Page 199 - ASHG 2013 Program Guide

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POSTER SESSIONS
W=W
ednesday authors will present; T=Thursday authors will present; F=Friday authors will pr
esent
1766
W An optimal quasi-likelihood-based burden test
for rare-variant association.
X. Wu, H. Zhu, D. Liu.
1767
T An empirical validation of random effects and
Bayesian meta-analysis models.
R. Ahn, C. Garner.
1768
F Methods and tools for fast efficient mixed
models based whole-genome association analysis for
large cohorts and multiple phenotypes.
Y. Aulchenko.
1769
W PODKAT: A non-burden test for associating
complex traits with rare and private variants.
U.
Bodenhofer, S. Hochreiter.
1770
T Model-based pathway enrichment analysis
and prioritization of genetic variants in enriched
pathways yields novel putative susceptibility loci for
rheumatoid arthritis and type 1 diabetes.
P. Carbonetto,
M. Stephens.
1771
F Rapid linear mixed model methods for large-
scale genome-wide association studies.
W.-M. Chen,
A. Manichaikul, S. S. Rich, M. Cushman, M. M. Sale.
1772
W An effective association testing procedure
incorporating admixture mapping information.
G. Gao,
W. Chen.
1773
T Mixed model association statistic with
correction for case-control ascertainment provides
large increase in power.
T. Hayeck, N. Zaitlen, B.
Vilhjalmsson, S. Pollack, J. Yang, G. Chen, M. Goddard, P.
Visscher, N. Patterson, A. Price.
1774
F Testing the spatial correlation of association
signals from two genome scans.
J. Hecker, D.
Propopenko, P. Costa, E. Silverman, M. Naylor, S. Weiss,
C. Lange, H. Loehlein Fier.
1775
W Variable selection for GWAS with linear mixed
models yields improved power and control of type I
error.
D. Heckerman, O. Weissbrod, N. Fusi, C. Kadie, R.
Davidson, C. Lippert, J. Listgarten.
1776
T Association studies of imputed genotypes using
expectation-maximization likelihood-ratio test.
K-C.
Huang, Y. Li.
1777
F Bayesian sparse models of high-dimensional
correlated traits in related and unrelated individuals.
V.
Iotchkova, J. O’Connell, A. Dahl, J. Marchini.
1778
W Effect size estimation in the stage of planning a
replication study.
C. Kuo, D. Zaykin.
1779
T Greater power for kernel-based tests using
the likelihood ratio.
J. Listgarten, J. Xiang, C. Kadie, D.
Heckerman, C. Lippert.
1780
F Bayesian mixed model association statistics in
linear time.
P. Loh, N. Patterson, A. L. Price.
1781
W Near equivalent calibration and power of
joint and meta-analysis for association analysis of
quantitative traits.
C. Ma, T. Blackwell, M. Boehnke, L. J.
Scott, and the GoT2D investigators.
1751
W Recursive organizer: An analytic framework
for sequence-based association analysis.
X. Huang,
L. P. Zhao.
1752
T Valid permutation tests for genetic case-control
studies with missing genotypes.
D. D. Kinnamon, E. R.
Martin.
1753
F Heritability of gene expression variation.
Z. Liu,
J. Huang, W. Cookson, M. Moffatt, L. Liang.
1754
W On the simultaneous testing for large genomic
regions: A clustering approach for rare variants.
S. Lutz, C. Lange.
1755
T A kernel based multilocus genetic association
test for longitudinal quantitative phenotype data.
I. Mukhopadhyay, P. K. Mandal.
1756
F Adaptive approaches for combining multiple
rare variant association tests provide improved
power across a wider range of genetic architecture.
M. O’Connell, A. Benitez, J. Arbet, K. Grinde, C. Fu, B.
Greco, A. Hainline, N. Tintle.
1757
W Genome-wide association study of allergic
rhinitis.
C. Schaefer, J. Liu, L. Shen, T. Hoffmann, M. Kvale,
Y. Banda, D. Ranatunga, N. Risch, J. Witte, E. Jorgenson.
1758
T Disentangling pooled triad genotypes for
association studies.
M. Shi, D. M. Umbach, C. R. Weinberg.
1759
F Meta-analysis of genome-wide association
studies in myopia in nine populations.
C. Simpson, R.
Wojciechowski, V. Verhoeven, P. Hysi, M. Schache, X. Li,
M. Hosseini, L. Portas, F. Murgia, K. Oexle, A. Paterson, V.
Vitart, C. Hammond, P. N. Baird, M. Pirastu, J. Rotter, C. C.
W. Klaver, T. Meitinger, D. Stambolian, J. E. Bailey-Wilson.
1760
W Identifying disease susceptibility variants using
pleiotropy and independent genome-wide association
studies.
A. Skol.
1761
T An extrapolation approach for estimating
genome-wide significance for whole genome
sequencing studies and region-based tests.
C. Xu, on
behalf of UK10K Statistics Group.
1762
F Methods for association analysis and meta-
analysis of rare variants in families.
S. Feng, D. Liu,
M. Zawistowski, X. Zhan, G. R. Abecasis.
1763
W Testing for differences between multiple groups
in high-throughput sequencing data using Bayesian
multi-scale Poisson models.
H. Shim, E. Pantaleo, M.
Stephens.
1764
T Detecting association of rare variants by testing
an optimally weighted combination of variants for
censored survival outcomes.
X. Wang, X. Zhao.
1765
F Detecting association for low-frequency variants
by the standardized linkage disequilibrium in case-
control genome-wide screens.
C. Xing, C.-Y. Lin, H.-C. Ku.