A polygenic and phenotypic risk prediction for Polycystic Ovary Syndrome evaluated by Phenome-wide association studies
Yoonjung Yoonie Joo(Samsung Medical Center), M. Geoffrey Hayes(Northwestern University), Anna O. Basile(New York Genome Center), Cindy Meun(Erasmus MC), David R. Crosslin(Tulane University), Bahram Namjou(Oklahoma Medical Research Foundation), Rex L. Chisholm(Northwestern University), Tugce Karderi(Centre for Human Genetics), Frank Mentch(Children's Hospital of Philadelphia), Michelle R. Jones(Cedars-Sinai Medical Center), Robert J. Carroll(Vanderbilt University), Lea K. Davis(Digital Science (United States)), Digna R. Velez Edwards(Vanderbilt University Medical Center), Ian B. Stanaway(University of Washington), Margrit Urbanek(Northwestern University), Felix R. Day(University of Cambridge), Gail P. Jarvik(University of Washington Medical Center), Scott J. Hebbring(Marshfield Clinic), John B. Harley(Cincinnati Children's Hospital Medical Center), Joshua C. Denny(National Institutes of Health), Abel Kho(Northwestern University), Marylyn D. Ritchie(Medical University of South Carolina), Theresa L. Walunas(Northwestern University), Håkon Håkonarson(Children's Hospital of Philadelphia), Sarah A. Pendergrass, Ky’Era V. Actkins(Meharry Medical College), Kevin Ho(Geisinger Medical Center), Jennifer A. Pacheco(University of Arizona)
Cited by 11
Related Papers
The Gene Ontology resource: enriching a GOld mine
|Nucleic Acids Research|2020|4k
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
|Nature Genetics|2018|2.9k
The Gene Ontology knowledgebase in 2023
|Genetics|2023|2.8k