Evidence map›Paper›PMID 32076829›Full record

ArticleHuman genetics2020

Decoding a highly mixed Kazakh genome.

Madina Seidualy, Asta Blazyte, Sungwon Jeon, Youngjune Bhak, Yeonsu Jeon, Jungeun Kim, Anders Eriksson, Dan Bolser, Changhan Yoon, Andrea Manica and 2 more

Abstract read
In one paragraph

Article in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Madina SeidualyKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Asta BlazyteKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Sungwon JeonKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Youngjune BhakKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Yeonsu JeonKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Jungeun KimPersonal Genomics Institute (PGI), Genome Research Foundation, Cheongju, 28160, Republic of Korea.
Anders ErikssonDepartment of Medical and Molecular Genetics, King's College London, London, SE1 9RT, UK.
Dan BolserGeromics Ltd, Office 261, 23 Kings Street, Cambridge, CB1 1AH, UK.
Changhan YoonKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Andrea ManicaDepartment of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK.
Semin LeeKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Jong BhakKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. jongbhak@genomics.org.ORCID http://orcid.org/0000-0002-4228-1299

Funding

U-K BRAND Research Fund 1.190007.01Ulsan City Research Fund 1.190033.01
6 · The paper itself

Abstract

We provide a Kazakh whole genome sequence (MJS) and analyses with the largest comparative Kazakh genomic data available to date. We found 102,240 novel SNVs and a high level of heterozygosity. ADMIXTURE analysis confirmed a significant proportion of variations in this individual coming from all continents except Africa and Oceania. A principal component analysis showed neighboring Kalmyk, Uzbek, and Kyrgyz populations to have the strongest resemblance to the MJS genome which reflects fairly recent Kazakh history. MJS's mitochondrial haplogroup, J1c2, probably represents an early European and Near Eastern influence to Central Asia. This was also supported by the heterozygous SNPs associated with European phenotypic features and strikingly similar Kazakh ancestral composition inferred by ADMIXTURE. Admixture (f3) analysis showed that MJS's genomic signature is best described as a cross between the Neolithic East Asian (Devil's Gate1) and the Bronze Age European (Halberstadt_LBA1) components rather than a contemporary admixture.

Indexed as

Genetics, PopulationGenome, HumanPolymorphism, Single NucleotideChinaDNA, MitochondrialEthnicityFemaleHumansKazakhstanPrincipal Component AnalysisWhite PeopleDNA, Mitochondrial

Identifiers

PMID32076829
PMCPMC7170836

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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.