Medicine and Health Sciences Commons^™

Resemblance Of Symptoms For Major Depression Assessed At Interview Versus From Hospital Record Review, Ying Chen, Haimin Li, Yihan Li, Dong Xie, Zhiyang Wang, Fuzhong Wang, Yuan Shen, Sulin Ni, Yan Wei, Yanhua Liu, Lanfen Liu, Chengge Gao, Jun Liu, Lijuan Yan, Gang Wang, Keqing Li, Qiang He, Tiehang Liu, Jinbei Zhang, Yan Ren, Qunli Du, Jing Tian, Honghui Chen, Yanfang Luo, Fengzhi Zhang, Guangwei Sun, Chunjie Shan, Xueyi Wang, Yutang Zhang, Xiaoqin Weng, Yunchun Chen, Zhen Kang, Jing Guan, Yiping Chen, Shenxun Shi, Kenneth S. Kendler, Jonathan Flint, Hong Deng

Psychiatry Publications

Background

Diagnostic information for psychiatric research often depends on both clinical interviews and medical records. Although discrepancies between these two sources are well known, there have been few studies into the degree and origins of inconsistencies.

Principal findings

We compared data from structured interviews and medical records on 1,970 Han Chinese women with recurrent DSM-IV major depression (MD). Correlations were high for age at onset of MD (0.93) and number of episodes (0.70), intermediate for family history (+0.62) and duration of longest episode (+0.43) and variable but generally more modest for individual depressive symptoms (mean kappa = 0.32). Four factors …

Comparison Of Statistical Tests For Association Between Rare Variants And Binary Traits, Silviu-Alin Bacanu, Matthew R. Nelson, John C. Whittaker

Psychiatry Publications

Genome-wide association studies have found thousands of common genetic variants associated with a wide variety of diseases and other complex traits. However, a large portion of the predicted genetic contribution to many traits remains unknown. One plausible explanation is that some of the missing variation is due to the effects of rare variants. Nonetheless, the statistical analysis of rare variants is challenging. A commonly used method is to contrast, within the same region (gene), the frequency of minor alleles at rare variants between cases and controls. However, this strategy is most useful under the assumption that the tested variants have …

Network-Assisted Investigation Of Combined Causal Signals From Genome-Wide Association Studies In Schizophrenia, Peilin Jia, Lily Wang, Ayman H. Fanous, Carlos N. Pato, Todd L. Edwards, Zhongming Zhao

Psychiatry Publications

With the recent success of genome-wide association studies (GWAS), a wealth of association data has been accomplished for more than 200 complex diseases/traits, proposing a strong demand for data integration and interpretation. A combinatory analysis of multiple GWAS datasets, or an integrative analysis of GWAS data and other high-throughput data, has been particularly promising. In this study, we proposed an integrative analysis framework of multiple GWAS datasets by overlaying association signals onto the protein-protein interaction network, and demonstrated it using schizophrenia datasets. Building on a dense module search algorithm, we first searched for significantly enriched subnetworks for schizophrenia in each …

The Interleukin 3 Gene (Il3) Contributes To Human Brain Volume Variation By Regulating Proliferation And Survival Of Neural Progenitors, Xiao-Jian Luo, Ming Li, Liang Huang, Khwangsik Nho, Min Deng, Qiang Chen, Daniel R. Weinberger, Alejandro A. Vasquez, Mark Rijpkema, Venkata S. Mattay, Andrew J. Saykin, Li Shen, Guillen Fernandez, Barbara Franke, Jing-Chun Chen, Xiang-Ning Chen, Jin-Kai Wang, Xiao Xiao, Xue-Bin Qi, Kun Xiang, Ying-Mei Peng, Xiang-Yu Cao, Yi Li, Xiao-Dong Shi, Lin Gan, Bing Su

Psychiatry Publications

One of the most significant evolutionary changes underlying the highly developed cognitive abilities of humans is the greatly enlarged brain volume. In addition to being far greater than in most other species, the volume of the human brain exhibits extensive variation and distinct sexual dimorphism in the general population. However, little is known about the genetic mechanisms underlying normal variation as well as the observed sex difference in human brain volume. Here we show that interleukin-3 (IL3) is strongly associated with brain volume variation in four genetically divergent populations. We identified a sequence polymorphism (rs31480) in the IL3 promoter which …

Variants Located Upstream Of Chrnb4 On Chromosome 15q25.1 Are Associated With Age At Onset Of Daily Smoking And Habitual Smoking, Manav Kapoor, Jen-Chyong Wang, Sarah Bertelsen, Kathy Bucholz, John P. Budde, Anthony Hinrichs, Arpana Agrawal, Andrew Brooks, David Chorlian, Danielle Dick, Victor Hesselbrock, Tatiana Foroud, John Kramer, Sammuel Kuperman, Niklas Manz, John Numberger Jr, Bernice Porjesz, John Rice, Jay Tischfield, Xiaoling Xuei, Marc Schuckit, Haward J. Edenberg, Laura J. Bierut, Alison M. Goate

Psychiatry Publications

Several genome-wide association and candidate gene studies have linked chromosome 15q24–q25.1 (a region including the CHRNA5-CHRNA3-CHRNB4 gene cluster) with alcohol dependence, nicotine dependence and smoking-related illnesses such as lung cancer and chronic obstructive pulmonary disease. To further examine the impact of these genes on the development of substance use disorders, we tested whether variants within and flanking theCHRNA5-CHRNA3-CHRNB4 gene cluster affect the transition to daily smoking (individuals who smoked cigarettes 4 or more days per week) in a cross sectional sample of adolescents and young adults from the COGA (Collaborative Study of the Genetics of Alcoholism) families. Subjects were …