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Iuliana Ionita-Laza
Assistant Professor
Department of Biostatistics
Columbia University
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Research Statistical genetics. My main research interests lie in statistical and computational genetics, and applications to complex disease genetics. I am particularly interested in developing statistical methods for the analysis of high-dimensional genetic data, such as generated by next-generation sequencing technologies. I am also involved in applications of such methods to psychiatric diseases, including autism and schizophrenia. Below is a list of recent and selected publications.
- Iuliana Ionita-Laza, Seunggeun Lee, Vlad Makarov, Joseph Buxbaum, Xihong Lin "Sequence kernel association tests for the combined effect of rare and common variants", American Journal of Human Genetics, accepted, 2013
- Bin Xu, Iuliana Ionita-Laza, J Louw Roos, Braden Boone, Scarlet Woodrick, Yan Sun, Shawn Levy, Joseph A Gogos, Maria Karayiorgou "De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia", Nature Genetics, 2012
- Iuliana Ionita-Laza, Seunggeun Lee, Vlad Makarov, Joseph Buxbaum, Xihong Lin "General class of family-based association tests for sequence data, and comparisons with population-based association tests", European Journal of Human Genetics, 2013, Source Code
- Iuliana Ionita-Laza, Vlad Makarov, the AASC, Joseph Buxbaum "Scan-statistic approach identifies clusters of rare disease variants in three independent datasets in LRP2, a gene linked and associated with autism spectrum disorders", American Journal of Human Genetics, in press, 2012 (SFARI news story)
- Iuliana Ionita-Laza, Michael Cho, Nan Laird "Statistical challenges in sequence-based association studies with population- and family-based designs", Statistics in Biosciences, 2012 (invited article)
- Iuliana Ionita-Laza, Vlad Makarov, Seungtai Yoon, Benjamin Raby, Joseph Buxbaum, Dan Nicolae, Xihong Lin "Finding genes in Mendelian disorders using sequence data: methods and applications" American Journal of Human Genetics, 2011, Source Code, Simulated Example (highlighted in Nature Genetics)
- Iuliana Ionita-Laza and Ruth Ottman "Design of association studies with rare variants" Genetics, 2011, Source Code (EPV), and Source Code (Power), and Documentation
- Iuliana Ionita-Laza, Joseph Buxbaum, Nan Laird and Christoph Lange "A new testing strategy to identify rare variants with either risk or protective effect on disease" Plos Genetics, 2011 -- Source Code and Documentation
- Iuliana Ionita-Laza, Nan Laird "On the optimal design of genetic variant discovery studies" Statistical Applications in Genetics and Molecular Biology, 2010
- Iuliana Ionita-Laza, Christoph Lange, Nan Laird "On a method to count the number of unseen variants in the human genome" Proceedings of the National Academy of Sciences 2009 (story)
- Iuliana Ionita-Laza, Nan Laird, Benjamin Raby, Scott Weiss, Christoph Lange "On the frequency of copy number variants" Bioinformatics 2008
- Iuliana Ionita-Laza, Matthew McQueen, Nan Laird, Christoph Lange "Genomewide Weighted Hypothesis Testing in Family-Based Association Studies, with an Application to a 100K Scan" American Journal of Human Genetics 2007
- Iuliana Ionita, Raul-Sam Daruwala, Bud Mishra "Mapping Tumor Suppressor Genes using Multipoint Statistics from Copy-Number Variation Data" American Journal of Human Genetics 2006
More Publications
Methodological Grants
I am the principal investigator of the following grants:
- NIH-R01 (MH095797, 2012-2016)
- NSF (DMS-1100279, 2011-2014)
- NIH-R03 (HG005908, 2010-2013)
Some professional activities
I am an associate editor for Biometrics, and a review editor for Frontiers in statistical genetics and methodology.
Upcoming conferences I am involved with: Harvard PQG (November 2012), ENAR (March 2013), MAGES (UPenn, May 2013), Lipari Summer School (July 2013), JSM (August 2013)
Research Positions A postdoctoral position in statistical/quantitative genetics is available in my group. For information please email me at ii2135@columbia.edu. Also, graduate students interested in working in statistical genetics are encouraged to contact me.
Address
722 W 168th Street, 6th Fl, Rm 646
Biostatistics Department
Columbia University
New York, NY 10032
Office Phone: 212-305-9645
E-mail: ii2135@columbia.edu
Some Personal Links Irina Maia, Radu, Photos