Laura Scott, Ph.D.

Laura Scott

Research Associate Professor

M4134 SPH II      Vcard icon
1415 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 763-0006; Fax: (734) 763-2215

E-mail: ljst@umich.edu

Website(s): Center for Statistical Genetics; Goggle Scholar

Professional Summary

Laura Scott is an Associate Research Professor in the Department of Biostatistics. She received her Ph.D. in Cell Biology from Johns Hopkins School of Medicine in 1993 and an M.P.H. in Epidemiology from the University of Michigan School of Public Health in 1995. Following training in the epidemiology of breast cancer and hypertension at Michigan State University and in the epidemiology and genetic epidemiology of complications of type 1 diabetes at the Joslin Diabetes Center, she moved to the University of Michigan in 2000 to work in statistical genetics. She joined the Department of Biostatistics faculty in 2003. Dr. Scott's research focuses on identifying genetic variants that increase the risk of type II diabetes as part of the FUSION study (Finland United States Investigation of NIDDM Genetics) and that increase the risk of bipolar disorder as part of the Pritzker Consortium. She also develops methods for analysis of experimental data.

Courses Taught

BIOSTAT646: High Throughput Molecular Genetic and Epigenetic Data Analysis    Syllabus (PDF)
PUBHLTH610: Introduction to Public Health

Education

M.P.H., Epidemiology, University of Michigan, School of Public Health, 1995
Ph.D., Biochemistry, Cell and Molecular Biology, Johns Hopkins School of Medicine, 1993
B.A., Chemistry with concentration in French, Albion College, 1985

Research Interests & Projects

Identification of genetic variants for type II diabetes and bipolar disease: My primary research interest is the identification of genetic variants that increase the risks of common diseases. For type II diabetes, as part of the Finland-United States Investigation of NIDDM genetics (FUSION) study, and for bipolar disease, as part of the BRIDGES group, I am involved in genome-wide association and squencing studies to identify common and rare risk variants. Analysis of the SNP variants in the context of their biological function(s) will provide information on the spectrum of disease causing variants for common diseases. I also develop methods for analysis of allele specific expression/binding and for analysis of CHIP-Seq data.

Selected Publications

Search PubMed for publications by Laura Scott >>

Xiao R, Scott LJ (2011). Detection of cis-acting regulatory SNPs using allelic expression data Genetic Epidemiology, 35, 515-525.

Sklar P, Ripke S, Scott LJ, Andreassen OA, Cichon S, Craddock N, Edenberg HJ, Nurnberger JI Jr, Rietschel M, Blackwood D, Corvin A, Flickinger M, Guan W, Mattingsdal M, McQuillin A, Kwan P, Wienker TF, Daly M, Dudbridge F, Holmans PA, Lin D, Burmeister M, Greenwood TA, Hamshere ML, Muglia P, Smith EN, Zandi PP, Nievergelt CM, McKinney R, Shilling PD, Schork NJ, Bloss CS, Foroud T, Koller DL, Gershon ES, Liu C, Badner JA, Scheftner WA, Lawson WB, Nwulia EA, Hipolito M, Coryell W, Rice J, Byerley W, McMahon FJ, Schulze TG, Berrettini W, Lohoff FW, Potash JB, Mahon PB, McInnis MG, Zöllner S, Zhang P, Craig DW, Szelinger S, Barrett TB, Breuer R, Meier S, Strohmaier J, Witt SH, Tozzi F, Farmer A, McGuffin P, Strauss J, Xu W, Kennedy JL, Vincent JB, Matthews K, Day R, Ferreira MA, O'Dushlaine C, Perlis R, Raychaudhuri S, Ruderfer D, Hyoun PL, Smoller JW, Li J, Absher D, Thompson RC, Meng FG, Schatzberg AF, Bunney WE, Barchas JD, Jones EG, Watson SJ, Myers RM, Akil H, Boehnke M, Chambert K, Moran J, Scolnick E, Djurovic S, Melle I, Morken G, Gill M, Morris D, Quinn E, Mühleisen TW, Degenhardt FA, Mattheisen M, Schumacher J, Maier W, Steffens M, Propping P, Nöthen MM, Anjorin A, Bass N, Gurling H, Kandaswamy R, Lawrence J, McGhee K, McIntosh A, McLean AW, Muir WJ, Pickard BS, Breen G, St Clair D, Caesar S, Gordon-Smith K, Jones L, Fraser C, Green EK, Grozeva D, Jones IR, Kirov G, Moskvina V, Nikolov I, O'Donovan MC, Owen MJ, Collier DA, Elkin A, Williamson R, Young AH, Ferrier IN, Stefansson K, Stefansson H, Thornorgeirsson T, Steinberg S, Gustafsson O, Bergen SE, Nimgaonkar V, Hultman C, Landén M, Lichtenstein P, Sullivan P, Schalling M, Osby U, Backlund L, Frisén L, Langstrom N, Jamain S, Leboyer M, Etain B, Bellivier F, Petursson H, Sigur Sson E, Müller-Mysok B, Lucae S, Schwarz M, Schofield PR, Martin N, Montgomery GW, Lathrop M, Oskarsson H, Bauer M, Wright A, Mitchell PB, Hautzinger M, Reif A, Kelsoe JR, Purcell SM; Psychiatric GWAS Consortium Bipolar Disorder Working Group. (2011). Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 Nature Genet, 43, 977-083.

McDaniell R, Lee BK, Song L, Liu Z, Boyle AP, Erdos MR, Scott LJ, Morken MA, Kucera KS, Battenhouse A, Keefe D, Collins FS, Willard HF, Lieb JD, Furey TS, Crawford GE, Iyer VR, Birney E (2010). Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans. Science, 328, 235-239.

Scott LJ, Muglia P, Kong XQ, Guan W, Flickinger M, Upmanyu R, Tozzi F, Li JZ, Burmeister M, Absher D, Thompson RC, Francks C, Meng F, Antoniades A, Southwick AM, Schatzberg AF, Bunney WE, Barchas JD, Jones EG, Day R, Matthews K, McGuffin P, Strauss JS, Kennedy JL, Middleton L, Roses AD, Watson SJ, Vincent JB, Myers RM, Farmer AE, Akil H, Burns DK, Boehnke M (2009). Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry Proc Natl Acad Sci, 106, 7501-7506.

Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, &, Abecasis GR, Boehm BO, Campbell H, Daly JM, Hattersley AT, Hu BF, Meigs JB, Pankow JS, Pedersen O, Wichmann H-E, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Altshuler C, Boehnke M, McCarthy MI (2010). Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nature Genet, 42, 579-589.

Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, de Bakker PI, Abecasis GR, Almgren P, Andersen G, Ardlie K, Boström KB, Bergman RN, Bonnycastle LL, Borch-Johnsen K, Burtt NP, Chen H, Chines PS, Daly MJ, Deodhar P, Ding CJ, Doney AS, Duren WL, Elliott KS, Erdos MR, Frayling TM, Freathy RM, Gianniny L, Grallert H, Grarup N, Groves CJ, Guiducci C, Hansen T, Herder C, Hitman GA, Hughes TE, Isomaa B, Jackson AU, Jørgensen T, Kong A, Kubalanza K, Kuruvilla FG, Kuusisto J, Langenberg C, Lango H, Lauritzen T, Li Y, Lindgren CM, Lyssenko V, Marvelle AF, Meisinger C, Midthjell K, Mohlke KL, Morken MA, Morris AD, Narisu N, Nilsson P, Owen KR, Palmer CN, Payne F, Perry JR, Pettersen E, Platou C, Prokopenko I, Qi L, Qin L, Rayner NW, Rees M, Roix JJ, Sandbaek A, Shields B, Sjögren M, Steinthorsdottir V, Stringham HM, Swift AJ, Thorleifsson G, Thorsteinsdottir U, Timpson NJ, Tuomi T, Tuomilehto J, Walker M, Watanabe RM, Weedon MN, Willer CJ; Wellcome Trust Case Control Consortium, Illig T, Hveem K, Hu FB, Laakso M, Stefansson K, Pedersen O, Wareham NJ, Barroso I, Hattersley AT, Collins FS, Groop L, McCarthy MI, Boehnke M, Altshuler D (2008). Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes Nature Genet, 40, 638-645.

Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren WL, Erdos MR, Stringham HM, Chines PS, Jackson AU, Prokunina-Olsson L, Ding CJ, Swift AJ, Narisu N, Hu T, Pruim R, Xiao R, Li XY, Conneely KN, Riebow NL, Sprau AG, Tong M, White PP, Hetrick KN, Barnhart MW, Bark CW, Goldstein JL, Watkins L, Xiang F, Saramies J, Buchanan TA, Watanabe RM, Valle TT, Kinnunen L, Abecasis GR, Pugh EW, Doheny KF, Bergman RN, Tuomilehto J, Collins FS, Boehnke M (2007). A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science, 316, 1341-1345.

Saunders E, Scott LJ, McInnis MG, Burmeister M (2007). Familiality and diagnostic patterns of subphenotypes in the National Institutes of Mental Health bipolar sample. Am J Med Genet B Neuropsychiatr Genet, 147B, 18-26.

Skol AD, Scott LJ, Abecasis GR, Boehnke M (2006). Joint analysis is more efficient for whole genome association studies. Nature Genet, 38, 209-213.

Li C, Scott LJ, and Boehnke M (2004). Assessing whether an associated allele can account in part for a linkage signal: the genotype-IBD sharing test (GIST). Am J Human Genet, 74, 418-431.

Professional Affiliations

American Society of Human Genetics