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Thanks to Today's PIs: Dec 2, 2007


Genome Technology extends its sincere thanks to the leaders who generously took the time to recommend the up-and-coming investigators profiled in this special issue. We’re delighted to have such a noteworthy group of scientists to point us in the right direction.

Russ Altman
Stanford University

David Baker
University of Washington

Ewan Birney
European Bioinformatics Institute

Roger Brent
Molecular Sciences Institute

Steven Briggs
University of California, San Diego

Margit Burmeister
University of Michigan

Aravinda Chakravarti
Johns Hopkins University School of Medicine

George Church
Harvard Medical School

David Clemmer
Indiana University

Francis Collins
National Human Genome Research Institute

Richard Gibbs
Baylor College of Medicine

Jonathan Haines
Vanderbilt University

Lee Hartwell
Fred Hutchinson Cancer Research Center

David Haussler
University of California, Santa Cruz

Laurence Kedes
Keck School of Medicine, University of Southern California

Chittaranjan Kole
Clemson University

Elaine Mardis
Washington University
School of Medicine

Jill Mesirov
Broad Institute

Joachim Messing
Rutgers University

Paul Morrison
Dana-Farber Cancer Institute

Emanuel Petricoin
George Mason University

John Quackenbush
Dana-Farber Cancer Institute

Steve Scherer
Hospital for Sick Children

Barbara Sherry
North Carolina State University

Michael Snyder
Yale University

Bruce Stillman
Cold Spring Harbor Laboratory

Greg Tsongalis
Dartmouth-Hitchcock Medical Center

Juan Valcárcel
Centre de Regulació Genòmica

The Scan

Breast Cancer Risk Related to Pathogenic BRCA1 Mutation May Be Modified by Repeats

Several variable number tandem repeats appear to impact breast cancer risk and age at diagnosis in almost 350 individuals carrying a risky Ashkenazi Jewish BRCA1 founder mutation.

Study Explores Animated Digital Message Approach to Communicate Genetic Test Results to Family Members

In the Journal of Genetic Counseling, the approach showed promise in participants presented with a hypothetical scenario related to a familial hereditary breast and ovarian cancer syndrome diagnosis.

Computational Tool Predicts Mammalian Messenger RNA Degradation Rates

A tool called Saluki, trained with mouse and human messenger RNA data, appears to improve mRNA half-life predictions by taking RNA and genetic features into account, a Genome Biology paper reports.

UK Pilot Study Suggests Digital Pathway May Expand BRCA Testing in Breast Cancer

A randomized pilot study in the Journal of Medical Genetics points to similar outcomes for breast cancer patients receiving germline BRCA testing through fully digital or partially digital testing pathways.