16 results on '"Elliott, Hannah R."'
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2. Additional file 5 of Characterisation of ethnic differences in DNA methylation between UK-resident South Asians and Europeans
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Elliott, Hannah R., Burrows, Kimberley, Min, Josine L., Tillin, Therese, Mason, Dan, Wright, John, Santorelli, Gillian, Davey Smith, George, Lawlor, Deborah A., Hughes, Alun D., Chaturvedi, Nishi, and Relton, Caroline L.
- Abstract
Additional file 5. Figure S3. Comparison of effect sizes for cell composition adjustment of EWAS. Each CpG is represented by a point on the graph with 95% confidence intervals for effect estimates. Red dashed line: linear regression between data sets. Black dashed line: line of equality. Orange highlighted estimates: p ≤ 1.03 × 10−7 cell adjusted EWAS (n = 3922/16,344 CpG sites).
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- 2022
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3. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, Genetics of DNA Methylation Consortium, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, and Reiner, Alex P
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Genetic Markers ,Aging ,Multifactorial Inheritance ,Epigenetic clock ,Bioinformatics ,NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,Genetic ,Information and Computing Sciences ,Plasminogen Activator Inhibitor 1 ,Genetics ,Humans ,Innate ,GWAS ,Adiposity ,Nutrition ,Genome ,DNA methylation ,Prevention ,Inflammatory and immune system ,Human Genome ,Immunity ,Genetics of DNA Methylation Consortium ,Biological Sciences ,Lipid Metabolism ,C-Reactive Protein ,Good Health and Well Being ,Genetic Loci ,Educational Status ,CpG Islands ,Generic health relevance ,Biomarkers ,Environmental Sciences ,Granulocytes ,Epigenesis ,Human ,Genome-Wide Association Study - Abstract
BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
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- 2021
4. Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 1. Individual cohort descriptions and acknowledgements.
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- 2021
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5. Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 5. Colocalization plots.
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- 2021
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6. Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 5. Colocalization plots.
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- 2021
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7. Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 6. Review history.
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- 2021
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8. Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 6. Review history.
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- 2021
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9. Additional file 1 of DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts
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Juvinao-Quintero, Diana L., Marioni, Riccardo E., Ochoa-Rosales, Carolina, Russ, Tom C., Deary, Ian J., Meurs, Joyce B. J. Van, Voortman, Trudy, Marie-France Hivert, Sharp, Gemma C., Relton, Caroline L., and Elliott, Hannah R.
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Additional file 1. Additional information supporting findings of the present study.
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- 2021
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10. Additional file 4 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 4. Assessment of genomic inflation and heterogeneity.
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- 2021
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11. Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging
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McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.
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Additional file 3. Supplementary Figures - Figures S1-S31.
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- 2021
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12. miR-324-5p is up regulated in end-stage osteoarthritis and regulates Indian Hedgehog signalling by differing mechanisms in human and mouse
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Woods, Steven, Barter, Matt J., Elliott, Hannah R., McGillivray, Catherine M., Birch, Mark A., Clark, Ian M., Young, David A., Elliott, Hannah R [0000-0002-1500-3533], and Apollo - University of Cambridge Repository
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Adult ,hedgehog signalling ,glypicans ,SILAC ,Zinc Finger Protein GLI1 ,osteogenesis ,Cell Line ,Mice ,Glypicans ,Species Specificity ,Osteogenesis ,Genes, Reporter ,Osteoarthritis ,Animals ,Humans ,Hedgehog Proteins ,RNA, Small Interfering ,cartilage ,Luciferases ,3' Untranslated Regions ,microRNA ,Mesenchymal Stem Cells ,Smoothened Receptor ,osteoarthritis ,Disease Models, Animal ,MicroRNAs ,Cartilage ,Gene Expression Regulation ,Hedgehog signalling ,Signal Transduction - Abstract
The Hedgehog (Hh) signalling pathway plays important roles during embryonic development and in adult tissue homeostasis, for example cartilage, where its deregulation can lead to osteoarthritis (OA). microRNAs (miRNAs) are important regulators of gene expression, and have been implicated in the regulation of signalling pathways, including Hh, thereby impacting upon development and disease. Our aim was to identify the function of miRNAs whose expression is altered in OA cartilage. Here we identified an increase in miR-324-5p expression in OA cartilage and hypothesised that, as in glioma, miR-324-5p would regulate Hh signalling. We determined that miR-324-5p regulates osteogenesis in human mesenchymal stem cells (MSCs) and in mouse C3H10T1/2 cells. Luciferase reporter assays demonstrated that miR-324-5p directly regulated established targets GLI1 and SMO in human but not in mouse, suggesting species-dependent mechanism of Hh pathway regulation. Stable Isotope Labelling with Amino acids in Cell culture (SILAC), mass spectrometry and whole genome transcriptome analysis identified Glypican 1 (Gpc1) as a novel miR-324-5p target in mouse, which was confirmed by real-time RT-PCR, immunoblotting and 3'UTR-luciferase reporters. Knockdown of Gpc1 reduced Hh pathway activity, and phenocopied the effect of miR-324-5p on osteogenesis, indicating that miR-324-5p regulates Hh signalling in mouse via direct targeting of Gpc1. Finally, we showed that human GPC1 is not a direct target of miR-324-5p. Importantly, as well as identifying novel regulation of Indian Hedgehog (Ihh) signalling, this study demonstrates how a miRNA can show conserved pathway regulation in two species but by distinct mechanisms and highlights important differences between human diseases and mouse models.
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- 2019
13. Additional file 1 of Identifying epigenetic biomarkers of established prognostic factors and survival in a clinical cohort of individuals with oropharyngeal cancer
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Langdon, Ryan, Richmond, Rebecca, Elliott, Hannah R., Dudding, Tom, Kazmi, Nabila, Penfold, Chris, Ingarfield, Kate, Ho, Karen, Bretherick, Andrew, Haley, Chris, Yanni Zeng, Walker, Rosie M., Pawlita, Michael, Waterboer, Tim, Gaunt, Tom, Smith, George Davey, Suderman, Matthew, Thomas, Steve, Ness, Andy, and Relton, Caroline
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Additional file 1:Supplementary Figure 1. Heatmap showing correlation between top CpG sites (P
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- 2020
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14. Valproic acid triggers increased mitochondrial biogenesis in POLG-deficient fibroblasts
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Sitarz, Kamil S., Elliott, Hannah R., Karaman, Betül S., Relton, Caroline, Chinnery, Patrick F., and Horvath, Rita
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Endocrinology ,Endocrinology, Diabetes and Metabolism ,Genetics ,Biochemistry ,Molecular Biology - Published
- 2014
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15. miR-324-5p is up regulated in end-stage osteoarthritis and regulates Indian Hedgehog signalling by differing mechanisms in human and mouse
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Woods, Steven, Barter, Matt J, Elliott, Hannah R, McGillivray, Catherine M, Birch, Mark A, Clark, Ian M, and Young, David A
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Adult ,SILAC ,Zinc Finger Protein GLI1 ,Cell Line ,Mice ,Glypicans ,Species Specificity ,Osteogenesis ,Genes, Reporter ,Osteoarthritis ,Animals ,Humans ,Hedgehog Proteins ,RNA, Small Interfering ,Luciferases ,3' Untranslated Regions ,microRNA ,Mesenchymal Stem Cells ,Smoothened Receptor ,3. Good health ,Disease Models, Animal ,MicroRNAs ,Cartilage ,Gene Expression Regulation ,Hedgehog signalling ,Signal Transduction - Abstract
The Hedgehog (Hh) signalling pathway plays important roles during embryonic development and in adult tissue homeostasis, for example cartilage, where its deregulation can lead to osteoarthritis (OA). microRNAs (miRNAs) are important regulators of gene expression, and have been implicated in the regulation of signalling pathways, including Hh, thereby impacting upon development and disease. Our aim was to identify the function of miRNAs whose expression is altered in OA cartilage. Here we identified an increase in miR-324-5p expression in OA cartilage and hypothesised that, as in glioma, miR-324-5p would regulate Hh signalling. We determined that miR-324-5p regulates osteogenesis in human mesenchymal stem cells (MSCs) and in mouse C3H10T1/2 cells. Luciferase reporter assays demonstrated that miR-324-5p directly regulated established targets GLI1 and SMO in human but not in mouse, suggesting species-dependent mechanism of Hh pathway regulation. Stable Isotope Labelling with Amino acids in Cell culture (SILAC), mass spectrometry and whole genome transcriptome analysis identified Glypican 1 (Gpc1) as a novel miR-324-5p target in mouse, which was confirmed by real-time RT-PCR, immunoblotting and 3'UTR-luciferase reporters. Knockdown of Gpc1 reduced Hh pathway activity, and phenocopied the effect of miR-324-5p on osteogenesis, indicating that miR-324-5p regulates Hh signalling in mouse via direct targeting of Gpc1. Finally, we showed that human GPC1 is not a direct target of miR-324-5p. Importantly, as well as identifying novel regulation of Indian Hedgehog (Ihh) signalling, this study demonstrates how a miRNA can show conserved pathway regulation in two species but by distinct mechanisms and highlights important differences between human diseases and mouse models.
16. The EWAS Catalog: a database of epigenome-wide association studies
- Author
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Thomas Battram, Paul Yousefi, Gemma Crawford, Claire Prince, Mahsa Sheikhali Babaei, Gemma Sharp, Charlie Hatcher, María Jesús Vega-Salas, Sahar Khodabakhsh, Oliver Whitehurst, Ryan Langdon, Luke Mahoney, Hannah R. Elliott, Giulia Mancano, Matthew A. Lee, Sarah H. Watkins, Abigail C. Lay, Gibran Hemani, Tom R. Gaunt, Caroline L. Relton, James R. Staley, Matthew Suderman, Elliott, Hannah R., Lay, Abigail C., Gaunt, Tom R., Relton, Caroline L., and Staley, James R.
- Subjects
Medicine (miscellaneous) ,ALSPAC ,General Biochemistry, Genetics and Molecular Biology ,Bristol Population Health Science Institute - Abstract
Epigenome-wide association studies (EWAS) seek to quantify associations between traits/exposures and DNA methylation measured at thousands or millions of CpG sites across the genome. In recent years, the increase in availability of DNA methylation measures in population-based cohorts and case-control studies has resulted in a dramatic expansion of the number of EWAS being performed and published. To make this rich source of results more accessible, we have manually curated a database of CpG-trait associations (with p-4) from published EWAS, each assaying over 100,000 CpGs in at least 100 individuals. From January 7, 2022, The EWAS Catalog contained 1,737,746 associations from 2,686 EWAS. This includes 1,345,398 associations from 342 peer-reviewed publications. In addition, it also contains summary statistics for 392,348 associations from 427 EWAS, performed on data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Gene Expression Omnibus (GEO). The database is accompanied by a web-based tool and R package, giving researchers the opportunity to query EWAS associations quickly and easily, and gain insight into the molecular underpinnings of disease as well as the impact of traits and exposures on the DNA methylome. The EWAS Catalog data extraction team continue to update the database monthly and we encourage any EWAS authors to upload their summary statistics to our website. Details of how to upload data can be found here: http://www.ewascatalog.org/upload. The EWAS Catalog is available at http://www.ewascatalog.org.
- Published
- 2021
Catalog
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