Resultados de procura - Glessner, Joseph T.

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

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ParseCNV integrative copy number variation association software with quality tracking por 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 por Qu, Hui-Qi, Qu, Jingchun, Glessner, Joseph, Hakonarson, Hakon

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Phasing of Many Thousands of Genotyped Samples por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Qu, Jingchun, Glessner, Joseph, Sleiman, Patrick M. A., Hakonarson, Hakon

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