Papua New Guinean Lowlanders Dataset

High-coverage whole genome sequences were collected to study patterns of genomic variation across the southern lowland of Papua New Guinea. This region has experienced an extremely complex demographic history, including repeated bouts of admixture with archaic and modern human groups. This dataset reports whole genome sequences for 41 individuals from this region. Particular attention has been paid in the original study to genomic signals that are informative for population history, including admixture with archaic hominins and the role of modern human admixture during the late Pleistocene and Holocene.

Type: Whole Genome Sequencing
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000000050	The Papua New Guinean Lowlanders dataset includes 41 whole genome sequences for Papua New Guinean individuals sampled in Daru. DNA was extracted from saliva samples (Oragen kit). Sequencing libraries were prepared using the TruSeq DNA PCR-Free HT kit. 150 bp paired-end sequencing was performed on the Illumina HiSeq X5 sequencer. The PGAP dataset provides Fastq, mapped cram files (GRCh38) and phenotype measurements.	HiSeq X Five	41

Publications	Citations
Positive selection in the genomes of two Papua New Guinean populations at distinct altitude levels. André M, Brucato N, Hudjasov G, Pankratov V, Yermakovich D, Montinaro F, Kreevan R, Kariwiga J, Muke J, Boland A, Deleuze JF, Meyer V, Evans N, Cox MP, Leavesley M, Dannemann M, Org T, Metspalu M, Mondal M, Ricaut FX. Nat Commun 15: 2024 3352	13
Influence of betel nut chewing on oral microbiome in Papua New Guinea. Brucato N, Lisant V, Kinipi C, Kik A, Besnard G, Leavesley M, Ricaut FX. Evol Med Public Health 13: 2025 36-44	1
Resolving out of Africa event for Papua New Guinean population using neural network. Mondal M, André M, Pathak AK, Brucato N, Ricaut FX, Metspalu M, Eriksson A. Nat Commun 16: 2025 6345	2