Laboratory of Population Genomics

Laboratory of Population Genomics

Seoul National University
Laboratory of Population Genomics

Laboratory of Population Genomics

Seoul National University

Publications+ more

(2026) Ancient genomes reveal an extensive kinship network and endogamy in a Three-Kingdoms period society in Korea, Sci. Adv.
(2026) Dispersal and isolation of the scaly-foot snail across abyssal insular habitats and through time, Curr. Biol.
(2026) Genome-wide detection of fine-scale population stratification and long-distance dispersal of the Chinese mitten crab (Eriocheir sinensis), Anim. Cells Syst.
(2026) Neolithic genomes reveal long distance interactions in agropastoral border zone of Yan Mountain Region, Sci. Bull.
(2025) 고시료 유전체 시퀀싱 자료의 처리와 품질관리, 친족 관계 추정, 한국진화학회지
(2025) Ancient genomes illuminate the origins and dynamic history of East Asian cattle, Science
(2025) Dynamic human admixture histories over the past ~1300 years at the northern Himalayan frontier, Sci. Adv.
(2025) Ancient genomes from eastern Kazakhstan reveal dynamic genetic legacy of Inner Eurasian hunter-gatherers, Sci. Adv.
(2025) Bronze Age Yersinia pestis genome from sheep sheds light on hosts and evolution of a prehistoric plague lineage, Cell
(2025) Slab Grave expansion disrupted long co-existence of distinct Bronze Age herders in central Mongolia, Nat. Commun.

Welcome to the
"Laboratory of Population Genomics"

Genetic variation is observable outcome of unobservable past evolutionary processes, such as mutation, genetic drift, recombination, gene flow and natural selection. Recent developments in genomic technologies now allow us to retrieve genome-wide genetic variation data in population scale. Our laboratory focuses on reconstructing actions of the evolutionary processes in fine resolution by producing and analyzing genome-wide patterns of genetic variation. The first research topic of our lab is to reconstruct world-wide human migration and admixture for the past 10,000 years or so by combining genomes of ancient and present-day individuals. The second topic is to understand the role of natural selection in shaping complex adaptive phenotypes on top of neutral demographic history. Last, we aim at extending our population genomic approach to non-human non-model-organism species. Our lab heavily utilizes high-throughput genomics technologies for data production (e.g. next generation sequencing and microarrays) and high performance computing clusters on large-scale data processing and analysis.