Upcoming Events/Announcements


ASA-SSGG Short Course Series: An Introduction to Mendelian Randomization


Time: February 12, 14, 21 and 23, 2024, 11AM - 12:30PM  EST



Course abstract Understanding the pathogenic mechanism of common diseases stands as a foundational objective in clinical research. Mendelian Randomization (MR), a method gaining increasing popularity, offers an innovative approach to discerning causal relationships by utilizing genetic variants as instrumental variables. When assumptions are satisfied, MR empowers the inference of causal effects from observational data, even in the presence of unmeasured confounding. This short course contains four lectures covering the foundational concepts and assumptions of MR, recent state-of-the-art methods, principles in designing an MR study, and connections between MR and related fields. Each lecture will contain a hands-on coding component in which participants apply the material covered in the lecture to real data. We will start with an introduction of the basic principles of MR and its standard workflow. Then we will dive into deeper discussions on the assumptions underlying an MR study, introducing various recent methods designed toaddress assumptions' potential violations. The course also explores advanced topics such as multivariable MR, within family MR, MR with time seriesdata and the practical challenges of employing MR in the context of genetics and epidemiology.


Intended Audience and Level This short course is designed for participants with basic statistics and genetics/genomics background, who are interested in cutting-edge developments in Mendelian Randomization, including both method development and application. The audience is expected to be familiar with R and previous experience analyzing genetics data is preferred. We will prepare reproducible examples and share relevant data and annotated code through GitHub, so that participants can review and practice at their own pace.


Learning objectives At the end of the short course, participants will be familiar with basic MR assumptions, common MR study designs, potential pitfalls of MR, and recent methodological developments. Participants will also have hands-on experience with several MR software packages and be able to conduct and interpret an MR study.


Presenters' backgrounds


Dr. Jingshu Wang is an Assistant Professor in the Department of Statistics at the University of Chicago. She completed her PhD in Statistics at Stanford University and was a postdoctoral researcher at the Department of Statistics, University of Pennsylvania. Her current research focuses on developing statistical methods for cutting-edge bio-technologies and genetic problems, including single-cell RNA sequencing, Mendelian Randomization and structural variation in the 3D genome. Her research also includes factor models and multiple hypotheses testing, and their applications in statistical genetics.


Dr. Ting Ye is an Assistant Professor in the Department of Biostatistics at the University of Washington. She completed her PhD in Statistics at University of Wisconsin-Madison and was a postdoctoral researcher at the Department of Statistics, University of Pennsylvania. Her current research focuses on the design and analysis of randomized clinical trials and natural experiment methods for causal inference.


Prof. Neil M Davies is a Professor of Medical Statistics at University College London (UCL). He completed his PhD in Epidemiology at the University of Bristol and led a stream of research into using familial data for causal inference and Mendelian randomization at the MRC Integrative Epidemiology Unit. In 2022 he was appointed professor at the Division of Psychiatry and Department of Statistical Sciences at UCL. He has diverse research interests spanning clinical medicine, molecular and social epidemiology, and economics.


Dr. Jean Morrison is an Assistant Professor in the Department of Biostatistics at the University of Michigan. They completed a PhD in Biostatistics at the University of Washington and were a postdoctoral researcher at the University of Chicago Department of Human Genetics. Jean's research focuses on both application and methodological development related to Mendelian randomization as well as analysis methods for multi-omic studies and high dimensional phenotypes.


Previous Events


The Recording for previous webinars can be accessed at member-only site: here. If you are not a section member yet, you may join us through Join – Section on Statistics in Genomics and Genetics (


Webinar on Translating polygenic risk scores in the clinic: promises and challenges

Dr. Bogdan Pasaniuc

Date/Time: Tuesday, January 23, 2024 4pm - 5pm EST.


Webinar on Rigor, Reproducibility, and Mindful Programming

Dr. Claudia Solís-Lemus & Dr. Stephanie Hicks

Date/Time: Nov 29 2023 11am - 12pm EST


Webinar: Time order structure and feature learning for trajectory modeling

Speaker: Benedict Anchang, MSc. PhD

Date/Time: Oct 23 2023, 2pm - 3pm EST.


Panel Discussion: Academic Careers and Job Search

The Membership Engagement Committee of the American Statistical Association’s Section of Statistical Genomics and Genetics (ASA SSGG) proudly presents a panel discussion on academic careers and job search with a particular focus on statistical genomics and genetics. The 1.5-hour session will be virtual on Tuesday, September 26, 2023, 2 - 3:30 PM EST. We are excited to have invited six panelists who represent various positions, career stages, and fields of research in academia: Dr. Alison A. Motsinger-Reif (NIEHS), Dr. Nianjun Liu (Indiana Bloomington), Dr. Brooke Fridley (Moffit Cancer Center), Dr. Shilin Li (Ohio State University), Dr. Jack O’Brien (Bowdoin College), Dr. Kesley Grinde (Macalester College).


SSGG JSM Business Meeting

All Members are welcomed to join our section’s business meeting at JSM.

Date: 8/8/2023. Time: 6-7pm

Location: InterContinental Toronto Centre Oakville Room


SSGG JSM Walk/Jog/Run

For this upcoming JSM. we would like to announce an SSGG Run/Jog/Walk along the lakefront on Tuesday August 8, 6:15am in the morning. Come and meet your colleagues in SSGG as we take a relaxing jog (or adrenaline pumping run) along Lake Ontario! Let's gather at the east end of the Simcoe Wavedeck, directly on the lakefront 10 minutes walk from the Metro Convention Center, between 6-6:15. We plan to take off at 6:15, and go westward along the Martin Goodman Trail. Depending on the number of participants and interests, we expect to split into small groups dynamically. Some may run, some may slowly jog and some may walk. Our plan is to make it back in one hour, by 7:15 (sessions start at 8:30), but this is an out-and-back trail that follows the lakefront, and you can go for as far as you like.



The Membership Engagement Committee of the American Statistical Association's Section of Statistical Genomics and Genetics (ASA SSGG) is excited to invite you to join us for a Dinner-Together event (at your own expense) if you will be attending JSM. Let's gather together and network with each other in a nice restaurant within walking distance to the Metro Toronto Convention Center. 

Time: Sunday, August 6, 6:30-8:30 PM (EST)

Restaurant: Le Sélect Bistro (

ASA SSGG MEC Contact: Judong Shen 


SSGG Logo Design Competition

Calling all artists and designers! Showcase your talent and be part of ASA's SSGG logo design competition. We're in search for a captivating logo that represents the spirit of our section and resonates with our diverse community. Whether you're an experienced graphic designer or simply passionate about creating visual masterpieces, this is your chance to shine. Submit your unique designs and stand a chance to win exciting cash prizes. Don't miss out on this incredible opportunity to leave your artistic mark on ASA's SSGG section. Join the creative adventure today and make a lasting impression with your extraordinary skills!


Webinar: Tips for (Your First) JSM!

Nancy Zhang (Penn) and Michael Wu (Fred Hutch)

Time: Thursday July 27 1-2PM PST 4-5 PM EST.


Panel Discussion: Industry Careers and Internships

John Palcza (Merck), Audrey Y. Chu (GSK), Olukayode Sosina (Regeneron), Jingchunzi Shi (23andMe)

Thursday, May 25, 2023 11:00 AM - 12:00 PM EST


ASA-SSGG Short Course Series: Selective Introduction to Multi-Omics Analysis

      Rick Chang, Sierra Niemiec, Dr. Jack Pattee, Wenjia Wang (Course Instructors)

Dr. George Tseng and Dr. Katerina Kechris (Course Directors)

Date/Time: April 11, 13, 18, 20, 2023 (4x90min live sessions over two weeks). 3:00-4:30pm (Eastern)


Webinar: Bayesian Methods for Spatially Resolved Transcriptomics Data Analysis

      Qiwei Li (University of Texas at Dallas)

Date/Time: Mar 27, 2023 02:00 PM EST


Webinar: Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research

      Alyna Khan (University of Washington)

      Dr. Sarah C. Nelson (University of Washington)

Date/Time: 02/28/2023 | 1:00 - 2:00 PM (Eastern) / 10:00 - 11:00 AM (Pacific)


Panel Discussion: NIH Grant Funding and Grant Review
Dr. Katerina Kechris (University of Colorado)
Dr. Jingyi Jessica Li (University of California, Los Angeles)
Dr. Li-Xuan Qin (Memorial Sloan Kettering Cancer Center)
Dr. Grzegorz A. Rempala (The Ohio State University)

Date/Time: Jan 31, 2023. 02:30 - 03:30 PM in Eastern Time (US and Canada) 


Webinar: Manuscript Writing Tips and Guidelines

Speaker: Drs Mingyao Li and Sanjay Shete 

Time: Nov 17, 2022 01:00 PM (Eastern)


Webinar: Multivariate Integration of Multi-Omics Data

Speaker: Dr. Kim-Anh Lê Cao

Time: Oct 24, 2022 05:00 PM (Eastern)


Webinar: Pharmacogenomics (PGx) at Merck: Strategy, Projects and Research

Speaker: Dr. Judong Shen (Merck Research Laboratories)

Time: Sep 26, 2022 03:00 PM (Eastern)


Career Panel: Grant Application Panel Discussion

Dr. Saonli Basu, University of Minnesota
Dr. Mingyao Li, University of Pennsylvania
Dr. Victoriya Volkova, NIH BMRD SRO
Dr. Judy Huixia Wang, NSF DMS PD

Date/Time: Jun 16, 2022 01:00 PM in Eastern Time (US and Canada)


Webinar: Using Genomic Data Repositories for Secondary Analysis: Promises and Challenges
Speaker: Dr. Saonli Basu 
Time: Apr 25, 2022 02:00 PM in Eastern Time (US and Canada)


Webinar: Multi-Omics Integration: Problems, Potential and Promise
Speaker: Dr. Katerina Kechris (Colorado School of Public Health) 
Title: Time: March 21,  2022, 1-2 pm in Eastern Time (US and Canada)


Short Course: An Introduction to Deep Learning in Omics
Speaker: Dr. Wei Sun (Fred Hutchinson Cancer Research Center)
               Dr.  Nancy Zhang (the Wharton School at the University of Pennsylvania)
Time: Jan 11, 13, 18, and 20, 2022, 3pm-4:30 pm in Eastern Time (US and Canada)


Webinar: Leveraging Mentorship
Speaker: Dr. Ruth Gotian
Time: Feb 7,  2022, 1-2 pm in Eastern Time (US and Canada)


Webinar: Network-based methods for analysis of microbiome and metabolomic data
Speaker: Dr. Jing Ma (Fred Hutchinson Cancer Research Center)
Title: Time: Nov 22, 2021 12 pm in Eastern Time (US and Canada)


Webinar: Advanced statistical methods for genetic association studies 
Speaker: Dr.  Zhengzheng Tang (University of Wisconsin-Madison)
Time: Oct 25, 2021, 02:00PM  in Eastern Time (US and Canada)


Webinar: Statistical Methods for Analysis of Heterogeneous Tumor Samples

Speaker: Dr. Wenyi Wang
Title: Time: Sep 20, 2021 02:00 PM in Eastern Time (US and Canada)

Annual Business Meeting
Data/Time: on August 13th 1:00-2:30 PST/2:00-3:30 MST/3:00-4:30 CST/4:00-5:30 EST

Career Panel: Time Management, Research Strategy and Healthy Habits for Graduate Students

Moderator: Nicholas Weaver
   Dr. Kelsey Grinde, Assistant Professor of Statistics, Macalester College
   Dr. Rui Duan, Assistant Professor of Biostatistics, Harvard University
   Dr. Danielle Braun, Senior Research Scientist in Biostatistics, Dana-Farber Cancer Institute 
Date/Time: Jun 28, 2021 02:00 PM in Eastern Time (US and Canada)


Webinar: Statistical Genomics at Procter and Gamble

Speaker: Drs. Dionne Swift and Kellen Kresswell (Data and Modeling Sciences Organization)
Date/Time:Jun 24, 2021 01:00 PM in Eastern Time (US and Canada)


Webinar (jointly hosted with WNAR): Computational Analyses of Multi-Modal Single-Cell Data

Speaker: Dr. John Marioni (
Date/Time:May 28 2021 at 1 pm EDT


Webinar: Genetics of Within-Subject Variability and Diabetes Complications

Speaker: Dr. Jin Zhou. Associate Professor, University of Arizona
Date/Time:April 26 2021 at 4 pm EST


Webinar: Interrogating the Gut Microbiome: Estimation of Bacterial Growth Rate and  Prediction of Biosynthetic Gene Clusters

Speaker: Dr. Hongzhe Li/Hongzhe Lee, Perelman Professor of Biostatistics, Epidemiology and Informatics, Director, Center for Statistics in Big Data, Department of Biostatistics, Epidemiology and InformaticsUniversity of Pennsylvania.
Date/Time: March 22 2021 at 2 pm EST


Webinar: Addressing bias in genetic epidemiology for admixed populations

Speaker: Dr. Genevieve Wojcik, Assistant Professor of Epidemiology, Johns Hopkins Bloomberg School of Public Health.
Date/Time: February 22 2021 at 2 pm EST (11 am PST).