Laboratory of Population Genomics

Laboratory of Population Genomics

Seoul National University
Laboratory of Population Genomics

Laboratory of Population Genomics

Seoul National University

Publications+ more

(2025) Ancient genomes reveal trans-Eurasian connections between the European Huns and the Xiongnu Empire, Proc. Natl. Acad. Sci. U.S.A.
(2024) F 통계량을 이용한 집단 계통관계 검정의 기초, 한국진화학회지
(2024) Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color, Nat. Commun.
(2024) A genomic investigation on the origins of the Korean brown planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphasidae), Entomol. Res.
(2024) Reconstructing the genetic relationship between ancient and present-day Siberian populations, Genome Biol. Evol.
(2024) Medieval genomes from eastern Mongolia share a stable genetic profile over a millennium, Hum. Popul. Genet. Genom.
(2024) Genome assembly and population genomic data of a pulmonate snail Ellobium chinensis, Sci. Data
(2023) Inference of admixture origins in indigenous African cattle, Mol. Biol. Evol.
(2023) An ancient genome perspective on the dynamic history of the prehistoric Jomon people in and around the Japanese archipelago, Hum. Popul. Genet. Genom.
(2023) Genetic population structure of the Xiongnu Empire at imperial and local scales, Sci. Adv.

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.