Código QR (código de barras bidimensional)

KidneyGenAfrica multi-cohort Genome-wide association study and polygenic prediction of kidney function in 110,000 Africans

Abstract Kidney disease disproportionately affects populations of African ancestry, yet most genetic studies have focused on Europeans. Here, we present a three-stage genome-wide association study meta-analysis of estimated glomerular filtration rate in ~26,000 individuals across Eastern, Western, a...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Principais autores: Abram B. Kamiza, Tinashe Chikowore, Guanjie Chen, Oyesola Ojewunmi, Tafadzwa Machipisa, Feng Zhou, Richard Mayanja, Sounkou Toure, Opeyemi Soremekun, Christopher Kintu, Mariam Nakabuye, Mine Koprulu, Allan Kalungi, Robert Kalyesubula, Babatunde Salako, Oyekanmi Nashiru, Manuel Corpas, Cassianne Robinson-Cohen, Nora Franceschini, Cristian Pattaro, Anna Köttgen, Dorothea Nitsch, Claudia Langenberg, Catherine Tcheandjieu, Moffat Nyirenda, Andrew P. Morris, Jennifer Asimit, Eleftheria Zeggini, Charles Rotimi, Michele Ramsay, Adebowale Adeyemo, June Fabian, Amelia C. Crampin, Jean-Tristan Brandenburg, Segun Fatumo
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Portfolio 2026-02-01
סדרה:Nature Communications
גישה מקוונת:https://doi.org/10.1038/s41467-026-69367-3
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!