BACKGROUND: Until recently, environmental factors were considered of greatest importance in the etiology of esophageal cancer. Recent studies, however, have suggested that genetic factors also have a role. PURPOSE: Since no formal genetic study of this cancer has been previously reported, we carried out a statistical analysis to determine how important genetic factors are in the etiology of esophageal cancer in high-incidence areas of North China. METHODS: Using a logistic regressive model, we performed a segregation analysis on 221 high-risk nuclear families from the Yaocun Commune, Linxian, Henan Province of China, with at least one affected family member and with all offspring aged 40 years or older. Three models, the mendelian, the environmental, and the no-transmission models, were each compared with the general-transmission model that incorporated both genetic and environmental factors. RESULTS: According to Akaike's Information Criterion, the mendelian model provided the best fit for the data. By the chi-square test, the mendelian inheritance model was not rejected, but the environmental and the no-transmission models were both rejected. CONCLUSION: The segregation analysis indicated an autosomal recessive mendelian inheritance, with the alleged mendelian gene present at a frequency of 19%, causing 4% of this population to be predisposed to develop esophageal cancer. Large, unmeasured, residual familial factors, however, were also significant. IMPLICATIONS: Both an autosomal recessive gene and unexplained environmental factors appear to be important in the etiology of esophageal cancer in the subpopulation studied.
BACKGROUND: Until recently, environmental factors were considered of greatest importance in the etiology of esophageal cancer. Recent studies, however, have suggested that genetic factors also have a role. PURPOSE: Since no formal genetic study of this cancer has been previously reported, we carried out a statistical analysis to determine how important genetic factors are in the etiology of esophageal cancer in high-incidence areas of North China. METHODS: Using a logistic regressive model, we performed a segregation analysis on 221 high-risk nuclear families from the Yaocun Commune, Linxian, Henan Province of China, with at least one affected family member and with all offspring aged 40 years or older. Three models, the mendelian, the environmental, and the no-transmission models, were each compared with the general-transmission model that incorporated both genetic and environmental factors. RESULTS: According to Akaike's Information Criterion, the mendelian model provided the best fit for the data. By the chi-square test, the mendelian inheritance model was not rejected, but the environmental and the no-transmission models were both rejected. CONCLUSION: The segregation analysis indicated an autosomal recessive mendelian inheritance, with the alleged mendelian gene present at a frequency of 19%, causing 4% of this population to be predisposed to develop esophageal cancer. Large, unmeasured, residual familial factors, however, were also significant. IMPLICATIONS: Both an autosomal recessive gene and unexplained environmental factors appear to be important in the etiology of esophageal cancer in the subpopulation studied.
Authors: Zhang Guohong; Su Min; Wang Duenmei; Hu Songnian; Liu Min; Li Jinsong; Lin Hongbin; Zhang Feng; Tian Dongping; Yang Heling; Liu Zhicai; Lian Shiyong; Guo Quansheng; Li Xiaoyun; Gao Yuxia Journal: PLoS One Date: 2010-03-15 Impact factor: 3.240
Authors: Paula L Hyland; Neal D Freedman; Nan Hu; Ze-Zhong Tang; Lemin Wang; Chaoyu Wang; Ti Ding; Jin-Hu Fan; You-Lin Qiao; Asieh Golozar; William Wheeler; Kai Yu; Jeff Yuenger; Laurie Burdett; Stephen J Chanock; Sanford M Dawsey; Margaret A Tucker; Alisa M Goldstein; Christian C Abnet; Philip R Taylor Journal: Carcinogenesis Date: 2013-01-28 Impact factor: 4.944
Authors: Y Yu; P R Taylor; J Y Li; S M Dawsey; G Q Wang; W D Guo; W Wang; B Q Liu; W J Blot; Q Shen Journal: Cancer Causes Control Date: 1993-05 Impact factor: 2.506
Authors: David Ng; Nan Hu; Ying Hu; Chaoyu Wang; Carol Giffen; Ze-Zhong Tang; Xiao-You Han; Howard H Yang; Maxwell P Lee; Alisa M Goldstein; Philip R Taylor Journal: Int J Cancer Date: 2008-10-01 Impact factor: 7.396
Authors: Ying Gao; Nan Hu; XiaoYou Han; Carol Giffen; Ti Ding; Alisa Goldstein; Philip Taylor Journal: BMC Cancer Date: 2009-08-05 Impact factor: 4.430
Authors: Paula L Hyland; Han Zhang; Qi Yang; Howard H Yang; Nan Hu; Shih-Wen Lin; Hua Su; Lemin Wang; Chaoyu Wang; Ti Ding; Jin-Hu Fan; You-Lin Qiao; Hyuna Sung; William Wheeler; Carol Giffen; Laurie Burdett; Zhaoming Wang; Maxwell P Lee; Stephen J Chanock; Sanford M Dawsey; Neal D Freedman; Christian C Abnet; Alisa M Goldstein; Kai Yu; Philip R Taylor Journal: Int J Epidemiol Date: 2015-12-03 Impact factor: 9.685