scispace - formally typeset
J

Jeremy J. Berg

Researcher at Columbia University

Publications -  22
Citations -  1462

Jeremy J. Berg is an academic researcher from Columbia University. The author has contributed to research in topics: Population & Local adaptation. The author has an hindex of 13, co-authored 20 publications receiving 1175 citations. Previous affiliations of Jeremy J. Berg include University of California, Davis & University of Wisconsin-Madison.

Papers
More filters
Journal ArticleDOI

A Population Genetic Signal of Polygenic Adaptation

TL;DR: This analysis uncovers a number of putative signals of local adaptation, and develops methods for detecting unusually strong correlations between genetic values and specific environmental variables, as well as a generalization of comparisons to test for over-dispersion of genetic values among populations.
Journal ArticleDOI

Reduced signal for polygenic adaptation of height in UK Biobank.

TL;DR: A new analysis based on the the UK Biobank, a large, independent dataset, finds that the signals of selection using UKB effect estimates are strongly attenuated or absent and the conclusion of strong polygenic adaptation now lacks support.
Journal ArticleDOI

Detecting Polygenic Adaptation in Admixture Graphs

TL;DR: A method to detect polygenic adaptation in an admixture graph, which is a representation of the historical divergences and admixture events relating different populations through time, and developed a Markov chain Monte Carlo algorithm to infer branch-specific parameters reflecting the strength of selection in each branch of a graph.
Journal ArticleDOI

Measuring intolerance to mutation in human genetics

TL;DR: How best to interpret pLI, a measure widely used to identify genes that are intolerant to a single copy of a truncating mutation, is discussed, by relating this and related measures to the underlying population-genetic theory.
Journal ArticleDOI

Parallel altitudinal clines reveal trends in adaptive evolution of genome size in Zea mays.

TL;DR: A model in which variation in genome size is driven by natural selection on flowering time across altitudinal clines is suggested, connecting intraspecific variation in repetitive sequence to important differences in adaptive phenotypes.