Accession PRJCA023355
Title Integrative modern and ancient genomic resources reveal the evolutionary trajectory of complex disease traits
Relevance Evolution
Data types Targeted Locus (Loci)
Organisms Homo sapiens
Description Ancient northern East Asians (ANEA) from the Yellow River Basin (YRB) were essential in understanding the origin and evolutionary basis of complex traits of modern ethnolinguistically diverse Chinese populations, genetic structures and variation discovery during the Neolithic transition. However, the direct connection between ANEA and geographically close modern people and their biological adaptive processes remains unclear. We reported one integrative ancient and modern genomic resource, including genome-wide SNP data from geographically different 5506 individuals here, to inspect the fine-scale population admixture scenarios and adaptative evolutionary features. Demographical history reconstruction and hierarchical clustering patterns suggested that northern Han from the Shandong peninsula had long-term genetic continuity and mobility in the lower YRB since the middle Neolithic period. The reconstructed allele frequency trajectories and haplotype network identified two highly differentiated genes related to axillary odor (ABCC11) and bilirubin metabolism (SLC10A1). Our work underscored the importance of evolutionary views in understanding the spatiotemporal distribution patterns of genetic risk variants and provided one paradigm for combining ancient genomes in the population genomic medicine era.
Sample scope Multiisolate
Release date 2024-06-07
Publication
PubMed ID Article title Journal name DOI Year
38890579 Population genetic admixture and evolutionary history in the Shandong Peninsula inferred from integrative modern and ancient genomic resources BMC Genomics 10.1186/s12864-024-10514-9 2024
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) Young Scientists Fund 82202078 Forensic exploratory study of high-resolution Y-SNP-STR co-typing in complex pedigree searches and paternal ancestry inference
Submitter Guanglin He (Guanglinhescu@163.com)
Organization Institute of Rare Diseases, West China Hospital of Sichuan University
Submission date 2024-01-31

Project Data

Resource name Description