Genome diversity in Ukraine. Issue 1 (13th January 2021)
- Record Type:
- Journal Article
- Title:
- Genome diversity in Ukraine. Issue 1 (13th January 2021)
- Main Title:
- Genome diversity in Ukraine
- Authors:
- Oleksyk, Taras K
Wolfsberger, Walter W
Weber, Alexandra M
Shchubelka, Khrystyna
Oleksyk, Olga T
Levchuk, Olga
Patrus, Alla
Lazar, Nelya
Castro-Marquez, Stephanie O
Hasynets, Yaroslava
Boldyzhar, Patricia
Neymet, Mikhailo
Urbanovych, Alina
Stakhovska, Viktoriya
Malyar, Kateryna
Chervyakova, Svitlana
Podoroha, Olena
Kovalchuk, Natalia
Rodriguez-Flores, Juan L
Zhou, Weichen
Medley, Sarah
Battistuzzi, Fabia
Liu, Ryan
Hou, Yong
Chen, Siru
Yang, Huanming
Yeager, Meredith
Dean, Michael
Mills, Ryan E
Smolanka, Volodymyr - Abstract:
- Abstract: Background: The main goal of this collaborative effort is to provide genome-wide data for the previously underrepresented population in Eastern Europe, and to provide cross-validation of the data from genome sequences and genotypes of the same individuals acquired by different technologies. We collected 97 genome-grade DNA samples from consented individuals representing major regions of Ukraine that were consented for public data release. BGISEQ-500 sequence data and genotypes by an Illumina GWAS chip were cross-validated on multiple samples and additionally referenced to 1 sample that has been resequenced by Illumina NovaSeq6000 S4 at high coverage. Results: The genome data have been searched for genomic variation represented in this population, and a number of variants have been reported: large structural variants, indels, copy number variations, single-nucletide polymorphisms, and microsatellites. To our knowledge, this study provides the largest to-date survey of genetic variation in Ukraine, creating a public reference resource aiming to provide data for medical research in a large understudied population. Conclusions: Our results indicate that the genetic diversity of the Ukrainian population is uniquely shaped by evolutionary and demographic forces and cannot be ignored in future genetic and biomedical studies. These data will contribute a wealth of new information bringing forth a wealth of novel, endemic and medically related alleles.
- Is Part Of:
- GigaScience. Volume 10:Issue 1(2021)
- Journal:
- GigaScience
- Issue:
- Volume 10:Issue 1(2021)
- Issue Display:
- Volume 10, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 10
- Issue:
- 1
- Issue Sort Value:
- 2021-0010-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-13
- Subjects:
- genomes -- NGS -- genotyping -- variant calling -- SNP -- CNV -- indels -- BGISEQ-500 -- DNBSEQ -- Illumina
Information storage and retrieval systems -- Research -- Periodicals
Biology -- Research -- Periodicals
Medical sciences -- Research -- Periodicals
Database management -- Periodicals
570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/gigascience/giaa159 ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17406.xml