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Zollner L, Boekstegers F, Barahona Ponce C, Scherer D, Marcelain K, Gárate-Calderón V, Waldenberger M, Morales E, Rojas A, Munoz C, Retamales J, De Toro G, Kortmann AV, Barajas O, Rivera MT, Cortés A, Loader D, Saavedra J, Gutiérrez L, Ortega A, Bertrán ME, Bartolotti L, Gabler F, Campos M, Alvarado J, Moisán F, Spencer L, Nervi B, Carvajal D, Losada H, Almau M, Fernández P, Olloquequi J, Carter AR, Miquel Poblete JF, Bustos BI, Fuentes Guajardo M, Gonzalez-Jose R, Bortolini MC, Acuña-Alonzo V, Gallo C, Ruiz Linares A, Rothhammer F, Lorenzo Bermejo J. Gallbladder Cancer Risk and Indigenous South American Mapuche Ancestry: Instrumental Variable Analysis Using Ancestry-Informative Markers. Cancers (Basel) 2023; 15:4033. [PMID: 37627062 PMCID: PMC10452561 DOI: 10.3390/cancers15164033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/28/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023] Open
Abstract
A strong association between the proportion of indigenous South American Mapuche ancestry and the risk of gallbladder cancer (GBC) has been reported in observational studies. Chileans show the highest incidence of GBC worldwide, and the Mapuche are the largest indigenous people in Chile. We set out to assess the confounding-free effect of the individual proportion of Mapuche ancestry on GBC risk and to investigate the mediating effects of gallstone disease and body mass index (BMI) on this association. Genetic markers of Mapuche ancestry were selected based on the informativeness for assignment measure, and then used as instrumental variables in two-sample Mendelian randomization analyses and complementary sensitivity analyses. Results suggested a putatively causal effect of Mapuche ancestry on GBC risk (inverse variance-weighted (IVW) risk increase of 0.8% per 1% increase in Mapuche ancestry proportion, 95% CI 0.4% to 1.2%, p = 6.7 × 10-5) and also on gallstone disease (3.6% IVW risk increase, 95% CI 3.1% to 4.0%), pointing to a mediating effect of gallstones on the association between Mapuche ancestry and GBC. In contrast, the proportion of Mapuche ancestry showed a negative effect on BMI (IVW estimate -0.006 kg/m2, 95% CI -0.009 to -0.003). The results presented here may have significant implications for GBC prevention and are important for future admixture mapping studies. Given that the association between the individual proportion of Mapuche ancestry and GBC risk previously noted in observational studies appears to be free of confounding, primary and secondary prevention strategies that consider genetic ancestry could be particularly efficient.
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Affiliation(s)
- Linda Zollner
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
- Division of Proteomics of Stem Cells and Cancer, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Felix Boekstegers
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
| | - Carol Barahona Ponce
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
| | - Dominique Scherer
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
| | - Katherine Marcelain
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.)
| | - Valentina Gárate-Calderón
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.)
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Erik Morales
- Hospital Regional de Talca, Talca 3460000, Chile; (E.M.); (C.M.)
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | - Armando Rojas
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | - César Munoz
- Hospital Regional de Talca, Talca 3460000, Chile; (E.M.); (C.M.)
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | | | - Gonzalo De Toro
- Hospital de Puerto Montt, Puerto Montt 5480000, Chile; (G.D.T.); (A.V.K.)
- Escuela de Tecnología Médica, Universidad Austral de Chile sede Puerto Montt, Puerto Montt 5480000, Chile
| | | | - Olga Barajas
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.)
- Hospital Clínico Universidad de Chile, Santiago 8380456, Chile
| | | | - Analía Cortés
- Hospital del Salvador, Santiago 7500922, Chile; (M.T.R.); (A.C.)
| | - Denisse Loader
- Hospital Padre Hurtado, Santiago 8880456, Chile; (D.L.); (J.S.)
| | | | | | | | | | | | - Fernando Gabler
- Hospital San Borja Arriarán, Santiago 8320000, Chile; (F.G.); (M.C.)
| | - Mónica Campos
- Hospital San Borja Arriarán, Santiago 8320000, Chile; (F.G.); (M.C.)
| | - Juan Alvarado
- Hospital Regional Guillermo Grant Benavente, Concepción 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Fabricio Moisán
- Hospital Regional Guillermo Grant Benavente, Concepción 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Loreto Spencer
- Hospital Regional Guillermo Grant Benavente, Concepción 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Bruno Nervi
- Departamento de Hematología y Oncología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago 8330077, Chile;
| | - Daniel Carvajal
- Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7650568, Chile;
| | - Héctor Losada
- Departamento de Cirugía, Universidad de la Frontera, Temuco 4780000, Chile;
| | - Mauricio Almau
- Hospital de Rancagua, Rancagua 2820000, Chile; (M.A.); (P.F.)
| | | | - Jordi Olloquequi
- Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain;
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Alice R. Carter
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK;
| | - Juan Francisco Miquel Poblete
- Departamento de Gastroenterología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile;
| | - Bernabe Ignacio Bustos
- Ken and Ruth Davee Department of Neurology and Simpson Querrey Center for Neurogenetics, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA;
| | - Macarena Fuentes Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Tarapacá University, Arica 1000815, Chile;
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9120ACD, Argentina;
| | - Maria Cátira Bortolini
- Instituto de Biociências, Universidad Federal do Rio Grande do Sul, Puerto Alegre 15053, Brazil;
| | | | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru;
| | - Andres Ruiz Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200434, China;
- ADES (Anthropologie Bio-Culturelle, Droit, Éthique et Santé), UFR de Médecine, Aix-Marseille University, 13007 Marseille, France
- Department of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | | | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (L.Z.); (F.B.); (C.B.P.); (D.S.); (V.G.-C.)
- Department of Biostatistics for Precision Oncology, Institut de Cancérologie Strasbourg Europe, 67200 Strasbourg, France
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Boekstegers F, Scherer D, Barahona Ponce C, Marcelain K, Gárate-Calderón V, Waldenberger M, Morales E, Rojas A, Munoz C, Retamales J, de Toro G, Barajas O, Rivera MT, Cortés A, Loader D, Saavedra J, Gutiérrez L, Ortega A, Bertrán ME, Bartolotti L, Gabler F, Campos M, Alvarado J, Moisán F, Spencer L, Nervi B, Carvajal-Hausdorf D, Losada H, Almau M, Fernández P, Olloquequi J, Fuentes-Guajardo M, Gonzalez-Jose R, Bortolini MC, Acuña-Alonzo V, Gallo C, Linares AR, Rothhammer F, Lorenzo Bermejo J. Development and internal validation of a multifactorial risk prediction model for gallbladder cancer in a high-incidence country. Int J Cancer 2023. [PMID: 37260300 DOI: 10.1002/ijc.34607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/04/2023] [Accepted: 05/04/2023] [Indexed: 06/02/2023]
Abstract
Since 2006, Chile has been implementing a gallbladder cancer (GBC) prevention program based on prophylactic cholecystectomy for gallstone patients aged 35 to 49 years. The effectiveness of this prevention program has not yet been comprehensively evaluated. We conducted a retrospective study of 473 Chilean GBC patients and 2137 population-based controls to develop and internally validate three GBC risk prediction models. The Baseline Model accounted for gallstones while adjusting for sex and birth year. Enhanced Model I also included the non-genetic risk factors: body mass index, educational level, Mapuche surnames, number of children and family history of GBC. Enhanced Model II further included Mapuche ancestry and the genotype for rs17209837. Multiple Cox regression was applied to assess the predictive performance, quantified by the area under the precision-recall curve (AUC-PRC) and the number of cholecystectomies needed (NCN) to prevent one case of GBC at age 70 years. The AUC-PRC for the Baseline Model (0.44%, 95%CI 0.42-0.46) increased by 0.22 (95%CI 0.15-0.29) when non-genetic factors were included, and by 0.25 (95%CI 0.20-0.30) when incorporating non-genetic and genetic factors. The overall NCN for Chileans with gallstones (115, 95%CI 104-131) decreased to 92 (95%CI 60-128) for Chileans with a higher risk than the median according to Enhanced Model I, and to 80 (95%CI 59-110) according to Enhanced Model II. In conclusion, age, sex and gallstones are strong risk factors for GBC, but consideration of other non-genetic factors and individual genotype data improves risk prediction and may optimize allocation of financial resources and surgical capacity.
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Affiliation(s)
- Felix Boekstegers
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Dominique Scherer
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Carol Barahona Ponce
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Katherine Marcelain
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago, Chile
| | - Valentina Gárate-Calderón
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago, Chile
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Erik Morales
- Hospital Regional de Talca, Talca, Chile
- Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
| | - Armando Rojas
- Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
| | - César Munoz
- Hospital Regional de Talca, Talca, Chile
- Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
| | | | - Gonzalo de Toro
- Hospital de Puerto Montt, Puerto Montt, Chile
- Escuela de Tecnología Médica, Universidad Austral de Chile sede Puerto Montt, Puerto Montt, Chile
| | - Olga Barajas
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago, Chile
- Hospital Clínico Universidad de Chile, Santiago, Chile
| | | | | | | | | | | | | | | | | | | | | | - Juan Alvarado
- Hospital Regional Guillermo Grant Benavente, Concepción, Chile
| | - Fabricio Moisán
- Hospital Regional Guillermo Grant Benavente, Concepción, Chile
| | - Loreto Spencer
- Hospital Regional Guillermo Grant Benavente, Concepción, Chile
| | - Bruno Nervi
- Departamento de Hematología y Oncología, Escuela de Medicina Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - Héctor Losada
- Departamento de Cirugía, Universidad de La Frontera, Temuco, Chile
| | | | | | - Jordi Olloquequi
- Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Tarapacá University, Arica, Chile
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Maria Cátira Bortolini
- Departamento de Genética, Instituto de Biociências, Universidad Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - 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, China
- Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France
- Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, UK
| | | | - 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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Cazzaniga A, Brousse MM, Linares AR. Kinetics of moisture loss applied to the baking of snacks with pregelatinized cassava starch. J Food Sci 2022; 87:2651-2662. [PMID: 35615760 DOI: 10.1111/1750-3841.16188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 12/01/2022]
Abstract
Moisture loss kinetics is a complex process defined as the liquid removal from a solid by thermal application. The purposes of the study were to obtain kinetic curves of moisture loss during the baking of cassava snacks and establish which processes govern the moisture loss, recognize which mathematical models describe the moisture loss curves more precisely, and determine activation energy (Ea) and effective diffusivity (Deff ). Experimental data were obtained through baking at four temperatures formulations for snacks with different dehydrated cassava puree (DCP) proportions. Page's and Chávez Méndez's models showed the best fits. We calculated Deff and Ea employing the analytical solution of Fick's Second Law for the geometry of plane plates. Deff values increase with DCP but did not show a trend. The range found was from 5.22E-06 to 2.93E-05 m2 /s. The results of Ea showed that the mixture of flours produced an increase in the energy necessary to initiate the effective diffusion (24.84 kJ/mol) compared to the samples without mixing (15.54 kJ/mol). Moisture loss curves show that the diffusion process governs a large part of the process. PRACTICAL APPLICATION: Given the need to increase research for the development of the cassava industry, which currently has low competitiveness compared to less expensive products such as corn, various efforts are being made to generate new products that can replace wheat flour, at least in part. However, it is necessary to research how this substitution affects the various steps of the production system, including baking. During baking, one of the most significant processes is moisture loss. In this sense, the kinetic modeling of the moisture loss process parameters is mainly helpful in the food industry. The mathematical models of moisture loss processes are used to design new or improved baking systems or even control the process.
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Affiliation(s)
- A Cazzaniga
- FCEQyN, UNaM, Posadas, Misiones, Argentina.,CONICET, Argentina
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4
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Blandino A, Scherer D, Rounge TB, Umu SU, Boekstegers F, Barahona Ponce C, Marcelain K, Gárate-Calderón V, Waldenberger M, Morales E, Rojas A, Munoz C, Retamales J, de Toro G, Barajas O, Rivera MT, Cortés A, Loader D, Saavedra J, Gutiérrez L, Ortega A, Bertrán ME, Gabler F, Campos M, Alvarado J, Moisán F, Spencer L, Nervi B, Carvajal-Hausdorf DE, Losada H, Almau M, Fernández P, Gallegos I, Olloquequi J, Fuentes-Guajardo M, Gonzalez-Jose R, Bortolini MC, Gallo C, Linares AR, Rothhammer F, Lorenzo Bermejo J. Identification of Circulating lncRNAs Associated with Gallbladder Cancer Risk by Tissue-Based Preselection, Cis-eQTL Validation, and Analysis of Association with Genotype-Based Expression. Cancers (Basel) 2022; 14:cancers14030634. [PMID: 35158906 PMCID: PMC8833674 DOI: 10.3390/cancers14030634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/18/2022] [Accepted: 01/21/2022] [Indexed: 02/07/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) play key roles in cell processes and are good candidates for cancer risk prediction. Few studies have investigated the association between individual genotypes and lncRNA expression. Here we integrate three separate datasets with information on lncRNA expression only, both lncRNA expression and genotype, and genotype information only to identify circulating lncRNAs associated with the risk of gallbladder cancer (GBC) using robust linear and logistic regression techniques. In the first dataset, we preselect lncRNAs based on expression changes along the sequence "gallstones → dysplasia → GBC". In the second dataset, we validate associations between genetic variants and serum expression levels of the preselected lncRNAs (cis-lncRNA-eQTLs) and build lncRNA expression prediction models. In the third dataset, we predict serum lncRNA expression based on individual genotypes and assess the association between genotype-based expression and GBC risk. AC084082.3 and LINC00662 showed increasing expression levels (p-value = 0.009), while C22orf34 expression decreased in the sequence from gallstones to GBC (p-value = 0.04). We identified and validated two cis-LINC00662-eQTLs (r2 = 0.26) and three cis-C22orf34-eQTLs (r2 = 0.24). Only LINC00662 showed a genotyped-based serum expression associated with GBC risk (OR = 1.25 per log2 expression unit, 95% CI 1.04-1.52, p-value = 0.02). Our results suggest that preselection of lncRNAs based on tissue samples and exploitation of cis-lncRNA-eQTLs may facilitate the identification of circulating noncoding RNAs linked to cancer risk.
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Affiliation(s)
- Alice Blandino
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
| | - Dominique Scherer
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
| | - Trine B. Rounge
- Department of Research, Cancer Registry of Norway, 0379 Oslo, Norway; (T.B.R.); (S.U.U.)
- Department of Informatics, University of Oslo, 0304 Oslo, Norway
| | - Sinan U. Umu
- Department of Research, Cancer Registry of Norway, 0379 Oslo, Norway; (T.B.R.); (S.U.U.)
| | - Felix Boekstegers
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
| | - Carol Barahona Ponce
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
| | - Katherine Marcelain
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.); (I.G.)
| | - Valentina Gárate-Calderón
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.); (I.G.)
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology and Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany;
| | - Erik Morales
- Hospital Regional de Talca, Talca 3460000, Chile; (E.M.); (C.M.)
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | - Armando Rojas
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | - César Munoz
- Hospital Regional de Talca, Talca 3460000, Chile; (E.M.); (C.M.)
- Facultad de Medicina, Universidad Católica del Maule, Talca 3460000, Chile;
| | | | - Gonzalo de Toro
- Hospital de Puerto Montt, Puerto Montt 5480000, Chile;
- Escuela de Tecnología Médica, Universidad Austral de Chile sede Puerto Montt, Puerto Montt 5480000, Chile
| | - Olga Barajas
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.); (I.G.)
- Hospital Clínico Universidad de Chile, Santiago 8380456, Chile
| | | | - Analía Cortés
- Hospital del Salvador, Santiago 7500922, Chile; (M.T.R.); (A.C.)
| | - Denisse Loader
- Hospital Padre Hurtado, Santiago 8880456, Chile; (D.L.); (J.S.)
| | | | | | | | | | - Fernando Gabler
- Hospital San Borja Arriarán, Santiago 8320000, Chile; (F.G.); (M.C.)
| | - Mónica Campos
- Hospital San Borja Arriarán, Santiago 8320000, Chile; (F.G.); (M.C.)
| | - Juan Alvarado
- Hospital Regional Guillermo Grant Benavente, Concepcion 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Fabrizio Moisán
- Hospital Regional Guillermo Grant Benavente, Concepcion 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Loreto Spencer
- Hospital Regional Guillermo Grant Benavente, Concepcion 4070386, Chile; (J.A.); (F.M.); (L.S.)
| | - Bruno Nervi
- Departamento de Hematología y Oncología, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago 8330077, Chile; or
| | | | | | - Mauricio Almau
- Hospital de Rancagua, Rancagua 2820000, Chile; (M.A.); (P.F.)
| | | | - Ivan Gallegos
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Santiago 8380000, Chile; (K.M.); (O.B.); (I.G.)
- Hospital Clínico Universidad de Chile, Santiago 8380456, Chile
| | - Jordi Olloquequi
- Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain;
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Tarapacá University, Arica 1000815, Chile;
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn U9120ACD, Argentina;
| | - Maria Cátira Bortolini
- Instituto de Biociências, Universidad Federal do Rio Grande do Sul, Puerto Alegre 15053, Brazil;
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Peru;
| | - Andres Ruiz Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200434, China;
- ADES (Anthropologie Bio-Culturelle, Droit, Éthique et Santé), UFR de Médecine, Aix-Marseille University, 13007 Marseille, France
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | | | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, 69120 Heidelberg, Germany; (A.B.); (D.S.); (F.B.); (C.B.P.); (V.G.-C.)
- Correspondence: ; Tel.: +49-062-2156-4180
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5
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Koenigstein F, Boekstegers F, Wilson JF, Fuentes-Guajardo M, Gonzalez-Jose R, Bedoya G, Bortolini MC, Acuña-Alonzo V, Gallo C, Linares AR, Rothhammer F, Bermejo JL. Inbreeding, native American ancestry and child mortality: Linking human selection and paediatric medicine. Hum Mol Genet 2021; 31:975-984. [PMID: 34673976 PMCID: PMC8947305 DOI: 10.1093/hmg/ddab302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/07/2021] [Accepted: 10/13/2021] [Indexed: 11/13/2022] Open
Abstract
The children of related parents show increased risk of early mortality. The Native American genome typically exhibits long stretches of homozygosity, and Latin Americans are highly heterogeneous regarding the individual burden of homozygosity, the proportion, and the type of Native American ancestry. We analysed nationwide mortality and genome-wide genotype data from admixed Chileans to investigate the relationship between common causes of child mortality, homozygosity and Native American ancestry. Results from two-stage linear-Poisson regression revealed a strong association between the sum length of runs of homozygosity (SROH) above 1.5 Megabases (Mb) in each genome and mortality due to intracranial non-traumatic haemorrhage of foetus and new-born (5% increased risk of death per Mb in SROH, P = 1 × 10-3) and disorders related to short gestation and low birth weight (P = 3 × 10-4). The major indigenous populations in Chile are Aymara-Quechua in the north of the country, and the Mapuche-Huilliche in the south. The individual proportion of Aymara-Quechua ancestry was associated with an increased risk of death due to anencephaly and similar malformations (P = 4 × 10-5), and the risk of death due to Edwards and Patau trisomy syndromes decreased 4% per 1% Aymara-Quechua ancestry proportion (P = 4 × 10-4) and 5% per 1% Mapuche-Huilliche ancestry proportion (P = 2 × 10-3). The present results suggest that short gestation, low birth weight and intracranial non-traumatic haemorrhage mediate the negative effect of inbreeding on human selection. Independent validation of the identified associations between common causes of child death, homozygosity and fine-scale ancestry proportions may inform paediatric medicine.
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Affiliation(s)
- Fabienne Koenigstein
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Felix Boekstegers
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland.,MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Tarapacá University, Arica, Chile
| | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Gabriel Bedoya
- Instituto de Biología, Grupo Genmol, Universidad de Antioquía, Medellín, Colombia
| | - Maria Cátira Bortolini
- Instituto de Biociências, Universidad Federal do Rio Grande do Sul, Puerto Alegre, Brazil
| | | | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - 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, China.,Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France.,Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, UK
| | | | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
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Boekstegers F, Marcelain K, Barahona Ponce C, Baez Benavides PF, Müller B, de Toro G, Retamales J, Barajas O, Ahumada M, Morales E, Rojas A, Sanhueza V, Loader D, Rivera MT, Gutiérrez L, Bernal G, Ortega A, Montalvo D, Portiño S, Bertrán ME, Gabler F, Spencer L, Olloquequi J, González Silos R, Fischer C, Scherer D, Jenab M, Aleksandrova K, Katzke V, Weiderpass E, Moradi T, Fischer K, Bossers W, Brenner H, Hveem K, Eklund N, Völker U, Waldenberger M, Fuentes Guajardo M, Gonzalez-Jose R, Bedoya G, Bortolini MC, Canizales S, Gallo C, Ruiz Linares A, Rothhammer F, Lorenzo Bermejo J. ABCB1/4 gallbladder cancer risk variants identified in India also show strong effects in Chileans. Cancer Epidemiol 2020; 65:101643. [PMID: 32058310 DOI: 10.1016/j.canep.2019.101643] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/08/2019] [Accepted: 11/15/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND The first large-scale genome-wide association study of gallbladder cancer (GBC) recently identified and validated three susceptibility variants in the ABCB1 and ABCB4 genes for individuals of Indian descent. We investigated whether these variants were also associated with GBC risk in Chileans, who show the highest incidence of GBC worldwide, and in Europeans with a low GBC incidence. METHODS This population-based study analysed genotype data from retrospective Chilean case-control (255 cases, 2042 controls) and prospective European cohort (108 cases, 181 controls) samples consistently with the original publication. RESULTS Our results confirmed the reported associations for Chileans with similar risk effects. Particularly strong associations (per-allele odds ratios close to 2) were observed for Chileans with high Native American (=Mapuche) ancestry. No associations were noticed for Europeans, but the statistical power was low. CONCLUSION Taking full advantage of genetic and ethnic differences in GBC risk may improve the efficiency of current prevention programs.
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Affiliation(s)
- Felix Boekstegers
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
| | - Katherine Marcelain
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Chile
| | - Carol Barahona Ponce
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Germany; Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Chile
| | | | - Bettina Müller
- Servicio de Oncología Médica, Instituto Nacional del Cáncer, Santiago, Chile
| | - Gonzalo de Toro
- Servicio de Anatomía Patológica, Hospital de Puerto Montt, Puerto Montt, Chile
| | - Javier Retamales
- Servicio de Oncología Médica, Instituto Nacional del Cáncer, Santiago, Chile
| | - Olga Barajas
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Chile; Oncology, Hospital Clínico Universidad de Chile, Santiago, Chile
| | - Monica Ahumada
- Department of Basic and Clinical Oncology, Medical Faculty, University of Chile, Chile; Oncology, Hospital Clínico Universidad de Chile, Santiago, Chile
| | - Erik Morales
- Servicio de Anatomía Patológica, Hospital Regional, Talca, Chile
| | - Armando Rojas
- Biomedical Research Labs, Medicine Faculty, Catholic University of Maule, Talca, Chile
| | - Verónica Sanhueza
- Servicio de Anatomía Patológica, Hospital Padre Hurtado, Santiago, Chile
| | - Denisse Loader
- Servicio de Anatomía Patológica, Hospital Padre Hurtado, Santiago, Chile
| | | | - Lorena Gutiérrez
- Servicio de Anatomía Patológica, Hospital San Juan de Dios, Santiago, Chile
| | - Giuliano Bernal
- Laboratory of Molecular and Cellular Biology of Cancer (CancerLab), Department of Biomedical Sciences, Faculty of Medicine, Universidad Católica del Norte, Coquimbo, Chile
| | - Alejandro Ortega
- Servicio de Anatomía Patológica, Hospital Regional, Arica, Chile
| | | | - Sergio Portiño
- Oncology, Hospital Clínico Universidad de Chile, Santiago, Chile
| | | | - Fernando Gabler
- Servicio de Anatomía Patológica, Hospital San Borja Arriarán, Santiago, Chile
| | - Loreto Spencer
- Servicio de Anatomía Patológica, Hospital Regional Guillermo Grant Benavente, Concepción, Chile
| | - Jordi Olloquequi
- Laboratory of Cellular and Molecular Pathology, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
| | - Rosa González Silos
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
| | | | - Dominique Scherer
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; University of Potsdam, Institute of Nutritional Science, Potsdam, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France
| | - Tahereh Moradi
- Division of Epidemiology, Department of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Krista Fischer
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Kristian Hveem
- The Nord-Trøndelag Health (HUNT) Research Centre, Norwegian University of Science and Technology (NTNU), Trondheim, K.G. Jebsen Centre for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Norway
| | - Niina Eklund
- Genomics and biobank, National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Uwe Völker
- Interfakultäres Institut für Genetik und Funktionelle Genomforschung, Universitätsmedizin Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Rolando Gonzalez-Jose
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Gabriel Bedoya
- Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia, Medellín, Colombia
| | - Maria C Bortolini
- Instituto de Biociências, Universidad Federal do Rio Grande do Sul, Puerto Alegre, Brazil
| | - Samuel Canizales
- Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Carla Gallo
- Unidad de Neurobiología Molecular y Genética, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - 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 200433, China; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille 13007, France
| | | | - Justo Lorenzo Bermejo
- Statistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Germany.
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Martín-Reyes M, Mendoza R, Domínguez M, Caballero A, Bravo TM, Díaz T, Gerra S, Ibáñez A, Linares AR. Depressive symptoms evaluated by the Calgary Depression Scale for Schizophrenia (CDSS): genetic vulnerability and sex effects. Psychiatry Res 2011; 189:55-61. [PMID: 21196052 DOI: 10.1016/j.psychres.2010.11.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2010] [Revised: 11/09/2010] [Accepted: 11/11/2010] [Indexed: 11/18/2022]
Abstract
The present study compares the occurrence of depressive symptoms evaluated by the Calgary Depression Scale for Schizophrenia (CDSS) in patients of Multiplex (MS) and Simplex Schizophrenia families (SS). The Positive and Negative Syndrome Scale (PANSS) was used to evaluate psychopathology. A total of 206 paranoid schizophrenia patients were studied according DSM-IV criteria. The Family Interview for Genetic Studies (FIGS) was used to study the families. A result in the FIGS for a positive family history of schizophrenia was referred as MS (patients); its lack as SS (patients). CDSS scores were compared among MS and SS patients and possible sex differences intra- and inter-groups were explored. In the analysis of our sample (30) 19% of the total persons with schizophrenia group was depressed. The depressive symptoms measured by the CDSS were higher in females and the MS males group. Males from MS group showed more depressive symptoms than males from SS group. No differences with females from both groups were found. Findings in this study underscore the importance of gender and family history in understanding the heterogeneity of schizophrenia. This study suggests that sex and familiar history are important to consider in studying depressive symptoms.
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Goldstein DB, Zhivotovsky LA, Nayar K, Linares AR, Cavalli-Sforza LL, Feldman MW. Statistical properties of the variation at linked microsatellite loci: implications for the history of human Y chromosomes. Mol Biol Evol 1996; 13:1213-8. [PMID: 8896373 DOI: 10.1093/oxfordjournals.molbev.a025686] [Citation(s) in RCA: 53] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
It has recently been suggested that observed levels of variation at microsatellite loci can be used to infer patterns of selection in genomes and to assess demographic history. In order to evaluate the feasibility of these suggestions it is necessary to know something about how levels of variation at microsatellite loci are expected to fluctuate due simply to stochasticity in the processes of mutation and inheritance (genetic sampling). Here we use recently derived properties of the stepwise mutation model to place confidence intervals around the variance in repeat score that is expected at mutation-drift equilibrium and outline a statistical test for whether an observed value differs significantly from expectation. We also develop confidence intervals for the time course of the buildup of variation following a complete elimination of variation, such as might be caused by a selective sweep or an extreme population bottleneck. We apply these methods to the variation observed at human Y-specific microsatellites. Although a number of authors have suggested the possibility of a very recent sweep, our analyses suggest that a sweep or extreme bottleneck is unlikely to have occurred anytime during the last approximately 74,000 years. To generate this result we use a recently estimated mutation rate for microsatellite loci of 5.6 x 10(-4) along with the variation observed at autosomal microsatellite loci to estimate the human effective population size. This estimate is 18,000, implying an effective number of 4,500 Y chromosomes. One important general conclusion to emerge from this study is that in order to reject mutation-drift equilibrium at a set of linked microsatellite loci it is necessary to have an unreasonably large number of loci unless the observed variance is far below that expected at mutation-drift equilibrium.
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Affiliation(s)
- D B Goldstein
- Department of Biology, Pennsylvania State University, USA.
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Linares AR, Bowen T, Dover GA. Aspects of nonrandom turnover involved in the concerted evolution of intergenic spacers within the ribosomal DNA of Drosophila melanogaster. J Mol Evol 1994; 39:151-9. [PMID: 7932779 DOI: 10.1007/bf00163804] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Polymerase chain reaction (PCR)-amplified, sequenced, and digitally typed intergenic spacers (IGSs) of the ribosomal (r)DNA in D. melanogaster reveal unexpected features of the mechanisms of turnover involved with the concerted evolution of the gene family. Characterization of the structure of three isolated IGS length variants reveals breakage "hot spots" within the 330-base-pair (bp) subrepeat array found in the spacers. Internal mapping of variant repeats within the 240-bp subrepeat array using a novel digital DNA typing procedure (minisatellite variant repeat [MVR]-PCR) shows an unexpected pattern of clustering of variant repeats. Each 240-bp subrepeat array consists of essentially two halves with the repeats in each half identified by specific mutations. This bipartite structure, observed in a cloned IGS unit, in the majority of genomic DNA of laboratory and wild flies and in PCR-amplified products, has been widely homogenized yet is not predicted by a model of unequal crossing over with randomly placed recombination breakpoints. Furthermore, wild populations contain large numbers of length variants in contrast to uniformly shared length variants in laboratory stocks. High numbers of length variants coupled to the observation of a homogenized bipartite structure of the 240-bp subrepeat array suggest that the unit of turnover and homogenization is smaller than the IGS and might involve gene conversion. The use of PCR for the structural analysis of members of the rDNA gene family coupled to digital DNA typing provides powerful new inroads into the mechanisms of DNA turnover affecting the course of molecular evolution in this family.
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Affiliation(s)
- A R Linares
- Department of Genetics, University of Leicester, UK
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Affiliation(s)
- G A Dover
- Department of Genetics, University of Leicester, United Kingdom
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