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Brath MSG, Sahakyan M, Mark EB, Rasmussen HH, Østergaard LR, Frøkjær JB, Weinreich UM, Jørgensen ME. Ethnic differences in CT derived abdominal body composition measures: a comparative retrospect pilot study between European and Inuit study population. Int J Circumpolar Health 2024; 83:2312663. [PMID: 38314517 PMCID: PMC10846476 DOI: 10.1080/22423982.2024.2312663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/28/2024] [Indexed: 02/06/2024] Open
Abstract
Understanding ethnic variations in body composition is crucial for assessing health risks. Universal models may not suit all ethnicities, and there is limited data on the Inuit population. This study aimed to compare body composition between Inuit and European adults using computed tomography (CT) scans and to investigate the influence of demographics on these measurements. A retrospective analysis was conducted on 50 adults (29 Inuit and 21 European) who underwent standard trauma CT scans. Measurements focused on skeletal muscle index (SMI), various fat indices, and densities at the third lumbar vertebra level, analyzed using the Wilcoxon-Mann-Whitney test and multiple linear regression. Inuit women showed larger fat tissue indices and lower muscle and fat densities than European women. Differences in men were less pronouncehd, with only Intramuscular fat density being lower among Inuit men. Regression indicated that SMI was higher among men, and skeletal muscle density decreased with Inuit ethnicity and age, while visceral fat index was positively associated with age. This study suggests ethnic differences in body composition measures particularly among women, and indicates the need for Inuit-specific body composition models. It higlights the importance of further research into Inuit-specific body composition measurements for better health risk assessment.
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Affiliation(s)
- Mia Solholt Godthaab Brath
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark
- Respiratory Research Aalborg, Reaal, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Marina Sahakyan
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Esben Bolvig Mark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Mech-Sense, Department. of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Henrik Højgaard Rasmussen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Danish Nutrition Science Center, Department. of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- Center for Nutrition and Intestinal Failure, Department. of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
- The Dietitians and Nutritional Research Unit, EATEN, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Lasse Riis Østergaard
- Medical Informatics group, Department. of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Ulla Møller Weinreich
- Department of Respiratory Medicine, Aalborg University Hospital, Aalborg, Denmark
- Respiratory Research Aalborg, Reaal, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Marit Eika Jørgensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Institute of Health and Nature, University of Greenland, Nuuk, Greenland
- Steno Diabetes Center Greenland, Queen Ingrid’s Hospital, Nuuk, Greenland
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Ishida Y, Matsushita M, Yoneshiro T, Saito M, Nakayama K. Association between thermogenic brown fat and genes under positive natural selection in circumpolar populations. J Physiol Anthropol 2024; 43:19. [PMID: 39160621 DOI: 10.1186/s40101-024-00368-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 08/11/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND Adaptation to cold was essential for human migration across Eurasia. Non-shivering thermogenesis through brown adipose tissue (BAT) participates in cold adaptation because some genes involved in the differentiation and function of BAT exhibit signatures of positive natural selection in populations at high latitudes. Whether these genes are associated with the inter-individual variability in BAT thermogenesis remains unclear. In this study, we evaluated the potential associations between BAT activity and single nucleotide polymorphisms (SNPs) in candidate gene regions in East Asian populations. METHODS BAT activity induced by mild cold exposure was measured in 399 healthy Japanese men and women using fluorodeoxyglucose-positron emission tomography and computed tomography (FDG-PET/CT). The capacity for cold-induced thermogenesis and fat oxidation was measured in 56 men. Association analyses with physiological traits were performed for 11 SNPs at six loci (LEPR, ANGPTL8, PLA2G2A, PLIN1, TBX15-WARS2, and FADS1) reported to be under positive natural selection. Associations found in the FDG-PET/CT population were further validated in 84 healthy East Asian men and women, in whom BAT activity was measured using infrared thermography. Associations between the SNP genotypes and BAT activity or other related traits were tested using multiple logistic and linear regression models. RESULTS Of the 11 putative adaptive alleles of the six genes, two intronic SNPs in LEPR (rs1022981 and rs12405556) tended to be associated with higher BAT activity. However, these did not survive multiple test comparisons. Associations with lower body fat percentage, plasma triglyceride, insulin, and HOMA-IR levels were observed in the FDG-PET/CT population (P < 0.05). Other loci, including TBX15-WARS2, which is speculated to mediate cold adaptation in Greenland Inuits, did not show significant differences in BAT thermogenesis. CONCLUSIONS Our results suggest a marginal but significant association between LEPR SNPs. However, robust supporting evidence was not established for the involvement of other loci under positive natural selection in cold adaptation through BAT thermogenesis in East Asian adults. Given the pleiotropic function of these genes, factors other than cold adaptation through BAT thermogenesis, such as diet adaptation, may contribute to positive natural selection at these loci.
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Affiliation(s)
- Yuka Ishida
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Mami Matsushita
- Department of Nutrition, School of Nursing and Nutrition, Tenshi College, Sapporo, Hokkaido, 065-0013, Japan
| | - Takeshi Yoneshiro
- Division of Molecular Physiology and Metabolism, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Masayuki Saito
- Department of Nutrition, School of Nursing and Nutrition, Tenshi College, Sapporo, Hokkaido, 065-0013, Japan
- Laboratory of Biochemistry, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan
| | - Kazuhiro Nakayama
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan.
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Rutter LA, MacKay MJ, Cope H, Szewczyk NJ, Kim J, Overbey E, Tierney BT, Muratani M, Lamm B, Bezdan D, Paul AM, Schmidt MA, Church GM, Giacomello S, Mason CE. Protective alleles and precision healthcare in crewed spaceflight. Nat Commun 2024; 15:6158. [PMID: 39039045 PMCID: PMC11263583 DOI: 10.1038/s41467-024-49423-6] [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: 01/17/2023] [Accepted: 06/05/2024] [Indexed: 07/24/2024] Open
Abstract
Common and rare alleles are now being annotated across millions of human genomes, and omics technologies are increasingly being used to develop health and treatment recommendations. However, these alleles have not yet been systematically characterized relative to aerospace medicine. Here, we review published alleles naturally found in human cohorts that have a likely protective effect, which is linked to decreased cancer risk and improved bone, muscular, and cardiovascular health. Although some technical and ethical challenges remain, research into these protective mechanisms could translate into improved nutrition, exercise, and health recommendations for crew members during deep space missions.
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Affiliation(s)
- Lindsay A Rutter
- Transborder Medical Research Center, University of Tsukuba, Ibaraki, 305-8575, Japan
- Department of Genome Biology, Institute of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan
- School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Matthew J MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10021, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Henry Cope
- School of Medicine, University of Nottingham, Nottingham, DE22 3DT, UK
| | - Nathaniel J Szewczyk
- School of Medicine, University of Nottingham, Nottingham, DE22 3DT, UK
- Ohio Musculoskeletal and Neurological Institute (OMNI), Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, 45701, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Eliah Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Braden T Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Masafumi Muratani
- Transborder Medical Research Center, University of Tsukuba, Ibaraki, 305-8575, Japan
- Department of Genome Biology, Institute of Medicine, University of Tsukuba, Ibaraki, 305-8575, Japan
| | - Ben Lamm
- Colossal Biosciences, 1401 Lavaca St, Unit #155 Austin, Austin, TX, 78701, USA
| | - Daniela Bezdan
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
- Yuri GmbH, Meckenbeuren, Germany
| | - Amber M Paul
- Embry-Riddle Aeronautical University, Department of Human Factors and Behavioral Neurobiology, Daytona Beach, FL, 32114, USA
| | - Michael A Schmidt
- Sovaris Aerospace, Boulder, CO, 80302, USA.
- Advanced Pattern Analysis & Human Performance Group, Boulder, CO, 80302, USA.
| | - George M Church
- GC Therapeutics Inc, Cambridge, MA, 02139, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02115, USA.
| | | | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10021, USA.
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, 10065, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02115, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, 10065, USA.
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4
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Ostridge HJ, Fontsere C, Lizano E, Soto DC, Schmidt JM, Saxena V, Alvarez-Estape M, Barratt CD, Gratton P, Bocksberger G, Lester JD, Dieguez P, Agbor A, Angedakin S, Assumang AK, Bailey E, Barubiyo D, Bessone M, Brazzola G, Chancellor R, Cohen H, Coupland C, Danquah E, Deschner T, Dotras L, Dupain J, Egbe VE, Granjon AC, Head J, Hedwig D, Hermans V, Hernandez-Aguilar RA, Jeffery KJ, Jones S, Junker J, Kadam P, Kaiser M, Kalan AK, Kambere M, Kienast I, Kujirakwinja D, Langergraber KE, Lapuente J, Larson B, Laudisoit A, Lee KC, Llana M, Maretti G, Martín R, Meier A, Morgan D, Neil E, Nicholl S, Nixon S, Normand E, Orbell C, Ormsby LJ, Orume R, Pacheco L, Preece J, Regnaut S, Robbins MM, Rundus A, Sanz C, Sciaky L, Sommer V, Stewart FA, Tagg N, Tédonzong LR, van Schijndel J, Vendras E, Wessling EG, Willie J, Wittig RM, Yuh YG, Yurkiw K, Vigilant L, Piel A, Boesch C, Kühl HS, Dennis MY, Marques-Bonet T, Arandjelovic M, Andrés AM. Local genetic adaptation to habitat in wild chimpanzees. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.09.601734. [PMID: 39026872 PMCID: PMC11257515 DOI: 10.1101/2024.07.09.601734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
How populations adapt to their environment is a fundamental question in biology. Yet we know surprisingly little about this process, especially for endangered species such as non-human great apes. Chimpanzees, our closest living relatives, are particularly interesting because they inhabit diverse habitats, from rainforest to woodland-savannah. Whether genetic adaptation facilitates such habitat diversity remains unknown, despite having wide implications for evolutionary biology and conservation. Using 828 newly generated exomes from wild chimpanzees, we find evidence of fine-scale genetic adaptation to habitat. Notably, adaptation to malaria in forest chimpanzees is mediated by the same genes underlying adaptation to malaria in humans. This work demonstrates the power of non-invasive samples to reveal genetic adaptations in endangered populations and highlights the importance of adaptive genetic diversity for chimpanzees.
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Affiliation(s)
- Harrison J Ostridge
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Claudia Fontsere
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Esther Lizano
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Daniela C Soto
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Joshua M Schmidt
- Flinders Health and Medical Research Institute (FHMRI), Department of Ophthalmology, Flinders University Sturt Rd, Bedford Park South Australia 5042 Australia
| | - Vrishti Saxena
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Marina Alvarez-Estape
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Christopher D Barratt
- Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Paolo Gratton
- University of Rome "Tor Vergata" Department of Biology Via Cracovia, 1, Roma, Italia
| | - Gaëlle Bocksberger
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage, 60325 Frankfurt am Main, Germany
| | - Jack D Lester
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Paula Dieguez
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Anthony Agbor
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Samuel Angedakin
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Alfred Kwabena Assumang
- Department of Wildlife and Range Management, Faculty of Renewable Natural Resources, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Emma Bailey
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Donatienne Barubiyo
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Mattia Bessone
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- University of Konstanz, Centre for the Advanced Study of Collective Behaviour, Universitätsstraße 10, 78464, Konstanz, Germany
| | - Gregory Brazzola
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Rebecca Chancellor
- West Chester University, Depts of Anthropology & Sociology and Psychology, West Chester, PA, 19382 USA
| | - Heather Cohen
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Charlotte Coupland
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Emmanuel Danquah
- Department of Wildlife and Range Management, Faculty of Renewable Natural Resources, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Tobias Deschner
- Institute of Cognitive Science, University of Osnabrück, Artilleriestrasse 34, 49076 Osnabrück, Germany
| | - Laia Dotras
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
- Department of Social Psychology and Quantitative Psychology, Serra Hunter Programme, University of Barcelona, Barcelona, Spain
| | - Jef Dupain
- Antwerp Zoo Foundation, RZSA, Kon.Astridplein 26, 2018 Antwerp, Belgium
| | - Villard Ebot Egbe
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Anne-Céline Granjon
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Josephine Head
- The Biodiversity Consultancy, 3E Kings Parade, Cambridge, CB2 1SJ, UK
| | - Daniela Hedwig
- Elephant Listening Project, K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY 14850, USA
| | - Veerle Hermans
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
| | - R Adriana Hernandez-Aguilar
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
- Department of Social Psychology and Quantitative Psychology, Serra Hunter Programme, University of Barcelona, Barcelona, Spain
| | - Kathryn J Jeffery
- School of Natural Sciences, University of Stirling, UK
- Agence National des Parcs Nationaux (ANPN) Batterie 4, BP20379, Libreville, Gabon
| | - Sorrel Jones
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Jessica Junker
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Parag Kadam
- Greater Mahale Ecosystem Research and Conservation Project
| | - Michael Kaiser
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Ammie K Kalan
- Department of Anthropology, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada
| | - Mbangi Kambere
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Ivonne Kienast
- Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14850, USA
- K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
| | - Deo Kujirakwinja
- Wildlife Conservation Society (WCS), 2300 Southern Boulevard. Bronx, New York 10460, USA
| | - Kevin E Langergraber
- School of Human Evolution and Social Change, Institute of Human Origins, Arizona State University, 777 East University Drive, Tempe, AZ 85287 Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA
- Institute of Human Origins, Arizona State University, 900 Cady Mall, Tempe, AZ 85287 Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA
| | - Juan Lapuente
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | | | | | - Kevin C Lee
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
| | - Manuel Llana
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
| | - Giovanna Maretti
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Rumen Martín
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Amelia Meier
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- Hawai'i Insititute of Marine Biology, University of Hawai'i at Manoa, 46-007 Lilipuna Place, Kaneohe, HI, 96744, USA
| | - David Morgan
- Lester E. Fisher Center for the Study and Conservation of Apes, Lincoln Park Zoo, 2001 North Clark Street, Chicago, Illinois 60614 USA
| | - Emily Neil
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Sonia Nicholl
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Stuart Nixon
- North of England Zoological Society, Chester Zoo, Upton by Chester, CH2 1LH, United Kingdom
| | | | - Christopher Orbell
- Panthera, 8 W 40TH ST, New York, NY 10018, USA
- School of Natural Sciences, University of Stirling, UK
| | - Lucy Jayne Ormsby
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Robinson Orume
- Korup Rainforest Conservation Society, c/o Korup National Park, P.O. Box 36 Mundemba, South West Region, Cameroon
| | - Liliana Pacheco
- Save the Dogs and Other Animals, DJ 223 Km 3, 905200 Cernavoda CT, Romania
| | - Jodie Preece
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | | | - Martha M Robbins
- Max Planck Institute for Evolutionary Anthropology, Department of Primate Behavior and Evolution, Deutscher Platz 6, 04103 Leipzig
| | - Aaron Rundus
- West Chester University, Depts of Anthropology & Sociology and Psychology, West Chester, PA, 19382 USA
| | - Crickette Sanz
- Washington University in Saint Louis, Department of Anthropology, One Brookings Drive, St. Louis, MO 63130, USA
- Congo Program, Wildlife Conservation Society, 151 Avenue Charles de Gaulle, Brazzaville, Republic of Congo
| | - Lilah Sciaky
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Volker Sommer
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
| | - Fiona A Stewart
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
- Department of Human Origins, Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Nikki Tagg
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
- Born Free Foundation, Floor 2 Frazer House, 14 Carfax, Horsham, RH12 1ER, UK
| | - Luc Roscelin Tédonzong
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
| | - Joost van Schijndel
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Elleni Vendras
- Frankfurt Zoological Society, Bernhard-Grzimek-Allee 1, 60316 Frankfurt, Germany
| | - Erin G Wessling
- Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, Georg-August-University Göttingen,Göttingen, Germany
- German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Jacob Willie
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
- Terrestrial Ecology Unit (TEREC), Department of Biology, Ghent University (UGent), K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
| | - Roman M Wittig
- Ape Social Mind Lab, Institute for Cognitive Sciences Marc Jeannerod, CNRS UMR 5229 CNRS, 67 bd Pinel, 69675 Bron CEDEX, France
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, BP 1301, Abidjan 01, CI
| | - Yisa Ginath Yuh
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Kyle Yurkiw
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Linda Vigilant
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Alex Piel
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
| | | | - Hjalmar S Kühl
- Senckenberg Museum for Natural History Görlitz, Senckenberg - Member of the Leibniz Association Am Museum 1, 02826 Görlitz, Germany
- International Institute Zittau, Technische Universität Dresden, Markt 23, 02763 Zittau, Germany
| | - Megan Y Dennis
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Mimi Arandjelovic
- Max Planck Institute for Evolutionary Anthropology, Department of Primate Behavior and Evolution, Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103
| | - Aida M Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
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5
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Cooke NP, Murray M, Cassidy LM, Mattiangeli V, Okazaki K, Kasai K, Gakuhari T, Bradley DG, Nakagome S. Genomic imputation of ancient Asian populations contrasts local adaptation in pre- and post-agricultural Japan. iScience 2024; 27:110050. [PMID: 38883821 PMCID: PMC11176660 DOI: 10.1016/j.isci.2024.110050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 03/25/2024] [Accepted: 05/17/2024] [Indexed: 06/18/2024] Open
Abstract
Early modern humans lived as hunter-gatherers for millennia before agriculture, yet the genetic adaptations of these populations remain a mystery. Here, we investigate selection in the ancient hunter-gatherer-fisher Jomon and contrast pre- and post-agricultural adaptation in the Japanese archipelago. Building on the successful validation of imputation with ancient Asian genomes, we identify selection signatures in the Jomon, particularly robust signals from KITLG variants, which may have influenced dark pigmentation evolution. The Jomon lacks well-known adaptive variants (EDAR, ADH1B, and ALDH2), marking their emergence after the advent of farming in the archipelago. Notably, the EDAR and ADH1B variants were prevalent in the archipelago 1,300 years ago, whereas the ALDH2 variant could have emerged later due to its absence in other ancient genomes. Overall, our study underpins local adaptation unique to the Jomon population, which in turn sheds light on post-farming selection that continues to shape contemporary Asian populations.
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Affiliation(s)
- Niall P Cooke
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Lara M Cassidy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Kenji Okazaki
- Department of Anatomy, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Kenji Kasai
- Toyama Prefectural Center for Archaeological Operations, Toyama, Japan
| | - Takashi Gakuhari
- Institute for the Study of Ancient Civilizations and Cultural Resources, Kanazawa University, Kanazawa, Japan
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Shigeki Nakagome
- School of Medicine, Trinity College Dublin, Dublin, Ireland
- Institute for the Study of Ancient Civilizations and Cultural Resources, Kanazawa University, Kanazawa, Japan
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Pavlova NI, Krylov AV, Bochurov AA, Alekseev VA, Kurtanov KA. High Frequency of Ancestral Haplotype A of Fatty Acid Desaturase Genes in the Yakut Population. Genet Test Mol Biomarkers 2024. [PMID: 38860387 DOI: 10.1089/gtmb.2024.0085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024] Open
Abstract
Aims: The purpose of this study was to study the correlation of the body weight of Yakuts with the variability of polymorphisms rs174537, rs174546 and rs3834458 of the FADS1 - FADS2 region to identify the connection of certain genotypes with obesity. Materials and Methods: For genotyping, classical methods of PCR-RFLP analysis were used. A sample of 446 DNA samples from Yakut volunteers without chronic diseases (143 women and 303 men) was studied. Results: The predominance of the ancestral alleles of SNPs rs174537, rs174546 and rs3834458 was established in all of our studied groups. Analysis of the odds ratio of allele and genotype frequencies in patients with normal BMI, high BMI and obesity did not show statistically significant values. We did not find an association between rs174537, rs174546 and rs3834458 with obesity, but we did not take into account the diet of the subjects, which may have had a stronger effect on BMI. Analysis of pairwise linkage disequilibrium and assessment of haplotypes for 3 SNPs in the FADS1 and FADS2 genes showed strong linkage of all three SNPs to each other (r2 = 0.93-0.96). Conclusions: According to the result of genotyping of SNP rs174537, the frequency of haplotype A in the Yakut population was 0.76 and, in comparison with other world data, is quite high. Which in turn is associated with lower conversion of short-chain polyunsaturated fatty acid to long-chain polyunsaturated fatty acid. Accordingly, a shift in nutrition towards more plant foods can negatively impact the health of the Yakuts. At the moment, the exact dosage of polyunsaturated fatty acids (PUFAs) for humans has not yet been established, but judging by the fact that all recommendations are mainly made on the basis of European populations, in connection with the results of the study, the Yakuts have a particularly high need for PUFAs.
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Affiliation(s)
- Nadezhda I Pavlova
- Federal State Budgetary Scientific Institution, Yakut Scientific Center for Medical Problems, Yakutsk, Russian Federation
| | - Alexey V Krylov
- Federal State Budgetary Scientific Institution, Yakut Scientific Center for Medical Problems, Yakutsk, Russian Federation
| | - Alexey A Bochurov
- Federal State Budgetary Scientific Institution, Yakut Scientific Center for Medical Problems, Yakutsk, Russian Federation
| | - Vladislav A Alekseev
- Federal State Budgetary Scientific Institution, Yakut Scientific Center for Medical Problems, Yakutsk, Russian Federation
| | - Khariton A Kurtanov
- Federal State Autonomous Educational Institution of Higher Education, M K Ammosov North-Eastern Federal University, Yakutsk, Russian Federation
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Yazdanpanah M, Yazdanpanah N, Gamache I, Ong K, Perry JRB, Manousaki D. Metabolome-wide Mendelian randomization for age at menarche and age at natural menopause. Genome Med 2024; 16:69. [PMID: 38802955 PMCID: PMC11131236 DOI: 10.1186/s13073-024-01322-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/22/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The role of metabolism in the variation of age at menarche (AAM) and age at natural menopause (ANM) in the female population is not entirely known. We aimed to investigate the causal role of circulating metabolites in AAM and ANM using Mendelian randomization (MR). METHODS We combined MR with genetic colocalization to investigate potential causal associations between 658 metabolites and AAM and between 684 metabolites and ANM. We extracted genetic instruments for our exposures from four genome-wide association studies (GWAS) on circulating metabolites and queried the effects of these variants on the outcomes in two large GWAS from the ReproGen consortium. Additionally, we assessed the mediating role of the body mass index (BMI) in these associations, identified metabolic pathways implicated in AAM and ANM, and sought validation for selected metabolites in the Avon Longitudinal Study of Parents and Children (ALSPAC). RESULTS Our analysis identified 10 candidate metabolites for AAM, but none of them colocalized with AAM. For ANM, 76 metabolites were prioritized (FDR-adjusted MR P-value ≤ 0.05), with 17 colocalizing, primarily in the glycerophosphocholines class, including the omega-3 fatty acid and phosphatidylcholine (PC) categories. Pathway analyses and validation in ALSPAC mothers also highlighted the role of omega and polyunsaturated fatty acids levels in delaying age at menopause. CONCLUSIONS Our study suggests that metabolites from the glycerophosphocholine and fatty acid families play a causal role in the timing of both menarche and menopause. This underscores the significance of specific metabolic pathways in the biology of female reproductive longevity.
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Affiliation(s)
- Mojgan Yazdanpanah
- Research Center of the Sainte-Justine University Hospital, Université de Montréal, 3175 Côte-Sainte-Catherine, Montréal, Québec, H3T 1C5, Canada
| | - Nahid Yazdanpanah
- Research Center of the Sainte-Justine University Hospital, Université de Montréal, 3175 Côte-Sainte-Catherine, Montréal, Québec, H3T 1C5, Canada
| | - Isabel Gamache
- Research Center of the Sainte-Justine University Hospital, Université de Montréal, 3175 Côte-Sainte-Catherine, Montréal, Québec, H3T 1C5, Canada
| | - Ken Ong
- MRC Epidemiology Unit, School of Clinical Medicine, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - John R B Perry
- MRC Epidemiology Unit, School of Clinical Medicine, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
- Metabolic Research Laboratory, School of Clinical Medicine, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Despoina Manousaki
- Research Center of the Sainte-Justine University Hospital, Université de Montréal, 3175 Côte-Sainte-Catherine, Montréal, Québec, H3T 1C5, Canada.
- Departments of Pediatrics, Biochemistry and Molecular Medicine, Université de Montréal, Montreal, Canada.
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Lin L, Andersen MK, Stæger FF, Li Z, Hanghøj K, Linneberg A, Grarup N, Jørgensen ME, Hansen T, Moltke I, Albrechtsen A. Analysis of admixed Greenlandic siblings shows that the mean genotypic values for metabolic phenotypes differ between Inuit and Europeans. Genome Med 2024; 16:71. [PMID: 38778393 PMCID: PMC11112775 DOI: 10.1186/s13073-024-01326-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/28/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Disease prevalence and mean phenotype values differ between many populations, including Inuit and Europeans. Whether these differences are partly explained by genetic differences or solely due to differences in environmental exposures is still unknown, because estimates of the genetic contribution to these means, which we will here refer to as mean genotypic values, are easily confounded, and because studies across genetically diverse populations are lacking. METHODS Leveraging the unique genetic properties of the small, admixed and historically isolated Greenlandic population, we estimated the differences in mean genotypic value between Inuit and European genetic ancestry using an admixed sibling design. Analyses were performed across 26 metabolic phenotypes, in 1474 admixed sibling pairs present in a cohort of 5996 Greenlanders. RESULTS After FDR correction for multiple testing, we found significantly lower mean genotypic values in Inuit genetic ancestry compared to European genetic ancestry for body weight (effect size per percentage of Inuit genetic ancestry (se), -0.51 (0.16) kg/%), body mass index (-0.20 (0.06) kg/m2/%), fat percentage (-0.38 (0.13) %/%), waist circumference (-0.42 (0.16) cm/%), hip circumference (-0.38 (0.11) cm/%) and fasting serum insulin levels (-1.07 (0.51) pmol/l/%). The direction of the effects was consistent with the observed mean phenotype differences between Inuit and European genetic ancestry. No difference in mean genotypic value was observed for height, markers of glucose homeostasis, or circulating lipid levels. CONCLUSIONS We show that mean genotypic values for some metabolic phenotypes differ between two human populations using a method not easily confounded by possible differences in environmental exposures. Our study illustrates the importance of performing genetic studies in diverse populations.
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Affiliation(s)
- Long Lin
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
| | - Frederik Filip Stæger
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark
| | - Zilong Li
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark
| | - Kristian Hanghøj
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark
| | - Allan Linneberg
- Centre for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
| | - Marit Eika Jørgensen
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Steno Diabetes Center Greenland, Nuuk, Greenland
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.
| | - Ida Moltke
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark.
| | - Anders Albrechtsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark.
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Duan S, Wang M, Wang Z, Liu Y, Jiang X, Su H, Cai Y, Sun Q, Sun Y, Li X, Chen J, Zhang Y, Yan J, Nie S, Hu L, Tang R, Yun L, Wang CC, Liu C, Yang J, He G. Malaria resistance-related biological adaptation and complex evolutionary footprints inferred from one integrative Tai-Kadai-related genomic resource. Heliyon 2024; 10:e29235. [PMID: 38665582 PMCID: PMC11043949 DOI: 10.1016/j.heliyon.2024.e29235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Pathogen‒host adaptative interactions and complex population demographical processes, including admixture, drift, and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia remain unknown due to the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide SNP variations from 796 Tai-Kadai (TK) genomes, including that of Bouyei first reported here, to explore the genetic history, population structure, and biological adaptative features of TK people from southern China and Southeast Asia. We found geography-related population substructure among TK people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments. We found that the northern TK people from Guizhou harbored one TK-dominant ancestry maximized in the Bouyei people, and the southern TK people from Thailand were more influenced by Southeast Asians and indigenous people. We reconstructed fitted admixture models and demographic graphs, which showed that TK people received gene flow from ancient southern rice farmer-related lineages related to the Hmong-Mien and Austroasiatic people and from northern millet farmers associated with the Sino-Tibetan people. Biological adaptation focused on our identified unique TK lineages related to Bouyei, which showed many adaptive signatures conferring Malaria resistance and low-rate lipid metabolism. Further gene enrichment, the allele frequency distribution of derived alleles, and their correlation with the incidence of Malaria further confirmed that CR1 played an essential role in the resistance of Malaria in the ancient "Baiyue" tribes.
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Affiliation(s)
- Shuhan Duan
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yan Liu
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Xiucheng Jiang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Haoran Su
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Yan Cai
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Yijiu Zhang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Junbao Yang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Guanglin He
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637007, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China
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Ipsen EØ, Dalvad J, Koch A, Bundgaad JS. Overview of health research in Greenland from 2001 to 2020. Scand J Public Health 2024:14034948241245184. [PMID: 38600438 DOI: 10.1177/14034948241245184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
AIMS Health research in Greenlanders is challenged by a small population, few dedicated researchers and limited funding. Some research areas have proven impactful but gaps in knowledge are unknown. We aimed to quantify health research in Greenland, providing insights for researchers, policymakers and funding agencies to guide future research. METHODS We identified all peer-reviewed health research publications with the term 'Greenland***' in title or abstract from 2001 to 2020 through the platform entitled The Lens. Our bibliometric analysis included number of publications, publication rate, research types, research topics, citations and author affiliations, as well as funding. RESULTS From 2001 to 2020, a total of 640 health research publications concerning Greenland or Greenlanders were identified, with an average annual publication growth rate of 2.9%. The major health research topics studied in Greenland were infectious diseases, environmental health and general health. Several research fields, including rheumatology, nephrology and dermatology among others proved understudied at best. Three Danish universities contributed with 33% of all publications, with the International Journal of Circumpolar Health (N=176, 28%) being the top journal destination. The most productive author had 119 article authorships during the period. CONCLUSION During the past 20 years, Greenland's annual publication rate has been steadily increasing, with an average of 32 articles about health research published each year, which is a higher publication rate than world average. The health research in Greenland is primarily epidemiologic with infectious disease being the most studied research area. Most publications were anchored in Denmark and centred around a few highly productive authors.
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Affiliation(s)
- Emil Ø Ipsen
- Department of Internal Medicine, Nuuk, Greenland
| | - Jos Dalvad
- Department of Internal Medicine, Nuuk, Greenland
| | - Anders Koch
- Department of Internal Medicine, Nuuk, Greenland
- Department of Infectious Diseases, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Denmark
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- Ilisimatusarfik, University of Greenland, Nuuk, Greenland
| | - Johan S Bundgaad
- Queen Ingrid Primary Health Care Centre, Nuuk, Greenland
- Department of Cardiology, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Denmark
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Sun Q, Wang M, Lu T, Duan S, Liu Y, Chen J, Wang Z, Sun Y, Li X, Wang S, Lu L, Hu L, Yun L, Yang J, Yan J, Nie S, Zhu Y, Chen G, Wang CC, Liu C, He G, Tang R. Differentiated adaptative genetic architecture and language-related demographical history in South China inferred from 619 genomes from 56 populations. BMC Biol 2024; 22:55. [PMID: 38448908 PMCID: PMC10918984 DOI: 10.1186/s12915-024-01854-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND The underrepresentation of human genomic resources from Southern Chinese populations limited their health equality in the precision medicine era and complete understanding of their genetic formation, admixture, and adaptive features. Besides, linguistical and genetic evidence supported the controversial hypothesis of their origin processes. One hotspot case was from the Chinese Guangxi Pinghua Han people (GPH), whose language was significantly similar to Southern Chinese dialects but whose uniparental gene pool was phylogenetically associated with the indigenous Tai-Kadai (TK) people. Here, we analyzed genome-wide SNP data in 619 people from four language families and 56 geographically different populations, in which 261 people from 21 geographically distinct populations were first reported here. RESULTS We identified significant population stratification among ethnolinguistically diverse Guangxi populations, suggesting their differentiated genetic origin and admixture processes. GPH shared more alleles related to Zhuang than Southern Han Chinese but received more northern ancestry relative to Zhuang. Admixture models and estimates of genetic distances showed that GPH had a close genetic relationship with geographically close TK compared to Northern Han Chinese, supporting their admixture origin hypothesis. Further admixture time and demographic history reconstruction supported GPH was formed via admixture between Northern Han Chinese and Southern TK people. We identified robust signatures associated with lipid metabolisms, such as fatty acid desaturases (FADS) and medically relevant loci associated with Mendelian disorder (GJB2) and complex diseases. We also explored the shared and unique selection signatures of ethnically different but linguistically related Guangxi lineages and found some shared signals related to immune and malaria resistance. CONCLUSIONS Our genetic analysis illuminated the language-related fine-scale genetic structure and provided robust genetic evidence to support the admixture hypothesis that can explain the pattern of observed genetic diversity and formation of GPH. This work presented one comprehensive analysis focused on the population history and demographical adaptative process, which provided genetic evidence for personal health management and disease risk prediction models from Guangxi people. Further large-scale whole-genome sequencing projects would provide the entire landscape of southern Chinese genomic diversity and their contributions to human health and disease traits.
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Affiliation(s)
- Qiuxia Sun
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Tao Lu
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Shaomei Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Liuyi Lu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, 637100, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yanfeng Zhu
- Department of Public Health, Chengdu Medical College, Chengdu, 610500, China
| | - Gang Chen
- Hunan Key Lab of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Chuan-Chao Wang
- State Key Laboratory of Cellular Stress Biology, National Institute for Data Science in Health and Medicine, School of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Forensic Science Institute, Guangzhou, 510055, China
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China.
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Del Brutto OH, Mera RM, Rundek T, Del Brutto VJ, Khasiyev F, Rumbea DA, Elkind MSV, Gutierrez J. Dietary oily fish intake is inversely associated with moderate-to-severe intracranial artery stenosis in older adults of indigenous Ecuadorian ancestry. Atherosclerosis 2024; 390:117456. [PMID: 38262274 DOI: 10.1016/j.atherosclerosis.2024.117456] [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: 10/23/2023] [Revised: 12/14/2023] [Accepted: 01/08/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND AND AIMS Information on the association between dietary oily fish intake and intracranial atherosclerosis is limited and contradictory. Inconsistencies might be in part related to heterogeneous designs and differences in race/ethnicity of study populations. We aim to assess whether oily fish intake is inversely associated with intracranial artery stenosis (ICAS) in frequent fish consumers of indigenous ancestry living in coastal Ecuador. METHODS The study included 384 participants aged ≥60 years enrolled in the Atahualpa Project Cohort. Dietary oily fish intake was quantified systematically via validated surveys and all participants received a time-of-flight MRA of intracranial vessels. Poisson regression models, adjusted for demographics, level of education, traditional risk factors and severe tooth loss, were fitted to assess the association between amounts of oily fish intake and the number of intracranial arteries with moderate-to-severe (≥50 %) stenosis. RESULTS Participants had a mean age of 67.7 ± 7 years, and 56 % were women. The mean oily fish intake was 8.9 ± 5.2 servings/week; 283 (74 %) participants consumed ≥5.2 servings/week (2nd to 4th quartiles of fish intake). Forty-three (11 %) participants had at least one major intracranial artery with moderate-to-severe stenosis. Both univariate and multivariate models showed a significant inverse association between consumption of oily fish in the 2nd to 4th quartiles and ≥50 % stenosis in at least one artery (β: 0.46; 95 % C.I.: 0.27-077, and β: 0.52; 95 % C.I.: 0.30-0.90, respectively). CONCLUSIONS Consumption of more than five oily fish servings/week is associated with lower prevalence of moderate-to-severe ICAS in indigenous Ecuadorians.
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Affiliation(s)
- Oscar H Del Brutto
- School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón, Ecuador.
| | - Robertino M Mera
- Biostatistics/Epidemiology, Freenome, Inc., South San Francisco, CA, USA
| | - Tatjana Rundek
- Evelyn McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Victor J Del Brutto
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Fl, USA
| | | | - Denisse A Rumbea
- School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón, Ecuador
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - José Gutierrez
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
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13
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Folkertsma R, Charbonnel N, Henttonen H, Heroldová M, Huitu O, Kotlík P, Manzo E, Paijmans JLA, Plantard O, Sándor AD, Hofreiter M, Eccard JA. Genomic signatures of climate adaptation in bank voles. Ecol Evol 2024; 14:e10886. [PMID: 38455148 PMCID: PMC10918726 DOI: 10.1002/ece3.10886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/17/2023] [Accepted: 12/18/2023] [Indexed: 03/09/2024] Open
Abstract
Evidence for divergent selection and adaptive variation across the landscape can provide insight into a species' ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect the footprints of climate-mediated selection in natural populations. Here, we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (Clethrionomys glareolus) distributed across Europe. To identify the loci subject to selection associated with climate variation, we applied multiple genotype-environment association methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis, we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation influenced by local climate in bank voles.
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Affiliation(s)
- Remco Folkertsma
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Comparative Cognition Unit, Messerli Research InstituteUniversity of Veterinary Medicine ViennaViennaAustria
| | | | | | - Marta Heroldová
- Department of Forest Ecology, FFWTMendel University in BrnoBrnoCzech Republic
| | - Otso Huitu
- Natural Resources Institute FinlandHelsinkiFinland
| | - Petr Kotlík
- Laboratory of Molecular Ecology, Institute of Animal Physiology and GeneticsCzech Academy of SciencesLiběchovCzech Republic
| | - Emiliano Manzo
- Fondazione Ethoikos, Convento dell'OsservanzaRadicondoliItaly
| | - Johanna L. A. Paijmans
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Present address:
Evolutionary Ecology Group, Department of ZoologyUniversity of CambridgeCambridgeUK
| | | | - Attila D. Sándor
- HUN‐RENClimate Change: New Blood‐Sucking Parasites and Vector‐Borne Pathogens Research GroupBudapestHungary
- Department of Parasitology and ZoologyUniversity of Veterinary MedicineBudapestHungary
- Department of Parasitology and Parasitic DiseasesUniversity of Agricultural Sciences and Veterinary MedicineCluj‐NapocaRomania
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
| | - Jana A. Eccard
- Animal Ecology, Institute for Biochemistry and Biology, Faculty of ScienceBerlin‐Brandenburg Institute for Biodiversity ResearchUniversity of PotsdamPotsdamGermany
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14
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Zeberg H, Jakobsson M, Pääbo S. The genetic changes that shaped Neandertals, Denisovans, and modern humans. Cell 2024; 187:1047-1058. [PMID: 38367615 DOI: 10.1016/j.cell.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/20/2023] [Accepted: 12/20/2023] [Indexed: 02/19/2024]
Abstract
Modern human ancestors diverged from the ancestors of Neandertals and Denisovans about 600,000 years ago. Until about 40,000 years ago, these three groups existed in parallel, occasionally met, and exchanged genes. A critical question is why modern humans, and not the other two groups, survived, became numerous, and developed complex cultures. Here, we discuss genetic differences among the groups and some of their functional consequences. As more present-day genome sequences become available from diverse groups, we predict that very few, if any, differences will distinguish all modern humans from all Neandertals and Denisovans. We propose that the genetic basis of what constitutes a modern human is best thought of as a combination of genetic features, where perhaps none of them is present in each and every present-day individual.
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Affiliation(s)
- Hugo Zeberg
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Department of Physiology and Pharmacology, Karolinska Institutet, 17165 Stockholm, Sweden.
| | - Mattias Jakobsson
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Okinawa Institute of Science and Technology, Onnason 904-0495, Okinawa, Japan.
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15
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Padilla-Iglesias C, Derkx I. Hunter-gatherer genetics research: Importance and avenues. EVOLUTIONARY HUMAN SCIENCES 2024; 6:e15. [PMID: 38516374 PMCID: PMC10955370 DOI: 10.1017/ehs.2024.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/17/2024] [Accepted: 02/02/2024] [Indexed: 03/23/2024] Open
Abstract
Major developments in the field of genetics in the past few decades have revolutionised notions of what it means to be human. Although currently only a few populations around the world practise a hunting and gathering lifestyle, this mode of subsistence has characterised members of our species since its very origins and allowed us to migrate across the planet. Therefore, the geographical distribution of hunter-gatherer populations, dependence on local ecosystems and connections to past populations and neighbouring groups have provided unique insights into our evolutionary origins. However, given the vulnerable status of hunter-gatherers worldwide, the development of the field of anthropological genetics requires that we reevaluate how we conduct research with these communities. Here, we review how the inclusion of hunter-gatherer populations in genetics studies has advanced our understanding of human origins, ancient population migrations and interactions as well as phenotypic adaptations and adaptability to different environments, and the important scientific and medical applications of these advancements. At the same time, we highlight the necessity to address yet unresolved questions and identify areas in which the field may benefit from improvements.
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Affiliation(s)
| | - Inez Derkx
- Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
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16
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Jelenkovic A, Ibáñez-Zamacona ME, Rebato E. Human adaptations to diet: Biological and cultural coevolution. ADVANCES IN GENETICS 2024; 111:117-147. [PMID: 38908898 DOI: 10.1016/bs.adgen.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
Modern humans evolved in Africa some 200,000 years ago, and since then, human populations have expanded and diversified to occupy a broad range of habitats and use different subsistence modes. This has resulted in different adaptations, such as differential responses to diseases and different abilities to digest or tolerate certain foods. The shift from a subsistence strategy based on hunting and gathering during the Palaeolithic to a lifestyle based on the consumption of domesticated animals and plants in the Neolithic can be considered one of the most important dietary transitions of Homo sapiens. In this text, we review four examples of gene-culture coevolution: (i) the persistence of the enzyme lactase after weaning, which allows the digestion of milk in adulthood, related to the emergence of dairy farming during the Neolithic; (ii) the population differences in alcohol susceptibility, in particular the ethanol intolerance of Asian populations due to the increased accumulation of the toxic acetaldehyde, related to the spread of rice domestication; (iii) the maintenance of gluten intolerance (celiac disease) with the subsequent reduced fitness of its sufferers, related to the emergence of agriculture and (iv) the considerable variation in the biosynthetic pathway of long-chain polyunsaturated fatty acids in native populations with extreme diets.
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Affiliation(s)
- Aline Jelenkovic
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
| | - María Eugenia Ibáñez-Zamacona
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain
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17
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Senftleber NK, Andersen MK, Jørsboe E, Stæger FF, Nøhr AK, Garcia-Erill G, Meisner J, Santander CG, Balboa RF, Gilly A, Bjerregaard P, Larsen CVL, Grarup N, Jørgensen ME, Zeggini E, Moltke I, Hansen T, Albrechtsen A. GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9 association signal. Eur J Hum Genet 2024; 32:215-223. [PMID: 37903942 PMCID: PMC10853193 DOI: 10.1038/s41431-023-01485-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/14/2023] [Accepted: 10/11/2023] [Indexed: 11/01/2023] Open
Abstract
Perturbation of lipid homoeostasis is a major risk factor for cardiovascular disease (CVD), the leading cause of death worldwide. We aimed to identify genetic variants affecting lipid levels, and thereby risk of CVD, in Greenlanders. Genome-wide association studies (GWAS) of six blood lipids, triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, as well as apolipoproteins A1 and B, were performed in up to 4473 Greenlanders. For genome-wide significant variants, we also tested for associations with additional traits, including CVD events. We identified 11 genome-wide significant loci associated with lipid traits. Most of these loci were already known in Europeans, however, we found a potential causal variant near PCSK9 (rs12117661), which was independent of the known PCSK9 loss-of-function variant (rs11491147). rs12117661 was associated with lower LDL-cholesterol (βSD(SE) = -0.22 (0.03), p = 6.5 × 10-12) and total cholesterol (-0.17 (0.03), p = 1.1 × 10-8) in the Greenlandic study population. Similar associations were observed in Europeans from the UK Biobank, where the variant was also associated with a lower risk of CVD outcomes. Moreover, rs12117661 was a top eQTL for PCSK9 across tissues in European data from the GTEx portal, and was located in a predicted regulatory element, supporting a possible causal impact on PCSK9 expression. Combined, the 11 GWAS signals explained up to 16.3% of the variance of the lipid traits. This suggests that the genetic architecture of lipid levels in Greenlanders is different from Europeans, with fewer variants explaining the variance.
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Affiliation(s)
- Ninna Karsbæk Senftleber
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Jørsboe
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Frederik Filip Stæger
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Anne Krogh Nøhr
- Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark
| | - Genis Garcia-Erill
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Meisner
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cindy G Santander
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Renzo F Balboa
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Peter Bjerregaard
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Christina Viskum Lytken Larsen
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Greenland Center for Health Research, Institute for Health and Nature, University of Greenland, Nuuk, Greenland
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marit Eika Jørgensen
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
- Centre for Public Health in Greenland, National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
- Steno Diabetes Center Greenland, Nuuk, Greenland
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Ida Moltke
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Anders Albrechtsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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18
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Gao Z. Unveiling recent and ongoing adaptive selection in human populations. PLoS Biol 2024; 22:e3002469. [PMID: 38236800 PMCID: PMC10796035 DOI: 10.1371/journal.pbio.3002469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024] Open
Abstract
Genome-wide scans for signals of selection have become a routine part of the analysis of population genomic variation datasets and have resulted in compelling evidence of selection during recent human evolution. This Essay spotlights methodological innovations that have enabled the detection of selection over very recent timescales, even in contemporary human populations. By harnessing large-scale genomic and phenotypic datasets, these new methods use different strategies to uncover connections between genotype, phenotype, and fitness. This Essay outlines the rationale and key findings of each strategy, discusses challenges in interpretation, and describes opportunities to improve detection and understanding of ongoing selection in human populations.
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Affiliation(s)
- Ziyue Gao
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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19
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Currie TE, Borgerhoff Mulder M, Fogarty L, Schlüter M, Folke C, Haider LJ, Caniglia G, Tavoni A, Jansen REV, Jørgensen PS, Waring TM. Integrating evolutionary theory and social-ecological systems research to address the sustainability challenges of the Anthropocene. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220262. [PMID: 37952618 PMCID: PMC10645068 DOI: 10.1098/rstb.2022.0262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/19/2023] [Indexed: 11/14/2023] Open
Abstract
The rapid, human-induced changes in the Earth system during the Anthropocene present humanity with critical sustainability challenges. Social-ecological systems (SES) research provides multiple approaches for understanding the complex interactions between humans, social systems, and environments and how we might direct them towards healthier and more resilient futures. However, general theories of SES change have yet to be fully developed. Formal evolutionary theory has been applied as a dynamic theory of change of complex phenomena in biology and the social sciences, but rarely in SES research. In this paper, we explore the connections between both fields, hoping to foster collaboration. After sketching out the distinct intellectual traditions of SES research and evolutionary theory, we map some of their terminological and theoretical connections. We then provide examples of how evolutionary theory might be incorporated into SES research through the use of systems mapping to identify evolutionary processes in SES, the application of concepts from evolutionary developmental biology to understand the connections between systems changes and evolutionary changes, and how evolutionary thinking may help design interventions for beneficial change. Integrating evolutionary theory and SES research can lead to a better understanding of SES changes and positive interventions for a more sustainable Anthropocene. This article is part of the theme issue 'Evolution and sustainability: gathering the strands for an Anthropocene synthesis'.
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Affiliation(s)
- Thomas E. Currie
- Human Behaviour and Cultural Evolution Group, Centre for Ecology and Conservation, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK
| | - Monique Borgerhoff Mulder
- Department of Anthropology, University of California Davis, Davis, CA 95616, USA
- Santa Fe Institute, Santa Fe, NM 87506, USA
- Max-Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Laurel Fogarty
- Max-Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Maja Schlüter
- Stockholm Resilience Centre, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Carl Folke
- Beijer Institute of Ecological Economics, The Royal Swedish Academy of Sciences, SE-104 05 Stockholm, Sweden
| | - L. Jamila Haider
- Stockholm Resilience Centre, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Guido Caniglia
- Konrad Lorenz Institute for Evolution and Cognition Research, A-3400 Klosterneuburg, Austria
| | - Alessandro Tavoni
- Department of Economics, University of Bologna, 40126 Bologna, Italy
- Grantham Research Institute on Climate Change and the Environment, London School of Economics, London WC2A 2AE, UK
| | - Raf E. V. Jansen
- Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, SE-104 05 Stockholm, Sweden
| | - Peter Søgaard Jørgensen
- Stockholm Resilience Centre, Stockholm University, SE-106 91 Stockholm, Sweden
- Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, SE-104 05 Stockholm, Sweden
| | - Timothy M. Waring
- Mitchell Center for Sustainability Solutions and School of Economics, University of Maine, Orono, ME 04469-5710, USA
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20
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Kawai Y, Watanabe Y, Omae Y, Miyahara R, Khor SS, Noiri E, Kitajima K, Shimanuki H, Gatanaga H, Hata K, Hattori K, Iida A, Ishibashi-Ueda H, Kaname T, Kanto T, Matsumura R, Miyo K, Noguchi M, Ozaki K, Sugiyama M, Takahashi A, Tokuda H, Tomita T, Umezawa A, Watanabe H, Yoshida S, Goto YI, Maruoka Y, Matsubara Y, Niida S, Mizokami M, Tokunaga K. Exploring the genetic diversity of the Japanese population: Insights from a large-scale whole genome sequencing analysis. PLoS Genet 2023; 19:e1010625. [PMID: 38060463 PMCID: PMC10703243 DOI: 10.1371/journal.pgen.1010625] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 10/24/2023] [Indexed: 12/18/2023] Open
Abstract
The Japanese archipelago is a terminal location for human migration, and the contemporary Japanese people represent a unique population whose genomic diversity has been shaped by multiple migrations from Eurasia. We analyzed the genomic characteristics that define the genetic makeup of the modern Japanese population from a population genetics perspective from the genomic data of 9,287 samples obtained by high-coverage whole-genome sequencing (WGS) by the National Center Biobank Network. The dataset comprised populations from the Ryukyu Islands and other parts of the Japanese archipelago (Hondo). The Hondo population underwent two episodes of population decline during the Jomon period, corresponding to the Late Neolithic, and the Edo period, corresponding to the Early Modern era, while the Ryukyu population experienced a population decline during the shell midden period of the Late Neolithic in this region. Haplotype analysis suggested increased allele frequencies for genes related to alcohol and fatty acid metabolism, which were reported as loci that had experienced positive natural selection. Two genes related to alcohol metabolism were found to be 12,500 years out of phase with the time when they began to increase in the allele frequency; this finding indicates that the genomic diversity of Japanese people has been shaped by events closely related to agriculture and food production.
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Affiliation(s)
- Yosuke Kawai
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Yusuke Watanabe
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Yosuke Omae
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
| | - Reiko Miyahara
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
| | - Seik-Soon Khor
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Eisei Noiri
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
| | - Koji Kitajima
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
- Department of Data Science Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Hideyuki Shimanuki
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
- Department of Data Science Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Hiroyuki Gatanaga
- AIDS Clinical Center, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Kenichiro Hata
- Department of Maternal-Fetal Biology, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Kotaro Hattori
- Department of Bioresources, Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Aritoshi Iida
- Department of Clinical Genome Analysis, Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | | | - Tadashi Kaname
- Department of Genome Medicine, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Tatsuya Kanto
- Department of Liver Disease, Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan
| | - Ryo Matsumura
- Department of Bioresources, Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kengo Miyo
- Center for Medical Informatics Intelligence, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Michio Noguchi
- NCVC Biobank, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Masaya Sugiyama
- Department of Viral Pathogenesis and Controls, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Ayako Takahashi
- NCVC Biobank, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Haruhiko Tokuda
- Core Facility Administration, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Clinical Laboratory, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Tsutomu Tomita
- NCVC Biobank, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Akihiro Umezawa
- Center for Regenerative Medicine, Research Institute, National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Hiroshi Watanabe
- Core Facility Administration, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Innovation Center for Translational Research, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Sumiko Yoshida
- Department of Bioresources, Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Yu-ichi Goto
- Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Yutaka Maruoka
- Department of Oral and Maxillofacial Surgery, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Yoichi Matsubara
- National Center for Child Health and Development, Setagaya-ku, Tokyo, Japan
| | - Shumpei Niida
- Core Facility Administration, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Masashi Mizokami
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
- Central Biobank, National Center Biobank Network, Shinjuku-ku, Tokyo, Japan
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21
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Scott GR, Navega D, Vlemincq-Mendieta T, Dern LL, O'Rourke DH, Hlusko LJ, Hoffecker JF. Peopling of the Americas: A new approach to assessing dental morphological variation in Asian and Native American populations. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023. [PMID: 38018312 DOI: 10.1002/ajpa.24878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 10/24/2023] [Accepted: 11/03/2023] [Indexed: 11/30/2023]
Abstract
OBJECTIVES Through biodistance analyses, anthropologists have used dental morphology to elucidate how people moved into and throughout the Americas. Here, we apply a method that focuses on individuals rather than sample frequencies through the application rASUDAS2, based on a naïve Bayes' algorithm. MATERIALS AND METHODS Using the database of C.G. Turner II, we calculated the probability that an individual could be assigned to one of seven biogeographic groups (American Arctic, North & South America, East Asia, Southeast Asia & Polynesia, Australo-Melanesia, Western Eurasia, & Sub-Saharan Africa) through rASUDAS2. The frequency of classifications for each biogeographic group was determined for 1418 individuals from six regions across Asia and the Americas. RESULTS Southeast Asians show mixed assignments but rarely to American Arctic or "American Indian." East Asians are assigned to East Asia half the time while 30% are assigned as Native American. People from the American Arctic and North & South America are assigned to Arctic America or non-Arctic America 75%-80% of the time, with 10%-15% classified as East Asian. DISCUSSION All Native American groups have a similar degree of morphological affinity to East Asia, as 10%-15% are classified as East Asian. East Asians are classified as Native American in 30% of cases. Individuals in the Western Hemisphere are decreasingly classified as Arctic the farther south they are located. Equivalent levels of classification as East Asian across all Native American groups suggests one divergence between East Asians and the population ancestral to all Native Americans. Non-arctic Native American groups are derived from the Arctic population, which represents the Native American founder group.
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Affiliation(s)
- G Richard Scott
- Department of Anthropology, University of Nevada Reno, Reno, Nevada, USA
| | - David Navega
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | | | - Laresa L Dern
- Department of Anthropology, University of Nevada Reno, Reno, Nevada, USA
| | - Dennis H O'Rourke
- Department of Anthropology, University of Kansas, Lawrence, Kansas, USA
| | | | - John F Hoffecker
- Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
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22
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Huang C, Zhang Y, Liu Y, Liu JX, Hu YM, Tang WW, Wang TD, Huang XB. Prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China. Front Public Health 2023; 11:1117897. [PMID: 38026354 PMCID: PMC10663276 DOI: 10.3389/fpubh.2023.1117897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 10/10/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives This study aimed to investigate the prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China. Methods From September 2013 to March 2014, a multi-stage sampling was conducted, and a total of 10,981 people aged 35-79 years living in Chengdu and Chongqing were included. More than 30 investigators were trained in data collection, including questionnaire, anthropometric measurements and blood biomarkers testing. Abdominal obesity was defined as waist circumference ≥ 90 cm for men and ≥ 85 cm for women. Results The prevalence of abdominal obesity was 30.7%, 24.8% in males and 33.9% in females (p < 0.001). The prevalence of abdominal obesity increased with BMI. The prevalence of abdominal obesity was positively correlated with age, sex, marriage, alcohol consumption, hypertension and diabetes, and negatively correlated with high education level, smoking and Physical activity. Conclusion The prevalence of abdominal obesity among adults aged 35-79 in urban communities in southwest China is high, which is close to that of adults in urban communities in China. We should strengthen health education among the population, adopt healthy diet, maintain moderate physical activity and other measures to curb the prevalence of abdominal obesity in urban communities in southwest China.
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Affiliation(s)
- Chuan Huang
- Department of Cardiology, The Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Ying Zhang
- Department of Neurology, The Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Ya Liu
- Department of Endocrinology and Metabolism, Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jian-Xiong Liu
- Department of Cardiology, The Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Yong-Mei Hu
- Department of Cardiology, The Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Wei-Wei Tang
- School of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Provincial Institute of Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Tzung-Dau Wang
- Department of Internal Medicine, Cardiovascular Center and Division of Cardiology, National Taiwan University Hospital, Taipei City, Taiwan, China
| | - Xiao-bo Huang
- Department of Cardiology, The Second People’s Hospital of Chengdu, Chengdu, Sichuan, China
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23
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Ballinger MA, Mack KL, Durkin SM, Riddell EA, Nachman MW. Environmentally robust cis-regulatory changes underlie rapid climatic adaptation. Proc Natl Acad Sci U S A 2023; 120:e2214614120. [PMID: 37725649 PMCID: PMC10523592 DOI: 10.1073/pnas.2214614120] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 07/26/2023] [Indexed: 09/21/2023] Open
Abstract
Changes in gene expression are thought to play a major role in adaptive evolution. While it is known that gene expression is highly sensitive to the environment, very few studies have determined the influence of genetic and environmental effects on adaptive gene expression differences in natural populations. Here, we utilize allele-specific expression to characterize cis and trans gene regulatory divergence in temperate and tropical house mice in two metabolic tissues under two thermal conditions. First, we show that gene expression divergence is pervasive between populations and across thermal conditions, with roughly 5 to 10% of genes exhibiting genotype-by-environment interactions. Second, we found that most expression divergence was due to cis-regulatory changes that were stable across temperatures. In contrast, patterns of expression plasticity were largely attributable to trans-effects, which showed greater sensitivity to temperature. Nonetheless, we found a small subset of temperature-dependent cis-regulatory changes, thereby identifying loci underlying expression plasticity. Finally, we performed scans for selection in wild house mice to identify genomic signatures of rapid adaptation. Genomic outliers were enriched in genes with evidence for cis-regulatory divergence. Notably, these genes were associated with phenotypes that affected body weight and metabolism, suggesting that cis-regulatory changes are a possible mechanism for adaptive body size evolution between populations. Our results show that gene expression plasticity, largely controlled in trans, may facilitate the colonization of new environments, but that evolved changes in gene expression are largely controlled in cis, illustrating the genetic and nongenetic mechanisms underlying the establishment of populations in new environments.
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Affiliation(s)
- Mallory A. Ballinger
- Museum of Vertebrate Zoology, University of California, Berkeley, CA94720
- Department of Integrative Biology, University of California, Berkeley, CA94720
- Department of Biology, Utah State University, Logan, UT84322
| | - Katya L. Mack
- Department of Biology, Stanford University, Stanford, CA94305
| | - Sylvia M. Durkin
- Museum of Vertebrate Zoology, University of California, Berkeley, CA94720
- Department of Integrative Biology, University of California, Berkeley, CA94720
| | - Eric A. Riddell
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA50011
| | - Michael W. Nachman
- Museum of Vertebrate Zoology, University of California, Berkeley, CA94720
- Department of Integrative Biology, University of California, Berkeley, CA94720
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24
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Jaramillo-Ospina AM, Roman GT, Rodrigues DM, Patel S, Pokhvisneva I, Chakr VG, Levitan RD, Meaney MJ, Silveira PP. Omega-3 polygenic score protects against altered eating behavior in intrauterine growth-restricted children. Pediatr Res 2023; 94:1225-1234. [PMID: 37142650 DOI: 10.1038/s41390-023-02609-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/20/2023] [Accepted: 03/30/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Alterations in eating behavior are common in infants with intrauterine growth restriction (IUGR); omega-3 polyunsaturated fatty acids (PUFA) could provide protection. We hypothesized that those born IUGR with a genetic background associated with increased production of omega-3-PUFA will have more adaptive eating behaviors during childhood. METHODS IUGR/non-IUGR classified infants from MAVAN and GUSTO cohorts were included at the age of 4 and 5 years, respectively. Their parents reported child's eating behaviors using the child eating behavior questionnaire-CEBQ. Based on the GWAS on serum PUFA (Coltell 2020), three polygenic scores were calculated. RESULTS Significant interactions between IUGR and polygenic score for omega-3-PUFA on emotional overeating (β = -0.15, P = 0.049 GUSTO) and between IUGR and polygenic score for omega-6/omega-3-PUFA on desire to drink (β = 0.35, P = 0.044 MAVAN), pro-intake/anti-intake ratio (β = 0.10, P = 0.042 MAVAN), and emotional overeating (β = 0.16, P = 0.043 GUSTO) were found. Only in IUGR, a higher polygenic score for omega-3-PUFA associated with lower emotional overeating, while a higher polygenic score for omega-6/omega-3-PUFA ratio was associated with a higher desire to drink, emotional overeating, and pro-intake/anti-intake. CONCLUSION Only in IUGR, the genetic background for higher omega-3-PUFA is associated with protection against altered eating behavior, while the genetic score for a higher omega-6/omega-3-PUFA ratio is associated with altered eating behavior. IMPACT A genetic background related to a higher polygenic score for omega-3 PUFA protected infants born IUGR against eating behavior alterations, while a higher polygenic score for omega-6/omega-3 PUFA ratio increased the risk of having eating behavior alterations only in infants born IUGR, irrespective of their adiposity in childhood. Genetic individual differences modify the effect of being born IUGR on eating outcomes, increasing the vulnerability/resilience to eating disorders in IUGR group and likely contributing to their risk for developing metabolic diseases later in life.
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Affiliation(s)
| | - Gabriel T Roman
- Programa de Residência Médica em Medicina Intensiva Pediátrica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Danitsa M Rodrigues
- Graduate Program in Neurosciences, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Valentina G Chakr
- Departamento de Pediatria, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Robert D Levitan
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
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25
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Konner M, Eaton SB. Hunter-gatherer diets and activity as a model for health promotion: Challenges, responses, and confirmations. Evol Anthropol 2023; 32:206-222. [PMID: 37417918 DOI: 10.1002/evan.21987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 07/27/2022] [Accepted: 04/17/2023] [Indexed: 07/08/2023]
Abstract
Beginning in 1985, we and others presented estimates of hunter-gatherer (and ultimately ancestral) diet and physical activity, hoping to provide a model for health promotion. The Hunter-Gatherer Model was designed to offset the apparent mismatch between our genes and the current Western-type lifestyle, a mismatch that arguably affects prevalence of many chronic degenerative diseases. The effort has always been controversial and subject to both scientific and popular critiques. The present article (1) addresses eight such challenges, presenting for each how the model has been modified in response, or how the criticism can be rebutted; (2) reviews new epidemiological and experimental evidence (including especially randomized controlled clinical trials); and (3) shows how official recommendations put forth by governments and health authorities have converged toward the model. Such convergence suggests that evolutionary anthropology can make significant contributions to human health.
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Affiliation(s)
- Melvin Konner
- Department of Anthropology, Program in Anthropology and Human Biology, Emory University, Atlanta, Georgia, USA
| | - S Boyd Eaton
- Department of Radiology, Emory University School of Medicine (Emeritus), Adjunct Lecturer, Department of Anthropology, Emory University, Atlanta, Georgia, USA
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26
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Šarac I, Debeljak-Martačić J, Takić M, Stevanović V, Milešević J, Zeković M, Popović T, Jovanović J, Vidović NK. Associations of fatty acids composition and estimated desaturase activities in erythrocyte phospholipids with biochemical and clinical indicators of cardiometabolic risk in non-diabetic Serbian women: the role of level of adiposity. Front Nutr 2023; 10:1065578. [PMID: 37545582 PMCID: PMC10397414 DOI: 10.3389/fnut.2023.1065578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 06/26/2023] [Indexed: 08/08/2023] Open
Abstract
Introduction Fatty acids (FAs) composition and desaturase activities can be altered in different metabolic conditions, but the adiposity-independent associations with clinical and biochemical indicators of cardiometabolic risk are still unclear. This study aimed to analyze the associations of FAs composition and estimated desaturase activities with anthropometric, clinical, and biochemical cardiometabolic risk indicators in non-diabetic Serbian women, and to investigate if these associations were independent of the level of adiposity and other confounders. Methods In 76 non-diabetic, otherwise healthy Serbian women, aged 24-68 years, with or without metabolic syndrome or obesity (BMI=23.6±5.6 kg/m2), FA composition in erythrocyte phospholipids was measured by gas-liquid chromatography. Desaturase activities were estimated from product/precursor FAs ratios (D9D:16:1n-7/16:0; D6D:20:3n-6/18:2n-6; D5D:20:4n-6/20:3n-6). Correlations were made with anthropometric, biochemical (serum glucose, triacylglycerols, LDL-C, HDL-C, ALT, AST, and their ratios) and clinical (blood pressure) indicators of cardiometabolic risk. Linear regression models were performed to test the independence of these associations. Results Estimated desaturase activities and certain FAs were associated with anthropometric, clinical and biochemical indicators of cardiometabolic risk: D9D, D6D, 16:1n-7 and 20:3n-6 were directly associated, while D5D and 18:0 were inversely associated. However, the associations with clinical and biochemical indicators were not independent of the associations with the level of adiposity, since they were lost after controlling for anthropometric indices. After controlling for multiple confounders (age, postmenopausal status, education, smoking, physical activity, dietary macronutrient intakes, use of supplements, alcohol consumption), the level of adiposity was the most significant predictor of desaturase activities and aforementioned FAs levels, and mediated their association with biochemical/clinical indicators. Vice versa, desaturase activities predicted the level of adiposity, but not other components of cardiometabolic risk (if the level of adiposity was accounted). While the associations of anthropometric indices with 16:1n-7, 20:3n-6, 18:0 and D9D and D6D activities were linear, the associations with D5D activity were the inverse U-shaped. The only adiposity-independent association of FAs profiles with the indicators of cardiometabolic risk was a positive association of 20:5n-3 with ALT/AST ratio, which requires further exploration. Discussion Additional studies are needed to explore the mechanisms of the observed associations.
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Affiliation(s)
- Ivana Šarac
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jasmina Debeljak-Martačić
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Marija Takić
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Vuk Stevanović
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jelena Milešević
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Milica Zeković
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Tamara Popović
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jovica Jovanović
- Department of Occupational Health, Faculty of Medicine, University of Niš, Niš, Serbia
| | - Nevena Kardum Vidović
- Centre of Research Excellence in Nutrition and Metabolism, Group for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
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Huang L, Zhang F, Xu P, Zhou Y, Liu Y, Zhang H, Tan X, Ge X, Xu Y, Guo M, Long Y. Effect of Omega-3 Polyunsaturated Fatty Acids on Cardiovascular Outcomes in Patients with Diabetes: A Meta-analysis of Randomized Controlled Trials. Adv Nutr 2023; 14:629-636. [PMID: 37121469 PMCID: PMC10334152 DOI: 10.1016/j.advnut.2023.04.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/27/2023] [Accepted: 04/27/2023] [Indexed: 05/02/2023] Open
Abstract
The current guidelines recommend that people consume 2 or more servings of fat-rich fish per week to obtain enough omega-3 (ω-3) polyunsaturated fatty acids to prevent cardiovascular events. However, the cardiovascular benefits of ω-3 polyunsaturated fatty acids in patients with diabetes are unclear, and related large-scale trials have produced conflicting results. We aimed to perform a meta-analysis of all randomized controlled trials that attempted to assess the effects of ω-3 fatty acid supplementation on cardiovascular outcomes in patients with diabetes. In PubMed, EMBASE, and the Cochrane Library, we searched for data from all randomized controlled trials on ω-3 fatty acids and cardiovascular outcomes in patients with diabetes published before July 2022. Eight eligible studies involving 57,754 participants were ultimately included. Meta-analysis showed that ω-3 fatty acid supplementation reduces cardiovascular disease (CVD) risk in patients with diabetes (rate ration [RR] = 0.93; 95% confidence interval [CI]: 0.90, 0.97; P = 0.0009). Among them, eicosapentaenoic acid (EPA), but not EPA plus docosahexaenoic acid (DHA), significantly reduced the risk of CVD in patients with diabetes (EPA [RR = 0.81; 95% CI: 0.73, 0.90; P=0.0001]). This meta-analysis suggests that ω-3 fatty acid supplementation is an effective strategy to prevent CVD in patients with diabetes, but further well-designed, large-scale randomized controlled trials are necessary to evaluate the safety of ω-3 fatty acid supplementation, and its effect on atrial fibrillation. This study was registered with PROSPERO as CRD42022346302.
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Affiliation(s)
- Linlin Huang
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Fanjie Zhang
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Ping Xu
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yijie Zhou
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yijun Liu
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Hongdie Zhang
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Xiaozhen Tan
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Xinxu Ge
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Yong Xu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
| | - Man Guo
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
| | - Yang Long
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China; Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, China; Academician (Expert) Workstation of Sichuan Province, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
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Malyarchuk BA. The role of Beringia in human adaptation to Arctic conditions based on results of genomic studies of modern and ancient populations. Vavilovskii Zhurnal Genet Selektsii 2023; 27:373-382. [PMID: 37465192 PMCID: PMC10350865 DOI: 10.18699/vjgb-23-45] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/15/2022] [Accepted: 10/15/2022] [Indexed: 07/20/2023] Open
Abstract
The results of studies in Quaternary geology, archeology, paleoanthropology and human genetics demonstrate that the ancestors of Native Americans arrived in mid-latitude North America mainly along the Pacific Northwest Coast, but had previously inhabited the Arctic and during the last glacial maximum were in a refugium in Beringia, a land bridge connecting Eurasia and North America. The gene pool of Native Americans is represented by unique haplogroups of mitochondrial DNA and the Y chromosome, the evolutionary age of which ranges from 13 to 22 thousand years. The results of a paleogenomic analysis also show that during the last glacial maximum Beringia was populated by human groups that had arisen as a result of interaction between the most ancient Upper Paleolithic populations of Northern Eurasia and newcomer groups from East Asia. Approximately 20 thousand years ago the Beringian populations began to form, and the duration of their existence in relative isolation is estimated at about 5 thousand years. Thus, the adaptation of the Beringians to the Arctic conditions could have taken several millennia. The adaptation of Amerindian ancestors to high latitudes and cold climates is supported by genomic data showing that adaptive genetic variants in Native Americans are associated with various metabolic pathways: melanin production processes in the skin, hair and eyes, the functioning of the cardiovascular system, energy metabolism and immune response characteristics. Meanwhile, the analysis of the existing hypotheses about the selection of some genetic variants in the Beringian ancestors of the Amerindians in connection with adaptation to the Arctic conditions (for example, in the FADS, ACTN3, EDAR genes) shows the ambiguity of the testing results, which may be due to the loss of some traces of the "Beringian" adaptation in the gene pools of modern Native Americans. The most optimal strategy for further research seems to be the search for adaptive variant.
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Affiliation(s)
- B A Malyarchuk
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia N.A. Shilo North-East Interdisciplinary Scientific Research Institute, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia
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Vaill M, Kawanishi K, Varki N, Gagneux P, Varki A. Comparative physiological anthropogeny: exploring molecular underpinnings of distinctly human phenotypes. Physiol Rev 2023; 103:2171-2229. [PMID: 36603157 PMCID: PMC10151058 DOI: 10.1152/physrev.00040.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/26/2022] [Accepted: 12/28/2022] [Indexed: 01/06/2023] Open
Abstract
Anthropogeny is a classic term encompassing transdisciplinary investigations of the origins of the human species. Comparative anthropogeny is a systematic comparison of humans and other living nonhuman hominids (so-called "great apes"), aiming to identify distinctly human features in health and disease, with the overall goal of explaining human origins. We begin with a historical perspective, briefly describing how the field progressed from the earliest evolutionary insights to the current emphasis on in-depth molecular and genomic investigations of "human-specific" biology and an increased appreciation for cultural impacts on human biology. While many such genetic differences between humans and other hominids have been revealed over the last two decades, this information remains insufficient to explain the most distinctive phenotypic traits distinguishing humans from other living hominids. Here we undertake a complementary approach of "comparative physiological anthropogeny," along the lines of the preclinical medical curriculum, i.e., beginning with anatomy and considering each physiological system and in each case considering genetic and molecular components that are relevant. What is ultimately needed is a systematic comparative approach at all levels from molecular to physiological to sociocultural, building networks of related information, drawing inferences, and generating testable hypotheses. The concluding section will touch on distinctive considerations in the study of human evolution, including the importance of gene-culture interactions.
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Affiliation(s)
- Michael Vaill
- Center for Academic Research and Training in Anthropogeny, University of California, San Diego, La Jolla, California
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California
| | - Kunio Kawanishi
- Center for Academic Research and Training in Anthropogeny, University of California, San Diego, La Jolla, California
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California
- Department of Experimental Pathology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Nissi Varki
- Center for Academic Research and Training in Anthropogeny, University of California, San Diego, La Jolla, California
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California
- Department of Pathology, University of California, San Diego, La Jolla, California
| | - Pascal Gagneux
- Center for Academic Research and Training in Anthropogeny, University of California, San Diego, La Jolla, California
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California
- Department of Pathology, University of California, San Diego, La Jolla, California
| | - Ajit Varki
- Center for Academic Research and Training in Anthropogeny, University of California, San Diego, La Jolla, California
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California
- Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California
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Tobler R, Souilmi Y, Huber CD, Bean N, Turney CSM, Grey ST, Cooper A. The role of genetic selection and climatic factors in the dispersal of anatomically modern humans out of Africa. Proc Natl Acad Sci U S A 2023; 120:e2213061120. [PMID: 37220274 PMCID: PMC10235988 DOI: 10.1073/pnas.2213061120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 03/14/2023] [Indexed: 05/25/2023] Open
Abstract
The evolutionarily recent dispersal of anatomically modern humans (AMH) out of Africa (OoA) and across Eurasia provides a unique opportunity to examine the impacts of genetic selection as humans adapted to multiple new environments. Analysis of ancient Eurasian genomic datasets (~1,000 to 45,000 y old) reveals signatures of strong selection, including at least 57 hard sweeps after the initial AMH movement OoA, which have been obscured in modern populations by extensive admixture during the Holocene. The spatiotemporal patterns of these hard sweeps provide a means to reconstruct early AMH population dispersals OoA. We identify a previously unsuspected extended period of genetic adaptation lasting ~30,000 y, potentially in the Arabian Peninsula area, prior to a major Neandertal genetic introgression and subsequent rapid dispersal across Eurasia as far as Australia. Consistent functional targets of selection initiated during this period, which we term the Arabian Standstill, include loci involved in the regulation of fat storage, neural development, skin physiology, and cilia function. Similar adaptive signatures are also evident in introgressed archaic hominin loci and modern Arctic human groups, and we suggest that this signal represents selection for cold adaptation. Surprisingly, many of the candidate selected loci across these groups appear to directly interact and coordinately regulate biological processes, with a number associated with major modern diseases including the ciliopathies, metabolic syndrome, and neurodegenerative disorders. This expands the potential for ancestral human adaptation to directly impact modern diseases, providing a platform for evolutionary medicine.
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Affiliation(s)
- Raymond Tobler
- Australian Centre for Ancient DNA, The University of Adelaide, Adelaide, SA5005, Australia
| | - Yassine Souilmi
- Australian Centre for Ancient DNA, The University of Adelaide, Adelaide, SA5005, Australia
- Environment Institute, The University of Adelaide, Adelaide, SA5005, Australia
| | - Christian D. Huber
- Australian Centre for Ancient DNA, The University of Adelaide, Adelaide, SA5005, Australia
| | - Nigel Bean
- Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers, The University of Adelaide, Adelaide, SA5005, Australia
- School of Mathematical Sciences, The University of Adelaide, Adelaide, SA5005, Australia
| | - Chris S. M. Turney
- Division of Research, University of Technology Sydney, Ultimo, NSW2007, Australia
| | - Shane T. Grey
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW2052, Australia
- Transplantation Immunology Group, Translation Science Pillar, Garvan Institute of Medical Research, Darlinghurst, NSW2010, Australia
| | - Alan Cooper
- Australian Centre for Ancient DNA, The University of Adelaide, Adelaide, SA5005, Australia
- Blue Sky Genetics, Ashton, SA5137, Australia
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Sergeant S, Keith BA, Seeds MC, Legins JA, Young CB, Vitolins MZ, Chilton FH. Impact of FADS gene variation and dietary fatty acid exposure on biochemical and anthropomorphic phenotypes in a Hispanic/Latino cohort. Front Nutr 2023; 10:1111624. [PMID: 37215219 PMCID: PMC10196633 DOI: 10.3389/fnut.2023.1111624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 04/11/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction Polyunsaturated fatty acids (PUFA) and highly unsaturated fatty acid (HUFA) synthetic products and their signaling metabolites play vital roles in immunity, inflammation, and brain development/function. Frequency differences of variants within the fatty acid desaturase (FADS) gene cluster affect levels of HUFAs, their biologically active products, and numerous physiological phenotypes. Fundamental questions remain regarding the impact of this genetic variation on the health of Hispanic/Latino populations. Methods Data and biospecimens (plasma, red blood cells, buffy coat-derived DNA) from 135 participants (83.7% female) were used to assess the relationship(s) between dietary PUFA levels, a FADS haplotype tagging SNP, rs174537, and the capacity of Hispanic/Latino populations to generate HUFAs in plasma and RBC as well as its potential impact on anthropomorphic phenotypes. Results The dietary habits of the cohort showed that participant diets contained a high ratio (9.3 ± 0.2, mean ± SEM) of linoleic acid (n-6) to alpha-linolenic acid (n-3) and also contained extremely low levels of n-3 HUFAs (eicosapentaenoic acid, EPA and docosahexaenoic acid, DHA), both features of the Modern Western Diet. Compared to African and European American cohorts, the frequency of the TT rs174537 genotype was highly enriched (53% of subjects) in this Hispanic/Latino cohort and was strongly associated with lower circulating HUFA levels. For example, plasma levels of arachidonic acid (ARA: 20:4, n-6) and EPA (20:5, n-3) were 37% and 23%, respectively, lower in the TT versus the GG genotype. HUFA biosynthetic efficiency, as determined by metabolic product to precursor ratios, was highly dependent (p < 0.0001) on the rs174537 genotype (GG > GT > TT) for both circulating n-6 and n-3 HUFAs. In contrast, the RBC Omega-3 Index (EPA + DHA) was extremely low (2.89 ± 1.65, mean ± sd) in this population and independent of rs174537 genotype. Importantly, the rs174537 genotype was also related to female height with TT genotype participants being 4.5 cm shorter (p = 0.0001) than the GG + GT participants. Discussion Taken together, this study illustrates that dietary PUFA + HUFA × FADS gene- interactions place a large proportion (>50%) of Hispanic/Latino populations at high risk of a deficiency in both circulating and cellular levels of n-3 HUFAs.
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Affiliation(s)
- Susan Sergeant
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Brian A. Keith
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Michael C. Seeds
- Wake Forest Institute for Regenerative Medicine, Winston-Salem, NC, United States
| | - Jimaree A. Legins
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Caroline B. Young
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Mara Z. Vitolins
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Floyd H. Chilton
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States
- Center for Precision Nutrition and Wellness, University of Arizona, Tucson, AZ, United States
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Rundblad A, Sandoval V, Holven KB, Ordovás JM, Ulven SM. Omega-3 fatty acids and individual variability in plasma triglyceride response: A mini-review. Redox Biol 2023; 63:102730. [PMID: 37150150 PMCID: PMC10184047 DOI: 10.1016/j.redox.2023.102730] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/25/2023] [Accepted: 05/03/2023] [Indexed: 05/09/2023] Open
Abstract
Cardiovascular disease (CVD) is a leading cause of death worldwide. Supplementation with the marine omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) is associated with lower CVD risk. However, results from randomized controlled trials that examine the effect of omega-3 supplementation on CVD risk are inconsistent. This risk-reducing effect may be mediated by reducing inflammation, oxidative stress and serum triglyceride (TG) levels. However, not all individuals respond by reducing TG levels after omega-3 supplementation. This inter-individual variability in TG response to omega-3 supplementation is not fully understood. Hence, we aim to review the evidence for how interactions between omega-3 fatty acid supplementation and genetic variants, epigenetic and gene expression profiling, gut microbiota and habitual intake of omega-3 fatty acids can explain why the TG response differs between individuals. This may contribute to understanding the current controversies and play a role in defining future personalized guidelines to prevent CVD.
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Affiliation(s)
- Amanda Rundblad
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O Box 1046 Blindern, 0317, Oslo, Norway
| | - Viviana Sandoval
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O Box 1046 Blindern, 0317, Oslo, Norway; Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Gral. Lagos 1025, 5110693, Valdivia, Chile
| | - Kirsten B Holven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O Box 1046 Blindern, 0317, Oslo, Norway; Norwegian National Advisory Unit on Familial Hypercholesterolemia, Oslo University Hospital, Norway
| | - José M Ordovás
- Nutrition and Genomics Laboratory, USDA ARS, JM-USDA Human Research Center on Aging at Tufts University, Boston, MA, USA; Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Stine M Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, P.O Box 1046 Blindern, 0317, Oslo, Norway.
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Mathieson I, Day FR, Barban N, Tropf FC, Brazel DM, Vaez A, van Zuydam N, Bitarello BD, Gardner EJ, Akimova ET, Azad A, Bergmann S, Bielak LF, Boomsma DI, Bosak K, Brumat M, Buring JE, Cesarini D, Chasman DI, Chavarro JE, Cocca M, Concas MP, Davey Smith G, Davies G, Deary IJ, Esko T, Faul JD, Franco O, Ganna A, Gaskins AJ, Gelemanovic A, de Geus EJC, Gieger C, Girotto G, Gopinath B, Grabe HJ, Gunderson EP, Hayward C, He C, van Heemst D, Hill WD, Hoffmann ER, Homuth G, Hottenga JJ, Huang H, Hyppӧnen E, Ikram MA, Jansen R, Johannesson M, Kamali Z, Kardia SLR, Kavousi M, Kifley A, Kiiskinen T, Kraft P, Kühnel B, Langenberg C, Liew G, Lind PA, Luan J, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Mbarek H, McCarthy MI, McMahon G, Medland SE, Meitinger T, Metspalu A, Mihailov E, Milani L, Missmer SA, Mitchell P, Møllegaard S, Mook-Kanamori DO, Morgan A, van der Most PJ, de Mutsert R, Nauck M, Nolte IM, Noordam R, Penninx BWJH, Peters A, Peyser PA, Polašek O, Power C, Pribisalic A, Redmond P, Rich-Edwards JW, Ridker PM, Rietveld CA, Ring SM, Rose LM, Rueedi R, Shukla V, Smith JA, Stankovic S, Stefánsson K, Stöckl D, Strauch K, Swertz MA, Teumer A, Thorleifsson G, Thorsteinsdottir U, Thurik AR, Timpson NJ, Turman C, Uitterlinden AG, Waldenberger M, Wareham NJ, Weir DR, Willemsen G, Zhao JH, Zhao W, Zhao Y, Snieder H, den Hoed M, Ong KK, Mills MC, Perry JRB. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus. Nat Hum Behav 2023; 7:790-801. [PMID: 36864135 DOI: 10.1038/s41562-023-01528-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 01/12/2023] [Indexed: 03/04/2023]
Abstract
Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success.
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Affiliation(s)
- Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Felix R Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicola Barban
- Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Felix C Tropf
- Nuffield College, University of Oxford, Oxford, UK
- École Nationale de la Statistique et de L'administration Économique (ENSAE), Paris, France
- Center for Research in Economics and Statistics (CREST), Paris, France
| | - David M Brazel
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Natalie van Zuydam
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Bárbara D Bitarello
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eugene J Gardner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Evelina T Akimova
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ajuna Azad
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, the Netherlands
| | | | - Marco Brumat
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Julie E Buring
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David Cesarini
- Department of Economics, New York University, New York, NY, USA
- Research Institute for Industrial Economics, Stockholm, Sweden
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Daniel I Chasman
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Massimiliano Cocca
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | | | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Oscar Franco
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giorgia Girotto
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Bamini Gopinath
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Hans Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chunyan He
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
- Department of Internal Medicine, Division of Medical Oncology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - W David Hill
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hongyang Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elina Hyppӧnen
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Annette Kifley
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Gerald Liew
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Qatar Genome Programme, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - George McMahon
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | | | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Stacey A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Adolescent and Young Adult Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Stine Møllegaard
- Department of Sociology, University of Copenhagen, Copenhagen, Denmark
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna Morgan
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam, the Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ozren Polašek
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Chris Power
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Ridker
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Cornelius A Rietveld
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vallari Shukla
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Stasa Stankovic
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Doris Stöckl
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU, Munich, Germany
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | | | - A Roy Thurik
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
- Montpellier Business School, Montpellier, France
| | | | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - André G Uitterlinden
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jing Hau Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Yajie Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marcel den Hoed
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Melinda C Mills
- Nuffield College, University of Oxford, Oxford, UK.
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Economics, Econometrics and Finance, University of Groningen, Groningen, the Netherlands.
| | - John R B Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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Vila IK, Laguette N. The unexpected role of the STING protein in lipid metabolism. C R Biol 2023; 346:29-33. [PMID: 37254782 DOI: 10.5802/crbiol.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/10/2023] [Accepted: 02/27/2023] [Indexed: 06/01/2023]
Abstract
Detection of cytosolic pathological nucleic acids is a key step for the initiation of innate immune responses. In the past decade, the stimulator of interferon genes (STING) adaptor protein has emerged as a central platform enabling the activation of inflammatory responses in the presence of cytosolic DNAs. This has prompted a plethora of approaches aiming at modulating STING activation in order to boost or inhibit inflammatory responses. However, recent work has revealed that STING is also a direct regulator of metabolic homeostasis. In particular, STING regulates lipid metabolism directly, a function that is conserved throughout evolution. This indicates that STING targeting strategies must take into consideration potential metabolic side effects that may alter disease course, but also suggests that targeting STING may open the route to novel treatments for metabolic disorders. Here we discuss recent work describing the metabolic function of STING and the implications of these findings.
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Cardino VN, Goeden T, Yakah W, Ezeamama AE, Fenton JI. New Perspectives on the Associations between Blood Fatty Acids, Growth Parameters, and Cognitive Development in Global Child Populations. Nutrients 2023; 15:nu15081933. [PMID: 37111152 PMCID: PMC10143140 DOI: 10.3390/nu15081933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/11/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023] Open
Abstract
Malnutrition is prevalent in low-middle-income countries (LMICs), but it is usually clinically diagnosed through abnormal anthropometric parameters characteristic of protein energy malnutrition (PEM). In doing so, other contributors or byproducts of malnutrition, notably essential fatty acid deficiency (EFAD), are overlooked. Previous research performed mainly in high-income countries (HICs) shows that deficiencies in essential fatty acids (EFAs) and their n-3 and n-6 polyunsaturated fatty acid (PUFA) byproducts (also known as highly unsaturated fatty acids or HUFAs) lead to both abnormal linear growth and impaired cognitive development. These adverse developmental outcomes remain an important public health issue in LMICs. To identify EFAD before severe malnutrition develops, clinicians should perform blood fatty acid panels to measure levels of fatty acids associated with EFAD, notably Mead acid and HUFAs. This review demonstrates the importance of measuring endogenous fatty acid levels for measuring fatty acid intake in various child populations in LMICs. Featured topics include a comparison of fatty acid levels between global child populations, the relationships between growth and cognition and PUFAs and the possible mechanisms driving these relationships, and the potential importance of EFAD and HUFA scores as biomarkers of overall health and normal development.
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Affiliation(s)
- Vanessa N Cardino
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
| | - Travis Goeden
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
| | - William Yakah
- Department of Pediatrics, Columbia University Medical Center, New York, NY 10032, USA
| | - Amara E Ezeamama
- Department of Psychiatry, Michigan State University, East Lansing, MI 48824, USA
| | - Jenifer I Fenton
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
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Sanne I, Bjørke-Monsen AL. Dietary behaviors and attitudes among Norwegian medical students. BMC MEDICAL EDUCATION 2023; 23:220. [PMID: 37024871 PMCID: PMC10080805 DOI: 10.1186/s12909-023-04194-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Dietary patterns and beliefs are influenced by socioeconomic status, cultural influences, as well as medical advice, social media and marketing. Medical doctors are expected to provide correct, updated and non-biased nutritional advice to their patients, but their own dietary behaviors and attitudes may influence nutritional counselling. METHODS We have investigated dietary habits and food attitudes among medical students by using an anonymous survey distributed to all students at the Medical Faculty, University of Bergen, Norway. The survey included a 36-item questionnaire covering information about demographics, former and current diet, use of nutritional supplements, tobacco and alcohol, in addition to food attitudes and nutritional knowledge. Descriptive statistics were calculated for each survey item. RESULTS Of the 880 students, 394 responded to the survey. Although 90% of the students were omnivores, the majority had a negative attitude towards meat, and considered fish to be healthier than meat. Significantly more women than men reported use of a special diet and excluded meat from their diet, even if they were omnivores. The most frequently used supplement was cod liver oil or omega 3 fatty acids. CONCLUSION The medical students' diet and food attitudes not only reflect current health recommendations, but also popular beliefs and marketing in Norway. Curriculum planners should make the students capable of recognizing the influence of social media, marketing and medicine-food industry interactions, to ensure relevant nutrition knowledge for future doctors.
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Affiliation(s)
- Ingebjørg Sanne
- Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Anne-Lise Bjørke-Monsen
- Laboratory of Medical Biochemistry, Innlandet Hospital Trust, Lillehammer, Norway.
- Laboratory of Medical Biochemistry, Førde Central Hospital, Førde, Norway.
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, 5021, Norway.
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Del Brutto OH, Mera RM, Recalde BY, Rumbea DA, Sedler MJ. Dietary oily fish intake reduces the risk of all-cause mortality in frequent fish consumers of Amerindian ancestry living in coastal Ecuador: the Atahualpa project. Eur J Nutr 2023; 62:1527-1533. [PMID: 36695950 DOI: 10.1007/s00394-023-03093-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023]
Abstract
PURPOSE To assess the relationship between dietary oily fish intake and all-cause mortality in a population of frequent fish consumers of Amerindian ancestry living in rural Ecuador. METHODS Individuals aged ≥ 40 years enrolled in the prospective population-based Atahualpa Project cohort received annual questionnaires to estimate their dietary oily fish intake. Only fish served broiled or cooked in the soup were included for analysis. Poisson regression and Cox-proportional hazards models adjusted for demographics, education level and cardiovascular risk factors were obtained to estimate mortality risk according to the amount of oily fish intake stratified in tertiles. RESULTS Analysis included 909 individuals (mean age: 55.1 ± 12.8 years) followed by a median of 7.5 ± 3 years. Mean oily fish intake was 9.4 ± 5.7 servings per week. A total of 142 (16%) individuals died during the follow-up. The mortality rate for individuals in the first tertile de oily fish intake (0.0-6.29 servings) was 2.87 per 100 person-years, which decreased to 1.78 for those in the third tertile (10.59-35.0 servings). An adjusted Cox-proportional hazards model showed that individuals allocated to the second (HR 0.61; 95% CI 0.41-0.92) and third (HR 0.60; 95% CI 0.40-0.91) tertiles of dietary oily fish intake had significantly lower mortality risk than those in the first tertile. CONCLUSION Sustained oily fish intake of more than six servings per week reduces mortality risk in middle-aged and older adults of Amerindian ancestry.
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Affiliation(s)
- Oscar H Del Brutto
- School of Medicine and Research Center, Universidad Espíritu Santo-Ecuador, Samborondón, Ecuador.
- Urbanización Toscana, Apt 3H, Km 4.5 vía Puntilla-Samborondón, 092301, Samborondón, Ecuador.
| | - Robertino M Mera
- Biostatistics/Epidemiology, Freenome, Inc., South San Francisco, CA, USA
| | - Bettsy Y Recalde
- School of Medicine and Research Center, Universidad Espíritu Santo-Ecuador, Samborondón, Ecuador
| | - Denisse A Rumbea
- School of Medicine and Research Center, Universidad Espíritu Santo-Ecuador, Samborondón, Ecuador
| | - Mark J Sedler
- Renaissance School of Medicine, Stony Brook University, New York, NY, USA
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Pomeroy E. Review: The different adaptive trajectories in Neanderthals and Homo sapiens and their implications for contemporary human physiological variation. Comp Biochem Physiol A Mol Integr Physiol 2023; 280:111420. [PMID: 37001690 DOI: 10.1016/j.cbpa.2023.111420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023]
Abstract
Neanderthals are our one of our closest evolutionary cousins, but while they evolved in Eurasia, we (anatomically modern humans, AMH) originated in Africa. This contrasting evolutionary history has led to morphological and genetic distinctions between our species. Neanderthals are characterised by a relatively stocky build, high body mass, proportionally wide bodies and shorter limbs, a bell-shaped ribcage with a wide pelvis, and a long, low cranial vault compared with AMH. Classic readings of Neanderthal morphology link many of these traits to cold climate adaptations, however these interpretations have been questioned and alternative hypotheses including behavioural factors, dietary adaptations, locomotor specialisations, evolutionary history and neutral evolutionary processes have been invoked. Compared with AMH, Neanderthals may have been adapted for strength and power rather than endurance and may have consumed a diet high in animal products. However, reviewing these hypotheses highlights a number of limitations in our understanding of contemporary human physiology and metabolism, including the relationship between climate and morphology in AMH and Neanderthals, physiological limits on protein consumption, and the relationship between gut morphology and diet. As various relevant factors are clearly linked (e.g. diet, behaviour, metabolism, morphology, activity), ultimately a more integrated approach may be needed to fully understand Neanderthal biology. Variation among contemporary AMHs may offer, with caveats, a useful model for understanding the evolution of both Neanderthal and modern human characteristics, which in turn may further deepen our understanding of variability within and between contemporary humans. Neanderthals; Anatomically modern humans; morphology; climate adaptation; power adaptations; metabolism; diet; physiology; endurance running.
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Kolesnikov NA, Kharkov VN, Vagaitseva KV, Zarubin AA, Stepanov VA. Blocks identical by descent in the genomes of the indigenous population of Siberia demonstrate genetic links between populations. Vavilovskii Zhurnal Genet Selektsii 2023; 27:55-62. [PMID: 36923483 PMCID: PMC10009479 DOI: 10.18699/vjgb-23-08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/17/2023] [Accepted: 01/24/2023] [Indexed: 03/18/2023] Open
Abstract
The gene pool of the indigenous population of Siberia is a unique system for studying population and evolutionary genetic processes, analyzing genetic diversity, and reconstructing the genetic history of populations. High ethnic diversity is a feature of Siberia, as one of the regions of the peripheral settlement of modern human. The vast expanses of this region and the small number of aboriginal populations contributed to the formation of significant territorial and genetic subdivision. About 40 indigenous peoples are settled on the territory of the Siberian historical and ethnographic province. Within the framework of this work, a large-scale population study of the gene pool of the indigenous peoples of Siberia was carried out for the first time at the level of high-density biochips. This makes it possible to fill in a significant gap in the genogeographic picture of the Eurasian population. For this, DNA fragments were analyzed, which had been inherited without recombination by each pair of individuals from their recent common ancestor, that is, segments (blocks) identical by descent (IBD). The distribution of IBD blocks in the populations of Siberia is in good agreement with the geographical proximity of the populations and their linguistic affiliation. Among the Siberian populations, the Chukchi, Koryaks, and Nivkhs form a separate cluster from the main Siberian group, with the Chukchi and Koryaks being more closely related. Separate subclusters of Evenks and Yakuts, Kets and Chulyms are formed within the Siberian cluster. Analysis of SNPs that fell into more IBD segments of the analyzed populations made it possible to compile a list of 5358 genes. According to the calculation results, biological processes enriched with these genes are associated with the detection of a chemical stimulus involved in the sensory perception of smell. Enriched for the genes found, molecular pathways are associated with the metabolism of linoleic, arachidonic, tyrosic acids and by olfactory transduction. At the same time, an analysis of the literature data showed that some of the selected genes, which were found in a larger number of IBD blocks in several populations at once, can play a role in genetic adaptation to environmental factors.
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Affiliation(s)
- N A Kolesnikov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - V N Kharkov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - K V Vagaitseva
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - A A Zarubin
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - V A Stepanov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
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Lea AJ, Caldas IV, Garske KM, Echwa J, Gurven M, Handley C, Kahumbu J, Kamau, Kinyua P, Lotukoi F, Lopurudoi A, Lowasa S, Mallarino R, Martins D, Messer PW, Miano C, Muhoya B, Peng J, Phung T, Rabinowitz JD, Roichman A, Siford R, Stone A, Oill AT, Mathew S, Wilson MA, Ayroles JF. Adaptations to water stress and pastoralism in the Turkana of northwest Kenya. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.17.524066. [PMID: 36711473 PMCID: PMC9882148 DOI: 10.1101/2023.01.17.524066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The Turkana people inhabit arid regions of east Africa-where temperatures are high and water is scarce-and they practice subsistence pastoralism, such that their diet is primarily composed of animal products. Working with Turkana communities, we sequenced 367 genomes and identified 8 regions putatively involved in adaptation to water stress and pastoralism. One of these regions includes a putative enhancer for STC1-a kidney-expressed gene involved in the response to dehydration and the metabolism of purine-rich foods such as red meat. We show that STC1 is induced by antidiuretic hormone in humans, is associated with urea levels in the Turkana themselves, and is under strong selection in this population (s∼0.041). This work highlights that partnerships with subsistence-level groups can lead to new models of human physiology with biomedical relevance.
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Hoffecker JF, Elias SA, Scott GR, O'Rourke DH, Hlusko LJ, Potapova O, Pitulko V, Pavlova E, Bourgeon L, Vachula RS. Beringia and the peopling of the Western Hemisphere. Proc Biol Sci 2023; 290:20222246. [PMID: 36629115 PMCID: PMC9832545 DOI: 10.1098/rspb.2022.2246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Did Beringian environments represent an ecological barrier to humans until less than 15 000 years ago or was access to the Americas controlled by the spatial-temporal distribution of North American ice sheets? Beringian environments varied with respect to climate and biota, especially in the two major areas of exposed continental shelf. The East Siberian Arctic Shelf ('Great Arctic Plain' (GAP)) supported a dry steppe-tundra biome inhabited by a diverse large-mammal community, while the southern Bering-Chukchi Platform ('Bering Land Bridge' (BLB)) supported mesic tundra and probably a lower large-mammal biomass. A human population with west Eurasian roots occupied the GAP before the Last Glacial Maximum (LGM) and may have accessed mid-latitude North America via an interior ice-free corridor. Re-opening of the corridor less than 14 000 years ago indicates that the primary ancestors of living First Peoples, who already had spread widely in the Americas at this time, probably dispersed from the NW Pacific coast. A genetic 'arctic signal' in non-arctic First Peoples suggests that their parent population inhabited the GAP during the LGM, before their split from the former. We infer a shift from GAP terrestrial to a subarctic maritime economy on the southern BLB coast before dispersal in the Americas from the NW Pacific coast.
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Affiliation(s)
- John F. Hoffecker
- Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA,Department of Anthropology, University of Kansas, 622 Fraser Hall, 1415 Jayhawk Blvd, Lawrence, KS 66045, USA
| | - Scott A. Elias
- Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA
| | - G. Richard Scott
- Department of Anthropology, University of Nevada-Reno, 1664 N. Virginia Street, Reno, NV 89557, USA
| | - Dennis H. O'Rourke
- Department of Anthropology, University of Kansas, 622 Fraser Hall, 1415 Jayhawk Blvd, Lawrence, KS 66045, USA
| | - Leslea J. Hlusko
- Human Evolution Research Center, University of California-Berkeley, 3101 Valley Life Sciences Building, Berkeley, CA 94720-3140, USA,Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Burgos, Spain
| | - Olga Potapova
- Pleistocene Park Foundation, Philadelphia, PA 19006, USA,Department of Mammoth Fauna Studies, Academy of Sciences of Sakha, Yakutsk, Russia,The Mammoth Site of Hot Springs, Hot Springs, SD 57747, USA
| | - Vladimir Pitulko
- Institute of the History of Material Culture, Russian Academy of Sciences, Dvortsovaya nab., 18, 191186 St Petersburg, Russia,Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, 3, Universitetskaya nab., St Petersburg 199034, Russian Federation
| | - Elena Pavlova
- Arctic and Antarctic Research Institute, Russian Federal Service for Hydrometeorology and Environmental Monitoring, 38 Bering Street, 199397 St Petersburg, Russia
| | - Lauriane Bourgeon
- Kansas Geological Survey, University of Kansas, 1930 Constant Ave., Lawrence, KS 66047, USA
| | - Richard S. Vachula
- Department of Geosciences, Auburn University, 2050 Beard Eaves Coliseum, Auburn, AL 36849-5305, USA
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Lea AJ, Garcia A, Arevalo J, Ayroles JF, Buetow K, Cole SW, Eid Rodriguez D, Gutierrez M, Highland HM, Hooper PL, Justice A, Kraft T, North KE, Stieglitz J, Kaplan H, Trumble BC, Gurven MD. Natural selection of immune and metabolic genes associated with health in two lowland Bolivian populations. Proc Natl Acad Sci U S A 2023; 120:e2207544120. [PMID: 36574663 PMCID: PMC9910614 DOI: 10.1073/pnas.2207544120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 09/21/2022] [Indexed: 12/28/2022] Open
Abstract
A growing body of work has addressed human adaptations to diverse environments using genomic data, but few studies have connected putatively selected alleles to phenotypes, much less among underrepresented populations such as Amerindians. Studies of natural selection and genotype-phenotype relationships in underrepresented populations hold potential to uncover previously undescribed loci underlying evolutionarily and biomedically relevant traits. Here, we worked with the Tsimane and the Moseten, two Amerindian populations inhabiting the Bolivian lowlands. We focused most intensively on the Tsimane, because long-term anthropological work with this group has shown that they have a high burden of both macro and microparasites, as well as minimal cardiometabolic disease or dementia. We therefore generated genome-wide genotype data for Tsimane individuals to study natural selection, and paired this with blood mRNA-seq as well as cardiometabolic and immune biomarker data generated from a larger sample that included both populations. In the Tsimane, we identified 21 regions that are candidates for selective sweeps, as well as 5 immune traits that show evidence for polygenic selection (e.g., C-reactive protein levels and the response to coronaviruses). Genes overlapping candidate regions were strongly enriched for known involvement in immune-related traits, such as abundance of lymphocytes and eosinophils. Importantly, we were also able to draw on extensive phenotype information for the Tsimane and Moseten and link five regions (containing PSD4, MUC21 and MUC22, TOX2, ANXA6, and ABCA1) with biomarkers of immune and metabolic function. Together, our work highlights the utility of pairing evolutionary analyses with anthropological and biomedical data to gain insight into the genetic basis of health-related traits.
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Affiliation(s)
- Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, TN37235
| | - Angela Garcia
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ85287
| | - Jesusa Arevalo
- Department of Medicine, University of California, Los Angeles, CA90095
| | - Julien F. Ayroles
- Department of Ecology and Evolution, Princeton University, Princeton, NJ08544
- Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ08544
| | - Kenneth Buetow
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ85287
- School of Life Sciences, Arizona State University, Tempe, AZ85287
| | - Steve W. Cole
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA90095
- Department of Medicine, University of California, Los Angeles, CA90095
| | | | | | - Heather M. Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27516
| | - Paul L. Hooper
- Economic Science Institute, Chapman University, Orange, CA92866
| | | | - Thomas Kraft
- Department of Anthropology, University of Utah, Salt Lake City, UT84112
| | - Kari E. North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27516
| | | | - Hillard Kaplan
- Institute for Economics and Society, Chapman University, Orange, CA92866
| | - Benjamin C. Trumble
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ85287
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ85287
| | - Michael D. Gurven
- Department of Anthropology, University of California, Santa Barbara, CA93106
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Bjerregaard P, Larsen CVL, Olesen I, Ottendahl CB, Backer V, Senftleber N, Christensen MMB, Larsen TJ, Byberg S, Hansen T, Jørgensen ME. The Greenland population health survey 2018 - methods of a prospective study of risk factors for lifestyle related diseases and social determinants of health amongst Inuit. Int J Circumpolar Health 2022; 81:2090067. [PMID: 35711125 PMCID: PMC9225753 DOI: 10.1080/22423982.2022.2090067] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Since 1993, regular population health surveys in Greenland have supported and monitored the public health strategy of Greenland and have monitored cardiometabolic and lung diseases. The most recent of these surveys included 2539 persons aged 15+ from 20 communities spread over the whole country. The survey instruments included personal interviews, self-administered questionnaires, blood sampling, anthropometric measurements, blood pressure, ECG, oral glucose test, pulmonary function, hand grip strength and chair stand test. Blood samples were analysed for glucose, glycated haemoglobin (HbA1c), insulin, incretin hormones, cholesterol, kidney function, fatty acids in erythrocyte membranes and mercury, urine for albumin-creatinine ratio, and aliquots were stored at -80°C for future use. Data were furthermore collected for studies of the gut microbiome and diabetes complications. Survey participants were followed up with register data. The potential of the study is to contribute to the continued monitoring of risk factors and health conditions as part of Greenland's public health strategy and to study the epidemiology of cardiometabolic diseases and other chronic diseases and behavioural risk factors. The next population health survey is planned for 2024. The emphasis of the article is on the methods of the study and results will be presented in other publications.
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Affiliation(s)
- Peter Bjerregaard
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Christina Viskum Lytken Larsen
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark.,Institute of Health and Nature, University of Greenland, Nuuk, Greenland
| | - Ingelise Olesen
- Institute of Health and Nature, University of Greenland, Nuuk, Greenland
| | | | - Vibeke Backer
- Department of otorhinolaryngology Head & Neck surgery and Audiology, Rigshospitalet, Copenhagen, Denmark
| | - Ninna Senftleber
- Steno Diabetes Center Greenland, Nuuk, Greenland.,Steno Diabetes Center Copenhagen, Denmark
| | | | - Trine Jul Larsen
- Institute of Health and Nature, University of Greenland, Nuuk, Greenland
| | | | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marit Eika Jørgensen
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark.,Institute of Health and Nature, University of Greenland, Nuuk, Greenland.,Steno Diabetes Center Greenland, Nuuk, Greenland.,Steno Diabetes Center Copenhagen, Denmark
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Balentine CM, Bolnick DA. Parallel evolution in human populations: A biocultural perspective. Evol Anthropol 2022; 31:302-316. [PMID: 36059181 DOI: 10.1002/evan.21956] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 03/09/2022] [Accepted: 07/30/2022] [Indexed: 12/27/2022]
Abstract
Parallel evolution-where different populations evolve similar traits in response to similar environments-has been a topic of growing interest to biologists and biological anthropologists for decades. Parallel evolution occurs in human populations thanks to myriad biological and cultural mechanisms that permit humans to survive and thrive in diverse environments worldwide. Because humans shape and are shaped by their environments, biocultural approaches that emphasize the interconnections between biology and culture are key to understanding parallel evolution in human populations as well as the nuances of human biological variation and adaptation. In this review, we discuss how biocultural theory has been and can be applied to studies of parallel evolution and adaptation more broadly. We illustrate this through four examples of parallel evolution in humans: malaria resistance, lactase persistence, cold tolerance, and high-altitude adaptation.
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Affiliation(s)
- Christina M Balentine
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, USA.,Department of Anthropology, University of Connecticut, Storrs, Connecticut, USA
| | - Deborah A Bolnick
- Department of Anthropology, University of Connecticut, Storrs, Connecticut, USA.,Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, USA
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45
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Mouterde M, Daali Y, Rollason V, Čížková M, Mulugeta A, Al Balushi KA, Fakis G, Constantinidis TC, Al-Thihli K, Černá M, Makonnen E, Boukouvala S, Al-Yahyaee S, Yimer G, Černý V, Desmeules J, Poloni ES. Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans. Genome Biol Evol 2022; 14:6852765. [PMID: 36445690 PMCID: PMC9750130 DOI: 10.1093/gbe/evac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 11/03/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022] Open
Abstract
Variation in genes involved in the absorption, distribution, metabolism, and excretion of drugs (ADME) can influence individual response to a therapeutic treatment. The study of ADME genetic diversity in human populations has led to evolutionary hypotheses of adaptation to distinct chemical environments. Population differentiation in measured drug metabolism phenotypes is, however, scarcely documented, often indirectly estimated via genotype-predicted phenotypes. We administered seven probe compounds devised to target six cytochrome P450 enzymes and the P-glycoprotein (P-gp) activity to assess phenotypic variation in four populations along a latitudinal transect spanning over Africa, the Middle East, and Europe (349 healthy Ethiopian, Omani, Greek, and Czech volunteers). We demonstrate significant population differentiation for all phenotypes except the one measuring CYP2D6 activity. Genome-wide association studies (GWAS) evidenced that the variability of phenotypes measuring CYP2B6, CYP2C9, CYP2C19, and CYP2D6 activity was associated with genetic variants linked to the corresponding encoding genes, and additional genes for the latter three. Instead, GWAS did not indicate any association between genetic diversity and the phenotypes measuring CYP1A2, CYP3A4, and P-gp activity. Genome scans of selection highlighted multiple candidate regions, a few of which included ADME genes, but none overlapped with the GWAS candidates. Our results suggest that different mechanisms have been shaping the evolution of these phenotypes, including phenotypic plasticity, and possibly some form of balancing selection. We discuss how these contrasting results highlight the diverse evolutionary trajectories of ADME genes and proteins, consistent with the wide spectrum of both endogenous and exogenous molecules that are their substrates.
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Affiliation(s)
| | - Youssef Daali
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Victoria Rollason
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Martina Čížková
- Institute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Anwar Mulugeta
- Department of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Khalid A Al Balushi
- College of Pharmacy, National University of Science and Technology, Muscat, Sultanate of Oman
| | - Giannoulis Fakis
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | | | - Khalid Al-Thihli
- Department of Genetics, Sultan Qaboos University Hospital, Muscat, Sultanate of Oman
| | - Marie Černá
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Eyasu Makonnen
- Department of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia,Center for Innovative Drug Development and Therapeutic Trials for Africa, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Sotiria Boukouvala
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Said Al-Yahyaee
- Department of Genetics, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman
| | - Getnet Yimer
- Center for Global Genomics & Health Equity, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Viktor Černý
- Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Jules Desmeules
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
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Zhang Y, Zhang WQ, Tang WW, Zhang WY, Liu JX, Xu RH, Wang TD, Huang XB. The prevalence of obesity-related hypertension among middle-aged and older adults in China. Front Public Health 2022; 10:865870. [PMID: 36504973 PMCID: PMC9731297 DOI: 10.3389/fpubh.2022.865870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 09/23/2022] [Indexed: 11/25/2022] Open
Abstract
Objective The aim of our study was to assess the prevalence and geographic variation of obesity-related hypertension in China among adults aged 45 years or older. Methods Data were derived from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2015. Stratified sample households covered 150 counties/districts and 450 villages/urban communities from 28 provinces by using household questionnaires, clinical measurements, and blood-based bioassays. A multivariable non-conditional logistic regression model was used to analyze the risk factors correlated with obesity-related hypertension. Results The prevalence of obesity-related hypertension was 22.7%, ~120 million people, among adults aged 45 years or older in China. For people in the age ranges of 45-54, 55-64, 65-74, and ≥75 years, the prevalence of obesity-related hypertension was 16.7, 24.3, 27, and 26.7%, respectively, and the prevalence of obesity-related hypertension among hypertensive participants was 66.0, 60.9, 54.2, and 47.3%, respectively. Compared with non-obesity-related hypertension, the obesity-related hypertensive patients had a higher prevalence of diabetes mellitus, dyslipidemia, and hyperuricemia (all P < 0.0001). The prevalence of obesity-related hypertension showed a decreasing gradient from north to south and from east to west. Multivariate logistic regression analysis showed that female gender, living in urban areas, diabetes mellitus, dyslipidemia, and hyperuricemia were positively correlated with obesity-related hypertension. Conclusion The prevalence of obesity-related hypertension among adults aged 45 years or older was high in China. Among hypertensive participants, older age was negatively correlated with obesity-related hypertension. Obesity-related hypertensive participants are more prone to aggregation of risk factors of atherosclerotic cardiovascular disease.
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Affiliation(s)
- Yang Zhang
- Department of Cardiology, Chengdu Second People's Hospital, Chengdu, China
| | - Wen-Qiang Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Wei-Wei Tang
- School of Health Policy and Management, Nanjing Medical University, Nanjing, China,Institute of Healthy Jiangsu Development, Nanjing Medical University, Nanjing, China
| | - Wen-Yong Zhang
- Department of Cardiology, Chengdu Second People's Hospital, Chengdu, China
| | - Jian-Xiong Liu
- Department of Cardiology, Chengdu Second People's Hospital, Chengdu, China
| | - Rong-Hua Xu
- Stroke Center, Chengdu Second People's Hospital, Chengdu, China
| | - Tzung-Dau Wang
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan,*Correspondence: Tzung-Dau Wang
| | - Xiao-Bo Huang
- Department of Cardiology, Chengdu Second People's Hospital, Chengdu, China,Xiao-Bo Huang
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Chen H, Lin R, Lu Y, Zhang R, Gao Y, He Y, Xu S. Tracing Bai-Yue Ancestry in Aboriginal Li People on Hainan Island. Mol Biol Evol 2022; 39:6731089. [PMID: 36173765 PMCID: PMC9585476 DOI: 10.1093/molbev/msac210] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
As the most prevalent aboriginal group on Hainan Island located between South China and the mainland of Southeast Asia, the Li people are believed to preserve some unique genetic information due to their isolated circumstances, although this has been largely uninvestigated. We performed the first whole-genome sequencing of 55 Hainan Li (HNL) individuals with high coverage (∼30-50×) to gain insight into their genetic history and potential adaptations. We identified the ancestry enriched in HNL (∼85%) is well preserved in present-day Tai-Kadai speakers residing in South China and North Vietnam, that is, Bai-Yue populations. A lack of admixture signature due to the geographical restriction exacerbated the bottleneck in the present-day HNL. The genetic divergence among Bai-Yue populations began ∼4,000-3,000 years ago when the proto-HNL underwent migration and the settling of Hainan Island. Finally, we identified signatures of positive selection in the HNL, some outstanding examples included FADS1 and FADS2 related to a diet rich in polyunsaturated fatty acids. In addition, we observed that malaria-driven selection had occurred in the HNL, with population-specific variants of malaria-related genes (e.g., CR1) present. Interestingly, HNL harbors a high prevalence of malaria leveraged gene variants related to hematopoietic function (e.g., CD3G) that may explain the high incidence of blood disorders such as B-cell lymphomas in the present-day HNL. The results have advanced our understanding of the genetic history of the Bai-Yue populations and have provided new insights into the adaptive scenarios of the Li people.
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Affiliation(s)
| | | | - Yan Lu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China,Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
| | - Rui Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yang Gao
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
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Del Brutto OH, Mera RM, Del Brutto VJ, Recalde BY, Rumbea DA, Sedler MJ. Dietary oily fish intake and progression of diffuse subcortical damage of vascular origin: A longitudinal prospective study in community-dwelling older adults. Eur Stroke J 2022; 7:299-304. [PMID: 36082251 PMCID: PMC9446319 DOI: 10.1177/23969873221100162] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/23/2022] [Indexed: 11/03/2023] Open
Abstract
INTRODUCTION Oily fish intake may reduce the progression of white matter hyperintensities (WMH) of presumed vascular origin due to their high content of omega-3 polyunsaturated fatty acids and other nutrients. However, information on this relationship is limited. We aimed to assess the association between oily fish intake and WMH progression in older adults living in rural coastal Ecuador. METHODS Participants of the Atahualpa Project Cohort received baseline clinical interviews and brain MRIs. Oily fish intake was calculated at every annual door-to-door survey from enrollment to the end of the study. Individuals who also received a follow-up brain MRI were included. Poisson regression models were fitted to assess the incidence rate ratio (IRR) of WMH progression according to the amount of oily fish intake, after adjusting for demographics, level of education and traditional vascular risk factors. RESULTS The study included 263 individuals of Amerindian ancestry aged ⩾60 years (mean age: 65.7 ± 6.2 years; 57% women). The mean oily fish intake was 8.3 ± 4 servings per week. Follow-up MRIs demonstrated WMH progression in 103 (39%) individuals after a median follow-up of 6.5 years. A multivariate Poisson regression model showed an inverse relationship between oily fish intake and WMH progression (IRR: 0.89; 95% CI: 0.84-0.95; p < 0.001). A similar model also revealed an inverse relationship between tertiles of oily fish intake and probabilities of WMH progression, which became significant when individuals allocated to the third tertile were compared to those in the first and second tertiles. CONCLUSION Study results show an inverse relationship between the amount of oily fish intake and WMH progression in frequent fish consumers of Amerindian ancestry.
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Affiliation(s)
- Oscar H Del Brutto
- School of Medicine and Research Center,
Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Robertino M Mera
- Biostatistics/Epidemiology, Freenome,
Inc., South San Francisco, CA, USA
| | - Victor J Del Brutto
- Department of Neurology, University of
Miami, Miller School of Medicine, Miami, FL, USA
| | - Bettsy Y Recalde
- School of Medicine and Research Center,
Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Denisse A Rumbea
- School of Medicine and Research Center,
Universidad Espíritu Santo – Ecuador, Samborondón, Ecuador
| | - Mark J Sedler
- Renaissance School of Medicine, Stony
Brook University, New York, NY, USA
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Kijner S, Kolodny O, Yassour M. Human milk oligosaccharides and the infant gut microbiome from an eco-evolutionary perspective. Curr Opin Microbiol 2022; 68:102156. [DOI: 10.1016/j.mib.2022.102156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/03/2022] [Accepted: 04/14/2022] [Indexed: 12/21/2022]
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Lin X, Zhang N, Song H, Lin K, Pang E. Population-specific, recent positive selection signatures in cultivated Cucumis sativus L. (cucumber). G3 GENES|GENOMES|GENETICS 2022; 12:6585339. [PMID: 35554526 PMCID: PMC9258548 DOI: 10.1093/g3journal/jkac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022]
Abstract
Population-specific, positive selection promotes the diversity of populations and drives local adaptations in the population. However, little is known about population-specific, recent positive selection in the populations of cultivated cucumber (Cucumis sativus L.). Based on a genomic variation map of individuals worldwide, we implemented a Fisher’s combination method by combining 4 haplotype-based approaches: integrated haplotype score (iHS), number of segregating sites by length (nSL), cross-population extended haplotype homozygosity (XP-EHH), and Rsb. Overall, we detected 331, 2,147, and 3,772 population-specific, recent positive selective sites in the East Asian, Eurasian, and Xishuangbanna populations, respectively. Moreover, we found that these sites were related to processes for reproduction, response to abiotic and biotic stress, and regulation of developmental processes, indicating adaptations to their microenvironments. Meanwhile, the selective genes associated with traits of fruits were also observed, such as the gene related to the shorter fruit length in the Eurasian population and the gene controlling flesh thickness in the Xishuangbanna population. In addition, we noticed that soft sweeps were common in the East Asian and Xishuangbanna populations. Genes involved in hard or soft sweeps were related to developmental regulation and abiotic and biotic stress resistance. Our study offers a comprehensive candidate dataset of population-specific, selective signatures in cultivated cucumber populations. Our methods provide guidance for the analysis of population-specific, positive selection. These findings will help explore the biological mechanisms of adaptation and domestication of cucumber.
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Affiliation(s)
- Xinrui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Ning Zhang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Hongtao Song
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Kui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Erli Pang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
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