Wei Q. Deng

This study examines sex-specific DNA methylation and variability differences in placental tissue between IVF and spontaneous pregnancies, identifying significant shifts in variability and cell composition.

The paper develops a DNA methylation score to quantify the impact of maternal smoking on newborn health outcomes in European and South Asian populations, finding consistent associations with smaller birth size and lower birth weight.

gJLS2 enables joint analysis of location and scale in genome-wide studies to detect markers influencing quantitative traits through mean and variance, outperforming single tests.

The paper investigates X-chromosome variance heterogeneity in quantitative traits using generalized Levene's test and sex-stratified analysis, finding possible polygenic structure for human height variance.

The paper introduces a method to estimate regional polygenic correlation between complex traits and finds heterogeneity in shared heritability across genomic regions.

This paper introduces GraBLD, a machine-learning heuristic that improves polygenic risk scores for height, BMI, and diabetes using summary statistics from large-scale genome-wide studies.