Article Contents
REVIEW   Open Access     Cite

Genome-driven Chinese precision medicine: Biobank-scale genomic research as a new paradigm

More Information
  • DownLoad: Full size image
    1. Integrating population and medical genomics has advanced genome-driven precision medicine.

      Large-scale genomic datasets enhance disease prediction, treatment, and human diversity insights.

      Chinese genomic studies boost PRS accuracy, pharmacogenomics, and precise disease subtyping.

      This study emphasizes extensive sampling, high-throughput sequencing, and representative genomic databases.

  • Large-scale genomic resources from biobank sequencing projects are crucial for understanding the interplay between environmental and genetic factors in human disease and health traits, as well as for reconstructing human evolutionary history. We summarize recent advances in genomic cohorts and highlight opportunities for non-Eurocentric populations from a multidisciplinary perspective. Initiatives like the UK100K, All of Us, and TOPMed precision medicine programs have shifted research paradigms from problem-derived to data-driven approaches, enhancing our understanding of the genetic architecture of diseases in Europeans and their descendants. However, biases persist, such as the Han bias in Chinese genomic projects focused on medical and anthropological purposes. These biases contribute to global genomic inequalities and disparities in Chinese precision medicine. Evolutionary genomic studies of modern and ancient genomes provide new insights into the history and adaptive trajectories of critical human genetic mutations. These findings underscore the importance of personal genome medicine tailored to ethnolinguistically and genetically diverse populations. This strategy is vital for assessing disease burden and understanding the etiology of human disease. Our work emphasizes the need to include underrepresented genomic diversity to create a comprehensive catalog of human genetic variations and understand their biological implications.
  • 加载中
  • [1] Lander E. S., Linton L. M., Birren B., et al. (2001). Initial sequencing and analysis of the human genome. Nature 409:860−921. DOI:10.1038/35057062

    View in Article CrossRef Google Scholar Scopus

    [2] Venter J. C., Adams M. D., Myers E. W., et al. (2001). The sequence of the human genome. Science 291:1304−1351. DOI:10.1126/science.1058040

    View in Article CrossRef Google Scholar Scopus

    [3] International HapMap C. (2003). The International HapMap Project. Nature 426:789−796. DOI:10.1038/nature02168

    View in Article CrossRef Google Scholar

    [4] Byrska-Bishop M., Evani U. S., Zhao X., et al. (2022). High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios. Cell 185:3426-3440 e3419. DOI:10.1016/j.cell.2022.08.004.

    View in Article Google Scholar

    [5] Genomes Project C., Auton A., Brooks L. D., et al. (2015). A global reference for human genetic variation. Nature 526:68−74. DOI:10.1038/nature15393

    View in Article CrossRef Google Scholar Scopus

    [6] Mallick S., Li H., Lipson M., et al. (2016). The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 538:201−206. DOI:10.1038/nature18964

    View in Article CrossRef Google Scholar Scopus

    [7] Wang T., Antonacci-Fulton L., Howe K., et al. (2022). The Human Pangenome Project: a global resource to map genomic diversity. Nature 604:437−446. DOI:10.1038/s41586-022-04601-8

    View in Article CrossRef Google Scholar Scopus

    [8] Halldorsson B. V., Eggertsson H. P., Moore K. H. S., et al. (2022). The sequences of 150,119 genomes in the UK Biobank. Nature 607:732−740. DOI:10.1038/s41586-022-04965-x

    View in Article CrossRef Google Scholar Scopus

    [9] Turnbull C., Scott R. H., Thomas E., et al. (2018). The 100 000 Genomes Project: bringing whole genome sequencing to the NHS. BMJ (Clinical research ed.) 361:k1687. DOI:10.1136/bmj.k1687

    View in Article CrossRef Google Scholar

    [10] Taliun D., Harris D. N., Kessler M. D., et al. (2021). Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature 590:290−299. DOI:10.1038/s41586-021-03205-y

    View in Article CrossRef Google Scholar Scopus

    [11] All of Us Research Program Genomics I. (2024). Genomic data in the All of Us Research Program. Nature 627:340−346. DOI:10.1038/s41586-023-06957-x

    View in Article CrossRef Google Scholar Scopus

    [12] Chen S., Francioli L. C., Goodrich J. K., et al. (2024). A genomic mutational constraint map using variation in 76,156 human genomes. Nature 625:92−100. DOI:10.1038/s41586-023-06045-0

    View in Article CrossRef Google Scholar Scopus

    [13] Wonkam A. (2021). Sequence three million genomes across Africa. Nature 590:209−211. DOI:10.1038/d41586-021-00313-7

    View in Article CrossRef Google Scholar Scopus

    [14] Choudhury A., Aron S., Botigue L. R., et al. (2020). High-depth African genomes inform human migration and health. Nature 586:741−748. DOI:10.1038/s41586-020-2859-7

    View in Article CrossRef Google Scholar Scopus

    [15] Fatumo S., Yakubu A., Oyedele O., et al. (2022). Promoting the genomic revolution in Africa through the Nigerian 100K Genome Project. Nat. Genet. 54:531−536. DOI:10.1038/s41588-022-01071-6

    View in Article CrossRef Google Scholar Scopus

    [16] Fatumo S., Mugisha J., Soremekun O. S., et al. (2022). Uganda Genome Resource: A rich research database for genomic studies of communicable and non-communicable diseases in Africa. Cell Genom. 2:100209. DOI:10.1016/j.xgen.2022.100209.

    View in Article Google Scholar

    [17] GenomeAsia K. C. (2019). The GenomeAsia 100K Project enables genetic discoveries across Asia. Nature 576:106−111. DOI:10.1038/s41586-019-1793-z

    View in Article CrossRef Google Scholar Scopus

    [18] Stark Z., Boughtwood T., Phillips P., et al. (2019). Australian genomics: A federated model for integrating genomics into healthcare. Am. J. Hum. Genet. 105:7−14. DOI:10.1016/j.ajhg.2019.06.003

    View in Article CrossRef Google Scholar

    [19] Ziyatdinov A., Torres J., Alegre-Diaz J., et al. (2023). Genotyping, sequencing and analysis of 140,000 adults from Mexico City. Nature 622:784−793. DOI:10.1038/s41586-023-06595-3

    View in Article CrossRef Google Scholar Scopus

    [20] Sohail M., Palma-Martinez M. J., Chong A. Y., et al. (2023). Mexican Biobank advances population and medical genomics of diverse ancestries. Nature 622:775−783. DOI:10.1038/s41586-023-06560-0

    View in Article CrossRef Google Scholar Scopus

    [21] Leitsalu L. and Metspalu A. (2017). From biobanking to precision medicine:The estonian experience. In Genomic and precision medicine (Elsevier), pp: 119-129.

    View in Article Google Scholar

    [22] Metspalu A., Kohler F., Laschinski G., et al. (2004). [The Estonian Genome Project in the context of European genome research]. Dtsch Med Wochenschr 129 Suppl 1:S25-28. DOI:10.1055/s-2004-824840

    View in Article Google Scholar

    [23] Leitsalu L., Haller T., Esko T., et al. (2015). Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu. Int J Epidemiol 44:1137−1147. DOI:10.1093/ije/dyt268

    View in Article CrossRef Google Scholar

    [24] Gudbjartsson D. F., Helgason H., Gudjonsson S. A., et al. (2015). Large-scale whole-genome sequencing of the Icelandic population. Nat. Genet. 47:435−444. DOI:10.1038/ng.3247

    View in Article CrossRef Google Scholar Scopus

    [25] Kurki M. I., Karjalainen J., Palta P., et al. (2023). FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 613:508−518. DOI:10.1038/s41586-022-05473-8

    View in Article CrossRef Google Scholar Scopus

    [26] Brody J. A., Morrison A. C., Bis J. C., et al. (2017). Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology. Nat. Genet. 49:1560−1563. DOI:10.1038/ng.3968

    View in Article CrossRef Google Scholar Scopus

    [27] Nagasaki M., Yasuda J., Katsuoka F., et al. (2015). Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals. Nat. Commun. 6:8018. DOI:10.1038/ncomms9018

    View in Article CrossRef Google Scholar Scopus

    [28] Jeon S., Bhak Y., Choi Y., et al. (2020). Korean Genome Project: 1094 Korean personal genomes with clinical information. Sci. Adv. 6:eaaz7835. DOI:10.1126/sciadv.aaz7835

    View in Article Google Scholar

    [29] Wu D., Dou J., Chai X., et al. (2019). Large-Scale Whole-Genome Sequencing of Three Diverse Asian Populations in Singapore. Cell 179:736-749 e715. DOI:10.1016/j.cell.2019.09.019.

    View in Article Google Scholar

    [30] Wong E., Bertin N., Hebrard M., et al. (2023). The Singapore National Precision Medicine Strategy. Nat. Genet. 55:178−186. DOI:10.1038/s41588-022-01274-x

    View in Article CrossRef Google Scholar Scopus

    [31] Cao Y., Li L., Xu M., et al. (2020). The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals. Cell Res. 30:717−731. DOI:10.1038/s41422-020-0322-9

    View in Article CrossRef Google Scholar Scopus

    [32] Chiang C. W. K., Mangul S., Robles C., et al. (2018). A comprehensive map of genetic variation in the world's largest ethnic group-Han Chinese. Mol. Biol. Evol. 35:2736−2750. DOI:10.1093/molbev/msy170

    View in Article CrossRef Google Scholar

    [33] Jiang T., Guo H., Liu Y., et al. (2024). A comprehensive genetic variant reference for the Chinese population. Sci. Bull. (Beijing) 69:3820−3825. DOI:10.1016/j.scib.2024.06.017

    View in Article CrossRef Google Scholar Scopus

    [34] Sirugo G., Williams S. M. and Tishkoff S. A. (2019). The missing diversity in human genetic studies. Cell 177:26−31. DOI:10.1016/j.cell.2019.02.048

    View in Article CrossRef Google Scholar

    [35] Popejoy A. B. and Fullerton S. M. (2016). Genomics is failing on diversity. Nature 538:161−164. DOI:10.1038/538161a

    View in Article CrossRef Google Scholar Scopus

    [36] Mao X., Zhang H., Qiao S., et al. (2021). The deep population history of northern East Asia from the Late Pleistocene to the Holocene. Cell 184:3256-3266 e3213. DOI:10.1016/j.cell.2021.04.040.

    View in Article Google Scholar

    [37] Wang T., Wang W., Xie G., et al. (2021). Human population history at the crossroads of East and Southeast Asia since 11,000 years ago. Cell 184:3829-3841.e3821. DOI:10.1016/j.cell.2021.05.018.

    View in Article Google Scholar

    [38] Wang C. C., Yeh H. Y., Popov A. N., et al. (2021). Genomic insights into the formation of human populations in East Asia. Nature 591:413−419. DOI:10.1038/s41586-021-03336-2

    View in Article CrossRef Google Scholar Scopus

    [39] Kumar V., Wang W., Zhang J., et al. (2022). Bronze and Iron Age population movements underlie Xinjiang population history. Science 376:62−69. DOI:10.1126/science.abk1534

    View in Article CrossRef Google Scholar Scopus

    [40] Yang M. A., Fan X., Sun B., et al. (2020). Ancient DNA indicates human population shifts and admixture in northern and southern China. Science 369:282−288. DOI:10.1126/science.aba0909

    View in Article CrossRef Google Scholar Scopus

    [41] Liu Y., Mao X., Krause J., et al. (2021). Insights into human history from the first decade of ancient human genomics. Science 373:1479-1484. DOI:10.1126/science.abi8202

    View in Article Google Scholar

    [42] He G., Wang M., Luo L., et al. (2024). Population genomics of Central Asian peoples unveil ancient Trans-Eurasian genetic admixture and cultural exchanges. hLife 2:554−562. DOI:10.1016/j.hlife.2024.06.006

    View in Article CrossRef Google Scholar Scopus

    [43] Lipson M., Cheronet O., Mallick S., et al. (2018). Ancient genomes document multiple waves of migration in Southeast Asian prehistory. Science 361:92−95. DOI:10.1126/science.aat3188

    View in Article CrossRef Google Scholar Scopus

    [44] McColl H., Racimo F., Vinner L., et al. (2018). The prehistoric peopling of Southeast Asia. Science 361:88−92. DOI:10.1126/science.aat3628

    View in Article CrossRef Google Scholar Scopus

    [45] Ning C., Li T., Wang K., et al. (2020). Ancient genomes from northern China suggest links between subsistence changes and human migration. Nat. Commun. 11:2700. DOI:10.1038/s41467-020-16557-2

    View in Article CrossRef Google Scholar Scopus

    [46] Lim E. T., Wurtz P., Havulinna A. S., et al. (2014). Distribution and medical impact of loss-of-function variants in the Finnish founder population. PLoS Genet. 10:e1004494. DOI:10.1371/journal.pgen.1004494

    View in Article CrossRef Google Scholar

    [47] Xue Y., Mezzavilla M., Haber M., et al. (2017). Enrichment of low-frequency functional variants revealed by whole-genome sequencing of multiple isolated European populations. Nat. Commun. 8:15927. DOI:10.1038/ncomms15927

    View in Article CrossRef Google Scholar Scopus

    [48] Zuk O., Schaffner S. F., Samocha K., et al. (2014). Searching for missing heritability: designing rare variant association studies. Proc. Natl. Acad. Sci. USA 111:E455−464. DOI:10.1073/pnas.1322563111

    View in Article CrossRef Google Scholar

    [49] Genovese G., Tonna S. J., Knob A. U., et al. (2010). A risk allele for focal segmental glomerulosclerosis in African Americans is located within a region containing APOL1 and MYH9. Kidney Int. 78:698−704. DOI:10.1038/ki.2010.251

    View in Article CrossRef Google Scholar Scopus

    [50] Rotimi C. N., Bentley A. R., Doumatey A. P., et al. (2017). The genomic landscape of African populations in health and disease. Hum. Mol. Genet. 26:R225−R236. DOI:10.1093/hmg/ddx253

    View in Article CrossRef Google Scholar Scopus

    [51] Cohen J., Pertsemlidis A., Kotowski I. K., et al. (2005). Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9. Nat. Genet. 37:161−165. DOI:10.1038/ng1509

    View in Article CrossRef Google Scholar Scopus

    [52] Huang S., Liu S., Huang M., et al. (2024). The Born in Guangzhou Cohort Study enables generational genetic discoveries. Nature 626:565−573. DOI:10.1038/s41586-023-06988-4

    View in Article CrossRef Google Scholar Scopus

    [53] Reis A. L. M., Rapadas M., Hammond J. M., et al. (2023). The landscape of genomic structural variation in Indigenous Australians. Nature 624:602−610. DOI:10.1038/s41586-023-06842-7

    View in Article CrossRef Google Scholar Scopus

    [54] He G., Yao H., Duan S., et al. (2025). Pilot work of the 10K Chinese People Genomic Diversity Project along the Silk Road suggests a complex east-west admixture landscape and biological adaptations. Sci. China Life Sci. DOI:10.1007/s11427-024-2748-4.

    View in Article Google Scholar

    [55] Cong P. K., Bai W. Y., Li J. C., et al. (2022). Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project. Nat. Commun. 13:2939. DOI:10.1038/s41467-022-30526-x

    View in Article CrossRef Google Scholar Scopus

    [56] Wang C., Dai J., Qin N., et al. (2022). Analyses of rare predisposing variants of lung cancer in 6,004 whole genomes in Chinese. Cancer Cell 40:1223-1239.e1226. DOI:10.1016/j.ccell.2022.08.013.

    View in Article Google Scholar

    [57] Tadaka S., Katsuoka F., Ueki M., et al. (2019). 3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome. Hum. Genome Var. 6:28. DOI:10.1038/s41439-019-0059-5.

    View in Article Google Scholar

    [58] Liu X., Koyama S., Tomizuka K., et al. (2024). Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10:eadi8419. DOI:10.1126/sciadv.adi8419

    View in Article CrossRef Google Scholar Scopus

    [59] Cavalli-Sforza L. L. (1998). The Chinese human genome diversity project. Proc. Natl. Acad. Sci. USA 95:11501−11503. DOI:10.1073/pnas.95.20.11501

    View in Article CrossRef Google Scholar Scopus

    [60] Chu J. Y., Huang W., Kuang S. Q., et al. (1998). Genetic relationship of populations in China. Proc. Natl. Acad. Sci. USA 95:11763−11768. DOI:10.1073/pnas.95.20.11763

    View in Article CrossRef Google Scholar Scopus

    [61] Ke Y., Su B., Song X., et al. (2001). African origin of modern humans in East Asia: a tale of 12,000 Y chromosomes. Science 292:1151−1153. DOI:10.1126/science.1060011

    View in Article CrossRef Google Scholar

    [62] Wen B., Li H., Lu D., et al. (2004). Genetic evidence supports demic diffusion of Han culture. Nature 431:302−305. DOI:10.1038/nature02878

    View in Article CrossRef Google Scholar Scopus

    [63] Wang M., Sun Q., Feng Y., et al. (2024). Paleolithic divergence and multiple Neolithic expansions of ancestral nomadic emperor-related paternal lineages. J. Genet. Genomics. DOI:10.1016/j.jgg.2024.11.012.

    View in Article Google Scholar

    [64] Wang M., Liu Y., Luo L., et al. (2024). Genomic insights into Neolithic founding paternal lineages around the Qinghai-Xizang Plateau using integrated YanHuang resource. iScience 27:111456. DOI:10.1016/j.isci.2024.111456

    View in Article CrossRef Google Scholar

    [65] Wang M., Huang Y., Liu K., et al. (2024). Multiple human population movements and cultural dispersal events shaped the landscape of Chinese paternal heritage. Mol. Biol. Evol. 41. DOI:10.1093/molbev/msae122.

    View in Article Google Scholar

    [66] Wang M., Chen H., Luo L., et al. (2024). Forensic investigative genetic genealogy: expanding pedigree tracing and genetic inquiry in the genomic era. J. Genet. Genomics. DOI:10.1016/j.jgg.2024.06.016.

    View in Article Google Scholar

    [67] Sun Y., Wang M., Sun Q., et al. (2024). Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people. J. Genet. Genomics 51:517−530. DOI:10.1016/j.jgg.2023.10.002

    View in Article CrossRef Google Scholar Scopus

    [68] Consortium H. P.-A. S., Abdulla M. A., Ahmed I., et al. (2009). Mapping human genetic diversity in Asia. Science 326:1541−1545. DOI:10.1126/science.1177074

    View in Article CrossRef Google Scholar Scopus

    [69] Luo L., Wang M., Liu Y., et al. (2025). Sequencing and characterizing human mitochondrial genomes in the biobank-based genomic research paradigm. Sci. China Life Sci.. DOI:10.1007/s11427-024-2736-7.

    View in Article Google Scholar

    [70] Chen J., Zheng H., Bei J. X., et al. (2009). Genetic structure of the Han Chinese population revealed by genome-wide SNP variation. Am. J. Hum. Genet. 85:775−785. DOI:10.1016/j.ajhg.2009.10.016

    View in Article CrossRef Google Scholar

    [71] Xu S., Yin X., Li S., et al. (2009). Genomic dissection of population substructure of Han Chinese and its implication in association studies. Am. J. Hum. Genet. 85:762−774. DOI:10.1016/j.ajhg.2009.10.015

    View in Article CrossRef Google Scholar

    [72] Cai N., Bigdeli T. B., Kretzschmar W. W., et al. (2017). 11,670 whole-genome sequences representative of the Han Chinese population from the CONVERGE project. Sci. Data 4:170011. DOI:10.1038/sdata.2017.11

    View in Article CrossRef Google Scholar Scopus

    [73] Gao Y., Zhang C., Yuan L., et al. (2020). PGG Han: The Han Chinese genome database and analysis platform. Nucleic Acids Res. 48:D971−D976. DOI:10.1093/nar/gkz829

    View in Article CrossRef Google Scholar

    [74] Liu S., Huang S., Chen F., et al. (2018). Genomic analyses from non-invasive prenatal testing reveal genetic associations, patterns of viral infections, and Chinese population history. Cell 175:347-359.e314. DOI:10.1016/j.cell.2018.08.016.

    View in Article Google Scholar

    [75] Li Z., Jiang X., Fang M., et al. (2023). CMDB: the comprehensive population genome variation database of China. Nucleic Acids Res. 51:D890−D895. DOI:10.1093/nar/gkac638

    View in Article CrossRef Google Scholar Scopus

    [76] Liu S., Zhong M., Huang Y., et al. (2023). Quantitative thresholds for variant enrichment in 13,845 cases: Improving pathogenicity classification in genetic hearing loss. Genome Med. 15:116. DOI:10.1186/s13073-023-01271-7

    View in Article CrossRef Google Scholar

    [77] Zhang P., Luo H., Li Y., et al. (2021). NyuWa Genome resource: A deep whole-genome sequencing-based variation profile and reference panel for the Chinese population. Cell Rep. 37:110017. DOI:10.1016/j.celrep.2021.110017

    View in Article CrossRef Google Scholar Scopus

    [78] Cheng S., Xu Z., Bian S., et al. (2023). 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. 9:75. DOI:10.1038/s41421-023-00582-8

    View in Article CrossRef Google Scholar Scopus

    [79] Yu C., Lan X., Tao Y., et al. (2023). A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study. Nucleic Acids Res. 51:11770−11782. DOI:10.1093/nar/gkad779

    View in Article CrossRef Google Scholar Scopus

    [80] Walters R. G., Millwood I. Y., Lin K., et al. (2023). Genotyping and population characteristics of the China Kadoorie Biobank. Cell Genom. 3:100361. DOI:10.1016/j.xgen.2023.100361

    View in Article CrossRef Google Scholar Scopus

    [81] Yang Q., Sun Y., Duan S., et al. (2025). High-quality Population-specific Haplotype-resolved Reference Panel in the Genomic and Pangenomic Eras. Genomics, Proteomics Bioinf. Online ahead of print. DOI:10.1093/gpbjnl/qzaf022

    View in Article Google Scholar

    [82] Cheng S., Xu Z., Liu Y., et al. (2021). Whole genome sequencing of 10K patients with acute ischaemic stroke or transient ischaemic attack: design, methods and baseline patient characteristics. Stroke Vasc. Neurol. 6:291−297. DOI:10.1136/svn-2020-000664

    View in Article CrossRef Google Scholar

    [83] Feng Y. A., Chen C. Y., Chen T. T., et al. (2022). Taiwan Biobank: A rich biomedical research database of the Taiwanese population. Cell Genom. 2:100197. DOI:10.1016/j.xgen.2022.100197

    View in Article CrossRef Google Scholar Scopus

    [84] Du Z. L., Ma L., Qu H. Z., et al. (2019). Whole Genome Analyses of Chinese Population and Assembly of A Northern Han Genome. Genom. Proteom. Bioinf. 17:229−247. DOI:10.1016/j.gpb.2019.07.002

    View in Article CrossRef Google Scholar

    [85] Hao M., Pu W., Li Y., et al. (2021). The HuaBiao project: whole-exome sequencing of 5000 Han Chinese individuals. J. Genet. Genomics. 48:1032−1035. DOI:10.1016/j.jgg.2021.07.013

    View in Article CrossRef Google Scholar Scopus

    [86] Peng M. S., Quang H. H., Dang K. P., et al. (2010). Tracing the Austronesian footprint in Mainland Southeast Asia: a perspective from mitochondrial DNA. Mol. Biol. Evol. 27:2417−2430. DOI:10.1093/molbev/msq131

    View in Article CrossRef Google Scholar

    [87] Pan Y., Zhang C., Lu Y., et al. (2022). Genomic diversity and post-admixture adaptation in the Uyghurs. Natl. Sci. Rev. 9:nwab124. DOI:10.1093/nsr/nwab124

    View in Article CrossRef Google Scholar Scopus

    [88] Yang Z., Bai C., Pu Y., et al. (2022). Genetic adaptation of skin pigmentation in highland Tibetans. Proc. Natl .Acad. Sci. USA 119:e2200421119. DOI:10.1073/pnas.2200421119

    View in Article CrossRef Google Scholar Scopus

    [89] He G., Wang P., Chen J., et al. (2024). Differentiated genomic footprints suggest isolation and long-distance migration of Hmong-Mien populations. BMC Biol. 22:18. DOI:10.1186/s12915-024-01828-x

    View in Article CrossRef Google Scholar Scopus

    [90] Zheng W., He Y., Guo Y., et al. (2023). Large-scale genome sequencing redefines the genetic footprints of high-altitude adaptation in Tibetans. Genome Biol. 24:73. DOI:10.1186/s13059-023-02912-1

    View in Article CrossRef Google Scholar Scopus

    [91] Gao Y., Yang X., Chen H., et al. (2023). A pangenome reference of 36 Chinese populations. Nature 619:112−121. DOI:10.1038/s41586-023-06173-7

    View in Article CrossRef Google Scholar Scopus

    [92] He G., Yao H., Sun Q., et al. (2023). Whole-genome sequencing of ethnolinguistic diverse northwestern Chinese Hexi Corridor people from the 10K_CPGDP project suggested the differentiated East-West genetic admixture along the Silk Road and their biological adaptations. bioRxiv:2023.2002.2026.530053. DOI:10.1101/2023.02.26.530053

    View in Article Google Scholar

    [93] Wang M., Huang Y., Liu K., et al. (2024). Multiple Human Population Movements and Cultural Dispersal Events Shaped the Landscape of Chinese Paternal Heritage. Mol Biol Evol 41:2023.2008.2028.555114. DOI:10.1093/molbev/msae122.

    View in Article Google Scholar

    [94] Wang Z., Wang M., Liu K., et al. (2023). Paternal genomic resources from the YanHuang cohort suggested a Weakly-Differentiated Multi-source Admixture model for the formation of Han’s founding ancestral lineages. bioRxiv.:2023.2011.2008.566335. DOI:10.1101/2023.11.08.566335

    View in Article Google Scholar

    [95] He G. L., Wang M. G., Zou X., et al. (2023). Extensive ethnolinguistic diversity at the crossroads of North China and South Siberia reflects multiple sources of genetic diversity. J. Syst. Evol. 61:230−250. DOI:10.1111/jse.12827

    View in Article CrossRef Google Scholar Scopus

    [96] Li X., Wang M., Su H., et al. (2024). Evolutionary history and biological adaptation of Han Chinese people on the Mongolian Plateau. hLife 2:296−313. DOI:10.1016/j.hlife.2024.04.005

    View in Article CrossRef Google Scholar Scopus

    [97] Sun Y., Wang M., Sun Q., et al. (2023). Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people. J. Genet. Genomics. 51:517-530DOI:10.1016/j.jgg.2023.10.002

    View in Article Google Scholar

    [98] Lu D., Lou H., Yuan K., et al. (2016). Ancestral origins and genetic history of Tibetan Highlanders. Am. J. Hum. Genet. 99:580−594. DOI:10.1016/j.ajhg.2016.07.002

    View in Article CrossRef Google Scholar

    [99] Zhang C., Lu Y., Feng Q., et al. (2017). Differentiated demographic histories and local adaptations between Sherpas and Tibetans. Genome Biol. 18:115. DOI:10.1186/s13059-017-1242-y

    View in Article CrossRef Google Scholar Scopus

    [100] Chen H., Lin R., Lu Y., et al. (2022). Tracing Bai-Yue ancestry in Aboriginal Li people on Hainan Island. Mol. Biol. Evol. 39:msac210. DOI:10.1093/molbev/msac210

    View in Article CrossRef Google Scholar

    [101] Yang C., Zhang X., Yan S., et al. (2024). Large-scale lexical and genetic alignment supports a hybrid model of Han Chinese demic and cultural diffusions. Nat. Hum. Behav. 8:1163−1176. DOI:10.1038/s41562-024-01886-9

    View in Article CrossRef Google Scholar Scopus

    [102] Loh P. R., Danecek P., Palamara P. F., et al. (2016). Reference-based phasing using the Haplotype Reference Consortium panel. Nat. Genet. 48:1443−1448. DOI:10.1038/ng.3679

    View in Article CrossRef Google Scholar Scopus

    [103] consortium C. (2015). Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature 523:588−591. DOI:10.1038/nature14659

    View in Article CrossRef Google Scholar Scopus

    [104] Yang Y., Xu S., Hong Y., et al. (2024). Computational modeling for medical data: From data collection to knowledge discovery. The Innovation Life 2:100079. DOI:10.59717/j.xinn-life.2024.100079

    View in Article CrossRef Google Scholar

    [105] Rubinacci S., Hofmeister R. J., Sousa da Mota B., et al. (2023). Imputation of low-coverage sequencing data from 150,119 UK Biobank genomes. Nat. Genet. 55:1088−1090. DOI:10.1038/s41588-023-01438-3

    View in Article CrossRef Google Scholar Scopus

    [106] Bai H., Guo X., Narisu N., et al. (2018). Whole-genome sequencing of 175 Mongolians uncovers population-specific genetic architecture and gene flow throughout North and East Asia. Nat. Genet. 50:1696−1704. DOI:10.1038/s41588-018-0250-5

    View in Article CrossRef Google Scholar Scopus

    [107] Gao M., Lv J., Yu C., et al. (2020). Metabolically healthy obesity, transition to unhealthy metabolic status, and vascular disease in Chinese adults: A cohort study. PLoS Med. 17:e1003351. DOI:10.1371/journal.pmed.1003351

    View in Article CrossRef Google Scholar Scopus

    [108] Martin A. R., Kanai M., Kamatani Y., et al. (2019). Clinical use of current polygenic risk scores may exacerbate health disparities. Nat. Genet. 51:584−591. DOI:10.1038/s41588-019-0379-x

    View in Article CrossRef Google Scholar Scopus

    [109] Biffen R. H. (1905). Mendel's laws of inheritance and wheat breeding. J. Agric. Sci. 1:4−48. DOI:10.1017/S0021859600000137

    View in Article CrossRef Google Scholar Scopus

    [110] Weldon W. F. R. (1902). Mendel's laws of alternative inheritance in peas. Biometrika 1:228−233.

    View in Article Google Scholar

    [111] Stewart C. and Pepper M. S. (2017). Cystic Fibrosis in the African Diaspora. Ann. Am. Thorac. Soc. 14:1−7. DOI:10.1513/AnnalsATS.201606-481FR

    View in Article CrossRef Google Scholar

    [112] Padoa C., Goldman A., Jenkins T., et al. (1999). Cystic fibrosis carrier frequencies in populations of African origin. J. Med. Genet. 36:41. DOI:10.1136/jmg.36.1.41

    View in Article CrossRef Google Scholar Scopus

    [113] Richards S., Aziz N., Bale S., et al. (2015). Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 17:405−424. DOI:10.1038/gim.2015.30

    View in Article CrossRef Google Scholar

    [114] Hill A. V. (2006). Aspects of genetic susceptibility to human infectious diseases. Annu. Rev. Genet. 40:469−486. DOI:10.1146/annurev.genet.40.110405.090546

    View in Article CrossRef Google Scholar Scopus

    [115] Chapman S. J. and Hill A. V. (2012). Human genetic susceptibility to infectious disease. Nat. Rev. Genet. 13:175−188. DOI:10.1038/nrg3114

    View in Article CrossRef Google Scholar Scopus

    [116] Crouch D. J. M. and Bodmer W. F. (2020). Polygenic inheritance, GWAS, polygenic risk scores, and the search for functional variants. Proc. Natl. Acad. Sci. USA 117:18924−18933. DOI:10.1073/pnas.2005634117

    View in Article CrossRef Google Scholar Scopus

    [117] Bergstrom A., Stringer C., Hajdinjak M., et al. (2021). Origins of modern human ancestry. Nature 590:229−237. DOI:10.1038/s41586-021-03244-5

    View in Article CrossRef Google Scholar Scopus

    [118] Deng L., Pan Y., Wang Y., et al. (2022). Genetic connections and convergent evolution of tropical indigenous peoples in Asia. Mol. Biol. Evol. 39:msab361. DOI:10.1093/molbev/msab361

    View in Article CrossRef Google Scholar

    [119] Zhang X., Liu Q., Zhang H., et al. (2022). The distinct morphological phenotypes of Southeast Asian aborigines are shaped by novel mechanisms for adaptation to tropical rainforests. Natl. Sci. Rev. 9:nwab072. DOI:10.1093/nsr/nwab072

    View in Article CrossRef Google Scholar Scopus

    [120] Segurel L., Guarino-Vignon P., Marchi N., et al. (2020). Why and when was lactase persistence selected for? Insights from Central Asian herders and ancient DNA. PLoS Biol 18:e3000742. DOI:10.1371/journal.pbio.3000742

    View in Article CrossRef Google Scholar

    [121] Evershed R. P., Davey Smith G., Roffet-Salque M., et al. (2022). Dairying, diseases and the evolution of lactase persistence in Europe. Nature 608:336−345. DOI:10.1038/s41586-022-05010-7

    View in Article CrossRef Google Scholar Scopus

    [122] Duan S., Wang M., Wang Z., et al. (2024). Malaria resistance-related biological adaptation and complex evolutionary footprints inferred from one integrative Tai-Kadai-related genomic resource. Heliyon 10:e29235. DOI:10.1016/j.heliyon.2024.e29235

    View in Article CrossRef Google Scholar Scopus

    [123] Genovese G., Friedman D. J., Ross M. D., et al. (2010). Association of trypanolytic ApoL1 variants with kidney disease in African Americans. Science 329:841−845. DOI:10.1126/science.1193032

    View in Article CrossRef Google Scholar Scopus

    [124] Ko W. Y., Rajan P., Gomez F., et al. (2013). Identifying Darwinian selection acting on different human APOL1 variants among diverse African populations. Am. J. Hum. Genet. 93:54−66. DOI:10.1016/j.ajhg.2013.05.014

    View in Article CrossRef Google Scholar

    [125] Larsen C. S. (2023). The past 12,000 years of behavior, adaptation, population, and evolution shaped who we are today. Proc. Natl. Acad. Sci. USA 120:e2209613120. DOI:10.1073/pnas.2209613120

    View in Article CrossRef Google Scholar Scopus

    [126] Fan S., Hansen M. E., Lo Y., et al. (2016). Going global by adapting local: A review of recent human adaptation. Science 354:54−59. DOI:10.1126/science.aaf5098

    View in Article CrossRef Google Scholar Scopus

    [127] Benton M. L., Abraham A., LaBella A. L., et al. (2021). The influence of evolutionary history on human health and disease. Nat. Rev. Genet. 22:269−283. DOI:10.1038/s41576-020-00305-9

    View in Article CrossRef Google Scholar Scopus

    [128] Deng L., Zhang C., Yuan K., et al. (2019). Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders. Natl. Sci. Rev. 6:1201−1222. DOI:10.1093/nsr/nwz108

    View in Article CrossRef Google Scholar Scopus

    [129] Ma X.-K., Yu Y., Huang T., et al. (2024). Bioinformatics software development: Principles and future directions. The Innovation Life 2:100083. DOI:10.59717/j.xinn-life.2024.100083

    View in Article CrossRef Google Scholar

    [130] Huerta-Sanchez E., Jin X., Asan, et al. (2014). Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA. Nature 512:194−197. DOI:10.1038/nature13408

    View in Article CrossRef Google Scholar Scopus

    [131] Xiang K., Ouzhuluobu, Peng Y., et al. (2013). Identification of a Tibetan-specific mutation in the hypoxic gene EGLN1 and its contribution to high-altitude adaptation. Mol. Biol. Evol. 30:1889−1898. DOI:10.1093/molbev/mst090

    View in Article CrossRef Google Scholar Scopus

    [132] Jablonski N. G. and Chaplin G. (2010). Colloquium paper: Human skin pigmentation as an adaptation to UV radiation. Proc. Natl. Acad. Sci. USA 107 Suppl 2:8962-8968. DOI:10.1073/pnas.0914628107

    View in Article Google Scholar

    [133] Ilardo M. A., Moltke I., Korneliussen T. S., et al. (2018). Physiological and genetic adaptations to diving in sea nomads. Cell 173:569-580.e515. DOI:10.1016/j.cell.2018.03.054.

    View in Article Google Scholar

    [134] Quan C., Li Y., Liu X., et al. (2021). Characterization of structural variation in Tibetans reveals new evidence of high-altitude adaptation and introgression. Genome. Biol. 22:159. DOI:10.1186/s13059-021-02382-3

    View in Article CrossRef Google Scholar Scopus

    [135] Cohen P., Levy J. D., Zhang Y., et al. (2014). Ablation of PRDM16 and beige adipose causes metabolic dysfunction and a subcutaneous to visceral fat switch. Cell 156:304−316. DOI:10.1016/j.cell.2013.12.021

    View in Article CrossRef Google Scholar Scopus

    [136] Irving-Pease E. K., Refoyo-Martinez A., Barrie W., et al. (2024). The selection landscape and genetic legacy of ancient Eurasians. Nature 625:312−320. DOI:10.1038/s41586-023-06705-1

    View in Article CrossRef Google Scholar Scopus

    [137] Ma X., Lu Y., Stoneking M., et al. (2025). Neanderthal adaptive introgression shaped LCT enhancer region diversity without linking to lactase persistence in East Asian populations. Proc. Natl. Acad. Sci. USA 122:e2404393122. DOI:10.1073/pnas.2404393122

    View in Article CrossRef Google Scholar Scopus

    [138] Su H., Wang M., Li X., et al. (2024). Population genetic admixture and evolutionary history in the Shandong Peninsula inferred from integrative modern and ancient genomic resources. BMC Genom. 25:611. DOI:10.1186/s12864-024-10514-9

    View in Article CrossRef Google Scholar Scopus

    [139] Yang Z., Chen H., Lu Y., et al. (2022). Genetic evidence of tri-genealogy hypothesis on the origin of ethnic minorities in Yunnan. BMC Biol. 20:166. DOI:10.1186/s12915-022-01367-3

    View in Article CrossRef Google Scholar Scopus

    [140] Kwiatkowski D. P. (2005). How malaria has affected the human genome and what human genetics can teach us about malaria. Am. J. Hum. Genet. 77:171−192. DOI:10.1086/432519

    View in Article CrossRef Google Scholar Scopus

    [141] Wirth T., Hildebrand F., Allix-Beguec C., et al. (2008). Origin, spread and demography of the Mycobacterium tuberculosis complex. PLoS Pathog. 4:e1000160. DOI:10.1371/journal.ppat.1000160

    View in Article CrossRef Google Scholar Scopus

    [142] Qi H., Zhang Y. B., Sun L., et al. (2017). Discovery of susceptibility loci associated with tuberculosis in Han Chinese. Hum. Mol. Genet. 26:4752−4763. DOI:10.1093/hmg/ddx365

    View in Article CrossRef Google Scholar Scopus

    [143] Mi Z., Liu H. and Zhang F. (2024). Advances in the pathogenic, genetic and immunological studies of leprosy. hLife 2:6−17. DOI:10.1016/j.hlife.2023.10.003

    View in Article CrossRef Google Scholar Scopus

    [144] Yang Z., Zhong H., Chen J., et al. (2016). A Genetic Mechanism for Convergent Skin Lightening during Recent Human Evolution. Mol. Biol. Evol. 33:1177−1187. DOI:10.1093/molbev/msw003

    View in Article CrossRef Google Scholar Scopus

    [145] Zhang X., Ji X., Li C., et al. (2022). A Late Pleistocene human genome from Southwest China. Curr. Biol. 32:3095-3109.e3095. DOI:10.1016/j.cub.2022.06.016

    View in Article Google Scholar

    [146] Feng Q., Lu Y., Ni X., et al. (2017). Genetic history of Xinjiang's Uyghurs suggests bronze age multiple-way contacts in Eurasia. Mol. Biol. Evol. 34:2572−2582. DOI:10.1093/molbev/msx177

    View in Article CrossRef Google Scholar

    [147] Pan Y., Wen J., Ning Z., et al. (2023). Comparative genomic and transcriptomic analyses reveal the impacts of genetic admixture in Kazaks, Uyghurs, and Huis. Mol. Biol. Evol. 40:msad054. DOI:10.1093/molbev/msad054

    View in Article CrossRef Google Scholar

    [148] Keyser C., Bouakaze C., Crubezy E., et al. (2009). Ancient DNA provides new insights into the history of south Siberian Kurgan people. Hum. Genet. 126:395−410. DOI:10.1007/s00439-009-0683-0

    View in Article CrossRef Google Scholar Scopus

    [149] Peyregne S., Slon V. and Kelso J. (2024). More than a decade of genetic research on the Denisovans. Nat. Rev. Genet. 25:83−103. DOI:10.1038/s41576-023-00643-4

    View in Article CrossRef Google Scholar Scopus

    [150] Wei X., Robles C. R., Pazokitoroudi A., et al. (2023). The lingering effects of Neanderthal introgression on human complex traits. eLife 12:e80757. DOI:10.7554/eLife.80757.

    View in Article Google Scholar

    [151] Porubsky D. and Eichler E. E. (2024). A 25-year odyssey of genomic technology advances and structural variant discovery. Cell 187:1024−1037. DOI:10.1016/j.cell.2024.01.002

    View in Article CrossRef Google Scholar Scopus

    [152] Larena M., McKenna J., Sanchez-Quinto F., et al. (2021). Philippine Ayta possess the highest level of Denisovan ancestry in the world. Curr. Biol. 31:4219-4230.e4210. DOI:10.1016/j.cub.2021.07.022.

    View in Article Google Scholar

    [153] Chen L., Wolf A. B., Fu W., et al. (2020). Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals. Cell 180:677-687 e616. DOI:10.1016/j.cell.2020.01.012.

    View in Article Google Scholar

    [154] Mallick S., Micco A., Mah M., et al. (2024). The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci. Data 11:182. DOI:10.1038/s41597-024-03031-7

    View in Article CrossRef Google Scholar Scopus

    [155] Allentoft M. E., Sikora M., Fischer A., et al. (2024). 100 ancient genomes show repeated population turnovers in Neolithic Denmark. Nature 625:329−337. DOI:10.1038/s41586-023-06862-3

    View in Article CrossRef Google Scholar Scopus

    [156] Liu Y. C., Hunter-Anderson R., Cheronet O., et al. (2022). Ancient DNA reveals five streams of migration into Micronesia and matrilocality in early Pacific seafarers. Science 377:72−79. DOI:10.1126/science.abm6536

    View in Article CrossRef Google Scholar Scopus

    [157] Lazaridis I., Alpaslan-Roodenberg S., Acar A., et al. (2022). The genetic history of the Southern Arc: A bridge between West Asia and Europe. Science 377:eabm4247. DOI:10.1126/science.abm4247

    View in Article CrossRef Google Scholar Scopus

    [158] Lazaridis I., Alpaslan-Roodenberg S., Acar A., et al. (2022). A genetic probe into the ancient and medieval history of Southern Europe and West Asia. Science 377:940−951. DOI:10.1126/science.abq0755

    View in Article CrossRef Google Scholar Scopus

    [159] Olalde I., Carrion P., Mikic I., et al. (2023). A genetic history of the Balkans from Roman frontier to Slavic migrations. Cell 186:5472-5485.e5479. DOI:10.1016/j.cell.2023.10.018.

    View in Article Google Scholar

    [160] Allentoft M. E., Sikora M., Refoyo-Martinez A., et al. (2024). Population genomics of post-glacial western Eurasia. Nature 625:301−311. DOI:10.1038/s41586-023-06865-0

    View in Article CrossRef Google Scholar Scopus

    [161] Lipson M., Sawchuk E. A., Thompson J. C., et al. (2022). Ancient DNA and deep population structure in sub-Saharan African foragers. Nature 603:290−296. DOI:10.1038/s41586-022-04430-9

    View in Article CrossRef Google Scholar Scopus

    [162] Skoglund P., Posth C., Sirak K., et al. (2016). Genomic insights into the peopling of the Southwest Pacific. Nature 538:510−513. DOI:10.1038/nature19844

    View in Article CrossRef Google Scholar Scopus

    [163] Moreno-Mayar J. V., Vinner L., de Barros Damgaard P., et al. (2018). Early human dispersals within the Americas. Science 362:eaav2621. DOI:10.1126/science.aav2621.

    View in Article Google Scholar

    [164] Willerslev E. and Meltzer D. J. (2021). Peopling of the Americas as inferred from ancient genomics. Nature 594:356−364. DOI:10.1038/s41586-021-03499-y

    View in Article CrossRef Google Scholar Scopus

    [165] Nakatsuka N., Holguin B., Sedig J., et al. (2023). Genetic continuity and change among the Indigenous peoples of California. Nature 624:122−129. DOI:10.1038/s41586-023-06771-5

    View in Article CrossRef Google Scholar Scopus

    [166] Zhang F., Ning C., Scott A., et al. (2021). The genomic origins of the Bronze Age Tarim Basin mummies. Nature 599:256−261. DOI:10.1038/s41586-021-04052-7

    View in Article CrossRef Google Scholar Scopus

    [167] Xiong J., Wang R., Chen G., et al. (2024). Inferring the demographic history of Hexi Corridor over the past two millennia from ancient genomes. Sci. Bull. 69:606−611. DOI:10.1016/j.scib.2023.12.031

    View in Article CrossRef Google Scholar Scopus

    [168] Wang H., Yang M. A., Wangdue S., et al. (2023). Human genetic history on the Tibetan Plateau in the past 5100 years. Sci. Adv. 9:eadd5582. DOI:10.1126/sciadv.add5582

    View in Article CrossRef Google Scholar Scopus

    [169] Kerner G., Neehus A. L., Philippot Q., et al. (2023). Genetic adaptation to pathogens and increased risk of inflammatory disorders in post-Neolithic Europe. Cell Genom. 3:100248. DOI:10.1016/j.xgen.2022.100248

    View in Article CrossRef Google Scholar Scopus

    [170] Barrie W., Yang Y., Irving-Pease E. K., et al. (2024). Elevated genetic risk for multiple sclerosis emerged in steppe pastoralist populations. Nature 625:321−328. DOI:10.1038/s41586-023-06618-z

    View in Article CrossRef Google Scholar Scopus

    [171] Klunk J., Vilgalys T. P., Demeure C. E., et al. (2022). Evolution of immune genes is associated with the Black Death. Nature 611:312−319. DOI:10.1038/s41586-022-05349-x

    View in Article CrossRef Google Scholar Scopus

    [172] Brace S., Diekmann Y., Booth T., et al. (2022). Genomes from a medieval mass burial show Ashkenazi-associated hereditary diseases pre-date the 12th century. Curr. Biol. 32:4350-4359.e4356. DOI:10.1016/j.cub.2022.08.036.

    View in Article Google Scholar

    [173] Davy T., Ju D., Mathieson I., et al. (2023). Hunter-gatherer admixture facilitated natural selection in Neolithic European farmers. Curr. Biol. 33:1365-1371.e1363. DOI:10.1016/j.cub.2023.02.049.

    View in Article Google Scholar

    [174] Almarri M. A., Bergstrom A., Prado-Martinez J., et al. (2020). Population Structure, Stratification, and Introgression of Human Structural Variation. Cell 182:189-199 e115. DOI:10.1016/j.cell.2020.05.024.

    View in Article Google Scholar

    [175] Collins R. L., Brand H., Karczewski K. J., et al. (2020). A structural variation reference for medical and population genetics. Nature 581:444−451. DOI:10.1038/s41586-020-2287-8

    View in Article CrossRef Google Scholar Scopus

    [176] Luo M., Yang W., Bai L., et al. (2024). Artificial intelligence for life sciences: A comprehensive guide and future trends. The Innovation Life 2:100105. DOI:10.59717/j.xinn-life.2024.100105

    View in Article CrossRef Google Scholar

    [177] Audano P. A., Sulovari A., Graves-Lindsay T. A., et al. (2019). Characterizing the Major Structural Variant Alleles of the Human Genome. Cell 176:663-675 e619. DOI:10.1016/j.cell.2018.12.019.

    View in Article Google Scholar

    [178] Ebert P., Audano P. A., Zhu Q., et al. (2021). Haplotype-resolved diverse human genomes and integrated analysis of structural variation. Science 372:eabf7117. DOI:10.1126/science.abf7117

    View in Article CrossRef Google Scholar Scopus

    [179] Siren J., Monlong J., Chang X., et al. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science 374:abg8871. DOI:10.1126/science.abg8871

    View in Article CrossRef Google Scholar Scopus

    [180] Beyter D., Ingimundardottir H., Oddsson A., et al. (2021). Long-read sequencing of 3,622 Icelanders provides insight into the role of structural variants in human diseases and other traits. Nat. Genet. 53:779−786. DOI:10.1038/s41588-021-00865-4

    View in Article CrossRef Google Scholar Scopus

    [181] Shi J., Jia Z., Sun J., et al. (2023). Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing. Nat. Commun. 14:8282. DOI:10.1038/s41467-023-44034-z

    View in Article CrossRef Google Scholar Scopus

    [182] Ouzhuluobu, He Y., Lou H., et al. (2020). De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation. Natl. Sci. Rev. 7:391−402. DOI:10.1093/nsr/nwz160

    View in Article CrossRef Google Scholar Scopus

    [183] Lou H., Gao Y., Xie B., et al. (2022). Haplotype-resolved de novo assembly of a Tujia genome suggests the necessity for high-quality population-specific genome references. Cell Syst. 13:321-333.e326. DOI:10.1016/j.cels.2022.01.006.

    View in Article Google Scholar

    [184] Yang X., Zhao X., Qu S., et al. (2022). Haplotype-resolved Chinese male genome assembly based on high-fidelity sequencing. Fundam. Res. 2:946−953. DOI:10.1016/j.fmre.2022.02.005

    View in Article CrossRef Google Scholar Scopus

    [185] Yang C. T., Zhou Y., Song Y. N., et al. (2023). The complete and fully-phased diploid genome of a male Han Chinese. Cell Res. 33:745−761. DOI:10.1038/s41422-023-00849-5

    View in Article CrossRef Google Scholar Scopus

    [186] He Y., Chu Y., Guo S., et al. (2023). T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese. Genomics, Proteomics Bioinform. 21:1085-1100 DOI:10.1016/j.gpb.2023.08.001

    View in Article Google Scholar

    [187] Liao W. W., Asri M., Ebler J., et al. (2023). A draft human pangenome reference. Nature 617:312−324. DOI:10.1038/s41586-023-05896-x

    View in Article CrossRef Google Scholar Scopus

    [188] Yang T., Ma F., Qian H., et al. (2024). AI-driven construction of digital cell model. The Innovation Life 2:100102. DOI:10.59717/j.xinn-life.2024.100102

    View in Article CrossRef Google Scholar

    [189] Alpaslan-Roodenberg S., Anthony D., Babiker H., et al. (2021). Ethics of DNA research on human remains: five globally applicable guidelines. Nature 599:41−46. DOI:10.1038/s41586-021-04008-x

    View in Article CrossRef Google Scholar Scopus

    [190] Fatumo S., Chikowore T., Choudhury A., et al. (2022). A roadmap to increase diversity in genomic studies. Nat. Med. 28:243−250. DOI:10.1038/s41591-021-01672-4

    View in Article CrossRef Google Scholar Scopus

    [191] Madden E. B., Hindorff L. A., Bonham V. L., et al. (2024). Advancing genomics to improve health equity. Nat. Genet. 56:752−757. DOI:10.1038/s41588-024-01711-z

    View in Article CrossRef Google Scholar Scopus

    [192] Green E. D., Gunter C., Biesecker L. G., et al. (2020). Strategic vision for improving human health at The Forefront of Genomics. Nature 586:683−692. DOI:10.1038/s41586-020-2817-4

    View in Article CrossRef Google Scholar Scopus

    [193] Ping J., Liu X., Lu Y., et al. (2025). A highland-adaptation variant near MCUR1 reduces its transcription and attenuates erythrogenesis in Tibetans. Cell Genom. 5:100782. DOI:10.1016/j.xgen.2025.100782

    View in Article CrossRef Google Scholar Scopus

    [194] Gong J., Sun H., Wang K., et al. (2025). Long-read sequencing of 945 Han individuals identifies structural variants associated with phenotypic diversity and disease susceptibility. Nat. Commun. 16:1494. DOI:10.1038/s41467-025-56661-9

    View in Article CrossRef Google Scholar Scopus

  • Cite this article:

    Wang M., Duan S., Li X., et al. (2025). Genome-driven Chinese precision medicine: Biobank-scale genomic research as a new paradigm. The Innovation Life 3:100131. https://doi.org/10.59717/j.xinn-life.2025.100131
    Wang M., Duan S., Li X., et al. (2025). Genome-driven Chinese precision medicine: Biobank-scale genomic research as a new paradigm. The Innovation Life 3:100131. https://doi.org/10.59717/j.xinn-life.2025.100131

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

Figures(5)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(7731) PDF downloads(2073)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint