Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1038/s41598-018-25065-9
https://doi.org/10.1038/s41598-018-25065-9
Japanese GWAS identifies variants for bust-size, dysmenorrhea, and menstrual fever that are eQTLs for relevant protein-coding or long non-coding RNAs
Cited by: 11
Author(s): Tetsuya Hirata, Kaori Koga, Todd A. Johnson, Ryoko Morino, Kazuyuki Nakazono, Shigeo Kamitsuji, Masanori Akita, Maiko Kawajiri, Azusa Kami, Yuria Hoshi, Asami Tada, Ken-ichi Ishikawa, Maaya Hine, Miki Kobayashi, Nami Kurume, Tomoyuki Fujii, Naoyuki Kamatani, Yutaka Osuga
Published: over 6 years ago