||5R13CA124365-08 Interpret this number
||Harvard School Of Public Health
||Conferences on Emerging Statistical Issues in Biomedical Research
This is a renewal of the R13 application to continue the very successful annual conference
series on Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences,
which has been hosted by the Program in Quantitative Genomics (PQG) at Harvard School of
Public Health (HSPH) in the last five years and is open to the whole research community.
Modern health sciences are evolving rapidly, driven in large part by the rapid advance of high-
throughput biotechnology. This changing landscape has provided researchers in health
sciences, especially in cancer and other chronic diseases, with rich opportunities for new
discoveries using genetic information to better understand disease biology and etiology and
interplay of genes and environment, and to enhance risk prediction and personalized medicine
in patient care. While such an "omics" era presents many exciting research opportunities, the
explosion of massive information about the human genome presents extraordinary challenges in
data processing, integration, analysis and result interpretation. Traditional statistical and
computational techniques cannot meet these new demands. There is a critical need to discuss
emerging quantitative issues at the forefront of scientific exploration, and to promote
development of innovative statistical and quantitative methods to deal with massive high-
throughput genomic and 'omics data in basic, population and clinical sciences. In this renewal
application, we propose to continue hosting this conference series, where each conference
focuses on emerging quantitative research areas of most current genomic research interest and
the particular focus will evolve over time. A key feature of the conference series is to provide a
timely and interactive platform to engage cross-discipline senior and junior investigators, such
as statistical genetists, computational biologists, genetic epidemiologists, molecular biologists,
and clinical scientists in cancer and other chronic diseases to critique existing quantitative
methods, discuss in-depth emerging statistical and quantitative issues, identify priorities for
future research and disseminate results. The 2011 conference is entitled ''Emerging Statistical
and Quantitative Issues in Genomic Medicine." The 2012 conference is on " Beyond the 1000
Genomes Project: Sequencing, Complex Traits, and Population." The Conference series is
cosponsored by HSPH PQG, the Department of Biostatistics of the HSPH and the Department
of Biostatics and Computational Biology of the Dana Farber Cancer Institute. Serious efforts will
continue to engage junior researchers, women and minorities in Conference activities.
Recent Progress In Single-cell Cancer Genomics
, Yuan G.C.
Current Opinion In Genetics & Development, 2017-01-23 00:00:00.0; 42, p. 22-32.
Estimation using penalized quasilikelihood and quasi-pseudo-likelihood in Poisson mixed models.
Lifetime Data Analysis, 2007 Dec; 13(4), p. 533-44.