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  1. Article ; Online: Effect of mechanical combined with electromagnetic stirring on the dispersity of carbon fibers in the aluminum matrix

    Guanglong Li / Yingdong Qu / Yaohua Yang / Ruirun Chen / Qiwen Zhou / Rongde Li

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    2020  Volume 8

    Abstract: Abstract In order to improve the uneven distribution of carbon fibers (CFs) in the matrix by traditional single mechanical stirring, mechanical combined with electromagnetic (M-E) stirring was used to prepare short carbon fibers reinforced aluminum ... ...

    Abstract Abstract In order to improve the uneven distribution of carbon fibers (CFs) in the matrix by traditional single mechanical stirring, mechanical combined with electromagnetic (M-E) stirring was used to prepare short carbon fibers reinforced aluminum matrix (Csf/Al) composites. The 3-D flow field of aluminum melt under mechanical/M-E stirring were calculated and compared. The calculation results show that the complexity of flow field under M-E stirring could be significantly enhanced relative to a single mechanical stirring, especially there was a strong melt flow near the crucible wall due to the skin effect. It was found that except the inertial force under mechanical stirring and the melt collision with the crucible walls, CFs were also subjected to the electromagnetic force and the oscillating flow between the eddy currents, which would promote the dispersity of the short CFs in the composites. The experimental results are consistent with the calculation results. The experimental results show that the distribution of CFs at each position in the composite samples prepared under M-E stirring was stable. The uniform distribution of CFs in the composites would play an important role in improving the overall performance of the Csf/Al composites.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Sex-Specific Associations between Gut Microbiome and Non-Alcoholic Fatty Liver Disease among Urban Chinese Adults

    Jiajun Shi / Yaohua Yang / Wanghong Xu / Hui Cai / Jie Wu / Jirong Long / Qiuyin Cai / Wei Zheng / Charles R. Flynn / Xiao-Ou Shu / Danxia Yu

    Microorganisms, Vol 9, Iss 2118, p

    2021  Volume 2118

    Abstract: Non-alcoholic fatty liver disease (NAFLD) has been linked to altered gut microbiome; however, evidence from large population-based studies is limited. We compared gut microbiome profiles of 188 male and 233 female NAFLD cases with 571 male and 567 female ...

    Abstract Non-alcoholic fatty liver disease (NAFLD) has been linked to altered gut microbiome; however, evidence from large population-based studies is limited. We compared gut microbiome profiles of 188 male and 233 female NAFLD cases with 571 male and 567 female controls from two longitudinal studies of urban Chinese adults. History of NAFLD was assessed during surveys administered in 2004–2017. Microbiota were assessed using 16S rRNA sequencing of stool samples collected in 2015–2018. Associations of NAFLD with microbiome diversity and composition were evaluated by generalized linear or logistic regression models. Compared with controls, male cases had lower microbial α-diversity, higher abundance of genera Dialister and Streptococcus and Bifidobacterium species, lower abundance of genus Phascolarctobacterium , and lower prevalence of taxa including order RF39 (all p < 0.05). In contrast, female cases had higher α-diversity, higher abundance of genus Butyricimonas and a family of order Clostridiales , lower abundance of Dialister and Bifidobacterium species, and higher prevalence of RF39 . Significant NAFLD–sex interactions were found for α-diversity and above taxa (all false discovery rate < 0.1). In conclusion, we observed sex-specific gut microbiome features related to history of NAFLD. Further studies are needed to validate our findings and evaluate the health effects of NAFLD-related gut microbiota.
    Keywords non-alcoholic fatty liver disease ; gut microbiota ; prospective cohort study ; Asian population ; Biology (General) ; QH301-705.5
    Subject code 590
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

    Lang Wu / Yaohua Yang / Xingyi Guo / Xiao-Ou Shu / Qiuyin Cai / Xiang Shu / Bingshan Li / Ran Tao / Chong Wu / Jason B. Nikas / Yanfa Sun / Jingjing Zhu / Monique J. Roobol / Graham G. Giles / Hermann Brenner / Esther M. John / Judith Clements / Eli Marie Grindedal / Jong Y. Park /
    Janet L. Stanford / Zsofia Kote-Jarai / Christopher A. Haiman / Rosalind A. Eeles / Wei Zheng / Jirong Long / The PRACTICAL consortium / CRUK Consortium / BPC3 Consortium / CAPS Consortium / PEGASUS Consortium

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 11

    Abstract: Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG ... ...

    Abstract Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.
    Keywords Science ; Q
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

    Lang Wu / Yaohua Yang / Xingyi Guo / Xiao-Ou Shu / Qiuyin Cai / Xiang Shu / Bingshan Li / Ran Tao / Chong Wu / Jason B. Nikas / Yanfa Sun / Jingjing Zhu / Monique J. Roobol / Graham G. Giles / Hermann Brenner / Esther M. John / Judith Clements / Eli Marie Grindedal / Jong Y. Park /
    Janet L. Stanford / Zsofia Kote-Jarai / Christopher A. Haiman / Rosalind A. Eeles / Wei Zheng / Jirong Long / The PRACTICAL consortium / CRUK Consortium / BPC3 Consortium / CAPS Consortium / PEGASUS Consortium

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 11

    Abstract: Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG ... ...

    Abstract Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.
    Keywords Science ; Q
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants

    Xiang Shu / Jirong Long / Qiuyin Cai / Sun-Seog Kweon / Ji-Yeob Choi / Michiaki Kubo / Sue K. Park / Manjeet K. Bolla / Joe Dennis / Qin Wang / Yaohua Yang / Jiajun Shi / Xingyi Guo / Bingshan Li / Ran Tao / Kristan J. Aronson / Kelvin Y. K. Chan / Tsun L. Chan / Yu-Tang Gao /
    Mikael Hartman / Weang Kee Ho / Hidemi Ito / Motoki Iwasaki / Hiroji Iwata / Esther M. John / Yoshio Kasuga / Ui Soon Khoo / Mi-Kyung Kim / Sun-Young Kong / Allison W. Kurian / Ava Kwong / Eun-Sook Lee / Jingmei Li / Artitaya Lophatananon / Siew-Kee Low / Shivaani Mariapun / Koichi Matsuda / Keitaro Matsuo / Kenneth Muir / Dong-Young Noh / Boyoung Park / Min-Ho Park / Chen-Yang Shen / Min-Ho Shin / John J. Spinelli / Atsushi Takahashi / Chiuchen Tseng / Shoichiro Tsugane / Anna H. Wu / Yong-Bing Xiang

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 9

    Abstract: In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated ...

    Abstract In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated in an independent disease cohort.
    Keywords Science ; Q
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Re-evaluating genetic variants identified in candidate gene studies of breast cancer risk using data from nearly 280,000 women of Asian and European ancestryResearch in context

    Yaohua Yang / Xiang Shu / Xiao-ou Shu / Manjeet K. Bolla / Sun-Seog Kweon / Qiuyin Cai / Kyriaki Michailidou / Qin Wang / Joe Dennis / Boyoung Park / Keitaro Matsuo / Ava Kwong / Sue Kyung Park / Anna H. Wu / Soo Hwang Teo / Motoki Iwasaki / Ji-Yeob Choi / Jingmei Li / Mikael Hartman /
    Chen-Yang Shen / Kenneth Muir / Artitaya Lophatananon / Bingshan Li / Wanqing Wen / Yu-Tang Gao / Yong-Bing Xiang / Kristan J. Aronson / John J. Spinell / Manuela Gago-Dominguez / Esther M. John / Allison W. Kurian / Jenny Chang-Claude / Shou-Tung Chen / Thilo Dörk / D. Gareth R. Evans / Marjanka K. Schmidt / Min-Ho Shin / Graham G. Giles / Roger L. Milne / Jacques Simard / Michiaki Kubo / Peter Kraft / Daehee Kang / Douglas F. Easton / Wei Zheng / Jirong Long

    EBioMedicine, Vol 48, Iss , Pp 203-

    2019  Volume 211

    Abstract: Background: We previously conducted a systematic field synopsis of 1059 breast cancer candidate gene studies and investigated 279 genetic variants, 51 of which showed associations. The major limitation of this work was the small sample size, even pooling ...

    Abstract Background: We previously conducted a systematic field synopsis of 1059 breast cancer candidate gene studies and investigated 279 genetic variants, 51 of which showed associations. The major limitation of this work was the small sample size, even pooling data from all 1059 studies. Thereafter, genome-wide association studies (GWAS) have accumulated data for hundreds of thousands of subjects. It's necessary to re-evaluate these variants in large GWAS datasets. Methods: Of these 279 variants, data were obtained for 228 from GWAS conducted within the Asian Breast Cancer Consortium (24,206 cases and 24,775 controls) and the Breast Cancer Association Consortium (122,977 cases and 105,974 controls of European ancestry). Meta-analyses were conducted to combine the results from these two datasets. Findings: Of those 228 variants, an association was observed for 12 variants in 10 genes at a Bonferroni-corrected threshold of P < 2·19 × 10−4. The associations for four variants reached P < 5 × 10−8 and have been reported by previous GWAS, including rs6435074 and rs6723097 (CASP8), rs17879961 (CHEK2) and rs2853669 (TERT). The remaining eight variants were rs676387 (HSD17B1), rs762551 (CYP1A2), rs1045485 (CASP8), rs9340799 (ESR1), rs7931342 (CHR11), rs1050450 (GPX1), rs13010627 (CASP10) and rs9344 (CCND1). Further investigating these 10 genes identified associations for two additional variants at P < 5 × 10−8, including rs4793090 (near HSD17B1), and rs9210 (near CYP1A2), which have not been identified by previous GWAS. Interpretation: Though most candidate gene variants were not associated with breast cancer risk, we found 14 variants showing an association. Our findings warrant further functional investigation of these variants. Fund: National Institutes of Health. Keywords: Re-evaluation, Genetic variants, Candidate gene studies, Breast cancer risk
    Keywords Medicine ; R ; Medicine (General) ; R5-920
    Subject code 616
    Language English
    Publishing date 2019-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants

    Xiang Shu / Jirong Long / Qiuyin Cai / Sun-Seog Kweon / Ji-Yeob Choi / Michiaki Kubo / Sue K. Park / Manjeet K. Bolla / Joe Dennis / Qin Wang / Yaohua Yang / Jiajun Shi / Xingyi Guo / Bingshan Li / Ran Tao / Kristan J. Aronson / Kelvin Y. K. Chan / Tsun L. Chan / Yu-Tang Gao /
    Mikael Hartman / Weang Kee Ho / Hidemi Ito / Motoki Iwasaki / Hiroji Iwata / Esther M. John / Yoshio Kasuga / Ui Soon Khoo / Mi-Kyung Kim / Sun-Young Kong / Allison W. Kurian / Ava Kwong / Eun-Sook Lee / Jingmei Li / Artitaya Lophatananon / Siew-Kee Low / Shivaani Mariapun / Koichi Matsuda / Keitaro Matsuo / Kenneth Muir / Dong-Young Noh / Boyoung Park / Min-Ho Park / Chen-Yang Shen / Min-Ho Shin / John J. Spinelli / Atsushi Takahashi / Chiuchen Tseng / Shoichiro Tsugane / Anna H. Wu / Yong-Bing Xiang / Taiki Yamaji / Ying Zheng / Roger L. Milne / Alison M. Dunning / Paul D. P. Pharoah / Montserrat García-Closas / Soo-Hwang Teo / Xiao-ou Shu / Daehee Kang / Douglas F. Easton / Jacques Simard / Wei Zheng

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 9

    Abstract: In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated ...

    Abstract In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated in an independent disease cohort.
    Keywords Science ; Q
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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