Page 95 - ASHG 2013 Program Guide

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INVITED AND PLATFORM SESSIONS
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Wednesday, October 23
2:00
PM
–4:15
PM
Concurrent Platform (abstract-­driven)
Session A (10-18)
(
SESSION 11, ­continued)
22
/3:30
Comparison of results between karyotyping
and microarray testing in postnatal and prenatal
specimens: Karyotyping is not dead yet.
D. Warburton, V. Jobanputra, V. Aggarwal, A. Sobrino,
M. Macera, O. Nahum, B. Levy.
23
/3:45
Parental studies of 2,248 chromosomal
microarray analysis cases: Role of parental studies
in facilitating the interpretation of copy number
variants.
W. Bi, J. Pham, J. Denham, E. Roney, A. N.
Pursley, P. Stankiewicz, A. Breman, S. Lalani, J. Smith,
C. Bacino, A. Patel, S. W. Cheung.
24
/4:00
Rapid and cost-effective whole exome
sequencing for clinical diagnosis and personalized
medicine.
D. Muzny, M. Wang, C. Buhay, Y. Han, H.
Dinh, C. Kovar, H. Doddapanei, M. Bainbridge, J. Reid,
E. Boerwinkle, R. Gibbs.
Wednesday, October 23
2:00
PM
–4:15
PM
Concurrent Platform (abstract-driven)
Session A (10-18)
SESSION 12 – Methods in Statistical Genetics
Grand Ballroom West, Level 3, Convention Center
Moderators
:
L. Adrienne Cupples, Boston Univ. Sch of
Publ. Hlth; Ingrid B. Borecki, Washington Univ. Sch.
of Med.
25
/2:00
Prioritizing sequence variants using
statistical evidence: Not all measures are alike.
W. Li, L. Strug, D. Pal.
26
/2:15
Mixed model association methods:
Advantages and pitfalls.
A. Price, J. Yang, N. A.
Zaitlen, M. E. Goddard, P. M. Visscher.
27
/2:30
Assessing multivariate gene-metabolome
associations using Bayesian reduced rank
regression.
P. Marttinen, M. Pirinen, A.-P. Sarin, J.
Gillberg, J. Kettunen, I. Surakka, A. J. Kangas, P.
Soininen, T. Lehtimäki, M. Ala-Korpela, O. T. Raitakari,
M.-R. Järvelin, S. Ripatti, S. Kaski.
28
/2:45
Characterizing shared pathogenetics from
genome-wide association studies via principal
component analysis.
A. Keinan, D. Chang.
29
/3:00
Power studies for the “extreme versus
control” design for exome sequencing studies and
identification of a variant of TMC6 as a deleterious
modifier for age of onset of chronic
Pseudomonas
infection in children with cystic fibrosis.
M. J.
Emond, T. Louie, J. Emerson, R. A. Mathias, M.
R. Knowles, D. A. Nickerson, H. K. Tabor, K. C.
Barnes, R. L. Gibson, M. J. Bamshad, NHLBI Exome
Sequencing Project, Lung GO.
30
/3:15
A novel statistical framework for using ‘out
of study’ control groups in association studies
with next-generation data.
A. Derkach, T. Chiang,
L. Addis, S. Dobbins, I. Tomlinson, R. Houlston, D. K.
Pal, J. Gong, L. J. Strug.
31
/3:30
Using coalescent-based modeling for
large-scale fine mapping of complex trait loci
using sequencing data in large-scale case-control
studies.
Z. Geng, P. Scheet, S. Zöllner.
32
/3:45
Quantifying and partitioning variation due
to genetic effects and population stratification
using within-family prediction analysis.
J. Yang.
33
/4:00
Meta-imputation: A simple and flexible
method to combine multiple reference panels
for imputing genetic variants.
P. K. Albers, G. R.
Abecasis, M. I. McCarthy, K. J. Gaulton.