Richard Durbin

TL;DR: It is found that, in a simple case, certain self-organizing models generate maps that are near-optimally local, in the sense that they come close to minimizing the neuronal wiring required for local operations.

TL;DR: The authors' study adds data about African, Oceanian, and Amerindian populations and indicates that diversity tends to result from differences at the single-nucleotide level rather than copy number variation.

TL;DR: Evidence is provided that low‐frequency non‐coding variants have large effects on BMD and fracture, thereby providing rationale for whole‐genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

TL;DR: Vg as discussed by the authors is a toolkit of computational methods for creating, manipulating, and using these structures as references at the scale of the human genome, which provides an efficient approach to mapping reads onto arbitrary variation graphs using generalized compressed suffix arrays, with improved accuracy over alignment to a linear reference.

TL;DR: A theory of haplotype matching using suffix array ideas is developed, which should scale too much larger datasets than those currently handled by genotype algorithms, and also includes some proposals about how these approaches could be used for imputation and phasing.