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Cheng S, Xu Z, Bian S, Chen X, Shi Y, Li Y, Duan Y, Liu Y, Lin J, Jiang Y, Jing J, Li Z, Wang Y, Meng X, Liu Y, Fang M, Jin X, Xu X, Wang J, Wang C, Li H, Liu S, Wang Y. The STROMICS genome study: deep whole-genome sequencing and analysis of 10K Chinese patients with ischemic stroke reveal complex genetic and phenotypic interplay. Cell Discov 2023; 9:75. [PMID: 37479695 PMCID: PMC10362040 DOI: 10.1038/s41421-023-00582-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 06/21/2023] [Indexed: 07/23/2023] Open
Abstract
Ischemic stroke is a leading cause of global mortality and long-term disability. However, there is a paucity of whole-genome sequencing studies on ischemic stroke, resulting in limited knowledge of the interplay between genomic and phenotypic variations among affected patients. Here, we outline the STROMICS design and present the first whole-genome analysis on ischemic stroke by deeply sequencing and analyzing 10,241 stroke patients from China. We identified 135.59 million variants, > 42% of which were novel. Notable disparities in allele frequency were observed between Chinese and other populations for 89 variants associated with stroke risk and 10 variants linked to response to stroke medications. We investigated the population structure of the participants, generating a map of genetic selection consisting of 31 adaptive signals. The adaption of the MTHFR rs1801133-G allele, which links to genetically evaluated VB9 (folate acid) in southern Chinese patients, suggests a gene-specific folate supplement strategy. Through genome-wide association analysis of 18 stroke-related traits, we discovered 10 novel genetic-phenotypic associations and extensive cross-trait pleiotropy at 6 lipid-trait loci of therapeutic relevance. Additionally, we found that the set of loss-of-function and cysteine-altering variants present in the causal gene NOTCH3 for the autosomal dominant stroke disorder CADASIL displayed a broad neuro-imaging spectrum. These findings deepen our understanding of the relationship between the population and individual genetic layout and clinical phenotype among stroke patients, and provide a foundation for future efforts to utilize human genetic knowledge to investigate mechanisms underlying ischemic stroke outcomes, discover novel therapeutic targets, and advance precision medicine.
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Affiliation(s)
- Si Cheng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Changping Laboratory, Beijing, China
- Clinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhe Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shengzhe Bian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xi Chen
- BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Yanfeng Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanran Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinxi Lin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Tiantan Neuroimaging Center of Excellence, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | | | - Xin Jin
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, Guangdong, China
- James D. Watson Institute of Genome Sciences, Hangzhou, Zhejiang, China
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siyang Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
- BGI-Shenzhen, Shenzhen, Guangdong, China.
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Changping Laboratory, Beijing, China.
- Clinical Center for Precision Medicine in Stroke, Capital Medical University, Beijing, China.
- Center of excellence for Omics Research (CORe), Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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2
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Clites BL, Hofmann HA, Pierce JT. The Promise of an Evolutionary Perspective of Alcohol Consumption. Neurosci Insights 2023; 18:26331055231163589. [PMID: 37051560 PMCID: PMC10084549 DOI: 10.1177/26331055231163589] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 02/27/2023] [Indexed: 04/07/2023] Open
Abstract
The urgent need for medical treatments of alcohol use disorders has motivated the search for novel molecular targets of alcohol response. Most studies exploit the strengths of lab animals without considering how these and other species may have adapted to respond to alcohol in an ecological context. Here, we provide an evolutionary perspective on the molecular and genetic underpinnings of alcohol consumption by reviewing evidence that alcohol metabolic enzymes have undergone adaptive evolution at 2 evolutionary junctures: first, to enable alcohol consumption accompanying the advent of a frugivorous diet in a primate ancestor, and second, to decrease the likelihood of excessive alcohol consumption concurrent with the spread of agriculture and fermentation in East Asia. By similarly considering how diverse vertebrate and invertebrate species have undergone natural selection for alcohol responses, novel conserved molecular targets of alcohol are likely be discovered that may represent promising therapeutic targets.
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Affiliation(s)
- Benjamin L Clites
- Department of Neuroscience, University of Texas at Austin, Austin, TX, USA
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, TX, USA
- Institute for Cellular & Molecular Biology, University of Texas at Austin, Austin, TX, USA
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
| | - Hans A Hofmann
- Institute for Cellular & Molecular Biology, University of Texas at Austin, Austin, TX, USA
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Jonathan T Pierce
- Department of Neuroscience, University of Texas at Austin, Austin, TX, USA
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, TX, USA
- Institute for Cellular & Molecular Biology, University of Texas at Austin, Austin, TX, USA
- Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA
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3
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McQuillan MA, Ranciaro A, Hansen MEB, Fan S, Beggs W, Belay G, Woldemeskel D, Tishkoff SA. Signatures of Convergent Evolution and Natural Selection at the Alcohol Dehydrogenase Gene Region are Correlated with Agriculture in Ethnically Diverse Africans. Mol Biol Evol 2022; 39:msac183. [PMID: 36026493 PMCID: PMC9547508 DOI: 10.1093/molbev/msac183] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
The alcohol dehydrogenase (ADH) family of genes encodes enzymes that catalyze the metabolism of ethanol into acetaldehyde. Nucleotide variation in ADH genes can affect the catalytic properties of these enzymes and is associated with a variety of traits, including alcoholism and cancer. Some ADH variants, including the ADH1B*48His (rs1229984) mutation in the ADH1B gene, reduce the risk of alcoholism and are under positive selection in multiple human populations. The advent of Neolithic agriculture and associated increase in fermented foods and beverages is hypothesized to have been a selective force acting on such variants. However, this hypothesis has not been tested in populations outside of Asia. Here, we use genome-wide selection scans to show that the ADH gene region is enriched for variants showing strong signals of positive selection in multiple Afroasiatic-speaking, agriculturalist populations from Ethiopia, and that this signal is unique among sub-Saharan Africans. We also observe strong selection signals at putatively functional variants in nearby lipid metabolism genes, which may influence evolutionary dynamics at the ADH region. Finally, we show that haplotypes carrying these selected variants were introduced into Northeast Africa from a West-Eurasian source within the last ∼2,000 years and experienced positive selection following admixture. These selection signals are not evident in nearby, genetically similar populations that practice hunting/gathering or pastoralist subsistence lifestyles, supporting the hypothesis that the emergence of agriculture shapes patterns of selection at ADH genes. Together, these results enhance our understanding of how adaptations to diverse environments and diets have influenced the African genomic landscape.
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Affiliation(s)
| | - Alessia Ranciaro
- Department of Genetics, University of Pennsylvania, Philadelphia, PA
| | | | - Shaohua Fan
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA
| | - Gurja Belay
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dawit Woldemeskel
- Department of Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA
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4
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Yang X, Sarengaowa, He G, Guo J, Zhu K, Ma H, Zhao J, Yang M, Chen J, Zhang X, Tao L, Liu Y, Zhang XF, Wang CC. Genomic Insights Into the Genetic Structure and Natural Selection of Mongolians. Front Genet 2021; 12:735786. [PMID: 34956310 PMCID: PMC8693022 DOI: 10.3389/fgene.2021.735786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
Mongolians dwell at the Eastern Eurasian Steppe, where is the agriculture and pasture interlaced area, practice pastoral subsistence strategies for generations, and have their own complex genetic formation history. There is evidence that the eastward expansion of Western Steppe herders transformed the lifestyle of post-Bronze Age Mongolia Plateau populations and brought gene flow into the gene pool of Eastern Eurasians. Here, we reported genome-wide data for 42 individuals from the Inner Mongolia Autonomous Region of North China. We observed that our studied Mongolians were structured into three distinct genetic clusters possessing different genetic affinity with previous studied Inner Mongolians and Mongols and various Eastern and Western Eurasian ancestries: two subgroups harbored dominant Eastern Eurasian ancestry from Neolithic millet farmers of Yellow River Basin; another subgroup derived Eastern Eurasian ancestry primarily from Neolithic hunter-gatherers of North Asia. Besides, three-way/four-way qpAdm admixture models revealed that both north and southern Western Eurasian ancestry related to the Western Steppe herders and Iranian farmers contributed to the genetic materials into modern Mongolians. ALDER-based admixture coefficient and haplotype-based GLOBETROTTER demonstrated that the former western ancestry detected in modern Mongolian could be recently traced back to a historic period in accordance with the historical record about the westward expansion of the Mongol empire. Furthermore, the natural selection analysis of Mongolians showed that the Major Histocompatibility Complex (MHC) region underwent significantly positive selective sweeps. The functional genes, alcohol dehydrogenase (ADH) and lactase persistence (LCT), were not identified, while the higher/lower frequencies of derived mutations were strongly correlated with the genetic affinity to East Asian/Western Eurasian populations. Our attested complex population movement and admixture in the agriculture and pasture interlaced area played an important role in the formation of modern Mongolians.
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Affiliation(s)
- Xiaomin Yang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Sarengaowa
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China
| | - Guanglin He
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jianxin Guo
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Kongyang Zhu
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Hao Ma
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jing Zhao
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Meiqing Yang
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Jing Chen
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, China
| | - Xianpeng Zhang
- Institute of Biological Anthropology, Jinzhou Medical University, Liaoning, China
| | - Le Tao
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Yilan Liu
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Xiu-Fang Zhang
- Department of Pediatrics, Xiang'an Hospital of Xiamen University, Xiamen, China
| | - Chuan-Chao Wang
- Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.,State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
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5
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Jeong C, Wang K, Wilkin S, Taylor WTT, Miller BK, Bemmann JH, Stahl R, Chiovelli C, Knolle F, Ulziibayar S, Khatanbaatar D, Erdenebaatar D, Erdenebat U, Ochir A, Ankhsanaa G, Vanchigdash C, Ochir B, Munkhbayar C, Tumen D, Kovalev A, Kradin N, Bazarov BA, Miyagashev DA, Konovalov PB, Zhambaltarova E, Miller AV, Haak W, Schiffels S, Krause J, Boivin N, Erdene M, Hendy J, Warinner C. A Dynamic 6,000-Year Genetic History of Eurasia's Eastern Steppe. Cell 2020; 183:890-904.e29. [PMID: 33157037 PMCID: PMC7664836 DOI: 10.1016/j.cell.2020.10.015] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 03/12/2020] [Accepted: 10/07/2020] [Indexed: 12/22/2022]
Abstract
The Eastern Eurasian Steppe was home to historic empires of nomadic pastoralists, including the Xiongnu and the Mongols. However, little is known about the region’s population history. Here, we reveal its dynamic genetic history by analyzing new genome-wide data for 214 ancient individuals spanning 6,000 years. We identify a pastoralist expansion into Mongolia ca. 3000 BCE, and by the Late Bronze Age, Mongolian populations were biogeographically structured into three distinct groups, all practicing dairy pastoralism regardless of ancestry. The Xiongnu emerged from the mixing of these populations and those from surrounding regions. By comparison, the Mongols exhibit much higher eastern Eurasian ancestry, resembling present-day Mongolic-speaking populations. Our results illuminate the complex interplay between genetic, sociopolitical, and cultural changes on the Eastern Steppe. Genome-wide analysis of 214 ancient individuals from Mongolia and the Baikal region Three genetically distinct dairy pastoralist groups in Late Bronze Age Mongolia Xiongnu nomadic empire formed through mixing of distinct local and distant groups No selection on the lactase persistence alleles despite 5,000 years of dairy culture
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Affiliation(s)
- Choongwon Jeong
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.
| | - Ke Wang
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Shevan Wilkin
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - William Timothy Treal Taylor
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena 07745, Germany; Department of Anthropology, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Bryan K Miller
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena 07745, Germany; Museum of Anthropological Archaeology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jan H Bemmann
- Department of Archaeology and Anthropology, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn 53113, Germany
| | - Raphaela Stahl
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Chelsea Chiovelli
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Florian Knolle
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Sodnom Ulziibayar
- Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar 14200, Mongolia
| | | | - Diimaajav Erdenebaatar
- Department of Archaeology, Ulaanbaatar State University, Bayanzurkh district, Ulaanbaatar 13343, Mongolia
| | - Ulambayar Erdenebat
- Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Ayudai Ochir
- International Institute for the Study of Nomadic Civilizations, Ulaanbaatar 14200, Mongolia
| | - Ganbold Ankhsanaa
- National Centre for Cultural Heritage of Mongolia, Ulaanbaatar 14200, Mongolia
| | | | - Battuga Ochir
- Institute of History and Ethnology, Mongolian Academy of Sciences, Ulaanbaatar 14200, Mongolia
| | | | - Dashzeveg Tumen
- Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Alexey Kovalev
- Institute of Archaeology, Russian Academy of Sciences, Moscow 119991, Russia
| | - Nikolay Kradin
- Institute of History, Archaeology and Ethnology, Far East Branch of the Russian Academy of Sciences, Vladivostok 690001, Russia; Institute for Mongolian, Buddhist and Tibetan Studies, Siberian Branch of the Russian Academy of Sciences, Ulan-Ude 670047, Russia
| | - Bilikto A Bazarov
- Institute for Mongolian, Buddhist and Tibetan Studies, Siberian Branch of the Russian Academy of Sciences, Ulan-Ude 670047, Russia
| | - Denis A Miyagashev
- Institute for Mongolian, Buddhist and Tibetan Studies, Siberian Branch of the Russian Academy of Sciences, Ulan-Ude 670047, Russia
| | - Prokopiy B Konovalov
- Institute for Mongolian, Buddhist and Tibetan Studies, Siberian Branch of the Russian Academy of Sciences, Ulan-Ude 670047, Russia
| | - Elena Zhambaltarova
- Department of Museology and Heritage, Faculty of Social and Cultural Activities, Heritage, and Tourism, Federal State Budgetary Educational Institution of Higher Education, East Siberian State Institute of Culture, Ulan-Ude 670031, Russia
| | - Alicia Ventresca Miller
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena 07745, Germany; Department of Anthropology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Stephan Schiffels
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany; Faculty of Biological Sciences, Friedrich Schiller University, Jena 02134, Germany
| | - Nicole Boivin
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Myagmar Erdene
- Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Jessica Hendy
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany; BioArCh, Department of Archaeology, University of York, York YO10 5NG, UK
| | - Christina Warinner
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena 07745, Germany; Faculty of Biological Sciences, Friedrich Schiller University, Jena 02134, Germany; Department of Anthropology, Harvard University, Cambridge, MA 02138, USA.
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6
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Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison. Transl Psychiatry 2019; 9:249. [PMID: 31591379 PMCID: PMC6779867 DOI: 10.1038/s41398-019-0586-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 09/01/2019] [Accepted: 09/16/2019] [Indexed: 12/20/2022] Open
Abstract
Alcohol-related behaviors are moderately heritable and have ethnic-specific characteristics. At present, genetic studies for alcohol dependence (AD) in Chinese populations are underrepresented. We are the first to conduct a genome-wide association study (GWAS) for AD using 533 male alcoholics and 2848 controls of Han Chinese ethnicity and replicate our findings in 146 male alcoholics and 200 male controls. We then assessed genetic effects on AD characteristics (drinking volume/age onset/Michigan Alcoholism Screening Test (MAST)/Barratt Impulsiveness Scale (BIS-11)), and compared the polygenic risk of AD in Han Chinese with other populations (Thai, European American and African American). We found and validated two significant loci, one located in 4q23, with lead SNP rs2075633*ADH1B (Pdiscovery = 6.64 × 10-16) and functional SNP rs1229984*ADH1B (Pdiscovery = 3.93 × 10-13); and the other located in 12q24.12-12q24.13, with lead SNP rs11066001*BRAP (Pdiscovery = 1.63 × 10-9) and functional SNP rs671*ALDH2 (Pdiscovery = 3.44 × 10-9). ADH1B rs1229984 was associated with MAST, BIS_total score and average drinking volume. Polygenic risk scores from the Thai AD and European American AD GWAS were significantly associated with AD in Han Chinese, which were entirely due to the top two loci, however there was no significant prediction from African Americans. This is the first case-control AD GWAS in Han Chinese. Our findings demonstrate that these variants, which were highly linked with ALDH2 rs671 and ADH1B rs1229984, were significant modulators for AD in our Han Chinese cohort. A larger replication cohort is still needed to validate our findings.
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7
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Chiang CWK, Mangul S, Robles C, Sankararaman S. A Comprehensive Map of Genetic Variation in the World's Largest Ethnic Group-Han Chinese. Mol Biol Evol 2018; 35:2736-2750. [PMID: 30169787 PMCID: PMC6693441 DOI: 10.1093/molbev/msy170] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
As are most non-European populations, the Han Chinese are relatively understudied in population and medical genetics studies. From low-coverage whole-genome sequencing of 11,670 Han Chinese women we present a catalog of 25,057,223 variants, including 548,401 novel variants that are seen at least 10 times in our data set. Individuals from this data set came from 24 out of 33 administrative divisions across China (including 19 provinces, 4 municipalities, and 1 autonomous region), thus allowing us to study population structure, genetic ancestry, and local adaptation in Han Chinese. We identified previously unrecognized population structure along the East-West axis of China, demonstrated a general pattern of isolation-by-distance among Han Chinese, and reported unique regional signals of admixture, such as European influences among the Northwestern provinces of China. Furthermore, we identified a number of highly differentiated, putatively adaptive, loci (e.g., MTHFR, ADH7, and FADS, among others) that may be driven by immune response, climate, and diet in the Han Chinese. Finally, we have made available allele frequency estimates stratified by administrative divisions across China in the Geography of Genetic Variant browser for the broader community. By leveraging the largest currently available genetic data set for Han Chinese, we have gained insights into the history and population structure of the world's largest ethnic group.
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Affiliation(s)
- Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA
| | - Serghei Mangul
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA
- Institute for Quantitative and Computational Bioscience, University of California Los Angeles, Los Angeles, CA
| | - Christopher Robles
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Sriram Sankararaman
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
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8
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Oldoni F, Kidd KK, Podini D. Microhaplotypes in forensic genetics. Forensic Sci Int Genet 2018; 38:54-69. [PMID: 30347322 DOI: 10.1016/j.fsigen.2018.09.009] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 09/21/2018] [Accepted: 09/25/2018] [Indexed: 01/28/2023]
Abstract
Microhaplotype loci (microhaps, MHs) are a novel type of molecular marker of less than 300 nucleotides, defined by two or more closely linked SNPs associated in multiple allelic combinations. The value of these markers is enhanced by massively parallel sequencing (MPS), which allows the sequencing of both parental haplotypes at each of the many multiplexed loci. This review describes the features of these multi-SNP markers and documents their value in forensic genetics, focusing on individualization, biogeographic ancestry inference, and mixture deconvolution. Foreseeable applications also include missing person identification, relationship testing, and medical diagnostic applications. The technique is not restricted to humans.
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Affiliation(s)
- Fabio Oldoni
- Department of Forensic Sciences, The George Washington University, 2100 Foxhall Road NW, Washington, DC, 20007, United States
| | - Kenneth K Kidd
- Yale University School of Medicine, Department of Genetics, 333 Cedar Street, New Haven, CT, 06520, United States
| | - Daniele Podini
- Department of Forensic Sciences, The George Washington University, 2100 Foxhall Road NW, Washington, DC, 20007, United States.
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9
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Gu S, Li H, Pakstis AJ, Speed WC, Gurwitz D, Kidd JR, Kidd KK. Recent Selection on a Class I ADH Locus Distinguishes Southwest Asian Populations Including Ashkenazi Jews. Genes (Basel) 2018; 9:genes9090452. [PMID: 30205534 PMCID: PMC6162407 DOI: 10.3390/genes9090452] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 08/21/2018] [Accepted: 08/21/2018] [Indexed: 12/29/2022] Open
Abstract
The derived human alcohol dehydrogenase (ADH)1B*48His allele of the ADH1B Arg48His polymorphism (rs1229984) has been identified as one component of an East Asian specific core haplotype that underwent recent positive selection. Our study has been extended to Southwest Asia and additional markers in East Asia. Fst values (Sewall Wright’s fixation index) and long-range haplotype analyses identify a strong signature of selection not only in East Asian but also in Southwest Asian populations. However, except for the ADH2B*48His allele, different core haplotypes occur in Southwest Asia compared to East Asia and the extended haplotypes also differ. Thus, the ADH1B*48His allele, as part of a core haplotype of 10 kb, has undergone recent rapid increases in frequency independently in the two regions after divergence of the respective populations. Emergence of agriculture may be the common factor underlying the evident selection.
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Affiliation(s)
- Sheng Gu
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Hui Li
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Andrew J Pakstis
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - William C Speed
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - David Gurwitz
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
| | - Judith R Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
| | - Kenneth K Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT 06520, USA.
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10
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Jeong C, Witonsky DB, Basnyat B, Neupane M, Beall CM, Childs G, Craig SR, Novembre J, Di Rienzo A. Detecting past and ongoing natural selection among ethnically Tibetan women at high altitude in Nepal. PLoS Genet 2018; 14:e1007650. [PMID: 30188897 PMCID: PMC6143271 DOI: 10.1371/journal.pgen.1007650] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 09/18/2018] [Accepted: 08/21/2018] [Indexed: 12/21/2022] Open
Abstract
Adaptive evolution in humans has rarely been characterized for its whole set of components, i.e. selective pressure, adaptive phenotype, beneficial alleles and realized fitness differential. We combined approaches for detecting polygenic adaptations and for mapping the genetic bases of physiological and fertility phenotypes in approximately 1000 indigenous ethnically Tibetan women from Nepal, adapted to high altitude. The results of genome-wide association analyses and tests for polygenic adaptations showed evidence of positive selection for alleles associated with more pregnancies and live births and evidence of negative selection for those associated with higher offspring mortality. Lower hemoglobin level did not show clear evidence for polygenic adaptation, despite its strong association with an EPAS1 haplotype carrying selective sweep signals.
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Affiliation(s)
- Choongwon Jeong
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - David B. Witonsky
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Buddha Basnyat
- Oxford University Clinical Research Unit, Patan Hospital, Kathmandu, Nepal
| | | | - Cynthia M. Beall
- Department of Anthropology, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Geoff Childs
- Department of Anthropology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Sienna R. Craig
- Department of Anthropology, Dartmouth College, Hanover, New Hampshire, United States of America
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Anna Di Rienzo
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
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11
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Kidd KK, Pakstis AJ, Speed WC, Lagace R, Wootton S, Chang J. Selecting microhaplotypes optimized for different purposes. Electrophoresis 2018; 39:2815-2823. [PMID: 29931757 DOI: 10.1002/elps.201800092] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 06/13/2018] [Accepted: 06/14/2018] [Indexed: 12/22/2022]
Abstract
Massively parallel sequencing is transforming forensic work by allowing various useful forensic markers, such as STRPs and SNPs, to be multiplexed providing information on ancestry, individual and familial identification, phenotypes for eye/hair/skin pigmentation, and the deconvolution of mixtures. Microhaplotypes also become feasible with massively parallel sequencing, these are DNA segments (smaller than 300 nucleotides) that are selected to contain multiple SNPs unambiguously defining three or more haplotype alleles occurring at common frequencies. The physical extent of a microhaplotype can thus be covered by a single sequence read making these loci phase-known codominant genetic systems. Such microhaplotypes supply significantly more information than a single SNP can. Our efforts to develop useful sets of microhaplotypes have already identified 182 such loci that we have studied on a large number of human populations from around the world. We present various analyses on 83 populations in our ongoing study for a subset of the best microhaplotypes currently available illustrating their characteristics and potential utility for ancestry, identification, and mixture deconvolution.
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Affiliation(s)
- Kenneth K Kidd
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew J Pakstis
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - William C Speed
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Robert Lagace
- Human Identification Group, ThermoFisher Scientific, South San Francisco, CA, USA
| | - Sharon Wootton
- Human Identification Group, ThermoFisher Scientific, South San Francisco, CA, USA
| | - Joseph Chang
- Human Identification Group, ThermoFisher Scientific, South San Francisco, CA, USA
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12
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Wang P, Zhang L, Huang C, Huang P, Zhang J. Distinct Prognostic Values of Alcohol Dehydrogenase Family Members for Non-Small Cell Lung Cancer. Med Sci Monit 2018; 24:3578-3590. [PMID: 29808834 PMCID: PMC6003262 DOI: 10.12659/msm.910026] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related death worldwide. The relationships of alcohol dehydrogenase (ADH) enzymes, encoded by the genes ADH1 (1A), ADH1B (ADH2), ADH1C (ADH3), ADH4, ADH5, ADH6, and ADH7, with NSCLC have not been studied. The aim of this study was to explore the associations between NSCLC prognosis and the expression patterns of ADH family members. MATERIAL AND METHODS The online resource Metabolic gEne RApid Visualizer was used to assess the expression patterns of ADH family members in normal and primary lung tumor tissues. The GeneMANIA plugin of Cytoscape software and STRING website were used to evaluate the relationships of the 7 ADH family members at the gene and protein levels. Gene ontology enrichment analysis and KEGG pathway analysis were performed using DAVID. The online website Kaplan-Meier Plotter was used to construct survival curves between NSCLC and ADH isoforms. RESULTS The prognosis of patients with high expression levels of the ADH1B, ADH1C, ADH4, and ADH5 genes was better than those with low expression in adenocarcinoma and all (containing adenocarcinoma and squamous cell cancer) histological types (all P<0.05). Low expression of ADH7 was associated with a better prognosis in patients with both the adenocarcinoma and squamous cell cancer histological types (P=9e-05). Moreover, expression of ADH family members was associated with smoking status, clinical stage, and chemotherapy status. CONCLUSIONS ADH1B, ADH1C, ADH4, ADH5, and ADH7 appear to be useful biomarkers for the prognosis of NSCLC patients.
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Affiliation(s)
- Peng Wang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland)
| | - Linbo Zhang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland)
| | - Chunxia Huang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland)
| | - Ping Huang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland)
| | - Jianquan Zhang
- Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland)
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13
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Polimanti R, Gelernter J. ADH1B: From alcoholism, natural selection, and cancer to the human phenome. Am J Med Genet B Neuropsychiatr Genet 2018; 177:113-125. [PMID: 28349588 PMCID: PMC5617762 DOI: 10.1002/ajmg.b.32523] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 12/19/2016] [Indexed: 12/18/2022]
Abstract
The ADH1B (Alcohol Dehydrogenase 1B (class I), Beta Polypeptide) gene and its best-known functional alleles, Arg48His (rs1229984, ADH1B*2) and Arg370Cys (rs2066702, ADH1B*3), have been investigated in relation to many phenotypic traits; most frequently including alcohol metabolism and alcohol drinking behaviors, but also human evolution, liver function, cancer, and, recently, the comprehensive human phenome. To understand ADH1B functions and consequences, we provide here a bioinformatic analysis of its gene regulation and molecular functions, literature review of studies focused on this gene, and a discussion regarding future research perspectives. Certain ADH1B alleles have large effects on alcohol metabolism, and this relationship particularly encourages further investigations in relation to alcoholism and alcohol-associated cancer to understand better the mechanisms by which alcohol metabolism contributes to alcohol abuse and carcinogenesis. We also observed that ADH1B has complex mechanisms that regulate its expression across multiple human tissues, and these may be involved in cardiac and metabolic traits. Evolutionary data strongly suggest that the selection signatures at the ADH1B locus are primarily related to effects other than those on alcohol metabolism. This is also supported by the involvement of ADH1B in multiple molecular pathways and by the findings of our recent phenome-wide association study. Accordingly, future studies should also investigate other functions of ADH1B potentially relevant for the human phenome. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale School of Medicine, West Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, West Haven, CT, USA
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14
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Shen QK, Sulaiman X, Yao YG, Peng MS, Zhang YP. Was ADH1B under Selection in European Populations? Am J Hum Genet 2016; 99:1217-1219. [PMID: 27814524 DOI: 10.1016/j.ajhg.2016.09.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 09/20/2016] [Indexed: 11/18/2022] Open
Affiliation(s)
- Quan-Kuan Shen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | | | - Yong-Gang Yao
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China; Key Laboratory of Animal Models and Human Disease Mechanisms, Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming 650223, China
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China; State Key Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming 650091, China.
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15
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Galinsky KJ, Bhatia G, Loh PR, Georgiev S, Mukherjee S, Patterson NJ, Price AL. Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia. Am J Hum Genet 2016; 98:456-472. [PMID: 26924531 PMCID: PMC4827102 DOI: 10.1016/j.ajhg.2015.12.022] [Citation(s) in RCA: 234] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 12/31/2015] [Indexed: 01/13/2023] Open
Abstract
Searching for genetic variants with unusual differentiation between subpopulations is an established approach for identifying signals of natural selection. However, existing methods generally require discrete subpopulations. We introduce a method that infers selection using principal components (PCs) by identifying variants whose differentiation along top PCs is significantly greater than the null distribution of genetic drift. To enable the application of this method to large datasets, we developed the FastPCA software, which employs recent advances in random matrix theory to accurately approximate top PCs while reducing time and memory cost from quadratic to linear in the number of individuals, a computational improvement of many orders of magnitude. We apply FastPCA to a cohort of 54,734 European Americans, identifying 5 distinct subpopulations spanning the top 4 PCs. Using the PC-based test for natural selection, we replicate previously known selected loci and identify three new genome-wide significant signals of selection, including selection in Europeans at ADH1B. The coding variant rs1229984(∗)T has previously been associated to a decreased risk of alcoholism and shown to be under selection in East Asians; we show that it is a rare example of independent evolution on two continents. We also detect selection signals at IGFBP3 and IGH, which have also previously been associated to human disease.
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Affiliation(s)
- Kevin J Galinsky
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Gaurav Bhatia
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Sayan Mukherjee
- Departments of Statistical Science, Computer Science, and Mathematics, Duke University, Durham, NC 27708, USA
| | - Nick J Patterson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alkes L Price
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
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16
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Deep History of East Asian Populations Revealed Through Genetic Analysis of the Ainu. Genetics 2015; 202:261-72. [PMID: 26500257 DOI: 10.1534/genetics.115.178673] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 10/19/2015] [Indexed: 12/22/2022] Open
Abstract
Despite recent advances in population genomics, much remains to be elucidated with regard to East Asian population history. The Ainu, a hunter-gatherer population of northern Japan and Sakhalin island of Russia, are thought to be key to elucidating the prehistory of Japan and the peopling of East Asia. Here, we study the genetic relationship of the Ainu with other East Asian and Siberian populations outside the Japanese archipelago using genome-wide genotyping data. We find that the Ainu represent a deep branch of East Asian diversity more basal than all present-day East Asian farmers. However, we did not find a genetic connection between the Ainu and populations of the Tibetan plateau, rejecting their long-held hypothetical connection based on Y chromosome data. Unlike all other East Asian populations investigated, the Ainu have a closer genetic relationship with northeast Siberians than with central Siberians, suggesting ancient connections among populations around the Sea of Okhotsk. We also detect a recent genetic contribution of the Ainu to nearby populations, but no evidence for reciprocal recent gene flow is observed. Whole genome sequencing of contemporary and ancient Ainu individuals will be helpful to understand the details of the deep history of East Asians.
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17
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Polimanti R, Yang C, Zhao H, Gelernter J. Dissecting ancestry genomic background in substance dependence genome-wide association studies. Pharmacogenomics 2015; 16:1487-98. [PMID: 26267224 PMCID: PMC4632979 DOI: 10.2217/pgs.15.91] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
AIMS To understand the role of ancestral genomic background in substance dependence (SD) genome-wide association studies (GWAS), we analyzed population diversity at genetic loci associated with SD traits and evaluated its effect on GWAS outcomes. MATERIALS & METHODS We investigated 24 genes with variants associated with SD by GWAS; and 82 loci with putative subordinate roles with respect to SD-associated genes. RESULTS We observed high ancestry-related frequency differences in common functional alleles in GWAS relevant genes and their interactive partners. Common functional alleles with high frequency differences demonstrated significant effects on the GWAS outcomes. CONCLUSION Population differences in SD GWAS outcomes seem not to be influenced by general variation across the genome, but by ancestry-related local haplotype structures at SD-associated loci.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
| | - Can Yang
- Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06520-8034, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06520-8034, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA
- VA CT Healthcare Center, West Haven, CT 06516, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06510, USA
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18
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Mizuno Y, Harada E, Morita S, Kinoshita K, Hayashida M, Shono M, Morikawa Y, Murohara T, Nakayama M, Yoshimura M, Yasue H. East asian variant of aldehyde dehydrogenase 2 is associated with coronary spastic angina: possible roles of reactive aldehydes and implications of alcohol flushing syndrome. Circulation 2015; 131:1665-73. [PMID: 25759460 DOI: 10.1161/circulationaha.114.013120] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Accepted: 03/09/2015] [Indexed: 01/27/2023]
Abstract
BACKGROUND Coronary spastic angina (CSA) is a common disease among East Asians, including Japanese. The prevalence of alcohol flushing syndrome associated with deficient activity of the variant aldehyde dehydrogenase 2 (ALDH2*2) genotype is prevalent among East Asians. We examined whether CSA is associated with the ALDH2*2 genotype in Japanese. METHODS AND RESULTS The study subjects consisted of 202 patients in whom intracoronary injection of acetylcholine was performed by angiography on suspicion of CSA (119 men and 83 women; mean age, 66.2±11.4 years). They were divided into CSA (112 patients) and control groups (90 patients). ALDH2 genotyping was performed by the direct application of the TaqMan polymerase chain reaction system on dried whole blood. Clinical and laboratory data were examined using conventional methods. The frequencies of male sex, ALDH2*2 genotype carriers, alcohol flushing syndrome, tobacco smoking, and the plasma level of uric acid were higher (P<0.001, P<0.001, P<0.001, P<0.001, and P=0.007, respectively) and the plasma high-density lipoprotein cholesterol levels were lower (P<0.001) in the CSA group than in the control group. The multivariable logistic regression analysis revealed that ALDH2*2 genotype and smoking were significantly associated with CSA (P<0.001 and P=0.024, respectively). CONCLUSIONS East Asian variant ALDH2*2 genotypes and, hence, deficient ALDH2 activity were associated with CSA in Japanese. These data support further investigation of treatment targeting aldehydes for CSA.
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Affiliation(s)
- Yuji Mizuno
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Eisaku Harada
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Sumio Morita
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Kenji Kinoshita
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Mariko Hayashida
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Makoto Shono
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Yoshinobu Morikawa
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Toyoaki Murohara
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Masafumi Nakayama
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Michihiro Yoshimura
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.)
| | - Hirofumi Yasue
- From Division of Cardiovascular Medicine, Kumamoto Kinoh Hospital, Kumamoto Aging Research Institute, Kumamoto, Japan (Y.M., E.H., S.M., M.S., H.Y.); Department of Cardiology, Nagoya University, Graduate School of Medicine, Nagoya, Japan (S.M., T.M.); School of Pharmaceutical Sciences, Mukogawa Women's University, Koshien, Nishinomiya, Japan (K.K., M.H.); Division of Cardiovascular Medicine, Nara City Hospital, Nara, Japan (Y.M.); Nakayama Cardiovascular Clinic, Amakusa, Japan (M.N.); and Division of Cardiology, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan (M.Y.).
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Mead EA, Sarkar DK. Fetal alcohol spectrum disorders and their transmission through genetic and epigenetic mechanisms. Front Genet 2014; 5:154. [PMID: 24917878 PMCID: PMC4040491 DOI: 10.3389/fgene.2014.00154] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Accepted: 05/09/2014] [Indexed: 12/20/2022] Open
Abstract
Fetal alcohol spectrum disorders (FASD) are a group of related conditions that arise from prenatal exposure to maternal consumption of the teratogen, ethanol. It has been estimated that roughly 1% of children in the US suffer from FASD (Sampson etal., 1997), though in some world populations, such as inhabitants of some poorer regions of South Africa, the rate can climb to as high as 20% (May etal., 2013). FASD are the largest cause of mental retardation in U.S. neonates, and ironically, are entirely preventable. FASD have been linked to major changes in the hypothalamic-pituitary-adrenal (HPA) axis, resulting in lifelong impairments through mental disorders, retardation, and sensitivity to stress. FASD are linked to an impaired immune system which consequently leads to an elevated risk of cancer and other diseases. FASD arise from a complex interplay of genetic and epigenetic factors. Here, we review current literature on the topic to tease apart what is known in these areas particularly emphasizing HPA axis dysfunction and how this ties into new studies of transgenerational inheritance in FASD.
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Affiliation(s)
- Edward A Mead
- Rutgers Endocrine Program, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Dipak K Sarkar
- Rutgers Endocrine Program, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
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Lu Y, Kang L, Hu K, Wang C, Sun X, Chen F, Kidd JR, Kidd KK, Li H. High diversity and no significant selection signal of human ADH1B gene in Tibet. INVESTIGATIVE GENETICS 2012; 3:23. [PMID: 23176670 PMCID: PMC3528464 DOI: 10.1186/2041-2223-3-23] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2012] [Accepted: 11/14/2012] [Indexed: 01/09/2023]
Abstract
UNLABELLED BACKGROUND ADH1B is one of the most studied human genes with many polymorphic sites. One of the single nucleotide polymorphism (SNP), rs1229984, coding for the Arg48His substitution, have been associated with many serious diseases including alcoholism and cancers of the digestive system. The derived allele, ADH1B*48His, reaches high frequency only in East Asia and Southwest Asia, and is highly associated with agriculture. Micro-evolutionary study has defined seven haplogroups for ADH1B based on seven SNPs encompassing the gene. Three of those haplogroups, H5, H6, and H7, contain the ADH1B*48His allele. H5 occurs in Southwest Asia and the other two are found in East Asia. H7 is derived from H6 by the derived allele of rs3811801. The H7 haplotype has been shown to have undergone significant positive selection in Han Chinese, Hmong, Koreans, Japanese, Khazak, Mongols, and so on. METHODS In the present study, we tested whether Tibetans also showed evidence for selection by typing 23 SNPs in the region covering the ADH1B gene in 1,175 individuals from 12 Tibetan populations representing all districts of the Tibet Autonomous Region. Multiple statistics were estimated to examine the gene diversities and positive selection signals among the Tibetans and other populations in East Asia. RESULTS The larger Tibetan populations (Qamdo, Lhasa, Nagqu, Nyingchi, Shannan, and Shigatse) comprised mostly farmers, have around 12% of H7, and 2% of H6. The smaller populations, living on hunting or recently switched to farming, have lower H7 frequencies (Tingri 9%, Gongbo 8%, Monba and Sherpa 6%). Luoba (2%) and Deng (0%) have even lower frequencies. Long-range haplotype analyses revealed very weak signals of positive selection for H7 among Tibetans. Interestingly, the haplotype diversity of H7 is higher in Tibetans than in any other populations studied, indicating a longer diversification history for that haplogroup in Tibetans. Network analysis on the long-range haplotypes revealed that H7 in the Han Chinese did not come from the Tibetans but from a common ancestor of the two populations. CONCLUSIONS We argue that H7 of ADH1B originated in the ancestors of Sino-Tibetan populations and flowed to Tibetans very early. However, as Tibetans depend less on crops, and therefore were not significantly affected by selection. Thus, H7 has not risen to a high frequency, whereas the diversity of the haplogroup has accumulated to a very high level.
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Affiliation(s)
- Yan Lu
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Longli Kang
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- Tibet University for Nationalities, Xianyang, Shaanxi, China
| | - Kang Hu
- Tibet University for Nationalities, Xianyang, Shaanxi, China
| | - Chuanchao Wang
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Xiaoji Sun
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Feng Chen
- Tibet University for Nationalities, Xianyang, Shaanxi, China
| | - Judith R Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
| | - Kenneth K Kidd
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
| | - Hui Li
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- Tibet University for Nationalities, Xianyang, Shaanxi, China
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
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Abstract
We propose that haplotyped loci with high heterozygosity can be useful in human identification, especially within families, if recombination is very low among the sites. Three or more SNPs extending over small molecular intervals (<10 KB) can be identified in the human genome to define miniature haplotypes with moderate levels of linkage disequilibrium. Properly selected, these mini-haplotypes (or minihaps) consist of multiple haplotype lineages (alleles) that have evolved from the ancestral human haplotype but show no evidence of recurring recombination, allowing each distinct haplotype to be equated with an allele, all copies of which are essentially identical by descent. Historic recombinants, representing rare events that have drifted to common frequencies over many generations, can be identified in some cases, they do not equate to frequently recurring recombination. We have identified examples in our data collected on various projects and present eight such mini-haplotypes comprised of informative SNPs. We also discuss the ideal characteristics and advantages of minihaps for human familial identification and ancestry inference, and compare them to other types of forensic markers in use and/or that have been proposed. We expect that it is possible to carry out a systematic search and identify a useful panel of mini-haplotypes, with even better properties than the examples presented here.
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