Page 179 - ASHG 2012 Annual Meeting Program Guide

168
POSTER SESSIONS
W=Wednesday authors will present; T=Thursday authors will present; F=Friday authors will present
in samples with related individuals.
Z. Wang.
1421
W Association of three polymorphisms of IL-18
genes (
137
G/C, 607C/A,133C/G
)
in patients with
allergic rhinitis in the Iranian population.
S. Ramazi,
M. Motovalibashi, H. Khazraei, M. Hashemzadeh
Chaleshtori.
1422
T Accounting for population stratification in DNA
methylation studies.
R. T. Barfield, L. M. Almli, V. Kilaru,
A. K. Smith, K. B. Mercer, T. Klengel, D. Mehta, E. B.
Binder, K. J. Ressler, K. N. Conneely.
1423
F Genetic case-control matching strategies for
rare-variants analysis in genome-wide association
studies.
A. Lacour, T. Becker.
1424
W Ancestry informative principal components
analysis in structured samples with known or cryptic
relatedness.
T. Thornton, M. Conomos.
1425
T Admixture and association mapping identifies
marker in FAM19A2 associated with FEV
1
/
FVC in
African Americans.
M. M. Parker, M. G. Foreman, R. A.
Mathias, T. H. Beaty, C. R. Gignoux, E. G. Burchard, J.
B. Hetmanski, E. K. Silverman, J. D. Crapo, COPDGene
Investigators.
1426
F The gamma method for gene set analysis of
RNA-seq data: Simulation results and application to a
smallpox vaccine study.
B. L. Fridley, G. D. Jenkins, D.
E. Grill, J. M. Biernacka, R. B. Kennedy, G. A. Poland, A.
L. Oberg.
1427
W Evaluation of SNP and indel imputation quality
using reference haplotypes from the 1000 Genomes
Project.
Q. Duan, E. Y. Liu, K. L. Mohlke, D. C. Croteau-
Chonka, Y. Li.
1428
T An efficient design to detect transplant donor
and recipient genetic interactions.
W. Guan, A. K. Israni.
1429
F Dissecting features of causal variants.
S.
Sengupta, X. Wen, G. Abecasis.
1430
W Genetic programming for detecting interactions
of SNPs with fuzzy genotypes in association studies.
T.
Stöcker, H. Schwender.
1431
T Rare variant analysis for family-based design.
W.
Yip, G. De, I. Ionita-Lazza, N. Laird.
1432
F BMI trajectory from early childhood associates
with leukocyte telomere length in Northern Finnish
women.
S. Das, J. L. Buxton, A. Rodriguez, A. Couto, M.
Kaakinen, S. Sebert, P. O’Reilly, L. Coin, A. I. F. Blakemore,
M.-R. Jarvelin.
1433
W A model for combining data on de novo
mutations with case-control data to identify risk
genes.
X. He, S. Sanders, L. Liu, M. State, B. Devlin, K.
Roeder.
1434
T Variable selection in high-dimensional meta-
1407
T Combining affected families, independent
cases, and controls to obtain a single, more powerful
test of association.
W. Stewart, J. Cerise.
1408
F Mixture modeling of rare variant association
within exome sequencing data.
B. A. Logsdon, J. Y.
Dai, P. L. Auer, S. K. Ganesh, N. L. Smith, J. G. Wilson,
T. A. Graubert, R. P. Tracy, L. A. Lange, H. Tang, S. Rich,
G. Lettre, C. S. Carlson, R. Jackson, C. O’Donnell, M.
M. Wurfel, D. A. Nickerson, C. Kooperberg, A. P. Reiner,
NHLBI Exome Sequencing Project, Exome Sequencing
Project Blood Counts Project Team.
1409
W Detecting association of rare variants by
testing an optimally weighted combination of
variants in family-based designs.
Q. Sha, S. Fang, S.
Zhang.
1410
T Haplotype-based methods for detecting
uncommon causal variants with common SNPs.
N. Liu,
W. Lin, N. Yi, D. Zhi, K. Zhang, G. Gao, H. Tiwari.
1411
F Multivariate adjusted sequence kernel
association test for rare variants controlling for cryptic
and family relatedness.
K. Oualkacha, R. Li, B. Richards,
A. Ciampi, C. Greenwood, UK10K Cohorts Goup.
1412
W Robust and powerful tests for rare variants
using Fisher’s method to combine evidence of
association from two or more complementary tests.
A.
Derkach, J. F. Lawless, L. Sun.
1413
T Leveraging family history in genome-wide
association studies.
A. Ghosh, S. Wacholder, P. Hartge,
M. Purdue, S. Chanock, N. Chatterjee.
1414
F Identifying environmental exposures for gene-
environment investigations using LASSO penalized
regression methods.
E. Mowry, X. Shao, F. B. S. Briggs,
B. Acuna, L. Shen, A. Bernstein, C. Schaefer, L. F.
Barcellos.
1415
W Application of targeted maximum likelihood
estimation using genome-wide association data
reveals new genetic predictors of disease severity in
multiple sclerosis.
X. Shao, M. van der Laan, F. Briggs,
P. De Jager, L. Barcellos, International Multiple Sclerosis
Genetics Consortium.
1416
T Case-sibling studies that acknowledge
unstudied parents and enroll unmatched individuals.
M. Shi, D. M. Umbach, C. R. Weinberg.
1417
F A variable-selection-based novel statistical
approach to identify susceptible rare variants
associated with complex diseases with deep
sequencing data.
H. Sun, S. Wang.
1418
W Causal-Seek: A strategy for finding causal
variants via trans-ethnic fine-mapping.
X. Wang, Y. Teo.
1419
T Novel insights into the genetics of Parkinson’s
disease on chromosome 17.
W. W. S. Lau.
1420
F Joint statistical modeling of multiple phenotypes