Canlyniadau Chwilio - Glessner, Joseph T.

Common variants in polygenic schizophrenia gan Glessner, Joseph T, Hakonarson, Hakon

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ParseCNV integrative copy number variation association software with quality tracking gan Glessner, Joseph T., Li, Jin, Hakonarson, Hakon

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Mendelian randomization study of obesity and type 2 diabetes in hospitalized COVID-19 patients gan Qu, Hui-Qi, Qu, Jingchun, Glessner, Joseph, Hakonarson, Hakon

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Phasing of Many Thousands of Genotyped Samples gan Williams, Amy L., Patterson, Nick, Glessner, Joseph, Hakonarson, Hakon, Reich, David

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Circulating LIGHT (TNFSF14) and Interleukin-18 Levels in Sepsis-Induced Multi-Organ Injuries gan Qu, Hui-Qi, Snyder, James, Connolly, John, Glessner, Joseph, Kao, Charlly, Sleiman, Patrick, Hakonarson, Hakon

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Large Copy-Number Variations Are Enriched in Cases With Moderate to Extreme Obesity gan Wang, Kai, Li, Wei-Dong, Glessner, Joseph T., Grant, Struan F.A., Hakonarson, Hakon, Price, R. Arlen

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GWAS meta analysis identifies TSNARE1 as a novel Schizophrenia / Bipolar susceptibility locus gan Sleiman, Patrick, Wang, Dai, Glessner, Joseph, Hadley, Dexter, Gur, Raquel E., Cohen, Nadine, Li, Qingqin, Hakonarson, Hakon

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Genome-Wide Association Study of Maternal and Inherited Loci for Conotruncal Heart Defects gan Agopian, A. J., Mitchell, Laura E., Glessner, Joseph, Bhalla, Angela D., Sewda, Anshuman, Hakonarson, Hakon, Goldmuntz, Elizabeth

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Circulating LIGHT (TNFSF14) and Interleukin-18 Levels in Sepsis-Induced Multi-Organ Injuries gan Qu, Hui-Qi, Snyder, James, Connolly, John, Glessner, Joseph, Kao, Charlly, Sleiman, Patrick M.A., Hakonarson, Hakon

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Expansion of Schizophrenia Gene Network Knowledge Using Machine Learning Selected Signals From Dorsolateral Prefrontal Cortex and Amygdala RNA-seq Data gan Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Glessner, Joseph, Sleiman, Patrick A. M., Hakonarson, Hakon

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An electronic health record (EHR) phenotype algorithm to identify patients with attention deficit hyperactivity disorders (ADHD) and psychiatric comorbidities gan Slaby, Isabella, Hain, Heather S., Abrams, Debra, Mentch, Frank D., Glessner, Joseph T., Sleiman, Patrick M. A., Hakonarson, Hakon

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PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data gan Wang, Kai, Li, Mingyao, Hadley, Dexter, Liu, Rui, Glessner, Joseph, Grant, Struan F.A., Hakonarson, Hakon, Bucan, Maja

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Copy number variation analysis in the context of electronic medical records and large-scale genomics consortium efforts gan Connolly, John J., Glessner, Joseph T., Almoguera, Berta, Crosslin, David R., Jarvik, Gail P., Sleiman, Patrick M., Hakonarson, Hakon

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Microdeletions and Microduplications in Patients with Congenital Heart Disease and Multiple Congenital Anomalies gan Goldmuntz, Elizabeth, Paluru, Prasuna, Glessner, Joseph, Hakonarson, Hakon, Biegel, Jaclyn A., White, Peter S., Gai, Xiaowu, Shaikh, Tamim H.

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Microduplications at the 15q11.2 BP1–BP2 locus are enriched in patients with anorexia nervosa gan Chang, Xiao, qu, Huiqi, Liu, Yichuan, Glessner, Joseph, Hou, Cuiping, Wang, Fengxiang, Li, Jin, Sleiman, Patrick, Hakonarson, Hakon

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Mitochondrial DNA haplogroups and risk of attention deficit and hyperactivity disorder in European Americans gan Chang, Xiao, Liu, Yichuan, Mentch, Frank, Glessner, Joseph, Qu, Huiqi, Nguyen, Kenny, Sleiman, Patrick M. A., Hakonarson, Hakon

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MONTAGE: a new tool for high-throughput detection of mosaic copy number variation gan Glessner, Joseph T., Chang, Xiao, Liu, Yichuan, Li, Jin, Khan, Munir, Wei, Zhi, Sleiman, Patrick M. A., Hakonarson, Hakon

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Genetic correlations between COVID-19 and a variety of traits and diseases gan Chang, Xiao, Li, Yun, Nguyen, Kenny, Qu, Huiqi, Liu, Yichuan, Glessner, Joseph, Sleiman, Patrick M.A., Hakonarson, Hakon

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Modeling genetic inheritance of copy number variations gan Wang, Kai, Chen, Zhen, Tadesse, Mahlet G., Glessner, Joseph, Grant, Struan F. A., Hakonarson, Hakon, Bucan, Maja, Li, Mingyao

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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters gan Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Qu, Jingchun, Glessner, Joseph, Sleiman, Patrick M. A., Hakonarson, Hakon

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