Arbel Harpak

The paper introduces a method to analyze population genetics of segmental duplicates by modeling gene conversion events and detecting adaptive divergence.

This study investigates uncertainty in sibling-based GWAS allelic effect estimates and proposes a resampling-based method that is more accurate than existing approaches.

Across UK Biobank, All of Us and FinnGen, the inferred mean direction (sign bias) of rare minor-allele effects varies and is largely explained by each cohort's trait skewness.

The paper identifies twelve genes with consistent sex differences in allele frequencies across three studies and proposes hypotheses for the mechanisms driving these differences.

trAIt uses large language models to retrieve species traits from scientific literature, achieving 47.1% accuracy in a case study, though expert curation remains more accurate.

This study shows that Xi expression levels predict female-male gene expression differences and correlates with traits like BMI and hormone levels in females.

This paper investigates the portability of polygenic scores across genetic and demographic differences, identifying three key gaps in understanding.

This paper highlights how confounding factors lead to misinterpretation in genetic studies of human behavior and socioeconomic outcomes by reanalyzing two examples.

The paper evaluates tradeoffs between bias and variance in Gene-by-Environment interaction models for complex traits, showing that polygenic models can improve estimation and prediction.

This paper introduces PGSUS, a method to assess the influence of stratification and assortative mating effects on polygenic scores, revealing that direct genetic effects often contribute little to PGS variation.

The paper challenges the hypothesis that sex-differential gene expression drives sex-differential selection by showing no genome-wide relationship between sex differences in expression and selection on eQTLs across 39 human tissues.

This study quantifies sex-differential selection (SDS) across the human genome using UK Biobank data, revealing polygenic signals and a tradeoff between viability and fecundity.

The paper introduces context-aware prediction intervals for polygenic scores to improve calibration across diverse populations and traits.

This study examines whether adjusting for population structure via principal components (PCs) in GWAS and polygenic index analyses reduces detectable direct genetic effects, finding minimal impact on polygenic effects.

This paper introduces i-LDSC, an extension of LDSC that accounts for genetic interactions, showing it recovers additional genetic variance in 25 traits from UK Biobank and BioBank Japan.

The paper identifies amplification as the main mechanism of gene-by-sex interactions in complex human traits, showing sex differences in genetic effect magnitudes rather than variant identity.

The paper identifies genotype-by-weather interactions in switchgrass by analyzing phenological timings across multiple environments and weather cues.

The paper shows that polygenic scores have varying prediction accuracy within a single ancestry group based on factors like age, sex, and GWAS study design.

The paper measures selective constraint on human gene expression by analyzing copy number variants and allele-specific expression data, finding that singletons have larger effects but explain only 5% of cis-regulatory expression heritability.

The paper shows that multiple beneficial mutations in HIV lead to wavelet-like oscillations in multilocus linkage disequilibrium, which can indicate mutation interference.

The paper identifies frequent non-allelic gene conversion in human gene duplicates and estimates its parameters, showing it has a small average effect on sequence divergence.