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151. A New Method to Extract Impedance between Input and Output Cables in Radiated Frequency Band of Power Converter

Author: Jianxin Shi and Qingbin Chen
Published: 2022

152. fast.adonis: a computationally efficient non-parametric multivariate analysis of microbiome data for large-scale studies

Author: Shilan Li, Emily Vogtmann, Barry I Graubard, Mitchell H Gail, Christian C Abnet, and Jianxin Shi
Subjects: Application Note, General Medicine
Abstract: Motivation Nonparametric multivariate analysis has been widely used to identify variables associated with a dissimilarity matrix and to quantify their contribution. For very large studies (n≥5000) and many explanatory variables, existing software packages (e.g. adonis and adonis2 in vegan) are computationally intensive when conducting sequential multivariate analysis with permutations or bootstrapping. Moreover, for subjects from a complex sampling design, we need to adjust for sampling weights to derive an unbiased estimate. Results We implemented an R function fast.adonis to overcome these computational challenges in large-scale studies. fast.adonis generates results consistent with adonis/adonis2 but much faster. For complex sampling studies, fast.adonis integrates sampling weights algebraically to mimic the source population; thus, analysis can be completed very fast without requiring a large amount of memory. Availability and implementation fast.adonis is implemented using R and is publicly available at https://github.com/jennylsl/fast.adonis. Supplementary information Supplementary data are available at Bioinformatics Advances online.
Published: 2022

153. CRISPR/Cas systems: opportunities and challenges for crop breeding

Author: Dabing Zhang, Jianxin Shi, and Sukumar Biswas
Subjects: Crops, Agricultural, 0106 biological sciences, 0301 basic medicine, Population, Plant Science, Haploidy, Biology, 01 natural sciences, Crop, 03 medical and health sciences, Synthetic biology, Genome editing, Hybrid Vigor, Screening method, CRISPR, education, Domestication, Gene Editing, education.field_of_study, business.industry, General Medicine, Plants, Genetically Modified, Biotechnology, Genetically modified organism, Plant Breeding, 030104 developmental biology, Mutation, Synthetic Biology, CRISPR-Cas Systems, business, Agronomy and Crop Science, Genome, Plant, 010606 plant biology & botany
Abstract: Increasing crop production to meet the demands of a growing population depends largely on crop improvement through new plant-breeding techniques (NPBT) such as genome editing. CRISPR/Cas systems are NPBTs that enable efficient target-specific gene editing in crops, which is supposed to accelerate crop breeding in a way that is different from genetically modified (GM) technology. Herein, we review the applications of CRISPR/Cas systems in crop breeding focusing on crop domestication, heterosis, haploid induction, and synthetic biology, and summarize the screening methods of CRISPR/Cas-induced mutations in crops. We highlight the importance of molecular characterization of CRISPR/Cas-edited crops, and pay special attentions to emerging highly specific genome-editing tools such as base editors and prime editors. We also discuss future improvements of CRISPR/Cas systems for crop improvement.
Published: 2021

154. Modeling Longitudinal Microbiome Compositional Data: A Two-Part Linear Mixed Model with Shared Random Effects

Author: Danping Liu, Courtney Baker, Jianxin Shi, Emily Vogtmann, Yongli Han, and Xing Hua
Subjects: 0301 basic medicine, Statistics and Probability, Mixed model, Random effects model, 01 natural sciences, Biochemistry, Genetics and Molecular Biology (miscellaneous), Constraint (information theory), 010104 statistics & probability, 03 medical and health sciences, 030104 developmental biology, Transformation (function), Skewness, Oral Microbiome, Microbiome, Statistical physics, 0101 mathematics, Compositional data, Mathematics
Abstract: Longitudinal microbiome studies have been widely used to unveil the dynamics in the complex host-microbial ecosystems. Modeling the longitudinal microbiome compositional data, which is semi-continuous in nature, is challenging in several aspects: the overabundance of zeros, the heavy skewness of non-zero values that are bounded in (0, 1), and the dependence between the binary and non-zero parts. To deal with these challenges, we first extended the work of Chen and Li [1] and proposed a two-part zero-inflated Beta regression model with shared random effects (ZIBR-SRE), which characterize the dependence between the binary and the continuous parts. Besides, the microbiome compositional data have unit-sum constraint, indicating the existence of negative correlations among taxa. As ZIBR-SRE models each taxon separately, it does not satisfy the sum-to-one constraint. We then proposed a two-part linear mixed model (TPLMM) with shared random effects to formulate the log-transformed standardized relative abundances rather than the original ones. Such transformation is called “additive logistic transformation”, initially developed for cross-sectional compositional data. We extended it to analyze the longitudinal microbiome compositions and showed that the unit-sum constraint can be automatically satisfied under the TPLMM framework. Model performances of TPLMM and ZIBR-SRE were compared with existing methods in simulation studies. Under settings adopted from real data, TPLMM had the best performance and is recommended for practical use. An oral microbiome application further showed that TPLMM and ZIBR-SRE estimated a strong correlation structure in the binary and the continuous parts, suggesting models without accounting for this dependence would lead to biased inferences.
Published: 2021

155. Osthole relieves skin damage and inhibits chronic itch through modulation of Akt/ZO-3 pathway in atopic dermatitis

Author: Xueqin Hu, Yuan Zhou, Jianxin Shi, Mingxin Qi, Xue Li, Yan Yang, Chan Zhu, Changming Wang, Zongxiang Tang, Yuxiang Ma, and Guang Yu
Subjects: Pharmacology
Published: 2023

156. Abstract 3009: Measured and genetically-predicted leukocyte telomere length and lung cancer risk in the prospective UK Biobank

Author: Jason Yat-Yang Wong, Batel Blechter, Aubrey K. Hubbard, Jianxin Shi, Wei Hu, Mohammad Rahman, Shahinaz Gadalla, Mitchell Machiela, Nathaniel Rothman, and Qing Lan
Subjects: Cancer Research, Oncology
Abstract: Telomere length is a biomarker reflective of aging and genomic instability. We previously found associations between longer measured leukocyte telomere length (LTL) and increased lung cancer risk in a pooled nested case-control study with 847 cases. Additionally, we reported that longer genetically-predicted telomere length (gTL) using a polygenic risk score (PRS) with 7 single nucleotide polymorphisms (SNPs) was associated with increased lung cancer risk among never-smoking Asian women. To investigate further, we conducted prospective cohort analyses of pre-diagnostic LTL and gTL in relation to risk of overall lung cancer and its subtypes in the UK Biobank. With over triple the number of cases, we had expanded statistical power to investigate lung cancer, adenocarcinoma (LUAD), and squamous cell carcinoma (SCC) among subgroups defined by smoking status and sex in this predominantly European study population. We analyzed 371,890 participants at baseline. Over the 12.36±1.64SD year follow-up, 2829 incident lung cancer cases were diagnosed, including 1078 LUAD and 487 SCC. LTL was measured using qPCR. Using European data, we calculated a weighted PRS for gTL. The PRS was derived from 130 linkage disequilibrium pruned SNPs (r2 > 0.01) associated with longer LTL in the UK Biobank. Multivariable Cox regression was used to estimate the hazard ratios (HR) and 95% confidence intervals (CI) of lung cancer in relation to log-transformed continuous and quartiles (Q) of LTL and gTL separately. Associations were estimated in the overall analytic sample and among smoking-sex subgroups. We conducted Mendelian Randomization (MR) analyses using MR-PRESSO with 130 genetic instruments to assess causal associations between LTL and lung cancer among Europeans.We found a strong dose-response relationship between longer LTL and increased lung cancer risk (p-trend= 2.6E-05), with the highest quartile being statistically significant (HRQ4vs.Q1=1.27, 95%CI: 1.15-1.42). The association was apparent for LUAD (p-trend=6.6E-10; HRQ4vs.Q1=1.78, 95%CI: 1.50-2.12), but not SCC. The lung cancer associations were prominent among never-smoking women (p-trend=4.0E-05) and never-smoking men (p-trend=2.0E-03). We also found dose-response relationships between longer gTL and risk of lung cancer (p-trend=4.2E-06) and LUAD (p-trend=2.1E-08). Additionally, we found evidence for causal associations between longer LTL and risk of lung cancer (HRper 1 SD gTL=1.87, 95%CI: 1.49-2.36, p=4.0E-07) and LUAD (HRper 1 SD gTL=2.45, 95%CI: 1.69-3.57, p=6.5E-06). Longer leukocyte telomere length potentially reflects biological processes relevant to the pathogenesis of lung cancer, particularly LUAD. Citation Format: Jason Yat-Yang Wong, Batel Blechter, Aubrey K. Hubbard, Jianxin Shi, Wei Hu, Mohammad Rahman, Shahinaz Gadalla, Mitchell Machiela, Nathaniel Rothman, Qing Lan. Measured and genetically-predicted leukocyte telomere length and lung cancer risk in the prospective UK Biobank [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3009.
Published: 2023

157. Abstract 3050: Quality control samples for future population-based microbiome studies

Author: Semi Zouiouich, Smriti Karwa, Yunhu Wan, Andrew Chan, Joseph Petrosino, Emma Allen-Vercoe, Rob Knight, Jianxin Shi, Mitchell Gail, Christian Abnet, Emily Vogtmann, and Rashmi Sinha
Subjects: Cancer Research, Oncology
Abstract: Introduction: There is a critical need for complex microbiome quality control standards representing population-based samples for microbial community profiling and analysis in large scale epidemiologic studies. Methods: We developed standard quality control samples from five volunteers with different phenotypes, comprising one obese female, one healthy male, one male on a low-carb diet, one infant, and one male with Crohn’s Disease, and evaluated their microbial metagenomic profiles within three laboratories at two different timepoints. To quantify the percentage of microbiome variability explained by donors, laboratory and sequencing run, a distance-based coefficient of determination R2 was estimated using a permutational multivariate analysis of variance. In addition, we calculated the intraclass correlation coefficients (ICC) for the relative abundance of the most abundant species, two alpha diversity metrics (i.e., observed number of species and Shannon index) and the first principal coordinates of three beta diversity matrices (i.e., Bray-Curtis, Jaccard and Aitchison) to estimate the accuracy of fecal microbial profiles between the three different laboratories as well as within the laboratories. Results: The variability introduced by the phenotype of the donors explained 82.7% to 95.3% of the overall variability, which was higher than the variability introduced by the laboratories (1.8% to 3.1%) and the sequencing runs (0.6% to 1.7%) - the residual percent variance explained varied between 2.2% and 12.4%. Observations based on principal coordinates analysis showed that samples clustered by donor and not by laboratory or sequencing runs. The five donor clusters were well separated and very distinct. Based on the comparison of species relative abundances, each donor displayed very different microbial profiles; and the microbial profiles of each donor were comparable between the three different laboratories and the two sequencing runs in each laboratory. The reproducibility within and between the laboratories was good to excellent for most diversity metrics (ICCs higher than 0.97) and species relative abundances (range, ICCs=0.70-0.99); however, the reproducibility of the observed number of species was moderate (ICC=0.64 for the first laboratory, ICC=0.78 for the second laboratory, ICC=0.81 for the third laboratory, and ICC=0.42 between the laboratories). Conclusions: These standard quality control samples can be used as a reference in future population-based epidemiologic studies to pool or meta-analyze microbiome data. Citation Format: Semi Zouiouich, Smriti Karwa, Yunhu Wan, Andrew Chan, Joseph Petrosino, Emma Allen-Vercoe, Rob Knight, Jianxin Shi, Mitchell Gail, Christian Abnet, Emily Vogtmann, Rashmi Sinha. Quality control samples for future population-based microbiome studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3050.
Published: 2023

158. Abstract 5909: Characterization of the lung cancer microbiome using whole genome sequencing

Author: John McElderry, Tongwu Zhang, Jianxin Shi, and Maria Teresa Landi
Subjects: Cancer Research, Oncology
Abstract: Microbiome studies have been rapidly increasing over the last decade, providing valuable insights into the commensal bacterial contribution to human physiology and disease, including human cancer. Many studies have demonstrated the important roles of the microbiome in cancer progression, anti-tumor immunity, resistance to therapies, metastasis formation, and in some rare cases even cancer development through the production of genotoxins. However, relatively few studies have analyzed the lung cancer microbiome, and both its composition and role in cancer progression are largely unknown. To characterize the microbiome of tumor and matched normal lung tissues, we performed whole-genome sequencing (WGS) in 872 never smokers using the Kraken pipeline. At the phylum level, WGS analyses of tumor and normal samples showed predominantly Proteobacteria and Actinobacteria (58% and 32%, respectively). Notably, we found overall similar microbiome composition in tumor and normal lung tissue samples. At the genus level, Cutibacterium, Klebsiella, Pseudomonas, Sphingomonas, Staphylococcus, and Acinetobacter genera were among the most abundant bacteria in tumor and normal tissues, alike, and the genera Prevotella, Corynebacterium, and Streptococcus were more abundant in tumor samples compared to normal lung tissue. Comparison of alpha diversity at the genus level between tumors and normal samples showed no substantial difference. We are currently investigating whether the microbiome composition varies by lung tumor anatomical location, sex, histology, study subjects’ geographical location, and immune microenvironment. We will also investigate whether the tumor microbiome composition varies in relation to important genomic features, like cancer driver genes and mutational signatures. Finally, we have 16s rRNA seq data from 771 tumor and normal lung tissues from never smokers and we will compare bacterial microbiome composition and diversity based on WGS and 16s rRNA seq for the same samples. This study, based on the largest analysis of lung microbiome to date, is poised to provide important insights into the role of commensal microbiota in shaping lung tumor development and progression. Citation Format: John McElderry, Tongwu Zhang, Jianxin Shi, Maria Teresa Landi. Characterization of the lung cancer microbiome using whole genome sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5909.
Published: 2023

159. Abstract 1166: APOBEC deaminases compete with tobacco smoking mutagenesis and affect age at onset of lung cancer

Author: Tongwu Zhang, Jian Sang, Phuc H. Hoang, Wei Zhao, Jennifer Rosenbaum, Leszek J. Klimczak, John McElderry, Alyssa Klein, Christopher Wirth, Erik N. Bergstrom, Marcos Díaz-Gay, Raviteja Vangara, Amy Hutchinson, Scott M. Lawrence, Nathan Cole, Bin Zhu, Teresa M. Przytycka, Jianxin Shi, Neil E. Caporaso, Robert Homer, Angela C. Pesatori, Dario Consonni, Stephen J. Chanock, David C. Wedge, Dmitry A. Gordenin, Ludmil B. Alexandrov, Reuben S. Harris, and Maria Teresa Landi
Subjects: Cancer Research, Oncology
Abstract: APOBEC enzymes are part of the innate immunity and are responsible for restricting viruses and retroelements by deaminating cytosine residues. Most solid tumors harbor different levels of somatic mutations attributed to the off-target activities of APOBEC3A (A3A) and/or APOBEC3B (A3B). However, how APOBEC3A/B interact with exogenous mutagenic processes in shaping tumor development is largely unknown. Here, by combining deep whole-genome sequencing with multi-omics profiling of 309 lung cancers from smokers with detailed tobacco smoking information, we identify two subtypes defined by low (LAS) and high (HAS) APOBEC mutagenesis. LAS are enriched for A3B-like mutagenesis and KRAS mutations, whereas HAS for A3A-like mutagenesis and TP53 mutations. Unlike APOBEC3A, APOBEC3B expression is strongly associated with an upregulation of the base excision repair pathway. Hypermutation by unrepaired A3A and tobacco smoking mutagenesis combined with TP53-induced genomic instability can trigger senescence, apoptosis, and cell regeneration, as indicated by telomere shortening, high expression of pulmonary healing signaling pathway and stemness markers in HAS. The expected association of tobacco smoking exposure with genomic/epigenomic changes are not observed in HAS, a plausible consequence of frequent cell senescence or apoptosis. HAS tumors have slower clonal expansion and older age at onset compared to LAS, particularly in heavy smokers, consistent with high proportions of newly generated, unmutated cells in HAS. These findings show how heterogeneity in mutational burden across competing mutational processes and cell types contributes to tumor development, with important clinical implications. Citation Format: Tongwu Zhang, Jian Sang, Phuc H. Hoang, Wei Zhao, Jennifer Rosenbaum, Leszek J. Klimczak, John McElderry, Alyssa Klein, Christopher Wirth, Erik N. Bergstrom, Marcos Díaz-Gay, Raviteja Vangara, Amy Hutchinson, Scott M. Lawrence, Nathan Cole, Bin Zhu, Teresa M. Przytycka, Jianxin Shi, Neil E. Caporaso, Robert Homer, Angela C. Pesatori, Dario Consonni, Stephen J. Chanock, David C. Wedge, Dmitry A. Gordenin, Ludmil B. Alexandrov, Reuben S. Harris, Maria Teresa Landi. APOBEC deaminases compete with tobacco smoking mutagenesis and affect age at onset of lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1166.
Published: 2023

160. Abstract 5722: The mutational signatures of 100,477 targeted sequenced tumors

Author: Donghyuk Lee, Min Hua, Difei Wang, Lei Song, Tongwu Zhang, Kai Yu, Xiaohong R. Yang, Jianxin Shi, Stephen J. Chanock, Maria Teresa Landi, and Bin Zhu
Subjects: Cancer Research, Oncology
Abstract: Mutational signatures, the footprints of somatic mutations, are associated with the causes of cancer and have been well-studied for tumors with whole exome or genome sequencing. However, due to the low number of detected mutations, mutational signatures were insufficiently explored for many tumors sequenced by targeted panels in clinics. It impedes the clinical application of mutational signatures. Here, we present a new method, SALMON (Signature Analyzer for Low Mutation cOuNts), to identify mutational signatures in targeted sequenced tumors based on tumor mutational burden. SALMON adjusts for panel size differences and uses a large number of targeted sequenced tumors rather than a large number of mutations per tumor (as with whole exome or genome sequencing) to overcome the challenges of mutational signature analysis for targeted sequencing. Extensive simulations and pseudo-targeted sequenced data show that SALMON can accurately detect spiky or common signatures. We applied SALMON to investigate the pan-cancer patterns of mutational signatures for 100,477 targeted sequenced tumors in AACR Project GENIE, including 14,428 lung and 11,389 breast tumors. We detected well-established signatures in tumor types that have not previously been associated with these signatures, such as the smoking signature in ovarian tumors. Interestingly, analysis of thousands of tumors per cancer type from diverse populations revealed gender discrepancies, self-described race differences, subtype heterogeneity, and metastatic enrichment of mutational signatures. For instance, most sex-biased signatures are more frequently present in males for non-gender-specific cancers. Thiopurine treatment-induced signature in glioma is enriched in Black patients. And endometrioid ovarian or uterine cancers have a higher prevalence of polymerase epsilon (POLE) deficiency-related signatures than non-endometrioid ovarian or uterine cancers, respectively. Our study demonstrates the feasibility and utility of mutational signature analysis for targeted sequenced tumors, enabling precision applications of mutational signatures in the clinical setting. Citation Format: Donghyuk Lee, Min Hua, Difei Wang, Lei Song, Tongwu Zhang, Kai Yu, Xiaohong R. Yang, Jianxin Shi, Stephen J. Chanock, Maria Teresa Landi, Bin Zhu. The mutational signatures of 100,477 targeted sequenced tumors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5722.
Published: 2023

161. Abstract 3483: Epigenome-wide association study of lung cancer among never-smokers in two prospective cohorts in Shanghai

Author: Mohammad L. Rahman, Charles E. Breeze, Xiao-Ou Shu, Jason YY Wong, Andres Cardenas, Xuting Wang, Bu-Tian Ji, Wei Hu, Batel Blechter, Qiuyin Cai, H Dean Hosgood, Gong Yang, Jianxin Shi, Jirong Long, Yu-Tang Gao, Douglas Bell, Wei Zheng, Qing Lan, and Nathaniel Rothman
Subjects: Cancer Research, Oncology
Abstract: Background: The etiology of lung cancer among never-smokers has not been adequately elucidated despite that globally15% of lung cancer cases in men and 53% in women are not smoking-related. Epigenetic modifications, including changes in DNA methylation (DNAm), have been suggested as possible underlying mechanisms. However, only a few prospective epigenome-wide association studies (EWAS) of lung cancer incidence have been conducted, all exclusively focused on DNAm in peripheral blood cells and included a minimal number of never-smokers. We aimed to investigate genome-wide DNAm associations and epigenetic age acceleration with future risk of lung cancer among never-smokers using pre-diagnostic oral rinse samples. Methods: We conducted a case-control study of 80 never-smoking incident lung cancer cases and 83 comparable never-smoking controls nested in two large prospective cohorts: the Shanghai Women’s Health Study and Shanghai Men’s Health Study. DNAm was measured using the Illumina EPIC array. The top 50 differentially methylated positions (DMPs) were identified from a discovery sample and tested for replication in a validation sample using robust linear regression models. We also conducted an EWAS in the pooled sample. We examined functional overlap enrichment across chromatin states and histone mark broadPeaks for the top 1000 DMPs using eFORGE and constructed enrichment biological pathways analyses. Results: Across discovery and pooled EWAS, we identified four DMPs associated with lung cancer at the epigenome-wide significance level of P Conclusions: To our knowledge, this is the first prospective EWAS of lung cancer among never-smokers using oral rinse samples. Our results show that DNAm in pre-diagnostic oral rinse samples can provide new insights into lung cancer etiology and risk factors. Citation Format: Mohammad L. Rahman, Charles E. Breeze, Xiao-Ou Shu, Jason YY Wong, Andres Cardenas, Xuting Wang, Bu-Tian Ji, Wei Hu, Batel Blechter, Qiuyin Cai, H Dean Hosgood, Gong Yang, Jianxin Shi, Jirong Long, Yu-Tang Gao, Douglas Bell, Wei Zheng, Qing Lan, Nathaniel Rothman. Epigenome-wide association study of lung cancer among never-smokers in two prospective cohorts in Shanghai [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3483.
Published: 2023

162. Tuneable physical properties of ReI3 through ferroelectric polarization switching in 2D van der Waals multiferroic heterostructures

Author: Xiaoou Zhang, Di Wang, Xianzhong Zhu, and Jianxin Shi
Subjects: General Physics and Astronomy
Published: 2023

163. Discovery of a new phosphorviaaliovalent cation substitution: DFT predictions, phase transition and luminescence properties for lighting and anti-counterfeiting applications

Author: Dawei Wen, Wenye Zhang, Jianxin Shi, Hongmin Liu, Qingguang Zeng, and Hongwei Liang
Subjects: Electronegativity, Materials science, Photoluminescence, Valence (chemistry), Electron diffraction, Phase (matter), Materials Chemistry, Physical chemistry, Phosphor, Density functional theory, General Chemistry, Luminescence
Abstract: Over the last two decades, suitable compositions have been investigated to make new phosphors because they are key materials for use in solid-state lighting and security applications. Aliovalent cations have different radii, electronegativity and valence states, and can thus be used to remarkably modify crystal structures. Here, we report a new Sr33Lu6(PO4)28 phase produced from Sr3(PO4)2via the method of aliovalent cation substitution. Density functional theory calculations were used to predict the possibility of the formation of a new phase when substituting three Sr2+ for two Lu3+ ions in the material. The new phase, Sr33Lu6(PO4)28, was confirmed by X-ray diffraction, electron diffraction and photoluminescence spectroscopy. Different from the purple phosphor Sr3(PO4)2:Eu2+, Sr33Lu6(PO4)28:Eu2+ exhibits broad green emission under near-UV excitation due to the multi-site occupancy of Eu2+. Combining near-UV chip, blue, red and Sr33Lu6(PO4)28:Eu2+ green phosphors, a white light-emitting diode with a high colour rendering index (∼92) was made, with potential lighting applications. Additionally, a transparent security ink fabricated using the Sr33Lu6(PO4)28:Eu2+ phosphor shows high concealment and recognition. This work is not confined to the report of a new Sr33Lu6(PO4)28:Eu2+ phosphor and its corresponding applications; it is expected that aliovalent cation substitution will be useful as a general method for the discovery of new materials.
Published: 2021

164. Single‐Crystal Red Phosphors and Their Core–Shell Structure for Improved Water‐Resistance for Laser Diodes Applications

Author: Mingmei Wu, Jianxin Shi, Bojana Milićević, Ru-Shi Liu, Jing Yan, Yunfeng Wang, Jianbang Zhou, Chen Yingyuan, Yayun Zhou, and Lei Zhou
Subjects: Photoluminescence, Materials science, 010405 organic chemistry, business.industry, General Medicine, General Chemistry, Color temperature, 010402 general chemistry, 01 natural sciences, Catalysis, 0104 chemical sciences, law.invention, law, Optoelectronics, Quantum efficiency, Thermal stability, Crystallite, business, Luminous efficacy, Single crystal, Light-emitting diode
Abstract: A solvent-vapor transport route produces centimeter-sized single-crystal red phosphors. The epitaxial growth route to yield its core-shell structure at ambient temperature was adopted. These red phosphors could be applied in all-inorganic WLED devices. Cs2 TiF6 :Mn4+ (CTFM) single crystal provides enhancement of quantum efficiency, moisture resistance, and thermal stability compared to polycrystalline powders. The internal quantum efficiency can reach as high as 98.7 %. To further improve waterproof stability, the Cs2 TiF6 (CTF) shell with tunable thickness has been epitaxially grown on the CTFM single crystal surface and a unique three-step photoluminescence intensity evolution mechanism has been proposed. By combining as-prepared CTFM@CTF core-shell structured single crystal, YAG:Ce single crystal and blue-chip, warm WLEDs with excellent color rendition (Ra =90, R9 =94), low correlated color temperature (CCT=3155 K), and high luminous efficacy were fabricated without any organic resins.
Published: 2020

165. Variation in oral microbiome is associated with future risk of lung cancer among never-smokers

Author: Yunhu Wan, Christian C. Abnet, Xiao-Ou Shu, Jianxin Shi, Nathaniel Rothman, Qiuyin Cai, Wei Zheng, Jirong Long, Xing Hua, Yu-Tang Gao, Madelyn Klugman, Bu Tian Ji, Wei Hu, Qing Lan, H. Dean Hosgood, Jason Y.Y. Wong, Yong-Bing Xiang, Yaohua Yang, and Bryan A. Bassig
Subjects: Male, Pulmonary and Respiratory Medicine, China, medicine.medical_specialty, Lung Neoplasms, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, Prospective Studies, Microbiome, Prospective cohort study, Lung cancer, 030304 developmental biology, 0303 health sciences, Smokers, business.industry, Incidence, Microbiota, Mouth Mucosa, Cancer, Middle Aged, medicine.disease, 030228 respiratory system, Case-Control Studies, Etiology, Female, Sample collection, Oral Microbiome, business
Abstract: ObjectiveTo prospectively investigate whether diversity in oral microbiota is associated with risk of lung cancer among never-smokers.Design and settingA nested case–control study within two prospective cohort studies, the Shanghai Women’s Health Study (n=74 941) and the Shanghai Men’s Health Study (n=61 480).ParticipantsLifetime never-smokers who had no cancer at baseline. Cases were subjects who were diagnosed with incident lung cancer (n=114) and were matched 1:1 with controls on sex, age (≤2 years), date (≤30 days) and time (morning/afternoon) of sample collection, antibiotic use during the week before sample collection (yes/no) and menopausal status (for women).Main outcomes and measuresMetagenomic shotgun sequencing was used to measure the community structure and abundance of the oral microbiome in pre-diagnostic oral rinse samples of each case and control. Multivariable logistic regression models were used to estimate the association of lung cancer risk with alpha diversity metrics and relative abundance of taxa. The Microbiome Regression-Based Kernel Association Test (MiRKAT) evaluated the association between risk and the microbiome beta diversity.ResultsSubjects with lower microbiota alpha diversity had an increased risk of lung cancer compared with those with higher microbial alpha diversity (Shannon: ptrend=0.05; Simpson: ptrend=0.04; Observed Species: ptrend=0.64). No case–control differences were apparent for beta diversity (pMiRKAT=0.30). After accounting for multiple comparisons, a greater abundance of Spirochaetia (ORlow 1.00 (reference), ORmedium 0.61 (95% CI 0.32 to 1.18), ORhigh 0.42 (95% CI 0.21 to 0.85)) and Bacteroidetes (ORlow 1.00 (reference), ORmedium 0.66 (95% CI 0.35 to 1.25), ORhigh 0.31 (95% CI 0.15 to 0.64)) was associated with a decreased risk of lung cancer, while a greater abundance of the Bacilli class (ORlow 1.00 (reference), ORmedium 1.49 (95% CI 0.73 to 3.08), ORhigh 2.40 (95% CI 1.18 to 4.87)) and Lactobacillales order (ORlow 1.00 (reference), ORmedium 2.15 (95% CI 1.03 to 4.47), ORhigh 3.26 (95% CI 1.58 to 6.70)) was associated with an increased risk of lung cancer.ConclusionsOur prospective study of never-smokers suggests that lower alpha diversity was associated with a greater risk of lung cancer and the abundance of certain specific taxa was associated with altered risk, providing further insight into the aetiology of lung cancer in the absence of active tobacco smoking.
Published: 2020

166. The Oral Microbiome and Lung Cancer Risk: An Analysis of 3 Prospective Cohort Studies

Author: Emily Vogtmann, Xing Hua, Guoqin Yu, Vaishnavi Purandare, Autumn G Hullings, Dantong Shao, Yunhu Wan, Shilan Li, Casey L Dagnall, Kristine Jones, Belynda D Hicks, Amy Hutchinson, J Gregory Caporaso, William Wheeler, Dale P Sandler, Laura E Beane Freeman, Linda M Liao, Wen-Yi Huang, Neal D Freedman, Neil E Caporaso, Rashmi Sinha, Mitchell H Gail, Jianxin Shi, and Christian C Abnet
Subjects: Male, Cancer Research, Lung Neoplasms, Microbiota, Smoking, Articles, Cohort Studies, Cross-Sectional Studies, Oncology, Risk Factors, RNA, Ribosomal, 16S, Humans, Prospective Studies, Lung
Abstract: Background Previous studies suggested associations between the oral microbiome and lung cancer, but studies were predominantly cross-sectional and underpowered. Methods Using a case-cohort design, 1306 incident lung cancer cases were identified in the Agricultural Health Study; National Institutes of Health-AARP Diet and Health Study; and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Referent subcohorts were randomly selected by strata of age, sex, and smoking history. DNA was extracted from oral wash specimens using the DSP DNA Virus Pathogen kit, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatics were conducted using QIIME 2. Hazard ratios and 95% confidence intervals were calculated using weighted Cox proportional hazards models. Results Higher alpha diversity was associated with lower lung cancer risk (Shannon index hazard ratio = 0.90, 95% confidence interval = 0.84 to 0.96). Specific principal component vectors of the microbial communities were also statistically significantly associated with lung cancer risk. After multiple testing adjustment, greater relative abundance of 3 genera and presence of 1 genus were associated with greater lung cancer risk, whereas presence of 3 genera were associated with lower risk. For example, every SD increase in Streptococcus abundance was associated with 1.14 times the risk of lung cancer (95% confidence interval = 1.06 to 1.22). Associations were strongest among squamous cell carcinoma cases and former smokers. Conclusions Multiple oral microbial measures were prospectively associated with lung cancer risk in 3 US cohort studies, with associations varying by smoking history and histologic subtype. The oral microbiome may offer new opportunities for lung cancer prevention.
Published: 2022

167. Performance Analysis of Dual-Hop Relaying for THz/RF Systems

Author: Jianxin Shi, Ziliang Chen, and Tingze Zhang
Published: 2022

168. Identifying the Common Genetic Basis of Antidepressant Response

Author: Sara A. Paciga, Richard M. Weinshilboum, Andrew M. McIntosh, Tim B. Bigdeli, Stephanie H. Witt, Sven Cichon, Glyn Lewis, Henning Teismann, Brenda W.J.H. Penninx, Gerome Breen, Roseann E. Peterson, Saira Saeed Mirza, Diego Albani, Lisa Jones, Andreas J. Forstner, Sara Mostafavi, Julien Bryois, Qingqin S. Li, Kenneth S. Kendler, Thomas Damm Als, Fernando S. Goes, Marie Bækvad-Hansen, Nancy L. Pedersen, Gianluigi Forloni, Per Qvist, Carsten Horn, Per Hoffmann, Steven P. Hamilton, Georg Homuth, Michael Gill, Julien Mendlewicz, Katharina Domschke, Volker Arolt, Adrian I. Campos, Christine Søholm Hansen, Scott D. Gordon, Hogni Oskarsson, Peter McGuffin, Oliver Pain, Eric Jorgenson, Victoria S. Marshe, Stacy Steinberg, Bertram Müller-Myhsok, Mark Adams, J. Raymond DePaulo, Rick Jansen, Katherine J. Aitchison, Vassily Trubetskoy, Henry Völzke, Manuel Mattheisen, Bernard Ng, James A. Knowles, Dorret I. Boomsma, Tracy Air, Elisabeth B. Binder, Ian B. Hickie, Christel M. Middeldorp, Tõnu Esko, David M. Hougaard, E.J.C. de Geus, Toni-Kim Clarke, Helena Gaspar, Bernhard T. Baune, Abdel Abdellaoui, Engilbert Sigurdsson, Andres Metspalu, Klaus Berger, Jorge A. Quiroz, Patrick F. Sullivan, Aartjan T.F. Beekman, Thomas Hansen, Panagiotis Ferentinos, Jürgen Wellmann, Miguel E. Rentería, Daniel Umbricht, Marcella Rietschel, Stanley I. Shyn, Chiara Fabbri, Hreinn Stefansson, Jerome C. Foo, Daniel Souery, Zoltán Kutalik, Yu-Li Liu, Paul F. O'Reilly, Michael John Owen, Nese Direk, Douglas F. Levinson, Stuart Montgomery, Hamdi Mbarek, David M. Howard, Guido Bondolfi, Lucía Colodro-Conde, Pippa A. Thomson, Merete Nordentoft, Stefan Kloiber, Yunpeng Wang, Michael Conlon O'Donovan, Grant C.B. Sinnamon, Alexander Viktorin, Hilary K. Finucane, Esben Agerbo, Stefan Herms, Markus M. Nöthen, Till F. M. Andlauer, Divya Mehta, Bradley T. Webb, Joanna M. Biernacka, David J. Porteous, Jordan W. Smoller, Jonathan R. I. Coleman, Dean F. MacKinnon, Farnush Farhadi Hassan Kiadeh, Baptiste Couvy-Duchesne, Evelin Mihailov, Eleanor M. Wigmore, Franziska Degenhardt, Jianxin Shi, Dale R. Nyholt, Enda M. Byrne, Stephan Ripke, Ole Mors, Patrik K. E. Magnusson, Eric J. Lenze, Warren W. Kretzschmar, Masaki Kato, Marcus Ising, Ian Jones, Lynsey S. Hall, Wouter J. Peyrot, Ling Shen, Nader Perroud, Na Cai, Maciej Trzaskowski, Matthias Nauck, Isaac S. Kohane, Enrico Domenici, Fabian Streit, James L. Kennedy, Peter M. Visscher, Valentina Escott-Price, Donald J. MacIntyre, Enrique Castelao, Margarita Rivera, Mojca Z. Dernovsek, John P. Rice, Joseph Zohar, Gail Davies, Andrew C. Heath, Josef Frank, Wesley K. Thompson, Caroline Hayward, Penelope A. Lind, Thorgeir E. Thorgeirsson, Rudolf Uher, Jana Strohmaier, Henriette N. Buttenschøn, Erin C. Dunn, Jonas Bybjerg-Grauholm, Alexander Teumer, Jakob Grove, Eske M. Derks, Nicholas G. Martin, Jodie N. Painter, Myrna M. Weissman, Preben Bo Mortensen, Michel G. Nivard, Catherine Schaefer, Yihan Li, Daniel J. Smith, Shih-Jen Tsai, Niamh Mullins, Jian Yang, Marianne Giørtz Pedersen, Dan Rujescu, Thomas G. Schulze, Lili Milani, Yuri Milaneschi, Giorgio Pistis, James B. Potash, Neven Henigsberg, Nicholas John Craddock, Karen Hodgson, Silviu-Alin Bacanu, Shantel Weinsheimer, Charles F. Reynolds, Johannes H. Smit, Gonneke Willemsen, Futao Zhang, Henning Tiemeier, Grant W. Montgomery, Martin Preisig, Udo Dannlowski, Thalia C. Eley, Thomas Werge, Katherine E. Tansey, Jane H. Christensen, Julia Kraft, Ian J. Deary, Cathryn M. Lewis, Sarah E. Medland, André G. Uitterlinden, Daniel J. Müller, Carsten Bøcker Pedersen, Gustavo Turecki, Hans J. Grabe, Matthew Traylor, Brien P. Riley, Roy H. Perlis, Patrick J. McGrath, Conor V. Dolan, Hualin S. Xi, Jonathan Marchini, Robert A. Schoevers, Albert M. van Hemert, Anders D. Børglum, Susanne Lucae, Jouke-Jan Hottenga, Kari Stefansson, Benoit H. Mulsant, Francis M. Mondimore, Naomi R. Wray, Yang Wu, Wolfgang Maier, Danielle Posthuma, Annamaria Cattaneo, Gregory E. Crawford, Siegfried Kasper, Alessandro Serretti, Tania Carrillo-Roa, Robert Maier, Pamela A. F. Madden, Eva C. Schulte, Jens Treutlein, Joanna Hauser, Sandra Van der Auwera, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, APH - Methodology, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Adult Psychiatry, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Epidemiology, Child and Adolescent Psychiatry / Psychology, and Internal Medicine
Subjects: Oncology, MDD, medicine.medical_specialty, Single-nucleotide polymorphism, Genome-wide association study, Biology, Antidepressant response, Depression, GWAS, Genetics, Polygenic score, SDG 3 - Good Health and Well-being, Internal medicine, Genetic variation, medicine, ddc:610, Genetic association, General Medicine, Heritability, medicine.disease, Schizophrenia, Sample size determination, Settore BIO/14 - Farmacologia, Major depressive disorder
Abstract: Background: Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction.Methods: Genome-wide analysis of remission (nremit = 1852, nnonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism–based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA.Results: Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism–based heritability was significantly different from zero for remission (h2 = 0.132, SE = 0.056) but not for percentage improvement (h2 = −0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response.Conclusions: This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.
Published: 2022

169. Genetic Basis Underlying Tiller Angle in Rice (Oryza sativa L.) by Genome-wide Association Study

Author: Shaoxing Bai, Jun Hong, Su Su, Zhikang Li, Wensheng Wang, Jianxin Shi, Wanqi Liang, and Dabing Zhang
Subjects: Plant Breeding, Quantitative Trait Loci, Chromosome Mapping, food and beverages, Oryza, Plant Science, General Medicine, Agronomy and Crop Science, Genome-Wide Association Study
Abstract: Rice tiller angle is a key agronomic trait determining rice grain yield. Several quantitative trait loci (QTLs) affecting rice tiller angle have been mapped in the past decades. little is known about the genetic base of tiller angle in rice, because rice tiller angle is a complex polygenic trait. In this study, we performed genome-wide association study (GWAS) on tiller angle in rice using a population of 164 japonica varieties derived from the 3K Rice Genomes Project (3K RGP). We detected a total of 18 QTLs using 1,135,519 single-nucleotide polymorphisms (SNP) based on three GWAS models (GLM, FastLMM and FarmCPU). Among them, two identified QTLs, qTA8.3 and qTA8.4, overlapped with PAY1 and TIG1, respectively, and additional 16 QTLs were identified for the first time. Combined with haplotype and expression analyses, we further revealed that PAY1 harbors one non-synonymous variation at its coding region, likely leading to variable tiller angle in the population, and that nature variations in the promoter of TIG1 significantly affect its expression, closely correlating with tiller angle phenotypes observed. Similarly, using qRT-PCR and haplotype analysis, we identified 1 and 7 candidate genes in qTA6.1 and qTA8.1 that were commonly detected by two GWAS models, respectively. In addition, we identified 3 more candidate genes in the remaining 14 novel QTLs after filtering by transcriptome analysis and qRT-PCR. In summary, this study provides new insights into the genetic architecture of rice tiller angle and candidate genes for rice breeding.
Published: 2022

170. Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error

Author: Soutrik Mandal, Do Hyun Kim, Xing Hua, Shilan Li, and Jianxin Shi
Subjects: Statistics and Probability, General Medicine, Statistics, Probability and Uncertainty
Abstract: In prospective genomic studies (e.g., DNA methylation, metagenomics, and transcriptomics), it is crucial to estimate the overall fraction of phenotypic variance (OFPV) attributed to the high-dimensional genomic variables, a concept similar to heritability analyses in genome-wide association studies (GWAS). Unlike genetic variants in GWAS, these genomic variables are typically measured with error due to technical limitation and temporal instability. While the existing methods developed for GWAS can be used, ignoring measurement error may severely underestimate OFPV and mislead the design of future studies. Assuming that measurement error variances are distributed similarly between causal and noncausal variables, we show that the asymptotic attenuation factor equals to the average intraclass correlation coefficients of all genomic variables, which can be estimated based on a pilot study with repeated measurements. We illustrate the method by estimating the contribution of microbiome taxa to body mass index and multiple allergy traits in the American Gut Project. Finally, we show that measurement error does not cause meaningful bias when estimating the correlation of effect sizes for two traits.
Published: 2022

171. Stability of the Fecal and Oral Microbiome over 2 Years at -80°C for Multiple Collection Methods.

Author: Zouiouich, Semi, Byrd, Doratha A., Xing Hua, Karwa, Smriti, Yunhu Wan, Jianxin Shi, Humphrey, Gregory C., Ackermann, Gail L., Knight, Rob, Abnet, Christian C., Vogtmann, Emily, and Sinha, Rashmi
Abstract: Background: In prospective cohorts, biological samples are generally stored over long periods before an adequate number of cases have accrued. We investigated the impact of sample storage at -80°C for 2 years on the stability of the V4 region of the 16S rRNA gene across seven different collection methods (i.e., no additive, 95% ethanol, RNAlater stabilization solution, fecal occult blood test cards, and fecal immunochemical test tubes for feces; OMNIgene ORAL tubes and Scope mouthwash for saliva) among 51 healthy volunteers. Methods: Intraclass correlation coefficients (ICC) were calculated for the relative abundance of the top three phyla, the 20 most abundant genera, three alpha-diversity metrics, and the first principal coordinates of three beta-diversity matrices. Results: The subject variability was much higher than the variability introduced by the sample collection type, and storage time. For fecal samples, microbial stability over 2 years was high across collection methods (range, ICCs = 0.70-0.99), except for the samples collected with no additive (range, ICCs = 0.23-0.83). For oral samples, most microbiome diversity measures were stable over time with ICCs above 0.74; however, ICCs for the samples collected with Scope mouthwash were lower for two alpha-diversity measures, Faith's phylogenetic diversity (0.23) and the observed number of operational taxonomic units (0.23). Conclusions: Fecal and oral samples in most used collection methods are stable for microbiome analyses after 2 years at -80°C, except for fecal samples with no additive. Impact: This study provides evidence that samples stored for an extended period from prospective studies are useful for microbiome analyses. [ABSTRACT FROM AUTHOR]
Published: 2023
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172. Tracing Lung Cancer Risk Factors Through Mutational Signatures in Never-Smokers

Author: Jiyeon Choi, Wei Zhao, David C. Wedge, Tongwu Zhang, Stephen J. Chanock, Jian Sang, Laura Mendoza, Dmitry A. Gordenin, Michael Kebede, Neil E. Caporaso, Montserrat Garcia-Closas, Marwil Pacheco, Ludmil B. Alexandrov, Mustapha Abubakar, Bin Zhu, Qing Lan, Maria Teresa Landi, Jennifer Rosenbaum, Belynda Hicks, Jianxin Shi, Nathaniel Rothman, and Naoise C Synnott
Subjects: Lung Neoplasms, Epidemiology, DNA Mutational Analysis, Computational biology, Biology, medicine.disease_cause, Risk Assessment, Genome, DNA sequencing, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, medicine, Humans, Genetic Predisposition to Disease, Microbiome, Lung cancer, Retrospective Studies, 030304 developmental biology, Whole genome sequencing, 0303 health sciences, Mutation, Study Design, Whole Genome Sequencing, Cancer, medicine.disease, Causality, 030220 oncology & carcinogenesis, Cancer Etiology
Abstract: Epidemiologic studies often rely on questionnaire data, exposure measurement tools, and/or biomarkers to identify risk factors and the underlying carcinogenic processes. An emerging and promising complementary approach to investigate cancer etiology is the study of somatic “mutational signatures” that endogenous and exogenous processes imprint on the cellular genome. These signatures can be identified from a complex web of somatic mutations thanks to advances in DNA sequencing technology and analytical algorithms. This approach is at the core of the Sherlock-Lung study (2018–ongoing), a retrospective case-only study of over 2,000 lung cancers in never-smokers (LCINS), using different patterns of mutations observed within LCINS tumors to trace back possible exposures or endogenous processes. Whole genome and transcriptome sequencing, genome-wide methylation, microbiome, and other analyses are integrated with data from histological and radiological imaging, lifestyle, demographic characteristics, environmental and occupational exposures, and medical records to classify LCINS into subtypes that could reveal distinct risk factors. To date, we have received samples and data from 1,370 LCINS cases from 17 study sites worldwide and whole-genome sequencing has been completed on 1,257 samples. Here, we present the Sherlock-Lung study design and analytical strategy, also illustrating some empirical challenges and the potential for this approach in future epidemiologic studies.
Published: 2020

173. A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating External Information

Author: Ting Huei Chen, Jianxin Shi, Nilanjan Chatterjee, and Maria Teresa Landi
Subjects: Statistics and Probability, Penalized regression, Computer science, business.industry, 05 social sciences, Genome-wide association study, Machine learning, computer.software_genre, 01 natural sciences, Summary statistics, Article, 010104 statistics & probability, Lasso (statistics), 0502 economics and business, Genetic Pleiotropy, Polygenic risk score, Artificial intelligence, 0101 mathematics, Statistics, Probability and Uncertainty, business, computer, Predictive modelling, 050205 econometrics, Genetic association
Abstract: Large-scale genome-wide association (GWAS) studies provide opportunities for developing genetic risk prediction models that have the potential to improve disease prevention, intervention or treatment. The key step is to develop polygenic risk score (PRS) models with high predictive performance for a given disease, which typically requires a large training data set for selecting truly associated single nucleotide polymorphisms (SNPs) and estimating effect sizes accurately. Here, we develop a comprehensive penalized regression for fitting l(1) regularized regression models to GWAS summary statistics. We propose incorporating Pleiotropy and ANnotation information into PRS (PANPRS) development through suitable formulation of penalty functions and associated tuning parameters. Extensive simulations show that PANPRS performs equally well or better than existing PRS methods when no functional annotation or pleiotropy is incorporated. When functional annotation data and pleiotropy are informative, PANPRS substantially outperforms existing PRS methods in simulations. Finally, we applied our methods to build PRS for type 2 diabetes and melanoma and found that incorporating relevant functional annotations and GWAS of genetically related traits improved prediction of these two complex diseases.
Published: 2020

174. Power of Microbiome Beta-Diversity Analyses Based on Standard Reference Samples

Author: Yunhu Wan, Jianxin Shi, and Mitchell H. Gail
Subjects: 0303 health sciences, Association test, Practice of Epidemiology, Epidemiology, Microbiota, Nose, Reference Standards, Regression, Body Mass Index, Matrix (chemical analysis), Feces, 03 medical and health sciences, 0302 clinical medicine, Multivariate analysis of variance, 030220 oncology & carcinogenesis, Statistics, Humans, Multinomial distribution, Microbiome, Saliva, Test sample, Skin, 030304 developmental biology, Human Microbiome Project, Mathematics
Abstract: A simple method to analyze microbiome beta-diversity computes mean beta-diversity distances from a test sample to standard reference samples. We used reference stool and nasal samples from the Human Microbiome Project and regressed an outcome on mean distances (2 degrees-of-freedom (df) test) or additionally on squares and cross-product of mean distances (5-df test). We compared the power of 2-df and 5-df tests with the microbiome regression-based kernel association test (MiRKAT). In simulations, MiRKAT had moderately greater power than the 2-df test for discriminating skin versus saliva and skin versus nasal samples, but differences were negligible for skin versus stool and stool versus nasal samples. The 2-df test had slightly greater power than MiRKAT for Dirichlet multinomial samples. In associating body mass index with beta-diversity in stool samples from the American Gut Project, the 5-df test yielded smaller P values than MiRKAT for most taxonomic levels and beta-diversity measures. Unlike procedures like MiRKAT that are based on the beta-diversity matrix, mean distances to reference samples can be analyzed with standard statistical tools and shared or meta-analyzed without sharing primary DNA data. Our data indicate that standard reference tests have power comparable to MiRKAT’s (and to permutational multivariate analysis of variance), but more simulations and applications are needed to confirm this.
Published: 2020

175. Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk

Author: Brian M. Wolpin, Fangcheng Yuan, Lynne R. Wilkens, Núria Malats, Alan A. Arslan, Verena Katzke, Charles Kooperberg, Manal M. Hassan, Kimmie Ng, Robert N. Hoover, Naomi Walsh, Nicolas Wentzensen, Bas Bueno-de-Mesquita, Rachael Z. Stolzenberg-Solomon, Sonja I. Berndt, Holger Kirsten, Alison P. Klein, Patricia Hartge, Steven Gallinger, Demetrius Albanes, Wei Zheng, Stephen J. Chanock, Federico Canzian, Ann L. Oberg, Paige M. Bracci, I-Min Lee, Kala Visvanathan, Loic Le Marchand, Herbert Yu, Ian M. Thompson, Anne Zeleniuch-Jacquotte, Eric J. Duell, Han Zhang, Jonas Rosendahl, William R. Bamlet, Paul Brennan, Rayjean J. Hung, Kari G. Rabe, Thilo Hackert, Lei Song, Xiaoliang Wang, Elizabeth A. Holly, Howard D. Sesso, Jean Wactawski-Wende, Rachel E. Neale, Laura E. Beane Freeman, Phyllis J. Goodman, Harvey A. Risch, Jianxin Shi, Charles S. Fuchs, Nathaniel Rothman, Gabriella Andreotti, Roger L. Milne, Robert C. Kurtz, Neil Murphy, Francisco X. Real, Miquel Porta, J. Michael Gaziano, William Wheeler, Pilar Amiano, Emily White, Debra T. Silverman, Ana Babic, Kai Yu, Ghislaine Scelo, Laufey T. Amundadottir, Mengmeng Du, Gloria M. Petersen, Peter T. Campbell, Xiao-Ou Shu, Graham G. Giles, Michael Goggins, Elizabeth A. Platz, Donghui Li, and Julie E. Buring
Subjects: 0301 basic medicine, Cancer Research, medicine.medical_specialty, Cholangitis, Sclerosing, Genome-wide association study, Disease, Inflammatory bowel disease, Gastroenterology, Article, Primary sclerosing cholangitis, 03 medical and health sciences, 0302 clinical medicine, Crohn Disease, Pancreatitis, Chronic, Internal medicine, Genetic predisposition, medicine, Humans, Genetic Predisposition to Disease, Colitis, business.industry, Inflammatory Bowel Diseases, medicine.disease, Ulcerative colitis, digestive system diseases, Pancreatic Neoplasms, Celiac Disease, 030104 developmental biology, Oncology, Case-Control Studies, 030220 oncology & carcinogenesis, Chronic Disease, Pancreatitis, Colitis, Ulcerative, business, Carcinoma, Pancreatic Ductal, Genome-Wide Association Study
Abstract: Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values < 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.
Published: 2020

176. The Effect of Magnetic Flux Focusing on the Current–Voltage Characteristics of YBa2Cu3O7- δ Grain Boundary Josephson Junctions

Author: Jian Chen, Peiheng Wu, Jingbo Wu, Weiwei Xu, Ya-Peng Lu, Mei Yu, Jianxin Shi, and Tao Hua
Subjects: Josephson effect, Materials science, Field (physics), Condensed matter physics, Flux, Yttrium barium copper oxide, Condensed Matter::Mesoscopic Systems and Quantum Hall Effect, Condensed Matter Physics, 01 natural sciences, Magnetic flux, Electronic, Optical and Magnetic Materials, Magnetic field, chemistry.chemical_compound, chemistry, Condensed Matter::Superconductivity, 0103 physical sciences, Grain boundary, Electrical and Electronic Engineering, 010306 general physics, Voltage
Abstract: In order to obtain experimental evidence for the influence of flux focusing effect on the characteristics of planar grain boundary (GB) Josephson junctions, we measured the current–voltage characteristics and magnetic-field-dependent current–voltage steps of integrated YBa2Cu3O7- δ bicrystal GB Junctions with different junction widths. Under the self-magnetic field, the critical current of the GB junction is proportional to the square root of the junction width, which is different from the traditional linear relationship between the critical current and the junction width. When a vertical magnetic field is applied, the flux flow current–voltage step could be observed, and the step voltage increases monotonously with an increase in the junction width. When a magnetic field rotating in the bc plane is applied, the voltage value of the flux flow step decreases slowly as the magnetic field inclined angle increases when the field inclined angle is relatively large. Based on these results, we demonstrate the presence of the magnetic flux focusing effect on YBa2Cu3O7- δ GB Josephson junctions. The size of flux focusing in the GB is closely associated with the width of the junctions and the orientation of the magnetic field.
Published: 2020

177. Delayed Concentration Quenching of Luminescence Caused by Eu3+-Induced Phase Transition in LaSc3(BO3)4

Author: Jianxin Shi, Nan Yang, Dawei Wen, Qiongyun Liang, Jianbang Zhou, Junhao Li, Ziwang Zhang, and Jing Yan
Subjects: Phase transition, Materials science, General Chemical Engineering, Phosphor, 02 engineering and technology, General Chemistry, 010402 general chemistry, 021001 nanoscience & nanotechnology, Photochemistry, 01 natural sciences, 0104 chemical sciences, Activator (phosphor), Materials Chemistry, Concentration quenching, 0210 nano-technology, Luminescence
Abstract: Phase transitions induced by activator concentration should be avoided in most cases because they usually degrade luminescent properties of inorganic phosphors. However, in the LaSc3(BO3)4:xEu3+ (L...
Published: 2020

178. ATP-Binding Cassette G Transporters SGE1 and MtABCG13 Control Stigma Exsertion

Author: Jianxin Shi, Lifang Niu, Yingying Meng, Hui Li, Yanxi Pei, Lulu Li, Na Wang, Hao Lin, Min Lin, Xiuzhi Xia, and Butuo Zhu
Subjects: 0106 biological sciences, Genetics, Physiology, Quantitative Trait Loci, fungi, Mutant, Stamen, food and beverages, ATP-binding cassette transporter, Flowers, Plant Science, Cutin, Biology, Quantitative trait locus, biology.organism_classification, 01 natural sciences, Medicago truncatula, Stigma (anatomy), Phenotype, ATP-Binding Cassette Transporters, Petal, Research Articles, 010606 plant biology & botany
Abstract: Stigma exsertion is an important agricultural trait that facilitates the application of heterosis in crop breeding. Although several quantitative trait loci associated with stigma exsertion have been fine-mapped or cloned, the underlying genetic basis, particularly in legumes, remains unclear. In this study, we identified and characterized the exserted stigma mutant stigma exsertion1 (sge1) in the model legume Medicago truncatula. The exserted stigma phenotype of sge1 is mainly caused by physical interaction between floral organs, in which normal petal and stamen elongation are inhibited due to flower cuticle defects. SGE1 encodes an ATP-binding cassette G (ABCG) transporter that plays a critical role in regulating floral cutin and wax secretion in M. truncatula. SGE1 physically interacts with another half-size transporter, MtABCG13, to form a functional heterodimer. Mutation of MtABCG13 results in flower cuticle defects similar to those in sge1 as well as stigma exsertion, indicating that SGE1 and MtABCG13 are indispensable for flower cuticle secretion and collaboratively control stigma exsertion in M. truncatula. Our findings reveal novel functions for ABCG transporters in determining stigma exsertion by affecting the physical interactions of floral organs, providing insight into the molecular mechanism underlying stigma exsertion in leguminous plants with complex zygomorphic flowers.
Published: 2020

179. Arabidopsis FAX1 mediated fatty acid export is required for the transcriptional regulation of anther development and pollen wall formation

Author: YanYan Liu, Lu Zhu, Jianxin Shi, Jie Xu, and Siyang He
Subjects: 0106 biological sciences, 0301 basic medicine, Sterility, Arabidopsis, Flowers, Plant Science, 01 natural sciences, 03 medical and health sciences, Transcription (biology), Genetics, Transcriptional regulation, Gene Regulatory Networks, chemistry.chemical_classification, Reactive oxygen species, Tapetum, biology, Arabidopsis Proteins, Reproduction, Fatty Acids, Membrane Proteins, Fatty acid, General Medicine, biology.organism_classification, Cell biology, Phenotype, 030104 developmental biology, chemistry, Mutation, Pollen, Agronomy and Crop Science, Homeostasis, Transcription Factors, 010606 plant biology & botany
Abstract: The mutation of FAX1 (Fatty Acid Export 1) disrupts ROS homeostasis and suppresses transcription activity of DYT1-TDF1-AMS-MS188 genetic network, leading to atypical tapetum PCD and defective pollen formation in Arabidopsis. Fatty acids (FAs) have multiple important biological functions and exert diverse cellular effects through modulating Reactive Oxygen Species (ROS) homeostasis. Arabidopsis FAX1 (Fatty Acid Export 1) mediates the export of de novo synthesized FA from chloroplast and loss of function of FAX1 impairs male fertility. However, mechanisms underlying the association of FAX1-mediated FA export with male sterility remain enigmatic. In this study, by using an integrated approach that included morphological, cytological, histological, and molecular analyses, we revealed that loss of function of FAX1 breaks cellular FA/lipid homeostasis, which disrupts ROS homeostasis and suppresses transcriptional activation of the DYT1-TDF1-AMS-MS188 genetic network of anther development, impairing tapetum development and pollen wall formation, and resulting in male sterility. This study provides new insights into the regulatory network for male reproduction in plants, highlighting an important role of FA export-mediated ROS homeostasis in the process.
Published: 2020

180. Overexpression of a novel cytochrome P450 monooxygenase gene, CYP704B1, from Panax ginseng increase biomass of reproductive tissues in transgenic Arabidopsis

Author: Johan Sukweenadhi, Deok-Chun Yang, Padmanaban Mohanan, Junping Yu, Ki-Hong Jung, Dabing Zhang, Jeniffer Silva, Yu-Jin Kim, Davaajargal Myagmarjav, and Jianxin Shi
Subjects: 0301 basic medicine, chemistry.chemical_classification, Tapetum, biology, Stamen, food and beverages, Fatty acid, General Medicine, Cutin, Monooxygenase, biology.organism_classification, 03 medical and health sciences, Ginseng, 030104 developmental biology, 0302 clinical medicine, chemistry, 030220 oncology & carcinogenesis, Arabidopsis, Botany, Genetics, Silique, Molecular Biology
Abstract: Cytochrome P450 monooxygenase 704B (CYP704B), a member of the CYP86 clan, was found to be needed in Arabidopsis and rice to biosynthesize precursors of sporopollenin through oxidizing fatty acids. In the present study, we cloned and characterized a CYP704B gene in Panax ginseng, named PgCYP704B1. It shared high sequence identity (98-99%) with CYP704 of Arabidopsis, Theobroma cacao, and Morus notabilis. The phylogenetic comparison of ginseng and higher plants between the members of CYP86 clan revealed that ginseng CYP704 was categorized as a group of CYP704B with dicot plants. The expression of PgCYP704B1 is low in the stem, leaf, and fruit, and high in flower buds, particularly detected in the young gametic cell and tapetum layer of the developing anther. Arabidopsis plants overexpressing PgCYP704B1 improved plant biomass such as plant height, siliques and seed number and size. A cytological observation by transverse and longitudinal semi-thin sections of the siliques cuticles revealed that the cell length increased. Furthermore a chemical analysis showed that PgCYP704B1ox lines increased their cutin monomers contents in the siliques. Our results suggest that PgCYP704B1 has a conserved role during male reproduction for fatty acid biosynthesis and its overexpression increases cutin monomers in siliques that eventually could be used for seed production.
Published: 2020

181. Genetic and epigenetic intratumor heterogeneity impacts prognosis of lung adenocarcinoma

Author: Neil E. Caporaso, Bin Zhu, Dario Consonni, Lei Song, David C. Wedge, Angela Cecilia Pesatori, Joshua Sampson, Tongwu Zhang, Jianxin Shi, Belynda Hicks, Mingyi Wang, Xing Hua, Kristine Jones, Maria Teresa Landi, and Wei Zhao
Subjects: 0301 basic medicine, Male, Lung Neoplasms, General Physics and Astronomy, Kaplan-Meier Estimate, SCNA, Epigenesis, Genetic, 0302 clinical medicine, Cancer genomics, lcsh:Science, Aged, 80 and over, Multidisciplinary, Manchester Cancer Research Centre, Methylation, Middle Aged, Treatment Outcome, 030220 oncology & carcinogenesis, DNA methylation, Adenocarcinoma, Female, Lung cancer, DNA Copy Number Variations, Tumour heterogeneity, Science, Adenocarcinoma of Lung, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, Evolution, Molecular, 03 medical and health sciences, Genetic Heterogeneity, medicine, Humans, Epigenetics, Aged, Genetic heterogeneity, Point mutation, ResearchInstitutes_Networks_Beacons/mcrc, Cancer, General Chemistry, DNA Methylation, medicine.disease, 030104 developmental biology, Mutation, Cancer research, lcsh:Q, CpG Islands
Abstract: Intratumor heterogeneity (ITH) of genomic alterations may impact prognosis of lung adenocarcinoma (LUAD). Here, we investigate ITH of somatic copy number alterations (SCNAs), DNA methylation, and point mutations in lung cancer driver genes in 292 tumor samples from 84 patients with LUAD. LUAD samples show substantial SCNA and methylation ITH, and clonal architecture analyses present congruent evolutionary trajectories for SCNAs and DNA methylation aberrations. Methylation ITH mapping to gene promoter areas or tumor suppressor genes is low. Moreover, ITH composed of genetic and epigenetic mechanisms altering the same cancer driver genes is shown in several tumors. To quantify ITH for valid statistical association analyses, we develope an average pairwise ITH index (APITH), which does not depend on the number of samples per tumor. Both APITH indexes for SCNAs and methylation aberrations show significant associations with poor prognosis. This study further establishes the important clinical implications of genetic and epigenetic ITH in LUAD., Many tumors are known to be heterogeneous. Here, the authors examined multiple samples from 84 patients with lung adenocarcinoma and demonstrate that the intratumor heterogeneity of methylation and copy number associates with poor prognosis.
Published: 2020

182. Minimal phenotyping yields genome-wide association signals of low specificity for major depression

Author: Till F. M. Andlauer, Glyn Lewis, Brenda W.J.H. Penninx, Toni-Kim Clarke, Douglas F. Levinson, Alexander Viktorin, Kenneth S. Kendler, Yuri Milaneschi, Giorgio Pistis, Nicholas G. Martin, Jordan W. Smoller, Bertram Müller-Myhsok, Mark Adams, Myrna M. Weissman, Andreas J. Forstner, Enda M. Byrne, Hans J. Grabe, Roy H. Perlis, Ole Mors, James B. Potash, Jonathan Flint, Steven P. Hamilton, Jianxin Shi, Rudolf Uher, Joana A. Revez, Sandra Van der Auwera, Fabien Streit, Na Cai, Gerome Breen, Cathryn M. Lewis, Henning Tiemeier, Martin Preisig, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, APH - Digital Health, Child and Adolescent Psychiatry / Psychology, and Epidemiology
Subjects: Adult, Male, Multifactorial Inheritance, Bipolar Disorder, Genotype, Genome-wide association study, Computational biology, Disease, Biology, Polymorphism, Single Nucleotide, Sensitivity and Specificity, behavioral disciplines and activities, Genome, Article, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, mental disorders, Genetics, medicine, Humans, Genetic Predisposition to Disease, Aged, 030304 developmental biology, Genetic association, Depressive Disorder, Major, 0303 health sciences, Middle Aged, Heritability, medicine.disease, Genetic architecture, Phenotype, Major depressive disorder, Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Minimal phenotyping refers to the reliance on the use of a small number of self-reported items for disease case identification, increasingly used in genome-wide association studies (GWAS). Here we report differences in genetic architecture between depression defined by minimal phenotyping and strictly defined major depressive disorder (MDD): the former has a lower genotype-derived heritability that cannot be explained by inclusion of milder cases and a higher proportion of the genome contributing to this shared genetic liability with other conditions than for strictly defined MDD. GWAS based on minimal phenotyping definitions preferentially identifies loci that are not specific to MDD, and, although it generates highly predictive polygenic risk scores, the predictive power can be explained entirely by large sample sizes rather than by specificity for MDD. Our results show that reliance on results from minimal phenotyping may bias views of the genetic architecture of MDD and impede the ability to identify pathways specific to MDD.Genetic analyses of depression based on minimal phenotyping identify nonspecific genetic risk factors shared between major depressive disorder (MDD) and other psychiatric conditions, suggesting that this approach may have limited ability to identify pathways specific to MDD.
Published: 2020

183. Tuberculosis infection and lung adenocarcinoma: Mendelian randomization and pathway analysis of genome-wide association study data from never-smoking Asian women

Author: Jason Y.Y. Wong, Han Zhang, Chao A. Hsiung, Kouya Shiraishi, Kai Yu, Keitaro Matsuo, Maria Pik Wong, Yun-Chul Hong, Jiucun Wang, Wei Jie Seow, Zhaoming Wang, Minsun Song, Hee Nam Kim, I-Shou Chang, Nilanjan Chatterjee, Wei Hu, Chen Wu, Tetsuya Mitsudomi, Wei Zheng, Jin Hee Kim, Adeline Seow, Neil E. Caporaso, Min-Ho Shin, Lap Ping Chung, She-Juan An, Ping Wang, Yang Yang, Hong Zheng, Yasushi Yatabe, Xu-Chao Zhang, Young Tae Kim, Qiuyin Cai, Zhihua Yin, Young-Chul Kim, Bryan A. Bassig, Jiang Chang, James Chung Man Ho, Bu-Tian Ji, Yataro Daigo, Hidemi Ito, Yukihide Momozawa, Kyota Ashikawa, Yoichiro Kamatani, Takayuki Honda, H. Dean Hosgood, Hiromi Sakamoto, Hideo Kunitoh, Koji Tsuta, Shun-ichi Watanabe, Michiaki Kubo, Yohei Miyagi, Haruhiko Nakayama, Shingo Matsumoto, Masahiro Tsuboi, Koichi Goto, Jianxin Shi, Lei Song, Xing Hua, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Kimihiro Shimizu, Kazumi Tanaka, Fusheng Wei, Fumihiko Matsuda, Jian Su, Yeul Hong Kim, In-Jae Oh, Fengju Song, Wu-Chou Su, Yu-Min Chen, Gee-Chen Chang, Kuan-Yu Chen, Ming-Shyan Huang, Li-Hsin Chien, Yong-Bing Xiang, Jae Yong Park, Sun-Seog Kweon, Chien-Jen Chen, Kyoung-Mu Lee, Batel Blechter, Haixin Li, Yu-Tang Gao, Biyun Qian, Daru Lu, Jianjun Liu, Hyo-Sung Jeon, Chin-Fu Hsiao, Jae Sook Sung, Ying-Huang Tsai, Yoo Jin Jung, Huan Guo, Zhibin Hu, Wen-Chang Wang, Charles C. Chung, Laurie Burdett, Meredith Yeager, Amy Hutchinson, Sonja I. Berndt, Wei Wu, Herbert Pang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Li Liu, C.H. Kang, Meng Zhu, Chung-Hsing Chen, Tsung-Ying Yang, Jun Xu, Peng Guan, Wen Tan, Chih-Liang Wang, Michael Hsin, Ko-Yung Sit, James Ho, Ying Chen, Yi Young Choi, Jen-Yu Hung, Jun Suk Kim, Ho Il Yoon, Chien-Chung Lin, In Kyu Park, Ping Xu, Yuzhuo Wang, Qincheng He, Reury-Perng Perng, Chih-Yi Chen, Roel Vermeulen, Junjie Wu, Wei-Yen Lim, Kun-Chieh Chen, Yao-Jen Li, Jihua Li, Hongyan Chen, Chong-Jen Yu, Li Jin, Tzu-Yu Chen, Shih-Sheng Jiang, Jie Liu, Taiki Yamaji, Belynda Hicks, Kathleen Wyatt, Shengchao A. Li, Juncheng Dai, Hongxia Ma, Guangfu Jin, Bao Song, Zhehai Wang, Sensen Cheng, Xuelian Li, Yangwu Ren, Ping Cui, Motoki Iwasaki, Taichi Shimazu, Shoichiro Tsugane, Junjie Zhu, Kaiyun Yang, Gening Jiang, Ke Fei, Guoping Wu, Hsien-Chin Lin, Hui-Ling Chen, Yao-Huei Fang, Fang-Yu Tsai, Wan-Shan Hsieh, Jinming Yu, Victoria L. Stevens, Ite A. Laird-Offringa, Crystal N. Marconett, Linda Rieswijk, Ann Chao, Pan-Chyr Yang, Xiao-Ou Shu, Tangchun Wu, Y.L. Wu, Dongxin Lin, Kexin Chen, Baosen Zhou, Yun-Chao Huang, Takashi Kohno, Hongbing Shen, Stephen J. Chanock, Nathaniel Rothman, Qing Lan, RS: FSE DACS IDS, and Institute of Data Science
Subjects: Lung adenocarcinoma, 0106 biological sciences, Oncology, medicine.medical_specialty, Lung Neoplasms, Tuberculosis, Pathway analysis, PULMONARY TUBERCULOSIS, Adenocarcinoma of Lung, Genome-wide association study, VARIANTS, Biology, 01 natural sciences, Article, DISEASE, CANCER SUSCEPTIBILITY LOCI, 03 medical and health sciences, Asian People, Internal medicine, Mendelian randomization, Genetics, medicine, Genetic predisposition, Humans, Risk factor, Lung cancer, Tuberculosis, Pulmonary, 030304 developmental biology, RISK, 0303 health sciences, Lung, MEN, Non-Smokers, Mendelian Randomization Analysis, medicine.disease, APOPTOSIS, medicine.anatomical_structure, Adenocarcinoma, Female, Genome-Wide Association Study, SMOKERS, 010606 plant biology & botany
Abstract: We investigated whether genetic susceptibility to tuberculosis (TB) influences lung adenocarcinoma development among never-smokers using TB genome-wide association study (GWAS) results within the Female Lung Cancer Consortium in Asia. Pathway analysis with the adaptive rank truncated product method was used to assess the association between a TB-related gene-set and lung adenocarcinoma using GWAS data from 5512 lung adenocarcinoma cases and 6277 controls. The gene-set consisted of 31 genes containing known/suggestive associations with genetic variants from previous TB-GWAS. Subsequently, we followed-up with Mendelian Randomization to evaluate the association between TB and lung adenocarcinoma using three genome-wide significant variants from previous TB-GWAS in East Asians. The TB-related gene-set was associated with lung adenocarcinoma (p = 0.016). Additionally, the Mendelian Randomization showed an association between TB and lung adenocarcinoma (OR = 1.31, 95% CI: 1.03, 1.66, p = 0.027). Our findings support TB as a causal risk factor for lung cancer development among never-smoking Asian women.
Published: 2020

184. Oral microbial community composition is associated with pancreatic cancer: A case‐control study in Iran

Author: Christian C. Abnet, Amy Hutchinson, Xing Hua, Emily Vogtmann, Yongli Han, Alireza Moayyedkazemi, Farin Kamangar, Jianxin Shi, Belynda Hicks, Yunhu Wan, Kristine Jones, Reza Malekzadeh, Nicholas A. Bokulich, Shalabh Suman, J. Gregory Caporaso, Casey L. Dagnall, Akram Pourshams, Ashraf Mohamadkhani, and Bin Zhu
Subjects: 0301 basic medicine, Male, Cancer Research, medicine.medical_specialty, Pancreatic disease, pancreatic cancer, Disease, Adenocarcinoma, Iran, lcsh:RC254-282, 03 medical and health sciences, Gingivitis, 0302 clinical medicine, Internal medicine, Pancreatic cancer, medicine, microbiota, Case‐control study, Microbiota, Humans, Radiology, Nuclear Medicine and imaging, Prospective cohort study, Original Research, Aged, Aged, 80 and over, business.industry, case‐control study, Mouth Mucosa, Middle Aged, medicine.disease, Prognosis, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, 3. Good health, Pancreatic Neoplasms, 030104 developmental biology, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, Case-Control Studies, Population study, Female, medicine.symptom, business, Pancreas, Cancer Prevention, Follow-Up Studies
Abstract: Background Oral microbiota may be related to pancreatic cancer risk because periodontal disease, a condition linked to multiple specific microbes, has been associated with increased risk of pancreatic cancer. We evaluated the association between oral microbiota and pancreatic cancer in Iran. Methods A total of 273 pancreatic adenocarcinoma cases and 285 controls recruited from tertiary hospitals and a specialty clinic in Tehran, Iran provided saliva samples and filled out a questionnaire regarding demographics and lifestyle characteristics. DNA was extracted from saliva and the V4 region of the 16S rRNA gene was PCR amplified and sequenced on the MiSeq. The sequencing data were processed using the DADA2 plugin in QIIME 2 and taxonomy was assigned against the Human Oral Microbiome Database. Logistic regression and MiRKAT models were calculated with adjustment for potential confounders. Results No association was observed for alpha diversity with an average of 91.11 (standard deviation [SD] 2.59) sequence variants for cases and 89.42 (SD 2.58) for controls. However, there was evidence for an association between beta diversity and case status. The association between the Bray‐Curtis dissimilarity and pancreatic cancer was particularly strong with a MiRKAT P‐value of .000142 and specific principal coordinate vectors had strong associations with cancer risk. Several specific taxa were also associated with case status after adjustment for multiple comparisons. Conclusion The overall microbial community appeared to differ between pancreatic cancer cases and controls. Whether these reflect differences evident before development of pancreatic cancer will need to be evaluated in prospective studies., Specific microbial taxa and periodontal pathogens have been found to be associated with pancreatic cancer in Western populations. In a case‐control study in Iran, we found distinct microbial communities in pancreatic cancer cases and controls in addition to associations with particular microbial taxa.
Published: 2020

185. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Author: Gabriëlla A.M. Blokland, Jakob Grove, Chia-Yen Chen, Chris Cotsapas, Stuart Tobet, Robert Handa, David St Clair, Todd Lencz, Bryan J. Mowry, Sathish Periyasamy, Murray J. Cairns, Paul A. Tooney, Jing Qin Wu, Brian Kelly, George Kirov, Patrick F. Sullivan, Aiden Corvin, Brien P. Riley, Tõnu Esko, Lili Milani, Erik G. Jönsson, Aarno Palotie, Hannelore Ehrenreich, Martin Begemann, Agnes Steixner-Kumar, Pak C. Sham, Nakao Iwata, Daniel R. Weinberger, Pablo V. Gejman, Alan R. Sanders, Joseph D. Buxbaum, Dan Rujescu, Ina Giegling, Bettina Konte, Annette M. Hartmann, Elvira Bramon, Robin M. Murray, Michele T. Pato, Jimmy Lee, Ingrid Melle, Espen Molden, Roel A. Ophoff, Andrew McQuillin, Nicholas J. Bass, Rolf Adolfsson, Anil K. Malhotra, Nicholas G. Martin, Janice M. Fullerton, Philip B. Mitchell, Peter R. Schofield, Andreas J. Forstner, Franziska Degenhardt, Sabrina Schaupp, Ashley L. Comes, Manolis Kogevinas, José Guzman-Parra, Andreas Reif, Fabian Streit, Lea Sirignano, Sven Cichon, Maria Grigoroiu-Serbanescu, Joanna Hauser, Jolanta Lissowska, Fermin Mayoral, Bertram Müller-Myhsok, Beata Świątkowska, Thomas G. Schulze, Markus M. Nöthen, Marcella Rietschel, John Kelsoe, Marion Leboyer, Stéphane Jamain, Bruno Etain, Frank Bellivier, John B. Vincent, Martin Alda, Claire O’Donovan, Pablo Cervantes, Joanna M. Biernacka, Mark Frye, Susan L. McElroy, Laura J. Scott, Eli A. Stahl, Mikael Landén, Marian L. Hamshere, Olav B. Smeland, Srdjan Djurovic, Arne E. Vaaler, Ole A. Andreassen, Bernhard T. Baune, Tracy Air, Martin Preisig, Rudolf Uher, Douglas F. Levinson, Myrna M. Weissman, James B. Potash, Jianxin Shi, James A. Knowles, Roy H. Perlis, Susanne Lucae, Dorret I. Boomsma, Brenda W.J.H. Penninx, Jouke-Jan Hottenga, Eco J.C. de Geus, Gonneke Willemsen, Yuri Milaneschi, Henning Tiemeier, Hans J. Grabe, Alexander Teumer, Sandra Van der Auwera, Uwe Völker, Steven P. Hamilton, Patrik K.E. Magnusson, Alexander Viktorin, Divya Mehta, Niamh Mullins, Mark J. Adams, Gerome Breen, Andrew M. McIntosh, Cathryn M. Lewis, David M. Hougaard, Merete Nordentoft, Ole Mors, Preben B. Mortensen, Thomas Werge, Thomas D. Als, Anders D. Børglum, Tracey L. Petryshen, Jordan W. Smoller, Jill M. Goldstein, Stephan Ripke, Benjamin M. Neale, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberly D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chen, Eric Y.H. Chen, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee Chee Keong, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Sandra Meier, Carin J. Meijer, Bela Melegh, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Vihra Milanova, Younes Mokrab, Derek W. Morris, Kieran C. Murphy, Inez Myin-Germeys, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O’Callaghan, Colm O’Dushlaine, F. Anthony O’Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Ulrich Schall, Christian R. Schubert, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Hon-Cheong So, Chris C.A. Spencer, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T. Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Douglas H.R. Blackwood, Ariel Darvasi, Enrico Domenici, Michael Gill, Hugh Gurling, Christina M. Hultman, Assen V. Jablensky, Kenneth S. Kendler, Jo Knight, Qingqin S. Li, Jianjun Liu, Steven A. McCarroll, Jennifer L. Moran, Michael J. Owen, Carlos N. Pato, Danielle Posthuma, Pamela Sklar, Jens R. Wendland, Mark J. Daly, Michael C. O’Donovan, Peter Donnelly, Ines Barroso, Jenefer M. Blackwell, Matthew A. Brown, Juan P. Casas, Panos Deloukas, Audrey Duncanson, Janusz Jankowski, Hugh S. Markus, Christopher G. Mathew, Colin N.A. Palmer, Robert Plomin, Anna Rautanen, Stephen J. Sawcer, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Gavin Band, Céline Bellenguez, Colin Freeman, Eleni Giannoulatou, Garrett Hellenthal, Richard Pearson, Matti Pirinen, Amy Strange, Zhan Su, Damjan Vukcevic, Cordelia Langford, Hannah Blackburn, Suzannah J. Bumpstead, Serge Dronov, Sarah Edkins, Matthew Gillman, Emma Gray, Rhian Gwilliam, Naomi Hammond, Sarah E. Hunt, Alagurevathi Jayakumar, Jennifer Liddle, Owen T. McCann, Simon C. Potter, Radhi Ravindrarajah, Michelle Ricketts, Avazeh Tashakkori-Ghanbaria, Matthew Waller, Paul Weston, Pamela Whittaker, Sara Widaa, Mark I. McCarthy, Maria J. Arranz, Steven Bakker, Stephan Bender, Benedicto Crespo-Facorro, Jeremy Hall, Conrad Iyegbe, Stephen Lawrie, Kuang Lin, Don H. Linszen, Ignacio Mata, Muriel Walshe, Matthias Weisbrod, Durk Wiersma, Vassily Trubetskoy, Yunpeng Wang, Jonathan R.I. Coleman, Héléna A. Gaspar, Christiaan A. de Leeuw, Jennifer M. Whitehead Pavlides, Maciej Trzaskowski, Enda M. Byrne, Liam Abbott, Huda Akil, Diego Albani, Ney Alliey-Rodriguez, Adebayo Anjorin, Verneri Antilla, Swapnil Awasthi, Judith A. Badner, Marie Bækvad-Hansen, Jack D. Barchas, Nicholas Bass, Michael Bauer, Richard Belliveau, Carsten Bøcker Pedersen, Erlend Bøen, Marco P. Boks, James Boocock, Monika Budde, William Bunney, Margit Burmeister, Jonas Bybjerg-Grauholm, Miquel Casas, Felecia Cerrato, Kimberly Chambert, Alexander W. Charney, Danfeng Chen, Claire Churchhouse, Toni-Kim Clarke, William Coryell, David W. Craig, Cristiana Cruceanu, Piotr M. Czerski, Anders M. Dale, Simone de Jong, Jurgen Del-Favero, J. Raymond DePaulo, Amanda L. Dobbyn, Ashley Dumont, Torbjørn Elvsåshagen, Chun Chieh Fan, Sascha B. Fischer, Matthew Flickinger, Tatiana M. Foroud, Liz Forty, Christine Fraser, Katrin Gade, Diane Gage, Julie Garnham, Claudia Giambartolomei, Marianne Giørtz Pedersen, Jaqueline Goldstein, Scott D. Gordon, Katherine Gordon-Smith, Elaine K. Green, Melissa J. Green, Tiffany A. Greenwood, Weihua Guan, Martin Hautzinger, Urs Heilbronner, Maria Hipolito, Dominic Holland, Laura Huckins, Jessica S. Johnson, Radhika Kandaswamy, Robert Karlsson, Sarah Kittel-Schneider, Anna C. Koller, Ralph Kupka, Catharina Lavebratt, Jacob Lawrence, William B. Lawson, Markus Leber, Phil H. Lee, Shawn E. Levy, Jun Z. Li, Chunyu Liu, Anna Maaser, Donald J. MacIntyre, Pamela B. Mahon, Lina Martinsson, Steve McCarroll, Peter McGuffin, Melvin G. McInnis, James D. McKay, Helena Medeiros, Sarah E. Medland, Fan Meng, Grant W. Montgomery, Thomas W. Mühleisen, Hoang Nguyen, Caroline M. Nievergelt, Annelie Nordin Adolfsson, Evaristus A. Nwulia, Claire O'Donovan, Loes M. Olde Loohuis, Anil P.S. Ori, Lilijana Oruc, Urban Ösby, Amy Perry, Andrea Pfennig, Eline J. Regeer, Céline S. Reinbold, John P. Rice, Fabio Rivas, Margarita Rivera, Euijung Ryu, Cristina Sánchez-Mora, Alan F. Schatzberg, William A. Scheftner, Nicholas J. Schork, Cynthia Shannon Weickert, Tatyana Shehktman, Paul D. Shilling, Claire Slaney, Janet L. Sobell, Christine Søholm Hansen, Anne T. Spijker, Michael Steffens, John S. Strauss, Szabolcs Szelinger, Robert C. Thompson, Thorgeir E. Thorgeirsson, Jens Treutlein, Helmut Vedder, Weiqing Wang, Stanley J. Watson, Thomas W. Weickert, Simon Xi, Wei Xu, Allan H. Young, Peter Zandi, Peng Zhang, Sebastian Zöllner, Abdel Abdellaoui, Tracy M. Air, Till F.M. Andlauer, Silviu-Alin Bacanu, Aartjan T.F. Beekman, Elisabeth B. Binder, Julien Bryois, Henriette N. Buttenschøn, Na Cai, Enrique Castelao, Jane Hvarregaard Christensen, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Gregory E. Crawford, Gail Davies, Ian J. Deary, Eske M. Derks, Nese Direk, Conor V. Dolan, Erin C. Dunn, Thalia C. Eley, Farnush Farhadi Hassan Kiadeh, Hilary K. Finucane, Jerome C. Foo, Fernando S. Goes, Lynsey S. Hall, Thomas F. Hansen, Ian B. Hickie, Georg Homuth, Carsten Horn, David M. Howard, Marcus Ising, Rick Jansen, Ian Jones, Lisa A. Jones, Eric Jorgenson, Isaac S. Kohane, Julia Kraft, Warren W. Kretzschmar, Zoltán Kutalik, Yihan Li, Penelope A. Lind, Dean F. MacKinnon, Robert M. Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Christel M. Middeldorp, Evelin Mihailov, Francis M. Mondimore, Sara Mostafavi, Matthias Nauck, Bernard Ng, Michel G. Nivard, Dale R. Nyholt, Paul F. O'Reilly, Hogni Oskarsson, Jodie N. Painter, Roseann E. Peterson, Wouter J. Peyrot, Giorgio Pistis, Jorge A. Quiroz, Per Qvist, Saira Saeed Mirza, Robert Schoevers, Eva C. Schulte, Ling Shen, Stanley I. Shyn, Grant C.B. Sinnamon, Johannes H. Smit, Daniel J. Smith, Katherine E. Tansey, Henning Teismann, Wesley Thompson, Pippa A. Thomson, Matthew Traylor, André G. Uitterlinden, Daniel Umbricht, Albert M. van Hemert, Shantel Marie Weinsheimer, Jürgen Wellmann, Yang Wu, Hualin S. Xi, Jian Yang, Futao Zhang, Volker Arolt, Klaus Berger, Udo Dannlowski, Katharina Domschke, Caroline Hayward, Andrew C. Heath, Stefan Kloiber, Glyn Lewis, Pamela AF. Madden, Patrik K. Magnusson, Preben Bo Mortensen, Michael C. O'Donovan, Sara A. Paciga, Nancy L. Pedersen, David J. Porteous, Catherine Schaefer, Henry Völzke, Marco Bortolato, Janita Bralten, Cynthia M. Bulik, Christie L. Burton, Caitlin E. Carey, Lea K. Davis, Laramie E. Duncan, Howard J. Edenberg, Lauren Erdman, Stephen V. Faraone, Slavina B. Goleva, Wei Guo, Christopher Hübel, Laura M. Huckins, Ekaterina A. Khramtsova, Joanna Martin, Carol A. Mathews, Elise Robinson, Eli Stahl, Barbara E. Stranger, Michela Traglia, Raymond K. Walters, Lauren A. Weiss, Stacey J. Winham, Yin Yao, Kristjar Skajaa, Markus Nöthen, Michael Owen, Robert H. Yolken, Niels Plath, Jonathan Mill, Daniel Geschwind, Psychiatry 1, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Functional Genomics, Biological Psychology, APH - Mental Health, APH - Methodology, Sociology and Social Gerontology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Blokland, Gabriella AM, Grove, Jakob, Chen, Chia Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Lee, Sang Hong, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Complex Trait Genetics, and ANS - Mood, Anxiety, Psychosis, Stress & Sleep
Subjects: 0301 basic medicine, Male, Bipolar Disorder, Schizophrenia/genetics, LD SCORE REGRESSION, Genome-wide association study, 0302 clinical medicine, Receptors, SCHIZOPHRENIA, Psychotic Disorders/genetics, KYNURENINE PATHWAY METABOLISM, Genetics, RISK, Sex Characteristics, Vascular Endothelial Growth Factor, Bipolar Disorder/genetics, Major/genetics, Single Nucleotide, AFFECTIVE STIMULI IMPACT, Schizophrenia, Sulfurtransferases, Major depressive disorder, Female, Depressive Disorder, Major/genetics, Bipolar disorder, Locus (genetics), Genomics, Biology, Polymorphism, Single Nucleotide, Article, DYSPHORIC MOOD, 03 medical and health sciences, Sex differences, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Polymorphism, GENOME-WIDE ASSOCIATION, Genotype-by-sex interaction, Biological Psychiatry, Depressive Disorder, Major, Depressive Disorder, GENDER-DIFFERENCES, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], PARAVENTRICULAR NUCLEUS, 3112 Neurosciences, Endothelial Cells, MAJOR DEPRESSION, medicine.disease, Genetic architecture, 030104 developmental biology, Mood, Receptors, Vascular Endothelial Growth Factor, Psychotic Disorders, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Contains fulltext : 248656.pdf (Publisher’s version ) (Closed access) BACKGROUND: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS: Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10(-8)), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10(-6)) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10(-7); rs73033497, p = 8.8 × 10(-7); rs7914279, p = 6.4 × 10(-7)), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10(-7)) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10(-7)), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10(-7)) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
Published: 2022

186. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Author: Andreas J. Forstner, Martin Alda, Manolis Kogevinas, Pak C. Sham, Patrick F. Sullivan, Michele T. Pato, John R. Kelsoe, Paul A. Tooney, Steven P. Hamilton, Dorret I. Boomsma, Gerome Breen, Tracy Air, Hannelore Ehrenreich, Nakao Iwata, Jill M. Goldstein, Olav B. Smeland, Daniel R. Weinberger, Andrew McQuillin, Stuart A. Tobet, Elvira Bramon, Gabriëlla A.M. Blokland, Jing Qin Wu, Erik G. Jönsson, Peter R. Schofield, Fabian Streit, Nicholas Bass, Aarno Palotie, Brian Kelly, Cathryn M. Lewis, Srdjan Djurovic, Thomas Damm Als, Chia-Yen Chen, Bettina Konte, Joanna Hauser, Claire O'Donovan, Laura J. Scott, Hans J. Grabe, Murray J. Cairns, Rudolf Uher, Pablo Cervantes, Nicholas G. Martin, James A. Knowles, Aiden Corvin, Espen Molden, Lili Milani, Andreas Reif, Maria Grigoroiu-Serbanescu, George Kirov, Yuri Milaneschi, David St Clair, Eco J. C. de Geus, Robert Handa, Tõnu Esko, Alexander Teumer, Anders D. Børglum, Divya Mehta, Roel A. Ophoff, Susanne Lucae, Henning Tiemeier, Marion Leboyer, Ina Giegling, Alan R. Sanders, Jouke-Jan Hottenga, Pablo V. Gejman, Bernhard T. Baune, Brenda W.J.H. Penninx, Chris Cotsapas, Martin Preisig, Thomas Werge, Jakob Grove, Ingrid Melle, Jordan W. Smoller, Marcella Rietschel, Myrna M. Weissman, Preben Bo Mortensen, Philip B. Mitchell, Jolanta Lissowska, Andrew M. McIntosh, Annette M. Hartmann, Ole A. Andreassen, Lea Sirignano, John B. Vincent, Niamh Mullins, Jimmy Lee, Gonneke Willemsen, Marian L. Hamshere, Rolf Adolfsson, Mark A. Frye, Markus M. Nöthen, Jianxin Shi, Ashley L. Comes, Robin M. Murray, Patrik K. E. Magnusson, Frank Bellivier, Stéphane Jamain, Ole Mors, Sven Cichon, Uwe Völker, Fermín Mayoral, Bryan J. Mowry, Bruno Etain, James B. Potash, Beata Świątkowska, Bertram Müller-Myhsok, Mikael Landén, Tracey L. Petryshen, Franziska Degenhardt, Mark Adams, Dan Rujescu, Jose Guzman-Parra, Thomas G. Schulze, Merete Nordentoft, Joseph D. Buxbaum, Janice M. Fullerton, Brien P. Riley, Roy H. Perlis, Arne E. Vaaler, David M. Hougaard, Eli A. Stahl, Susan L. McElroy, Sabrina K. Schaupp, Martin Begemann, Sandra Van der Auwera, Todd Lencz, Joanna M. Biernacka, Agnes A. Steixner-Kumar, Douglas F. Levinson, Sathish Periyasamy, Alexander Viktorin, and Anil K. Malhotra
Subjects: Genetics, 0303 health sciences, Medizin, Locus (genetics), Genomics, Biology, medicine.disease, Genetic architecture, 03 medical and health sciences, 0302 clinical medicine, Mood, medicine, Major depressive disorder, Bipolar disorder, Gene, NKAIN2 Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: BACKGROUNDSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.METHODSWe conducted the largest to date genome-wide genotype–by–sex (GxS) interaction of risk for these disorders, using 85,735 cases (33,403 SCZ, 19,924 BIP, 32,408 MDD) and 109,946 controls from the Psychiatric Genomics Consortium (PGC) and iPSYCH.RESULTSAcross disorders, genome-wide significant SNP-by-sex interaction was detected for a locus encompassingNKAIN2(rs117780815;p=3.2×10−8), that interacts with sodium/potassium-transporting ATPase enzymes implicating neuronal excitability. Three additional loci showed evidence (p−6) for cross-disorder GxS interaction (rs7302529,p=1.6×10−7; rs73033497,p=8.8×10−7; rs7914279,p=6.4×10−7) implicating various functions. Gene-based analyses identified GxS interaction across disorders (p=8.97×10−7) with transcriptional inhibitorSLTM. Most significant in SCZ was aMOCOSgene locus (rs11665282;p=1.5×10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509;p=1.1×10−7) in a locus containingIDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant GxS of genes regulating vascular endothelial growth factor (VEGF) receptor signaling in MDD (pFDRCONCLUSIONSIn the largest genome-wide GxS analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development, immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway enrichment levels.
Published: 2022

187. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Author: Niamh Mullins, JooEun Kang, Adrian I. Campos, Jonathan R.I. Coleman, Alexis C. Edwards, Hanga Galfalvy, Daniel F. Levey, Adriana Lori, Andrey Shabalin, Anna Starnawska, Mei-Hsin Su, Hunna J. Watson, Mark Adams, Swapnil Awasthi, Michael Gandal, Jonathan D. Hafferty, Akitoyo Hishimoto, Minsoo Kim, Satoshi Okazaki, Ikuo Otsuka, Stephan Ripke, Erin B. Ware, Andrew W. Bergen, Wade H. Berrettini, Martin Bohus, Harry Brandt, Xiao Chang, Wei J. Chen, Hsi-Chung Chen, Steven Crawford, Scott Crow, Emily DiBlasi, Philibert Duriez, Fernando Fernández-Aranda, Manfred M. Fichter, Steven Gallinger, Stephen J. Glatt, Philip Gorwood, Yiran Guo, Hakon Hakonarson, Katherine A. Halmi, Hai-Gwo Hwu, Sonia Jain, Stéphane Jamain, Susana Jiménez-Murcia, Craig Johnson, Allan S. Kaplan, Walter H. Kaye, Pamela K. Keel, James L. Kennedy, Kelly L. Klump, Dong Li, Shih-Cheng Liao, Klaus Lieb, Lisa Lilenfeld, Chih-Min Liu, Pierre J. Magistretti, Christian R. Marshall, James E. Mitchell, Eric T. Monson, Richard M. Myers, Dalila Pinto, Abigail Powers, Nicolas Ramoz, Stefan Roepke, Vsevolod Rozanov, Stephen W. Scherer, Christian Schmahl, Marcus Sokolowski, Michael Strober, Laura M. Thornton, Janet Treasure, Ming T. Tsuang, Stephanie H. Witt, D. Blake Woodside, Zeynep Yilmaz, Lea Zillich, Rolf Adolfsson, Ingrid Agartz, Tracy M. Air, Martin Alda, Lars Alfredsson, Ole A. Andreassen, Adebayo Anjorin, Vivek Appadurai, María Soler Artigas, Sandra Van der Auwera, M. Helena Azevedo, Nicholas Bass, Claiton H.D. Bau, Bernhard T. Baune, Frank Bellivier, Klaus Berger, Joanna M. Biernacka, Tim B. Bigdeli, Elisabeth B. Binder, Michael Boehnke, Marco P. Boks, Rosa Bosch, David L. Braff, Richard Bryant, Monika Budde, Enda M. Byrne, Wiepke Cahn, Miguel Casas, Enrique Castelao, Jorge A. Cervilla, Boris Chaumette, Sven Cichon, Aiden Corvin, Nicholas Craddock, David Craig, Franziska Degenhardt, Srdjan Djurovic, Howard J. Edenberg, Ayman H. Fanous, Jerome C. Foo, Andreas J. Forstner, Mark Frye, Janice M. Fullerton, Justine M. Gatt, Pablo V. Gejman, Ina Giegling, Hans J. Grabe, Melissa J. Green, Eugenio H. Grevet, Maria Grigoroiu-Serbanescu, Blanca Gutierrez, Jose Guzman-Parra, Steven P. Hamilton, Marian L. Hamshere, Annette Hartmann, Joanna Hauser, Stefanie Heilmann-Heimbach, Per Hoffmann, Marcus Ising, Ian Jones, Lisa A. Jones, Lina Jonsson, René S. Kahn, John R. Kelsoe, Kenneth S. Kendler, Stefan Kloiber, Karestan C. Koenen, Manolis Kogevinas, Bettina Konte, Marie-Odile Krebs, Mikael Landén, Jacob Lawrence, Marion Leboyer, Phil H. Lee, Douglas F. Levinson, Calwing Liao, Jolanta Lissowska, Susanne Lucae, Fermin Mayoral, Susan L. McElroy, Patrick McGrath, Peter McGuffin, Andrew McQuillin, Sarah E. Medland, Divya Mehta, Ingrid Melle, Yuri Milaneschi, Philip B. Mitchell, Esther Molina, Gunnar Morken, Preben Bo Mortensen, Bertram Müller-Myhsok, Caroline Nievergelt, Vishwajit Nimgaonkar, Markus M. Nöthen, Michael C. O’Donovan, Roel A. Ophoff, Michael J. Owen, Carlos Pato, Michele T. Pato, Brenda W.J.H. Penninx, Jonathan Pimm, Giorgio Pistis, James B. Potash, Robert A. Power, Martin Preisig, Digby Quested, Josep Antoni Ramos-Quiroga, Andreas Reif, Marta Ribasés, Vanesa Richarte, Marcella Rietschel, Margarita Rivera, Andrea Roberts, Gloria Roberts, Guy A. Rouleau, Diego L. Rovaris, Dan Rujescu, Cristina Sánchez-Mora, Alan R. Sanders, Peter R. Schofield, Thomas G. Schulze, Laura J. Scott, Alessandro Serretti, Jianxin Shi, Stanley I. Shyn, Lea Sirignano, Pamela Sklar, Olav B. Smeland, Jordan W. Smoller, Edmund J.S. Sonuga-Barke, Gianfranco Spalletta, John S. Strauss, Beata Świątkowska, Maciej Trzaskowski, Gustavo Turecki, Laura Vilar-Ribó, John B. Vincent, Henry Völzke, James T.R. Walters, Cynthia Shannon Weickert, Thomas W. Weickert, Myrna M. Weissman, Leanne M. Williams, Naomi R. Wray, Clement C. Zai, Allison E. Ashley-Koch, Jean C. Beckham, Elizabeth R. Hauser, Michael A. Hauser, Nathan A. Kimbrel, Jennifer H. Lindquist, Benjamin McMahon, David W. Oslin, Xuejun Qin, Esben Agerbo, Anders D. Børglum, Gerome Breen, Annette Erlangsen, Tõnu Esko, Joel Gelernter, David M. Hougaard, Ronald C. Kessler, Henry R. Kranzler, Qingqin S. Li, Nicholas G. Martin, Andrew M. McIntosh, Ole Mors, Merete Nordentoft, Catherine M. Olsen, David Porteous, Robert J. Ursano, Danuta Wasserman, Thomas Werge, David C. Whiteman, Cynthia M. Bulik, Hilary Coon, Ditte Demontis, Anna R. Docherty, Po-Hsiu Kuo, Cathryn M. Lewis, J. John Mann, Miguel E. Rentería, Daniel J. Smith, Eli A. Stahl, Murray B. Stein, Fabian Streit, Virginia Willour, Douglas M. Ruderfer, Manuel Mattheisen, Abdel Abdellaoui, Mark J. Adams, Till F.M. Andlauer, Silviu-Alin Bacanu, Marie Bækvad-Hansen, Aartjan T.F. Beekman, Julien Bryois, Henriette N. Buttenschøn, Jonas Bybjerg-Grauholm, Na Cai, Jane Hvarregaard Christensen, Toni-Kim Clarke, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Nick Craddock, Gregory E. Crawford, Gail Davies, Eske M. Derks, Nese Direk, Conor V. Dolan, Erin C. Dunn, Thalia C. Eley, Valentina Escott-Price, Farnush Farhadi Hassan Kiadeh, Hilary K. Finucane, Josef Frank, Héléna A. Gaspar, Michael Gill, Fernando S. Goes, Scott D. Gordon, Shantel Marie Weinsheimer, Jürgen Wellmann, Gonneke Willemsen, Yang Wu, Hualin S. Xi, Jian Yang, Futao Zhang, Volker Arolt, Dorret I. Boomsma, Udo Dannlowski, E.J.C. de Geus, J. Raymond Depaulo, Enrico Domenici, Katharina Domschke, Jakob Grove, Lynsey S. Hall, Christine Søholm Hansen, Thomas F. Hansen, Stefan Herms, Ian B. Hickie, Georg Homuth, Carsten Horn, Jouke-Jan Hottenga, David M. Howard, Rick Jansen, Eric Jorgenson, James A. Knowles, Isaac S. Kohane, Julia Kraft, Warren W. Kretzschmar, Zoltán Kutalik, Yihan Li, Penelope A. Lind, Donald J. MacIntyre, Dean F. MacKinnon, Robert M. Maier, Wolfgang Maier, Jonathan Marchini, Hamdi Mbarek, Christel M. Middeldorp, Evelin Mihailov, Lili Milani, Francis M. Mondimore, Grant W. Montgomery, Sara Mostafavi, Matthias Nauck, Bernard Ng, Michel G. Nivard, Dale R. Nyholt, Paul F. O’Reilly, Hogni Oskarsson, Caroline Hayward, Andrew C. Heath, Glyn Lewis, Pamela A.F. Madden, Patrik K. Magnusson, Andres Metspalu, Sara A. Paciga, Nancy L. Pedersen, Jodie N. Painter, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Roseann E. Peterson, Wouter J. Peyrot, Danielle Posthuma, Jorge A. Quiroz, Per Qvist, John P. Rice, Brien P. Riley, Saira Saeed Mirza, Robert Schoevers, Eva C. Schulte, Ling Shen, Engilbert Sigurdsson, Grant C.B. Sinnamon, Johannes H. Smit, Hreinn Stefansson, Stacy Steinberg, Jana Strohmaier, Katherine E. Tansey, Henning Teismann, Alexander Teumer, Wesley Thompson, Pippa A. Thomson, Thorgeir E. Thorgeirsson, Matthew Traylor, Jens Treutlein, Vassily Trubetskoy, André G. Uitterlinden, Daniel Umbricht, Albert M. van Hemert, Alexander Viktorin, Peter M. Visscher, Yunpeng Wang, Bradley T. Webb, Roy H. Perlis, David J. Porteous, Catherine Schaefer, Kari Stefansson, Henning Tiemeier, Rudolf Uher, Patrick F. Sullivan, Kevin S. O’Connell, Brandon Coombes, Zhen Qiao, Thomas D. Als, Sigrid Børte, Alexander W. Charney, Ole Kristian Drange, Michael J. Gandal, Saskia P. Hagenaars, Masashi Ikeda, Nolan Kamitaki, Kristi Krebs, Georgia Panagiotaropoulou, Brian M. Schilder, Laura G. Sloofman, Bendik S. Winsvold, Hong-Hee Won, Liliya Abramova, Kristina Adorjan, Mariam Al Eissa, Diego Albani, Ney Alliey-Rodriguez, Verneri Antilla, Anastasia Antoniou, Ji Hyun Baek, Michael Bauer, Eva C. Beins, Sarah E. Bergen, Armin Birner, Erlend Bøen, Murielle Brum, Ben M. Brumpton, Nathalie Brunkhorst-Kanaan, William Byerley, Murray Cairns, Miquel Casas, Pablo Cervantes, Cristiana Cruceanu, Alfredo Cuellar-Barboza, Julie Cunningham, David Curtis, Piotr M. Czerski, Anders M. Dale, Nina Dalkner, Friederike S. David, Amanda L. Dobbyn, Athanassios Douzenis, Torbjørn Elvsåshagen, I. Nicol Ferrier, Alessia Fiorentino, Tatiana M. Foroud, Liz Forty, Oleksandr Frei, Nelson B. Freimer, Louise Frisén, Katrin Gade, Julie Garnham, Ian R. Gizer, Katherine Gordon-Smith, Tiffany A. Greenwood, José Guzman-Parra, Kyooseob Ha, Magnus Haraldsson, Martin Hautzinger, Urs Heilbronner, Dennis Hellgren, Peter A. Holmans, Laura Huckins, Jessica S. Johnson, Janos L. Kalman, Yoichiro Kamatani, Sarah Kittel-Schneider, Maria Koromina, Thorsten M. Kranz, Michiaki Kubo, Ralph Kupka, Steven A. Kushner, Catharina Lavebratt, Markus Leber, Heon-Jeong Lee, Shawn E. Levy, Catrin Lewis, Martin Lundberg, Sigurdur H. Magnusson, Adam Maihofer, Dolores Malaspina, Eirini Maratou, Lina Martinsson, Nathaniel W. McGregor, James D. McKay, Helena Medeiros, Vincent Millischer, Jennifer L. Moran, Derek W. Morris, Thomas W. Mühleisen, Niamh O’Brien, Claire O’Donovan, Loes M. Olde Loohuis, Lilijana Oruc, Sergi Papiol, Antonio F. Pardiñas, Amy Perry, Andrea Pfennig, Evgenia Porichi, Towfique Raj, Mark H. Rapaport, J. Raymond DePaulo, Eline J. Regeer, Fabio Rivas, Julian Roth, Panos Roussos, Fanny Senner, Sally Sharp, Paul D. Shilling, Claire Slaney, Janet L. Sobell, Maria Soler Artigas, Anne T. Spijker, Dan J. Stein, Chikashi Terao, Claudio Toma, Paul Tooney, Evangelia-Eirini Tsermpini, Marquis P. Vawter, Helmut Vedder, Simon Xi, Wei Xu, Jessica Mei Kay Yang, Allan H. Young, Hannah Young, Peter P. Zandi, Hang Zhou, null HUNT All-In Psychiatry, Gulja Babadjanova, Lena Backlund, Susanne Bengesser, Douglas H.R. Blackwood, Vaughan J. Carr, Stanley Catts, Dimitris Dikeos, Bruno Etain, Panagiotis Ferentinos, Micha Gawlik, Elliot S. Gershon, Frans Henskens, Jan Hillert, Kyung Sue Hong, Christina M. Hultman, Kristian Hveem, Nakao Iwata, Assen V. Jablensky, George Kirov, Christine Lochner, Carmel Loughland, Carol A. Mathews, Francis J. McMahon, Patricia Michie, Bryan Mowry, Benjamin M. Neale, Caroline M. Nievergelt, Ketil J. Oedegaard, Tomas Olsson, Chris Pantelis, George P. Patrinos, Eva Z. Reininghaus, Takeo Saito, Ulrich Schall, Martin Schalling, Rodney J. Scott, Eystein Stordal, Arne E. Vaaler, Eduard Vieta, Irwin D. Waldman, John-Anker Zwart, John I. Nurnberger, Arianna Di Florio, Roger A.H. Adan, Tetsuya Ando, Harald Aschauer, Jessica H. Baker, Vladimir Bencko, Andreas Birgegård, Joseph M. Boden, Ilka Boehm, Claudette Boni, Vesna Boraska Perica, Katharina Buehren, Roland Burghardt, Laura Carlberg, Matteo Cassina, Maurizio Clementi, Roger D. Cone, Philippe Courtet, James J. Crowley, Unna N. Danner, Oliver S.P. Davis, Martina de Zwaan, George Dedoussis, Daniela Degortes, Janiece E. DeSocio, Danielle M. Dick, Christian Dina, Monika Dmitrzak-Weglarz, Elisa Docampo Martinez, Laramie E. Duncan, Karin Egberts, Morten Mattingsdal, Sara McDevitt, Ingrid Meulenbelt, Nadia Micali, James Mitchell, Karen Mitchell, Palmiero Monteleone, Alessio Maria Monteleone, Melissa A. Munn-Chernoff, Benedetta Nacmias, Marie Navratilova, Ioanna Ntalla, Julie K. O’Toole, Leonid Padyukov, Aarno Palotie, Jacques Pantel, Hana Papezova, Richard Parker, John F. Pearson, Stefan Ehrlich, Geòrgia Escaramís, Thomas Espeseth, Xavier Estivill, Anne Farmer, Angela Favaro, Krista Fischer, James A.B. Floyd, Manuel Föcker, Lenka Foretova, Monica Forzan, Christopher S. Franklin, Giovanni Gambaro, Johanna Giuranna, Paola Giusti-Rodríquez, Fragiskos Gonidakis, Scott Gordon, Monica Gratacos Mayora, Sébastien Guillaume, Ken B. Hanscombe, Konstantinos Hatzikotoulas, Johannes Hebebrand, Sietske G. Helder, Anjali K. Henders, Beate Herpertz-Dahlmann, Wolfgang Herzog, Anke Hinney, L. John Horwood, Christopher Hübel, Liselotte V. Petersen, Kirstin L. Purves, Anu Raevuori, Ted Reichborn-Kjennerud, Valdo Ricca, Samuli Ripatti, Franziska Ritschel, Marion Roberts, Filip Rybakowski, Paolo Santonastaso, André Scherag, Ulrike Schmidt, Nicholas J. Schork, Alexandra Schosser, Jochen Seitz, Lenka Slachtova, P. Eline Slagboom, Margarita C.T. Slof-Op ‘t Landt, Agnieszka Slopien, Nicole Soranzo, Sandro Sorbi, Lorraine Southam, Vidar W. Steen, Laura M. Huckins, James I. Hudson, Hartmut Imgart, Hidetoshi Inoko, Vladimir Janout, Jennifer Jordan, Antonio Julià, Gursharan Kalsi, Deborah Kaminská, Jaakko Kaprio, Leila Karhunen, Andreas Karwautz, Martien J.H. Kas, Martin A. Kennedy, Anna Keski-Rahkonen, Kirsty Kiezebrink, Youl-Ri Kim, Katherine M. Kirk, Lars Klareskog, Gun Peggy S. Knudsen, Janne T. Larsen, Stephanie Le Hellard, Virpi M. Leppä, Paul Lichtenstein, Bochao Danae Lin, Astri Lundervold, Jurjen Luykx, Mario Maj, Katrin Mannik, Sara Marsal, Garret D. Stuber, Jin P. Szatkiewicz, Ioanna Tachmazidou, Elena Tenconi, Alfonso Tortorella, Federica Tozzi, Artemis Tsitsika, Marta Tyszkiewicz-Nwafor, Konstantinos Tziouvas, Annemarie A. van Elburg, Eric F. van Furth, Tracey D. Wade, Gudrun Wagner, Esther Walton, H. Erich Wichmann, Elisabeth Widen, Shuyang Yao, Eleftheria Zeggini, Stephanie Zerwas, Stephan Zipfel, Martin Jungkunz, Lydie Dietl, Cornelia E. Schwarze, Norbert Dahmen, Björn H. Schott, Arian Mobascher, Silvia Crivelli, Michelle F. Dennis, Phillip D. Harvey, Bruce W. Carter, Jennifer E. Huffman, Daniel Jacobson, Ravi Madduri, Maren K. Olsen, John Pestian, J. Michael Gaziano, Sumitra Muralidhar, Rachel Ramoni, Jean Beckham, Kyong-Mi Chang, Christopher J. O’Donnell, Philip S. Tsao, James Breeling, Grant Huang, J.P. Casas Romero, Jennifer Moser, Stacey B. Whitbourne, Jessica V. Brewer, Mihaela Aslan, Todd Connor, Dean P. Argyres, Brady Stephens, Mary T. Brophy, Donald E. Humphries, Luis E. Selva, Nhan Do, Shahpoor Shayan, Kelly Cho, Saiju Pyarajan, Elizabeth Hauser, Yan Sun, Hongyu Zhao, Peter Wilson, Rachel McArdle, Louis Dellitalia, Kristin Mattocks, John Harley, Clement J. Zablocki, Jeffrey Whittle, Frank Jacono, Salvador Gutierrez, Gretchen Gibson, Kimberly Hammer, Laurence Kaminsky, Gerardo Villareal, Scott Kinlay, Junzhe Xu, Mark Hamner, Roy Mathew, Sujata Bhushan, Pran Iruvanti, Michael Godschalk, Zuhair Ballas, Douglas Ivins, Stephen Mastorides, Jonathan Moorman, Saib Gappy, Jon Klein, Nora Ratcliffe, Hermes Florez, Olaoluwa Okusaga, Maureen Murdoch, Peruvemba Sriram, Shing Shing Yeh, Neeraj Tandon, Darshana Jhala, Samuel Aguayo, David Cohen, Satish Sharma, Suthat Liangpunsakul, Kris Ann Oursler, Mary Whooley, Sunil Ahuja, Joseph Constans, Paul Meyer, Jennifer Greco, Michael Rauchman, Richard Servatius, Melinda Gaddy, Agnes Wallbom, Timothy Morgan, Todd Stapley, Scott Sherman, George Ross, Philip Tsao, Patrick Strollo, Edward Boyko, Laurence Meyer, Samir Gupta, Mostaqul Huq, Joseph Fayad, Adriana Hung, Jack Lichy, Robin Hurley, Brooks Robey, Robert Striker, Dietl, Lydie, Schwarze, Cornelia E., Dahmen, Norbert, Schott, Björn H., Nöthen, Markus M., Ripke, Stephan, Mobascher, Arian, Rujescu, Dan, Lieb, Klaus, Roepke, Stefan, Schmahl, Christian, Bohus, Martin, Rietschel, Marcella, Crivelli, Silvia, Dennis, Michelle F., Harvey, Phillip D., Carter, Bruce W., Huffman, Jennifer E., Jacobson, Daniel, Madduri, Ravi, Olsen, Maren K., Pestian, John, Gaziano, J. Michael, Muralidhar, Sumitra, Ramoni, Rachel, Beckham, Jean, Chang, Kyong-Mi, O'Donnell, Christopher J., Tsao, Philip S., Breeling, James, Huang, Grant, Romero, J. P. Casas, Moser, Jennifer, Whitbourne, Stacey B., Brewer, Jessica V., Aslan, Mihaela, Connor, Todd, Argyres, Dean P., Stephens, Brady, Brophy, Mary T., Humphries, Donald E., Selva, Luis E., Do, Nhan, Shayan, Shahpoor, Cho, Kelly, Pyarajan, Saiju, Hauser, Elizabeth, Sun, Yan, Zhao, Hongyu, Wilson, Peter, McArdle, Rachel, Dellitalia, Louis, Mattocks, Kristin, Harley, John, Zablocki, Clement J., Whittle, Jeffrey, Jacono, Frank, Gutierrez, Salvador, Gibson, Gretchen, Hammer, Kimberly, Kaminsky, Laurence, Villareal, Gerardo, Kinlay, Scott, Xu, Junzhe, Hamner, Mark, Mathew, Roy, Bhushan, Sujata, Iruvanti, Pran, Godschalk, Michael, Ballas, Zuhair, Ivins, Douglas, Mastorides, Stephen, Moorman, Jonathan, Gappy, Saib, Klein, Jon, Ratcliffe, Nora, Florez, Hermes, Okusaga, Olaoluwa, Murdoch, Maureen, Sriram, Peruvemba, Yeh, Shing Shing, Tandon, Neeraj, Jhala, Darshana, Aguayo, Samuel, Cohen, David, Sharma, Satish, Liangpunsakul, Suthat, Oursler, Kris Ann, Whooley, Mary, Ahuja, Sunil, Constans, Joseph, Meyer, Paul, Greco, Jennifer, Rauchman, Michael, Servatius, Richard, Gaddy, Melinda, Wallbom, Agnes, Morgan, Timothy, Stapley, Todd, Sherman, Scott, Ross, George, Tsao, Philip, Strollo, Patrick, Boyko, Edward, Meyer, Laurence, Gupta, Samir, Huq, Mostaqul, Fayad, Joseph, Hung, Adriana, Lichy, Jack, Hurley, Robin, Robey, Brooks, Striker, Robert, Wray, Naomi R., Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F. M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R. I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K., Foo, Jerome C., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Howard, David M., Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A., Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O'Reilly, Paul F., Oskarsson, Hogni, Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A. F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, O'Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C. B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Penninx, Brenda W. J. H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., O'Connell, Kevin S., Coombes, Brandon, Qiao, Zhen, Als, Thomas D., Børte, Sigrid, Charney, Alexander W., Drange, Ole Kristian, Gandal, Michael J., Hagenaars, Saskia P., Ikeda, Masashi, Kamitaki, Nolan, Kim, Minsoo, Krebs, Kristi, Panagiotaropoulou, Georgia, Schilder, Brian M., Sloofman, Laura G., Winsvold, Bendik S., Won, Hong-Hee, Abramova, Liliya, Adorjan, Kristina, Al Eissa, Mariam, Albani, Diego, Alliey-Rodriguez, Ney, Anjorin, Adebayo, Antilla, Verneri, Antoniou, Anastasia, Awasthi, Swapnil, Baek, Ji Hyun, Bass, Nicholas, Bauer, Michael, Beins, Eva C., Bergen, Sarah E., Birner, Armin, Bøen, Erlend, Boks, Marco P., Bosch, Rosa, Brum, Murielle, Brumpton, Ben M., Brunkhorst-Kanaan, Nathalie, Budde, Monika, Byerley, William, Cairns, Murray, Casas, Miquel, Cervantes, Pablo, Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Cunningham, Julie, Curtis, David, Czerski, Piotr M., Dale, Anders M., Dalkner, Nina, David, Friederike S., Djurovic, Srdjan, Dobbyn, Amanda L., Douzenis, Athanassios, Elvsåshagen, Torbjørn, Ferrier, I. Nicol, Fiorentino, Alessia, Foroud, Tatiana M., Forty, Liz, Frei, Oleksandr, Freimer, Nelson B., Frisén, Louise, Gade, Katrin, Garnham, Julie, Gelernter, Joel, Gizer, Ian R., Gordon-Smith, Katherine, Greenwood, Tiffany A., Guzman-Parra, José, Ha, Kyooseob, Haraldsson, Magnus, Hautzinger, Martin, Heilbronner, Urs, Hellgren, Dennis, Holmans, Peter A., Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S., Kalman, Janos L., Kamatani, Yoichiro, Kennedy, James L., Kittel-Schneider, Sarah, Kogevinas, Manolis, Koromina, Maria, Kranz, Thorsten M., Kranzler, Henry R., Kubo, Michiaki, Kupka, Ralph, Kushner, Steven A., Lavebratt, Catharina, Lawrence, Jacob, Leber, Markus, Lee, Heon-Jeong, Lee, Phil H., Levy, Shawn E., Lewis, Catrin, Liao, Calwing, Lundberg, Martin, Magnusson, Sigurdur H., Maihofer, Adam, Malaspina, Dolores, Maratou, Eirini, Martinsson, Lina, McGregor, Nathaniel W., McKay, James D., Medeiros, Helena, Millischer, Vincent, Moran, Jennifer L., Morris, Derek W., Mühleisen, Thomas W., O'Brien, Niamh, O'Donovan, Claire, Olde Loohuis, Loes M., Oruc, Lilijana, Papiol, Sergi, Pardiñas, Antonio F., Perry, Amy, Pfennig, Andrea, Porichi, Evgenia, Quested, Digby, Raj, Towfique, Rapaport, Mark H., Regeer, Eline J., Rivas, Fabio, Roth, Julian, Roussos, Panos, Ruderfer, Douglas M., Sánchez-Mora, Cristina, Senner, Fanny, Sharp, Sally, Shilling, Paul D., Sirignano, Lea, Slaney, Claire, Smeland, Olav B., Sobell, Janet L., Artigas, Maria Soler, Spijker, Anne T., Stein, Dan J., Strauss, John S., Świątkowska, Beata, Terao, Chikashi, Toma, Claudio, Tooney, Paul, Tsermpini, Evangelia-Eirini, Vawter, Marquis P., Vedder, Helmut, Walters, James T. R., Xi, Simon, Xu, Wei, Kay Yang, Jessica Mei, Young, Allan H., Young, Hannah, Zandi, Peter P., Zhou, Hang, Zillich, Lea, Adolfsson, Rolf, Agartz, Ingrid, Alda, Martin, Alfredsson, Lars, Babadjanova, Gulja, Backlund, Lena, Bellivier, Frank, Bengesser, Susanne, Berrettini, Wade H., Blackwood, Douglas H. R., Boehnke, Michael, Carr, Vaughan J., Catts, Stanley, Corvin, Aiden, Craddock, Nicholas, Dikeos, Dimitris, Etain, Bruno, Ferentinos, Panagiotis, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gershon, Elliot S., Green, Melissa J., Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Henskens, Frans, Hillert, Jan, Hong, Kyung Sue, Hultman, Christina M., Hveem, Kristian, Iwata, Nakao, Jablensky, Assen V., Kahn, René S., Kelsoe, John R., Kirov, George, Landén, Mikael, Leboyer, Marion, Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, Mathews, Carol A., Mayoral, Fermin, McElroy, Susan L., McMahon, Francis J., Melle, Ingrid, Michie, Patricia, Mitchell, Philip B., Morken, Gunnar, Mowry, Bryan, Myers, Richard M., Neale, Benjamin M., Nievergelt, Caroline M., Oedegaard, Ketil J., Olsson, Tomas, Pantelis, Chris, Pato, Carlos, Pato, Michele T., Patrinos, George P., Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rouleau, Guy A., Saito, Takeo, Schall, Ulrich, Schalling, Martin, Schofield, Peter R., Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Weickert, Cynthia Shannon, Stordal, Eystein, Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Thomas W., Zwart, John-Anker, Biernacka, Joanna M., Nurnberger, John I., Edenberg, Howard J., Stahl, Eli A., McQuillin, Andrew, Di Florio, Arianna, Ophoff, Roel A., Andreassen, Ole A., Adan, Roger A. H., Ando, Tetsuya, Aschauer, Harald, Baker, Jessica H., Bencko, Vladimir, Bergen, Andrew W., Birgegård, Andreas, Boden, Joseph M., Boehm, Ilka, Boni, Claudette, Perica, Vesna Boraska, Brandt, Harry, Buehren, Katharina, Bulik, Cynthia M., Burghardt, Roland, Carlberg, Laura, Cassina, Matteo, Clementi, Maurizio, Cone, Roger D., Courtet, Philippe, Crawford, Steven, Crow, Scott, Crowley, James J., Danner, Unna N., Davis, Oliver S. P., de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece E., Dick, Danielle M., Dina, Christian, Dmitrzak-Weglarz, Monika, Martinez, Elisa Docampo, Duncan, Laramie E., Egberts, Karin, Marshall, Christian R., Mattingsdal, Morten, McDevitt, Sara, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, James, Mitchell, Karen, Monteleone, Palmiero, Monteleone, Alessio Maria, Munn-Chernoff, Melissa A., Nacmias, Benedetta, Navratilova, Marie, Ntalla, Ioanna, Olsen, Catherine M., O'Toole, Julie K., Padyukov, Leonid, Palotie, Aarno, Pantel, Jacques, Papezova, Hana, Parker, Richard, Pearson, John F., Ehrlich, Stefan, Escaramís, Geòrgia, Espeseth, Thomas, Estivill, Xavier, Farmer, Anne, Favaro, Angela, Fernández-Aranda, Fernando, Fichter, Manfred M., Fischer, Krista, Floyd, James A. B., Föcker, Manuel, Foretova, Lenka, Forzan, Monica, Franklin, Christopher S., Gallinger, Steven, Gambaro, Giovanni, Giegling, Ina, Giuranna, Johanna, Giusti-Rodríquez, Paola, Gonidakis, Fragiskos, Gordon, Scott, Gorwood, Philip, Mayora, Monica Gratacos, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine A., Hanscombe, Ken B., Hatzikotoulas, Konstantinos, Hebebrand, Johannes, Helder, Sietske G., Henders, Anjali K., Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hinney, Anke, Horwood, L. John, Hübel, Christopher, Petersen, Liselotte V., Pinto, Dalila, Purves, Kirstin L., Raevuori, Anu, Ramoz, Nicolas, Reichborn-Kjennerud, Ted, Ricca, Valdo, Ripatti, Samuli, Ritschel, Franziska, Roberts, Marion, Rybakowski, Filip, Santonastaso, Paolo, Scherag, André, Scherer, Stephen W., Schmidt, Ulrike, Schork, Nicholas J., Schosser, Alexandra, Seitz, Jochen, Slachtova, Lenka, Slagboom, P. Eline, Slof-Op 't Landt, Margarita C. T., Slopien, Agnieszka, Soranzo, Nicole, Sorbi, Sandro, Southam, Lorraine, Steen, Vidar W., Strober, Michael, Huckins, Laura M., Hudson, James I., Imgart, Hartmut, Inoko, Hidetoshi, Janout, Vladimir, Jiménez-Murcia, Susana, Johnson, Craig, Jordan, Jennifer, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaplan, Allan S., Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien J. H., Kaye, Walter H., Kennedy, Martin A., Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Kirk, Katherine M., Klareskog, Lars, Klump, Kelly L., Knudsen, Gun Peggy S., Larsen, Janne T., Le Hellard, Stephanie, Leppä, Virpi M., Li, Dong, Lichtenstein, Paul, Lilenfeld, Lisa, Lin, Bochao Danae, Lundervold, Astri, Luykx, Jurjen, Magistretti, Pierre J., Maj, Mario, Mannik, Katrin, Marsal, Sara, Stuber, Garret D., Szatkiewicz, Jin P., Tachmazidou, Ioanna, Tenconi, Elena, Thornton, Laura M., Tortorella, Alfonso, Tozzi, Federica, Treasure, Janet, Tsitsika, Artemis, Tyszkiewicz-Nwafor, Marta, Tziouvas, Konstantinos, van Elburg, Annemarie A., van Furth, Eric F., Wade, Tracey D., Wagner, Gudrun, Walton, Esther, Watson, Hunna J., Whiteman, David C., Wichmann, H. Erich, Widen, Elisabeth, Woodside, D. Blake, Yao, Shuyang, Yilmaz, Zeynep, Zeggini, Eleftheria, Zerwas, Stephanie, Zipfel, Stephan, Jungkunz, Martin, Mullins, N., Kang, J., Campos, A. I., Coleman, J. R. I., Edwards, A. C., Galfalvy, H., Levey, D. F., Lori, A., Shabalin, A., Starnawska, A., Su, M. -H., Watson, H. J., Adams, M., Awasthi, S., Gandal, M., Hafferty, J. D., Hishimoto, A., Kim, M., Okazaki, S., Otsuka, I., Ripke, S., Ware, E. B., Bergen, A. W., Berrettini, W. H., Bohus, M., Brandt, H., Chang, X., Chen, W. J., Chen, H. -C., Crawford, S., Crow, S., Diblasi, E., Duriez, P., Fernandez-Aranda, F., Fichter, M. M., Gallinger, S., Glatt, S. J., Gorwood, P., Guo, Y., Hakonarson, H., Halmi, K. A., Hwu, H. -G., Jain, S., Jamain, S., Jimenez-Murcia, S., Johnson, C., Kaplan, A. S., Kaye, W. H., Keel, P. K., Kennedy, J. L., Klump, K. L., Li, D., Liao, S. -C., Lieb, K., Lilenfeld, L., Liu, C. -M., Magistretti, P. J., Marshall, C. R., Mitchell, J. E., Monson, E. T., Myers, R. M., Pinto, D., Powers, A., Ramoz, N., Roepke, S., Rozanov, V., Scherer, S. W., Schmahl, C., Sokolowski, M., Strober, M., Thornton, L. M., Treasure, J., Tsuang, M. T., Witt, S. H., Woodside, D. B., Yilmaz, Z., Zillich, L., Adolfsson, R., Agartz, I., Air, T. M., Alda, M., Alfredsson, L., Andreassen, O. A., Anjorin, A., Appadurai, V., Soler Artigas, M., Van der Auwera, S., Azevedo, M. H., Bass, N., Bau, C. H. D., Baune, B. T., Bellivier, F., Berger, K., Biernacka, J. M., Bigdeli, T. B., Binder, E. B., Boehnke, M., Boks, M. P., Bosch, R., Braff, D. L., Bryant, R., Budde, M., Byrne, E. M., Cahn, W., Casas, M., Castelao, E., Cervilla, J. A., Chaumette, B., Cichon, S., Corvin, A., Craddock, N., Craig, D., Degenhardt, F., Djurovic, S., Edenberg, H. J., Fanous, A. H., Foo, J. C., Forstner, A. J., Frye, M., Fullerton, J. M., Gatt, J. M., Gejman, P. V., Giegling, I., Grabe, H. J., Green, M. J., Grevet, E. H., Grigoroiu-Serbanescu, M., Gutierrez, B., Guzman-Parra, J., Hamilton, S. P., Hamshere, M. L., Hartmann, A., Hauser, J., Heilmann-Heimbach, S., Hoffmann, P., Ising, M., Jones, I., Jones, L. A., Jonsson, L., Kahn, R. S., Kelsoe, J. R., Kendler, K. S., Kloiber, S., Koenen, K. C., Kogevinas, M., Konte, B., Krebs, M. -O., Landen, M., Lawrence, J., Leboyer, M., Lee, P. H., Levinson, D. F., Liao, C., Lissowska, J., Lucae, S., Mayoral, F., Mcelroy, S. L., Mcgrath, P., Mcguffin, P., Mcquillin, A., Medland, S. E., Mehta, D., Melle, I., Milaneschi, Y., Mitchell, P. B., Molina, E., Morken, G., Mortensen, P. B., Muller-Myhsok, B., Nievergelt, C., Nimgaonkar, V., Nothen, M. M., O'Donovan, M. C., Ophoff, R. A., Owen, M. J., Pato, C., Pato, M. T., Penninx, B. W. J. H., Pimm, J., Pistis, G., Potash, J. B., Power, R. A., Preisig, M., Quested, D., Ramos-Quiroga, J. A., Reif, A., Ribases, M., Richarte, V., Rietschel, M., Rivera, M., Roberts, A., Roberts, G., Rouleau, G. A., Rovaris, D. L., Rujescu, D., Sanchez-Mora, C., Sanders, A. R., Schofield, P. R., Schulze, T. G., Scott, L. J., Serretti, A., Shi, J., Shyn, S. I., Sirignano, L., Sklar, P., Smeland, O. B., Smoller, J. W., Sonuga-Barke, E. J. S., Spalletta, G., Strauss, J. S., Swiatkowska, B., Trzaskowski, M., Turecki, G., Vilar-Ribo, L., Vincent, J. B., Volzke, H., Walters, J. T. R., Shannon Weickert, C., Weickert, T. W., Weissman, M. M., Williams, L. M., Wray, N. R., Zai, C. C., Ashley-Koch, A. E., Beckham, J. C., Hauser, E. R., Hauser, M. A., Kimbrel, N. A., Lindquist, J. H., Mcmahon, B., Oslin, D. W., Qin, X., Mattheisen, M., Abdellaoui, A., Adams, M. J., Agerbo, E., Andlauer, T. F. M., Bacanu, S. -A., Baekvad-Hansen, M., Beekman, A. T. F., Bryois, J., Buttenschon, H. N., Bybjerg-Grauholm, J., Cai, N., Christensen, J. H., Clarke, T. -K., Colodro-Conde, L., Couvy-Duchesne, B., Crawford, G. E., Davies, G., Derks, E. M., Direk, N., Dolan, C. V., Dunn, E. C., Eley, T. C., Escott-Price, V., Hassan Kiadeh, F. F., Finucane, H. K., Frank, J., Gaspar, H. A., Gill, M., Goes, F. S., Gordon, S. D., Weinsheimer, S. M., Wellmann, J., Willemsen, G., Wu, Y., Xi, H. S., Yang, J., Zhang, F., Arolt, V., Boomsma, D. I., Dannlowski, U., Depaulo, J. R., Domenici, E., Domschke, K., Esko, T., Grove, J., Hall, L. S., Hansen, C. S., Hansen, T. F., Herms, S., Hickie, I. B., Homuth, G., Horn, C., Hottenga, J. -J., Hougaard, D. M., Howard, D. M., Jansen, R., Jorgenson, E., Knowles, J. A., Kohane, I. S., Kraft, J., Kretzschmar, W. W., Kutalik, Z., Li, Y., Lind, P. A., Macintyre, D. J., Mackinnon, D. F., Maier, R. M., Maier, W., Marchini, J., Mbarek, H., Middeldorp, C. M., Mihailov, E., Milani, L., Mondimore, F. M., Montgomery, G. W., Mostafavi, S., Nauck, M., Ng, B., Nivard, M. G., Nyholt, D. R., O'Reilly, P. F., Oskarsson, H., Hayward, C., Heath, A. C., Lewis, G., Li, Q. S., Madden, P. A. F., Magnusson, P. K., Martin, N. G., Mcintosh, A. M., Metspalu, A., Mors, O., Nordentoft, M., Paciga, S. A., Pedersen, N. L., Painter, J. N., Pedersen, C. B., Pedersen, M. G., Peterson, R. E., Peyrot, W. J., Posthuma, D., Quiroz, J. A., Qvist, P., Rice, J. P., Riley, B. P., Mirza, S. S., Schoevers, R., Schulte, E. C., Shen, L., Sigurdsson, E., Sinnamon, G. C. B., Smit, J. H., Smith, D. J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K. E., Teismann, H., Teumer, A., Thompson, W., Thomson, P. A., Thorgeirsson, T. E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A. G., Umbricht, D., der Auwera, S. V., van Hemert, A. M., Viktorin, A., Visscher, P. M., Wang, Y., Webb, B. T., Perlis, R. H., Porteous, D. J., Schaefer, C., Stefansson, K., Tiemeier, H., Uher, R., Werge, T., Lewis, C. M., Breen, G., Borglum, A. D., Sullivan, P. F., O'Connell, K. S., Coombes, B., Qiao, Z., Als, T. D., Borte, S., Charney, A. W., Drange, O. K., Gandal, M. J., Hagenaars, S. P., Ikeda, M., Kamitaki, N., Krebs, K., Panagiotaropoulou, G., Schilder, B. M., Sloofman, L. G., Winsvold, B. S., Won, H. -H., Abramova, L., Adorjan, K., Al Eissa, M., Albani, D., Alliey-Rodriguez, N., Antilla, V., Antoniou, A., Baek, J. H., Bauer, M., Beins, E. C., Bergen, S. 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A., Keski-Rahkonen, A., Kiezebrink, K., Kim, Y. -R., Kirk, K. M., Klareskog, L., Knudsen, G. P. S., Larsen, J. T., Le Hellard, S., Leppa, V. M., Lichtenstein, P., Lin, B. D., Lundervold, A., Luykx, J., Maj, M., Mannik, K., Marsal, S., Stuber, G. D., Szatkiewicz, J. P., Tachmazidou, I., Tenconi, E., Tortorella, A., Tozzi, F., Tsitsika, A., Tyszkiewicz-Nwafor, M., Tziouvas, K., van Elburg, A. A., van Furth, E. F., Wade, T. D., Wagner, G., Walton, E., Whiteman, D. C., Wichmann, H. E., Widen, E., Yao, S., Zeggini, E., Zerwas, S., Zipfel, S., Jungkunz, M., Dietl, L., Schwarze, C. E., Dahmen, N., Schott, B. H., Mobascher, A., Crivelli, S., Dennis, M. F., Harvey, P. D., Carter, B. W., Huffman, J. E., Jacobson, D., Madduri, R., Olsen, M. K., Pestian, J., Gaziano, J. M., Muralidhar, S., Ramoni, R., Beckham, J., Chang, K. -M., O'Donnell, C. J., Tsao, P. S., Breeling, J., Huang, G., Romero, J. P. C., Moser, J., Whitbourne, S. B., Brewer, J. V., Aslan, M., Connor, T., Argyres, D. P., Stephens, B., Brophy, M. T., Humphries, D. E., Selva, L. E., Do, N., Shayan, S., Cho, K., Pyarajan, S., Hauser, E., Sun, Y., Zhao, H., Wilson, P., Mcardle, R., Dellitalia, L., Mattocks, K., Harley, J., Zablocki, C. J., Whittle, J., Jacono, F., Gutierrez, S., Gibson, G., Hammer, K., Kaminsky, L., Villareal, G., Kinlay, S., Xu, J., Hamner, M., Mathew, R., Bhushan, S., Iruvanti, P., Godschalk, M., Ballas, Z., Ivins, D., Mastorides, S., Moorman, J., Gappy, S., Klein, J., Ratcliffe, N., Florez, H., Okusaga, O., Murdoch, M., Sriram, P., Yeh, S. S., Tandon, N., Jhala, D., Aguayo, S., Cohen, D., Sharma, S., Liangpunsakul, S., Oursler, K. A., Whooley, M., Ahuja, S., Constans, J., Meyer, P., Greco, J., Rauchman, M., Servatius, R., Gaddy, M., Wallbom, A., Morgan, T., Stapley, T., Sherman, S., Ross, G., Tsao, P., Strollo, P., Boyko, E., Meyer, L., Gupta, S., Huq, M., Fayad, J., Hung, A., Lichy, J., Hurley, R., Robey, B., Striker, R., Erlangsen, A., Kessler, R. C., Porteous, D., Ursano, R. J., Wasserman, D., Coon, H., Demontis, D., Docherty, A. R., Kuo, P. -H., Mann, J. J., Renteria, M. E., Stein, M. B., Willour, V., Psychiatry, Biological Psychology, APH - Methodology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, AMS - Sports, AMS - Ageing & Vitality, APH - Personalized Medicine, Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, HUS Psychiatry, Department of Public Health, Clinicum, Nuorisopsykiatria, Faculty Common Matters (Faculty of Social Sciences), Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Biostatistics Helsinki, Anna Keski-Rahkonen / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, Internal medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, Mullins N., Kang J., Campos A.I., Coleman J.R.I., Edwards A.C., Galfalvy H., Levey D.F., Lori A., Shabalin A., Starnawska A., Su M.-H., Watson H.J., Adams M., Awasthi S., Gandal M., Hafferty J.D., Hishimoto A., Kim M., Okazaki S., Otsuka I., Ripke S., Ware E.B., Bergen A.W., Berrettini W.H., Bohus M., Brandt H., Chang X., Chen W.J., Chen H.-C., Crawford S., Crow S., DiBlasi E., Duriez P., Fernandez-Aranda F., Fichter M.M., Gallinger S., Glatt S.J., Gorwood P., Guo Y., Hakonarson H., Halmi K.A., Hwu H.-G., Jain S., Jamain S., Jimenez-Murcia S., Johnson C., Kaplan A.S., Kaye W.H., Keel P.K., Kennedy J.L., Klump K.L., Li D., Liao S.-C., Lieb K., Lilenfeld L., Liu C.-M., Magistretti P.J., Marshall C.R., Mitchell J.E., Monson E.T., Myers R.M., Pinto D., Powers A., Ramoz N., Roepke S., Rozanov V., Scherer S.W., Schmahl C., Sokolowski M., Strober M., Thornton L.M., Treasure J., Tsuang M.T., Witt S.H., Woodside D.B., Yilmaz Z., Zillich L., Adolfsson R., Agartz I., Air T.M., Alda M., Alfredsson L., Andreassen O.A., Anjorin A., Appadurai V., Soler 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F., Tsitsika A., Tyszkiewicz-Nwafor M., Tziouvas K., van Elburg A.A., van Furth E.F., Wade T.D., Wagner G., Walton E., Whiteman D.C., Wichmann H.E., Widen E., Yao S., Zeggini E., Zerwas S., Zipfel S., Jungkunz M., Dietl L., Schwarze C.E., Dahmen N., Schott B.H., Mobascher A., Crivelli S., Dennis M.F., Harvey P.D., Carter B.W., Huffman J.E., Jacobson D., Madduri R., Olsen M.K., Pestian J., Gaziano J.M., Muralidhar S., Ramoni R., Beckham J., Chang K.-M., O'Donnell C.J., Tsao P.S., Breeling J., Huang G., Romero J.P.C., Moser J., Whitbourne S.B., Brewer J.V., Aslan M., Connor T., Argyres D.P., Stephens B., Brophy M.T., Humphries D.E., Selva L.E., Do N., Shayan S., Cho K., Pyarajan S., Hauser E., Sun Y., Zhao H., Wilson P., McArdle R., Dellitalia L., Mattocks K., Harley J., Zablocki C.J., Whittle J., Jacono F., Gutierrez S., Gibson G., Hammer K., Kaminsky L., Villareal G., Kinlay S., Xu J., Hamner M., Mathew R., Bhushan S., Iruvanti P., Godschalk M., Ballas Z., Ivins D., Mastorides S., Moorman J., Gappy S., Klein J., Ratcliffe N., Florez H., Okusaga O., Murdoch M., Sriram P., Yeh S.S., Tandon N., Jhala D., Aguayo S., Cohen D., Sharma S., Liangpunsakul S., Oursler K.A., Whooley M., Ahuja S., Constans J., Meyer P., Greco J., Rauchman M., Servatius R., Gaddy M., Wallbom A., Morgan T., Stapley T., Sherman S., Ross G., Tsao P., Strollo P., Boyko E., Meyer L., Gupta S., Huq M., Fayad J., Hung A., Lichy J., Hurley R., Robey B., Striker R., Erlangsen A., Kessler R.C., Porteous D., Ursano R.J., Wasserman D., Coon H., Demontis D., Docherty A.R., Kuo P.-H., Mann J.J., Renteria M.E., Stein M.B., and Willour V.
Subjects: LD SCORE REGRESSION, Genome-wide association study, Suicide, Attempted, 3124 Neurology and psychiatry, 0302 clinical medicine, Risk Factors, Insomnia, Suicide attempt, GWAS, Suïcidi, Depression (differential diagnoses), Cause of death, Psychiatry, 0303 health sciences, Factors de risc en les malalties, Mental Disorders, Genetic Correlation, Genome-wide Association Study, Pleiotropy, Polygenicity, Suicide, Suicide Attempt, DEPRESSION, 3. Good health, Genetic correlation, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Depressive Disorder, Major, Mental illness, Cohort, SEX, medicine.symptom, Human, medicine.medical_specialty, Risk factors in diseases, BF, Locus (genetics), BEHAVIORS, Psykiatri, EVENTS, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, ddc:610, GENOME-WIDE ASSOCIATION, IDEATION, Socioeconomic status, METAANALYSIS, Biological Psychiatry, 030304 developmental biology, business.industry, Risk Factor, Genetic architecture, THOUGHTS, RC0321, business, Malalties mentals, 030217 neurology & neurosurgery
Abstract: Statistical analyses were carried out on the NL Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and the Mount Sinai high performance computing cluster (http://hpc.mssm.edu), which is supported by the Office of Research Infrastructure of the National Institutes of Health (Grant Nos. S10OD018522 and S10OD026880). This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN. This work was funded by the National Institutes of Health (Grant Nos. R01MH116269 and R01MH121455 [to DMR]), NIGMS of the National Institutes of Health (Grant No. T32GM007347 [to JK]), and the Brain & Behavior Research Foundation (NARSAD Young Investigator Award No. 29551 [to NM])., BACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders., Office of Research Infrastructure of the National Institutes of Health S10OD018522 S10OD026880, United States Department of Health & Human Services, National Institutes of Health (NIH) - USA R01MH116269 R01MH121455, NIH National Institute of General Medical Sciences (NIGMS) T32GM007347 NARSAD 29551
Published: 2022

188. An uncertain permutation flow shop predictive scheduling problem with processing interruption

Author: Jiayu Shen, Yuanji Shi, Jianxin Shi, Yunzhong Dai, and Wei Li
Subjects: Statistics and Probability, Statistical and Nonlinear Physics
Published: 2023

189. A review on dryout and Post-dryout heat transfer inside tubes and tube bundles

Author: Jianxin Shi, Xiang Yu, Baozhi Sun, Wanze Wu, Xin Zhang, and Zhirui Zhao
Subjects: Energy Engineering and Power Technology, Industrial and Manufacturing Engineering
Published: 2023

190. Applying an improved particle swarm optimization algorithm to ship energy saving

Author: Wei Du, Yanjun Li, Jianxin Shi, Baozhi Sun, Chunhui Wang, and Baitong Zhu
Subjects: General Energy, Mechanical Engineering, Building and Construction, Electrical and Electronic Engineering, Pollution, Industrial and Manufacturing Engineering, Civil and Structural Engineering
Published: 2023

191. Grain Boundary Josephson Junction Harmonic Mixer Coupled With a Bowtie Loaded Meander Antenna With Zero-Bias Operation

Author: Wei Chen, Zhi Ning Chen, Peiheng Wu, Huabing Wang, Haifeng Geng, Tao Hua, Jian Chen, Jianxin Shi, Weiwei Xu, Xiang Gao, and Mei Yu
Subjects: Josephson effect, Physics, business.industry, Local oscillator, Energy conversion efficiency, Harmonic mixer, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Harmonic analysis, Harmonic, Optoelectronics, Harmonic number, Electrical and Electronic Engineering, Antenna (radio), business
Abstract: The high- T c superconducting (HTS) bicrystal YBa2Cu3O7–δ (YBCO) zero-bias-operation Josephson junction (JJ) harmonic mixer coupled with a bowtie loaded meander antenna (BLMA) is proposed and studied at 0.21 THz. When the JJ mixer coupled with the BLMA, the maximal harmonic number increases up to 146 with the conversion efficiency of −63.6 dB at the bath temperature around 4.6 K compared to a mixer coupled with a log-periodic antenna (LPA) of only a maximal harmonic number of 46 with the conversion efficiency of −71.6 dB. The mixer coupled with the BLMA has a higher order harmonic mixing with a lower local oscillator (LO) power of 1.26 dBm, which further illustrates its superiority to that coupled with a LPA with the LO power of 5.59 dBm. The experiment verifies the merits of the JJ harmonic mixer operating at zero bias as a promising device in terahertz regions.
Published: 2019

192. Overexpression of the

Author: Jihyun, Kim, Jeniffer, Silva, Chanwoo, Park, Younghun, Kim, Nayeon, Park, Johan, Sukweenadhi, Junping, Yu, Jianxin, Shi, Dabing, Zhang, Keun Ki, Kim, Hong-Joo, Son, Hyeon Cheal, Park, Chang-Oh, Hong, Kwang Min, Lee, and Yu-Jin, Kim
Abstract: Cytochrome P450 (CYP) catalyzes a wide variety of monooxygenation reactions in plant primary and secondary metabolisms. Land plants contain CYP703, belonging to the CYP71 clan, which catalyzes the biochemical pathway of fatty acid hydroxylation, especially in male reproductive tissues. Korean/Asian ginseng (
Published: 2021

193. QTL mapping and candidate gene analysis of low temperature germination in rice (

Author: Feng, Mao, Depeng, Wu, Fangfang, Lu, Xin, Yi, Yujuan, Gu, Bin, Liu, Fuxia, Liu, Tang, Tang, Jianxin, Shi, Xiangxiang, Zhao, Lei, Liu, and Lilian, Ji
Abstract: Low temperature germination (LTG) is a key agronomic trait in rice (
Published: 2021

194. Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk

Author: Amy Miles, Martin Preisig, Yuliya S. Nikolova, Jianxin Shi, Mark Adams, Fernanda Caroline dos Santos, Glyn Lewis, Rudolf Uher, Lisa Jones, Brenda W.J.H. Penninx, Etienne Sibille, Roy H. Perlis, Cathryn M. Lewis, Andrew M. McIntosh, James B. Potash, Myrna M. Weissman, Ahmad R. Hariri, Bernhard T. Baune, Jordan W. Smoller, Miguel E. Rentería, Dorret I. Boomsma, Giorgio Pistis, Enda M. Byrne, Steven P. Hamilton, Douglas F. Levinson, Enrique Castelao, Ian Jones, K Oliver Schubert, Biological Psychology, APH - Mental Health, APH - Methodology, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Digital Health
Subjects: Oncology, Male, medicine.medical_specialty, Multifactorial Inheritance, DISORDERS, Neurogenetics, Genome-wide association study, Article, Young Adult, SDG 3 - Good Health and Well-being, DSM-IV, Internal medicine, Medicine, Humans, Genetic Predisposition to Disease, Young adult, Gyrification, Depression (differential diagnoses), Pharmacology, Depressive Disorder, Major, Depression, business.industry, Brain morphometry, Brain, Depression/genetics, Human brain, ASSOCIATION, medicine.disease, Brain/diagnostic imaging, AMYGDALA, Psychiatry and Mental health, medicine.anatomical_structure, ONSET, Major depressive disorder, Female, business, Transcriptome, Depressive Disorder, Major/genetics
Abstract: Studies in post-mortem human brain tissue have associated major depressive disorder (MDD) with cortical transcriptomic changes, whose potential in vivo impact remains unexplored. To address this translational gap, we recently developed a transcriptome-based polygenic risk score (T-PRS) based on common functional variants capturing ‘depression-like’ shifts in cortical gene expression. Here, we used a non-clinical sample of young adults (n = 482, Duke Neurogenetics Study: 53% women; aged 19.8 ± 1.2 years) to map T-PRS onto brain morphology measures, including Freesurfer-derived subcortical volume, cortical thickness, surface area, and local gyrification index, as well as broad MDD risk, indexed by self-reported family history of depression. We conducted side-by-side comparisons with a PRS independently derived from a Psychiatric Genomics Consortium (PGC) MDD GWAS (PGC-PRS), and sought to link T-PRS with diagnosis and symptom severity directly in PGC-MDD participants (n = 29,340, 59% women; 12,923 MDD cases, 16,417 controls). T-PRS was associated with smaller amygdala volume in women (t = −3.478, p = 0.001) and lower prefrontal gyrification across sexes. In men, T-PRS was associated with hypergyrification in temporal and occipital regions. Prefrontal hypogyrification mediated a male-specific indirect link between T-PRS and familial depression (b = 0.005, p = 0.029). PGC-PRS was similarly associated with lower amygdala volume and cortical gyrification; however, both effects were male-specific and hypogyrification emerged in distinct parietal and temporo-occipital regions, unassociated with familial depression. In PGC-MDD, T-PRS did not predict diagnosis (OR = 1.007, 95% CI = [0.997–1.018]) but correlated with symptom severity in men (rho = 0.175, p = 7.957 × 10−4) in one cohort (N = 762, 48% men). Depression-like shifts in cortical gene expression have sex-specific effects on brain morphology and may contribute to broad depression vulnerability in men.
Published: 2021

195. Iterative Learning Control for Accelerated Inhibition Effect of Initial State Error

Author: Jianxin Shi, Longfei Zhang, and Zhi Li
Published: 2021

196. Dabing Zhang (July 5, 1967-June 22, 2023).

Author: Zheng Yuan, Jianxin Shi, Litao Yang, Guoqiang Huang, and Wanqi Liang
Published: 2023
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197. Molecular mechanisms underlying plant environment-sensitive genic male sterility and fertility restoration.

Author: Dongdong Liu, Jianxin Shi, Wanqi Liang, and Dabing Zhang
Published: 2023
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198. Increasing production and bio-accessibility of natural astaxanthin in Haematococcus pluvialis by screening and culturing red motile cells under high light condition

Author: Feng, Chen, Nianjun, Xu, Kai, Liu, Rongrong, Lv, Jianxin, Shi, Jianguo, Liu, Xue, Sun, and Chaoyang, Hu
Subjects: Environmental Engineering, Renewable Energy, Sustainability and the Environment, Bioengineering, General Medicine, Waste Management and Disposal
Abstract: The thick cell wall and low astaxanthin productivity were two important bottlenecks limiting industrial production of astaxanthin via Haematococcus pluvialis. This study reports a strategy for increasing production and bio-accessibility of astaxanthin in H. pluvialis by screening and culturing red motile cells under high light condition. Compared with the original strain NBU489, the biomass of the novel isolated strain RMS10 increased by 31.9% under low light condition, and the astaxanthin content (44.6 mg/g) increased by 53.3% after 9-day high light induction, which were readily extracted and digested without cell disruption. Subsequent transcriptomic analysis confirmed the accumulation of astaxanthin and lipids in RMS10 cells as expression of genes associated with biosynthesis of fatty acid and astaxanthin were up-regulated, while those involved in thick cell wall biosynthesis and reactive oxygen species scavenging were down-regulated in RMS10. Collectively, this study provides a simple and effective method for economical production of natural astaxanthin.
Published: 2022

199. Antibacterial Properties and Mechanism of Lysozyme-Modified ZnO Nanoparticles

Author: Chengyu Lu, Hongmei Lu, Jianxin Shi, Zhi Chen, Xiaoliu Liu, Dudu Wu, Kangrui Yuan, Kun Liu, and Wei Liu
Subjects: biology, Biocompatibility, Chemistry, ZnO nanoparticles, General Chemistry, biology.organism_classification, Antimicrobial, medicine.disease_cause, chemistry.chemical_compound, enzyme, antibacterial activity, Staphylococcus aureus, medicine, Agar diffusion test, Lysozyme, Fourier transform infrared spectroscopy, Antibacterial activity, QD1-999, lysozyme, Bacteria, nanomaterials, Nuclear chemistry, Original Research
Abstract: The lysozyme-modified nanoparticles (LY@ZnO NPs) were synthesized by the reduction–oxidation method, and the morphology and structure of LY@ZnO were analyzed by Fourier transform infrared (FTIR) spectroscopy, powder X-ray diffraction (XRD), scanning electron microsclope (SEM), and particle size analysis. The antibacterial effects of LY@ZnO against Escherichia coli (E. coli, Gram-negative bacteria) and Staphylococcus aureus (S. aureus, Gram-positive bacteria) were discussed by measuring the zone of inhibition (ZOI) and growth inhibition. The antimicrobial experiments showed that the LY@ZnO NPs possessed better antibacterial activity than ZnO. Besides, the antibacterial mechanism of LY@ZnO was also investigated, which was attributed to the generation of reactive oxygen species (ROS). Furthermore, the toxicities of LY@ZnO in vivo and in vitro were discussed by the cell counting kit-8 method and animal experiments, showing that LY@ZnO possessed excellent biocompatibility. Finally, the therapeutic effect of LY@ZnO on a rat skin infection model caused by methicillin-resistant Staphylococcus aureus (MRSA) was also studied, which exhibited good anti-infective activity. Our findings showed that LY@ZnO possessed remarkable antibacterial ability due to its excellent membrane permeability and small particle size. Besides, LY@ZnO also exhibited certain stability and great safety, which showed tremendous prospects for microbial infection in patients. It would also be helpful for a better understanding of the enzyme-modified nanomaterials against bacteria.
Published: 2021

200. RNA-Seq based exploration of differentially expressed genes (DEGs) in cotton(Gossypium hirsutum. L) upon infection with Aspergillus tubingensis

Author: Muhammad Farooq Hussain Munis, Kinza Minhas, Urooj Haroon, Hira Saleem, Maria Khizar, Mahnoor Akbar, M. Ali, Jianxin Shi, Fiza Liaquat, Asif Kamal, and Hassan Javed Chaudhary
Subjects: Genetics, Differentially expressed genes, Aspergillus tubingensis, RNA-Seq, Biology, Gossypium hirsutum
Abstract: Differentially expressed genes help in exploring plant defense mechanism under variable stress conditions. In current investigation, RNA sequencing was executed to explore the differential gene expression in resistant and susceptible varieties of Cotton (Gossypium hirsutum), upon infection with Aspergillus tubingensis. Comparative RNA-Seq of control and infected plants was performed using Illumina HiSeq 2,500. Overall 79.84 G clean data was generated and 6,558 DEGs were identified in both varieties, in response to pathogen inoculation. Differentially expressed genes were found to be involved in defense, antifungal response, signaling pathways, oxidative burst and transcription. Genes involved in defense responses, MAPK signaling, cell wall fortification and signal transduction were highly induced in resistant variety. Real time PCR also revealed the up regulation of MAPKKK YODA like, L-ascorbate oxidase, late embryogenesis abundant protein (At1g64065) and flavonoid 3',5'-hydroxylase-like, in resistant variety. Elevated accumulation of such DEGs in resistant variety could function as the source for identifying biomarkers for breeding and these can be used as potential candidate genes for transgenic manipulation. Their study also helped in understanding complex plant-fungal interaction and advanced the understanding of plant-microbe interaction. Inclusively, our findings provide an indispensable foundation for advanced understanding of the plant resistance mechanisms of cotton.
Published: 2021

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