J
James J. Lee
Researcher at University of Minnesota
Publications - 86
Citations - 21706
James J. Lee is an academic researcher from University of Minnesota. The author has contributed to research in topics: Genome-wide association study & Behavioural genetics. The author has an hindex of 38, co-authored 86 publications receiving 17084 citations. Previous affiliations of James J. Lee include Georgetown University & Harvard University.
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay,Bart M. L. Baselmans,J.E. deNeve,Patrick Turley,Michel G. Nivard,Fontana,S.F.W. Meddens,R. Karlsson Linner,Cornelius A. Rietveld,Jaime Derringer,Jacob Gratten,James J. Lee,Jimmy Z. Liu,R. deVlaming,T. SAhluwalia,Jadwiga Buchwald,Alana Cavadino,Alexis C. Frazier-Wood,N.A. Furlotte,Victoria Garfield,Marie Henrike Geisel,Juan R. González,Saskia Haitjema,Robert Karlsson,S.W. Der Laan,Karl-Heinz Ladwig,Jari Lahti,S.J. van deLee,Penelope A. Lind,Tian Liu,Lindsay K. Matteson,E. Mihailov,Michael B. Miller,C. CMinica,I. MNolte,Dennis O. Mook-Kanamori,P.J. van deMost,Christopher Oldmeadow,Yong Qian,Olli T. Raitakari,Rajesh Rawal,Anu Realo,Rico Rueedi,Börge Schmidt,Albert V. Smith,Evie Stergiakouli,Toshiko Tanaka,Kent D. Taylor,Juho Wedenoja,Jürgen Wellmann,Harm-Jan Westra,S. MWillems,Wei Zhao +52 more
TL;DR: In this paper, the authors conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms and neuroticism, and identified 3 variants associated with subjective wellbeing, 2 variants associated in depressive symptoms, and 11 variants associated neuroticism including 2 inversion polymorphisms.
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An overview of the Normal Ogive Harmonic Analysis Robust Method (NOHARM) approach to item response theory
James J. Lee,M. K. Lee +1 more
TL;DR: The Normal Ogive Harmonic Analysis Robust Method (NOHARM) as mentioned in this paper is a well-known IRT estimation method that uses the residual covariance matrix and rescaling the distribution of the common factor.
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Highlights from: American Society of Clinical Oncology Gastrointestinal Cancers Symposium; Orlando, Florida; January 19–21, 2007
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Highlights from the 43rd Annual Meeting of the American Society of Clinical Oncology; Chicago, IL; June 1–5, 2007
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The causal meaning of Fisher's average effect
James J. Lee,Carson C. Chow +1 more
TL;DR: In this article, the authors argue that Fisher intended his two averages to express a distinction between correlation and causation, and they show that the statistical and causal conceptions of the average effect, perceived as inconsistent by Falconer, can be reconciled if certain relationships between the genotype frequencies and non-additive residuals are conserved.