| 1. |
- Lu, Yingchang, et al.
(författare)
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A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk.
- 2018
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Ingår i: Cancer Research. - 0008-5472 .- 1538-7445. ; 78:18, s. 5419-5430
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Tidskriftsartikel (refereegranskat)abstract
- .AbstractLarge-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10−6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10−7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10−3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419–30. ©2018 AACR.
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| 2. |
- Chang, V., et al.
(författare)
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The market challenge of wind turbine industry-renewable energy in PR China and Germany
- 2021
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Ingår i: Technological Forecasting and Social Change. - : Elsevier BV. - 0040-1625. ; 166
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents the role of global Industry 4.0 technology management in the growth of the wind turbine industry. The article begins with a brief overview of the Industry 4.0 wind turbine industry development, focusing on factors shaping this development. The legal policies are identified as one of the significant factors, especially in PR China and Germany. A detailed secondary data analysis of the country-specific systems is presented, followed by the analysis of patents and companies in both countries to understand better how the development, management and transfer of technology affected the different factors and the global patterns. An effective approach of acquiring technology for local enterprises as well as market development entry mode for the foreign technology holding companies are both identified. Accessing technology through licensing, entering joint ventures, or acquiring knowledge-intensive companies can be identified as common and often successful industry approaches. To develop, obtain, or maintain competitive advantages in the wind turbine industry, we suggest that the governments issue relevant legislation and regulations to support the upgrading of the industry, and the enterprises can access and manage the technology through the approaches mentioned above.
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