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John Rice, PhD

Current Position
Professor of Mathematics in Psychiatry

Education and Training
PI of NIMH T32 Training Grant
CO-PI of NIDA R25 Training Grant


Areas of Research Interests
Current research interests in my lab include method development in genetic epidemiology and the collection and analysis of family and population data on bipolar disorder, major depression, schizophrenia and substance abuse. Methodologic work includes: (i) the development of new measures of linkage disequilibrium to define SNPs for association analysis; (ii) assessing the accuracy of imputation; and (iii) developing statistical methods to assess CNV (copy number variation) prediction. I continue to apply these new techniques to a number of currently existing data sets. My emphasis has been shifting from linkage analysis using several hundred repeat markers to association analysis using 1 million SNPs in GWAS (Genome-wide Association Studies). This new trend in the genetics of complex traits represents many challenges in data management and in analysis. My lab also maintains the phenotypic component of the genetic repository for NIMH, NIDA and NIAAA. Future emphasis will be the use of statistical genetics and bioinformatics for the meta-analysis of the genetic data available.


Key Publications
Lin P, Hartz SM, Zhang Z, Saccone SF, Wang J, Tischfield JA, Edenberg HJ, Kramer JR, M Goate A, Bierut LJ, Rice JP, COGA Collaborators COGEND Collaborators, GENEVA (2010 Mar 15). A new statistic to evaluate imputation reliability. PLoS One. 5(3): e9697.  Full Article ->

Rice John P.,Hartz Sarah,Agrawal Arpana,Almasy Laura,Bennett Siiri,Breslau Naomi,Bucholz Kathleen K.,Doheny Kimberly F.,Edenberg Howard J.,Goate Alison M.,Hesselbrock Victor,Howells William B.,Johnson Eric O.,Kramer John,Krueger Robert F.,Kuperman Samuel,Laurie Cathy,Manolio Teri A.,Neuman Rosalind J.,Nurnberger John I.,Porjesz Bernice,Pugh Elizabeth,Ramos Erin M.,Saccone Nancy,Saccone Scott,Schuckit Marc,Bierut Laura J.,;CHRNB3 is more strongly associated with FTCD-based nicotine dependence than cigarettes per day: phenotype definition changes GWAS results;November 2012;;  Full Article ->

Wang JC, Foroud T, Hinrichs AL, Le NX, Bertelsen S, Budde JP, Harari O, Koller DL, Wetherill L, Agrawal A, Almasy L, Brooks AI, Bucholz K, Dick D, Hesselbrock V, Johnson EO, Kang S, Kapoor M, Kramer J, Kuperman S, Madden PA, Manz N, Martin NG, McClintick JN, Montgomery GW, Nurnberger JI, Rangaswamy M, Rice J, Schuckit M, Tischfield JA, Whitfield JB, Xuei X, Porjesz B, Heath AC, Edenberg HJ, Bierut LJ, Goate AM, (2013 Nov). A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53. Mol. Psychiatry. 18(11): 1218-24.  Full Article ->

Perry John RB,Day Felix,Elks Cathy E,Sulem Patrick,Thompson Deborah J,Ferreira Teresa,He Chunyan,Chasman Daniel I,Esko Tõnu,Thorleifsson Gudmar,Albrecht Eva,Ang Wei Q,Corre Tanguy,Cousminer Diana L,Feenstra Bjarke,Franceschini Nora,Ganna Andrea,Johnson Andrew D,Kjellqvist Sanela,Lunetta Kathryn L,McMahon George,Nolte Ilja M,Paternoster Lavinia,Porcu Eleonora,Smith Albert V,Stolk Lisette,Teumer Alexander,Tšernikova Natalia,Tikkanen Emmi,Ulivi Sheila,Wagner Erin K,Amin Najaf,Bierut Laura J,Byrne Enda M,Hottenga Jouke-Jan,Koller Daniel L,Mangino Massimo,Pers Tune H,Yerges-Armstrong Laura M,Zhao Jing Hua,Andrulis Irene L,Anton-Culver Hoda,Atsma Femke,Bandinelli Stefania,Beckmann Matthias W,Benitez Javier,Blomqvist Carl,Bojesen Stig E,Bolla Manjeet K,Bonanni Bernardo,Brauch Hiltrud,Brenner Hermann,Buring Julie E,Chang-Claude Jenny,Chanock Stephen,Chen Jinhui,Chenevix-Trench Georgia,Collée J. Margriet,Couch Fergus J,Couper David,Coveillo Andrea D,Cox Angela,Czene Kamila,D’adamo Adamo Pio,Smith George Davey,De Vivo Immaculata,Demerath Ellen W,Dennis Joe,Devilee Peter,Dieffenbach Aida K,Dunning Alison M,Eiriksdottir Gudny,Eriksson Johan G,Fasching Peter A,Ferrucci Luigi,Flesch-Janys Dieter,Flyger Henrik,Foroud Tatiana,Franke Lude,Garcia Melissa E,García-Closas Montserrat,Geller Frank,de Geus Eco EJ,Giles Graham G,Gudbjartsson Daniel F,Gudnason Vilmundur,Guénel Pascal,Guo Suiqun,Hall Per,Hamann Ute,Haring Robin,Hartman Catharina A,Heath Andrew C,Hofman Albert,Hooning Maartje J,Hopper John L,Hu Frank B,Hunter David J,Karasik David,Kiel Douglas P,Knight Julia A,Kosma Veli-Matti,Kutalik Zoltan,Lai Sandra,Lambrechts Diether,Lindblom Annika,Mägi Reedik,Magnusson Patrik K,Mannermaa Arto,Martin Nicholas G,Masson Gisli,McArdle Patrick F,McArdle Wendy L,Melbye Mads,Michailidou Kyriaki,Mihailov Evelin,Milani Lili,Milne Roger L,Nevanlinna Heli,Neven Patrick,Nohr Ellen A,Oldehinkel Albertine J,Oostra Ben A,Palotie Aarno,Peacock Munro,Pedersen Nancy L,Peterlongo Paolo,Peto Julian,Pharoah Paul DP,Postma Dirkje S,Pouta Anneli,Pylkäs Katri,Radice Paolo,Ring Susan,Rivadeneira Fernando,Robino Antonietta,Rose Lynda M,Rudolph Anja,Salomaa Veikko,Sanna Serena,Schlessinger David,Schmidt Marjanka K,Southey Mellissa C,Sovio Ulla,Stampfer Meir J,Stöckl Doris,Storniolo Anna M,Timpson Nicholas J,Tyrer Jonathan,Visser Jenny A,Vollenweider Peter,Völzke Henry,Waeber Gerard,Waldenberger Melanie,Wallaschofski Henri,Wang Qin,Willemsen Gonneke,Winqvist Robert,Wolffenbuttel Bruce HR,Wright Margaret J,Boomsma Dorret I,Econs Michael J,Khaw Kay-Tee,Loos Ruth JF,McCarthy Mark I,Montgomery Grant W,Rice John P,Streeten Elizabeth A,Thorsteinsdottir Unnur,van Duijn Cornelia M,Alizadeh Behrooz Z,Bergmann Sven,Boerwinkle Eric,Boyd Heather A,Crisponi Laura,Gasparini Paolo,Gieger Christian,Harris Tamara B,Ingelsson Erik,Järvelin Marjo-Riitta,Kraft Peter,Lawlor Debbie,Metspalu Andres,Pennell Craig E,Ridker Paul M,Snieder Harold,Sørensen Thorkild IA,Spector Tim D,Strachan David P,Uitterlinden André G,Wareham Nicholas J,Widen Elisabeth,Zygmunt Marek,Murray Anna,Easton Douglas F,Stefansson Kari,Murabito Joanne M,Ong Ken K,;Parent-of-origin specific allelic associations among 106 genomic loci for age at menarche;;  Full Article ->

Hung Chi-Fa,Breen Gerome,Czamara Darina,Corre Tanguy,Wolf Christiane,Kloiber Stefan,Bergmann Sven,Craddock Nick,Gill Michael,Holsboer Florian,Jones Lisa,Jones Ian,Korszun Ania,Kutalik Zoltan,Lucae Susanne,Maier Wolfgang,Mors Ole,Owen Michael J,Rice John,Rietschel Marcella,Uher Rudolf,Vollenweider Peter,Waeber Gerard,Craig Ian W,Farmer Anne E,Lewis Cathryn M,Müller-Myhsok Bertram,Preisig Martin,McGuffin Peter,Rivera Margarita,;A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder;;  Full Article ->

Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, Benke KS, Bielak LF, Boatman JA, Boyle PA, Davies G, de Leeuw C, Eklund N, Evans DS, Ferhmann R, Fischer K, Gieger C, Gjessing HK, Hägg S, Harris JR, Hayward C, Holzapfel C, Ibrahim-Verbaas CA, Ingelsson E, Jacobsson B, Joshi PK, Jugessur A, Kaakinen M, Kanoni S, Karjalainen J, Kolcic I, Kristiansson K, Kutalik Z, Lahti J, Lee SH, Lin P, Lind PA, Liu Y, Lohman K, Loitfelder M, McMahon G, Vidal PM, Meirelles O, Milani L, Myhre R, Nuotio ML, Oldmeadow CJ, Petrovic KE, Peyrot WJ, Polasek O, Quaye L, Reinmaa E, Rice JP, Rizzi TS, Schmidt H, Schmidt R, Smith AV, Smith JA, Tanaka T, Terracciano A, van der Loos MJ, Vitart V, Völzke H, Wellmann J, Yu L, Zhao W, Allik J, Attia JR, Bandinelli S, Bastardot F, Beauchamp J, Bennett DA, Berger K, Bierut LJ, Boomsma DI, Bültmann U, Campbell H, Chabris CF, Cherkas L, Chung MK, Cucca F, de Andrade M, De Jager PL, De Neve JE, Deary IJ, Dedoussis GV, Deloukas P, Dimitriou M, Eiríksdóttir G, Elderson MF, Eriksson JG, Evans DM, Faul JD, Ferrucci L, Garcia ME, Grönberg H, Guðnason V, Hall P, Harris JM, Harris TB, Hastie ND, Heath AC, Hernandez DG, Hoffmann W, Hofman A, Holle R, Holliday EG, Hottenga JJ, Iacono WG, Illig T, Järvelin MR, Kähönen M, Kaprio J, Kirkpatrick RM, Kowgier M, Latvala A, Launer LJ, Lawlor DA, Lehtimäki T, Li J, Lichtenstein P, Lichtner P, Liewald DC, Madden PA, Magnusson PK, Mäkinen TE, Masala M, McGue M, Metspalu A, Mielck A, Miller MB, Montgomery GW, Mukherjee S, Nyholt DR, Oostra BA, Palmer LJ, Palotie A, Penninx BW, Perola M, Peyser PA, Preisig M, Räikkönen K, Raitakari OT, Realo A, Ring SM, Ripatti S, Rivadeneira F, Rudan I, Rustichini A, Salomaa V, Sarin AP, Schlessinger D, Scott RJ, Snieder H, St Pourcain B, Starr JM, Sul JH, Surakka I, Svento R, Teumer A, LifeLines Cohort Study, Tiemeier H, van Rooij FJ, Van Wagoner DR, Vartiainen E, Viikari J, Vollenweider P, Vonk JM, Waeber G, Weir DR, Wichmann HE, Widen E, Willemsen G, Wilson JF, Wright AF, Conley D, Davey-Smith G, Franke L, Groenen PJ, Hofman A, Johannesson M, Kardia SL, Krueger RF, Laibson D, Martin NG, Meyer MN, Posthuma D, Thurik AR, Timpson NJ, Uitterlinden AG, van Duijn CM, Visscher PM, Benjamin DJ, Cesarini D, Koellinger PD (2013 Jun 21). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 340(6139): 1467-71.  Full Article ->


Funded Research Projects
NIMH (PI): Research Training in Clinical Sciences

NIDA (Key Personnel): The Genetics of Vulnerability to Nicotine Addictions

NIMH (Key Personnel): NIMH Center for Collaborative Genetic Studies

NIDA (Key Personnel): Case Control Candidate Gene Study of Addiction

NCI (Key Personnel): The Collaborative Genetic Study of Nicotine Dependence

NIDA (Key Personnel): NIDA Center for Genetic Studies

NIAAA (Key Personnel): Collaborative Study on the Genetics of Alcoholism (COGA)

NIDA (Key Personnel): Research Education Program in Aspects of Statistical Genetics and Addiction