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Revision as of 18:17, 20 January 2022
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.
We are located at 630 West 168th Street, New York, NY 10032.
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)
- Shikha Asrani, Master student (Computer Science)
- Thashi Bharadwaj, Postdoc Researcher
- Alexis Bryan, Master student (Epidemiology)
- Diana Cornejo, Postdoc Researcher
- Jenna Everard, Undergraduate student (Environmental Biology and Computer Science)
- Tabassum Fabiha, Undergraduate student (Computer Science)
- Samantha Figueredo, Undergraduate student (Computer Science)
- Xinqi Li, Master Student (Computer Science)
- Nicole Lin, Undergraduate student (Engineering)
- Sibei Liu, Master Student (Biostatistics)
- Asvin Jagadeesan (AJ), Undergraduate Student (Computer Science)
- Magda Kamila Kadlubowska, Undergraduate student (Computer science)
- Yuqi Miao, Master Student (Biostatistics)
- Liz M Nouel, Research Assistant (Mendelian Genetics)
- Anmol Singh, Master Student (Biostatistics)
- Haoyue Shuai, Master Research Assistant (Bioinformatics)
- Hao Sun, Master Student (Biostatistics)
- Ran Wang, Master Student (Epidemiology)
Note: the list of current members does not include rotation students.
Alumni
Please find on this page previous personnel, visiting scholars and rotation students.
Statistical Genetics Courses
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
