Search

Your search keyword '"Hsu, Chih-Wei"' showing total 580 results
Start Over Author "Hsu, Chih-Wei" Publication Type Academic Journals
580 results on '"Hsu, Chih-Wei"'

5. Unveiling the key determinants and consequences of Virtual Reality in the immersion experience

Author

Guo Hui, Khan Asif, Hsu Chih-Wei, and Chen Shih-Chih

Subjects
interaction, vividness, embodiment, media novelty, immersion, perceived usefulness, satisfaction, Business, HF5001-6182
Abstract

In recent years, there has been significant advancement in virtual reality (VR) technology development. VR headsets have become lighter, offer higher resolution, and possess more powerful computational capabilities. Previous research has indicated that the level of immersion in operating technological products can positively impact user experiences. This study explores the effects of interaction, vividness, embodiment, and media novelty on immersion, perceived usefulness, satisfaction, and continuance intention. This study collected data from 150 users of virtual reality devices with the help of a survey methodology and analyzed the data with the help of the Partial Least Square – Structural Equation Model (PLS-SEM) technique. The results indicate that interaction and vividness do not directly influence immersion. However, embodiment and media novelty indirectly affect perceived usefulness, satisfaction, and continuance intention by increasing immersion. Our findings underscore the importance of embodiment and media novelty for users in virtual environments. When users can experience a genuine sense of embodiment and novelty in the virtual environment, their perception of usefulness, satisfaction, and intention to continue using VR is enhanced. These results provide valuable guidance for designing and applying virtual reality, aiming to improve user experiences and continuance intention. This study contributes to analyzing the antecedents and consequences of immersion and offers insights that can assist academic research, VR-related development, and businesses’ marketing efforts.

Published
2024
Full Text
View/download PDF

6. Association of Labor Epidural Analgesia Exposure with Long-Term Risk of Autism Spectrum Disorder in Offspring: A Meta-Analysis of Observational Studies

Author

Hung, Kuo-Chuan, Chen, Jen-Yin, Hsing, Chung-Hsi, Hsu, Chih-Wei, Liu, Ping-Hsin, Chang, Ying-Jen, Chen, Jui-Yi, Chiu, Sheng-Fu, and Sun, Cheuk-Kwan

Abstract

To investigate the association between labor epidural analgesia exposure and the risk of autism spectrum disorder in offspring, this meta-analysis reviewed relevant literature from Medline, Cochrane Library, Google Scholar, and EMBASE databases from inception to May 2022 to evaluate the overall adjusted risk of autism spectrum disorder in offspring (primary outcome) and adjusted risks of autism spectrum disorder focusing on sibling-matched data, children who were delivered vaginally, and duration of labor epidural analgesia exposure (secondary outcomes). Pooled results of seven eligible observational studies involving 4,021,406 children revealed slightly higher risks of autism spectrum disorder in children with labor epidural analgesia exposure than those without (hazard ratio = 1.11, 95% confidence interval: 1.06-1.16, I[superscript 2] = 67%, seven studies, level of evidence: very low). Consistent findings were found in subgroup analysis focusing on sibling data (hazard ratio: 1.10, 95% confidence interval: 1.02-1.18, I[superscript 2] = 0%, five studies) and children delivered vaginally (hazard ratio: 1.11, 95% confidence interval: 1.06-1.17, I[superscript 2] = 64%, seven studies). The tendency of an increased risk of autism spectrum disorder in children exposed to labor epidural analgesia <4 h was not observed in those exposed to labor epidural analgesia >8 h (two studies). Although our results demonstrated a slightly increased risk of autism spectrum disorder in offspring with previous labor epidural analgesia exposure, the small effect size and lack of cumulative dose-response effect precluded tangible evidence supporting the association.

Published
2023
Full Text
View/download PDF

7. Genome-wide screening reveals the genetic basis of mammalian embryonic eye development

Author

Chee, Justine M, Lanoue, Louise, Clary, Dave, Higgins, Kendall, Bower, Lynette, Flenniken, Ann, Guo, Ruolin, Adams, David J, Bosch, Fatima, Braun, Robert E, Brown, Steve DM, Chin, H-J Genie, Dickinson, Mary E, Hsu, Chih-Wei, Dobbie, Michael, Gao, Xiang, Galande, Sanjeev, Grobler, Anne, Heaney, Jason D, Herault, Yann, de Angelis, Martin Hrabe, Mammano, Fabio, Nutter, Lauryl MJ, Parkinson, Helen, Qin, Chuan, Shiroishi, Toshi, Sedlacek, Radislav, Seong, J-K, Xu, Ying, Brooks, Brian, McKerlie, Colin, Lloyd, KC Kent, Westerberg, Henrik, and Moshiri, Ala

Subjects
Biological Sciences, Genetics, Congenital Structural Anomalies, Rare Diseases, Human Genome, Eye Disease and Disorders of Vision, Pediatric, 2.1 Biological and endogenous factors, Eye, Humans, Mice, Animals, Eye Abnormalities, Anophthalmos, Microphthalmos, Coloboma, Mice, Knockout, Embryonic Development, Phenotype, Mammals, MAC spectrum, Eye development, Mouse, IMPC, Serine-glycine biosynthesis, CPLANE, International Mouse Phenotyping Consortium, Developmental Biology
Abstract

BackgroundMicrophthalmia, anophthalmia, and coloboma (MAC) spectrum disease encompasses a group of eye malformations which play a role in childhood visual impairment. Although the predominant cause of eye malformations is known to be heritable in nature, with 80% of cases displaying loss-of-function mutations in the ocular developmental genes OTX2 or SOX2, the genetic abnormalities underlying the remaining cases of MAC are incompletely understood. This study intended to identify the novel genes and pathways required for early eye development. Additionally, pathways involved in eye formation during embryogenesis are also incompletely understood. This study aims to identify the novel genes and pathways required for early eye development through systematic forward screening of the mammalian genome.ResultsQuery of the International Mouse Phenotyping Consortium (IMPC) database (data release 17.0, August 01, 2022) identified 74 unique knockout lines (genes) with genetically associated eye defects in mouse embryos. The vast majority of eye abnormalities were small or absent eyes, findings most relevant to MAC spectrum disease in humans. A literature search showed that 27 of the 74 lines had previously published knockout mouse models, of which only 15 had ocular defects identified in the original publications. These 12 previously published gene knockouts with no reported ocular abnormalities and the 47 unpublished knockouts with ocular abnormalities identified by the IMPC represent 59 genes not previously associated with early eye development in mice. Of these 59, we identified 19 genes with a reported human eye phenotype. Overall, mining of the IMPC data yielded 40 previously unimplicated genes linked to mammalian eye development. Bioinformatic analysis showed that several of the IMPC genes colocalized to several protein anabolic and pluripotency pathways in early eye development. Of note, our analysis suggests that the serine-glycine pathway producing glycine, a mitochondrial one-carbon donator to folate one-carbon metabolism (FOCM), is essential for eye formation.ConclusionsUsing genome-wide phenotype screening of single-gene knockout mouse lines, STRING analysis, and bioinformatic methods, this study identified genes heretofore unassociated with MAC phenotypes providing models to research novel molecular and cellular mechanisms involved in eye development. These findings have the potential to hasten the diagnosis and treatment of this congenital blinding disease.

Published
2023

15. The beneficial effect on cognition of noninvasive brain stimulation intervention in patients with dementia: a network meta-analysis of randomized controlled trials

Author

Tseng, Ping-Tao, Chen, Yen-Wen, Zeng, Bing-Yan, Zeng, Bing-Syuan, Hung, Chao-Ming, Sun, Cheuk-Kwan, Cheng, Yu-Shian, Stubbs, Brendon, Carvalho, Andre F., Brunoni, Andre R., Su, Kuan-Pin, Tu, Yu-Kang, Wu, Yi-Cheng, Chen, Tien-Yu, Lin, Pao-Yen, Liang, Chih-Sung, Hsu, Chih-Wei, Chu, Che-Sheng, Suen, Mein-Woei, and Li, Cheng-Ta

Published
2023
Full Text
View/download PDF

16. Rewired m6A epitranscriptomic networks link mutant p53 to neoplastic transformation

Author

Xu, An, Liu, Mo, Huang, Mo-Fan, Zhang, Yang, Hu, Ruifeng, Gingold, Julian A., Liu, Ying, Zhu, Dandan, Chien, Chian-Shiu, Wang, Wei-Chen, Liao, Zian, Yuan, Fei, Hsu, Chih-Wei, Tu, Jian, Yu, Yao, Rosen, Taylor, Xiong, Feng, Jia, Peilin, Yang, Yi-Ping, Bazer, Danielle A., Chen, Ya-Wen, Li, Wenbo, Huff, Chad D., Zhu, Jay-Jiguang, Aguilo, Francesca, Chiou, Shih-Hwa, Boles, Nathan C., Lai, Chien-Chen, Hung, Mien-Chie, Zhao, Zhongming, Van Nostrand, Eric L., Zhao, Ruiying, and Lee, Dung-Fang

Published
2023
Full Text
View/download PDF

17. Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E, Nutter, Lauryl MJ, Muñoz-Fuentes, Violeta, Hsu, Chih-Wei, Van den Veyver, Ignatia B, Flenniken, Ann M, McKerlie, Colin, Murray, Stephen A, Teboul, Lydia, Heaney, Jason D, Lloyd, KC Kent, Lanoue, Louise, Braun, Robert E, White, Jacqueline K, Creighton, Amie K, Laurin, Valerie, Guo, Ruolin, Qu, Dawei, Wells, Sara, Cleak, James, Bunton-Stasyshyn, Rosie, Stewart, Michelle, Harrisson, Jackie, Mason, Jeremy, Haseli Mashhadi, Hamed, Parkinson, Helen, Mallon, Ann-Marie, and Smedley, Damian

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Biotechnology, Human Genome, Rare Diseases, Genetics, 2.1 Biological and endogenous factors, Animals, Embryo, Mammalian, Female, Genes, Lethal, Homozygote, Humans, Mice, Mice, Knockout, Phenotype, Pregnancy, International Mouse Phenotyping Consortium, Genomics England Research Consortium, Clinical Sciences
Abstract

BackgroundThe diagnostic rate of Mendelian disorders in sequencing studies continues to increase, along with the pace of novel disease gene discovery. However, variant interpretation in novel genes not currently associated with disease is particularly challenging and strategies combining gene functional evidence with approaches that evaluate the phenotypic similarities between patients and model organisms have proven successful. A full spectrum of intolerance to loss-of-function variation has been previously described, providing evidence that gene essentiality should not be considered as a simple and fixed binary property.MethodsHere we further dissected this spectrum by assessing the embryonic stage at which homozygous loss-of-function results in lethality in mice from the International Mouse Phenotyping Consortium, classifying the set of lethal genes into one of three windows of lethality: early, mid, or late gestation lethal. We studied the correlation between these windows of lethality and various gene features including expression across development, paralogy and constraint metrics together with human disease phenotypes. We explored a gene similarity approach for novel gene discovery and investigated unsolved cases from the 100,000 Genomes Project.ResultsWe found that genes in the early gestation lethal category have distinct characteristics and are enriched for genes linked with recessive forms of inherited metabolic disease. We identified several genes sharing multiple features with known biallelic forms of inborn errors of the metabolism and found signs of enrichment of biallelic predicted pathogenic variants among early gestation lethal genes in patients recruited under this disease category. We highlight two novel gene candidates with phenotypic overlap between the patients and the mouse knockouts.ConclusionsInformation on the developmental period at which embryonic lethality occurs in the knockout mouse may be used for novel disease gene discovery that helps to prioritise variants in unsolved rare disease cases.

Published
2022

20. The efficacy and acceptability of anti-inflammatory omega-3 polyunsaturated fatty acid supplements in sepsis management: a network meta-analysis of randomized controlled trials

Author

Tseng, Ping-Tao, Zeng, Bing-Yan, Zeng, Bing-Syuan, Yeh, Pin-Yang, Stubbs, Brendon, Kuo, John S., Sun, Cheuk-Kwan, Cheng, Yu-Shian, Chen, Yen-Wen, Chen, Tien-Yu, Wu, Yi-Cheng, Tu, Yu-Kang, Lin, Pao-Yen, Li, Dian-Jeng, Liang, Chih-Sung, Suen, Mein-Woei, Lee, Yi-Che, Yang, Wei-Chieh, Hsu, Chih-Wei, Shiue, Yow-Ling, and Su, Kuan-Pin

Published
2024
Full Text
View/download PDF

23. High Dosage Omega-3 Fatty Acids Outperform Existing Pharmacological Options for Migraine Prophylaxis: A Network Meta-Analysis

Author

Tseng, Ping-Tao, Zeng, Bing-Yan, Chen, Jiann-Jy, Kuo, Chun-Hsien, Zeng, Bing-Syuan, Kuo, John S, Cheng, Yu-Shian, Sun, Cheuk-Kwan, Wu, Yi-Cheng, Tu, Yu-Kang, Stubbs, Brendon, Carvalho, Andre F, Liang, Chih-Sung, Chen, Tien-Yu, Hsu, Chih-Wei, Suen, Mein-Woei, Yang, Chun-Pai, Hsu, Shih-Pin, Chen, Yen-Wen, Shiue, Yow-Ling, Hung, Chao-Ming, Su, Kuan-Pin, and Lin, Pao-Yen

Published
2024
Full Text
View/download PDF

32. Efficacy and acceptability of anti-inflammatory eicosapentaenoic acid for cognitive function in Alzheimer’s dementia: A network meta-analysis of randomized, placebo-controlled trials with omega-3 fatty acids and FDA-approved pharmacotherapy

Author

Tseng, Ping-Tao, Zeng, Bing-Syuan, Suen, Mein-Woei, Wu, Yi-Cheng, Correll, Christoph U, Zeng, Bing-Yan, Kuo, John S., Chen, Yen-Wen, Chen, Tien-Yu, Tu, Yu-Kang, Lin, Pao-Yen, Carvalho, Andre F., Stubbs, Brendon, Li, Dian-Jeng, Liang, Chih-Sung, Hsu, Chih-Wei, Sun, Cheuk-Kwan, Cheng, Yu-Shian, Yeh, Pin-Yang, Wu, Ming-Kung, Shiue, Yow-Ling, and Su, Kuan-Pin

Published
2023
Full Text
View/download PDF

35. Soft windowing application to improve analysis of high-throughput phenotyping data

Author

Haselimashhadi, Hamed, Mason, Jeremy C, Munoz-Fuentes, Violeta, López-Gómez, Federico, Babalola, Kolawole, Acar, Elif F, Kumar, Vivek, White, Jacqui, Flenniken, Ann M, King, Ruairidh, Straiton, Ewan, Seavitt, John Richard, Gaspero, Angelina, Garza, Arturo, Christianson, Audrey E, Hsu, Chih-Wei, Reynolds, Corey L, Lanza, Denise G, Lorenzo, Isabel, Green, Jennie R, Gallegos, Juan J, Bohat, Ritu, Samaco, Rodney C, Veeraragavan, Surabi, Kim, Jong Kyoung, Miller, Gregor, Fuchs, Helmult, Garrett, Lillian, Becker, Lore, Kang, Yeon Kyung, Clary, David, Cho, Soo Young, Tamura, Masaru, Tanaka, Nobuhiko, Soo, Kyung Dong, Bezginov, Alexandr, About, Ghina Bou, Champy, Marie-France, Vasseur, Laurent, Leblanc, Sophie, Meziane, Hamid, Selloum, Mohammed, Reilly, Patrick T, Spielmann, Nadine, Maier, Holger, Gailus-Durner, Valerie, Sorg, Tania, Hiroshi, Masuya, Yuichi, Obata, Heaney, Jason D, Dickinson, Mary E, Wolfgang, Wurst, Tocchini-Valentini, Glauco P, Lloyd, Kevin C Kent, McKerlie, Colin, Seong, Je Kyung, Yann, Herault, de Angelis, Martin Hrabé, Brown, Steve DM, Smedley, Damian, Flicek, Paul, Mallon, Ann-Marie, Parkinson, Helen, and Meehan, Terrence F

Subjects
Biological Sciences, Genetics, Animals, Genetic Association Studies, Humans, Mice, Phenotype, Population Health, Software, Mathematical Sciences, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract

MotivationHigh-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximizes analytic power while minimizing noise from unspecified environmental factors.ResultsHere we introduce 'soft windowing', a methodological approach that selects a window of time that includes the most appropriate controls for analysis. Using phenotype data from the International Mouse Phenotyping Consortium (IMPC), adaptive windows were applied such that control data collected proximally to mutants were assigned the maximal weight, while data collected earlier or later had less weight. We applied this method to IMPC data and compared the results with those obtained from a standard non-windowed approach. Validation was performed using a resampling approach in which we demonstrate a 10% reduction of false positives from 2.5 million analyses. We applied the method to our production analysis pipeline that establishes genotype-phenotype associations by comparing mutant versus control data. We report an increase of 30% in significant P-values, as well as linkage to 106 versus 99 disease models via phenotype overlap with the soft-windowed and non-windowed approaches, respectively, from a set of 2082 mutant mouse lines. Our method is generalizable and can benefit large-scale human phenomic projects such as the UK Biobank and the All of Us resources.Availability and implementationThe method is freely available in the R package SmoothWin, available on CRAN http://CRAN.R-project.org/package=SmoothWin.Supplementary informationSupplementary data are available at Bioinformatics online.

Published
2020

36. Human and mouse essentiality screens as a resource for disease gene discovery

Author

Cacheiro, Pilar, Muñoz-Fuentes, Violeta, Murray, Stephen A, Dickinson, Mary E, Bucan, Maja, Nutter, Lauryl MJ, Peterson, Kevin A, Haselimashhadi, Hamed, Flenniken, Ann M, Morgan, Hugh, Westerberg, Henrik, Konopka, Tomasz, Hsu, Chih-Wei, Christiansen, Audrey, Lanza, Denise G, Beaudet, Arthur L, Heaney, Jason D, Fuchs, Helmut, Gailus-Durner, Valerie, Sorg, Tania, Prochazka, Jan, Novosadova, Vendula, Lelliott, Christopher J, Wardle-Jones, Hannah, Wells, Sara, Teboul, Lydia, Cater, Heather, Stewart, Michelle, Hough, Tertius, Wurst, Wolfgang, Sedlacek, Radislav, Adams, David J, Seavitt, John R, Tocchini-Valentini, Glauco, Mammano, Fabio, Braun, Robert E, McKerlie, Colin, Herault, Yann, de Angelis, Martin Hrabě, Mallon, Ann-Marie, Lloyd, KC Kent, Brown, Steve DM, Parkinson, Helen, Meehan, Terrence F, and Smedley, Damian

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Biomedical and Clinical Sciences, Genetics, Biotechnology, Human Genome, Prevention, 2.1 Biological and endogenous factors, Aetiology, Generic health relevance, Good Health and Well Being, Animals, Disease, Genes, Essential, Genetic Association Studies, Genomics, Humans, Mice, Mice, Knockout, Genomics England Research Consortium, International Mouse Phenotyping Consortium
Abstract

The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery.

Published
2020

44. Effects of modern technology (exergame and virtual reality) assisted rehabilitation vs conventional rehabilitation in patients with Parkinson’s disease: a network meta-analysis of randomised controlled trials

Author

Chuang, Chieh-Sen, Chen, Yen-Wen, Zeng, Bing-Yan, Hung, Chao-Ming, Tu, Yu-Kang, Tai, Yi-Cheng, Wu, Yi-Cheng, Hsu, Chih-Wei, Lei, Wei-Te, Wu, Shey-Lin, Stubbs, Brendon, Carvalho, Andre F., Su, Kuan-Pin, Chen, Tien-Yu, Tseng, Ping-Tao, Wu, Ming-Kung, and Tsai, Chon-Haw

Published
2022
Full Text
View/download PDF

45. Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts

Author

Moore, Bret A, Leonard, Brian C, Sebbag, Lionel, Edwards, Sydney G, Cooper, Ann, Imai, Denise M, Straiton, Ewan, Santos, Luis, Reilly, Christopher, Griffey, Stephen M, Bower, Lynette, Clary, David, Mason, Jeremy, Roux, Michel J, Meziane, Hamid, Herault, Yann, McKerlie, Colin, Flenniken, Ann M, Nutter, Lauryl MJ, Berberovic, Zorana, Owen, Celeste, Newbigging, Susan, Adissu, Hibret, Eskandarian, Mohammed, Hsu, Chih-Wei, Kalaga, Sowmya, Udensi, Uchechukwu, Asomugha, Chinwe, Bohat, Ritu, Gallegos, Juan J, Seavitt, John R, Heaney, Jason D, Beaudet, Arthur L, Dickinson, Mary E, Justice, Monica J, Philip, Vivek, Kumar, Vivek, Svenson, Karen L, Braun, Robert E, Wells, Sara, Cater, Heather, Stewart, Michelle, Clementson-Mobbs, Sharon, Joynson, Russell, Gao, Xiang, Suzuki, Tomohiro, Wakana, Shigeharu, Smedley, Damian, Seong, JK, Tocchini-Valentini, Glauco, Moore, Mark, Fletcher, Colin, Karp, Natasha, Ramirez-Solis, Ramiro, White, Jacqueline K, de Angelis, Martin Hrabe, Wurst, Wolfgang, Thomasy, Sara M, Flicek, Paul, Parkinson, Helen, Brown, Steve DM, Meehan, Terrence F, Nishina, Patsy M, Murray, Stephen A, Krebs, Mark P, Mallon, Ann-Marie, Kent Lloyd, KC, Murphy, Christopher J, and Moshiri, Ala

Subjects
Biomedical and Clinical Sciences, Genetics, International Mouse Phenotyping Consortium, Biological sciences, Biomedical and clinical sciences
Abstract

[This corrects the article DOI: 10.1038/s42003-018-0226-0.].

Published
2019

46. Erratum: Author Correction: Identification of genes required for eye development by high-throughput screening of mouse knockouts.

Author

Moore, Bret A, Leonard, Brian C, Sebbag, Lionel, Edwards, Sydney G, Cooper, Ann, Imai, Denise M, Straiton, Ewan, Santos, Luis, Reilly, Christopher, Griffey, Stephen M, Bower, Lynette, Clary, David, Mason, Jeremy, Roux, Michel J, Meziane, Hamid, Herault, Yann, International Mouse Phenotyping Consortium, McKerlie, Colin, Flenniken, Ann M, Nutter, Lauryl MJ, Berberovic, Zorana, Owen, Celeste, Newbigging, Susan, Adissu, Hibret, Eskandarian, Mohammed, Hsu, Chih-Wei, Kalaga, Sowmya, Udensi, Uchechukwu, Asomugha, Chinwe, Bohat, Ritu, Gallegos, Juan J, Seavitt, John R, Heaney, Jason D, Beaudet, Arthur L, Dickinson, Mary E, Justice, Monica J, Philip, Vivek, Kumar, Vivek, Svenson, Karen L, Braun, Robert E, Wells, Sara, Cater, Heather, Stewart, Michelle, Clementson-Mobbs, Sharon, Joynson, Russell, Gao, Xiang, Suzuki, Tomohiro, Wakana, Shigeharu, Smedley, Damian, Seong, JK, Tocchini-Valentini, Glauco, Moore, Mark, Fletcher, Colin, Karp, Natasha, Ramirez-Solis, Ramiro, White, Jacqueline K, de Angelis, Martin Hrabe, Wurst, Wolfgang, Thomasy, Sara M, Flicek, Paul, Parkinson, Helen, Brown, Steve DM, Meehan, Terrence F, Nishina, Patsy M, Murray, Stephen A, Krebs, Mark P, Mallon, Ann-Marie, Kent Lloyd, KC, Murphy, Christopher J, and Moshiri, Ala

Subjects
International Mouse Phenotyping Consortium, Genetics
Abstract

[This corrects the article DOI: 10.1038/s42003-018-0226-0.].

Published
2019

50. Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy

Author

Spielmann, Nadine, Miller, Gregor, Oprea, Tudor I., Hsu, Chih-Wei, Fobo, Gisela, Frishman, Goar, Montrone, Corinna, Haseli Mashhadi, Hamed, Mason, Jeremy, Munoz Fuentes, Violeta, Leuchtenberger, Stefanie, Ruepp, Andreas, Wagner, Matias, Westphal, Dominik S., Wolf, Cordula, Görlach, Agnes, Sanz-Moreno, Adrián, Cho, Yi-Li, Teperino, Raffaele, Brandmaier, Stefan, Sharma, Sapna, Galter, Isabella Rikarda, Östereicher, Manuela A., Zapf, Lilly, Mayer-Kuckuk, Philipp, Rozman, Jan, Teboul, Lydia, Bunton-Stasyshyn, Rosie K. A., Cater, Heather, Stewart, Michelle, Christou, Skevoulla, Westerberg, Henrik, Willett, Amelia M., Wotton, Janine M., Roper, Willson B., Christiansen, Audrey E., Ward, Christopher S., Heaney, Jason D., Reynolds, Corey L., Prochazka, Jan, Bower, Lynette, Clary, David, Selloum, Mohammed, Bou About, Ghina, Wendling, Olivia, Jacobs, Hugues, Leblanc, Sophie, Meziane, Hamid, Sorg, Tania, Audain, Enrique, Gilly, Arthur, Rayner, Nigel W., Hitz, Marc-Phillip, Zeggini, Eleftheria, Wolf, Eckhard, Sedlacek, Radislav, Murray, Steven A., Svenson, Karen L., Braun, Robert E., White, Jaqueline K., Kelsey, Lois, Gao, Xiang, Shiroishi, Toshihiko, Xu, Ying, Seong, Je Kyung, Mammano, Fabio, Tocchini-Valentini, Glauco P., Beaudet, Arthur L., Meehan, Terrence F., Parkinson, Helen, Smedley, Damian, Mallon, Ann-Marie, Wells, Sara E., Grallert, Harald, Wurst, Wolfgang, Marschall, Susan, Fuchs, Helmut, Brown, Steve D. M., Flenniken, Ann M., Nutter, Lauryl M. J., McKerlie, Colin, Herault, Yann, Lloyd, K. C. Kent, Dickinson, Mary E., Gailus-Durner, Valerie, and Hrabe de Angelis, Martin

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results