Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data
2012 (English)In: Human Genetics, ISSN 0340-6717, E-ISSN 1432-1203, Vol. 131, no 5, 665-674 p.Article in journal (Refereed) Published
We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ∼300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other.
Place, publisher, year, edition, pages
2012. Vol. 131, no 5, 665-674 p.
microRNA, article, chromosome 10, chromosome 4, controlled study, gene, gene control, gene frequency, gene locus, gene rearrangement, gene sequence, genetic selection, genetic transcription, genetic variability, genome analysis, genotype, haplotype map, human, human genome, nonhuman, polymerase chain reaction, priority journal, sequence analysis, simulation, single nucleotide polymorphism, sperm protein gene spag6, biological model, DNA sequence, genetic polymorphism, haplotype, Genome, Human, Haplotypes, HapMap Project, Humans, Models, Biological, Polymorphism, Genetic, Selection, Genetic, Sequence Analysis, DNA
IdentifiersURN: urn:nbn:se:kth:diva-131903DOI: 10.1007/s00439-011-1111-9ISI: 000302816700002ScopusID: 2-s2.0-84862260324OAI: oai:DiVA.org:kth-131903DiVA: diva2:657375
FunderScience for Life Laboratory - a national resource center for high-throughput molecular bioscience
QC 201310182013-10-182013-10-182013-10-18Bibliographically approved