Biomedical subjects

Ana Goios

Publications and source records attributed to Ana Goios.

5 recordsLinked to original sources

PubMed2006

RepeatAround: a software tool for finding and visualizing repeats in circular genomes and its application to a human mtDNA database.

RepeatAround is a Windows based software tool designed to find "direct repeats", "inverted repeats", "mirror repeats" and "complementary repeats", from 3 to 64 bp length, in circular genomes. It processes input files directly extracted from GenBank database, providing visualisation of the repeats location in the genomic structure, so that for instance, in most mtDNAs the user can check if the repeats are located in coding or non-coding region (and in the first case in which gene), and how far apart the repeat pair(s) are. Besides the visual tool, it provides other outputs in a spreadsheet containing information on the number and location of the repeats, facilitating graphic analyses. Several genomes can be inputed simultaneously, for phylogenetic comparison purposes. Other capabilities of the software are the generation of random circular genomes, for statistical evaluation of comparison between observed repeats distributions with their shuffled counterparts, as well as the search for specific motifs, allowing an easy confirmation of repeats flanking a newly detected rearrangement. As an example of the programme's applications we analysed the Direct Repeats distribution in a large human mtDNA database. Results showed that Direct Repeats, even the larger ones, are evenly distributed among the human mtDNA haplogroups, enabling us to state that, based only on the repetitive motifs, no haplogroup is particularly more or less prone to mtDNA macrodeletions.

Computational Biology↗

PubMed2005

Y-chromosomal STR haplotypes in three ethnic groups and one cosmopolitan population from Tunisia.

The 11 Y-chromosomal short tandem repeats (STRs) included in the Promega Corporation PowerPlex Y System (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385, DYS437, DYS438 and DYS439) were typed in three ethnic groups ("Andalusians", Berber and Arab) and one cosmopolitan population (Tunis) from Tunisia, summing up 247 individuals, and 139 different haplotypes. Focusing the analysis on the seven Y-STRs of the YHRD Minimal Haplotype Core (DYS385 excepted), "Andalusians" showed no differences from the Cosmopolitan and the Arab samples previously published (our Arab sample presented an extremely low haplotype diversity), but were different from the Berbers. The Berbers from Tunisia were not different from those from Morocco.

Chromosomes, Human, Y↗

PubMed2005

Evaluating the forensic informativeness of mtDNA haplogroup H sub-typing on a Eurasian scale.

The impact of phylogeographic information on mtDNA forensics has been limited to the quality control of published sequences and databases. In this work we use the information already available on Eurasian mtDNA phylogeography to guide the choice of coding-region SNPs for haplogroup H. This sub-typing is particularly important in forensics since, even when sequencing both HVRI and HVRII, the discriminating power is low in some Eurasian populations. We show that a small set (eight) of coding-region SNPs resolves a substantial proportion of the identical haplotypes, as defined by control-region variation alone. Moreover, this SNP set, while substantially increasing the discriminating efficiency in most Eurasian populations by roughly equal amounts, discloses population-specific profiles.

Asia↗

PubMed2005

High-resolution mtDNA evidence for the late-glacial resettlement of Europe from an Iberian refugium.

The advent of complete mitochondrial DNA (mtDNA) sequence data has ushered in a new phase of human evolutionary studies. Even quite limited volumes of complete mtDNA sequence data can now be used to identify the critical polymorphisms that define sub-clades within an mtDNA haplogroup, providing a springboard for large-scale high-resolution screening of human mtDNAs. This strategy has in the past been applied to mtDNA haplogroup V, which represents <5% of European mtDNAs. Here we adopted a similar approach to haplogroup H, by far the most common European haplogroup, which at lower resolution displayed a rather uninformative frequency distribution within Europe. Using polymorphism information derived from the growing complete mtDNA sequence database, we sequenced 1580 base pairs of targeted coding-region segments of the mtDNA genome in 649 individuals harboring mtDNA haplogroup H from populations throughout Europe, the Caucasus, and the Near East. The enhanced genealogical resolution clearly shows that sub-clades of haplogroup H have highly distinctive geographical distributions. The patterns of frequency and diversity suggest that haplogroup H entered Europe from the Near East approximately 20,000-25,000 years ago, around the time of the Last Glacial Maximum (LGM), and some sub-clades re-expanded from an Iberian refugium when the glaciers retreated approximately 15,000 years ago. This shows that a large fraction of the maternal ancestry of modern Europeans traces back to the expansion of hunter-gatherer populations at the end of the last Ice Age.

DNA, Mitochondrial↗

PubMed2005

Human mtDNA haplogroups and reduced male fertility: real association or hidden population substructuring.

A mitochondrial DNA (mtDNA) haplogroup association study carried out in 101 southern Portuguese males with oligozoospermia showed to be negative when comparing with a geographically matching control sample. Misleading positive association signs were however obtained when using other control samples from the same country. This shows that mtDNA population substructure can also introduce spurious signs in haplogroup association studies, as previously reported for Y-chromosome. However, our data do not exclude the probability that a particular mtDNA mutation contributes significantly to the reduction of sperm production, but indeed precludes the hypothesis of a significant association between such a mutation and specific haplogroup.

Complementarity Determining Regions↗