Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy

Autor: Natalie DeForest, Yuqi Wang, Zhiyi Zhu, Jacqueline S. Dron, Ryan Koesterer, Pradeep Natarajan, Jason Flannick, Tiffany Amariuta, Gina M. Peloso, Amit R. Majithia

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)

Abstract Insulin resistance causes multiple epidemic metabolic diseases, including type 2 diabetes, cardiovascular disease, and fatty liver, but is not routinely measured in epidemiological studies. To discover novel insulin resistance genes in the g

Externí odkaz: https://doaj.org/article/545915b37a864af5b8ab6b7c321a7802

GWAS for systemic sclerosis identifies six novel susceptibility loci including one in the Fcγ receptor region

Autor: Yuki Ishikawa, Nao Tanaka, Yoshihide Asano, Masanari Kodera, Yuichiro Shirai, Mitsuteru Akahoshi, Minoru Hasegawa, Takashi Matsushita, Kazuyoshi Saito, Sei-ichiro Motegi, Hajime Yoshifuji, Ayumi Yoshizaki, Tomohiro Kohmoto, Kae Takagi, Akira Oka, Miho Kanda, Yoshihito Tanaka, Yumi Ito, Kazuhisa Nakano, Hiroshi Kasamatsu, Akira Utsunomiya, Akiko Sekiguchi, Hiroaki Niiro, Masatoshi Jinnin, Katsunari Makino, Takamitsu Makino, Hironobu Ihn, Motohisa Yamamoto, Chisako Suzuki, Hiroki Takahashi, Emi Nishida, Akimichi Morita, Toshiyuki Yamamoto, Manabu Fujimoto, Yuya Kondo, Daisuke Goto, Takayuki Sumida, Naho Ayuzawa, Hidetoshi Yanagida, Tetsuya Horita, Tatsuya Atsumi, Hirahito Endo, Yoshihito Shima, Atsushi Kumanogoh, Jun Hirata, Nao Otomo, Hiroyuki Suetsugu, Yoshinao Koike, Kohei Tomizuka, Soichiro Yoshino, Xiaoxi Liu, Shuji Ito, Keiko Hikino, Akari Suzuki, Yukihide Momozawa, Shiro Ikegawa, Yoshiya Tanaka, Osamu Ishikawa, Kazuhiko Takehara, Takeshi Torii, Shinichi Sato, Yukinori Okada, Tsuneyo Mimori, Fumihiko Matsuda, Koichi Matsuda, Tiffany Amariuta, Issei Imoto, Keitaro Matsuo, Masataka Kuwana, Yasushi Kawaguchi, Koichiro Ohmura, Chikashi Terao

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)

Abstract Here we report the largest Asian genome-wide association study (GWAS) for systemic sclerosis performed to date, based on data from Japanese subjects and comprising of 1428 cases and 112,599 controls. The lead SNP is in the FCGR/FCRL region,

Externí odkaz: https://doaj.org/article/2821292baef747248e9e487cef06ad07

Early progression to active tuberculosis is a highly heritable trait driven by 3q23 in Peruvians

Autor: Yang Luo, Sara Suliman, Samira Asgari, Tiffany Amariuta, Yuriy Baglaenko, Marta Martínez-Bonet, Kazuyoshi Ishigaki, Maria Gutierrez-Arcelus, Roger Calderon, Leonid Lecca, Segundo R. León, Judith Jimenez, Rosa Yataco, Carmen Contreras, Jerome T. Galea, Mercedes Becerra, Sergey Nejentsev, Peter A. Nigrovic, D. Branch Moody, Megan B. Murray, Soumya Raychaudhuri

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)

Between 5 and 15% of latent Mycobacterium tuberculosis infections develop into active tuberculosis (TB). Here, Luo et al. report a genome-wide association study for early TB progression in a total of 4002 active TB cases and their household contacts

Externí odkaz: https://doaj.org/article/36fa9a1eb19843fd9794c63c4cc444fd

Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis

Autor: Kazuyoshi, Ishigaki, Saori, Sakaue, Chikashi, Terao, Yang, Luo, Kyuto, Sonehara, Kensuke, Yamaguchi, Tiffany, Amariuta, Chun Lai, Too, Vincent A, Laufer, Ian C, Scott, Sebastien, Viatte, Meiko, Takahashi, Koichiro, Ohmura, Akira, Murasawa, Motomu, Hashimoto, Hiromu, Ito, Mohammed, Hammoudeh, Samar Al, Emadi, Basel K, Masri, Hussein, Halabi, Humeira, Badsha, Imad W, Uthman, Xin, Wu, Li, Lin, Ting, Li, Darren, Plant, Anne, Barton, Gisela, Orozco, Suzanne M M, Verstappen, John, Bowes, Alexander J, MacGregor, Suguru, Honda, Masaru, Koido, Kohei, Tomizuka, Yoichiro, Kamatani, Hiroaki, Tanaka, Eiichi, Tanaka, Akari, Suzuki, Yuichi, Maeda, Kenichi, Yamamoto, Satoru, Miyawaki, Gang, Xie, Jinyi, Zhang, Christopher I, Amos, Edward, Keystone, Gertjan, Wolbink, Irene, van der Horst-Bruinsma, Jing, Cui, Katherine P, Liao, Robert J, Carroll, Hye-Soon, Lee, So-Young, Bang, Katherine A, Siminovitch, Niek, de Vries, Lars, Alfredsson, Solbritt, Rantapää-Dahlqvist, Elizabeth W, Karlson, Sang-Cheol, Bae, Robert P, Kimberly, Jeffrey C, Edberg, Xavier, Mariette, Tom, Huizinga, Philippe, Dieudé, Matthias, Schneider, Martin, Kerick, Joshua C, Denny, Koichi, Matsuda, Keitaro, Matsuo, Tsuneyo, Mimori, Fumihiko, Matsuda, Keishi, Fujio, Yoshiya, Tanaka, Atsushi, Kumanogoh, Matthew, Traylor, Cathryn M, Lewis, Stephen, Eyre, Huji, Xu, Richa, Saxena, Thurayya, Arayssi, Yuta, Kochi, Katsunori, Ikari, Masayoshi, Harigai, Peter K, Gregersen, Kazuhiko, Yamamoto, S, Louis Bridges, Leonid, Padyukov, Javier, Martin, Lars, Klareskog, Yukinori, Okada, Soumya, Raychaudhuri

Publikováno v: Nature Genetics, 54, 1640-1651
The Biobank Japan Project 2022, ' Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis ', Nature Genetics, vol. 54, no. 11, pp. 1640-1651 . https://doi.org/10.1038/s41588-022-01213-w
Nature genetics, 54(11), 1640-1651. Nature Publishing Group
Nature Genetics, 54(11), 1640-+. NATURE PORTFOLIO
Nature Genetics, 54(11), 1640-1651. Nature Publishing Group
Nature Genetics, 54, 11, pp. 1640-1651
Nat Genet

Multi-ancestry genome-wide association analyses identify 124 risk loci for rheumatoid arthritis, of which 34 are novel. A polygenic risk score based on multi-ancestry data showed comparable performance between populations of European and East Asian a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e48733cf2e8205acbde830a39b0265
https://doi.org/10.1038/s41588-022-01213-w

High-dimensional phenotyping to define the genetic basis of cellular morphology

Autor: Matthew Tegtmeyer, Jatin Arora, Samira Asgari, Beth A. Cimini, Emily Peirent, Dhara Liyanage, Gregory Way, Erin Weisbart, Aparna Nathan, Tiffany Amariuta, Kevin Eggan, Marzieh Haghighi, Steven A. McCarroll, Anne E. Carpenter, Shantanu Singh, Ralda Nehme, Soumya Raychaudhuri

The morphology of cells is dynamic and mediated by genetic and environmental factors. Characterizing how genetic variation impacts cell morphology can provide an important link between disease association and cellular function. Here, we combined geno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0245e95cf761df350b9ed8520e961de
https://doi.org/10.1101/2023.01.09.522731