Exploring Human Host-Microbiome Interactions in Health and Disease07 - 09 September 2016Wellcome Genome Campus, Hinxton, UK
Deadlines (at 23:59 UTC):
- Bursary Deadline Closed
- Abstract Deadline Closed
- Registration Deadline Closed
The 5th Exploring Human Host-Microbiome Interactions in Health and
Disease meeting will once again bring together leading scientists and
clinicians from the fields of microbiology, ecology, immunology,
gastroenterology, dermatology and public health to discuss the latest
developments in this fast-moving field.
Recent studies have revealed the extraordinary complexity of the gut
microbial ecology and its network connectivity to the metabolic
regulation of important pathways in the host. Alterations in the
composition of the microbiome have been associated with many
non-infectious diseases including inflammatory bowel conditions,
autoimmune diseases, cancers and diabetes. Studies on microbiota from
other body sites are helping us to achieve a more comprehensive
understanding of how microorganisms affect the host.
This meeting will update current knowledge of how various microbiomes
(oral, gut, skin, lung etc.) communicate with the host and the factors
that influence these interactions. The programme will discuss the new
developments enabled by metagenomics, metabolomics and other
technologies. Attendees will have the opportunity to participate in
discussions on how to apply recent discoveries to disease processes,
health restoration and maintenance. As in previous years, the warm
welcome given to students and the open friendly atmosphere provide
attendees with an enjoyable conference.
The conference will start at approximately 12.00 on Wednesday, 7
September and close at approximately 13.30 on Friday, 9 September 2016.
There will be a workshop on data analysis from 9.30-12.00 on Wedensday 7
September, before the main conference programme begins.
Topics will include:
- Host-microbe communication
- Microbiome in chronic disease
- New technology
- Study design and exploiting the data
- Microbes at key stages of life
- Diet and the microbiome
- Skin microbiome
- Microbiome evolution
- Lung microbiome
- Organisers / Speakers
Scientific programme committee
Glenn Gibson University of Reading, UK
Gregor Reid Lawson Health Research Institute, Canada
Cath O’Neill University of Manchester, UK
Karen Scott University of Aberdeen, UK
Colin Hill University College Cork, Ireland
Doug Kell University of Manchester, UK
Paul O’Toole University College Cork, Ireland
Bjorn Andersson Karolinska Institutet, Sweden
Lisa Barrett Dalhousie University,
Debby Bogaert UMC Utrecht/Sheffield University, The
Paul Bowyer University of Manchester, UK
Carmen Collado UTU, Finland and IATA-CSIC, Spain
Robert P. Dickson University of Michigan, USA
Greg Gloor University of Western Ontario, Canada
Audrey Gueniche LOREAL, France
Ailsa Hart St Mark’s Hospital, UK
Daniel Merenstein Georgetown University, USA
Clarissa Nobile University of California, USA
Majdi Osman OpenBiome, USA
Barry Plant University College Cork, Ireland
Jacques Ravel University of Maryland School of Medicine,
W. Joost Wiersinga University of Amsterdam, The
Neil Williams Nottingham Trent University, UK
Jemma Beard Wellcome Genome Campus, UK
- Registration / Accommodation
Student No accommodation £299.00 Student On site twin accommodation £399.00 Student On site single accommodation £461.00 Academic No accommodation £399.00 Academic On site twin accommodation £499.00 Academic On site single accommodation £561.00 Commercial No accommodation £499.00 Commercial On site twin accommodation £599.00 Commercial On site single accommodation £661.00
The registration fee includes entrance to the lectures and poster
sessions, an abstract book, meals (lunch and dinner) and refreshments
during the conference. Breakfast will be provided for delegates who have
Registration deadline: Closed.
Accommodation is provided for the nights of 7 and 8 September
2016. Please note: there is limited onsite accommodation
and this will be allocated on a first-come, first-served basis.
Therefore, early registration is recommended.
If you wish to book onsite accommodation either side of the conference
dates, please contact the Conference Centre directly.
Contact the conference organiser if you require a letter to support a
travel visa application. Please note: letters will only be provided to
Non-European Economic Area or Swiss nationals may be required to have a
visa to enter the UK.
Early application is strongly advised, as this process can take 6-8 weeks
Please visit the following websites for further information:
UK Border Agency website: www.ukba.homeoffice.gov.uk/visas-immigration/
Information for general visitors and business visitors: www.ukba.homeoffice.gov.uk/visas-immigration/visiting/business/business-activities/
- Abstracts / Bursaries
We welcome abstracts from all areas relevant to the main themes of the
meeting, for both oral and poster presentations. Several oral
presentations will be chosen from the abstracts submitted.
Abstracts will only be considered from registered delegates. Please use our online abstract submission system and follow the instructions given to ensure your abstract is submitted correctly. All abstracts must be submitted by the deadline. If you are intending to submit more than one abstract, please contact the conference organiser prior to registration.
The scientific programme committee will assess your abstract after the
deadline has passed and you will be notified whether you have been
selected for an oral or poster presentation.
Poster boards onsite will accommodate 118 cm high by 84 cm wide (A0-
portrait) of printed material. Accepted abstracts will appear in the
conference programme book and poster boards will be allocated at the
Abstract deadline: Closed
Abstract guidelines can be viewed here.
A limited number of registration bursaries are available for PhD students
to attend this conference (up to 50% of the registration fee) from
Wellcome Genome Campus Scientific Conferences.
The following documents will need to be provided:
- Covering letter
- Letter from supervisor
To apply, please contact the conference organiser.
Bursary deadline: Closed
Welcome to the Simplex: analyzing your microbiome datasets as
7 September 2016
Gregory Gloor University of Western
Jean Macklaim University of Western Ontario, Canada
Findings from microbiome datasets in one lab are often irreproducible in
another. For example, there was essentially no overlap of the taxa
identified as distinguishing non-alcoholic fatty liver disease from
health in 6 primary research papers. In part, this irreproducibility is a
consequence of the use of inappropriate analysis methods.
Data generated by high throughput sequencing has a constraint on the
number of read counts imposed by the machine. For example, the same
library will give different numbers of reads per feature (OTU or gene)
when sequenced on an Illumina MiSeq or HiSeq instrument. Thus, the number
of reads observed for a given sample gives no information on the number
of molecules in the underlying sample, and indeed any dataset that can be
reduced to a proportion or a relative abundance is a composition. These
data are called compositional data, and must be treated as such for
analysis. Compositional data behave very differently than normal count
data because only relative information is available. Thus, operations
such as addition and subtraction are not valid – meaning common
statistical tests are misleading. Furthermore, covariance and correlation
have unpredictable outcomes – meaning clustering, ordination and network
analysis give spurious and unreliable outputs.
Compositional data can be analyzed by examining only the ratios between
features, because this information is conserved no matter the sequencing
depth. Participants enrolled in this short course will be introduced to
the compositional data analysis toolkit, and how to adapt it to
microbiome, transcriptome or metagenome datasets. These datasets are
sparse, containing many 0 values, and particular attention will be paid
to showing how to adapt compositional data analysis to such data.
After attending this short workshop, participants will be able to:
- Use and interpret compositional biplots for exploratory analysis of their datasets.
- Apply compositionally appropriate methods for outlier detection.
- Conduct robust differential abundance analysis.
- Use and interpret compositional association as a replacement for correlation between features.
Participants should bring their own laptop with an up-to-date version of the R statistical programming language installed. Participants are encouraged to bring their own datasets for analysis, and example datasets will be posted online. A list of pre-workshop reading and R packages required for the course will be available upon registration.
The workshop will take place at 9.30-12.00, before the main conference
Please indication whether you would like to attend this workshop when
registering for the conference or contact the conference organiser.