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Programme

We are sorry to announce that Professor Sir John Burn, who was previously scheduled to give the keynote (invited) talk, is no longer able to attend.

However, we are delighted to announce that the keynote (invited) talk will now be given by Professor D. Tim Bishop:

http://medhealth.leeds.ac.uk/profile/900/838/david_timothy_bishop

The meeting will be 2 full days of talks and poster sessions on the 11th and 12th of May, and a dinner on the night of the 11th of May. The meeting will start at 09.00 on Wednesday 11th and is expected to finish at 16.40 on Thursday 12th.

Below is the draft programme for the EMGM 2016 and is also available to download: EMGM 2016 Programme

European Mathematical Genetics Meeting 2016

Newcastle University, UK, May 11^th-12^th 2016

Wednesday May 11th

09:00 – 09.20: Registration open (Old Library Building, Ground Floor)

Wednesday posters up (Research Beehive, Room 2.20)

09.20 – 09.30: Welcome (Research Beehive, Room 2.21/2.22)

09.30 – 10.50: Session 1: Error detection and heterogeneity

Chairs TBA

09.30 – 09.50: Heide Löhlein Fier, Harvard T.H.Chan School of Public Health

On the detection of phenotypic subgroups in genetic data

09.50 – 10.10: Alexessander Couto Alves, King’s College London

Adjustment for gene expression PCA scores may induce reproducible

false positive associations in eQTL analysis partly due to endogenous

selection bias

10.10 – 10.30: Lerato Magosi, University of Oxford

Spot the difference: multi-variant statistics to identify systematic patterns

of heterogeneity in GWAS meta-analysis

10.30 – 10.50: Stefan Böhringer, Leiden University Medical Center

A Hardy-Weinberg goodness-of-fit test in the presence of covariates

(Morra et al.)

10.50 – 11.20: Tea, Coffee and Posters (Research Beehive, Foyers 1 and 2)

11.20 – 12.40: Session 2: Association and interaction

Chairs TBA

11.20 – 11.40: Saurabh Ghosh, Indian Statistical Institute, Kolkata

Effect of population stratification on powers of association tests for

quantitative traits

11.40 – 12.00: Paul Newcombe, MRC Biostatistics Unit, Cambridge

JAM: A new and scaleable Bayesian framework for joint re-analysis of

marginal SNP effects

12.00 – 12.20: Grégory Nuel, Sorbonne Universités, Paris

Detecting gene-environment interaction using breakpoint models for

logistic regression (Alarcon et al.)

12.20 – 12.40: Inke König, Universität zu Lübeck

Do little interactions get lost in dark random forests? (Wright et al.)

12.40 – 13.50: Lunch (Research Beehive, Foyers 1 and 2)

13.15 – 13.45: Wednesday poster authors present (Research Beehive, Room 2.20)

13.50 – 15.10: Session 3: SNP heritability and prediction I

Chairs TBA

13.50 – 14.10: Frank Dudbridge, London School of Hygiene and Tropical Medicine

Prediction accuracy of combined genetic and non-genetic risk scores

14.10 – 14.30: Mairead Bermingham, University of Edinburgh

Machine learning can improve prediction of lifetime major depressive

disorder in Generation Scotland: Scottish Family Health Study

14.30 – 14.50: Reedik Mägi, University of Tartu

Polygenic profiles for predicting risk of early menopause

(Laisk-Podar et al.)

14.50 – 15.10: Najla Elhezzani, King’s College London

Heritability estimation in matrix-variate mixed models - a Bayesian

approach

15.10 – 15.40: Tea, Coffee and Posters (Research Beehive, Foyers 1 and 2)

15.40 – 16.40: Session 4: Rare variants

Chairs TBA

15.40 – 16.00: Suzanne Leal, Baylor College of Medicine

Pitfalls in development of statistical methods for rare variant association

studies

16.00 – 16.20: Dmitry Prokopenko, University of Bonn

On grouping strategies of rare variants in whole genome association

studies

16.20 – 16.40: Dmitriy Drichel, Cologne Center for Genomics

Beyond exomes: a nonparametric collapsing test for joint analysis of rare

variants

16.40 – 17.15: Discussion and vote for EMGM venues for 2017 and 2018

(Research Beehive, Room 2.21/2.22)

17.15: Wednesday posters down

19.15 – 23.00: Conference dinner (BALTIC River Terrace)

19.15: Drinks served (voucher or cash payments accepted)

19.45: Hot buffet served

Thursday May 12th

09:15 – 09.30: Registration open (Old Library Building, Ground Floor)

Thursday posters up (Research Beehive, Room 2.20)

09.30 – 10.50: Session 5: Multiple traits

Chairs TBA

09.30 – 09.50: Osvaldo Anacleto, University of Edinburgh

Looking for the superspreading gene: a stochastic social effects model for

bivariate GWAS of epidemiological traits

09.50 – 10.10: Elvina Gountouna, University of Edinburgh

Genome-wide significant association of the TUBB4A gene and social

dysfunction in the Generation Scotland: Scottish Family Health Study

10.10 – 10.30: James Staley, University of Cambridge

Test to identify colocalisation of genetic association signals across

multiple traits using study level summary statistics

10.30 – 10.50: Jennifer Asimit, Wellcome Trust Sanger Institute

A two-stage inter-rater approach for enrichment testing of variants

associated with multiple traits

10.50 – 11.20: Tea, Coffee and Posters (Research Beehive, Foyers 1 and 2)

11.20 – 12.40: Session 6: SNP heritability and prediction II

Chairs TBA

11.20 – 11.40: Evangelina López de Maturana, Spanish National Cancer Research Centre

A Bayesian lasso genome-wide multimarker approach to predict

prognosis: an application to bladder cancer progression

11.40 – 12.00: Krista Fischer, University of Tartu

In search for genetic predictors of survival time

12.00 – 12.20: Jenna Strathdee, University of Leeds

Using polygenic risk scores to understand baseline disease activity and

response to treatment in rheumatoid arthritis

12.20 – 12.40: Julian Hecker, University of Bonn

PolyGEE: A generalized estimating equation approach to the efficient

estimation of polygenetic effects in large-scale association studies

12.40 – 13.50: Lunch (Research Beehive, Foyers 1 and 2)

13.15 – 13.45: Thursday poster authors present (Research Beehive, Room 2.20)

13.50 – 15.00: Session 7

Chairs TBA

13.50 – 14.40: Invited talk (D. Timothy Bishop, University of Leeds)

14.40 – 15.00: Lyndal Henden, Walter and Eliza Hall Institute of Medical Research, Melbourne

Detecting relatedness within malaria samples

15.00 – 15.30: Tea, Coffee and Posters (Research Beehive, Foyers 1 and 2)

15.30 – 16.30: Session 8: Biological integration

Chairs TBA

15.30 – 15.50: Sarah Gagliano, King's College London

In silico identification of genetic risk variants for Parkinson’s disease

15.50 – 16.10: Juan Botía, University College London

An additional k-means clustering step improves the biological features of

WGCNA gene co-expression networks

16.10 – 16.30: Said el Bouhaddani, Leiden University Medical Center

Integrated analysis of several omics datasets using O2PLS

16.30 – 16.40: Presentation of prizes and close of meeting

(Research Beehive, Room 2.21/2.22)

Wednesday Poster Presentations (11th May, 13.15-13.45 Room 2.20)

(1) A. Alenazi, A. Cox, M. A. Juarez, K. Walters

A fully Bayesian differential-shrinkage approach to incorporating functional genomic

information into case-control fine mapping studies

(2) D. Almorza, M. Kandus, J. Salerno

The efficiency of AMMI and GGE methods in the evaluation of GxE interaction

(3) E. Baker, R. Sims, GERAD, IGAP, P. Holmans, J. Williams, V. Escott-Price

Comparison of gene based methods to identify novel AD associated genes

(4) R. Brinster, D. Scherer, J. Lorenzo Bermejo

Adjustment for population stratification in European association studies via informative

markers of the principal ancestry components

(5) J. Cook, A. Mahajan, and A. Morris

Comparison of methods for meta-analysis of binary traits with linear models

(6) C. Dandine-Roulland, H. Perdry

Gaston, an R package for genome-wide data manipulation

(7) M. de Andrade , S. Armasu, B. McCauley, T. Petterson, J. Heit

Gene-environment interactions using time to event is more effective than using case-control

approach: VTE case study

(8) M. Emily, N. Sounac, F. Kroell

Analyzing gene-based gene-gene interactions with R

(9) B. Francis, A. Jorgensen, A. Morris, A. Ingason, A. Marson, M. Johnson, G. Sills, on

behalf of the EpiPGX consortium

Genome-wide two-way competing risks approach to analyse time to antiepileptic drug

withdrawal

(10) A. Fuady, W. van Roon, S. Kielbasa, J. Houwing-Duistermaat

Statistical method for modelling sequencing data from different platforms in longitudinal

studies

(11) R. González Silos, J. Lorenzo Bermejo

Inspection of allele counts instead of called genotypes: a good alternative for testing genetic

association based on sequence data?

(12) N. Hassan, M. García-Fiñana, G.Czanner, A. Jorgensen

tSNR as feature selection technique in SNP data analysis

(13) K. Heine, A. Beskos, M. De Iorio, A. Jasra

Tree bridging Markov chain Monte Carlo for ancestral inference

(14) A.Herzig, T. Nutile, M. Babron, M. Ciullo, C. Bellenguez, A. Leutenegger

Comparison of phasing and imputation algorithms on simulated sequence data in a population

isolate

Thursday Poster Presentations (12th May, 13.15-13.45 Room 2.20)

(1) L. Jiang, V. Lagou, K.-S. Gutierrez, M. Kaakinen, I. Prokopenko, for the MAGIC

investigators

Genetic relationships between random glucose, six glycaemic traits and type 2 diabetes

(2) M. Kaakinen, A. Claringbould, F. Hagenbeek, R. Mägi, P. Soininen, M-R. Järvelin,

BIOS Consortium, A. Morris, I. Prokopenko

Genome-wide multi-phenotype and eQTL analyses provide novel insights into omega fatty

acid metabolism

(3) K. Läll, K. Fischer, R. Mägi

Investigating the heritability of polygenic risk scores – a simulation study

(4) E. Loizidou, E. Bellos, M. Johnson, L. Coin, I. Prokopenko

Detection of copy number variation associated with drug-response using whole genome

sequencing data

(5) E. Motazedi, R. Finkers, C. Maliepaard, D. de Ridder

An evaluation of haplotyping algorithms for polyploids

(6) V.Perduca, G.Nuel

A new versatile statistic for genome-wide association studies

(7) Y. Ruan, G. Breen, P. O’Reilly

Pathway polygenic risk score identifies heterogeneous genetic bases of complex diseases

(8) M. Santibanez-Koref

Comparing total and allelic expression for mapping cis-acting polymorphism

(9) S. Siegert, L. Roewer, M. Nothnagel

Equivocation-based Y-STR marker selection at the population level

(10) G. Svishcheva, N. Belonogova, T. Axenovich

Equivalence of full and beta-smooth only models used in gene-based association analysis

(11) O. Tal

From typical sequences to typical genotype

(12) S. Tsairidou, S. Brotherstone, M. Coffey, S. Bishop, J. Woolliams

Quantitative genetic analysis of the bTB diagnostic single intradermal comparative cervical test

(13) T. Vivian-Griffiths, A. Artemiou, A. Pocklington, J. Walters, J. Moran, S. McCarroll,

M. O’Donovan, M. Owen, V. Escott-Price

Using support vector machines methods to assess gene set interactions and association with

treatment resistant schizophrenia

(14) P. Yin, A. Jorgensen, A. Morris, R. Turner, R. Fitzgerald, R. Stables, A. Hanson, M.

Pirmohamed

The influence of pharmacogenetics on the time to acute coronary syndrome recurrence in a

UK cohort study