PQHS faculty and their mentees are presenting at the American Society of Human Genetics 2023 meeting!

The American Society of Human Genetics annual meeting is one of the largest conferences for human genetics and genomics research. This year’s meeting in Washington, DC is also a celebration of the society's 75th Anniversary. Our faculty and their graduate students and post-doctoral fellows will be presenting cutting-edge research.

From the Bush lab:

• Electronic phenotyping in the UK Biobank using the OMOP Common Data Model, to be presented by Biomedical Health Informatics (BHI) graduate student Diya Yang
• Elucidating ancestral differences in expression quantitative trait loci architecture relative to Alzheimer’s Disease Status, to be presented by Systems Biology and Bioinformatics (SYBB) graduate student Makaela Mews
• Haptoglobin genotype calling and allele specific expression in AD, to be presented by post-doctoral fellow Dr. Esteban Vazquez-Hidalgo
• Increasing the Power of the Sequence Kernel Association Tests (SKAT) with Common Variant eQTLs, to be presented by Y. Yang
• Microglial genes show significant difference in transcriptional burst kinetics between minor cognitive impairment and Alzheimer’s disease cases, to be presented by former SYBB graduate student Dr. Bowen Jin
• Predicting genetically regulated gene expression on the X chromosome, to be presented by Epidemiology and Biostatistics (EPBI) graduate student Xueyi Zhang
• The Ferrome: A curated list of iron-related genes with brain-specific sex differences in expression, to be presented by K. Sharma
• Transcriptome wide Association Study of Activated Monocytes Identifies NETO2 and CRISPLD2 as Potential Alzheimer’s disease Resilience Genes, to be presented by graduate student Y. Mustafa

From the Crawford lab:

• Non-APOE genetic risk scores for late-onset Alzheimer disease in a diverse clinical population, to be presented by BHI graduate student Carly Rose
• Evidence for reduced somatic T-cell receptor sequence diversity profiles in Alzheimer disease among Midwestern Amish, to be presented by EPBI graduate student Lauren Cruz
• Evidence that GWAS-derived genetic risk scores are not associated with vitiligo in African Americans, Hispanics, or Asians drawn from a clinical population, to be presented by medical student Domenic Drouet
• Genome-wide association study reveals novel genetic signals that differentiates neuromyelitis optica spectrum disorder from multiple sclerosis, to be presented by EPBI graduate student Shiying Liu
• Serum sphingolipid levels are modified by HLA-DRB1*15:01 and HLA-A*02:01 in multiple sclerosis, to be presented by post-doctoral fellow Dr. Elina Misicka

From the Haines lab:

• A Locus for Cognitive Preservation on Chromosome 2p11.2-13.1 in the Midwestern Amish, to be presented by Genetics and Genome Sciences graduate student Leighanne Main
• Characterization of telomere length in Alzheimer’s disease in the Midwestern Amish, to be presented by Y. Liu
• Heritability estimates for plasma biomarkers of Alzheimer disease in the Amish population, to be presented by EPBI graduate student Ping Wang
• Protective Rare Variants for Cognitive Preservation in the Mid-Western Amish, to be presented by CWRU Instructor Dr. Yeunjoo Song

From the Williams lab:

• Evidence of potential natural selection in African Americans, to be presented by EPBI graduate student Razaq Durodoye
• From benign to pathogenic and back: the effect of context on genetic variants, to be presented by Senior Research Associate Dr. Tim Ciesielski

From the Zhu lab:

• HORNET identifies a complex gene network underlying Alzheimer’s disease risk in diverse populations, to be presented by EPBI graduate student Noah Lorincz-Comi
• Multivariable Mendelian randomization reveals potential causal genes that contribute to blood pressure traits in diverse populations, to be presented by Y. Yang
• A new Approach to Identify Gene-Environment Interactions: Gene by cigarette smoking and alcohol consumption interactions for serum lipids in diverse populations, to be presented by Population and Quantitative Health Sciences (PQHS) Professor Dr. Xiaofeng Zhu