1
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Su H, Wang M, Li X, Duan S, Sun Q, Sun Y, Wang Z, Yang Q, Huang Y, Zhong J, Chen J, Jiang X, Ma J, Yang T, Liu Y, Luo L, Liu Y, Yang J, Chen G, Liu C, Cai Y, He G. Population genetic admixture and evolutionary history in the Shandong Peninsula inferred from integrative modern and ancient genomic resources. BMC Genomics 2024; 25:611. [PMID: 38890579 PMCID: PMC11184692 DOI: 10.1186/s12864-024-10514-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Ancient northern East Asians (ANEA) from the Yellow River region, who pioneered millet cultivation, play a crucial role in understanding the origins of ethnolinguistically diverse populations in modern China and the entire landscape of deep genetic structure and variation discovery in modern East Asians. However, the direct links between ANEA and geographically proximate modern populations, as well as the biological adaptive processes involved, remain poorly understood. RESULTS Here, we generated genome-wide SNP data for 264 individuals from geographically different Han populations in Shandong. An integrated genomic resource encompassing both modern and ancient East Asians was compiled to examine fine-scale population admixture scenarios and adaptive traits. The reconstruction of demographic history and hierarchical clustering patterns revealed that individuals from the Shandong Peninsula share a close genetic affinity with ANEA, indicating long-term genetic continuity and mobility in the lower Yellow River basin since the early Neolithic period. Biological adaptive signatures, including those related to immune and metabolic pathways, were identified through analyses of haplotype homozygosity and allele frequency spectra. These signatures are linked to complex traits such as height and body mass index, which may be associated with adaptations to cold environments, dietary practices, and pathogen exposure. Additionally, allele frequency trajectories over time and a haplotype network of two highly differentiated genes, ABCC11 and SLC10A1, were delineated. These genes, which are associated with axillary odor and bilirubin metabolism, respectively, illustrate how local adaptations can influence the diversification of traits in East Asians. CONCLUSIONS Our findings provide a comprehensive genomic dataset that elucidates the fine-scale genetic history and evolutionary trajectory of natural selection signals and disease susceptibility in Han Chinese populations. This study serves as a paradigm for integrating spatiotemporally diverse ancient genomes in the era of population genomic medicine.
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Affiliation(s)
- Haoran Su
- Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, China
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Laboratory Medicine, North Sichuan Medical College, Nanchong, 637007, Sichuan, 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.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, 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
| | - Shuhan Duan
- 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
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, 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
| | - 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
| | - Qingxin Yang
- 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
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
| | - Jie Zhong
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, 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
| | - Xiucheng Jiang
- 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
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, China
| | - Jinyue Ma
- 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
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, China
| | - Ting Yang
- 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
| | - Yunhui Liu
- 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
| | - Lintao Luo
- 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
| | - Yan Liu
- 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
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, China
| | - Junbao Yang
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, China
| | - Gang Chen
- Hunan Key Laboratory of Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410075, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
| | - Yan Cai
- Genetic and Prenatal Diagnosis Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637007, Sichuan, 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.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
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2
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Gao R, Yang K, Le S, Chen H, Sun X, Dong Z, Gao P, Wang X, Shi J, Qu Y, Wei X, Hu K, Wang J, Jin L, Li Y, Ge J, Sun A. Aldehyde dehydrogenase 2 serves as a key cardiometabolic adaptation regulator in response to plateau hypoxia in mice. Transl Res 2024; 267:25-38. [PMID: 38181846 DOI: 10.1016/j.trsl.2023.12.003] [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: 04/25/2023] [Revised: 12/08/2023] [Accepted: 12/22/2023] [Indexed: 01/07/2024]
Abstract
High-altitude heart disease (HAHD) is a complex pathophysiological condition related to systemic hypobaric hypoxia in response to transitioning to high altitude. Hypoxia can cause myocardial metabolic dysregulation, leading to an increased risk of heart failure and sudden cardiac death. Aldehyde dehydrogenase 2 (ALDH2) could regulate myocardial energy metabolism and plays a protective role in various cardiovascular diseases. This study aims to determine the effects of plateau hypoxia (PH) on cardiac metabolism and function, investigate the associated role of ALDH2, and explore potential therapeutic targets. We discovered that PH significantly reduced survival rate and cardiac function. These effects were exacerbated by ALDH2 deficiency. PH also caused a shift in the myocardial fuel source from fatty acids to glucose; ALDH2 deficiency impaired this adaptive metabolic shift. Untargeted/targeted metabolomics and transmission electron microscopy revealed that ALDH2 deficiency promoted myocardial fatty-acid deposition, leading to enhanced fatty-acid transport, lipotoxicity and mitochondrial dysfunction. Furthermore, results showed that ALDH2 attenuated PH-induced impairment of adaptive metabolic programs through 4-HNE/CPT1 signaling, and the CPT1 inhibitor etomoxir significantly ameliorated ALDH2 deficiency-induced cardiac impairment and improved survival in PH mice. Together, our data reveal ALDH2 acts as a key cardiometabolic adaptation regulator in response to PH. CPT1 inhibitor, etomoxir, may attenuate ALDH2 deficiency-induced effects and improved cardiac function in response to PH.
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Affiliation(s)
- Rifeng Gao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Cardiac Surgery, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China; Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
| | - Kun Yang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shiguan Le
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Hanchuan Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaolei Sun
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhen Dong
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pingjin Gao
- Department of Cardiovascular Medicine, State Key Laboratory of Medical Genomics, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China
| | - Xilu Wang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiaran Shi
- Department of Cardiology, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yanan Qu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiang Wei
- Department of Cardiology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
| | - Kai Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Viral Heart Diseases, National Health Commission, Shanghai, China; Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China
| | - Yi Li
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, and Human Phenome Institute, Fudan University, Shanghai, China.
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Viral Heart Diseases, National Health Commission, Shanghai, China; Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Aijun Sun
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Viral Heart Diseases, National Health Commission, Shanghai, China; Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, China; Department of Cardiovascular Medicine, State Key Laboratory of Medical Genomics, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
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3
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Sun Y, Wang M, Sun Q, Liu Y, Duan S, Wang Z, Zhou Y, Zhong J, Huang Y, Huang X, Yang Q, Li X, Su H, Cai Y, Jiang X, Chen J, Yan J, Nie S, Hu L, Yang J, Tang R, Wang CC, Liu C, Deng X, Yun L, He G. Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people. J Genet Genomics 2024; 51:517-530. [PMID: 37827489 DOI: 10.1016/j.jgg.2023.10.002] [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: 08/25/2023] [Revised: 09/28/2023] [Accepted: 10/04/2023] [Indexed: 10/14/2023]
Abstract
Tibeto-Burman (TB) people have endeavored to adapt to the hypoxic, cold, and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic period. However, the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people, as well as their interaction mechanism, remain unknown. Here, we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity, admixture history, and differentiated adaptative features of geographically different TB-speaking people. We identify genetic differentiation related to geography and language among TB-speaking people, consistent with their differentiated admixture process with incoming or indigenous ancestral source populations. A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin hypothesis. We finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish speakers. Adaptative signatures associated with the physical pigmentation (EDAR and SLC24A5) and metabolism (ALDH9A1) are identified in Loloish people, which differed from the high-altitude adaptative genetic architecture in Tibetan. TB-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.
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Affiliation(s)
- Yuntao Sun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China; Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510275, China; Guangzhou Forensic Science Institute, Guangzhou, Guangdong 510055, China.
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Yunyu Zhou
- School of Stomatology, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jun Zhong
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China
| | - Xinyu Huang
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qingxin Yang
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Xiangping Li
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Haoran Su
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Yan Cai
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China; Department of Medical Laboratory, North Sichuan Medical College, Nanchong, Sichuan 637007, China
| | - Xiucheng Jiang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Liping Hu
- School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Junbao Yang
- School of Clinical Medical Sciences, North Sichuan Medical College, Nanchong, Sichuan 637100, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400331, China
| | - Chuan-Chao Wang
- School of Life Sciences, Xiamen University, Xiamen, Fujian 361005, China
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong 510230, China
| | - Xiaohui Deng
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Libing Yun
- West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan 610000, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610000, China.
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4
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Liu X, Koyama S, Tomizuka K, Takata S, Ishikawa Y, Ito S, Kosugi S, Suzuki K, Hikino K, Koido M, Koike Y, Horikoshi M, Gakuhari T, Ikegawa S, Matsuda K, Momozawa Y, Ito K, Kamatani Y, Terao C. Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. SCIENCE ADVANCES 2024; 10:eadi8419. [PMID: 38630824 PMCID: PMC11023554 DOI: 10.1126/sciadv.adi8419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 03/07/2024] [Indexed: 04/19/2024]
Abstract
We generated Japanese Encyclopedia of Whole-Genome/Exome Sequencing Library (JEWEL), a high-depth whole-genome sequencing dataset comprising 3256 individuals from across Japan. Analysis of JEWEL revealed genetic characteristics of the Japanese population that were not discernible using microarray data. First, rare variant-based analysis revealed an unprecedented fine-scale genetic structure. Together with population genetics analysis, the present-day Japanese can be decomposed into three ancestral components. Second, we identified unreported loss-of-function (LoF) variants and observed that for specific genes, LoF variants appeared to be restricted to a more limited set of transcripts than would be expected by chance, with PTPRD as a notable example. Third, we identified 44 archaic segments linked to complex traits, including a Denisovan-derived segment at NKX6-1 associated with type 2 diabetes. Most of these segments are specific to East Asians. Fourth, we identified candidate genetic loci under recent natural selection. Overall, our work provided insights into genetic characteristics of the Japanese population.
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Affiliation(s)
- Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
| | - Satoshi Koyama
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Sadaaki Takata
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yuki Ishikawa
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shuji Ito
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Bone and Joint Diseases, RIKEN Center for Medical Sciences, Tokyo, Japan
- Department of Orthopedic Surgery, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Shunichi Kosugi
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kunihiko Suzuki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaru Koido
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshinao Koike
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Bone and Joint Diseases, RIKEN Center for Medical Sciences, Tokyo, Japan
- Department of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Momoko Horikoshi
- Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Takashi Gakuhari
- Institute for the Study of Ancient Civilizations and Cultural Resources, College of Human and Social Sciences, Kanazawa University, Kanazawa, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Medical Sciences, Tokyo, Japan
| | - Kochi Matsuda
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
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5
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Chen S, Wu C, Qian C, Pang Y, Guo K, Wang T, Bai L, Qian F, Ye Z, Liu Z, Qiao Z, Wang Y, Wang R. Ultraspecific One-Pot CRISPR-Based "Green-Yellow-Red" Multiplex Detection Strategy Integrated with Portable Cartridge for Point-of-Care Diagnosis. Anal Chem 2024. [PMID: 38324761 DOI: 10.1021/acs.analchem.3c05493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Versatile, informative, sensitive, and specific nucleic acid detection plays a crucial role in point-of-care pathogen testing, genotyping, and disease monitoring. In this study, we present a novel one-pot Cas12b-based method coupled with the "Green-Yellow-Red" strategy for multiplex detection. By integrating RT-LAMP amplification and Cas12b cleavage in a single tube, the entire detection process can be completed within 1 h. Our proposed method exhibits high specificity, enabling the discrimination of single-base mutations with detection sensitivity approaching single molecule levels. Additionally, the fluorescent results can be directly observed by the naked eye or automatically analyzed using our custom-designed software Result Analyzer. To realize point-of-care detection, we developed a portable cartridge capable of both heating and fluorescence excitation. In a clinical evaluation involving 20 potentially SARS-CoV-2-infected samples, our method achieved a 100% positive detection rate when compared to standard RT-PCR. Furthermore, the identification of SARS-CoV-2 variants using our method yielded results that were consistent with the sequencing results. Notably, our proposed method demonstrates excellent transferability, allowing for the simultaneous detection of various pathogens and the identification of mutations as low as 0.5% amidst a high background interference. These findings highlight the tremendous potential of our developed method for molecular diagnostics.
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Affiliation(s)
- Shuaiwei Chen
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
| | - Cui Wu
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, China
| | - Chunyan Qian
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
- Clinical Laboratory, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 311100, China
| | - Yanan Pang
- Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Kaiming Guo
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
| | - Ting Wang
- Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Department of Hematology, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Linlin Bai
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
| | - Feng Qian
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
| | - Zunzhong Ye
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Zhenping Liu
- Clinical Laboratory, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 311100, China
| | - Zhaohui Qiao
- College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315800, China
| | - Yongming Wang
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
- Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 200438, China
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Rui Wang
- Human Phenome Institute, State Key Laboratory of Genetic Engineering, School of life science, Fudan University, Shanghai 200438, China
- Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 200438, China
- International Human Phenome Institutes, Shanghai 200438, China
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Luo H, Zhang P, Zhang W, Zheng Y, Hao D, Shi Y, Niu Y, Song T, Li Y, Zhao S, Chen H, Xu T, He S. Recent positive selection signatures reveal phenotypic evolution in the Han Chinese population. Sci Bull (Beijing) 2023; 68:2391-2404. [PMID: 37661541 DOI: 10.1016/j.scib.2023.08.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/08/2023] [Accepted: 08/10/2023] [Indexed: 09/05/2023]
Abstract
Characterizing natural selection signatures and relationships with phenotype spectra is important for understanding human evolution and both biological and pathological mechanisms. Here, we identified 24 genetic loci under recent selection by analyzing rare singletons in 3946 high-depth whole-genome sequencing data of Han Chinese. The loci include immune-related gene regions (MHC cluster, IGH cluster, STING1, and PSG), alcohol metabolism-related gene regions (ADH1B, ALDH2, and ALDH3B2), and the olfactory perception gene OR4C16, in which the MHC cluster, ADH1B, and ALDH2 were also identified by TOPMed and WestLake Biobank. Among the signals, the IGH cluster is particularly interesting, in which the favored allele of variant 14_105737776_C_T (rs117518546, IgG1-G396R) promotes immune response, but also increases the risk of an autoimmune disease systemic lupus erythematosus (SLE). It is also surprising that our newly discovered ALDH3B2 evolved in the opposite direction to ALDH2 for alcohol metabolism. Besides monogenic traits, we found that multiple complex traits experienced polygenic adaptation. Particularly, multi-methods consistently revealed that lower blood pressure was favored in natural selection. Finally, we built a database named RePoS (recent positive selection, http://bigdata.ibp.ac.cn/RePoS/) to integrate and display multi-population selection signals. Our study extended our understanding of natural evolution and phenotype adaptation in Han Chinese as well as other populations.
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Affiliation(s)
- Huaxia Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Peng Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wanyu Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yu Zheng
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Di Hao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yirong Shi
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiwei Niu
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyan Li
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shilei Zhao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China
| | - Hua Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China.
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China.
| | - Shunmin He
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
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Aldehyde dehydrogenase 2-associated metabolic abnormalities and cardiovascular diseases: current status, underlying mechanisms, and clinical recommendations. CARDIOLOGY PLUS 2022. [DOI: 10.1097/cp9.0000000000000002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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