Complex Traits and Other Omics

This session features a collection of abstracts that employ multi-omic data to enhance our understanding of disease susceptibility. It emphasizes analyses involving mitochondrial DNA, leukocyte telomere length, and copy number variations. The abstracts extend beyond genomic data, incorporating various types of omics data to provide a comprehensive view of disease mechanisms. Notably, the session includes innovative approaches to mitochondrial DNA analysis. The speakers contributing to this session are notably diverse, further enriching the breadth of perspectives and expertise presented.

Learning Objectives:
1. Describe the utility of using genetic instruments at scale to disentangle age related disease mechanisms and provide strong support for previously reported relationships between telomere length and human health.
2. Explain the power of deep facial phenotyping and incorporating transcriptomics when analyzing whole genome sequencing data.
3. Recognize genetic factors leading to epistatic relationships of dosage sensitive genes.
4. Identify nuclear genetic loci associated with mitochondrial heteroplasmy.
5. Analyze the role of structural variants in disease.
6. Identify alignment patterns associated with complex genomic rearrangements

Please note: This item is only available as part of the ASHG 2024 Annual Meeting Digital Pass.