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您的检索式：作者名="Lanting Guo"
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| 1 | PICOTEES:a privacy-preserving online service of phenotype exploration for genetic-diagnostic variants from Chinese children cohorts显示文摘The growth in biomedical data resources has raised potential privacy concerns and risks of genetic information leakage. For instance, exome sequencing aids clinical decisions by comparing data through web services, but it requires significant trust between users and providers. To alleviate privacy concerns, the most commonly used strategy is to anonymize sensitive data. Unfortunately, studies have shown that anonymization is insufficient to protect against reidentification attacks. Recently, privacy-preserving technologies have been applied to preserve application utility while protecting the privacy of biomedical data. We present the PICOTEES framework, a privacy-preserving online service of phenotype exploration for genetic-diagnostic variants (http://gffzz63bc6e6362d14768sv0bxbf0q6kfc6q6c.ffgz.tsg.suse.edu.cn/). PICOTEES enables privacy-preserving queries of the phenotype spectrum for a single variant by utilizing trusted execution environment technology, which can protect the privacy of the user's query information, backend models, and data, as well as the final results. We demonstrate the utility and performance of PICOTEES by exploring a bioinformatics dataset. The dataset is from a cohort containing 20,909 genetic testing patients with 3,152,508 variants from the Children's Hospital of Fudan University in China, dominated by the Chinese Han population (>99.9%). Our query results yield a large number of unreported diagnostic variants and previously reported pathogenicity. | Xinran Dong Yulan Lu Lanting Guo Chuan Li Qi Ni Bingbing Wu Huijun Wang Lin Yang Songyang Wu Qi Sun Hao Zheng Wenhao Zhou Shuang Wang | 2024 | Journal of Genetics and Genomics2024，51，2： | 0 |
| 2 | Investigation of white matter functional networks underlying different behavioral profiles in attention-deficit/hyperactivity disorder显示文摘Background Cortical functional network alterations have been widely accepted as the neural basis of attention-deficit/hyperactivity disorder(ADHD).Recently,white matter has also been recognized as a novel neuroimaging marker of psychopathology and has been used as a complement to cortical functional networks to investigate brain–behavior relationships.However,disorder-specific features of white matter functional networks(WMFNs)are less well understood than those of gray matter functional networks.In the current study,we constructed WMFNs using a new strategy to characterize behavior-related network features in ADHD.Methods We recruited 46 drug-nale boys with ADHD and 46 typically developing(TD)boys,and used clustering analysis on restingstate functional magnetic resonance imaging data to generate WMFNs in each group.Intrinsic activity within each network was extracted,and the associations between network activity and behavior measures were assessed using correlation analysis.Results Nine WMFNs were identified for both ADHD and TD participants.However,boys with ADHD showed a splitting of the inferior corticospinal–cerebellar network and lacked a cognitive control network.In addition,boys with ADHD showed increased activity in the dorsal attention network and somatomotor network,which correlated positively with attention problems and hyperactivity symptom scores,respectively,while they presented decreased activity in the frontoparietal network and frontostriatal network in association with poorer performance in response inhibition,working memory,and verbal fluency.Conclusions We discovered a dual pattern of white matter network activity in drug-nale ADHD boys,with hyperactive symptom-related networks and hypoactive cognitive networks.These findings characterize two distinct types of WMFN in ADHD psychopathology. | Xuan Bu Yingxue Gao Kaili Liang Ying Chen Lanting Guo Xiaoqi Huang | 2022 | Psychoradiology2022，2，3： | 0 |
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