Das, A.P.; Chaudhary, N.; Tyagi, S.; Agarwal, S.M.
Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer Risk. Genes 2023, 14, 741.
https://doi.org/10.3390/genes14030741
AMA Style
Das AP, Chaudhary N, Tyagi S, Agarwal SM.
Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer Risk. Genes. 2023; 14(3):741.
https://doi.org/10.3390/genes14030741
Chicago/Turabian Style
Das, Agneesh Pratim, Nisha Chaudhary, Shrishty Tyagi, and Subhash M. Agarwal.
2023. "Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer Risk" Genes 14, no. 3: 741.
https://doi.org/10.3390/genes14030741
APA Style
Das, A. P., Chaudhary, N., Tyagi, S., & Agarwal, S. M.
(2023). Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer Risk. Genes, 14(3), 741.
https://doi.org/10.3390/genes14030741