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In Print: Last Week's Microarray Papers of Note: Jul 29, 2014

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Molecular and cytogenetic analysis in stillbirth: results from 481 consecutive cases.
Fetal Diagn Ther. 2014 Jul. 19 [Epub ahead of print]
Sahlin E, et al.

Between 2008 and 2012, 481 stillbirths in Stockholm were investigated according to a clinical protocol including karyotype or QF-PCR analysis. Chromosomal microarray screening was performed on a subset of 90 cases, corresponding to all stillbirths from 2010 without a genetic diagnosis. They found that in the analysis of stillbirth, conventional karyotyping is prone to failure and QF-PCR is a useful complement. They also showed that CMA has a higher success rate and aberration detection frequency than these methods, and concluded that CMA is a valuable tool for identification of chromosomal aberrations in stillbirth.


A SNP-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on non-invasively collected samples.
Mol Ecol Resour. 2014 Jul. 18 [Epub ahead of print]
Kraus R, et al.

The authors propose a SNP-based marker system for non-invasively collected samples. Using Fluidigm integrated fluidic circuits, they genotyped 158 wolf samples for 192 SNP loci selected from the Affymetrix Canine SNP Array. They selected an optimized final set of 96 SNPs based on assay performance and reliability. They claim the approach improves genotyping accuracy by nearly an order of magnitude when compared to published data for other marker types.


Investigations on the pattern of linkage disequilibrium and selection signatures in the genomes of German Piétrain pigs.
J Anim Breed Genet. 2014 Jul. 21 [Epub ahead of print]
Stratz P, et al.

The authors set out to study the population structure, to characterize the linkage disequilibrium structure, and to define core regions based on low recombination rates among SNP pairs in the genome of Piétrain pigs using data from the PorcineSNP60 BeadChip. The results indicated a high genetic diversity in the Piétrain population and imply that for genome-wide analysis in this population, a higher marker density and higher sample sizes are required.

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