Page 200 - ASHG 2013 Program Guide

POSTER SESSIONS
  187
POSTER SESSIONS
W=W
ednesday authors will present; T=Thursday authors will present; F=Friday authors will pr
esent
1798
F Genome-wide imputation in multiple cohorts to
study susceptibility to sepsis in Europe.
T. C. Mills, A.
Rautanen, E. Davenport, P. Hutton, J. Knight, T. Meitinger,
C. Garrard, F. Stueber, C. Hinds, A. V. S. Hill, GenOSept
Investigators.
1799
W LD friends: A method to disentangle
polygenicity from population stratification
B. K. Bulik-
Sullivan, N. Patterson, A. Price, M. Daly, B. Neale.
1800
T Extended Mantel test for comparing differences
in linkage disequilibrium between populations.
N. Tanaka.
1801
F Bivariate joint phenotype-endophenotype
measured genotype association testing in complex
pedigrees.
J. W. Kent, T. D. Dyer, M. Almeida, V. P. Diego,
J. Blangero.
1802
W A multi-sample U-statistic for family-based
association studies.
M. Li, Z. He, D. Schaid, M. Cleves,
T. Nick, Q. Lu.
1803
T Robust and powerful sibpair test for rare variant
association.
K. Lin, S. Zöllner.
1804
F Analysis of ultra high-dimensional data in
imaging genetics studies.
J. Kang, Y. J. Hu.
1805
W A general regression framework for a
secondary outcome in case-control studies.
E.
Tchetgen Tchetgen.
1806
T Mining the human phenome using allelic scores
that index biological intermediates.
D. M. Evans, M.
J. Brion, L. Paternoster, J. P. Kemp, G. McMahon, M.
Munafo, N. J. Timpson, B. St. Pourcain, D. A. Lawlor, A.
Dehghan, J. Hirschhorn, G. D. Smith.
1807
F Evolutionary triangulation: A novel approach
for filtering association esults.
M. Huang, C. Amos,
L. Muglia, S. Williams.
1808
W Detecting a weak association by testing its
multiple perturbations.
M. T. Lo, W. C. Lee.
1809
T A Bayesian approach to detect differentially
methylated loci with next-generation sequencing using
integrated nested Laplace approximation.
L. Shuang, R.
Podolsky, D. Ryu, V. George, H. Xu.
1810
F Methodology for mitochondrial phenome-wide
association studies.
J. Hall, W. Bush, S. Pendergrass,
R. Goodloe, J. Boston, E. Farber-Eger, D. Crawford,
S. Mitchell.
1811
W Mechanistic phenotypes: An aggregative
phenotyping strategy to identify disease mechanisms
using GWAS data.
J. D. Mosley, S. L. Van Driest, E. K.
Larkin, P. E. Weeke, J. S. Witte, Q. S. Wells, J. H. Karnes,
L. Bastarache, L. M. Olson, C. A. McCarty, J. A. Pacheco,
G. P. Jarvik, E. B. Larson, D. R. Crosslin, I. J. Kullo, G.
Tromp, H. Kuivaniemi, D. J. Carey, M. D. Ritchie, R. Li,
J. C. Denny, D. M. Roden.
1782
T Estimating causal variant allele frequency, and
thus efficacy of sequencing, at genetic loci identifie
by GWAS.
P. F. O’Reilly, C. J. Hoggart.
1783
F Testing association without calling genotypes
allows for systematic differences in read depth and
sequencing error rate between cases and controls.
G.
A. Satten, H. R. Johnston, A. S. Allen, Y. J. Hu.
1784
W Meta-analysis of sequencing studies under
random-effects models.
Z. Tang, D. Lin.
1785
T A mixed model using both principal components
and top markers corrects for population stratification
and improves power.
G. Tucker, B. Berger.
1786
F Use of P-values to evaluate the probability of a
genuine finding in a large-scale genetic association
studies.
O. Vsevolozhskaya, C. L. Kuo, D. Zaykin.
1787
W A correction strategy for imputation across
genotyping arrays.
Y. Xie, J. Rice, L. Bierut, R. Culverhouse,
N. Saccone, E. Johnson, D. Hancock, COGEND collaborators.
1788
T Testing genetic association at untyped rare
variants, an alternative to imputation-based two-step
approach.
K. Ye.
1789
F The more you test, the more you find: Massive
multiple testing does not promote spurious findings
among top hits of association studies.
D. V. Zaykin, C.
L. Kuo, O. A. Vsevolozhskaya.
1790
W Efficient algorithms for multivariate linear
mixed models in genome-wide association studies.
X.
Zhou, M. Stephens.
1791
T Combined association and admixture mapping
in Latinos.
A. Brisbin, A. Boyd, S. Rachid, G. Lei, A. C.
Pereira, J. E. Krieger, M. de Andrade.
1792
F Detecting epistasis effects via sliced inverse
modeling.
J. S. Liu, B. Jiang, Y. Liu, M. Hu, C. Ye.
1793
W Admixed-MASTOR: Mixed-model association
mapping of quantitative traits in genetically admixed
samples with related individuals.
T. Thornton, M. S. McPeek.
1794
T Detecting local haplotype sharing and
haplotype-phenotype association.
Y. Guan, H. Xu.
1795
F JEPEG: Software for testing the joint effect on
phenotype of eQTLs in a gene.
D. Lee, V. Williamson, T.
Bigdeli, V. Vladimirov, S. Bacanu.
1796
W Detection boundary and higher criticism
approach for rare and weak genetic effects.
Z. Wu, Y.
Sun, S. He, J. Cho, H. Zhao, J. Jin.
1797
T A novel method utilizing GWAS data identifies
SNPs in the imprinted gene
KCNK9
exhibiting parent-
of origin effects on BMI.
C. J. Hoggart, J. H. Zhao, J.
Luan, F. Gomez, G. B. Ehret, M. Mangino, A. Teumer, N.
Tšernikova, T. Winkler, W. Zhang, B. Benyamin, D. Evans,
S. Vedantam, M. R. Jarvelin, A. Scherag, C. Rivolta, I.
Borecki, J. Hirschhorn, R. Loos, T. Frayling, Z. Kutalik.