Evidence map›Paper›PMID 35176016›Full record

ArticlePLoS genetics2022

Indian genetic heritage in Southeast Asian populations.

Piya Changmai, Kitipong Jaisamut, Jatupol Kampuansai, Wibhu Kutanan, N Ezgi Altınışık, Olga Flegontova, Angkhana Inta, Eren Yüncü, Worrawit Boonthai, Horolma Pamjav and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 39 citations in OpenAlex.

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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

12 authors at 6 institutions in 4 countries.

Piya ChangmaiDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID 0000-0003-3307-0585
Kitipong JaisamutDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
Jatupol KampuansaiDepartment of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-4687-104X
Wibhu KutananDepartment of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.ORCID 0000-0001-7767-1644
N Ezgi AltınışıkDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID 0000-0003-0653-4292
Olga FlegontovaDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
Angkhana IntaDepartment of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-0107-519X
Eren YüncüDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID 0000-0002-8194-0277
Worrawit BoonthaiResearch Unit in Physical Anthropology and Health Science, Thammasat University, Pathum thani, Thailand.ORCID 0000-0002-1033-7710
Horolma PamjavHungarian Institute for Forensic Sciences, Institute of Forensic Genetics, Budapest, Hungary.
David ReichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-7037-5292
Pavel FlegontovDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID 0000-0001-9759-4981
University of Ostrava · CZChiang Mai University · THBroad Institute · USHarvard University · USKhon Kaen University · THThammasat University · TH

Funding

Solving ascertainment bias in ancient DNA using Ultima Genomics sequencingR01HG012287 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2021 to 2025
$2.7M
Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
NHGRI NIH HHS R01 HG012287NIGMS NIH HHS R01 GM100233
6 · The paper itself

Abstract

The great ethnolinguistic diversity found today in mainland Southeast Asia (MSEA) reflects multiple migration waves of people in the past. Maritime trading between MSEA and India was established at the latest 300 BCE, and the formation of early states in Southeast Asia during the first millennium CE was strongly influenced by Indian culture, a cultural influence that is still prominent today. Several ancient Indian-influenced states were located in present-day Thailand, and various populations in the country are likely to be descendants of people from those states. To systematically explore Indian genetic heritage in MSEA populations, we generated genome-wide SNP data (using the Affymetrix Human Origins array) for 119 present-day individuals belonging to 10 ethnic groups from Thailand and co-analyzed them with published data using PCA, ADMIXTURE, and methods relying on f-statistics and on autosomal haplotypes. We found low levels of South Asian admixture in various MSEA populations for whom there is evidence of historical connections with the ancient Indian-influenced states but failed to find this genetic component in present-day hunter-gatherer groups and relatively isolated groups from the highlands of Northern Thailand. The results suggest that migration of Indian populations to MSEA may have been responsible for the spread of Indian culture in the region. Our results also support close genetic affinity between Kra-Dai-speaking (also known as Tai-Kadai) and Austronesian-speaking populations, which fits a linguistic hypothesis suggesting cladality of the two language families.

Indexed as

Asian PeopleAsia, SoutheasternEthnicityGenetics, PopulationGenetic VariationHaplotypesHumansIndiaLanguagePolymorphism, Single NucleotideThailand

Identifiers

PMID35176016
PMCPMC8853555
OpenAlexW4212824516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.