A0566
Title: Modeling the genetic architecture of human complex traits based on genome-wide association summary statistics
Authors: Xia Shen - Fudan University (China) [presenting]
Abstract: The focus is to provide an in-depth exploration of the advances in statistical modeling for unraveling the genetic architecture of human complex traits, particularly leveraging genome-wide association summary statistics without requiring individual-level data access. It delves into the cutting-edge big data inference methods for estimating genetic parameters in human genetics and their role in determining the causal relationships across various human complex traits. It is examined how the advancements in genomic analysis have expanded our ability to not only decipher the genetic architecture but also to understand the network of genetic correlations and causal links among diverse human traits and diseases. Through real-world examples, it is demonstrated how the inferred genetic architecture enhances the comprehension of the biological underpinnings of human complex traits. Additionally, it is highlighted how the interplay between genetic correlation and causality has significant implications for the fields of genetics, epidemiology, and healthcare.
