Now out in ME: dx.doi.org/10.1111/mec....
Empirical comparison of WGS and RADseq selection scans shows missed signals and false outliers in RADseq selection scans resulting from population specific allelic dropout @katarinastuart.bsky.social @lee-rollins.bsky.social @annasanture.bsky.social
💥 Downstream impact:
- PopGen analyses (relatedness, population structure) were congruent with imputation accuracy and depend on genetic relatedness.
- Inbreeding coefficient estimates were more sensitive to imputation.
- Demographic analysis on imputed data showed similar results across the tools.
New study 🧬 Inbreeding depression is a concern in small populations, and evaluating its genomic proxies is important for #ConservationGenomics. In hihi, genome-wide homozygosity best predicts lifetime reproductive success, compared to genetic load and FROH.
Publication: doi.org/10.1111/eva....
1/3
This research was conducted with an awesome team of co-authors: @annasanture.bsky.social my amazing PhD supervisor, @katarinastuart.bsky.social, @josephguhlin.bsky.social, @vbtram.bsky.social, Selina Patel, Laura Duntsch, John G. Ewen, and @pbrekke.bsky.social
👩🔬👨🔬
@wiley.com
3/3
🔑 Choosing your imputation tool:
- All tools worked well in highly related populations.
- Accuracy varied in populations with low relatedness, but GLIMPSE2 & QUILT2 generally outperformed the other tools.
- STITCH is useful when no reference panel exists but results in some missing data.
Whole-genome data from yellow-eyed penguins (hoiho) identify three lineages with high geographical and genomic divergence, and candidate gene variants associated with differential susceptibility to neonatal respiratory distress syndrome, according to a paper in Nature Ecology & Evolution. 🌍🧬🧪