Jack Kamm

TL;DR: SMC++ is presented, a new statistical tool capable of analyzing orders of magnitude more samples than existing methods while requiring only unphased genomes and employing a novel spline regularization scheme that greatly reduces estimation error.

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: Analysis of ancient whole-genome sequences from across Inner Asia and Anatolia shows that the Botai people associated with the earliest horse husbandry derived from a hunter-gatherer population deeply diverged from the Yamnaya, and suggests distinct migrations bringing West Eurasian ancestry into South Asia before and after, but not at the time of, YamNaya culture.

TL;DR: The results suggest that the far-northern North American presence of northern Native Americans is from a back migration that replaced or absorbed the initial founding population of Ancient Beringians, and support a long-term genetic structure in ancestral Native Americans, consistent with the Beringian ‘standstill model’.

TL;DR: Machine learning is used to build 27-, 10- and 3-gene classifiers that differentiate COVID-19 from other ARIs with AUROCs of 0.981, 0.954 and 0.885, suggesting utility in mitigating false positive or false negative results of direct SARS-CoV-2 tests.