Vagheesh M. Narasimhan

TL;DR: Whole-genome and whole-exome sequence data from large numbers of individuals reveal that the authors all carry many variants predicted to inactivate genes (knockouts), and their relevance to studying gene function, population genetics, and importantly, the implications for accurate clinical interpretations are examined.

TL;DR: Exome sequences from 3,222 British-Pakistani individuals with high parental relatedness are used to estimate exome mutation rates, finding frequent recurrence of mutations at polymorphic CpG sites, and an increase in C to T mutations in the Pakistani population compared to Europeans, suggesting that mutational processes have evolved rapidly between human populations.

TL;DR: The Julia package miqoGraph is presented, which uses mixed-integer quadratic optimization to fit topology, drift lengths, and admixture proportions simultaneously simultaneously.

TL;DR: The assembled genome-wide data from Europe over 10,000 years is assembled, providing a dataset that is large enough to resolve the timing of selection into the Neolithic, Bronze Age, and Historical periods and highlights the unique power of ancient DNA in elucidating biological change that accompanied the profound cultural transformations of recent human history.

TL;DR: In this article , a deep learning model was applied to 31,221 whole body dual-energy X-ray absorptiometry (DXA) images from the UK Biobank (UKB) to extract 23 different image-derived phenotypes (IDPs) that include all long bone lengths as well as hip and shoulder width, which were analyzed while controlling for height.