Evidence map›Paper›PMID 30971755›Full record

ArticleScientific reports2019

Reconstructing recent population history while mapping rare variants using haplotypes.

Ural Yunusbaev, Albert Valeev, Milyausha Yunusbaeva, Hyung Wook Kwon, Reedik Mägi, Mait Metspalu, Bayazit Yunusbayev

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Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ural YunusbaevUfa Federal Research Center of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa, 450054, Russia. uralub@gmail.com.ORCID http://orcid.org/0000-0003-0666-4118
Albert ValeevUfa Federal Research Center of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa, 450054, Russia.
Milyausha YunusbaevaUfa Federal Research Center of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa, 450054, Russia.
Hyung Wook KwonIncheon National University, College of Life Science and Bioengineering, Incheon, 22012, South Korea.ORCID http://orcid.org/0000-0001-9340-7974
Reedik MägiUniversity of Tartu, Institute of Genomics, Tartu, 51010, Estonia.
Mait MetspaluUniversity of Tartu, Institute of Genomics, Tartu, 51010, Estonia.ORCID http://orcid.org/0000-0003-3099-9161
Bayazit YunusbayevUniversity of Tartu, Institute of Genomics, Tartu, 51010, Estonia.ORCID http://orcid.org/0000-0002-6035-8763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haplotype-based methods are a cost-effective alternative to characterize unobserved rare variants and map disease-associated alleles. Moreover, they can be used to reconstruct recent population history, which shaped distribution of rare variants and thus can be used to guide gene mapping studies. In this study, we analysed Illumina 650 k genotyped dataset on three underrepresented populations from Eastern Europe, where ancestors of Russians came into contact with two indigenous ethnic groups, Bashkirs and Tatars. Using the IBD mapping approach, we identified two rare IBD haplotypes strongly enriched in asthma patients of distinct ethnic background. We reconstructed recent population history using haplotype-based methods to reconcile this contradictory finding. Our ChromoPainter analysis showed that these haplotypes each descend from a single ancestor coming from one of the ethnic groups studied. Next, we used DoRIS approach and showed that source populations for patients exchanged recent (<60 generations) asymmetric gene flow, which supported the ChromoPainter-based scenario that patients share haplotypes through inter-ethnic admixture. Finally, we show that these IBD haplotypes overlap with asthma-associated genomic regions ascertained in European population. This finding is consistent with the fact that the two donor populations for the rare IBD haplotypes: Russians and Tatars have European ancestry.

Indexed as

Genetic VariationAsthmaChromosome MappingChromosomes, Human, Pair 15Chromosomes, Human, Pair 7EthnicityGene FrequencyHaplotypesHistory, AncientHumans

Identifiers

PMID30971755
PMCPMC6458133

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