[Statseminars] [Fwd: Biostatistics Seminar - Wednesday 10/25/06]
REVISED
Amy Mulholland
amy.mulholland at yale.edu
Thu Oct 19 08:58:33 EDT 2006
>
>
>Good Afternoon,
>
>Please be advised that the seminar will be held in *LEPH 102 *on
>Wednesday, 10/25/06.
>*
>*Thanks,
>Laurie
>
>Laurie Mourao
>Sr. Administrative Assistant
>Yale University
>Department of Epidemiology and Public Health
>School of Medicine
>60 College Street LEPH 201
>P.O. Box 208034
>New Haven, CT 06520-8034
>Voice: (203) 785-2838
>Fax: (203) 785-6912
>laurie.mourao at yale.edu
>
>
>
>Date: Wed, 18 Oct 2006 15:24:48 -0400
>From: Laurie Mourao <Laurie.Mourao at yale.edu>
>Subject: Biostatistics Seminar - Wednesday 10/25/06
>To: Lloyd Mueller <lloyd.mueller at po.state.ct.us>,
> ephallfac-list <ephallfac-list at biomed.med.yale.edu>,
> "miguel.garcia" <miguel.garcia at yale.edu>,
> "john.holahan" <john.holahan at yale.edu>,
> "timothy.gregoire" <timothy.gregoire at yale.edu>,
> Prakash Nadkarni <prakash.nadkarni at yale.edu>,
> keita ebisu <keita.ebisu at yale.edu>, Herbert Pang <herbert.pang at yale.edu>,
> yan li <yan.li at yale.edu>, "andrew.barron" <andrew.barron at yale.edu>,
> "diana.fischer" <diana.fischer at yale.edu>,
> "john.hartigan" <john.hartigan at yale.edu>,
> "donald.andrews" <donald.andrews at yale.edu>,
> "peter.phillips" <peter.phillips at yale.edu>,
> "stephanie.doan" <stephanie.doan at yale.edu>,
> "bao-zhu.yang" <bao-zhu.yang at yale.edu>, "ran.wu" <ran.wu at yale.edu>,
> "Xingguang.Luo" <Xingguang.Luo at yale.edu>,
> Peter Natale Peduzzi <peter.peduzzi at yale.edu>,
> Paul Cislo <paul.cislo at yale.edu>,
> Marion Curtiss Wilson Henry <marion.henry at yale.edu>,
> Fu-Chi Hsieh <fu-chi.hsieh at yale.edu>,
> Kavita Davina Ketwaroo <kavita.ketwaroo at yale.edu>,
> Sanjay Kongot Unni <sanjay.unni at yale.edu>,
> Erica Rowena Fagnan <erica.fagnan at yale.edu>,
> "christian.connell" <christian.connell at yale.edu>,
> Anita Ravi <anita.ravi at yale.edu>, "michelle.bell" <michelle.bell at yale.edu>,
> Yih-Chuen Liang <yih-chuen.liang at yale.edu>, "daniel.ho"
> <daniel.ho at yale.edu>,
> Hannes Leeb <hannes.leeb at yale.edu>, mihaela.aslan at yale.edu,
> Michelle Mehri Haghpanah <michelle.haghpanah at aya.yale.edu>,
> "ephpostdoc-list at yale.edu" <ephpostdoc-list at biomed.med.yale.edu>,
> Changqin Wang <changqin.wang at yale.edu>,
> Amy Mulholland <amy.mulholland at yale.edu>,
> Mark B Gerstein <mark.gerstein at yale.edu>,
> "Ashley L. Buchanan" <ashleyb at student.umass.edu>,
> Dmitri Pavlov <dmitri.pavlov at pfizer.com>, Yin Liu <yin.liu at yale.edu>,
> Kun He <kun.he at yale.edu>, Stacey L Petruzella <stacey.petruzella at yale.edu>,
> "Joseph.Chang" <joseph.chang at yale.edu>,
> "david.pollard" <david.pollard at yale.edu>,
> "junhyong.kim" <junhyong.kim at yale.edu>, Yu Tian <yu.tian at yale.edu>,
> Perry Lowell Miller <perry.miller at yale.edu>, michael.krauthammer at yale.edu,
> Peter Vanness <peter.vanness at yale.edu>,
> "heather.allore" <heather.allore at yale.edu>,
> Huiping Zhang <huiping.zhang at yale.edu>, Xiang Chen
> <xc43 at email.med.yale.edu>,
> analisa lozano <al493 at email.med.yale.edu>, Eleanne.Solorzano at yale.edu,
> Brent Mchenry <brent.mchenry at bms.com>, Lei Liu <lliu at masal.med.yale.edu>,
> robb.j.muirhead at pfizer.com, schultz-martin at yale.edu,
> ht97 at email.med.yale.edu,
> yuhua.su at yale.edu, Valentine Njike <valentine.njike at yalegriffinprc.org>,
> pamela.hartigan at yale.edu, briggsgowan at psychiatry.uchc.edu,
> Julius Asubonteng <julius.asubonteng at yale.edu>, Gretchen.Esche at yale.edu,
> Ngocangh.Spruenker at yale.edu, Laura Kristin Estep <laura.estep at yale.edu>,
> Haibei.Liu at yale.edu, Christopher.McManus at yale.edu, Anne.Reiner at yale.edu,
> Yu Tian <yu.tian at yale.edu>, Estela Almanza <estela.almanza at yale.edu>,
> John Lee Baird <john.baird at yale.edu>, Xianying.Pan at yale.edu,
> Maria Ciarleglio <maria.ciarleglio at aya.yale.edu>,
> Zheyang Wu <zheyang.wu at yale.edu>, grace.mhango at yale.edu,
> aya.mitani at yale.edu,
> courtney.walls at yale.edu, Maya Hanna <maya.hanna at yale.edu>,
> Haibei.Liu at yale.edu, Shu-Xia Li <shu-xia.li at yale.edu>, ye.shen at yale.edu,
> lixun.zhang at yale.edu, Analisa Lozano <analisa.lozano at yale.edu>,
> Leslie.Hart at yale.edu, hong.zhang at yale.edu, xiangtao.liu at yale.edu,
> Judy Smith <judyr.smith at yale.edu>, kirsha.gordon at yale.edu,
> erika.martin at yale.edu, Brian Pittman <Brian.Pittman at yale.edu>,
> Bonnie Elyssa Gould Rothberg <bonnie.gouldrothberg at yale.edu>,
> Steven Kleinstein <steven.kleinstein at yale.edu>
>Cc: Marcie Foley <Marcie.Foley at yale.edu>,
> Charmila Fernandes <charmila.fernandes at yale.edu>,
> Donna Delbasso <Donna.Delbasso at yale.edu>
>Message-id: <45367F80.9080905 at yale.edu>
>MIME-version: 1.0
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> Gecko/20050915
>
>Good Afternoon:
>
>Please be advised that our regularly scheduled seminar on Tuesday has been
>moved next week to *Wednesday, October 25th*. Please see the details below
>and attached.
>
>Thank you,
>Laurie Mourao
>
>Laurie Mourao
>Sr. Administrative Assistant
>Yale University
>Department of Epidemiology and Public Health
>60 College Street
>P.O. Box 208034
>New Haven, CT 06520-8034
>voice: (203) 785-2838
>fax: (203) 785-6912
>
>
>Speaker: Nilanjan Chatterjee, Ph.D.
>
>Institution: National Cancer Institute, NIH, DHHS
>
>Time & Place: 4:15 PM at *LEPH 201*, 60 College Street
>
>Refreshments preceding at 4:00 PM
>
>Title: "Powerful multi-focus tests for genetic association in the presence
>of gene-gene and gene-environment interactions"
>
>Abstract:
>
>In modern genetic epidemiology studies, the association between the
>disease and a genomic region, such as a candidate gene, is often
>investigated using multiple SNPs. We propose a multi-locus test of genetic
>association that can account for genetic effects that might be modified by
>variants in other genes or by environmental factors. We consider use of
>the venerable and parsimonious Tukey's one degree-of-freedom model for
>interaction which is natural when individual SNPs within a gene are
>associated with disease through a common biologic mechanism; in contrast,
>many standard regression models are designed as if each SNP has unique
>functional significance. Based on Tukey's model, we propose a novel, but
>computationally simple, generalized test for association that can
>simultaneously capture both the main effects of the variants within a
>genomic region and their interactions with the variants in another region
>or with an environmental exposure. We compare performance of our method to
>two standard tests for association, one ignoring
>gene-gene/gene-environment interactions and the other based on a saturated
>model for interactions. We demonstrate major power advantages for our
>method in analysis of data from a case-control study for the association
>between colorectal adenoma and DNA variants in the NAT2 genomic region,
>which are well known to be related to a common biologic phenotype, and
>under different models for gene-gene interactions using simulated data.
>
>
>
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