Influence of MLH1 gene on anti-neoplastic effects of Resistant Starch

NIAID Data Ecosystem2026-03-06 收录

结直肠癌预防

基因-基因相互作用

数据链接：

https://www.omicsdi.org/dataset/ecrin-mdr-crc/2426248 数据链接链接失效反馈

官方服务：

资源简介：

See http://cancerhelp.cancerresearchuk.org/trials/preventing-bowel-and-rectal-cancer-with-aspirin-and-starch

创建时间：

2005-07-15

File S1 - Hypothesis-Based Analysis of Gene-Gene Interactions and Risk of Myocardial Infarction

基因-基因相互作用

心肌梗死

Supporting Information. An extended description of the methods and results, plus supplementary tables, figures, notes, appendices and references. (PDF)

NIAID Data Ecosystem60

Knowledge-Driven Multi-Locus Analysis Reveals Gene-Gene Interactions Influencing HDL Cholesterol Level in Two Independent EMR-Linked Biobanks

基因-基因相互作用

HDL高密度脂蛋白

Genome-wide association studies (GWAS) are routinely being used to examine the genetic contribution to complex human traits, such as high-density lipoprotein cholesterol (HDL-C). Although HDL-C levels

Figshare2016-01-18 更新40

Gene-Based Testing of Interactions in Association Studies of Quantitative Traits

基因-基因相互作用

数量性状位点分析

Various methods have been developed for identifying gene–gene interactions in genome-wide association studies (GWAS). However, most methods focus on individual markers as the testing unit, and the lar

NIAID Data Ecosystem30

Norwegian Colorectal Cancer Prevention (NORCCAP) Survey 2000

结直肠癌预防

癌症筛查

Bakgrunn De fleste tilfeller av tykktarmskreft utvikler seg fra polypper. En studie som ble gjennomført i Telemark i 1983-1996 (Telemark Polyp Study no. I, TPS-I) viste at systematiske tarmkikkert-und

CESSDA2021-02-08 更新50

Case-only analysis of gene–gene interactions in inflammatory bowel disease

基因-基因相互作用

炎症性肠病遗传关联

Gene–gene interactions (G × G) potentially play a role in the etiology of complex human diseases, including inflammatory bowel disease (IBD), and may partially explain their ‘missing heritability’. U

NIAID Data Ecosystem40

Influence of MLH1 gene on anti-neoplastic effects of Resistant Starch

资源简介：

相关数据集