Evidence map›Paper›PMID 35899193›Full record

ArticleFrontiers in genetics2022

Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals.

Ulykbek Kairov, Askhat Molkenov, Aigul Sharip, Saule Rakhimova, Madina Seidualy, Arang Rhie, Ulan Kozhamkulov, Maxat Zhabagin, Jong-Il Kim, Joseph H Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. 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
1.3field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Functional Iron-Transport Genes-International journal of molecular sciences · 2026
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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

14 authors at 3 institutions in 3 countries.

Ulykbek KairovLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Askhat MolkenovLaboratory of Bioinformatics and Systems Biology, 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.
Saule RakhimovaLaboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Madina SeidualyLaboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Arang RhieIlchun Genomic Medicine Institute, Seoul National University, Seoul, Korea.
Ulan KozhamkulovLaboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Maxat ZhabaginLaboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Jong-Il KimIlchun Genomic Medicine Institute, Seoul National University, Seoul, Korea.
Joseph H LeeSergievsky Center, Departments of Neurology and Epidemiology, Taub Institute, Columbia University, New York City, NY, United States.
Joseph D TerwilligerDepartments of Genetics and Development and Psychiatry, Sergievsky Center, Columbia University, New York City, NY, United States.
Jeong-Sun SeoIlchun Genomic Medicine Institute, Seoul National University, Seoul, Korea.
Zhaxybay ZhumadilovLaboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Ainur AkilzhanovaLaboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Nazarbayev University · KZSeoul National University · KRColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kazakhstan, the ninth-largest country in the world, is located along the Great Silk Road and connects Europe with Asia. Historically, its territory has been inhabited by nomadic tribes, and modern-day Kazakhstan is a multiethnic country with a dominant Kazakh population. We sequenced and analyzed the genomes of five ethnic Kazakhs at high coverage using the Illumina HiSeq2000 next-generation sequencing platform. The five Kazakhs yielded a total number of base pairs ranging from 87,308,581,400 to 107,526,741,301. On average, 99.06% were properly mapped. Based on the Het/Hom and Ti/Tv ratios, the quality of the genomic data ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Genetic variants were identified and annotated. Functional analysis of the genetic variants identified several variants that were associated with higher risks of metabolic and neurogenerative diseases. The present study showed high levels of genetic admixture of Kazakhs that were comparable to those of other Central Asians. These whole-genome sequence data of healthy Kazakhs could contribute significantly to biomedical studies of common diseases as their findings could allow better insight into the genotype-phenotype relations at the population level.

Indexed as

genome analysishuman geneticsKazakhstanKazakh whole genomesnext-generation sequencingwhole-genome sequence analysiswhole-genome sequence (WGS)

Identifiers

PMID35899193
PMCPMC9309552
OpenAlexW3107982234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.