Evidence map›Paper›PMID 33541395›Full record

ArticleBMC research notes2021

Whole-genome sequencing data of Kazakh individuals.

Ulykbek Kairov, Askhat Molkenov, Saule Rakhimova, Ulan Kozhamkulov, Aigul Sharip, Daniyar Karabayev, Asset Daniyarov, Joseph H Lee, Joseph D Terwilliger, Ainur Akilzhanova and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 59% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  3. ThemedRxiv : the preprint server for health sciences · 2025
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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

11 authors at 2 institutions in 2 countries.

Ulykbek KairovLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan. ulykbek.kairov@nu.edu.kz.ORCID http://orcid.org/0000-0001-8511-8064
Askhat MolkenovLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Saule RakhimovaLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Ulan KozhamkulovLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Aigul SharipLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Daniyar KarabayevLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Asset DaniyarovLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Joseph H LeeColumbia University, New York, USA.
Joseph D TerwilligerColumbia University, New York, USA.
Ainur AkilzhanovaLaboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Zhaxybay ZhumadilovSchool of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan.
Nazarbayev University · KZColumbia University · US

Funding

Ministry of Education and Science of the Republic of Kazakhstan AP05134722Ministry of Education and Science of the Republic of Kazakhstan AP05135430Ministry of Education and Science of the Republic of Kazakhstan AP05136106Ministry of Education and Science of the Republic of Kazakhstan AP08855353Ministry of Education and Science of the Republic of Kazakhstan АР05134737
6 · The paper itself

Abstract

objectivesKazakhstan is a Central Asian crossroad of European and Asian populations situated along the way of the Great Silk Way. The territory of Kazakhstan has historically been inhabited by nomadic tribes and today is the multi-ethnic country with the dominant Kazakh ethnic group. We sequenced and analyzed the whole-genomes of five ethnic healthy Kazakh individuals with high coverage using next-generation sequencing platform. This whole-genome sequence data of healthy Kazakh individuals can be a valuable reference for biomedical studies investigating disease associations and population-wide genomic studies of ethnically diverse Central Asian region. DATA DESCRIPTION: Blood samples have been collected from five ethnic healthy Kazakh individuals living in Kazakhstan. The genomic DNA was extracted from blood and sequenced. Sequencing was performed on Illumina HiSeq2000 next-generation sequencing platform. We sequenced and analyzed the whole-genomes of ethnic Kazakh individuals with the coverage ranging from 26 to 32X. Ranging from 98.85 to 99.58% base pairs were totally mapped and aligned on the human reference genome GRCh37 hg19. Het/Hom and Ts/Tv ratios for each whole genome ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Sequencing data are available in the National Center for Biotechnology Information SRA database under the accession number PRJNA374772.

Indexed as

Asian PeopleGenome, HumanEthnicityHumansKazakhstanWhole Genome SequencingBioinformatics analysisBiomedical researchGenome annotationKazakh ethnicityKazakhstanNext-generation sequencingPopulation genomicsWhole genome

Identifiers

PMID33541395
PMCPMC7863413
OpenAlexW3126635564

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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.