Results 51 to 60 of about 4,753,986 (376)

COVID-19 and Genetic Variants of Protein Involved in the SARS-CoV-2 Entry into the Host Cells

Genes, 2020
The recent global COVID-19 public health emergency is caused by SARS-CoV-2 infections and can manifest extremely variable clinical symptoms. Host human genetic variability could influence susceptibility and response to infection.
A. Latini, E. Agolini, A. Novelli, P. Borgiani, Rosalinda Giannini, P. Gravina, A. Smarrazzo, M. Dauri, M. Andreoni, P. Rogliani, S. Bernardini, M. Helmer-Citterich, M. Biancolella, G. Novelli   +13 more
semanticscholar   +1 more source

Novel genetic variants data for adaptation to hypoxia in native chickens

BMC Research Notes, 2023
Objective The genomic response and the role of genetic variants in hypoxia condition are always interesting issues about adaption pathways at genomic level.
Atieh Moradi, Hamed Kharrati-Koopaee, Morteza Fardi, Mehdi Farahmandzadeh, Fatemeh Nowroozi   +4 more
doaj   +1 more source

A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease [PDF]

, 2015
Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association studies (GWAS) analysis of common SNPs.
Alver, M, Anand, SS, Ardissino, D, Armasu, SM, Assimes, TL, Auro, K, Bertram, L, Beutner, F, Bjonnes, A, Boerwinkle, E, Borecki, IB, Bottinger, EP, Buring, JE, Chambers, JC, Chasman, DI, Chen, S, Clarke, R, Collins, R, Consortium, C, Cupples, LA, Danesh, J, de Andrade, M, de Vries, PS, Dedoussis, G, Dehghan, A, Deloukas, P, Demuth, I, Elosua, R, Epstein, SE, Erdmann, J, Esko, T, Farrall, M, Feitosa, MF, Ford, I, Franceschini, N, Franco, OH, Franzosi, MG, Frossard, P, Gauguier, D, Gieger, C, Goel, A, Goodall, AH, Gottesman, O, Grace, C, Granger, CB, Gu, D, Gudnason, V, Gustafsson, S, Haber, M, Hall, AS, Hall, LM, Hamsten, A, Han, B-G, Harris, TB, Hazen, SL, Hengstenberg, C, Hofman, A, Hopewell, JC, Huang, J, Huang, J, Hwang, S-J, Ingelsson, E, Iribarren, C, Jalilzadeh, S, Jukema, JW, Kanoni, S, Karhunen, PJ, Kathiresan, S, Kessler, T, Kim, B-J, Kim, YK, Kleber, ME, Koenig, IR, Kooner, JS, Kullo, IJ, Kyriakou, T, Lannfelt, L, Lau, KW, Lehtimaki, T, Lieb, W, Lind, L, Lindgren, CM, Lokki, M-L, Loos, RJF, Lu, X, Lu, Y, Lyytikainen, L-P, Maerz, W, Magnusson, PK, Mallick, NH, McPherson, R, Mehra, N, Meitinger, T, Melander, O, Memon, F-U-R, Metspalu, A, Mihailov, E, Morris, AP, Morrison, AC, Nelson, CP, Nieminen, MS, Nikpay, M, O'Donnell, CJ, Palmer, CN, Pedersen, NL, Perola, M, Pervjakova, N, Peters, A, Qu, L, Quertermous, T, Rader, DJ, Rallidis, LS, Rasheed, A, Reilly, MP, Ridker, PM, Ripatti, S, Roberts, R, Rose, LM, Saleheen, D, Salfati, E, Salomaa, V, Samani, NJ, Samuel, M, Sanghera, DK, Saxena, R, Scholz, M, Schunkert, H, Schwartz, SM, Seedorf, U, Shah, SH, Sinisalo, J, Smith, AV, Stewart, AF, Stirrups, KE, Stott, DJ, Thiery, J, Thompson, JR, Tikkanen, E, Trompet, S, Uitterlinden, A, van Zuydam, NR, Wang, L, Watkins, H, Webb, TR, Willenborg, C, Won, H-H, Yang, X, Zalloua, PA, Zaman, KS, Zeng, L, Zhang, W, Zhao, W   +151 more
core   +5 more sources

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

Epidemiology, 2016
Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the increasing size and coverage of genome-wide association studies and the increasing availability of summarized data on genetic associations with risk ...
S. Burgess, J. Bowden, T. Fall, E. Ingelsson, S. Thompson   +4 more
semanticscholar   +1 more source

Rare Variants in Transcript and Potential Regulatory Regions Explain a Small Percentage of the Missing Heritability of Complex Traits in Cattle. [PDF]

PLoS ONE, 2015
The proportion of genetic variation in complex traits explained by rare variants is a key question for genomic prediction, and for identifying the basis of "missing heritability"--the proportion of additive genetic variation not captured by common ...
Oscar Gonzalez-Recio, Hans D Daetwyler, Iona M MacLeod, Jennie E Pryce, Phil J Bowman, Ben J Hayes, Michael E Goddard   +6 more
doaj   +1 more source

RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis

Nucleic Acids Res., 2020
Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of ...
Kunqi Chen, B. Song, Yujiao Tang, Zhen Wei, Qingru Xu, Jionglong Su, J. P. D. Magalhães, D. Rigden, Jia Meng   +8 more
semanticscholar   +1 more source

The genetic contribution to severe post-traumatic osteoarthritis [PDF]

, 2013
Objective: to compare the combined role of genetic variants loci associated with risk of knee or hip osteoarthritis (OA) in post-traumatic (PT) and non-traumatic (NT) cases of clinically severe OA leading to total joint replacement.
Ana M Valdes, Anderson, arcOGEN Consortium and arcOGEN Collaborators, Brown, Castaño-Betancourt, Day-Williams, Dieppe, Doherty, Englund, Evangelou, Herrero-Beaumont, Kenneth R Muir, Lopez, Margaret Wheeler, Michael Doherty, Muthuri, Rose A Maciewicz, Sally A Doherty, Sward, Valdes, Valdes, Weiya Zhang   +21 more
core   +1 more source

Population Genetics of Rare Variants and Complex Diseases [PDF]

, 2012
Identifying drivers of complex traits from the noisy signals of genetic variation obtained from high throughput genome sequencing technologies is a central challenge faced by human geneticists today.
Hernandez, Ryan D., Maher, M. Cyrus, Torgerson, Dara G., Uricchio, Lawrence H.   +3 more
core   +2 more sources

Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis [PDF]

, 2020
Background A non-invasive method to grade the severity of steatohepatitis and liver fibrosis is magnetic resonance imaging (MRI) based corrected T1 (cT1).
Banerjee, R, Banerjee, R, Bell, J.D., Bell, J.D., Hemingway, H., Hemingway, H., Hingorani, A.D., Hingorani, A.D., Kelly, M., Kelly, M., McGonigle, J., McGonigle, J., Neubauer, S., Neubauer, S., Nicholls, R.C., Nicholls, R.C., Parisinos, C.A., Parisinos, C.A., Patel, R.S., Patel, R.S., Thomas, E.L., Thomas, E.L., Wilman, H., Wilman, H., Yaghootkar, H., Yaghootkar, H.   +25 more
core   +3 more sources

MTSplice predicts effects of genetic variants on tissue-specific splicing

Genome Biology, 2020
We develop the free and open-source model Multi-tissue Splicing (MTSplice) to predict the effects of genetic variants on splicing of cassette exons in 56 human tissues.
Jun Cheng, M. H. Çelik, Anshul B Kundaje, J. Gagneur   +3 more
semanticscholar   +1 more source