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From Statistical Genetics Courses
Welcome to the Center for Statistical Genetics
We are a group of statistical geneticists in The Gertrude H. Sergievsky Center and Department of Neurology at Columbia University Vagelos College of Physicians and Surgeons in New York City. We focus on both the research and education of statistical genetics and genetic epidemiology.
On this website you will find research profiles of our faculty, trainees and visiting scholars, courses we teach and software we develop.
Faculty
- Suzanne M. Leal, Ph.D., Professor and Director
- Isabelle Schrauwen, Ph.D., Assistant Professor
- Gao Wang, Ph.D., Assistant Professor
Trainees and staff members
Current members
- Anushree Acharya, Research Assistant (Mendelian Genetics)
- Thashi Bharadwaj, Postdoc Researcher
- Diana Cornejo, Postdoc Researcher
- Xinqi Li, Master Student (Computer Science)
- Sibei Liu, Master Student (Biostatistics)
- Asvin Jagadeesan (AJ), Undergraduate Student (Computer Science)
- Rongqing (Riva) Jia, Master Student (Epidemiology)
- Yuqi Miao, Master Student (Biostatistics)
- Rachita Naik, Master Student (Computer Science)
- Liz M Nouel, Research Assistant (Mendelian Genetics)
- Anmol Singh, Master Student (Biostatistics)
- Haoyue Shuai, Master Research Assistant (Bioinformatics)
- Hao Sun, Master Student (Biostatistics)
- Venkatagiri Shiv, Research Assistant (Computer Science)
- Olivia Wagner, Master Student (Biostatistics)
- Ran Wang, Master Student (Epidemiology)
- Duzhi Zhao, Master Student (Biostatistics)
Alumni
Please find on this page previous personnel, visiting scholars and rotation students.
Statistical Genetics Courses
Advanced Gene Mapping
January 25-29, 2021
The Rockefeller University, New York, USA
Genetic Association
September 13-17, 2021
Max Delbrück Center for Molecular Medicine, Berlin, Germany
Complex Trait Analysis of Next Generation Sequence Data
November 22-26, 2021
Max Delbrück Center for Molecular Medicine, Berlin, Germany
Tutorials for Courses
- ANNOVAR Annotation | dockefile and docker image
- Cochran Armitage Trend Test for GWAS power analysis
- Family-based Association using FaST-LMM, PLINK and R | dockefile and docker image
- IGV | dockerfile and docker image
- Gemini | dockerfile and docker image
- GCTA | dockefile and docker image
- GWAS: QC | dockerfile and docker image
- GWAS: Controlling for Population Substructure | dockerfile and docker image
- Interaction analysis using PLINK and CASSI | dockerfile and docker image
- LINKAGE | dockerfile and docker image
- Population Genetics | dockefile and docker image
- Pleiotropy | dockefile and docker image
- Polygenic risk prediction using non-parametric shrinkage | dockefile and docker image
- PLINK/SEQ (PSEQ) | dockefile and docker image
- Regression | dockefile and docker image
- RV-TDT
- SEQLinkage
- SEQSpark
- SLINK | dockerfile and docker image
- Variant Association Tools | dockerfile and docker image
Statistical Genetics Software
- KBAC
- MendelProb
- PhenoMan | now on github
- RarePedSim | now on github
- RV-GDT | now on github
- RV-TDT | now on github
- RV-NPL
- SEQLinkage | source on github
- SEQPower | source on github
- SEQSpark
- SimPed | now on github
- SimRare | now on github
- Variant Association Tools | now on github
- Variant Mendelian Tools
