Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, yet its epigenetic underpinnings remain elusive.
We introduce "hypometric genetics," an approach to investigate the genetic basis of binarized traits representing the presence of below-the-limit-of-quantification (BLQ) quality …
We developed GenoBoost, a polygenic score modeling approach, incorporating both additive and non-additive genetic dominance effects.
We developed a polygenic score training approach that allows direct inclusion of admixed individuals without the need for local ancestry inference and showed ancestry-diverse …
Here we report 194,000 single-nucleus microglial transcriptomes and epigenomes across 443 human subjects and diverse Alzheimer's disease pathological phenotypes.
The consortia released a manuscript describing the results from meta-analysis data freeze version 7.
- Single-cell dissection of obesity-exercise axis in adipose-muscle tissues - Data Browser
We develop an ontology-guided approach to ranking tissue-/cell-type-specific transcription factors (TFs) from chromatin accessibility data.
In this study led by Junyang Qian, we present a method to fit sparse multi-variate and multi-response regression model.