Searching and visualizing genetic associations of pregnancy traits by using GnuMoM2b
dc.contributor.author | Yan, Qi | |
dc.contributor.author | Guerrero, Rafael F. | |
dc.contributor.author | Khan, Raiyan R. | |
dc.contributor.author | Surujnarine, Andy A. | |
dc.contributor.author | Wapner, Ronald J. | |
dc.contributor.author | Hahn, Matthew W. | |
dc.contributor.author | Raja, Anita | |
dc.contributor.author | Salleb-Aouissi, Ansaf | |
dc.contributor.author | Grobman, William A. | |
dc.contributor.author | Simhan, Hyagriv | |
dc.contributor.author | Blue, Nathan R. | |
dc.contributor.author | Silver, Robert | |
dc.contributor.author | Chung, Judith H. | |
dc.contributor.author | Reddy, Uma M. | |
dc.contributor.author | Radivojac, Predrag | |
dc.contributor.author | Pe’er, Itsik | |
dc.contributor.author | Haas, David M. | |
dc.contributor.department | Obstetrics and Gynecology, School of Medicine | |
dc.date.accessioned | 2024-10-11T10:36:20Z | |
dc.date.available | 2024-10-11T10:36:20Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Adverse pregnancy outcomes (APOs) are major risk factors for women's health during pregnancy and even in the years after pregnancy. Due to the heterogeneity of APOs, only few genetic associations have been identified. In this report, we conducted genome-wide association studies (GWASs) of 479 traits that are possibly related to APOs using a large and racially diverse study, Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b). To display extensive results, we developed a web-based tool GnuMoM2b (https://gnumom2b.cumcobgyn.org/) for searching, visualizing, and sharing results from a GWAS of 479 pregnancy traits as well as phenome-wide association studies of more than 17 million single nucleotide polymorphisms. The genetic results from 3 ancestries (Europeans, Africans, and Admixed Americans) and meta-analyses are populated in GnuMoM2b. In conclusion, GnuMoM2b is a valuable resource for extraction of pregnancy-related genetic results and shows the potential to facilitate meaningful discoveries. | |
dc.eprint.version | Final published version | |
dc.identifier.citation | Yan Q, Guerrero RF, Khan RR, et al. Searching and visualizing genetic associations of pregnancy traits by using GnuMoM2b. Genetics. 2023;225(2):iyad151. doi:10.1093/genetics/iyad151 | |
dc.identifier.uri | https://hdl.handle.net/1805/43896 | |
dc.language.iso | en_US | |
dc.publisher | Oxford University Press | |
dc.relation.isversionof | 10.1093/genetics/iyad151 | |
dc.relation.journal | Genetics | |
dc.rights | Publisher Policy | |
dc.source | PMC | |
dc.subject | GWAS | |
dc.subject | PheWAS | |
dc.subject | Adverse pregnancy outcomes | |
dc.subject | nuMoM2b | |
dc.title | Searching and visualizing genetic associations of pregnancy traits by using GnuMoM2b | |
dc.type | Article | |
ul.alternative.fulltext | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691790/ |