of C. mongholica in China by reduced representation sequencing technology. RESULTS We found the overall average values of observed heterozygosity (Ho), expected heterozygosity (He), and average nucleotide diversity (π) were 0.43, 0.35 and 0.135, respectively. Furthermore, the NM17 population exhibited higher genetic diversity than other populations. The phylogenetic tree, principal component analysis (PCA) and structure analysis showed the sampled individuals clustered into two main groups. The NM03 population, with individuals clustered in both groups, may be a transitional population located between the two groups. In addition, most genetic variation existed within populations (90.97%) compared to that among the populations (9.03%). Interestingly, geographic and environmental distances were almost equally important to the observed genetic differences. Redundancy analysis (RDA) identified optical radiation (OR), minimum temperature (MIT) and mean annual precipitation (MAP) related variables as the most important environment factors influencing genetic variation, and the importance of MIT was also confirmed in the latent factor mixed models (LFMM). CONCLUSIONS The results of this study facilitate research on the genetic diversity of C. mongholica. These genetic features provided vital information for conserving and sustainably developing the C. mongholica genetic resources.
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Affiliation(s)
- Ruoxuan Ji
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Xiao Yu
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Tianmeng Ren
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Yuan Chang
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Zheng Li
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Xinli Xia
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Weilun Yin
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China
| | - Chao Liu
- College of Biological Sciences and Biotechnology, National Engineering Research Center of Tree Breeding, Beijing Forestry University, Beijing, China.
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Gallardo-Rincón D, Montes-Servín E, Alamilla-García G, Montes-Servín E, Bahena-González A, Cetina-Pérez L, Morales Vásquez F, Cano-Blanco C, Coronel-Martínez J, González-Ibarra E, Espinosa-Romero R, María Alvarez-Gómez R, Pedroza-Torres A, Castro-Eguiluz D. Clinical Benefits of Olaparib in Mexican Ovarian Cancer Patients With Founder Mutation BRCA1-Del ex9-12. Front Genet 2022; 13:863956. [PMID: 35734436 PMCID: PMC9207274 DOI: 10.3389/fgene.2022.863956] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 05/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Ovarian cancer (OC) is gynecologic cancer with the highest mortality rate. It is estimated that 13–17% of ovarian cancers are due to heritable mutations in BRCA1 and BRCA2. The BRCA1 (BRCA1-Del ex9-12) Mexican founder mutation is responsible for 28–35% of the cases with ovarian cancer. The aim was to describe the PFS of OC patients treated with olaparib, emphasizing patients carrying the Mexican founder mutation (BRCA1-Del ex9-12). Methods: In this observational study, of 107 patients with BRCAm, 35 patients were treated with olaparib from November 2016 to May 2021 at the Ovarian Cancer Program (COE) of Mexico; patient information was extracted from electronic medical records. Results: Of 311 patients, 107 (34.4%) were with BRCAm; 71.9% (77/107) were with BRCA1, of which 27.3% (21/77) were with BRCA1-Del ex9-12, and 28.1% (30/107) were with BRCA2 mutations. Only 35 patients received olaparib treatment, and the median follow-up was 12.87 months. The PFS of BRCA1-Del ex9-12 was NR (non-reach); however, 73% of the patients received the treatment at 36 vs. 11.59 months (95% CI; 10.43–12.75) in patients with other BRCAm (p = 0.008). Almost 50% of patients required dose reduction due to toxicity; the most frequent adverse events were hematological in 76.5% and gastrointestinal in 4%. Conclusion: Mexican OC BRCA1-Del ex9-12 patients treated with olaparib had a significant increase in PFS regardless of the line of treatment compared to other mutations in BRCA.
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Affiliation(s)
- Dolores Gallardo-Rincón
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- *Correspondence: Dolores Gallardo-Rincón,
| | - Edgar Montes-Servín
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Gabriela Alamilla-García
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Elizabeth Montes-Servín
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Antonio Bahena-González
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Lucely Cetina-Pérez
- Department of Clinical Research and Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Cervical Cancer Program (Micaela), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Flavia Morales Vásquez
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Claudia Cano-Blanco
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Jaime Coronel-Martínez
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Ernesto González-Ibarra
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Raquel Espinosa-Romero
- Ovarian and Endometrial Cancer Program (COE), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Department of Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Rosa María Alvarez-Gómez
- Department of Clinical Research and Medical Oncology, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Hereditary Cancer Clinic, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
| | - Abraham Pedroza-Torres
- Hereditary Cancer Clinic, Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Catedrático CONACYT, Instituto Nacional de Cancerología, Mexico City, Mexico
| | - Denisse Castro-Eguiluz
- Cervical Cancer Program (Micaela), Instituto Nacional de Cancerología (INCan), Mexico City, Mexico
- Catedrático CONACYT, Instituto Nacional de Cancerología, Mexico City, Mexico
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Quiat D, Kim SW, Zhang Q, Morton SU, Pereira AC, DePalma SR, Willcox JAL, McDonough B, DeLaughter DM, Gorham JM, Curran JJ, Tumblin M, Nicolau Y, Artunduaga MA, Quintanilla-Dieck L, Osorno G, Serrano L, Hamdan U, Eavey RD, Seidman CE, Seidman JG. An ancient founder mutation located between ROBO1 and ROBO2 is responsible for increased microtia risk in Amerindigenous populations. Proc Natl Acad Sci U S A 2022; 119:e2203928119. [PMID: 35584116 PMCID: PMC9173816 DOI: 10.1073/pnas.2203928119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/12/2022] [Indexed: 01/14/2023] Open
Abstract
Microtia is a congenital malformation that encompasses mild hypoplasia to complete loss of the external ear, or pinna. Although the contribution of genetic variation and environmental factors to microtia remains elusive, Amerindigenous populations have the highest reported incidence. Here, using both transmission disequilibrium tests and association studies in microtia trios (parents and affected child) and microtia cohorts enrolled in Latin America, we map an ∼10-kb microtia locus (odds ratio = 4.7; P = 6.78e-18) to the intergenic region between Roundabout 1 (ROBO1) and Roundabout 2 (ROBO2) (chr3: 78546526 to 78555137). While alleles at the microtia locus significantly increase the risk of microtia, their penetrance is low (<1%). We demonstrate that the microtia locus contains a polymorphic complex repeat element that is expanded in affected individuals. The locus is located near a chromatin loop region that regulates ROBO1 and ROBO2 expression in induced pluripotent stem cell–derived neural crest cells. Furthermore, we use single nuclear RNA sequencing to demonstrate ROBO1 and ROBO2 expression in both fibroblasts and chondrocytes of the mature human pinna. Because the microtia allele is enriched in Amerindigenous populations and is shared by some East Asian subjects with craniofacial malformations, we propose that both populations share a mutation that arose in a common ancestor prior to the ancient migration of Eurasian populations into the Americas and that the high incidence of microtia among Amerindigenous populations reflects the population bottleneck that occurred during the migration out of Eurasia.
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Affiliation(s)
- Daniel Quiat
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | - Seong Won Kim
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | - Qi Zhang
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | - Sarah U. Morton
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115
- Department of Genetics, Harvard Medical School, Boston, MA 02115
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA 02115
| | - Alexandre C. Pereira
- Department of Genetics, Harvard Medical School, Boston, MA 02115
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, Medical School of University of Sao Paulo, Sao Paulo, 05508-060, Brazil
| | | | | | | | | | - Joshua M. Gorham
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | - Justin J. Curran
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | | | | | | | - Lourdes Quintanilla-Dieck
- Department of Otolaryngology Head and Neck Surgery, Oregon Health & Science University, Portland, OR 97239
| | - Gabriel Osorno
- Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
| | | | | | - Roland D. Eavey
- Department of Otolaryngology Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN 37232
| | - Christine E. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA 02115
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA 02115
- HHMI, Chevy Chase, MD 20815
| | - J. G. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA 02115
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Nieves-Colón MA. Anthropological genetic insights on Caribbean population history. Evol Anthropol 2022; 31:118-137. [PMID: 35060661 DOI: 10.1002/evan.21935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 06/18/2021] [Accepted: 12/15/2021] [Indexed: 11/09/2022]
Abstract
As the last American region settled by humans, yet the first to experience European colonization, the Caribbean islands have a complex history characterized by continuous migration, admixture, and demographic change. In the last 20 years, genetics research has transformed our understanding of Caribbean population history and revisited major debates in Caribbean anthropology, such as those surrounding the first peopling of the Antilles and the relationship between ancient Indigenous communities and present-day islanders. Genetics studies have also contributed novel perspectives for understanding pivotal events in Caribbean post-contact history such as European colonization, the Atlantic Slave Trade, and the Asian Indenture system. Here, I discuss the last 20 years of Caribbean genetics research and emphasize the importance of integrating genetics with interdisciplinary historic, archaeological, and anthropological approaches. Such interdisciplinary research is essential for investigating the dynamic history of the Caribbean and characterizing its impact on the biocultural diversity of present-day Caribbean peoples.
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Affiliation(s)
- Maria A Nieves-Colón
- Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
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Li B, Aouizerat BE, Cheng Y, Anastos K, Justice AC, Zhao H, Xu K. Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans. Commun Biol 2022; 5:401. [PMID: 35488087 PMCID: PMC9054854 DOI: 10.1038/s42003-022-03353-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 04/11/2022] [Indexed: 12/03/2022] Open
Abstract
Here we report three epigenome-wide association studies (EWAS) of DNA methylation on self-reported race, global genetic ancestry, and local genetic ancestry in admixed Americans from three sets of samples, including internal and external replications (Ntotal = 1224). Our EWAS on local ancestry (LA) identified the largest number of ancestry-associated DNA methylation sites and also featured the highest replication rate. Furthermore, by incorporating ancestry origins of genetic variations, we identified 36 methylation quantitative trait loci (meQTL) clumps for LA-associated CpGs that cannot be captured by a model that assumes identical genetic effects across ancestry origins. Lead SNPs at 152 meQTL clumps had significantly different genetic effects in the context of an African or European ancestry background. Local ancestry information enables superior capture of ancestry-associated methylation signatures and identification of ancestry-specific genetic effects on DNA methylation. These findings highlight the importance of incorporating local ancestry for EWAS in admixed samples from multi-ancestry cohorts.
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Affiliation(s)
- Boyang Li
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, United States
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, United States
| | - Bradley E Aouizerat
- Bluestone Center for Clinical Research, New York University, New York, NY, United States
- Department of Oral and Maxillofacial Surgery, New York University, New York, NY, United States
| | - Youshu Cheng
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, United States
| | - Kathryn Anastos
- Division of General Internal Medicine, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY, United States
| | - Amy C Justice
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, United States
- Department of Health Policy and Management, Yale University, New Haven, CT, United States
| | - Hongyu Zhao
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, United States.
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, United States.
| | - Ke Xu
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, United States.
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, United States.
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37
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Fernández-Rhodes L, Graff M, Buchanan VL, Justice AE, Highland HM, Guo X, Zhu W, Chen HH, Young KL, Adhikari K, Palmer ND, Below JE, Bradfield J, Pereira AC, Glover L, Kim D, Lilly AG, Shrestha P, Thomas AG, Zhang X, Chen M, Chiang CW, Pulit S, Horimoto A, Krieger JE, Guindo-Martínez M, Preuss M, Schumann C, Smit RA, Torres-Mejía G, Acuña-Alonzo V, Bedoya G, Bortolini MC, Canizales-Quinteros S, Gallo C, González-José R, Poletti G, Rothhammer F, Hakonarson H, Igo R, Adler SG, Iyengar SK, Nicholas SB, Gogarten SM, Isasi CR, Papnicolaou G, Stilp AM, Qi Q, Kho M, Smith JA, Langefeld CD, Wagenknecht L, Mckean-Cowdin R, Gao XR, Nousome D, Conti DV, Feng Y, Allison MA, Arzumanyan Z, Buchanan TA, Ida Chen YD, Genter PM, Goodarzi MO, Hai Y, Hsueh W, Ipp E, Kandeel FR, Lam K, Li X, Nadler JL, Raffel LJ, Roll K, Sandow K, Tan J, Taylor KD, Xiang AH, Yao J, Audirac-Chalifour A, de Jesus Peralta Romero J, Hartwig F, Horta B, Blangero J, Curran JE, Duggirala R, Lehman DE, Puppala S, Fejerman L, John EM, Aguilar-Salinas C, Burtt NP, Florez JC, García-Ortíz H, González-Villalpando C, Mercader J, Orozco L, Tusié-Luna T, Blanco E, Gahagan S, Cox NJ, Hanis C, Butte NF, Cole SA, Comuzzie AG, Voruganti VS, Rohde R, Wang Y, Sofer T, Ziv E, Grant SF, Ruiz-Linares A, Rotter JI, Haiman CA, Parra EJ, Cruz M, Loos RJ, North KE. Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium. HGG ADVANCES 2022; 3:100099. [PMID: 35399580 PMCID: PMC8990175 DOI: 10.1016/j.xhgg.2022.100099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 03/06/2022] [Indexed: 02/05/2023] Open
Abstract
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.
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Affiliation(s)
- Lindsay Fernández-Rhodes
- Department of Biobehavioral Health, Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA 16802, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Victoria L. Buchanan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Anne E. Justice
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA 17822, USA
| | - Heather M. Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Wanying Zhu
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Hung-Hsin Chen
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, MK7 6AA Milton Keynes, UK
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jonathan Bradfield
- Center for Applied Genomics, Division of Human Genetics, Department of Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo, São Paulo 05508-220, Brazil
| | - LáShauntá Glover
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Daeeun Kim
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Adam G. Lilly
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Poojan Shrestha
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Division of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Alvin G. Thomas
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Xinruo Zhang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Charleston W.K. Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90007, USA
| | - Sara Pulit
- Vertex Pharmaceuticals, W2 6BD Oxford, UK
| | - Andrea Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo, São Paulo 05508-220, Brazil
| | - Jose E. Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo, São Paulo 05508-220, Brazil
| | - Marta Guindo-Martínez
- The Charles Bronfman Institutes for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Novo Nordisk Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Michael Preuss
- The Charles Bronfman Institutes for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Claudia Schumann
- Hasso Plattner Institute, University of Potsdam, Digital Health Center, 14482 Potsdam, Germany
| | - Roelof A.J. Smit
- The Charles Bronfman Institutes for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gabriela Torres-Mejía
- Department of Research in Cardiovascular Diseases, Diabetes Mellitus, and Cancer, Population Health Research Center, National Institute of Public Health, Cuernavaca, Morelos 62100, Mexico
| | | | - Gabriel Bedoya
- Molecular Genetics Investigation Group, University of Antioquia, Medellín 1226, Colombia
| | - Maria-Cátira Bortolini
- Department of Genetics, Federal University of Rio Grande do Sul, Porto Alegre 90040-060, Brazil
| | - Samuel Canizales-Quinteros
- Population Genomics Applied to Health Unit, The National Institute of Genomic Medicine and the Faculty of Chemistry at the National Autonomous University of Mexico, Mexico City 04510, Mexico
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Rolando González-José
- Patagonian Institute of the Social and Human Sciences, Patagonian National Center, Puerto Madryn U9120, Argentina
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | | | - Hakon Hakonarson
- Center for Applied Genomics, Division of Human Genetics, Department of Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Robert Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Sharon G. Adler
- Division of Nephrology and Hypertension, Harbor-University of California Los Angeles Medical Center, Torrance, CA 90502, USA
| | - Sudha K. Iyengar
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Susanne B. Nicholas
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA 90095, USA
| | | | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Lynne Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Roberta Mckean-Cowdin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Xiaoyi Raymond Gao
- Department of Ophthalmology and Visual Sciences, Department of Biomedical Informatics, Division of Human Genetics, The Ohio State University, Columbus, OH 43210, USA
| | - Darryl Nousome
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - David V. Conti
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ye Feng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Matthew A. Allison
- Department of Family Medicine, University of California, San Diego, CA 92161, USA
| | - Zorayr Arzumanyan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Thomas A. Buchanan
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Pauline M. Genter
- Department of Medicine, Division of Endocrinology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Yang Hai
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Willa Hsueh
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Eli Ipp
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA 90095, USA
- Department of Medicine, Division of Endocrinology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Fouad R. Kandeel
- Department of Translational Research & Cellular Therapeutics, Beckman Research Institute of City of Hope, Duarte, CA 91010, USA
| | - Kelvin Lam
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Xiaohui Li
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Jerry L. Nadler
- Department of Pharmacology at New York Medical College School of Medicine, Valhalla, NY 10595, USA
| | - Leslie J. Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, CA 92697, USA
| | - Kathryn Roll
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Kevin Sandow
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Jingyi Tan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Anny H. Xiang
- Research and Evaluation Branch, Kaiser Permanente of Southern California, Pasadena, CA 91101, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Astride Audirac-Chalifour
- Medical Research Unit in Biochemistry, Specialty Hospital, National Medical Center of the Twenty-First Century, Mexican Institute of Social Security, Mexico City 06725, Mexico
| | - Jose de Jesus Peralta Romero
- Medical Research Unit in Biochemistry, Specialty Hospital, National Medical Center of the Twenty-First Century, Mexican Institute of Social Security, Mexico City 06725, Mexico
| | - Fernando Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas 96010-610, Brazil
| | - Bernando Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas 96010-610, Brazil
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX 78520 and 78539, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX 78520 and 78539, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville and Edinburg, TX 78520 and 78539, USA
| | - Donna E. Lehman
- Department of Medicine, School of Medicine, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Sobha Puppala
- Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27109, USA
| | - Laura Fejerman
- Department of Public Health Sciences, School of Medicine, and the Comprehensive Cancer Center, University of California Davis, Davis, CA 95616, USA
| | - Esther M. John
- Departments of Epidemiology & Population Health and Medicine-Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Carlos Aguilar-Salinas
- Division of Nutrition, Salvador Zubirán National Institute of Health Sciences and Nutrition, Mexico City 14080, Mexico
| | - Noël P. Burtt
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Jose C. Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Humberto García-Ortíz
- Laboratory of Immunogenomics and Metabolic Diseases, National Institute of Genomic Medicine, Mexico City 14610, Mexico
| | - Clicerio González-Villalpando
- Center for Diabetes Studies, Research Unit for Diabetes and Cardiovascular Risk, Center for Population Health Studies, National Institute of Public Health, Mexico City 14080, Mexico
| | - Josep Mercader
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lorena Orozco
- Laboratory of Immunogenomics and Metabolic Diseases, National Institute of Genomic Medicine, Mexico City 14610, Mexico
| | - Teresa Tusié-Luna
- Molecular Biology and Medical Genomics Unity, Institute of Biomedical Research, The National Autonomous University of Mexico and the Salvador Zubirán National Institute of Health Sciences and Nutrition, Mexico City 14080, Mexico
| | - Estela Blanco
- Center for Community Health, Division of Academic General Pediatrics, University of California at San Diego, San Diego, CA 92093, USA
| | - Sheila Gahagan
- Center for Community Health, Division of Academic General Pediatrics, University of California at San Diego, San Diego, CA 92093, USA
| | - Nancy J. Cox
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Craig Hanis
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Nancy F. Butte
- United States Department of Agriculture, Agricultural Research Service, The Children’s Nutrition Research Center, and the Department Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shelley A. Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | | | - V. Saroja Voruganti
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
| | - Rebecca Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tamar Sofer
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Helen Diller Family Comprehensive Cancer Center, Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Struan F.A. Grant
- Center for Applied Genomics, Division of Human Genetics, Department of Pediatrics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Andres Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200438, China
- Department of Genetics, Evolution and Environment, and Genetics Institute of the University College London, London WC1E 6BT, UK
- Laboratory of Biocultural Anthropology, Law, Ethics, and Health, Aix-Marseille University, Marseille 13385, France
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Esteban J. Parra
- Department of Anthropology, University of Toronto- Mississauga, Mississauga, ON L5L 1C6, Canada
| | - Miguel Cruz
- Medical Research Unit in Biochemistry, Specialty Hospital, National Medical Center of the Twenty-First Century, Mexican Institute of Social Security, Mexico City 06725, Mexico
| | - Ruth J.F. Loos
- The Charles Bronfman Institutes for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
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Cuadros-Espinoza S, Laval G, Quintana-Murci L, Patin E. The genomic signatures of natural selection in admixed human populations. Am J Hum Genet 2022; 109:710-726. [PMID: 35259336 DOI: 10.1016/j.ajhg.2022.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/14/2022] [Indexed: 12/15/2022] Open
Abstract
Admixture has been a pervasive phenomenon in human history, extensively shaping the patterns of population genetic diversity. There is increasing evidence to suggest that admixture can also facilitate genetic adaptation to local environments, i.e., admixed populations acquire beneficial mutations from source populations, a process that we refer to as "adaptive admixture." However, the role of adaptive admixture in human evolution and the power to detect it remain poorly characterized. Here, we use extensive computer simulations to evaluate the power of several neutrality statistics to detect natural selection in the admixed population, assuming multiple admixture scenarios. We show that statistics based on admixture proportions, Fadm and LAD, show high power to detect mutations that are beneficial in the admixed population, whereas other statistics, including iHS and FST, falsely detect neutral mutations that have been selected in the source populations only. By combining Fadm and LAD into a single, powerful statistic, we scanned the genomes of 15 worldwide, admixed populations for signatures of adaptive admixture. We confirm that lactase persistence and resistance to malaria have been under adaptive admixture in West Africans and in Malagasy, North Africans, and South Asians, respectively. Our approach also uncovers other cases of adaptive admixture, including APOL1 in Fulani nomads and PKN2 in East Indonesians, involved in resistance to infection and metabolism, respectively. Collectively, our study provides evidence that adaptive admixture has occurred in human populations whose genetic history is characterized by periods of isolation and spatial expansions resulting in increased gene flow.
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Erazo D, Luna J, Preux PM, Medina MT, Magne J, Boumediene F, Couratier P. Amyotrophic lateral sclerosis mortality rates in Latin America and the Caribbean: a meta-analysis. Amyotroph Lateral Scler Frontotemporal Degener 2022; 23:608-619. [PMID: 35264038 DOI: 10.1080/21678421.2022.2048310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Background: Recent studies have described a low occurrence of Amyotrophic Lateral Sclerosis (ALS) in Latin America. Significant differences in ALS risk have been reported among ethnic populations in the region. We conducted a meta-analysis using population-based data to describe ALS mortality rates in Latin America. We explored sources of heterogeneity among key covariates.Methods: National mortality registries from Latin American countries were searched to identify ALS deaths according to the International Classification of Diseases (ICD-9: code 335.2 and ICD-10: code G12.2). Crude and standardized mortality rates were calculated. A random-effect meta-analysis was conducted to estimate pooled mortality rates. Subgroup analysis was performed as a means of investigating heterogeneity.Results: Overall, 28,548 ALS deaths and 819 million person-years of follow-up (PYFU) from ten Latin American countries were considered. Standardized mortality varied among countries. The highest mortality rates were observed in Uruguay and Costa Rica at 1.3 and 1.2 per 100,000 PYFU, respectively. The pooled crude mortality rate was 0.38 (95%CI: 0.28-0.53) and the pooled standardized mortality was 0.62 (95%CI: 0.49-0.77) per 100,000 PYFU. Heterogeneity was high (I2: 99.9%, Cochran's Q p < 0.001). Subgroup analysis showed a higher mortality rate among countries with a higher proportion of Caucasian populations and higher income levels.Conclusion: There is a lower ALS occurrence in Latin America compared to Europe and North America. This meta-analysis supports the hypothesis of a higher ALS risk among the Caucasian population. Further studies are needed to investigate the role of ancestral origins in ALS, taking socioeconomic status into consideration.
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Affiliation(s)
- Daniells Erazo
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Jaime Luna
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.,CHU Limoges, Department of Neurology, ALS Reference Center and Other MotorNeuron Diseases, Limoges, France
| | - Pierre-Marie Preux
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.,CHU Limoges, Centre d'Epidémiologie de Biostatistique et de Méthodologie de la Recherche, Limoges, France, and
| | - Marco Tulio Medina
- Latin America, WFN, Pan American Federation of Neurological Societies (PAFNS), Neurology and Epileptology, Faculty of Medical Sciences, National Autonomous University of Honduras, Tegucigalpa, Honduras
| | - Julien Magne
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.,CHU Limoges, Centre d'Epidémiologie de Biostatistique et de Méthodologie de la Recherche, Limoges, France, and
| | - Farid Boumediene
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Philippe Couratier
- Inserm U1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.,CHU Limoges, Department of Neurology, ALS Reference Center and Other MotorNeuron Diseases, Limoges, France
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Ramos-Gomez F, Kinsler JJ. Addressing social determinants of oral health, structural racism and discrimination and intersectionality among immigrant and non-English speaking Hispanics in the United States. J Public Health Dent 2022; 82 Suppl 1:133-139. [PMID: 35726467 PMCID: PMC9540311 DOI: 10.1111/jphd.12524] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/21/2022] [Accepted: 04/01/2022] [Indexed: 11/29/2022]
Abstract
Background The Hispanic population is the largest (18.5%) and fastest growing non‐majority ethnic group in the United States (US), about half of whom are non‐US born, and bears one of the highest oral disease burdens. Most current knowledge around oral health disparities in Hispanic populations examine the individual factors of culture, acculturation, and socioeconomic status. However, the root causes of this inequity; oral health literacy (OHL), social determinants of health (SDOH), structural racism and discrimination (SRD) and the intersectionality among the three, have not been well‐studied. Addressing this critical gap will be central to advancing health equity and reducing oral health‐related disparities in the Hispanic population, especially among immigrant and non‐English speaking Hispanics. Results Recommendations for future OHL/SDOH/SRD‐related research in oral health targeting Hispanic populations should include: (1) examining the direct and indirect effects of OHL/SDOH/SRD‐related factors and intersectionality, (2) assessing the impact of SRD on oral health using zip‐code level measures, (3) examining the role of OHL and SDOH as potential effect modifiers on the relationship between SRD and oral health outcomes, (4) conducting secondary data analysis to identify demographic, social and structural‐level variables and correlations between and among variables to predict oral health outcomes, and (5) obtaining a deeper understanding of how OHL/SDOH and SRD factors are experienced among Hispanic immigrant and migrant populations. Conclusion It is hoped these recommendations will lead to a better understanding of the mechanisms through which OHL, SDOH and SRD impact oral health outcomes among the largest minority population in the US so they can be addressed.
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Affiliation(s)
- Francisco Ramos-Gomez
- Division of Growth & Development, Section of Pediatric Dentistry, School of Dentistry, University of California, Los Angeles, Los Angeles, California, USA
| | - Janni J Kinsler
- Section of Pediatric Dentistry, School of Dentistry, University of California, Los Angeles, Los Angeles, California, USA
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Overview of the Americas’ First Peopling from a Patrilineal Perspective: New Evidence from the Southern Continent. Genes (Basel) 2022; 13:genes13020220. [PMID: 35205264 PMCID: PMC8871784 DOI: 10.3390/genes13020220] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 12/24/2022] Open
Abstract
Uniparental genetic systems are unique sex indicators and complement the study of autosomal diversity by providing landmarks of human migrations that repeatedly shaped the structure of extant populations. Our knowledge of the variation of the male-specific region of the Y chromosome in Native Americans is still rather scarce and scattered, but by merging sequence information from modern and ancient individuals, we here provide a comprehensive and updated phylogeny of the distinctive Native American branches of haplogroups C and Q. Our analyses confirm C-MPB373, C-P39, Q-Z780, Q-M848, and Q-Y4276 as the main founding haplogroups and identify traces of unsuccessful (pre-Q-F1096) or extinct (C-L1373*, Q-YP4010*) Y-chromosome lineages, indicating that haplogroup diversity of the founder populations that first entered the Americas was greater than that observed in the Indigenous component of modern populations. In addition, through a diachronic and phylogeographic dissection of newly identified Q-M848 branches, we provide the first Y-chromosome insights into the early peopling of the South American hinterland (Q-BY104773 and Q-BY15730) and on overlying inland migrations (Q-BY139813).
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Gachupin FC, Lee BR, Chipollini J, Pulling KR, Cruz A, Wong AC, Valencia CI, Hsu CH, Batai K. Renal Cell Carcinoma Surgical Treatment Disparities in American Indian/Alaska Natives and Hispanic Americans in Arizona. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:1185. [PMID: 35162208 PMCID: PMC8834853 DOI: 10.3390/ijerph19031185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/17/2022] [Accepted: 01/19/2022] [Indexed: 12/04/2022]
Abstract
American Indians/Alaska Natives (AI/AN) and Hispanic Americans (HA) have higher kidney cancer incidence and mortality rates compared to non-Hispanic Whites (NHW). Herein, we describe the disparity in renal cell carcinoma (RCC) surgical treatment for AI/AN and HA and the potential association with mortality in Arizona. A total of 5111 stage I RCC cases diagnosed between 2007 and 2016 from the Arizona Cancer Registry were included. Statistical analyses were performed to test the association of race/ethnicity with surgical treatment pattern and overall mortality, adjusting for patients' demographic, healthcare access, and socioeconomic factors. AI/AN were diagnosed 6 years younger than NHW and were more likely to receive radical rather than partial nephrectomy (OR 1.49 95% CI: 1.07-2.07) compared to NHW. Mexican Americans had increased odds of not undergoing surgical treatment (OR 1.66, 95% CI: 1.08-2.53). Analysis showed that not undergoing surgical treatment and undergoing radical nephrectomy were statistically significantly associated with higher overall mortality (HR 1.82 95% CI: 1.21-2.76 and HR 1.59 95% CI: 1.30-1.95 respectively). Mexican Americans, particularly U.S.-born Mexican Americans, had an increased risk for overall mortality and RCC-specific mortality even after adjusting for neighborhood socioeconomic factors and surgical treatment patterns. Although statistically not significant after adjusting for neighborhood-level socioeconomic factors and surgical treatment patterns, AI/AN had an elevated risk of mortality.
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Affiliation(s)
- Francine C. Gachupin
- Department of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ 85711, USA;
| | - Benjamin R. Lee
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
| | - Juan Chipollini
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
| | - Kathryn R. Pulling
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
| | - Alejandro Cruz
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
| | - Ava C. Wong
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
| | - Celina I. Valencia
- Department of Family and Community Medicine, College of Medicine, University of Arizona, Tucson, AZ 85711, USA;
| | - Chiu-Hsieh Hsu
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA;
| | - Ken Batai
- Department of Urology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA; (B.R.L.); (J.C.); (K.R.P.); (A.C.); (A.C.W.); (K.B.)
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Noren Hooten N, Pacheco NL, Smith JT, Evans MK. The accelerated aging phenotype: The role of race and social determinants of health on aging. Ageing Res Rev 2022; 73:101536. [PMID: 34883202 PMCID: PMC10862389 DOI: 10.1016/j.arr.2021.101536] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/12/2021] [Accepted: 12/03/2021] [Indexed: 02/06/2023]
Abstract
The pursuit to discover the fundamental biology and mechanisms of aging within the context of the physical and social environment is critical to designing interventions to prevent and treat its complex phenotypes. Aging research is critically linked to understanding health disparities because these inequities shape minority aging, which may proceed on a different trajectory than the overall population. Health disparities are characteristically seen in commonly occurring age-associated diseases such as cardiovascular and cerebrovascular disease as well as diabetes mellitus and cancer. The early appearance and increased severity of age-associated disease among African American and low socioeconomic status (SES) individuals suggests that the factors contributing to the emergence of health disparities may also induce a phenotype of 'premature aging' or 'accelerated aging' or 'weathering'. In marginalized and low SES populations with high rates of early onset age-associated disease the interaction of biologic, psychosocial, socioeconomic and environmental factors may result in a phenotype of accelerated aging biologically similar to premature aging syndromes with increased susceptibility to oxidative stress, premature accumulation of oxidative DNA damage, defects in DNA repair and higher levels of biomarkers of oxidative stress and inflammation. Health disparities, therefore, may be the end product of this complex interaction in populations at high risk. This review will examine the factors that drive both health disparities and the accelerated aging phenotype that ultimately contributes to premature mortality.
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Affiliation(s)
- Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Jessica T Smith
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA.
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Chande AT, Nagar SD, Rishishwar L, Mariño-Ramírez L, Medina-Rivas MA, Valderrama-Aguirre AE, Jordan IK, Gallo JE. The Impact of Ethnicity and Genetic Ancestry on Disease Prevalence and Risk in Colombia. Front Genet 2021; 12:690366. [PMID: 34650589 PMCID: PMC8507149 DOI: 10.3389/fgene.2021.690366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 08/11/2021] [Indexed: 11/13/2022] Open
Abstract
Currently, the vast majority of genomic research cohorts are made up of participants with European ancestry. Genomic medicine will only reach its full potential when genomic studies become more broadly representative of global populations. We are working to support the establishment of genomic medicine in developing countries in Latin America via studies of ethnically and ancestrally diverse Colombian populations. The goal of this study was to analyze the effect of ethnicity and genetic ancestry on observed disease prevalence and predicted disease risk in Colombia. Population distributions of Colombia's three major ethnic groups - Mestizo, Afro-Colombian, and Indigenous - were compared to disease prevalence and socioeconomic indicators. Indigenous and Mestizo ethnicity show the highest correlations with disease prevalence, whereas the effect of Afro-Colombian ethnicity is substantially lower. Mestizo ethnicity is mostly negatively correlated with six high-impact health conditions and positively correlated with seven of eight common cancers; Indigenous ethnicity shows the opposite effect. Malaria prevalence in particular is strongly correlated with ethnicity. Disease prevalence co-varies across geographic regions, consistent with the regional distribution of ethnic groups. Ethnicity is also correlated with regional variation in human development, partially explaining the observed differences in disease prevalence. Patterns of genetic ancestry and admixture for a cohort of 624 individuals from Medellín were compared to disease risk inferred via polygenic risk scores (PRS). African genetic ancestry is most strongly correlated with predicted disease risk, whereas European and Native American ancestry show weaker effects. African ancestry is mostly positively correlated with disease risk, and European ancestry is mostly negatively correlated. The relationships between ethnicity and disease prevalence do not show an overall correspondence with the relationships between ancestry and disease risk. We discuss possible reasons for the divergent health effects of ethnicity and ancestry as well as the implication of our results for the development of precision medicine in Colombia.
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Affiliation(s)
- Aroon T Chande
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Shashwat Deepali Nagar
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Lavanya Rishishwar
- IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Leonardo Mariño-Ramírez
- PanAmerican Bioinformatics Institute, Cali, Colombia.,National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
| | - Miguel A Medina-Rivas
- Centro de Investigación en Biodiversidad y Hábitat, Universidad Tecnológica del Chocó, Quibdó, Colombia
| | - Augusto E Valderrama-Aguirre
- Biomedical Research Institute (COL0082529), Cali, Colombia.,Department of Biomedical Sciences, Universidad Santiago de Cali, Cali, Colombia.,Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
| | - I King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
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Flowers E, Ramírez-Mares JD, Velazquez-Villafaña M, Rangel-Salazar R, Sucher A, Kanaya AM, Aouizerat BE, Lazo de la Vega Monroy ML. Circulating microRNAs associated with prediabetes and geographic location in Latinos. Int J Diabetes Dev Ctries 2021; 41:570-578. [PMID: 35169383 PMCID: PMC8842833 DOI: 10.1007/s13410-020-00917-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 12/23/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Globally, type 2 diabetes is highly prevalent in individuals of Latino ancestry. The reasons underlying this high prevalence are not well understood, but both genetic and lifestyle factors are contributors. Circulating microRNAs are readily detectable in blood and are promising biomarkers to characterize biological responses (i.e., changes in gene expression) to lifestyle factors. Prior studies identified relationships between circulating microRNAs and risk for type 2 diabetes, but Latinos have largely been under-represented in these study samples. AIMS/HYPOTHESIS The aim of this study was to assess for differences in expression levels of three candidate microRNAs (miR-126, miR-146, miR-15) between individuals who had prediabetes compared to normal glycemic status and between individuals who self-identified with Latino ancestry in the United States (US) and native Mexicans living in or near Leon, Mexico. METHODS This was a cross-sectional study that included 45 Mexicans and 21 Latino participants from the US. Prediabetes was defined as fasting glucose 100-125 mg/dL or 2-h post-glucose challenge between 140 and 199 mg/dL. Expression levels of microRNAs from plasma were measured by qPCR. Linear and logistic regression models were used to assess relationships between individual microRNAs and glycemic status or geographic site. RESULTS None of the three microRNAs was associated with risk for type 2 diabetes. MiR-146a and miR-15 were significantly lower in the study sample from Mexico compared to the US. There was a significant interaction between miR-146a and BMI associated with fasting blood glucose. CONCLUSIONS/INTERPRETATION This study did not replicate in Latinos prior observations from other racial groups of associations between miR-126, miR-146a, and miR-15 and risk for type 2 diabetes. Future studies should consider other microRNAs related to different biological pathways as possible biomarkers for type 2 diabetes in Latinos.
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Affiliation(s)
- Elena Flowers
- Department of Physiological Nursing, University of California, San Francisco, 2 Koret Way, #605L, San Francisco, CA 94143-0610, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, USA
| | | | | | - Ruben Rangel-Salazar
- Medical Sciences Department, Health Sciences Division, University of Guanajuato, Guanajuato, Mexico
| | - Anatol Sucher
- University of California, San Francisco, San Francisco, USA
| | - Alka M. Kanaya
- Department of Medicine, University of California, San Francisco, San Francisco, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, USA
| | - Bradley E. Aouizerat
- College of Dentistry, Bluestone Center for Clinical Research, New York University, New York, USA
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Biswas P, Villanueva AL, Soto-Hermida A, Duncan JL, Matsui H, Borooah S, Kurmanov B, Richard G, Khan SY, Branham K, Huang B, Suk J, Bakall B, Goldberg JL, Gabriel L, Khan NW, Raghavendra PB, Zhou J, Devalaraja S, Huynh A, Alapati A, Zawaydeh Q, Weleber RG, Heckenlively JR, Hejtmancik JF, Riazuddin S, Sieving PA, Riazuddin SA, Frazer KA, Ayyagari R. Deciphering the genetic architecture and ethnographic distribution of IRD in three ethnic populations by whole genome sequence analysis. PLoS Genet 2021; 17:e1009848. [PMID: 34662339 PMCID: PMC8589175 DOI: 10.1371/journal.pgen.1009848] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 11/12/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022] Open
Abstract
Patients with inherited retinal dystrophies (IRDs) were recruited from two understudied populations: Mexico and Pakistan as well as a third well-studied population of European Americans to define the genetic architecture of IRD by performing whole-genome sequencing (WGS). Whole-genome analysis was performed on 409 individuals from 108 unrelated pedigrees with IRDs. All patients underwent an ophthalmic evaluation to establish the retinal phenotype. Although the 108 pedigrees in this study had previously been examined for mutations in known IRD genes using a wide range of methodologies including targeted gene(s) or mutation(s) screening, linkage analysis and exome sequencing, the gene mutations responsible for IRD in these 108 pedigrees were not determined. WGS was performed on these pedigrees using Illumina X10 at a minimum of 30X depth. The sequence reads were mapped against hg19 followed by variant calling using GATK. The genome variants were annotated using SnpEff, PolyPhen2, and CADD score; the structural variants (SVs) were called using GenomeSTRiP and LUMPY. We identified potential causative sequence alterations in 61 pedigrees (57%), including 39 novel and 54 reported variants in IRD genes. For 57 of these pedigrees the observed genotype was consistent with the initial clinical diagnosis, the remaining 4 had the clinical diagnosis reclassified based on our findings. In seven pedigrees (12%) we observed atypical causal variants, i.e. unexpected genotype(s), including 4 pedigrees with causal variants in more than one IRD gene within all affected family members, one pedigree with intrafamilial genetic heterogeneity (different affected family members carrying causal variants in different IRD genes), one pedigree carrying a dominant causative variant present in pseudo-recessive form due to consanguinity and one pedigree with a de-novo variant in the affected family member. Combined atypical and large structural variants contributed to about 20% of cases. Among the novel mutations, 75% were detected in Mexican and 50% found in European American pedigrees and have not been reported in any other population while only 20% were detected in Pakistani pedigrees and were not previously reported. The remaining novel IRD causative variants were listed in gnomAD but were found to be very rare and population specific. Mutations in known IRD associated genes contributed to pathology in 63% Mexican, 60% Pakistani and 45% European American pedigrees analyzed. Overall, contribution of known IRD gene variants to disease pathology in these three populations was similar to that observed in other populations worldwide. This study revealed a spectrum of mutations contributing to IRD in three populations, identified a large proportion of novel potentially causative variants that are specific to the corresponding population or not reported in gnomAD and shed light on the genetic architecture of IRD in these diverse global populations.
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Affiliation(s)
- Pooja Biswas
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
- School of Biotechnology, REVA University, Bengaluru, Karnataka, India
| | - Adda L. Villanueva
- Retina and Genomics Institute, Yucatán, México
- Laboratoire de Diagnostic Moleculaire, Hôpital Maisonneuve Rosemont, Montreal, Quebec, Canada
| | - Angel Soto-Hermida
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Jacque L. Duncan
- Ophthalmology, University of California San Francisco, San Francisco, California, United States of America
| | - Hiroko Matsui
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, United States of America
| | - Shyamanga Borooah
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Berzhan Kurmanov
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | | | - Shahid Y. Khan
- The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Kari Branham
- Ophthalmology & Visual Science, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan, United States of America
| | - Bonnie Huang
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - John Suk
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Benjamin Bakall
- Ophthalmology, University of Arizona College of Medicine Phoenix, Phoenix, Arizona, United States of America
| | - Jeffrey L. Goldberg
- Byers Eye Institute, Stanford, Palo Alto, California, United States of America
| | - Luis Gabriel
- Genetics and Ophthalmology, Genelabor, Goiânia, Brazil
| | - Naheed W. Khan
- Ophthalmology & Visual Science, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan, United States of America
| | - Pongali B. Raghavendra
- School of Biotechnology, REVA University, Bengaluru, Karnataka, India
- School of Regenerative Medicine, Manipal University, Bengaluru, Karnataka, India
| | - Jason Zhou
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Sindhu Devalaraja
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Andrew Huynh
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Akhila Alapati
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Qais Zawaydeh
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
| | - Richard G. Weleber
- Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States of America
| | - John R. Heckenlively
- Ophthalmology & Visual Science, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan, United States of America
| | - J. Fielding Hejtmancik
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sheikh Riazuddin
- National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan
- Allama Iqbal Medical College, University of Health Sciences, Lahore, Pakistan
| | - Paul A. Sieving
- National Eye Institute, Bethesda, Maryland, United States of America
- Ophthalmology & Vision Science, UC Davis Medical Center, California, United States of America
| | - S. Amer Riazuddin
- The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Kelly A. Frazer
- Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, United States of America
- Department of Pediatrics, Rady Children’s Hospital, Division of Genome Information Sciences, San Diego, California, United States of America
| | - Radha Ayyagari
- Shiley Eye Institute, University of California San Diego, La Jolla, California, United States of America
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Bodner M, Perego UA, Gomez JE, Cerda-Flores RM, Rambaldi Migliore N, Woodward SR, Parson W, Achilli A. The Mitochondrial DNA Landscape of Modern Mexico. Genes (Basel) 2021; 12:genes12091453. [PMID: 34573435 PMCID: PMC8467843 DOI: 10.3390/genes12091453] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 12/16/2022] Open
Abstract
Mexico is a rich source for anthropological and population genetic studies with high diversity in ethnic and linguistic groups. The country witnessed the rise and fall of major civilizations, including the Maya and Aztec, but resulting from European colonization, the population landscape has dramatically changed. Today, the majority of Mexicans do not identify themselves as Indigenous but as admixed, and appear to have very little in common with their pre-Columbian predecessors. However, when the maternally inherited mitochondrial (mt)DNA is investigated in the modern Mexican population, this is not the case. Control region sequences of 2021 samples deriving from all over the country revealed an overwhelming Indigenous American legacy, with almost 90% of mtDNAs belonging to the four major pan-American haplogroups A2, B2, C1, and D1. This finding supports a very low European contribution to the Mexican gene pool by female colonizers and confirms the effectiveness of employing uniparental markers as a tool to reconstruct a country’s history. In addition, the distinct frequency and dispersal patterns of Indigenous American and West Eurasian clades highlight the benefit such large and country-wide databases provide for studying the impact of colonialism from a female perspective and population stratification. The importance of geographical database subsets not only for forensic application is clearly demonstrated.
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Affiliation(s)
- Martin Bodner
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria;
| | - Ugo A. Perego
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (U.A.P.); (N.R.M.)
- Sorenson Molecular Genealogy Foundation, Salt Lake City, UT 84115, USA; (J.E.G.); (S.R.W.)
- Department of Math and Science, Southeastern Community College, Burlington, IA 52655, USA
| | - J. Edgar Gomez
- Sorenson Molecular Genealogy Foundation, Salt Lake City, UT 84115, USA; (J.E.G.); (S.R.W.)
- FamilySearch Int., Salt Lake City, UT 84150, USA
| | | | - Nicola Rambaldi Migliore
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (U.A.P.); (N.R.M.)
| | - Scott R. Woodward
- Sorenson Molecular Genealogy Foundation, Salt Lake City, UT 84115, USA; (J.E.G.); (S.R.W.)
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria;
- Forensic Science Program, Penn State University, University Park, State College, PA 16802, USA
- Correspondence: (W.P.); (A.A.)
| | - Alessandro Achilli
- Dipartimento di Biologia e Biotecnologie “L. Spallanzani”, Università di Pavia, 27100 Pavia, Italy; (U.A.P.); (N.R.M.)
- Correspondence: (W.P.); (A.A.)
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Participation in genetic research among Latinx populations by Latin America birth-residency concordance: a global study. J Community Genet 2021; 12:603-615. [PMID: 34378176 DOI: 10.1007/s12687-021-00538-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/30/2021] [Indexed: 10/20/2022] Open
Abstract
Latinx populations are underrepresented in DNA-based research, and risk not benefiting from research if underrepresentation continues. Latinx populations are heterogenous; reflect complex social, migration, and colonial histories; and form strong global diasporas. We conducted a global study using a survey tool (Amazon's Mechanical Turk portal) to ascertain willingness to participate in genetic research by Latin America birth-residency concordance. Participants in the global study identified as Latinx (n=250) were classified as the following: (1) born/live outside of Latin America and the Caribbean (LAC), (2) born within/live outside LAC, and (3) born/live within LAC. Latinx were similarly likely to indicated they would participate DNA-based research as their non-Latinx counterparts (52.8% vs. 56.2%, respectively). Latinx born and living in LAC were significantly more willing to participate in DNA-based research than Latinx born and living outside of LAC (OR: 2.5; 95% CI: 1.3, 4.9, p<.01). Latinx indicating they would participate in genetic research were more likely to trust researchers (<.05), believe genetic research could lead to better understanding of disease (<.05), and that genetic research could lead to new treatments (p<.05) when compared with Latinx not interested in participating in genetic research. In summary, significant variation exists in genetic research interest among Latinx based on where they were born and live, suggesting that this context itself independently influences decisions about participation. Cultivating and investing in a research ecosystem that addresses, values, and respects Latinx priorities, circumstances, and researchers would likely increase research participation and, even more importantly, potentially impact the inequitable health disparities disproportionately represented in Latinx communities.
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Analysis of HLA gene polymorphisms in East Africans reveals evidence of gene flow in two Semitic populations from Sudan. Eur J Hum Genet 2021; 29:1259-1271. [PMID: 33753913 PMCID: PMC8384866 DOI: 10.1038/s41431-021-00845-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 11/28/2020] [Accepted: 02/25/2021] [Indexed: 02/02/2023] Open
Abstract
Sudan, a northeastern African country, is characterized by high levels of cultural, linguistic, and genetic diversity, which is believed to be affected by continuous migration from neighboring countries. Consistent with such demographic effect, genome-wide SNP data revealed a shared ancestral component among Sudanese Afro-Asiatic speaking groups and non-African populations, mainly from West Asia. Although this component is shared among all Afro-Asiatic speaking groups, the extent of this sharing in Semitic groups, such as Sudanese Arab, is still unknown. Using genotypes of six polymorphic human leukocyte antigen (HLA) genes (i.e., HLA-A, -C, -B, -DRB1, -DQB1, and -DPB1), we examined the genetic structure of eight East African ethnic groups with origins in Sudan, South Sudan, and Ethiopia. We identified informative HLA alleles using principal component analysis, which revealed that the two Semitic groups (Gaalien and Shokrya) constituted a distinct cluster from the other Afro-Asiatic speaking groups in this study. The HLA alleles that distinguished Semitic Arabs co-exist in the same extended HLA haplotype, and those alleles are in strong linkage disequilibrium. Interestingly, we find the four-locus haplotype "C*12:02-B*52:01-DRB1*15:02-DQB1*06:01" exclusively in non-African populations and it is widely spread across Asia. The identification of this haplotype suggests a gene flow from Asia, and likely these haplotypes were brought to Africa through back migration from the Near East. These findings will be of interest to biomedical and anthropological studies that examine the demographic history of northeast Africa.
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Devia C, Flórez KR, Costa SA, Huang TT. Prevalence of self-reported obesity among diverse Latino adult populations in New York City, 2013-2017. Obes Sci Pract 2021; 7:379-391. [PMID: 34401197 PMCID: PMC8346377 DOI: 10.1002/osp4.490] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/02/2021] [Accepted: 01/24/2021] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Latinos in the United States represent a heterogeneous population disproportionally impacted by obesity. Yet, the prevalence of obesity by specific Latino group is unclear. Using the New York City Community Health Survey (2013-2017), this study compared self-reported obesity in the city's largest Latino adult populations (Puerto Ricans, Mexicans, Dominicans, Ecuadorians, and Colombians). METHODS Age-standardized prevalence using the 2000 Census and prevalence ratios (PRs) for self-reported obesity (BMI ≥30 kg/m2) by country of origin were estimated using weighted multivariable logistic regression adjusting for socio-demographic characteristics, health status, and behaviors. RESULTS Obesity prevalence among Mexicans (36.8%; 95% CI [31.5, 42.4]) and Puerto Ricans (36.3%; 95% CI [31.7, 41.3]) was significantly higher than that among Colombians (23.8%; 95% CI [18.8, 29.5]), Ecuadorians (24.2%; 95% CI [20.7, 28.1]), and Dominicans (27.0%; 95% CI [25.0, 29.1]). After adjusting for covariates, compared to Mexicans, the PRs of obesity remained significantly lower for Colombians (PR = 0.80; 95% CI [0.64, 1.00]), Ecuadorians (PR = 0.72; 95% CI [0.61, 0.86]) and Dominicans (PR = 0.75; 95% CI [0.65, 0.85]). There was no significant difference between Mexicans and Puerto Ricans. CONCLUSION Obesity prevalence differs by country of origin, suggesting that clustering of Latinos in public health research may obscure unique risks among specific groups. Despite group differences, all Latino groups exhibit high prevalence of obesity and warrant renewed efforts tailored to the specific context and culture of each group to prevent and reduce obesity.
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Affiliation(s)
- Carlos Devia
- Center for Systems and Community DesignGraduate School of Public Health and Health PolicyCity University of New YorkNew YorkNew YorkUSA
- New York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Karen R. Flórez
- Center for Systems and Community DesignGraduate School of Public Health and Health PolicyCity University of New YorkNew YorkNew YorkUSA
| | - Sergio A. Costa
- Center for Systems and Community DesignGraduate School of Public Health and Health PolicyCity University of New YorkNew YorkNew YorkUSA
| | - Terry T.‐K. Huang
- Center for Systems and Community DesignGraduate School of Public Health and Health PolicyCity University of New YorkNew YorkNew YorkUSA
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