Evidence map›Paper›PMID 32453742›Full record

ArticlePLoS genetics2020

Genome-wide DNA methylation and gene expression patterns reflect genetic ancestry and environmental differences across the Indonesian archipelago.

Heini M Natri, Katalina S Bobowik, Pradiptajati Kusuma, Chelzie Crenna Darusallam, Guy S Jacobs, Georgi Hudjashov, J Stephen Lansing, Herawati Sudoyo, Nicholas E Banovich, Murray P Cox and 1 more

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Review
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  6. Non-coding 886 (Epigenetics · 2024
    Review
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  13. Article
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  19. Article
  20. Advances in integrative African genomics.Trends in genetics : TIG · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Heini M NatriCenter for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0003-4698-6103
Katalina S BobowikMelbourne Integrative Genomics, University of Melbourne, Parkville, Australia.ORCID 0000-0002-7030-3969
Pradiptajati KusumaGenome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.ORCID 0000-0002-9722-4048
Chelzie Crenna DarusallamGenome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Guy S JacobsComplexity Institute, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-4698-7758
Georgi HudjashovStatistics and Bioinformatics Group, School of Fundamental Sciences, Massey University, Palmerston North, New Zealand.ORCID 0000-0002-7536-9086
J Stephen LansingSanta Fe Institute, Santa Fe, New Mexico, United States of America.ORCID 0000-0003-2132-5309
Herawati SudoyoGenome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Nicholas E BanovichThe Translational Genomics Research Institute, Phoenix, Arizona, United States of America.ORCID 0000-0003-2604-3247
Murray P CoxStatistics and Bioinformatics Group, School of Fundamental Sciences, Massey University, Palmerston North, New Zealand.ORCID 0000-0003-1936-0236
Irene Gallego RomeroMelbourne Integrative Genomics, University of Melbourne, Parkville, Australia.ORCID 0000-0003-1613-8998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indonesia is the world's fourth most populous country, host to striking levels of human diversity, regional patterns of admixture, and varying degrees of introgression from both Neanderthals and Denisovans. However, it has been largely excluded from the human genomics sequencing boom of the last decade. To serve as a benchmark dataset of molecular phenotypes across the region, we generated genome-wide CpG methylation and gene expression measurements in over 100 individuals from three locations that capture the major genomic and geographical axes of diversity across the Indonesian archipelago. Investigating between- and within-island differences, we find up to 10.55% of tested genes are differentially expressed between the islands of Sumba and New Guinea. Variation in gene expression is closely associated with DNA methylation, with expression levels of 9.80% of genes correlating with nearby promoter CpG methylation, and many of these genes being differentially expressed between islands. Genes identified in our differential expression and methylation analyses are enriched in pathways involved in immunity, highlighting Indonesia's tropical role as a source of infectious disease diversity and the strong selective pressures these diseases have exerted on humans. Finally, we identify robust within-island variation in DNA methylation and gene expression, likely driven by fine-scale environmental differences across sampling sites. Together, these results strongly suggest complex relationships between DNA methylation, transcription, archaic hominin introgression and immunity, all jointly shaped by the environment. This has implications for the application of genomic medicine, both in critically understudied Indonesia and globally, and will allow a better understanding of the interacting roles of genomic and environmental factors shaping molecular and complex phenotypes.

Indexed as

DNA MethylationGene-Environment InteractionTranscriptomeCpG IslandsEnvironmentEpigenesis, GeneticEthnicityGene Expression ProfilingGenetics, PopulationGenome-Wide Association StudyGenomicsHumansIndonesiaIslandsPacific IslandsPedigree

Identifiers

PMID32453742
PMCPMC7274483

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.