Large-scale whole-genome sequencing of the Icelandic population

By Daniel Fannar Gudbjartsson, H. Helgason, S. A. Gudjonsson, Florian Zink, A. Oddson, A. Gylfason, Søren Besenbacher, Gísli Magnússon, Bjarni V. Halldórsson, Eirikur Hjartarson and 38 more. 2015

776 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Po-Ru Loh
2. Alkes L Price
3. Jerome Kelleher
4. G. McVean
5. Li Shen
6. Debora Marks
7. Yarin Gal
8. A. Etheridge

In Molecular Biology

1. Kelly P. Brock
2. Po-Ru Loh
3. Aidan N. Gomez
4. Pascal Notin
5. Mafalda Dias
6. Yarin Gal
7. J. Frazer
8. Alkes L Price

Citations in the corpus

• Advances and Trends in Omics Technology Development (2022, background): “…r o n t i e r s i n . o r g technology still gains favor in genome-wide association studies (GWAS) for the sake of economy, and there is a gaining momentum to combine DNA microarray and NGS/TGS in genotyping toward increased resolution of population-specific haplotypes and imputation strength (82).”
• GSA: Genome Sequence Archive* (2017, background): “…of NGS technologies, large-scale sequencing projects for population genomics and precision medicine are ongoing or in the planning stages around the world, e.g. , the US Precision Medicine Initiative (PMI) [1], UK10 K Project [2], Icelandic Population Genome Project [3], and Dog 10 K Project [4].”
• Direct determination of diploid genome sequences (2016, neutral): “…analyzed over a thousand human samples each, yielding extraordinarily deep information across populations (The 1000 Genomes Project Consortium 2015; Gudbjartsson et al. 2015; Nagasaki et al. 2015); although in general, such methods cannot completely catalog large-scale changes, nor distinguish…”
• Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes (2015, background): “…unprecedented scale (Genome of the Netherlands Consortium et al., 2014; UK10K Consortium et al., 2015; 1000 Genomes Project Consortium et al., 2015; Gudbjartsson et al., 2015; Eisenstein, 2015; Stephens et al., 2015), and the storage and analysis of these data pose serious computational challenges.”