IHMC talks I’m the most excited about

Here is a list of the international human microbiome congress talks I’m the most excited about, a full agenda can be found here. There are some concurrent talks so it’s impossible to attend all the seminars. Josh and Rosie will both be presenting posters.


Bret  Finlay, Ph.D. University of British Columbia: The Role of the Microbiota in Infectious Enteric Diseases

Masahira Hatori, Ph.D.University of Tokyo: Analysis of the Effect of Probiotics on Shaping of Human Gut Microbiota

Xiaoxia Nina Lin, Ph.D.University of Michigan: Micro-Droplet Enabled Parallel Co-Cultivation of Symbiotic Microbial Communities

Michiel Kleerebezem, Ph.D.NIZO Food Research: The Molecular Characterization of Human Small Intestine Microbiota and Host-Microbe Communication

Kieran O’Doherty, Ph.D.University of Guelph: Social and Philosophical Ramifications of the Human Microbiome Project

Michelle I. Smith, Ph.D.Washington University in St. Louis: Personalized Gnotobiotics: Metagenomic Studies of Humanized Gnotobiotic Mice Harboring the Gut Microbiomes of Malawian Twins Discordant for Kwashiorkor

Alan Walker, Ph.D.The Wellcome Trust Sanger Institute: Selective Enrichment of Key Bacterial Groups Within the Human Colon in Response to Changes in Diet


Francisco Guarner, M.D., Ph.D.University Hospital Vall d’Hebron: Gut Microbiota Studies in Ulcerai ve Colitis

Liping Zhao, Ph.D.Shanghai Jiao Tong University: Whole-Body Systems Approaches for Gut Microbiota-Targeted, Preventive Healthcare

Mari n Blaser, M.D.NYU Langone Medical Center: Disappearing Microbiota and Epidemic Obesity

Eric Alm, Ph.D.MIT – Biological/Civil and Environmental Engineering: The Human Microbiome Forms a Global, Ecologically Structured Network of Gene Exchange

Joseph Petrosino, Ph.D.Baylor College of Medicine: Approaches for Revealing Virus and Phage Communities in Healthy and Diseased Individual

Frederic D. Bushman, Ph.D.University of Pennsylvania School of Medicine: The Virome of the Human Gut: Metagenomic Analysis of Changes Associated with Diet

Heather Maughan, Ph.D.University of Toronto: Ecology and Evolution of the Cystic Fibrosis Lung Microbiome


Makedonka Mitreva, Ph.D.The Genome Center at Washington University: The Microbiome of Healthy Humans: Commonalities and Variation

Larry Forney, Ph.D.University of Idaho: The Temporal Dynamics of the Vaginal Microbiota in Reproductive Age Women

Brandi Cantarel, Ph.D.University of Maryland School of Medicine: The ‘Omics of the Human Gut Microbiota in Crohn’s Disease Reveals Functional Insight

Sarkis K. Mazmanian, Ph.D.California Institute of Technology: Unlocking the Evolutionary Mysteries of Microbiome-Immune Symbiosis

Claire Fraser-Ligget , Ph.D.University of Maryland School of Medicine: The Role of the Gut Microbiota in Obesity in the Amish

1 Comment (+add yours?)

  1. Clem
    Mar 09, 2011 @ 04:42:19

    I know this isn’t from the conference, but thought you might find if of some value:

    From the American Journal of Human Genetics (in press…)

    Estimating Missing Heritability for Disease from Genome-wide Association Studies

    Sang Hong Lee1, Naomi R. Wray1, Michael E. Goddard2, 3 and Peter M. Visscher1,
    1 Queensland Institute of Medical Research, 300 Herston Rd, Herston, Queensland 4006, Australia

    Genome-wide association studies are designed to discover SNPs that are associated with a complex trait. Employing strict significance thresholds when testing individual SNPs avoids false positives at the expense of increasing false negatives. Recently, we developed a method for quantitative traits that estimates the variation accounted for when fitting all SNPs simultaneously. Here we develop this method further for case-control studies. We use a linear mixed model for analysis of binary traits and transform the estimates to a liability scale by adjusting both for scale and for ascertainment of the case samples. We show by theory and simulation that the method is unbiased. We apply the method to data from the Wellcome Trust Case Control Consortium and show that a substantial proportion of variation in liability for Crohn disease, and type I diabetes is tagged by common SNPs.


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