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Tanaka C, Tremblay MS, Tanaka S. Gender differences in the proportion of Japanese parents meeting 24-h movement guidelines and associations with weight status. Am J Hum Biol 2024; 36:e24142. [PMID: 39138620 DOI: 10.1002/ajhb.24142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 07/12/2024] [Accepted: 07/12/2024] [Indexed: 08/15/2024] Open
Abstract
OBJECTIVES Parents' healthy behaviors are important for both their health and role models for their children. The purpose of this study was to evaluate adherence to the three recommendations associated with health in the Canadian 24-h movement or Japanese physical activity (PA) guidelines and their relationship with weight status (underweight or obesity) in Japanese parents. METHODS This cross-sectional study included 425 mothers and 237 fathers. Meeting the 24-h movement guidelines was defined as: ≥150 min/week of moderate-to-vigorous PA (MVPA) (Canada) or at least 60 min/day of MVPA (Japan), ≤8 h/day of sedentary time which includes ≤3 h of recreational screen time, and 7 to 9 h/night of sleep. MVPA and sedentary time were accelerometer-determined while screen time and sleep duration were self-reported. RESULTS The prevalence of mothers meeting all three recommendations was 30.6% using Canadian PA guidelines and 20.7% using Japanese PA guidelines, while that of fathers was 10.6% and 8.0%, respectively. Mothers not meeting the sedentary behavior recommendation had a lower odds ratio and those not meeting Japanese PA recommendations had a higher odds ratio for underweight compared to mothers meeting the recommendations, adjusted for age and area socioeconomic status. CONCLUSIONS The screen time recommendation and Japanese PA recommendation were associated with underweight in mothers. None of the recommendations was associated with weight status in fathers. Further research is needed to understand the relationships among movement behaviors and weight status, particularly among Japanese women, whose routine behaviors, such as household activities, may be misclassified by a questionnaire.
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Affiliation(s)
- Chiaki Tanaka
- Department of Human Nutrition, Tokyo Kasei Gakuin University, Chiyoda-ku, Tokyo, Japan
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Kagawa Education Institute of Nutrition, Sakado, Saitama, Japan
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
| | - Shigeho Tanaka
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
- Kagawa Education Institute of Nutrition, Sakado, Saitama, Japan
- Faculty of Nutrition, Kagawa Nutrition University, Sakado, Saitama, Japan
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Yracheta J, Morriseau T, Dale K, Gerth A, McGavock J. Scientists and scientific journals should adhere to ethical standards for the use and reporting of data from Indigenous people. Diabetologia 2024; 67:2404-2407. [PMID: 39103722 DOI: 10.1007/s00125-024-06236-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 06/20/2024] [Indexed: 08/07/2024]
Abstract
Internationally, governments and scientists are bound by legal and treaty rights when working with Indigenous nations. These rights include the right of Indigenous people to control the conduct of science with Indigenous nations. Unfortunately, in some cases, individual scientists and scientific teams working with biological and genetic data collected from Indigenous people have not respected these international rights. Here, we argue that the scientific community should understand and acknowledge the historical harms experienced by Indigenous people under the veil of scientific progress (truth) and implement existing standards for ethical conduct of research and sovereign control of data collected within Indigenous communities (reconciliation). Specifically, we outline the rationale for why scientists, scientific journals and research integrity and institutional review boards/ethics committees should adopt, and be held accountable for upholding, current international standards of Indigenous data sovereignty and ethical use of Indigenous biological samples.
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Affiliation(s)
| | - Taylor Morriseau
- First Nations Health and Secretariat of Manitoba, Winnipeg, MB, Canada
- Diabetes Research Envisioned and Accomplished in Manitoba, Children's Hospital Research Institute of Manitoba, Winnipeg, MB, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Kali Dale
- Native BioData Consortium, Eagle Butte, SD, USA
| | | | - Jonathan McGavock
- Diabetes Research Envisioned and Accomplished in Manitoba, Children's Hospital Research Institute of Manitoba, Winnipeg, MB, Canada.
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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] [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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Justice AE, Young K, Gogarten SM, Sofer T, Graff M, Love SAM, Wang Y, Klimentidis YC, Cruz M, Guo X, Hartwig F, Petty L, Yao J, Allison MA, Below JE, Buchanan TA, Chen YDI, Goodarzi MO, Hanis C, Highland HM, Hsueh WA, Ipp E, Parra E, Palmas W, Raffel LJ, Rotter JI, Tan J, Taylor KD, Valladares A, Xiang AH, Sánchez-Johnsen L, Isasi CR, North KE. Genome-wide association study of body fat distribution traits in Hispanics/Latinos from the HCHS/SOL. Hum Mol Genet 2021; 30:2190-2204. [PMID: 34165540 PMCID: PMC8561424 DOI: 10.1093/hmg/ddab166] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 01/02/2023] Open
Abstract
Central obesity is a leading health concern with a great burden carried by ethnic minority populations, especially Hispanics/Latinos. Genetic factors contribute to the obesity burden overall and to inter-population differences. We aimed to identify the loci associated with central adiposity measured as waist-to-hip ratio (WHR), waist circumference (WC) and hip circumference (HIP) adjusted for body mass index (adjBMI) by using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL); determine if differences in associations differ by background group within HCHS/SOL and determine whether previously reported associations generalize to HCHS/SOL. Our analyses included 7472 women and 5200 men of mainland (Mexican, Central and South American) and Caribbean (Puerto Rican, Cuban and Dominican) background residing in the USA. We performed genome-wide association analyses stratified and combined across sexes using linear mixed-model regression. We identified 16 variants for waist-to-hip ratio adjusted for body mass index (WHRadjBMI), 22 for waist circumference adjusted for body mass index (WCadjBMI) and 28 for hip circumference adjusted for body mass index (HIPadjBMI), which reached suggestive significance (P < 1 × 10-6). Many loci exhibited differences in strength of associations by ethnic background and sex. We brought a total of 66 variants forward for validation in cohorts (N = 34 161) with participants of Hispanic/Latino, African and European descent. We confirmed four novel loci (P < 0.05 and consistent direction of effect, and P < 5 × 10-8 after meta-analysis), including two for WHRadjBMI (rs13301996, rs79478137); one for WCadjBMI (rs3168072) and one for HIPadjBMI (rs28692724). Also, we generalized previously reported associations to HCHS/SOL, (8 for WHRadjBMI, 10 for WCadjBMI and 12 for HIPadjBMI). Our study highlights the importance of large-scale genomic studies in ancestrally diverse Hispanic/Latino populations for identifying and characterizing central obesity susceptibility that may be ancestry-specific.
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Affiliation(s)
- Anne E Justice
- Department of Population Health Sciences, Geisinger Health System, Danville, PA 17822, USA,Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA,To whom correspondence should be addressed at: Department of Population Health Sciences, Geisinger Health System, Danville, PA 17822, USA. Tel: +1 5702141009; Fax: +1 5702143071;
| | - Kristin Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | | | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | - Shelly Ann M Love
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | - Yujie Wang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | - Yann C Klimentidis
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, USA
| | - Miguel Cruz
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI (CMNSXX1)-IMSS, Mexico City 06720, Mexico
| | - 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
| | - Fernando Hartwig
- Center for Epidemiological Research, Universidade Federal de Pelotas, Pelotas 96020, Brazil
| | - Lauren Petty
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, 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
| | - Matthew A Allison
- Division of Preventive Medicine, Department of Family Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Thomas A Buchanan
- Department of Medicine, Keck School of Medicine and Diabetes and Obesity Research Institute, 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
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Craig Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
| | - Willa A Hsueh
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Wexner Medical Center, The Ohio State University, Columbus, OH 43210, USA
| | - Eli Ipp
- Department of Medicine, Endocrinology, Diabetes & Metabolism, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Esteban Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON L5L 1C6, Canada
| | - Walter Palmas
- Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Leslie J Raffel
- Department of PediatrIcs, Division of Genetic and Genomic Medicine, University of California, Irvine, CA 92868, USA
| | - 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
| | - 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
| | - Adan Valladares
- Unidad de Investigacion Medica en Bioquimica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI (CMNSXX1)-IMSS, Mexico City 06720, Mexico
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA 91101, USA
| | - Lisa Sánchez-Johnsen
- Department of Family Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY 10467, USA,Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10467, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA
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Peng Q, Bizon C, Gizer IR, Wilhelmsen KC, Ehlers CL. Genetic loci for alcohol-related life events and substance-induced affective symptoms: indexing the "dark side" of addiction. Transl Psychiatry 2019; 9:71. [PMID: 30718457 PMCID: PMC6362044 DOI: 10.1038/s41398-019-0397-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 01/17/2019] [Indexed: 12/24/2022] Open
Abstract
A limited number of genetic variants have been identified in traditional GWAS as risk or protective factors for alcohol use disorders (AUD) and related phenotypes. We herein report whole-genome association and rare-variant analyses on AUD traits in American Indians (AI) and European Americans (EA). We evaluated 742 AIs and 1711 EAs using low-coverage whole-genome sequencing. Phenotypes included: (1) a metric based on the occurrence of 36 alcohol-related life events that reflect AUD severity; (2) two alcohol-induced affective symptoms that accompany severe AUDs. We identified two new loci for alcohol-related life events with converging evidence from both cohorts: rare variants of K2P channel gene KCNK2, and rare missense and splice-site variants in pro-inflammatory mediator gene PDE4C. A NAF1-FSTL5 intergenic variant and an FSTL5 variant were respectively associated with alcohol-related life events in AI and EA. PRKG2 of serine/threonine protein kinase family, and rare variants in interleukin subunit gene EBI3 (IL-27B) were uniquely associated with alcohol-induced affective symptoms in AI. LncRNA LINC02347 on 12q24.32 was uniquely associated with alcohol-induced depression in EA. The top GWAS findings were primarily rare/low-frequency variants in AI, and common variants in EA. Adrenal gland was the most enriched in tissue-specific gene expression analysis for alcohol-related life events, and nucleus accumbens was the most enriched for alcohol-induced affective states in AI. Prefrontal cortex was the most enriched in EA for both traits. These studies suggest that whole-genome sequencing can identify novel, especially uncommon, variants associated with severe AUD phenotypes although the findings may be population specific.
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Affiliation(s)
- Qian Peng
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, 92037, USA.
| | - Chris Bizon
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, 27517, USA
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA
| | - Kirk C Wilhelmsen
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, 27517, USA
- Department of Genetics and Neurology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Cindy L Ehlers
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, 92037, USA.
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Chinchilla-López P, Ramírez-Pérez O, Cruz-Ramón V, Canizales-Quinteros S, Domínguez-López A, Ponciano-Rodríguez G, Sánchez-Muñoz F, Méndez-Sánchez N. More Evidence for the Genetic Susceptibility of Mexican Population to Nonalcoholic Fatty Liver Disease through PNPLA3. Ann Hepatol 2018; 17:250-255. [PMID: 29469042 DOI: 10.5604/01.3001.0010.8644] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND The gene for patatin-like phospholipase domain containing 3 (PNPLA3) is associated with nonalcoholic fatty liver disease (NAFLD) development. We previously found that Mexican indigenous population had the highest frequency reported of the PNPLA3 148M risk allele. Further, we observed a relationship between M148M genotype with elevated ALT levels in individuals with normal weight, overweight and obese. We sought to investigate whether PNPLA3 polymorphism is associated with NAFLD development in Mexicans. MATERIAL AND METHODS We enrolled 189 Mexican patients with NAFLD and 201 healthy controls. Anthropometric, metabolic, and biochemical variables were measured, and rs738409 (Ile148Met substitution) polymorphism was genotyped by sequencing. RESULTS Logistic regression analysis, using a recessive model, suggested that PNPLA3 polymorphism in Mexican population is significantly associated (OR = 1.711, 95% CI: 1.014-2.886; P = 0.044) with NAFLD. CONCLUSIONS The PNPLA3 gene is associated with NAFLD in Mexican population. More studies are required to explain the high prevalence of PNPLA3 polymorphism in Mexican-Americans, Mexican-Indians, and Mexican-Mestizos.
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Affiliation(s)
| | | | - Vania Cruz-Ramón
- Liver Research Unit, Medica Sur Clinic & Foundation, Mexico City
| | | | - Aarón Domínguez-López
- Department of Postgraduate Courses and Research, Laboratory of Molecular Biology, Superior School of Medicine, National Polytechnic Institute. Mexico City, Mexico
| | | | - Fausto Sánchez-Muñoz
- Department of Immunology, National Institute of Cardiology "Ignacio Chávez", Mexico City, Mexico
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7
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Peng Q, Gizer IR, Wilhelmsen KC, Ehlers CL. Associations Between Genomic Variants in Alcohol Dehydrogenase Genes and Alcohol Symptomatology in American Indians and European Americans: Distinctions and Convergence. Alcohol Clin Exp Res 2017; 41:1695-1704. [PMID: 28815635 DOI: 10.1111/acer.13480] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 08/10/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND Higher rates of alcohol use disorders (AUD) have been observed in some Native American populations than other ethnic groups such as European Americans (EAs) in the United States. Previous studies have shown that variation in the alcohol dehydrogenase (ADH) genes may affect the risk for development of AUD and that the prevalence of these variants differs depending on the ancestral origins of a population. METHODS In this study, we assessed sequencing variants in the ADH genomic region (ADH1-7) and tested for their associations with AUD phenotypes in 2 independent populations: an American Indian (AI) community sample and an EA cohort from the San Francisco Family Alcohol Study. Association tests were conducted for both common and rare variants using sequencing data for 2 phenotypes: the number of alcohol-related life events and the count of alcohol dependence drinking symptoms. A regularized regression method was used to select the best set of ADH variants associated with phenotypes. Variance component model was incorporated in all analyses to leverage the admixture and relatedness. RESULTS Two variants near ADH4 and 2 near ADH1C exhibited significant associations with AUD in AIs; no variant was significant in EAs. Common risk variants in AIs were either absent from or much less frequent in EAs. The feature selection method selected mostly distinct yet often colocated subsets of ADH variants to be associated with AUD phenotypes between the 2 cohorts. In the rare-variant analyses, the only association was observed between the whole region and the alcohol-related life events in AIs. CONCLUSIONS Our results suggest that ADH variants, both common and rare, are more likely to impact risk for alcohol-related symptomatology in this AI population than in this EA sample, and ADH variants that might affect AUD are likely different but convergent on similar regions between the 2 populations.
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Affiliation(s)
- Qian Peng
- Department of Neuroscience, The Scripps Research Institute, La Jolla, California
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri
| | - Kirk C Wilhelmsen
- Department of Genetics and Neurology, University of North Carolina, Chapel Hill, North Carolina
| | - Cindy L Ehlers
- Department of Neuroscience, The Scripps Research Institute, La Jolla, California
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8
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Peng Q, Schork NJ, Wilhelmsen KC, Ehlers CL. Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population. Am J Med Genet B Neuropsychiatr Genet 2017; 174:435-450. [PMID: 28436151 PMCID: PMC5435561 DOI: 10.1002/ajmg.b.32533] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 02/06/2017] [Indexed: 12/18/2022]
Abstract
EEG alpha activity is the dominant oscillation in most adult humans, is highly heritable, and has been associated with a number of cognitive functions. Two EEG phenotypes, low- and high-voltage alpha (LVA & HVA), have been demonstrated to have high heritabilities. They have different prevalence depending on a population's ancestral origins. In the present study we assessed the influence of ancestry admixture on EEG alpha power, and conducted a whole genome sequencing association analysis and an ancestry-informed polygenic study on those phenotypes in a Native American (NA) population that has a high prevalence of LVA. Seven common variants, in LD with each other upstream from gene ASIC2, reached genome-wide significance (p = 2 × 10-8 ) having a positive association with alpha voltage. They had lower minor allele frequencies in the NAs than in a global population sample. Overall correlations between lower degrees of NA (higher degree European) ancestry and HVA, and higher degrees of NA and LVA were also found. Additionally a rare-variant gene-based study identified gene TIA1 being negatively associated with LVA. Approximately 3% of SNPs exhibited a 15-fold enrichment that explained nearly half of the total SNP-heritability for EEG alpha. These regions showed the most significant anti-correlations between NA ancestry and alpha voltage, and were enriched for genes and pathways mediating cognitive functions. Our findings suggested that these regions likely harbor causal variants for HVA, and lacking of such variants could explain the high prevalence of LVA in this NA population, possibly illuminating the ancestral origin and genetic basis for EEG alpha.
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Affiliation(s)
- Qian Peng
- Department of Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla, California 92037 USA
- Department of Human Biology, J. Craig Venter Institute, La Jolla, California 92037 USA
| | - Nicholas J. Schork
- Department of Human Biology, J. Craig Venter Institute, La Jolla, California 92037 USA
| | - Kirk C. Wilhelmsen
- Department of Genetics and Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 USA
| | - Cindy L. Ehlers
- Department of Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla, California 92037 USA
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9
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Vashi N, Stryjecki C, Peralta-Romero J, Suarez F, Gomez-Zamudio J, Burguete-Garcia AI, Cruz M, Meyre D. Genetic markers of inflammation may not contribute to metabolic traits in Mexican children. PeerJ 2016; 4:e2090. [PMID: 27366637 PMCID: PMC4924140 DOI: 10.7717/peerj.2090] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Accepted: 05/07/2016] [Indexed: 01/16/2023] Open
Abstract
Background: Low-grade chronic inflammation is a common feature of obesity and its cardio-metabolic complications. However, little is known about a possible causal role of inflammation in metabolic disorders. Mexico is among the countries with the highest obesity rates in the world and the admixed Mexican population is a relevant sample due to high levels of genetic diversity. Methods: Here, we studied 1,462 Mexican children recruited from Mexico City. Six genetic variants in five inflammation-related genes were genotyped: rs1137101 (leptin receptor (LEPR)), rs7305618 (hepatocyte nuclear factor 1 alpha (HNF1A)), rs1800629 (tumor necrosis factor alpha (TNFA)), rs1800896, rs1800871 (interleukin-10 (IL-10)), rs1862513 (resistin (RETN)). Ten continuous and eight binary traits were assessed. Linear and logistic regression models were used adjusting for age, sex, and recruitment centre. Results: We found that one SNP displayed a nominal evidence of association with a continuous trait: rs1800871 (IL-10) with LDL (beta = −0.068 ± 1.006, P = 0.01). Subsequently, we found one nominal association with a binary trait: rs7305618 (HNF1A) with family history of hypertension (odds-ratio = 1.389 [1.054–1.829], P = 0.02). However, no P-value passed the Bonferroni correction for multiple testing. Discussion: Our data in a Mexican children population are consistent with previous reports in European adults in failing to demonstrate an association between inflammation-associated single nucleotide polymorphisms (SNPs) and metabolic traits.
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Affiliation(s)
- Neeti Vashi
- Clinical Epidemiology & Biostatistics, McMaster University , Hamilton , Canada
| | - Carolina Stryjecki
- Clinical Epidemiology & Biostatistics, McMaster University , Hamilton , Canada
| | - Jesus Peralta-Romero
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social , Mexico City , Mexico
| | - Fernando Suarez
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social , Mexico City , Mexico
| | - Jaime Gomez-Zamudio
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social , Mexico City , Mexico
| | - Ana I Burguete-Garcia
- Centro de investigación sobre enfermedades infecciosas, Instituto Nacional de Salud Pública , Cuernavaca , Mexico
| | - Miguel Cruz
- Medical Research Unit in Biochemistry, Hospital de Especialidades, Centro Médico Nacional Siglo XXI del Instituto Mexicano del Seguro Social , Mexico City , Mexico
| | - David Meyre
- Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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10
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Hu H, Huff CD, Yamamura Y, Wu X, Strom SS. The Relationship between Native American Ancestry, Body Mass Index and Diabetes Risk among Mexican-Americans. PLoS One 2015; 10:e0141260. [PMID: 26501420 PMCID: PMC4621045 DOI: 10.1371/journal.pone.0141260] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Accepted: 10/05/2015] [Indexed: 01/19/2023] Open
Abstract
Higher body mass index (BMI) is a well-established risk factor for type 2 diabetes, and rates of obesity and type 2 diabetes are substantially higher among Mexican-Americans relative to non-Hispanic European Americans. Mexican-Americans are genetically diverse, with a highly variable distribution of Native American, European, and African ancestries. Here, we evaluate the role of Native American ancestry on BMI and diabetes risk in a well-defined Mexican-American population. Participants were randomly selected among individuals residing in the Houston area who are enrolled in the Mexican-American Cohort study. Using a custom Illumina GoldenGate Panel, we genotyped DNA from 4,662 cohort participants for 87 Ancestry-Informative Markers. On average, the participants were of 50.2% Native American ancestry, 42.7% European ancestry and 7.1% African ancestry. Using multivariate linear regression, we found BMI and Native American ancestry were inversely correlated; individuals with <20% Native American ancestry were 2.5 times more likely to be severely obese compared to those with >80% Native American ancestry. Furthermore, we demonstrated an interaction between BMI and Native American ancestry in diabetes risk among women; Native American ancestry was a strong risk factor for diabetes only among overweight and obese women (OR = 1.190 for each 10% increase in Native American ancestry). This study offers new insight into the complex relationship between obesity, genetic ancestry, and their respective effects on diabetes risk. Findings from this study may improve the diabetes risk prediction among Mexican-American individuals thereby facilitating targeted prevention strategies.
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Affiliation(s)
- Hao Hu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Chad D. Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Yuko Yamamura
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Xifeng Wu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Sara S. Strom
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
- * E-mail:
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11
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Jernigan TL, Brown TT, Hagler DJ, Akshoomoff N, Bartsch H, Newman E, Thompson WK, Bloss CS, Murray SS, Schork N, Kennedy DN, Kuperman JM, McCabe C, Chung Y, Libiger O, Maddox M, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Sowell ER, Kenet T, Kaufmann WE, Mostofsky S, Amaral DG, Dale AM. The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. Neuroimage 2015; 124:1149-1154. [PMID: 25937488 DOI: 10.1016/j.neuroimage.2015.04.057] [Citation(s) in RCA: 200] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2015] [Revised: 04/26/2015] [Accepted: 04/27/2015] [Indexed: 11/16/2022] Open
Abstract
The main objective of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) study was to create a large repository of standardized measurements of behavioral and imaging phenotypes accompanied by whole genome genotyping acquired from typically-developing children varying widely in age (3 to 20 years). This cross-sectional study produced sharable data from 1493 children, and these data have been described in several publications focusing on brain and cognitive development. Researchers may gain access to these data by applying for an account on the PING portal and filing a data use agreement. Here we describe the recruiting and screening of the children and give a brief overview of the assessments performed, the imaging methods applied, the genetic data produced, and the numbers of cases for whom different data types are available. We also cite sources of more detailed information about the methods and data. Finally we describe the procedures for accessing the data and for using the PING data exploration portal.
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Affiliation(s)
- Terry L Jernigan
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA; Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | - Timothy T Brown
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Donald J Hagler
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Natacha Akshoomoff
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Hauke Bartsch
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA
| | - Erik Newman
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Wesley K Thompson
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Stein Institute for Research on Aging, University of California, San Diego, La Jolla, CA, USA
| | - Cinnamon S Bloss
- The Qualcomm Institute, University of California, San Diego, La Jolla, CA, USA
| | - Sarah S Murray
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | | | - David N Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, USA
| | - Joshua M Kuperman
- Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Connor McCabe
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Ondrej Libiger
- The Qualcomm Institute, University of California, San Diego, La Jolla, CA, USA
| | - Melanie Maddox
- Center for Human Development, University of California, San Diego, La Jolla, CA, USA
| | - B J Casey
- Sackler Institute for Developmental Psychobiology, Weil Cornell Medical College, New York, NY, USA
| | - Linda Chang
- Department of Medicine, University of Hawaii, Queen's Medical Center, Honolulu, HI, USA
| | - Thomas M Ernst
- Department of Medicine, University of Hawaii, Queen's Medical Center, Honolulu, HI, USA
| | - Jean A Frazier
- Department of Psychiatry, University of Massachusetts Medical School, Boston, MA, USA
| | - Jeffrey R Gruen
- Departments of Pediatrics and Genetics, Yale University, School of Medicine, New Haven, CT, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, University of Southern California, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Tal Kenet
- Department of Neurology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | - Stewart Mostofsky
- Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences, University of California-Davis, Davis, CA, USA
| | - Anders M Dale
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA; Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
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12
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Goonesekera SD, Fang SC, Piccolo RS, Florez JC, McKinlay JB. Biogeographic ancestry is associated with higher total body adiposity among African-American females: the Boston Area Community Health Survey. PLoS One 2015; 10:e0122808. [PMID: 25875902 PMCID: PMC4395279 DOI: 10.1371/journal.pone.0122808] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 02/13/2015] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES The prevalence of obesity is disproportionately higher among African-Americans and Hispanics as compared to whites. We investigated the role of biogeographic ancestry (BGA) on adiposity and changes in adiposity in the Boston Area Community Health Survey. METHODS We evaluated associations between BGA, assessed via Ancestry Informative Markers, and adiposity (body mass index (BMI), percent body fat (PBF), and waist-to-hip ratio (WHR)) and changes in adiposity over 7 years for BMI and WHR and 2.5 years for PBF, per 10% greater proportion of BGA using multivariable linear regression. We also examined effect-modification by demographic and socio-behavioral variables. RESULTS We observed positive associations between West-African ancestry and cross-sectional BMI (percent difference=0.62%; 95% CI: 0.04%, 1.20%), and PBF (β=0.35; 95% CI: 0.11, 0.58). We also observed significant effect-modification of the association between West-African ancestry and BMI by gender (p-interaction: <0.002) with a substantially greater association in women. We observed no main associations between Native-American ancestry and adiposity but observed significant effect-modification of the association with BMI by diet (p-interaction: <0.003) with inverse associations among participants with higher Healthy Eating Scores. No associations were observed between BGA and changes in adiposity over time. CONCLUSION Findings support that West-African ancestry may contribute to high prevalence of total body adiposity among African-Americans, particularly African-American women.
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Affiliation(s)
- Sunali D. Goonesekera
- Department of Epidemiology and Biostatistics, New England Research Institutes, 480 Pleasant St., Watertown, MA 02472, United States of America
- * E-mail:
| | - Shona C. Fang
- Department of Epidemiology and Biostatistics, New England Research Institutes, 480 Pleasant St., Watertown, MA 02472, United States of America
- Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, United States of America
| | - Rebecca S. Piccolo
- Department of Epidemiology and Biostatistics, New England Research Institutes, 480 Pleasant St., Watertown, MA 02472, United States of America
| | - Jose C. Florez
- Diabetes Unit/ Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, United States of America
| | - John B. McKinlay
- Department of Epidemiology and Biostatistics, New England Research Institutes, 480 Pleasant St., Watertown, MA 02472, United States of America
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