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1,187 results on '"Braun, Robert E."'

1. Whole genome analysis for 163 gRNAs in Cas9-edited mice reveals minimal off-target activity

Author

Peterson, Kevin A, Khalouei, Sam, Hanafi, Nour, Wood, Joshua A, Lanza, Denise G, Lintott, Lauri G, Willis, Brandon J, Seavitt, John R, Braun, Robert E, Dickinson, Mary E, White, Jacqueline K, Lloyd, KC Kent, Heaney, Jason D, Murray, Stephen A, Ramani, Arun, and Nutter, Lauryl MJ

Subjects
Biological Sciences, Genetics, Human Genome, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Mice, Animals, CRISPR-Cas Systems, Gene Editing, Genome, Mutation, Mutagenesis, Biological sciences, Biomedical and clinical sciences
Abstract

Genome editing with CRISPR-associated (Cas) proteins holds exceptional promise for "correcting" variants causing genetic disease. To realize this promise, off-target genomic changes cannot occur during the editing process. Here, we use whole genome sequencing to compare the genomes of 50 Cas9-edited founder mice to 28 untreated control mice to assess the occurrence of S. pyogenes Cas9-induced off-target mutagenesis. Computational analysis of whole-genome sequencing data detects 26 unique sequence variants at 23 predicted off-target sites for 18/163 guides used. While computationally detected variants are identified in 30% (15/50) of Cas9 gene-edited founder animals, only 38% (10/26) of the variants in 8/15 founders validate by Sanger sequencing. In vitro assays for Cas9 off-target activity identify only two unpredicted off-target sites present in genome sequencing data. In total, only 4.9% (8/163) of guides tested have detectable off-target activity, a rate of 0.2 Cas9 off-target mutations per founder analyzed. In comparison, we observe ~1,100 unique variants in each mouse regardless of genome exposure to Cas9 indicating off-target variants comprise a small fraction of genetic heterogeneity in Cas9-edited mice. These findings will inform future design and use of Cas9-edited animal models as well as provide context for evaluating off-target potential in genetically diverse patient populations.

Published
2023

2. 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

3. Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screen

Author

Wotton, Janine M, Peterson, Emma, Flenniken, Ann M, Bains, Rasneer S, Veeraragavan, Surabi, Bower, Lynette R, Bubier, Jason A, Parisien, Marc, Bezginov, Alexandr, Haselimashhadi, Hamed, Mason, Jeremy, Moore, Michayla A, Stewart, Michelle E, Clary, Dave A, Delbarre, Daniel J, Anderson, Laura C, D'Souza, Abigail, Goodwin, Leslie O, Harrison, Mark E, Huang, Ziyue, Mckay, Matthew, Qu, Dawei, Santos, Luis, Srinivasan, Subhiksha, Urban, Rachel, Vukobradovic, Igor, Ward, Christopher S, Willett, Amelia M, Consortium, The International Mouse Phenotyping, Braun, Robert E, Brown, Steve DM, Dickinson, Mary E, Heaney, Jason D, Kumar, Vivek, Lloyd, KC Kent, Mallon, Ann-Marie, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Parkinson, Helen, Seavitt, John R, Wells, Sara, Samaco, Rodney C, Chesler, Elissa J, Smedley, Damian, Diatchenko, Luda, Baumbauer, Kyle M, Young, Erin E, Bonin, Robert P, Mandillo, Silvia, and White, Jacqueline K

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Basic Behavioral and Social Science, Genetics, Pain Research, Chronic Pain, Behavioral and Social Science, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Animals, Freund's Adjuvant, Mice, Mice, Knockout, Nociception, Pain, Pain Measurement, Nocifensive behavior, Sensitization, Formalin, Hargreaves, von Frey, Complete Freund's adjuvant, Single-gene knockout mouse, Screen, IMPC, Comorbidity, Autism, International Mouse Phenotyping Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Anesthesiology, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

AbstractIdentifying the genetic determinants of pain is a scientific imperative given the magnitude of the global health burden that pain causes. Here, we report a genetic screen for nociception, performed under the auspices of the International Mouse Phenotyping Consortium. A biased set of 110 single-gene knockout mouse strains was screened for 1 or more nociception and hypersensitivity assays, including chemical nociception (formalin) and mechanical and thermal nociception (von Frey filaments and Hargreaves tests, respectively), with or without an inflammatory agent (complete Freund's adjuvant). We identified 13 single-gene knockout strains with altered nocifensive behavior in 1 or more assays. All these novel mouse models are openly available to the scientific community to study gene function. Two of the 13 genes (Gria1 and Htr3a) have been previously reported with nociception-related phenotypes in genetically engineered mouse strains and represent useful benchmarking standards. One of the 13 genes (Cnrip1) is known from human studies to play a role in pain modulation and the knockout mouse reported herein can be used to explore this function further. The remaining 10 genes (Abhd13, Alg6, BC048562, Cgnl1, Cp, Mmp16, Oxa1l, Tecpr2, Trim14, and Trim2) reveal novel pathways involved in nociception and may provide new knowledge to better understand genetic mechanisms of inflammatory pain and to serve as models for therapeutic target validation and drug development.

Published
2022

4. Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice

Author

Oestereicher, Manuela A., Wotton, Janine M., Ayabe, Shinya, Bou About, Ghina, Cheng, Tsz Kwan, Choi, Jae-Hoon, Clary, Dave, Dew, Emily M., Elfertak, Lahcen, Guimond, Alain, Haseli Mashhadi, Hamed, Heaney, Jason D., Kelsey, Lois, Keskivali-Bond, Piia, Lopez Gomez, Federico, Marschall, Susan, McFarland, Michael, Meziane , Hamid, Munoz Fuentes, Violeta, Nam , Ki-Hoan, Nichtová, Zuzana, Pimm, Dale, Bower, Lynette, Prochazka, Jan, Rozman, Jan, Santos, Luis, Stewart, Michelle, Tanaka, Nobuhiko, Ward, Christopher S., Willett, Amelia M. E., Wilson, Robert, Braun, Robert E., Dickinson, Mary E., Flenniken, Ann M., Herault, Yann, Lloyd, K. C. Kent, Mallon, Ann-Marie, McKerlie, Colin, Murray, Stephen A., Nutter, Lauryl M. J., Sedlacek, Radislav, Seong, Je Kyung, Sorg, Tania, Tamura, Masaru, Wells, Sara, Schneltzer, Elida, Fuchs, Helmut, Gailus-Durner, Valerie, Hrabe de Angelis, Martin, White, Jacqueline K., and Spielmann, Nadine

Published
2023
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5. 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

6. Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

Author

Higgins, Kendall, Moore, Bret A, Berberovic, Zorana, Adissu, Hibret A, Eskandarian, Mohammad, Flenniken, Ann M, Shao, Andy, Imai, Denise M, Clary, Dave, Lanoue, Louise, Newbigging, Susan, Nutter, Lauryl MJ, Adams, David J, Bosch, Fatima, Braun, Robert E, Brown, Steve DM, Dickinson, Mary E, Dobbie, Michael, Flicek, Paul, Gao, Xiang, Galande, Sanjeev, Grobler, Anne, Heaney, Jason D, Herault, Yann, de Angelis, Martin Hrabe, Chin, Hsian-Jean Genie, Mammano, Fabio, Qin, Chuan, Shiroishi, Toshihiko, Sedlacek, Radislav, Seong, J-K, Xu, Ying, Lloyd, KC Kent, McKerlie, Colin, and Moshiri, Ala

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Biomedical and Clinical Sciences, Genetics, Biotechnology, Rare Diseases, 2.1 Biological and endogenous factors, Mice, Animals, Mice, Knockout, Ciliopathies, Gene Knockout Techniques, Cilia, Databases, Factual, Nerve Tissue Proteins, Cell Cycle Proteins, IMPC Consortium
Abstract

We searched a database of single-gene knockout (KO) mice produced by the International Mouse Phenotyping Consortium (IMPC) to identify candidate ciliopathy genes. We first screened for phenotypes in mouse lines with both ocular and renal or reproductive trait abnormalities. The STRING protein interaction tool was used to identify interactions between known cilia gene products and those encoded by the genes in individual knockout mouse strains in order to generate a list of "candidate ciliopathy genes." From this list, 32 genes encoded proteins predicted to interact with known ciliopathy proteins. Of these, 25 had no previously described roles in ciliary pathobiology. Histological and morphological evidence of phenotypes found in ciliopathies in knockout mouse lines are presented as examples (genes Abi2, Wdr62, Ap4e1, Dync1li1, and Prkab1). Phenotyping data and descriptions generated on IMPC mouse line are useful for mechanistic studies, target discovery, rare disease diagnosis, and preclinical therapeutic development trials. Here we demonstrate the effective use of the IMPC phenotype data to uncover genes with no previous role in ciliary biology, which may be clinically relevant for identification of novel disease genes implicated in ciliopathies.

Published
2022

7. The Deep Genome Project

Author

Lloyd, KC Kent, Adams, David J, Baynam, Gareth, Beaudet, Arthur L, Bosch, Fatima, Boycott, Kym M, Braun, Robert E, Caulfield, Mark, Cohn, Ronald, Dickinson, Mary E, Dobbie, Michael S, Flenniken, Ann M, Flicek, Paul, Galande, Sanjeev, Gao, Xiang, Grobler, Anne, Heaney, Jason D, Herault, Yann, de Angelis, Martin Hrabě, Lupski, James R, Lyonnet, Stanislas, Mallon, Ann-Marie, Mammano, Fabio, MacRae, Calum A, McInnes, Roderick, McKerlie, Colin, Meehan, Terrence F, Murray, Stephen A, Nutter, Lauryl MJ, Obata, Yuichi, Parkinson, Helen, Pepper, Michael S, Sedlacek, Radislav, Seong, Je Kyung, Shiroishi, Toshihiko, Smedley, Damian, Tocchini-Valentini, Glauco, Valle, David, Wang, Chi-Kuang Leo, Wells, Sara, White, Jacqueline, Wurst, Wolfgang, Xu, Ying, and Brown, Steve DM

Subjects
Animals, Genes, Genome, Humans, Mice, Mutation, Phenotype, Proteins, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Published
2020

8. 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

9. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density

Author

Swan, Anna L, Schütt, Christine, Rozman, Jan, del Mar Muñiz Moreno, Maria, Brandmaier, Stefan, Simon, Michelle, Leuchtenberger, Stefanie, Griffiths, Mark, Brommage, Robert, Keskivali-Bond, Piia, Grallert, Harald, Werner, Thomas, Teperino, Raffaele, Becker, Lore, Miller, Gregor, Moshiri, Ala, Seavitt, John R, Cissell, Derek D, Meehan, Terrence F, Acar, Elif F, Lelliott, Christopher J, Flenniken, Ann M, Champy, Marie-France, Sorg, Tania, Ayadi, Abdel, Braun, Robert E, Cater, Heather, Dickinson, Mary E, Flicek, Paul, Gallegos, Juan, Ghirardello, Elena J, Heaney, Jason D, Jacquot, Sylvie, Lally, Connor, Logan, John G, Teboul, Lydia, Mason, Jeremy, Spielmann, Nadine, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Odfalk, Kristian F, Parkinson, Helen, Prochazka, Jan, Reynolds, Corey L, Selloum, Mohammed, Spoutil, Frantisek, Svenson, Karen L, Vales, Taylor S, Wells, Sara E, White, Jacqueline K, Sedlacek, Radislav, Wurst, Wolfgang, Lloyd, KC Kent, Croucher, Peter I, Fuchs, Helmut, Williams, Graham R, Bassett, JH Duncan, Gailus-Durner, Valerie, Herault, Yann, Mallon, Ann-Marie, Brown, Steve DM, Mayer-Kuckuk, Philipp, and Hrabe de Angelis, Martin

Subjects
Biological Sciences, Genetics, Osteoporosis, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Aetiology, Underpinning research, Musculoskeletal, Animals, Bone Density, Female, Gene Expression Regulation, Gene Ontology, Genetic Pleiotropy, Genome-Wide Association Study, Genotype, Male, Mice, Mice, Transgenic, Mutation, Osteoblasts, Osteoclasts, Phenotype, Promoter Regions, Genetic, Protein Interaction Maps, Sex Characteristics, Transcriptome, IMPC Consortium, Developmental Biology
Abstract

The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored data from 3,823 mutant mouse strains for BMD, a measure that is frequently altered in a range of bone pathologies, including osteoporosis. A total of 200 genes were found to significantly affect BMD. This pool of BMD genes comprised 141 genes with previously unknown functions in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 genes also caused skeletal abnormalities. Examination of the BMD genes in osteoclasts and osteoblasts underscored BMD pathways, including vesicle transport, in these cells and together with in silico bone turnover studies resulted in the prioritization of candidate genes for further investigation. Overall, the results add novel pathophysiological and molecular insight into bone health and disease.

Published
2020

10. 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

11. 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

12. 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
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13. Publisher Correction: 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
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14. 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, Lloyd, KC Kent, Murphy, Christopher J, and Moshiri, Ala

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Biomedical and Clinical Sciences, Genetics, Ophthalmology and Optometry, Human Genome, Biotechnology, Eye Disease and Disorders of Vision, Aetiology, 2.1 Biological and endogenous factors, Eye, International Mouse Phenotyping Consortium, Biological sciences, Biomedical and clinical sciences
Abstract

Despite advances in next generation sequencing technologies, determining the genetic basis of ocular disease remains a major challenge due to the limited access and prohibitive cost of human forward genetics. Thus, less than 4,000 genes currently have available phenotype information for any organ system. Here we report the ophthalmic findings from the International Mouse Phenotyping Consortium, a large-scale functional genetic screen with the goal of generating and phenotyping a null mutant for every mouse gene. Of 4364 genes evaluated, 347 were identified to influence ocular phenotypes, 75% of which are entirely novel in ocular pathology. This discovery greatly increases the current number of genes known to contribute to ophthalmic disease, and it is likely that many of the genes will subsequently prove to be important in human ocular development and disease.

Published
2018

15. Correction: Corrigendum: High-throughput discovery of novel developmental phenotypes

Author

Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie Helmut Fuchs, Sarah M, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Nutter, Susan Newbigging Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, Wurst, Wolfgang, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, and Murray, Maja Bućan Stephen A

Subjects
International Mouse Phenotyping Consortium, General Science & Technology
Abstract

This corrects the article DOI: 10.1038/nature19356.

Published
2017

16. Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium.

Author

Meehan, Terrence F, Conte, Nathalie, West, David B, Jacobsen, Julius O, Mason, Jeremy, Warren, Jonathan, Chen, Chao-Kung, Tudose, Ilinca, Relac, Mike, Matthews, Peter, Karp, Natasha, Santos, Luis, Fiegel, Tanja, Ring, Natalie, Westerberg, Henrik, Greenaway, Simon, Sneddon, Duncan, Morgan, Hugh, Codner, Gemma F, Stewart, Michelle E, Brown, James, Horner, Neil, International Mouse Phenotyping Consortium, Haendel, Melissa, Washington, Nicole, Mungall, Christopher J, Reynolds, Corey L, Gallegos, Juan, Gailus-Durner, Valerie, Sorg, Tania, Pavlovic, Guillaume, Bower, Lynette R, Moore, Mark, Morse, Iva, Gao, Xiang, Tocchini-Valentini, Glauco P, Obata, Yuichi, Cho, Soo Young, Seong, Je Kyung, Seavitt, John, Beaudet, Arthur L, Dickinson, Mary E, Herault, Yann, Wurst, Wolfgang, de Angelis, Martin Hrabe, Lloyd, KC Kent, Flenniken, Ann M, Nutter, Lauryl MJ, Newbigging, Susan, McKerlie, Colin, Justice, Monica J, Murray, Stephen A, Svenson, Karen L, Braun, Robert E, White, Jacqueline K, Bradley, Allan, Flicek, Paul, Wells, Sara, Skarnes, William C, Adams, David J, Parkinson, Helen, Mallon, Ann-Marie, Brown, Steve DM, and Smedley, Damian

Subjects
International Mouse Phenotyping Consortium, Animals, Mice, Knockout, Humans, Mice, Genetic Diseases, Inborn, Disease Models, Animal, Genetic Predisposition to Disease, Phenotype, Female, Male, Gene Knockout Techniques, Knockout, Genetic Diseases, Inborn, Disease Models, Animal, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Although next-generation sequencing has revolutionized the ability to associate variants with human diseases, diagnostic rates and development of new therapies are still limited by a lack of knowledge of the functions and pathobiological mechanisms of most genes. To address this challenge, the International Mouse Phenotyping Consortium is creating a genome- and phenome-wide catalog of gene function by characterizing new knockout-mouse strains across diverse biological systems through a broad set of standardized phenotyping tests. All mice will be readily available to the biomedical community. Analyzing the first 3,328 genes identified models for 360 diseases, including the first models, to our knowledge, for type C Bernard-Soulier, Bardet-Biedl-5 and Gordon Holmes syndromes. 90% of our phenotype annotations were novel, providing functional evidence for 1,092 genes and candidates in genetically uncharacterized diseases including arrhythmogenic right ventricular dysplasia 3. Finally, we describe our role in variant functional validation with The 100,000 Genomes Project and others.

Published
2017

17. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction

Author

Bowl, Michael R, Simon, Michelle M, Ingham, Neil J, Greenaway, Simon, Santos, Luis, Cater, Heather, Taylor, Sarah, Mason, Jeremy, Kurbatova, Natalja, Pearson, Selina, Bower, Lynette R, Clary, Dave A, Meziane, Hamid, Reilly, Patrick, Minowa, Osamu, Kelsey, Lois, The International Mouse Phenotyping Consortium, Tocchini-Valentini, Glauco P, Gao, Xiang, Bradley, Allan, Skarnes, William C, Moore, Mark, Beaudet, Arthur L, Justice, Monica J, Seavitt, John, Dickinson, Mary E, Wurst, Wolfgang, de Angelis, Martin Hrabe, Herault, Yann, Wakana, Shigeharu, Nutter, Lauryl MJ, Flenniken, Ann M, McKerlie, Colin, Murray, Stephen A, Svenson, Karen L, Braun, Robert E, West, David B, Lloyd, KC Kent, Adams, David J, White, Jacqui, Karp, Natasha, Flicek, Paul, Smedley, Damian, Meehan, Terrence F, Parkinson, Helen E, Teboul, Lydia M, Wells, Sara, Steel, Karen P, Mallon, Ann-Marie, and Brown, Steve DM

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Allied Health and Rehabilitation Science, Clinical Sciences, Health Sciences, Clinical Research, Hearing Loss, Human Genome, Neurosciences, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Ear, Animals, Datasets as Topic, Genetic Testing, Hearing Tests, Mice, Mice, Knockout, Phenotype, Protein Interaction Maps, International Mouse Phenotyping Consortium
Abstract

The developmental and physiological complexity of the auditory system is likely reflected in the underlying set of genes involved in auditory function. In humans, over 150 non-syndromic loci have been identified, and there are more than 400 human genetic syndromes with a hearing loss component. Over 100 non-syndromic hearing loss genes have been identified in mouse and human, but we remain ignorant of the full extent of the genetic landscape involved in auditory dysfunction. As part of the International Mouse Phenotyping Consortium, we undertook a hearing loss screen in a cohort of 3006 mouse knockout strains. In total, we identify 67 candidate hearing loss genes. We detect known hearing loss genes, but the vast majority, 52, of the candidate genes were novel. Our analysis reveals a large and unexplored genetic landscape involved with auditory function.The full extent of the genetic basis for hearing impairment is unknown. Here, as part of the International Mouse Phenotyping Consortium, the authors perform a hearing loss screen in 3006 mouse knockout strains and identify 52 new candidate genes for genetic hearing loss.

Published
2017

18. Prevalence of sexual dimorphism in mammalian phenotypic traits

Author

Karp, Natasha A, Mason, Jeremy, Beaudet, Arthur L, Benjamini, Yoav, Bower, Lynette, Braun, Robert E, Brown, Steve DM, Chesler, Elissa J, Dickinson, Mary E, Flenniken, Ann M, Fuchs, Helmut, Angelis, Martin Hrabe de, Gao, Xiang, Guo, Shiying, Greenaway, Simon, Heller, Ruth, Herault, Yann, Justice, Monica J, Kurbatova, Natalja, Lelliott, Christopher J, Lloyd, KC Kent, Mallon, Ann-Marie, Mank, Judith E, Masuya, Hiroshi, McKerlie, Colin, Meehan, Terrence F, Mott, Richard F, Murray, Stephen A, Parkinson, Helen, Ramirez-Solis, Ramiro, Santos, Luis, Seavitt, John R, Smedley, Damian, Sorg, Tania, Speak, Anneliese O, Steel, Karen P, Svenson, Karen L, Wakana, Shigeharu, West, David, Wells, Sara, Westerberg, Henrik, Yaacoby, Shay, and White, Jacqueline K

Subjects
Biological Psychology, Biological Sciences, Biomedical and Clinical Sciences, Psychology, Genetics, Animals, Body Weight, Female, Genes, Modifier, Genotype, Mammals, Mice, Phenotype, Quantitative Trait, Heritable, Sex Characteristics, International Mouse Phenotyping Consortium
Abstract

The role of sex in biomedical studies has often been overlooked, despite evidence of sexually dimorphic effects in some biological studies. Here, we used high-throughput phenotype data from 14,250 wildtype and 40,192 mutant mice (representing 2,186 knockout lines), analysed for up to 234 traits, and found a large proportion of mammalian traits both in wildtype and mutants are influenced by sex. This result has implications for interpreting disease phenotypes in animal models and humans.

Published
2017

19. Discovery and validation of genes driving drug‐intake and related behavioral traits in mice

Author

Roy, Tyler A., primary, Bubier, Jason A., additional, Dickson, Price E., additional, Wilcox, Troy D., additional, Ndukum, Juliet, additional, Clark, James W., additional, Sukoff Rizzo, Stacey J., additional, Crabbe, John C., additional, Denegre, James M., additional, Svenson, Karen L., additional, Braun, Robert E., additional, Kumar, Vivek, additional, Murray, Stephen A., additional, White, Jacqueline K., additional, Philip, Vivek M., additional, and Chesler, Elissa J., additional

Published
2024
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20. High-throughput discovery of novel developmental phenotypes.

Author

Dickinson, Mary E, Flenniken, Ann M, Ji, Xiao, Teboul, Lydia, Wong, Michael D, White, Jacqueline K, Meehan, Terrence F, Weninger, Wolfgang J, Westerberg, Henrik, Adissu, Hibret, Baker, Candice N, Bower, Lynette, Brown, James M, Caddle, L Brianna, Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J, Denegre, James M, Doe, Brendan, Dolan, Mary E, Edie, Sarah M, Fuchs, Helmut, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R, Hsu, Chih-Wei, Johnson, Sara J, Kalaga, Sowmya, Keith, Lance C, Lanoue, Louise, Lawson, Thomas N, Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L, Newbigging, Susan, Nutter, Lauryl MJ, Peterson, Kevin A, Ramirez-Solis, Ramiro, Rowland, Douglas J, Ryder, Edward, Samocha, Kaitlin E, Seavitt, John R, Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G, Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B, Wong, Leeyean, Yoshiki, Atsushi, International Mouse Phenotyping Consortium, Jackson Laboratory, Infrastructure Nationale PHENOMIN, Institut Clinique de la Souris (ICS), Charles River Laboratories, MRC Harwell, Toronto Centre for Phenogenomics, Wellcome Trust Sanger Institute, RIKEN BioResource Center, MacArthur, Daniel G, Tocchini-Valentini, Glauco P, Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C, Justice, Monica J, Parkinson, Helen E, Moore, Mark, Wells, Sara, Braun, Robert E, Svenson, Karen L, de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, R Mark, Brown, Steve DM, Adams, David J, Lloyd, KC Kent, McKerlie, Colin, Beaudet, Arthur L, Bućan, Maja, and Murray, Stephen A

Subjects
International Mouse Phenotyping Consortium, Jackson Laboratory, Infrastructure Nationale PHENOMIN, Institut Clinique de la Souris, Charles River Laboratories, MRC Harwell, Toronto Centre for Phenogenomics, Wellcome Trust Sanger Institute, RIKEN BioResource Center, Animals, Mice, Inbred C57BL, Mice, Knockout, Humans, Mice, Disease, Imaging, Three-Dimensional, Conserved Sequence, Sequence Homology, Phenotype, Penetrance, Mutation, Polymorphism, Single Nucleotide, Genes, Essential, Genes, Lethal, Embryo, Mammalian, Genome-Wide Association Study, High-Throughput Screening Assays, Biotechnology, Human Genome, Pediatric, Congenital Structural Anomalies, Genetics, 2.1 Biological and endogenous factors, General Science & Technology
Abstract

Approximately one-third of all mammalian genes are essential for life. Phenotypes resulting from knockouts of these genes in mice have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5,000 knockout mouse lines, here we identify 410 lethal genes during the production of the first 1,751 unique gene knockouts. Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes. Unexpectedly, our analysis reveals that incomplete penetrance and variable expressivity are common even on a defined genetic background. In addition, we show that human disease genes are enriched for essential genes, thus providing a dataset that facilitates the prioritization and validation of mutations identified in clinical sequencing efforts.

Published
2016

21. Social Determinants of Racial/Ethnic Health Disparities in Children and Adolescents

Author

Price, James H., McKinney, Molly A., and Braun, Robert E.

Abstract

Too many racial/ethnic minorities do not reach their full potential for a healthy and rewarding life. This paper addresses the social determinants that impact, either directly or indirectly, child and adolescent health disparities. Understanding the role social determinants play in the life course of health status can help guide educational interventions and public policies in reducing racial/ethnic health disparities. We can no longer place the responsibility for adverse health outcomes solely on individuals and expect programs based primarily on individual health behaviors to eradicate the considerable racial/ethnic health care disparities that continue to exist in the United States today. (Contains 3 figures and 1 table.)

Published
2011

26. The perceptions of NSAID Use among one Midwestern DIII athletic department

Author

Braun, Robert E., Cialella, Kaylee, Payne, Shelley, Harper, William, and Rocks, Joan

Subjects
Nonsteroidal anti-inflammatory agents -- Usage -- Public opinion, Athletes -- Dosage and administration -- Beliefs, opinions and attitudes, Psychology and mental health, Sports and fitness
Abstract

NSAIDs are commonly used among athletes for a variety of reasons. The purpose of this research is to gain insight on Division III athletes 'view and opinions of NSAIDs. A survey was developed incorporating the Theory of Planned Behavior and distributed to all winter and spring athletic teams of one Midwestern Dill University. By utilizing the Theory of Planned Behavior, this study found attitude toward behavior as the strongest predictor of behavioral intention (p < .001), while both Perceived Behavioral control (p < .001) and Intention (p < .001) were statistically significant predictors of behavior. Another finding from the study was that athletes perceived less than 25% of their teammates as taking NSAIDs. Displaying the importance of an athlete's own persona! values and opinions of NSAID use was the strongest predictor of intentions. Further assessment should include more athletes to get a better representation of the athletic department., Nonsteroidal anti-inflammatory drugs (NSAIDs) are among one of the most commonly purchased over the counter (OTC) medications. NSAIDs are used for a variety of reasons including: treatment of pain, soft [...]

Published
2017

27. Using the Integrated Behavioral Model to Predict High-Risk Drinking among College Students

Author

Braun, Robert E., Glassman, Tavis, Sheu, Jiunn-Jye, Dake, Joseph, Jordan, Tim, and Yingling, Faith

Abstract

This study assessed the Integrated Behavioral Model's (IBM) utility in explaining high-risk drinking among college students. A total of 356 participants completed a four-page questionnaire based on the (IBM) theory and their drinking behavior. The results from a path analysis revealed three significant constructs (p<0.05) which predicted intentions to engage in high-risk drinking: experiential attitude (0.34), injunctive norms (0.23), and self-efficacy (-0.28). The IBM explained approximately 45% and 26% of variance in intentions and high-risk drinking, respectively. Although limited in its use thus far, the IBM shows promise in its application regarding high-risk drinking prevention among college students.

Published
2014

30. Corrigendum: High-throughput discovery of novel developmental phenotypes

Author

Dickinson, Mary E., Flenniken, Ann M., Ji, Xiao, Teboul, Lydia, Wong, Michael D., White, Jacqueline K., Meehan, Terrence F., Weninger, Wolfgang J., Westerberg, Henrik, Adissu, Hibret, Baker, Candice N., Bower, Lynette, Brown, James M., Caddle, Brianna L., Chiani, Francesco, Clary, Dave, Cleak, James, Daly, Mark J., Denegre, James M., Doe, Brendan, Dolan, Mary E., Helmut Fuchs, Sarah M. Edie, Gailus-Durner, Valerie, Galli, Antonella, Gambadoro, Alessia, Gallegos, Juan, Guo, Shiying, Horner, Neil R., Hsu, Chih-Wei, Johnson, Sara J., Kalaga, Sowmya, Keith, Lance C., Lanoue, Louise, Lawson, Thomas N., Lek, Monkol, Mark, Manuel, Marschall, Susan, Mason, Jeremy, McElwee, Melissa L., Nutter, Susan Newbigging Lauryl M. J., Peterson, Kevin A., Ramirez-Solis, Ramiro, Rowland, Douglas J., Ryder, Edward, Samocha, Kaitlin E., Seavitt, John R., Selloum, Mohammed, Szoke-Kovacs, Zsombor, Tamura, Masaru, Trainor, Amanda G., Tudose, Ilinca, Wakana, Shigeharu, Warren, Jonathan, Wendling, Olivia, West, David B., Wong, Leeyean, Yoshiki, Atsushi, Wurst, Wolfgang, MacArthur, Daniel G., Tocchini-Valentini, Glauco P., Gao, Xiang, Flicek, Paul, Bradley, Allan, Skarnes, William C., Justice, Monica J., Parkinson, Helen E., Moore, Mark, Wells, Sara, Braun, Robert E., Svenson, Karen L., de Angelis, Martin Hrabe, Herault, Yann, Mohun, Tim, Mallon, Ann-Marie, Henkelman, Mark R., Brown, Steve D. M., Adams, David J., Lloyd, Kent K.C., McKerlie, Colin, Beaudet, Arthur L., and Murray, Maja Bućan Stephen A.

Published
2017
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36. Additional file 2 of Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E., Nutter, Lauryl M. J., 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, K. C. 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

Abstract

Additional file 2: Fig. S1. WoL and cell essentiality scores. Fig. S2. WoL and cell essentiality categorisation. Fig. S3. WoL and additional gene features. Fig. S4. WoL and paralogues features. Fig. S5. WoL and additional disease features. Fig. S6. Prediction of early lethal genes. Fig. S7. Enrichment analysis of genes sharing attributes with a BIEM gene among the EL category.

Published
2022
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37. Additional file 1 of Mendelian gene identification through mouse embryo viability screening

Author

Cacheiro, Pilar, Westerberg, Carl Henrik, Mager, Jesse, Dickinson, Mary E., Nutter, Lauryl M. J., 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, K. C. 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

Abstract

Additional file 1: Table S1. Gene features: Human cellular essential genes. Table S2. Gene features: Gene expression in human brain. Table S3. Gene features: Intolerance to variation metrics and paralogues. Table S4. Disease features. Table S5. HPO phenotypes Odds Ratios. Table S6. Comparison of our approach based on EL genes with other strategies based on standard scores thresholds: F-score. Table S7. Odds Ratios and 95% CI from multiple logistic regression analysis.

Published
2022
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44. Whole genome analysis for 163 guide RNAs in Cas9 edited mice reveals minimal off-target activity

Author

Peterson, Kevin A., primary, Khalouei, Sam, additional, Wood, Joshua A., additional, Lanza, Denise G., additional, Lintott, Lauri G., additional, Willis, Brandon J., additional, Seavitt, John R., additional, Hanafi, Nour, additional, Braun, Robert E., additional, Dickinson, Mary E., additional, White, Jacqueline K., additional, Lloyd, K.C. Kent, additional, Heaney, Jason D., additional, Murray, Stephen A., additional, Ramani, Arun, additional, and Nutter, Lauryl M.J., additional

Published
2021
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45. A resource of targeted mutant mouse lines for 5,061 genes

Author

Birling, Marie-Christine, Yoshiki, Atsushi, Chiani, Francesco, Kaloff, Cornelia, Hörlein, Andreas, Teichmann, Sandy, Tasdemir, Adriane, Krause, Heidi, German, Dorota, Könitzer, Anne, Weber, Sarah, Beig, Joachim, McKay, Matthew, Chin, Hsian-Jean Genie, Bedigian, Richard, Dion, Stephanie, Kutny, Peter, Kelmenson, Jennifer, Perry, Emily, Nguyen-Bresinsky, Dong, Seluke, Audrie, Leach, Timothy, Perkins, Sara, Slater, Amanda, Christou, Skevoulla, Petit, Michaela, Urban, Rachel, Kales, Susan, DaCosta, Michael, McFarland, Michael, Palazola, Rick, Peterson, Kevin A, Svenson, Karen, Braun, Robert E, Taft, Robert, Codner, Gemma F, Rhue, Mark, Garay, Jose, Clary, Dave, Araiza, Renee, Grimsrud, Kristin, Bower, Lynette, Anchell, Nicole L, Jager, Kayla M, Young, Diana L, Dao, Phuong T, DeMayo, Francesco J, Gardiner, Wendy, Bell, Toni, Kenyon, Janet, Stewart, Michelle E, Lynch, Denise, Loeffler, Jorik, Caulder, Adam, Hillier, Rosie, Quwailid, Mohamed M, Zaman, Rumana, Dickinson, Mary E, Santos, Luis, Obata, Yuichi, Iwama, Mizuho, Nakata, Hatsumi, Hashimoto, Tomomi, Kadota, Masayo, Masuya, Hiroshi, Tanaka, Nobuhiko, Miura, Ikuo, Yamada, Ikuko, Doe, Brendan, Furuse, Tamio, Selloum, Mohammed, Jacquot, Sylvie, Ayadi, Abdel, Ali-Hadji, Dalila, Charles, Philippe, Le Marchand, Elise, El Amri, Amal, Kujath, Christelle, Fougerolle, Jean-Victor, Donahue, Leah Rae, Mellul, Peggy, Legeay, Sandrine, Vasseur, Laurent, Moro, Anne-Isabelle, Lorentz, Romain, Schaeffer, Laurence, Dreyer, Dominique, Erbs, Valérie, Eisenmann, Benjamin, Rossi, Giovanni, Fray, Martin D, Luppi, Laurence, Mertz, Annelyse, Jeanblanc, Amélie, Grau, Evelyn, Sinclair, Caroline, Brown, Ellen, Kundi, Helen, Madich, Alla, Woods, Mike, Pearson, Laila, Gambadoro, Alessia, Mayhew, Danielle, Griggs, Nicola, Houghton, Richard, Bussell, James, Ingle, Catherine, Valentini, Sara, Gleeson, Diane, Sethi, Debarati, Bayzetinova, Tanya, Burvill, Jonathan, Adams, David J, Gao, Xiang, Habib, Bishoy, Weavers, Lauren, Maswood, Ryea, Miklejewska, Evelina, Cook, Ross, Platte, Radka, Price, Stacey, Vyas, Sapna, Collinson, Adam, Hardy, Matt, Gertsenstein, Marina, Dalvi, Priya, Iyer, Vivek, West, Tony, Thomas, Mark, Mujica, Alejandro, Sins, Elodie, Barrett, Daniel, Dobbie, Michael, Grobler, Anne, Loots, Glaudina, Gomez-Segura, Alba, Hayeshi, Rose, Scholtz, Liezl-Marie, Bester, Cor, Pheiffer, Wihan, Venter, Kobus, Bosch, Fatima, Goodwin, Leslie O, Heaney, Jason D, Hérault, Yann, de Angelis, Martin Hrabě, Jiang, Si-Tse, Justice, Monica J, Kasparek, Petr, Ayabe, Shinya, King, Ruairidh E, Kühn, Ralf, Lee, Ho, Lee, Youngik, Liu, Zhiwei, Lloyd, K C Kent, Lorenzo, Isabel, Mallon, Ann-Marie, McKerlie, Colin, Meehan, Terrence F, Beaudet, Arthur L, Fuentes, Violeta Munoz, Newman, Stuart, Nutter, Lauryl M J, Oh, Goo Taeg, Pavlovic, Guillaume, Ramirez-Solis, Ramiro, Rosen, Barry, Ryder, Edward J, Santos, Luis A, Schick, Joel, Bottomley, Joanna, Seavitt, John R, Sedlacek, Radislav, Seisenberger, Claudia, Seong, Je Kyung, Skarnes, William C, Sorg, Tania, Steel, Karen P, Tamura, Masaru, Tocchini-Valentini, Glauco P, Wang, Chi-Kuang Leo, Bradley, Allan, Wardle-Jones, Hannah, Wattenhofer-Donzé, Marie, Wells, Sara, Wiles, Michael V, Willis, Brandon J, Wood, Joshua A, Wurst, Wolfgang, Xu, Ying, Consortium, International Mouse Phenotyping, Teboul, Lydia, Brown, Steve D M, Murray, Stephen A, Gallegos, Juan J, Green, Jennie R, Bohat, Ritu, Zimmel, Katie, Pereira, Monica, MacMaster, Suzanne, Tondat, Sandra, Wei, Linda, Carroll, Tracy, Bürger, Antje, Cabezas, Jorge, Fan-Lan, Qing, Jacob, Elsa, Creighton, Amie, Castellanos-Penton, Patricia, Danisment, Ozge, Clarke, Shannon, Joeng, Joanna, Kelly, Deborah, To, Christine, Bushell, Wendy, van Bruggen, Rebekah, Gailus-Durner, Valerie, Fuchs, Helmut, Marschall, Susan, Dunst, Stefanie, Romberger, Markus, Rey, Bernhard, Fessele, Sabine, Gormanns, Philipp, Friedel, Roland, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), and Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Cancer Research, Genotype, Knockout, International Cooperation, [SDV]Life Sciences [q-bio], Mutant, Mutagenesis (molecular biology technique), cytology [Mouse Embryonic Stem Cells], Mouse Mutant Strains, Biology, Genome, Medical and Health Sciences, Article, 03 medical and health sciences, Mice, 0302 clinical medicine, Research community, ddc:570, Genetics, Animals, Allele, Gene, Genetic Association Studies, 030304 developmental biology, Mice, Knockout, 0303 health sciences, Internet, metabolism [Mouse Embryonic Stem Cells], Information Dissemination, mutant mouse IMPC, Mouse Embryonic Stem Cells, Biological Sciences, Null allele, Embryonic stem cell, Phenotype, Mutagenesis, Montertondo Mouse Production, Technology Platforms, International Mouse Phenotyping Consortium, Function (biology), 030217 neurology & neurosurgery, Gene Deletion, Developmental Biology
Abstract

The International Mouse Phenotyping Consortium reports the generation of new mouse mutant strains for over 5,000 genes from targeted embryonic stem cells on the C57BL/6N genetic background. This includes 2,850 null alleles for which no equivalent mutant mouse line exists, 2,987 novel conditional-ready alleles, and 4,433 novel reporter alleles. This nearly triples the number of genes with reporter alleles and almost doubles the number of conditional alleles available to the scientific community. When combined with more than 30 years of community effort, the total mutant allele mouse resource covers more than half of the genome. The extensively validated collection is archived and distributed through public repositories, facilitating availability to the worldwide biomedical research community, and expanding our understanding of gene function and human disease.

Published
2021

49. DICER1 deficit induces Alu RNA toxicity in age-related macular degeneration

Author

Kaneko, Hiroki, Dridi, Sami, Tarallo, Valeria, Gelfand, Bradley D., Fowler, Benjamin J., Cho, Won Gil, Kleinman, Mark E., Ponicsan, Steven L., Hauswirth, William W., Chiodo, Vince A., Karikó, Katalin, Yoo, Jae Wook, Lee, Dong-ki, Hadziahmetovic, Majda, Song, Ying, Misra, Smita, Chaudhuri, Gautam, Buaas, Frank W., Braun, Robert E., Hinton, David R., Zhang, Qing, Grossniklaus, Hans E., Provis, Jan M., Madigan, Michele C., Milam, Ann H., Justice, Nikki L., Albuquerque, Romulo J. C., Blandford, Alexander D., Bogdanovich, Sasha, Hirano, Yoshio, Witta, Jassir, Fuchs, Elaine, Littman, Dan R., Ambati, Balamurali K., Rudin, Charles M., Chong, Mark M. W., Provost, Patrick, Kugel, Jennifer F., Goodrich, James A., Dunaief, Joshua L., Baffi, Judit Z., and Ambati, Jayakrishna

Published
2011
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