Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Mark P Keller"'
Autor:
Christopher H Emfinger, Lauren E Clark, Brian Yandell, Kathryn L Schueler, Shane P Simonett, Donnie S Stapleton, Kelly A Mitok, Matthew J Merrins, Mark P Keller, Alan D Attie
Publikováno v:
eLife, Vol 12 (2023)
Insufficient insulin secretion to meet metabolic demand results in diabetes. The intracellular flux of Ca2+ into β-cells triggers insulin release. Since genetics strongly influences variation in islet secretory responses, we surveyed islet Ca2+ dyna
Externí odkaz:
https://doaj.org/article/de0ff10cf88640b2b8b46a53e15528a6
Autor:
Tara R Price, Donnie S Stapleton, Kathryn L Schueler, Marie K Norris, Brian W Parks, Brian S Yandell, Gary A Churchill, William L Holland, Mark P Keller, Alan D Attie
Publikováno v:
PLoS Genetics, Vol 19, Iss 7, p e1010713 (2023)
We and others have previously shown that genetic association can be used to make causal connections between gene loci and small molecules measured by mass spectrometry in the bloodstream and in tissues. We identified a locus on mouse chromosome 7 whe
Externí odkaz:
https://doaj.org/article/754e612d4ef044c484fffca47c26b6ac
Autor:
Karthickeyan Chella Krishnan, Elie-Julien El Hachem, Mark P Keller, Sanjeet G Patel, Luke Carroll, Alexis Diaz Vegas, Isabela Gerdes Gyuricza, Christine Light, Yang Cao, Calvin Pan, Karolina Elżbieta Kaczor-Urbanowicz, Varun Shravah, Diana Anum, Matteo Pellegrini, Chi Fung Lee, Marcus M Seldin, Nadia A Rosenthal, Gary A Churchill, Alan D Attie, Benjamin Parker, David E James, Aldons J Lusis
Publikováno v:
eLife, Vol 12 (2023)
Mitochondria play an important role in both normal heart function and disease etiology. We report analysis of common genetic variations contributing to mitochondrial and heart functions using an integrative proteomics approach in a panel of inbred mo
Externí odkaz:
https://doaj.org/article/2a1b6fe7048b41d5bd20badbfb9d149f
Autor:
Alexandra K Lobo, Lindsay L Traeger, Mark P Keller, Alan D Attie, Federico E Rey, Karl W Broman
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 11, Iss 11 (2021)
AbstractIn a Diversity Outbred mouse project with genotype data on 500 mice, including 297 with microbiome data, we identified three sets of sample mix-ups (two pairs and one trio) as well as at least 15 microbiome samples that appear to be mixtures
Externí odkaz:
https://doaj.org/article/8a31bc6b7da540eba052ba5c19ce6465
Autor:
Julia H Kemis, Vanessa Linke, Kelsey L Barrett, Frederick J Boehm, Lindsay L Traeger, Mark P Keller, Mary E Rabaglia, Kathryn L Schueler, Donald S Stapleton, Daniel M Gatti, Gary A Churchill, Daniel Amador-Noguez, Jason D Russell, Brian S Yandell, Karl W Broman, Joshua J Coon, Alan D Attie, Federico E Rey
Publikováno v:
PLoS Genetics, Vol 15, Iss 8, p e1008073 (2019)
The microbial communities that inhabit the distal gut of humans and other mammals exhibit large inter-individual variation. While host genetics is a known factor that influences gut microbiota composition, the mechanisms underlying this variation rem
Externí odkaz:
https://doaj.org/article/6db44a52ce48480e9a173ce78d918b85
Autor:
Mark P Keller, Pradyut K Paul, Mary E Rabaglia, Donnie S Stapleton, Kathryn L Schueler, Aimee Teo Broman, Shuyun Isabella Ye, Ning Leng, Christopher J Brandon, Elias Chaibub Neto, Christopher L Plaisier, Shane P Simonett, Melkam A Kebede, Gloria M Sheynkman, Mark A Klein, Nitin S Baliga, Lloyd M Smith, Karl W Broman, Brian S Yandell, Christina Kendziorski, Alan D Attie
Publikováno v:
PLoS Genetics, Vol 12, Iss 12, p e1006466 (2016)
Human genome-wide association studies (GWAS) have shown that genetic variation at >130 gene loci is associated with type 2 diabetes (T2D). We asked if the expression of the candidate T2D-associated genes within these loci is regulated by a common loc
Externí odkaz:
https://doaj.org/article/a7a38973596a4970afaa372927d78706
Autor:
Zhidong Tu, Mark P Keller, Chunsheng Zhang, Mary E Rabaglia, Danielle M Greenawalt, Xia Yang, I-Ming Wang, Hongyue Dai, Matthew D Bruss, Pek Y Lum, Yun-Ping Zhou, Daniel M Kemp, Christina Kendziorski, Brian S Yandell, Alan D Attie, Eric E Schadt, Jun Zhu
Publikováno v:
PLoS Genetics, Vol 8, Iss 12, p e1003107 (2012)
Complex diseases result from molecular changes induced by multiple genetic factors and the environment. To derive a systems view of how genetic loci interact in the context of tissue-specific molecular networks, we constructed an F2 intercross compri
Externí odkaz:
https://doaj.org/article/0e466adc0d29468ab383a6fed2c47c6b
Autor:
Sushant Bhatnagar, Angie T Oler, Mary E Rabaglia, Donald S Stapleton, Kathryn L Schueler, Nathan A Truchan, Sara L Worzella, Jonathan P Stoehr, Susanne M Clee, Brian S Yandell, Mark P Keller, Debbie C Thurmond, Alan D Attie
Publikováno v:
PLoS Genetics, Vol 7, Iss 10, p e1002323 (2011)
We previously mapped a type 2 diabetes (T2D) locus on chromosome 16 (Chr 16) in an F2 intercross from the BTBR T (+) tf (BTBR) Lep(ob/ob) and C57BL/6 (B6) Lep(ob/ob) mouse strains. Introgression of BTBR Chr 16 into B6 mice resulted in a consomic mous
Externí odkaz:
https://doaj.org/article/f5f6a4e093c04a5b93c5c3211496fac1
Autor:
Hua Zhong, John Beaulaurier, Pek Yee Lum, Cliona Molony, Xia Yang, Douglas J Macneil, Drew T Weingarth, Bin Zhang, Danielle Greenawalt, Radu Dobrin, Ke Hao, Sangsoon Woo, Christine Fabre-Suver, Su Qian, Michael R Tota, Mark P Keller, Christina M Kendziorski, Brian S Yandell, Victor Castro, Alan D Attie, Lee M Kaplan, Eric E Schadt
Publikováno v:
PLoS Genetics, Vol 6, Iss 5, p e1000932 (2010)
Genome-wide association studies (GWAS) have demonstrated the ability to identify the strongest causal common variants in complex human diseases. However, to date, the massive data generated from GWAS have not been maximally explored to identify true
Externí odkaz:
https://doaj.org/article/ce5771819e0c48389a04a2ee9678fe6e
Autor:
Christine T Ferrara, Ping Wang, Elias Chaibub Neto, Robert D Stevens, James R Bain, Brett R Wenner, Olga R Ilkayeva, Mark P Keller, Daniel A Blasiole, Christina Kendziorski, Brian S Yandell, Christopher B Newgard, Alan D Attie
Publikováno v:
PLoS Genetics, Vol 4, Iss 3, p e1000034 (2008)
Although numerous quantitative trait loci (QTL) influencing disease-related phenotypes have been detected through gene mapping and positional cloning, identification of the individual gene(s) and molecular pathways leading to those phenotypes is ofte
Externí odkaz:
https://doaj.org/article/48e820b028a54bf79bb5efbff00034d9