(ISG authors in bold type)
Liu Z, Leung D, Thrush K, Zhao W, Ratliff S, Tanaka T, Schmitz LL, Smith JA, Ferrucci L, Levine ME. “Underlying features of epigenetic aging clocks in vivo and in vitro.” Aging Cell. 2020 Sep.
Greenberg J, Hilton EC, Li JJ, Lu Q, Mailick MR. “The impact of parenting a child with serious mental illness: Accounting for the parent’s genetic vulnerability to mental illness.” Journal of Family Psychology. 2020 Jul.
Harvey PD, Sun N, Lu Q, et al. “Genome‐wide association study of cognitive performance in US veterans with schizophrenia or bipolar disorder.” American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 2020 Apr; 183(3): 181-194.
Domingue B, Fletcher JM. “Separating Measured Genetic and Environmental Effects: Evidence Linking Parental Genotype and Adopted Child Outcomes.” Behavior Genetics. 2020 Apr; 50: 301-309.
Hatchell KE, Lu Q, Mares JA, Michos ED, Wood AC, Engelman CD. “Multi‐ethnic analysis shows genetic risk and environmental predictors interact to influence 25 (OH) D concentration and optimal vitamin D intake.” Genetic Epidemiology. 2020 Mar; 44(2): 208-217.
Li JJ, Hilton EC, Lu Q, Hong J, Greenberg JS, Mailick MR. “Validating psychosocial pathways of risk between neuroticism and late life depression using a polygenic score approach.” Journal of Abnormal Psychology. 2019. 128(3): 200–211.
Li, JJ. “The positive end of the polygenic score distribution for ADHD: a low risk or a protective factor?” Psychological Medicine. 2019 Oct; 1-10.
Darst BF, Lu Q, Johnson SC, Engelman CD. “Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer’s risk factors among 1,111 cohort participants.” Genetic Epidemiology. 2019 Sep; 43(6): 657-674.
Gelernter J, Sun N, Polimanti R, Pietrzak, Lu Q, et al. “Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci.” Biological Psychiatry. 2019 Sep; 86(5), 365-376.
Hatchell KE, Lu Q, Hebbring SJ, Engelman CD, et al. “Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations.” Human Genetics. 2019 Jul; 138: 1155-1169.
Gelernter J, Sun N, Polimanti R, Pietrzak, Lu Q, et al. “Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in> 165,000 US veterans.” Nature Neuroscience. 2019 Jul; 22(9): 1394-1401.
Lu Q, Zhao H. “Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome.” In: Balding D, Moltke I, Marioni J, eds. Handbook of Statistical Genomics. 4th ed. 2019 Jul; 679-30.
Schmitz LL, Gard AM, Ware EB. “Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene‐region aggregation techniques.” American Journal of Medical Genetics. 2019 Jun; 180(6): 448-468.
Li B, Lu Q, Zhao H. “An evaluation of noncoding genome annotation tools through enrichment analysis of 15 genome-wide association studies.” Briefings in Bioinformatics. 2019 May; 20(3): 995-1003.
Li JJ. “Assessing phenotypic and polygenic models of ADHD to identify mechanisms of risk for longitudinal trajectories of externalizing behaviors.” Journal of Child Psychology and Psychiatry. 2019 May. 60 (11): 1191-1199.
Hu B, Shen N, Li JJ, Kang H, Hong J, Fletcher JM, Greenberg JS, Mailick MR, Lu Q. “Genome-wide association study reveals sex-specific genetic architecture of facial attractiveness.” PLOS Genetics. 2019 Apr; 15(4): e1007973.
Darst BF, Koscik RL, Hogan KJ, Johnson SC, Engelman CD. “Longitudinal plasma metabolomics of aging and sex” Aging. 2019 Feb; 11(4): 1262-1282.
Koscik RL, Norton DL, Allison SL, Engelman CD, et al. “Characterizing the Effects of Sex, APOE ɛ4, and Literacy on Mid-life Cognitive Trajectories: Application of Information-Theoretic Model Averaging and Multi-model Inference Techniques to the Wisconsin Registry for Alzheimer’s Prevention Study.” Journal of the International Neuropsychological Society. 2019 Feb; 25(2): 119-133.
Hu Y, Li M, Lu Q, et al. “A statistical framework for cross-tissue transcriptome-wide association analysis.” Nature Genetics. 2019 Feb; 51(3): 568-576.
Trejo S. “Exploring Genetic Influences on Birth Weight.” 2020 Aug.
Kweon H, Burik C, Linnér RK, de Vlaming R, Okbay A, Martschenko D, Harden KP, DiPrete TA, Koellinger PD. “Genetic Fortune: Winning or Losing Education, Income, and Health.” 2020 Aug.
Fletcher JM, Wu Y, Zhao Z, Lu Q. “The production of within-family inequality: Insights and implications of integrating genetic data.” 2020 Jun.
Domingue B, Trejo S, Armstrong-Carter E, Tucker-Drob EM. “Interactions between polygenic scores and environments: Methodological and conceptual challenges.” 2020 May.
Zhang Y, Lu Q, Ye Y, Huang K, Liu W, Wu Y, Zhong X, Li B, Yu Z, Travers BG, Werling DM, Li JJ, Zhao H. “Local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits.” 2020 May.
Li JJ, Zhang Q, Lu Q. “RDoC Mechanisms of Transdiagnostic Polygenic Risk for Trajectories of Depression: From Early Adolescence to Adulthood.” 2020 Apr.
Dumitrescu L, Mahoney ER, Mukherjee S, Lee ML, Bush WS, Engelman CD, Lu Q, et al. “Genetic Variants and Functional Pathways Associated with Resilience to Alzheimer’s Disease.” 2020 Feb.
Moore AM, Filshtein TJ, Dumitrescu L, Harrati A, Lu Q, et al. “A/T/N polygenic risk score for cognitive decline in old age.” 2019 Nov.
Huang K, Wu Y, Shin J, Zheng Ye, Lu Q, et al. “Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder.” 2019 Nov.
Zhao Z, Yi Y, Wu Y, Zhong X, Lin Y, Hohman TJ, Fletcher JM, Lu Q. “Fine-tuning Polygenic Risk Scores with GWAS Summary Statistics.” 2019 Nov.
Fletcher JM. “Decoupling Genetics from Attainments: The Role of Social Environments.” 2019 Oct.
Guo H, Li JJ, Lu Q, Hou L. “Detecting Local Genetic Correlations with Scan Statistics.” 2019 Oct.
Gard AM, Ware EB, Hyde LW, Schmitz LL, Faul J, Mitchell C. “Assessing the Structure and Specificity of Polygenic Scores for Psychiatric Disorders in a Population-based Cohort of Older Adults.” 2019 Apr.