Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Qin Qin Huang"'
Autor:
Qin Qin Huang, Neneh Sallah, Diana Dunca, Bhavi Trivedi, Karen A. Hunt, Sam Hodgson, Samuel A. Lambert, Elena Arciero, John Wright, Chris Griffiths, Richard C. Trembath, Harry Hemingway, Michael Inouye, Sarah Finer, David A. van Heel, R. Thomas Lumbers, Hilary C. Martin, Karoline Kuchenbaecker
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Most genetic studies of disease have been done in European ancestry cohorts, and the relevance to other populations is not guaranteed. Here, the authors use data from 22,000 British South Asian individuals and find that the transferability of polygen
Externí odkaz:
https://doaj.org/article/af139749eecb4c7f9b43bbe55d9cbd93
Autor:
Elena Arciero, Sufyan A. Dogra, Daniel S. Malawsky, Massimo Mezzavilla, Theofanis Tsismentzoglou, Qin Qin Huang, Karen A. Hunt, Dan Mason, Saghira Malik Sharif, David A. van Heel, Eamonn Sheridan, John Wright, Neil Small, Shai Carmi, Mark M. Iles, Hilary C. Martin
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Little is known about the recent population history or the effects of endogamy on the Pakistani population. Here the authors examine the impact of the biraderi social stratification system on the population structure of individuals of British Pakista
Externí odkaz:
https://doaj.org/article/ea0a984a74a946349d19b1f2b48a3d6c
Autor:
Sam Hodgson, Qin Qin Huang, Neneh Sallah, Genes & Health Research Team, Chris J Griffiths, William G Newman, Richard C Trembath, John Wright, R Thomas Lumbers, Karoline Kuchenbaecker, David A van Heel, Rohini Mathur, Hilary C Martin, Sarah Finer
Publikováno v:
PLoS Medicine, Vol 19, Iss 5, p e1003981 (2022)
BackgroundType 2 diabetes (T2D) is highly prevalent in British South Asians, yet they are underrepresented in research. Genes & Health (G&H) is a large, population study of British Pakistanis and Bangladeshis (BPB) comprising genomic and routine heal
Externí odkaz:
https://doaj.org/article/62845c8652514e528a945b09500a0c31
Autor:
Qin Qin Huang, Howard H. F. Tang, Shu Mei Teo, Danny Mok, Scott C. Ritchie, Artika P. Nath, Marta Brozynska, Agus Salim, Andrew Bakshi, Barbara J. Holt, Chiea Chuen Khor, Peter D. Sly, Patrick G. Holt, Kathryn E. Holt, Michael Inouye
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Some immune-mediated diseases may originate in early childhood. The authors mapped eQTLs and response eQTLs to various stimuli in neonatal myeloid cells and T cells, and revealed their potential role in immune-mediated diseases using colocalisation a
Externí odkaz:
https://doaj.org/article/4fd74a8582194eebb54003eaafc6eecf
Autor:
Tracy L McGregor, Karen A Hunt, Elaine Yee, Dan Mason, Paul Nioi, Simina Ticau, Marissa Pelosi, Perry R Loken, Sarah Finer, Deborah A Lawlor, Eric B Fauman, Qin Qin Huang, Christopher J Griffiths, Daniel G MacArthur, Richard C Trembath, Devin Oglesbee, John C Lieske, David V Erbe, John Wright, David A van Heel
Publikováno v:
eLife, Vol 9 (2020)
By sequencing autozygous human populations, we identified a healthy adult woman with lifelong complete knockout of HAO1 (expected ~1 in 30 million outbred people). HAO1 (glycolate oxidase) silencing is the mechanism of lumasiran, an investigational R
Externí odkaz:
https://doaj.org/article/ccbbccdcb771471c98bfa8da8d56bd48
Autor:
Sean G Byars, Qin Qin Huang, Lesley-Ann Gray, Andrew Bakshi, Samuli Ripatti, Gad Abraham, Stephen C Stearns, Michael Inouye
Publikováno v:
PLoS Genetics, Vol 13, Iss 6, p e1006328 (2017)
Traditional genome-wide scans for positive selection have mainly uncovered selective sweeps associated with monogenic traits. While selection on quantitative traits is much more common, very few signals have been detected because of their polygenic n
Externí odkaz:
https://doaj.org/article/ecb7ea78842d449f96c5794139ce2ef1
Autor:
Duckett, Katie, Williamson, Alice, Kincaid, John W. R., Rainbow, Kara, Corbin, Laura J., Martin, Hilary C., Eberhardt, Ruth Y., Qin Qin Huang, Hurles, Matthew E., Wen He, Brauner, Raja, Delaney, Angela, Dunkel, Leo, Grinspon, Romina P., Hall, Janet E., Hirschhorn, Joel N., Howard, Sasha R., Latronico, Ana C., Jorge, Alexander A. L., McElreavey, Ken
Publikováno v:
Journal of Clinical Endocrinology & Metabolism; Dec2023, Vol. 108 Issue 12, pe1580-e1587, 8p
Autor:
Buu Truong, Leland E. Hull, Yunfeng Ruan, Qin Qin Huang, Whitney Hornsby, Hilary Martin, David A. van Heel, Ying Wang, Alicia R. Martin, S. Hong Lee, Pradeep Natarajan
Publikováno v:
medRxiv
Polygenic risk scores (PRS) are an emerging tool to predict the clinical phenotypes and outcomes of individuals. Validation and transferability of existing PRS across independent datasets and diverse ancestries are limited, which hinders the practica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::753f9d355f069033cd60b13126b2602f
https://europepmc.org/articles/PMC9980241/
https://europepmc.org/articles/PMC9980241/
Autor:
Varun Warrier, Eva-Maria Stauffer, Qin Qin Huang, Emilie M. Wigdor, Eric A.W. Slob, Jakob Seidlitz, Lisa Ronan, Sofie Valk, Travis T. Mallard, Andrew D. Grotzinger, Rafael Romero-Garcia, Simon Baron-Cohen, Daniel H. Geschwind, Madeline Lancaster, Graham K. Murray, Michael J. Gandal, Aaron Alexander-Bloch, Hyejung Won, Hilary C. Martin, Edward T. Bullmore, Richard A.I. Bethlehem
Publikováno v:
bioRxiv
Our understanding of the genetic architecture of the human cerebral cortex is limited both in terms of the diversity of brain structural phenotypes and the anatomical granularity of their associations with genetic variants. Here, we conducted genome-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9617834497ebddcc3a04f918751fc032
https://hdl.handle.net/21.11116/0000-000C-0ABA-821.11116/0000-000C-0ABC-6
https://hdl.handle.net/21.11116/0000-000C-0ABA-821.11116/0000-000C-0ABC-6
Autor:
Andrew D Beswick, Tõnu Esko, Niki Dimou, Xue Zhong, Jette Bork-Jensen, Petra Schubert, Masato Akiyama, Girish N. Nadkarni, Ruth J. F. Loos, Huijun Qian, Michele K. Evans, Stephen S. Rich, Nicole Soranzo, Henry Völzke, Yongmei Liu, Nicholas A. Watkins, Markus M. Lerch, Richard C. Trembath, Adam S. Butterworth, Erwin P. Bottinger, Jennifer E. Huffman, Bruce M. Psaty, Jingzhong Ding, Michael Preuss, Yoav Ben-Shlomo, Bhavi Trivedi, Yoichiro Kamatani, David A. van Heel, Kjell Nikus, Torben Hansen, Adolfo Correa, Mohsen Ghanbari, Paul L. Auer, Véronique Laplante, Ken Sin Lo, Hua Tang, Peter W.F. Wilson, Paul Elliott, David J. Roberts, Hilary C. Martin, Jean-Claude Tardif, Praveen Surendran, Regina Manansala, Terho Lehtimäki, Emanuele Di Angelantonio, Fotis Koskeridis, Alexander P. Reiner, Mélissa Beaudoin, Vijay G. Sankaran, Benjamin Rodriguez, William J. Astle, Parsa Akbari, Frank J. A. van Rooij, Yun Li, Andreas Greinacher, Abdou Mousas, Andrew D. Johnson, Yukinori Okada, Michael H. Guo, Leo-Pekka Lyytikäinen, Traci M. Bartz, Minhui Chen, Alan B. Zonderman, Niels Grarup, Oluf Pedersen, Kumaraswamynaidu Chitrala, Jeffrey Haessler, Ming-Huei Chen, Cassandra N. Spracklen, Karen L. Mohlke, Guillaume Lettre, Erik L. Bao, Bingshan Li, James S. Floyd, Wei Huang, Ani Manichaikul, John Danesh, Uwe Völker, Allan Linneberg, Evangelos Evangelou, Joanna M. M. Howson, Olli T. Raitakari, Tim Kacprowski, Jean-François Gauchat, Hélène Choquet, Arden Moscati, Saori Sakaue, Mika Kähönen, Linda Broer, Caleb A. Lareau, Qin Qin Huang, Matthias Nauck, Yoshinori Murakami, Charleston W. K. Chiang, VA Million Veteran Program, Nina Mononen, Tao Jiang, Laura M. Raffield, Jerome I. Rotter, Leslie A. Lange, Jonathan D. Rosen, Eric Jorgenson, Savita Karthikeyan, Karen A. Hunt, Nathan Pankratz, Kelly Cho, Masahiro Kanai, Willem H. Ouwehand, Jennifer A. Brody, Koichi Matsuda, Dragana Vuckovic
Publikováno v:
Cell
Lettre, G & Auer, P L 2020, ' Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations ', Cell, vol. 182, no. 5, pp. 1198-1213.e14 . https://doi.org/10.1016/j.cell.2020.06.045
Cell, 182(5), 1198-1213.e14. Cell Press
Chen, M-H, Raffield, L M, Mousas, A, Sakaue, S, Huffman, J E, Moscati, A, Trivedi, B, Jiang, T, Akbari, P, Vuckovic, D, Bao, E L, Zhong, X, Manansala, R, Laplante, V, Chen, M, Lo, K S, Qian, H, Lareau, C A, Beaudoin, M, Hunt, K A, Akiyama, M, Bartz, T M, Ben-Shlomo, Y, Beswick, A, Bork-Jensen, J, Bottinger, E P, Brody, J A, van Rooij, F J A, Chitrala, K, Cho, K, Choquet, H, Correa, A, Danesh, J, Di Angelantonio, E, Dimou, N, Ding, J, Elliott, P, Esko, T, Evans, M K, Floyd, J S, Broer, L, Grarup, N, Guo, M H, Greinacher, A, Haessler, J, Hansen, T, Howson, J M M, Linneberg, A, Pedersen, O, Loos, R J F & VA Million Veteran Program 2020, ' Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations ', Cell, vol. 182, no. 5, pp. 1198-+ . https://doi.org/10.1016/j.cell.2020.06.045
Lettre, G & Auer, P L 2020, ' Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations ', Cell, vol. 182, no. 5, pp. 1198-1213.e14 . https://doi.org/10.1016/j.cell.2020.06.045
Cell, 182(5), 1198-1213.e14. Cell Press
Chen, M-H, Raffield, L M, Mousas, A, Sakaue, S, Huffman, J E, Moscati, A, Trivedi, B, Jiang, T, Akbari, P, Vuckovic, D, Bao, E L, Zhong, X, Manansala, R, Laplante, V, Chen, M, Lo, K S, Qian, H, Lareau, C A, Beaudoin, M, Hunt, K A, Akiyama, M, Bartz, T M, Ben-Shlomo, Y, Beswick, A, Bork-Jensen, J, Bottinger, E P, Brody, J A, van Rooij, F J A, Chitrala, K, Cho, K, Choquet, H, Correa, A, Danesh, J, Di Angelantonio, E, Dimou, N, Ding, J, Elliott, P, Esko, T, Evans, M K, Floyd, J S, Broer, L, Grarup, N, Guo, M H, Greinacher, A, Haessler, J, Hansen, T, Howson, J M M, Linneberg, A, Pedersen, O, Loos, R J F & VA Million Veteran Program 2020, ' Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations ', Cell, vol. 182, no. 5, pp. 1198-+ . https://doi.org/10.1016/j.cell.2020.06.045
Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant assoc