Estimation of heritability for nine common cancers using data from genome‐wide association studies in Chinese population
The familial aggregation indicated the inheritance of cancer risk. Recent genome‐wide association studies (GWASs) have identified a number of common single‐nucleotide polymorphisms (SNPs). Following heritability analyses have shown that SNPs could explain a moderate amount of variance for different...
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creator | Dai, Juncheng Shen, Wei Wen, Wanqing Chang, Jiang Wang, Tongmin Chen, Haitao Jin, Guangfu Ma, Hongxia Wu, Chen Li, Lian Song, Fengju Zeng, YiXin Jiang, Yue Chen, Jiaping Wang, Cheng Zhu, Meng Zhou, Wen Du, Jiangbo Xiang, Yongbing Shu, Xiao‐Ou Hu, Zhibin Zhou, Weiping Chen, Kexin Xu, Jianfeng Jia, Weihua Lin, Dongxin Zheng, Wei Shen, Hongbing |
description | The familial aggregation indicated the inheritance of cancer risk. Recent genome‐wide association studies (GWASs) have identified a number of common single‐nucleotide polymorphisms (SNPs). Following heritability analyses have shown that SNPs could explain a moderate amount of variance for different cancer phenotypes among Caucasians. However, little information was available in Chinese population. We performed a genome‐wide complex trait analysis for common cancers at nine anatomical sites in Chinese population (14,629 cancer cases vs. 17,554 controls) and estimated the heritability of these cancers based on the common SNPs. We found that common SNPs explained certain amount of heritability with significance for all nine cancer sites: gastric cancer (20.26%), esophageal squamous cell carcinoma (19.86%), colorectal cancer (16.30%), lung cancer (LC) (15.17%), and epithelial ovarian cancer (13.31%), and a similar heritability around 10% for hepatitis B virus‐related hepatocellular carcinoma, prostate cancer, breast cancer and nasopharyngeal carcinoma. We found that nearly or less than 25% change was shown when removing the regions expanding 250 kb or 500 kb upward and downward of the GWAS‐reported SNPs. We also found strong linear correlations between variance partitioned by each chromosome and chromosomal length only for LC (R2 = 0.641, p = 0.001) and esophageal squamous cell cancer (R2 = 0.633, p = 0.002), which implied us the complex heterogeneity of cancers. These results indicate polygenic genetic architecture of the nine common cancers in Chinese population. Further efforts should be made to discover the hidden heritability of different cancer types among Chinese.
What's new?
Almost every cancer exhibits familial aggregation. Here, the authors conducted a genome‐wide complex trait analysis in Chinese participants in previous genome‐wide association studies to estimate heritability explained by single‐nucleotide polymorphisms for nine common cancers (gastric, esophageal, colorectal, lung, ovarian, hepatocellular, prostrate, breast, and nasopharyngeal). The explained heritability ranged from 10.19% to 20.26% indicating a polygenic architecture of all examined cancer types. The authors recommend performing even larger studies to better analyze the hidden heritability of each cancer type. |
doi_str_mv | 10.1002/ijc.30447 |
format | Article |
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What's new?
Almost every cancer exhibits familial aggregation. Here, the authors conducted a genome‐wide complex trait analysis in Chinese participants in previous genome‐wide association studies to estimate heritability explained by single‐nucleotide polymorphisms for nine common cancers (gastric, esophageal, colorectal, lung, ovarian, hepatocellular, prostrate, breast, and nasopharyngeal). The explained heritability ranged from 10.19% to 20.26% indicating a polygenic architecture of all examined cancer types. The authors recommend performing even larger studies to better analyze the hidden heritability of each cancer type.</description><identifier>ISSN: 0020-7136</identifier><identifier>EISSN: 1097-0215</identifier><identifier>DOI: 10.1002/ijc.30447</identifier><identifier>PMID: 27668986</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Asian Continental Ancestry Group - genetics ; Cancer ; Chinese population ; Chromosomes - genetics ; Female ; Genetic Predisposition to Disease - genetics ; Genome-Wide Association Study - methods ; genome‐wide complex trait analysis ; Genomics ; Hepatitis B virus ; heritability ; Humans ; Male ; Medical research ; Multifactorial Inheritance - genetics ; Neoplasms - etiology ; Neoplasms - genetics ; Phenotype ; Polymorphism, Single Nucleotide - genetics ; Population genetics ; single‐nucleotide polymorphisms</subject><ispartof>International journal of cancer, 2017-01, Vol.140 (2), p.329-336</ispartof><rights>2016 UICC</rights><rights>2016 UICC.</rights><rights>2017 UICC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4767-c9ae8ac2a48a62bcef3f96dc0c72b4f69b33a23cc098de53f7bbd430cc4c58393</citedby><cites>FETCH-LOGICAL-c4767-c9ae8ac2a48a62bcef3f96dc0c72b4f69b33a23cc098de53f7bbd430cc4c58393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fijc.30447$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fijc.30447$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,781,785,886,1418,27928,27929,45578,45579</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27668986$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dai, Juncheng</creatorcontrib><creatorcontrib>Shen, Wei</creatorcontrib><creatorcontrib>Wen, Wanqing</creatorcontrib><creatorcontrib>Chang, Jiang</creatorcontrib><creatorcontrib>Wang, Tongmin</creatorcontrib><creatorcontrib>Chen, Haitao</creatorcontrib><creatorcontrib>Jin, Guangfu</creatorcontrib><creatorcontrib>Ma, Hongxia</creatorcontrib><creatorcontrib>Wu, Chen</creatorcontrib><creatorcontrib>Li, Lian</creatorcontrib><creatorcontrib>Song, Fengju</creatorcontrib><creatorcontrib>Zeng, YiXin</creatorcontrib><creatorcontrib>Jiang, Yue</creatorcontrib><creatorcontrib>Chen, Jiaping</creatorcontrib><creatorcontrib>Wang, Cheng</creatorcontrib><creatorcontrib>Zhu, Meng</creatorcontrib><creatorcontrib>Zhou, Wen</creatorcontrib><creatorcontrib>Du, Jiangbo</creatorcontrib><creatorcontrib>Xiang, Yongbing</creatorcontrib><creatorcontrib>Shu, Xiao‐Ou</creatorcontrib><creatorcontrib>Hu, Zhibin</creatorcontrib><creatorcontrib>Zhou, Weiping</creatorcontrib><creatorcontrib>Chen, Kexin</creatorcontrib><creatorcontrib>Xu, Jianfeng</creatorcontrib><creatorcontrib>Jia, Weihua</creatorcontrib><creatorcontrib>Lin, Dongxin</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><creatorcontrib>Shen, Hongbing</creatorcontrib><title>Estimation of heritability for nine common cancers using data from genome‐wide association studies in Chinese population</title><title>International journal of cancer</title><addtitle>Int J Cancer</addtitle><description>The familial aggregation indicated the inheritance of cancer risk. Recent genome‐wide association studies (GWASs) have identified a number of common single‐nucleotide polymorphisms (SNPs). Following heritability analyses have shown that SNPs could explain a moderate amount of variance for different cancer phenotypes among Caucasians. However, little information was available in Chinese population. We performed a genome‐wide complex trait analysis for common cancers at nine anatomical sites in Chinese population (14,629 cancer cases vs. 17,554 controls) and estimated the heritability of these cancers based on the common SNPs. We found that common SNPs explained certain amount of heritability with significance for all nine cancer sites: gastric cancer (20.26%), esophageal squamous cell carcinoma (19.86%), colorectal cancer (16.30%), lung cancer (LC) (15.17%), and epithelial ovarian cancer (13.31%), and a similar heritability around 10% for hepatitis B virus‐related hepatocellular carcinoma, prostate cancer, breast cancer and nasopharyngeal carcinoma. We found that nearly or less than 25% change was shown when removing the regions expanding 250 kb or 500 kb upward and downward of the GWAS‐reported SNPs. We also found strong linear correlations between variance partitioned by each chromosome and chromosomal length only for LC (R2 = 0.641, p = 0.001) and esophageal squamous cell cancer (R2 = 0.633, p = 0.002), which implied us the complex heterogeneity of cancers. These results indicate polygenic genetic architecture of the nine common cancers in Chinese population. Further efforts should be made to discover the hidden heritability of different cancer types among Chinese.
What's new?
Almost every cancer exhibits familial aggregation. Here, the authors conducted a genome‐wide complex trait analysis in Chinese participants in previous genome‐wide association studies to estimate heritability explained by single‐nucleotide polymorphisms for nine common cancers (gastric, esophageal, colorectal, lung, ovarian, hepatocellular, prostrate, breast, and nasopharyngeal). The explained heritability ranged from 10.19% to 20.26% indicating a polygenic architecture of all examined cancer types. The authors recommend performing even larger studies to better analyze the hidden heritability of each cancer type.</description><subject>Asian Continental Ancestry Group - genetics</subject><subject>Cancer</subject><subject>Chinese population</subject><subject>Chromosomes - genetics</subject><subject>Female</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genome-Wide Association Study - methods</subject><subject>genome‐wide complex trait analysis</subject><subject>Genomics</subject><subject>Hepatitis B virus</subject><subject>heritability</subject><subject>Humans</subject><subject>Male</subject><subject>Medical research</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Neoplasms - etiology</subject><subject>Neoplasms - genetics</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Population genetics</subject><subject>single‐nucleotide polymorphisms</subject><issn>0020-7136</issn><issn>1097-0215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkc1u1DAURi0EokNhwQsgS2xgkdZ_seMNEhq1UFSJDawtx7mZ8SixBzuhGlY8As_YJ8FtSgVISKzu4js6uvd-CD2n5IQSwk79zp1wIoR6gFaUaFURRuuHaFUyUinK5RF6kvOOEEprIh6jI6akbHQjV-jbWZ78aCcfA4493kLyk2394KcD7mPCwQfALo5jyZ0NDlLGc_Zhgzs7WdynOOINhDjC9fcfV74DbHOOzi_GPM2dh4x9wOttMWXA-7ifh9v0KXrU2yHDs7t5jD6fn31av68uP767WL-9rJxQUlVOW2isY1Y0VrLWQc97LTtHnGKt6KVuObeMO0d000HNe9W2neDEOeHqhmt-jN4s3v3cjtA5CFOyg9mncnc6mGi9-TMJfms28aupay4Zb4rg1Z0gxS8z5MmMPjsYBhsgztnQpiZKUU34f6C85loJJgv68i90F-cUyicKJYSWmjY31OuFcinmnKC_35sSc1O-KeWb2_IL--L3Q-_JX20X4HQBrvwAh3-bzMWH9aL8CfWbvSI</recordid><startdate>20170115</startdate><enddate>20170115</enddate><creator>Dai, Juncheng</creator><creator>Shen, Wei</creator><creator>Wen, Wanqing</creator><creator>Chang, Jiang</creator><creator>Wang, Tongmin</creator><creator>Chen, Haitao</creator><creator>Jin, Guangfu</creator><creator>Ma, Hongxia</creator><creator>Wu, Chen</creator><creator>Li, Lian</creator><creator>Song, Fengju</creator><creator>Zeng, YiXin</creator><creator>Jiang, Yue</creator><creator>Chen, Jiaping</creator><creator>Wang, Cheng</creator><creator>Zhu, Meng</creator><creator>Zhou, Wen</creator><creator>Du, Jiangbo</creator><creator>Xiang, Yongbing</creator><creator>Shu, Xiao‐Ou</creator><creator>Hu, Zhibin</creator><creator>Zhou, Weiping</creator><creator>Chen, Kexin</creator><creator>Xu, Jianfeng</creator><creator>Jia, Weihua</creator><creator>Lin, Dongxin</creator><creator>Zheng, Wei</creator><creator>Shen, Hongbing</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170115</creationdate><title>Estimation of heritability for nine common cancers using data from genome‐wide association studies in Chinese population</title><author>Dai, Juncheng ; Shen, Wei ; Wen, Wanqing ; Chang, Jiang ; Wang, Tongmin ; Chen, Haitao ; Jin, Guangfu ; Ma, Hongxia ; Wu, Chen ; Li, Lian ; Song, Fengju ; Zeng, YiXin ; Jiang, Yue ; Chen, Jiaping ; Wang, Cheng ; Zhu, Meng ; Zhou, Wen ; Du, Jiangbo ; Xiang, Yongbing ; Shu, Xiao‐Ou ; Hu, Zhibin ; Zhou, Weiping ; Chen, Kexin ; Xu, Jianfeng ; Jia, Weihua ; Lin, Dongxin ; Zheng, Wei ; Shen, Hongbing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4767-c9ae8ac2a48a62bcef3f96dc0c72b4f69b33a23cc098de53f7bbd430cc4c58393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Asian Continental Ancestry Group - genetics</topic><topic>Cancer</topic><topic>Chinese population</topic><topic>Chromosomes - genetics</topic><topic>Female</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Genome-Wide Association Study - methods</topic><topic>genome‐wide complex trait analysis</topic><topic>Genomics</topic><topic>Hepatitis B virus</topic><topic>heritability</topic><topic>Humans</topic><topic>Male</topic><topic>Medical research</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Neoplasms - etiology</topic><topic>Neoplasms - genetics</topic><topic>Phenotype</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Population genetics</topic><topic>single‐nucleotide polymorphisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dai, Juncheng</creatorcontrib><creatorcontrib>Shen, Wei</creatorcontrib><creatorcontrib>Wen, Wanqing</creatorcontrib><creatorcontrib>Chang, Jiang</creatorcontrib><creatorcontrib>Wang, Tongmin</creatorcontrib><creatorcontrib>Chen, Haitao</creatorcontrib><creatorcontrib>Jin, Guangfu</creatorcontrib><creatorcontrib>Ma, Hongxia</creatorcontrib><creatorcontrib>Wu, Chen</creatorcontrib><creatorcontrib>Li, Lian</creatorcontrib><creatorcontrib>Song, Fengju</creatorcontrib><creatorcontrib>Zeng, YiXin</creatorcontrib><creatorcontrib>Jiang, Yue</creatorcontrib><creatorcontrib>Chen, Jiaping</creatorcontrib><creatorcontrib>Wang, Cheng</creatorcontrib><creatorcontrib>Zhu, Meng</creatorcontrib><creatorcontrib>Zhou, Wen</creatorcontrib><creatorcontrib>Du, Jiangbo</creatorcontrib><creatorcontrib>Xiang, Yongbing</creatorcontrib><creatorcontrib>Shu, Xiao‐Ou</creatorcontrib><creatorcontrib>Hu, Zhibin</creatorcontrib><creatorcontrib>Zhou, Weiping</creatorcontrib><creatorcontrib>Chen, Kexin</creatorcontrib><creatorcontrib>Xu, Jianfeng</creatorcontrib><creatorcontrib>Jia, Weihua</creatorcontrib><creatorcontrib>Lin, Dongxin</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><creatorcontrib>Shen, Hongbing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dai, Juncheng</au><au>Shen, Wei</au><au>Wen, Wanqing</au><au>Chang, Jiang</au><au>Wang, Tongmin</au><au>Chen, Haitao</au><au>Jin, Guangfu</au><au>Ma, Hongxia</au><au>Wu, Chen</au><au>Li, Lian</au><au>Song, Fengju</au><au>Zeng, YiXin</au><au>Jiang, Yue</au><au>Chen, Jiaping</au><au>Wang, Cheng</au><au>Zhu, Meng</au><au>Zhou, Wen</au><au>Du, Jiangbo</au><au>Xiang, Yongbing</au><au>Shu, Xiao‐Ou</au><au>Hu, Zhibin</au><au>Zhou, Weiping</au><au>Chen, Kexin</au><au>Xu, Jianfeng</au><au>Jia, Weihua</au><au>Lin, Dongxin</au><au>Zheng, Wei</au><au>Shen, Hongbing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of heritability for nine common cancers using data from genome‐wide association studies in Chinese population</atitle><jtitle>International journal of cancer</jtitle><addtitle>Int J Cancer</addtitle><date>2017-01-15</date><risdate>2017</risdate><volume>140</volume><issue>2</issue><spage>329</spage><epage>336</epage><pages>329-336</pages><issn>0020-7136</issn><eissn>1097-0215</eissn><abstract>The familial aggregation indicated the inheritance of cancer risk. Recent genome‐wide association studies (GWASs) have identified a number of common single‐nucleotide polymorphisms (SNPs). Following heritability analyses have shown that SNPs could explain a moderate amount of variance for different cancer phenotypes among Caucasians. However, little information was available in Chinese population. We performed a genome‐wide complex trait analysis for common cancers at nine anatomical sites in Chinese population (14,629 cancer cases vs. 17,554 controls) and estimated the heritability of these cancers based on the common SNPs. We found that common SNPs explained certain amount of heritability with significance for all nine cancer sites: gastric cancer (20.26%), esophageal squamous cell carcinoma (19.86%), colorectal cancer (16.30%), lung cancer (LC) (15.17%), and epithelial ovarian cancer (13.31%), and a similar heritability around 10% for hepatitis B virus‐related hepatocellular carcinoma, prostate cancer, breast cancer and nasopharyngeal carcinoma. We found that nearly or less than 25% change was shown when removing the regions expanding 250 kb or 500 kb upward and downward of the GWAS‐reported SNPs. We also found strong linear correlations between variance partitioned by each chromosome and chromosomal length only for LC (R2 = 0.641, p = 0.001) and esophageal squamous cell cancer (R2 = 0.633, p = 0.002), which implied us the complex heterogeneity of cancers. These results indicate polygenic genetic architecture of the nine common cancers in Chinese population. Further efforts should be made to discover the hidden heritability of different cancer types among Chinese.
What's new?
Almost every cancer exhibits familial aggregation. Here, the authors conducted a genome‐wide complex trait analysis in Chinese participants in previous genome‐wide association studies to estimate heritability explained by single‐nucleotide polymorphisms for nine common cancers (gastric, esophageal, colorectal, lung, ovarian, hepatocellular, prostrate, breast, and nasopharyngeal). The explained heritability ranged from 10.19% to 20.26% indicating a polygenic architecture of all examined cancer types. The authors recommend performing even larger studies to better analyze the hidden heritability of each cancer type.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>27668986</pmid><doi>10.1002/ijc.30447</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Asian Continental Ancestry Group - genetics Cancer Chinese population Chromosomes - genetics Female Genetic Predisposition to Disease - genetics Genome-Wide Association Study - methods genome‐wide complex trait analysis Genomics Hepatitis B virus heritability Humans Male Medical research Multifactorial Inheritance - genetics Neoplasms - etiology Neoplasms - genetics Phenotype Polymorphism, Single Nucleotide - genetics Population genetics single‐nucleotide polymorphisms |
title | Estimation of heritability for nine common cancers using data from genome‐wide association studies in Chinese population |
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