Session I: Identifying causal genes and pathways
Presenter | Poster Number, Title, & Authors |
Lilit Antonyan
|
1. Genome-Wide Association Study on Obsessive Compulsive Traits Using a Quantitative Symptom Measure
Lilit Antonyan, S-M Shaheen, Gregory Hanna, David Rosenberg, Paul Arnold |
Diana Avalos
|
2. Genetic variation in cis regulatory domains and trans regulatory hubs of immunity
Diana Avalos*, Guillaume Rey*, Anna Ramisch, Olivier Delaneau, Emmanouil T Dermitzakis |
Jenna Ballard
|
3. Characteristics beyond correlation in multi-trait effect-size distributions
Jenna L Ballard and Luke J O’Connor |
Arjun Battacharya
|
4. MOSTWAS: Multi-omic strategies for transcriptome-wide prediction and association studies
Arjun Bhattacharya, Yun Li, Rebecca C. Fry, Hudson P. Santos Jr, Michael I. Love |
Carles Boix
|
5. Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissection
Carles Boix, Ben James, Yongjin Park, Wouter Meuleman, Manolis Kellis |
Brielin Brown
|
6. Phenome-scale directed network discovery with bi-directional mediated Mendelian randomization
Brielin C Brown, David A Knowles |
Terence Capellini |
7. Separate regulatory variants on a common risk haplotype at GDF5-UQCC1 underlie knee osteoarthristis risk and developmental dysplasia of the hip in vivo
Terence D. Capellini, Pushpanathan Muthuirulan, Zun Liu, Ata M. Kiapour, Jiaxue Cao, Jakob Sieker, Siddharth Yarlagadda, David E. Maridas, Vicki Rosen, Mariel Young |
Yonatan Cooper
|
8. Identification of common regulatory variants underlying tauopathies using massively parallel reporter assays
Yonatan Cooper, Giovanni Coppola, Dan Geschwind |
Nicholas Darci-Maher
|
9. Cross-tissue omics analysis between adipose tissue and liver identifies novel serum biomarker candidates for non-alcoholic fatty liver disease
Nicholas Darci-Maher, Marcus Alvarez, David Z Pan, Zong Miao, Dorota Kaminska, Jussi Pihlajamäki, Päivi Pajukanta |
Aimee Deaton
|
10. Gene-level analysis of loss of function variants in 246,730 whole exome sequences reveals an association of GIGYF1 with diabetes
Aimee M. Deaton, Margaret M. Parker, Lucas D. Ward, Alexander O. Flynn-Carroll, Lucas BonDurant, Gregory Hinkle, Paul Nioi |
Kushal Dey
|
11. Disease-critical cell types and cellular processes across the human body
Kushal K Dey, Karthik A Jagadeesh, Daniel Montoro, Jesse Engreitz, Ramnik Xavier, Alkes Price, Aviv Regev |
Mulong Du
|
12. Evidence from large-scale population supporting the causal cascade of CYP26A activity, smoking dose, and lung cancer risk
Mulong Du, Qianyu Yuan, Zhengdong Zhang, Guoshuai Cai, Qingyi Wei, Philip Lazarus, David C. Christiani |
Diptavo Dutta
|
13. Aggregative trans-eQTL associations detect trait-specific target gene sets
Diptavo Dutta, Yuan He, Ashis Saha, Marios Arvanitis, Alexis Battle, Nilanjan Chatterjee |
Esther Herrera-Luis
|
14. Admixture mapping analysis of asthma exacerbations in African Americans
Esther Herrera-Luis, Fabian Lorenzo-Diaz, Angel C. Y. Mak, Esteban G. Burchard, Maria Pino-Yanes |
Ruth Johnson
|
15. Fine-scale estimates of regional polygenicity provide insights into the genetic architecture of complex traits
Ruth Johnson, Kathryn Burch, Kangcheng Hou, Bogdan Pasaniuc*, Sriram Sankararaman* |
Pavel Kuksa
|
16. SparkINFERNO: next-generation high-throughput pipeline for inferring molecular mechanisms of non-coding genetic associations
Pavel P. Kuksa, Chien-Yueh Lee, Prabhakaran Gangadharan, Otto Valladares, Yuk Yee Leung, Li-San Wang |
Seung Hyuk (Tony) Lee
|
17. Abdominal obesity GWAS variants regulate adipose cell-type signature genes
Seung Hyuk (Tony) Lee, Marcus Alvarez, David Z. Pan, Uma Thanigai Arasu, Tiit Örd, Dorota Kaminska, Sini Heinonen, Kirsi H Pietiläinen, Minna U Kaikkonen, Jussi Pihlajamäki, Päivi Pajukanta |
Jimmy Tsz Hang Lee
|
18. Fast searches of single cell datasets by variant and trait
Jimmy Tsz Hang Lee, Nikolaos Patikas, Vladimir Yu Kiselev, Martin Hemberg |
Jiajin Li
|
19. Rare variants regulate expression of nearby individual genes in multiple tissues
Jiajin Li, Nahyun Kong, Buhm Han, Jae Hoon Sul |
Xihao Li
|
20. Scalable rare variant meta-analysis of whole genome sequencing studies using summary statistics and functional annotations
Xihao Li, Zilin Li, Corbin Quick, Hufeng Zhou, Sheila M. Gaynor, Han Chen, Jerome I. Rotter, Cristen J. Willer, Pradeep Natarajan, Gina M. Peloso, and Xihong Lin, on behalf of the TOPMed Lipids Working Group, BioData Catalyst Consortium |
Zilin Li
|
21. A Framework for Detecting Noncoding Associations in Large-Scale Whole Genome Sequencing Studies
Zilin Li, Xihao Li, Hufeng Zhou, Sheila M. Gaynor, Margaret Sunitha, Akhil Pampana, Jerome I. Rotter, Cristen J. Willer, Gina M. Peloso, Pradeep Natarajan and Xihong Lin, on behalf of the TOPMed Lipids Working Group |
Chen Mo
|
22. Genetic Fine-mapping via Learning Graph Structures of Linkage Disequilibrium Patterns
Chen Mo, Zhenyao Ye, Tianzhou Ma, Shuo Chen |
Achal Patel
|
23. Differential germline associations with risk of recurrence scores in White and Black breast cancer patients
A. Patel, A. Bhattacharya, M.I. Love, M.A. Troester |
Wouter Peyrot
|
24. Identifying loci with different allele frequencies among cases of eight psychiatric disorders using CC-GWAS
W.J. Peyrot, A.L. Price |
Jialin Qu
|
25. Gene set analysis with graph embedded kernel association test
Jialin Qu and Yuehua Cui |
Brody Receveur
|
26. Computationally efficient, exact, multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks
Angela Zigarelli, Hanna Venera, Brody Receveur, Jack Wolf, Jason Westra, and Nathan Tintle |
Alexandria Szalanczy
|
27. Verification of Keratinocyte-Associated Protein 3 as a Novel Gene for Adiposity
Alexandria M Szalanczy, Osborne Seshie, Emily Goff, Michael Grzybowski, Aron M Geurts, & Leah C Solberg Woods |
Ming-Ju Tsai
|
28. Identifying critical downstream gene targets associated with osteoporosis via gene regulatory landscapes
Ming-Ju Tsai, Sjur Reppe, Tadatoshi Sato, Richard Gill, Wein, Marc N, Kaare Gautvik, Yi-Hsiang Hsu |
Yi Zhang
|
29. A Breast Cancer-Associated Genetic Variant Modulates Immune Cells in the Tumor Microenvironment
Yi Zhang, Mohith Manjunath, Jialu Yan, Brittany A. Baur, Shilu Zhang, Sushmita Roy, Jun S. Song |
Session II: From causal genes and pathways to drug discovery and pharmacogenetics
Presenter | Poster Number, Title, & Authors |
Rupam Bhattacharyya
|
30. TransPRECISE: Proteomics-based Network Modeling of the Pan-cancer Patient and Cell Line Interactome
Rupam Bhattacharyya, University of Michigan; Min Jin Ha, The University of Texas MD Anderson Cancer Center; Qingzhi Liu, University of Michigan; Rehan Akbani, The University of Texas MD Anderson Cancer Center; Han Liang, The University of Texas MD Anderson Cancer Center; Veerabhadran Baladandayuthapani, University of Michigan. |
Beverly Dosso
|
31. ELOVL SNPs impact response to PUFA-rich diets and patient outcomes in secondary analysis of OMEGA trial
Beverly Dosso, Susan Sergeant, D. Clark Files, Timothy D. Howard, Carl D. Langefeld, Floyd H. Chilton, and Elaheh Rahbar |
Chachrit Khunsriraksakul
|
32. PUMICE- Prediction Using Models Informed by Chromatin conformations and Epigenomics
Chachrit Khunsriraksakul, Daniel McGuire, Renan Sauteraud, Fang Chen, Lina yang, Rosa Kim, Jordan Hughey, Scott Eckert, J. Dylan Weissenkampen, Dajiang J. Liu |
Camila Lopes-Ramos
|
33. Regulatory networks of liver carcinoma reveal sex-specific patterns of gene regulation
Camila M. Lopes-Ramos, Marieke L. Kuijjer, Kimberly Glass, Dawn L. DeMeo, John Quackenbush |
Sinha Rileen
|
34. Multi-omics Verification of Patient-Derived Tumor Models
Rileen Sinha, Amir Vajdi Hoojghan, Elizabeth Cohen, Aniket Shetty, Smitha Yerrum, Kin-Hoe Chow, Keith L Ligon, Michael Y. Tolstorukov |
Session III: Polygenic scores for disease prevention and clinical action
Presenter | Poster Number, Title, & Authors |
Sofía Aguilar Lacasaña
|
35. Polygenic Risk for ADHD and ASD and their relationship with cognitive measures in school children
Sofía Aguilar-Lacasaña, Natalia Vilor-Tejedor, Philip Jansen, Mònica López-Vicente, Mariona Bustamante, Miguel Burgaleta, Jordi Sunyer, Silvia Alemany |
James Fife
|
36. Assessing clinical risk using polygenic risk and monogenic variants
James Fife, Christopher Cassa |
Ruchi Chaudhary
|
37. High polygenic risk and strong recessive disease inheritance in a young-onset Parkinson’s disease cohort in India
Ruchi Chaudhary |
Patricia Genius
|
38. Differentially genetic susceptibility of Hippocampal Subfields Volumes: A Polygenic-wide Association Study
Patricia Genius, Greg Operto, Tavia E. Evans, Carles Falcón, Carolina Minguillón, Karine Fauria, Hieab H. Adams, Roderic Guigó, Juan Domingo Gispert, Natalia Vilor-Tejedor, and for the ALFA study |
Natalie Hasbani
|
39. Lifetime risk of coronary heart disease: American Heart Association’s Life’s Simple 7 lifestyle recommendations and polygenic risk
Natalie R. Hasbani, Symen Ligthart, Michael R. Brown, Adam Heath, Allison Bebo, Kellan E. Ashley, Eric Boerwinkle, Alanna C. Morrison, Aaron Folsom, David Aguilar, Paul S. de Vries |
Jie Huang
|
40. PAGEANT (Personal Analysis of GEnome and ANnotation Toolkit)
Jie Huang, Dan King |
Xiaoqi Li
|
41. Polygenic Risk Assessment: Genetics Supported Imaging Diagnosis for Parkinson’s Disease
Xiaoqi Li, Miguel Renteria, Xianjun Dong |
Fah Sathirapongsasuti
|
42. South Asian Patient Population Genetics Reveal Strong Founder Effects and High Rates of Homozygosity – New Resources for Precision Medicine
Jeffrey D. Wall*, J. Fah Sathirapongsasuti*, Ravi Gupta*, Ramesh Menon, Saurabh Belsare, Sameer Phalke, Anamitra Barik, Rajesh Kumar Rai, Anu Mittal, John Fang, Deepak Tanneeru, Jacqueline Robinson, Ruchi Chaudhary, Christian Fuchsberger, Lukas Forer, Sebastian Schoenherr, Qixin Bei, Tushar Bhangale, Jennifer Tom, Radha Venkatesan, Wallace Wang, Asif Rasheed, Pui-Yan Kwok, Amit Khera, Lakshmi, Adam Butterworth, John Danesh, Arkasubhra Ghosh, Viswanathan Mohan, Partha P. Majumder, Danish Saleheen, Abhijit Chowdhury, Sekar Seshagiri, Eric Stawiski, Andrew Peterson |
Magdalena Sevilla-Gonzales
|
43. Effect of fasting insulin-associated gene variant clusters on cardiometabolic outcomes
Magdalena Sevilla-Gonzalez, Hyunkyung Kim, Sarah Hsu, Jordi Merino, James B. Meigs, Jerome Rotter, Mark O. Goodarzi, Alisa K. Manning, Miriam Udler |
Sarah Urbut
|
44. Understanding the Genetic Effects on Multivariate Lipid Phenotypes: An exploration of the Million Veterans Project Resource
Sarah Urbut, S.Margaret Sunitha, Akhil Pampana, Lily Dattillo, Ben Neale, Chris O’Donnell, Gina Peloso, Pradeep Natarajan |
Zhi Yu
|
45. Polygenic Risk Scores for Kidney Function and Their Associations with Circulating Proteome, and Incident Kidney Diseases: the Atherosclerosis Risk in Communities Study
Zhi Yu, Jin Jin, Adrienne Tin, Anna Köttgen, Bing Yu, Jingsha Chen, Aditya Surapaneni, Linda Zhou, Christie M. Ballantyne, Ron C. Hoogeveen, Dan E. Arking, Nilanjan Chatterjee, Morgan E. Grams, Josef Coresh |
Zijie Zhao
|
46. Robust fine-tuning of diverse polygenic risk score models using GWAS summary statistics
Zijie Zhao; Yanyao Yi; Jie Song; Yuchang Wu; Xiaoyuan Zhong; Yupei Lin; Timothy J. Hohman; Jason Fletcher; Qiongshi Lu |