Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Association between ACYP2 polymorphisms and the risk of renal cell cancer

Tytuł:
Association between ACYP2 polymorphisms and the risk of renal cell cancer
Autorzy:
Yuhe Wang
Yongtong Zhang
Yao Sun
Jiamin Wu
Junke Chang
Zichao Xiong
Fanglin Niu
Shanzhi Gu
Tianbo Jin
Temat:
ACYP2
case‐control
Chinese Han
polymorphism
renal cell cancer
Genetics
QH426-470
Źródło:
Molecular Genetics & Genomic Medicine, Vol 7, Iss 11, Pp n/a-n/a (2019)
Wydawca:
Wiley, 2019.
Rok publikacji:
2019
Kolekcja:
LCC:Genetics
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
2324-9269
Relacje:
https://doaj.org/toc/2324-9269
DOI:
10.1002/mgg3.966
Dostęp URL:
https://doaj.org/article/e3bc0793a1e14730b82f15f925aab054  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.3bc0793a1e14730b82f15f925aab054
Czasopismo naukowe
Abstract Background Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population. Methods Twelve single‐nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi‐squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI). Results We observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03–1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06–1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log‐additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype “TTCTCGCC” (OR = 0.67, 95% CI: 0.48–0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk. Conclusion In summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results.
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies