Ipsita Agarwal

Single-nucleus RNA+ATAC profiling of 32 mice shows asymmetric PRDM9 binding drives asynapsis, pachytene cell loss, aneuploidy and multi-megabase crossover redistribution, tuned by a chromosome 15 locus.

The paper identifies de novo mutations in siblings and finds no differences in mutation rates by ancestry or smoking status, but links disruptions in REV1 and LIG1 to increased germline mutation rates.

The paper investigates sex differences in germline mutation rates linked to transcription, finding distinct associations in males and females across different germline stages.

The paper estimates the fitness costs of loss-of-function mutations in humans and relates them to disease severity and study design.

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 analyzes low-frequency variants in gnomAD data to identify mutation patterns linked to replication timing, recombination, and sex differences on the X chromosome and autosomes.

The paper introduces a 2-way k-means model for clustering microbiome samples that can handle mixed compositions between clusters, applied to 16S rDNA sequencing data from the Human Vaginal Microbiome Project.