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What's New
Recent News and Events:
PMAGE Director David Hunter
was interviewed on National Public Radio's Science Friday in
discussing the new genetic factors identified that may increase the
risk of developing breast cancer:
http://www.sciencefriday.com/pages/2007/Jun/hour1_060107.html
PMAGE scientists have discovered gene variants that significantly
increase the risk for breast cancer in the May 27, 2007 HSPH Press
Release:
http://www.hsph.harvard.edu/news/press-releases/
PMAGE Director David Hunter
explains a new genetic risk locus for prostate cancer at chromosome
8q24 region in a genome-wide association study in the Cancer Genetic
Markers of Susceptibility project:
http://www.dfhcc.harvard.edu/news/news/article/513/334/
PMAGE Director David
Hunter explains the significance of the recent identification of
prostate cancer gene variants in an Interview with
Harvard Public Health NOW on April 27, 2007:
http://www.hsph.harvard.edu/now/20070427/index.html
HSPH Mini-Course on
Genome-Wide and Pathway-based Association Studies of Complex
Diseases, April 27 - June 1, 2007:
http://www.hsph.harvard.edu/research/bioinfocore/training/
PMAGE
Director David Hunter participates in the first release of
data from a whole genome association study of prostate
cancer:
http://cgems.cancer.gov/news/pr_2006_10_18.asp
The
National Cancer Institute has released data on 310,000 SNPs
in 1100 cases of prostate cancer and 1100 controls from the
PLCO study. This data release is part of the NCI CGEMS study
that David Hunter co-directs. Primary results from the
study are freely available on the web at:
http://cgems.cancer.gov
This is the first time the
results of a whole genome association study have been
released to the scientific community.
Program
scientists confirm new gene for type II diabetes.
Cuilin Zhang, working with Associate
Professor Frank Hu of the Department of Nutrition has
confirmed that variants in the TCF7L2 gene are associated
with risk of type II diabetes in women and men. Using
samples from the Nurses’ Health Study and the Health
Professionals Follow-up study, Zhang showed that each copy
of the variant allele was associated with a 1.32-fold (P =
0.0002) and 1.53-fold (P < 0.0001) increased type 2 diabetes
risk in women and men, respectively. The results are
reported in the journal Diabetes, along with replications
of this association from several other groups:
Zhang C, Qi L, Hunter DJ, Meigs JB, Manson
JE, van Dam RM, Hu FB. Variant of transcription
factor 7-like 2 (TCF7L2) gene and the risk of type 2
diabetes in large cohorts of U.S. women and men. Diabetes.
2006 Sep;55(9):2645-8.
Inherited
genetic variation associated with plasma triglyceride and
HDL cholesterol levels.
Lu Qi, working with Associate Professor Frank
Hu of the Department of Nutrition, has shown that variants
at the apolipoprotein A1/C3/A4/A5 locus predict levels of
plasma lipids:
Qi L, Liu S, Rifai N, Hunter D, Hu FB. Associations of the
apolipoprotein A1/C3/A4/A5 gene cluster with triglyceride
and HDL cholesterol levels in women with type 2 diabetes.
Atherosclerosis. 2006 Jun 15.
Information
on genes improves risk prediction for skin cancer risk.
Jiali
Han shows that incorporating information on variants of the MC1R
gene modestly improved the ability to predict risk of skin
cancer, compared with the traditional risk factors such as hair
color and skin response to sun exposure. This is one of the
first demonstrations that incorporating information on common
variants in genes can improve risk prediction models:
Han J, Kraft P, Colditz GA, Wong J, Hunter DJ. Melanocortin
1 receptor variants and skin cancer risk. Int J Cancer. 2006
Oct 15;119(8):1976-84.
Program
scientists identify genetic variant as new risk factor for
colorectal cancer.
Working with MIT scientists, Greg Tranah
identified a variant in the MGMT DNA repair gene as associated with
reduced risk of colorectal cancer:
Tranah GJ, Bugni J, Giovannucci E, Ma J, Fuchs C, Hines L,
Samson L, Hunter DJ. O6-methylguanine-DNA methyltransferase
Leu84Phe and Ile143Val polymorphisms and risk of colorectal
cancer in the Nurses' Health Study and Physicians' Health
Study (United States). Cancer Causes Control. 2006
Jun;17(5):721-31.
Program
scientist helps identify new risk factor for diabetes and
heart disease.
Immaculata De Vivo, Associate Professor of
Epidemiology, collaborated with Eric Rimm of the Department
of Epidemiology and investigators in the Deparment of
Genetics and Complex Diseases to help identify a new gene variant
associated with risk of diabetes and heart disease:
Tuncman G, Erbay E, Hom X, De Vivo I, Campos H, Rimm EB,
Hotamisligil GS. A genetic variant at the fatty acid-binding
protein aP2 locus reduces the risk for hypertriglyceridemia,
type 2 diabetes, and cardiovascular disease. Proc Natl Acad
Sci U S A. 2006 May 2;103(18):6970-5.
Program
statistician Kraft documents the effect of genotyping
misclassification on genetic epidemiology studies.
Working with Usha Govindarajulu,
a postdoctoral fellow, Peter Kraft, Assistant Professor of
Epidemiology and Biostatistics, shows that genotyping error can have
a greater effect than previously appreciated on the results from
genetic epidemiology studies:
Govindarajulu US, Spiegelman D, Miller KL, Kraft P.
Quantifying bias due to allele misclassification in
case-control studies of haplotypes. Genet Epidemiol. 2006
Nov;30(7):590-601.
A new locus
identified for obesity.
In a collaboration with scientists at Boston
University, Christoph Lange, and Nan Laird from the HSPH
Department of Biostatistics, and an international team of
scientists, David Hunter and others participated in the
identification of a potential new genetic risk factor for
obesity:
Herbert A, Gerry NP, McQueen MB, Heid IM, Pfeufer A, Illig
T, Wichmann HE, Meitinger T, Hunter D, Hu FB, Colditz G,
Hinney A, Hebebrand J, Koberwitz K, Zhu X, Cooper R, Ardlie
K, Lyon H, Hirschhorn JN, Laird NM, Lenburg ME, Lange C,
Christman MF. A common genetic variant is associated with
adult and childhood obesity. Science. 2006 Apr
14;312(5771):279-83.
Program
scientist Niu and colleagues developed a novel
Coalescence-guided Hierarchical Bayesian (CHB) method for
haplotype inference.
Working with Prof. Jun S. Liu at Department
of Statistics, Harvard University, and a postdoctoral
fellow, Yu Zhang, Tianhua Niu, Assistant Professor of
Epidemiology, developed a novel and efficient algorithm for
haplotype inference, called “CHB”, that has merits in
performance compared with other popular software programs,
such as HAPLOTYPER and PHASE:
Zhang Y, Niu T, Liu JS. A
coalescence-guided hierarchical Bayesian method for
haplotype inference. Am J Hum Genet. 2006 Aug;79(2):313-22.
Archived News and Events:
Prof. David Hunter to
Lead New Program in Molecular and Genetic Epidemiology,
Harvard Public Health NOW,
February 20, 2004:
http://www.hsph.harvard.edu/now/feb20/
HSPH Mini-Course on
Computational Tools and Statistical Methods for SNPs, May 5
- June 2, 2006:
http://www.hsph.harvard.edu/research/bioinfocore/training/2006/index.html
Gene × Environment Interaction Seminar Series, 2006 - 2007:
http://www.biostat.harvard.edu/events/seminars/gene.html
Copyright, 2007, President and Fellows of Harvard College
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