Single-nucleotide polymorphism data support the general unrelatedness of the males in the agricultural health study.
Single-nucleotide polymorphism data support the general unrelatedness of the males in the agricultural health study.
复制标题
单核苷酸多态性数据支持农业健康研究中男性普遍不相关的观点。
DOI:
10.1158/1055-9965.epi-14-0276
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发表时间:
2014
期刊:
影响因子:
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通讯作者:
Hoppin,JaneA
中科院分区:
文献类型:
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作者:
Jack,JohnR;Motsinger-Reif,AlisonA;Koutros,Stella;Alavanja,MichaelC;BeaneFreeman,LauraE;Hoppin,JaneA
Background:Farming is often a family and multigenerational business. Relatedness among farmers could bias gene–environment interaction analysis. To evaluate the potential relatedness of farmers, we used data from a nested case–control study of prostate cancer conducted in the Agricultural Health Study (AHS), a prospective study of farmers in Iowa and North Carolina.Methods:We analyzed the genetic data for 25,009 SNPs (single-nucleotide polymorphisms) from 2,220 White participants to test for cryptic relatedness among these farmers. We used two software packages: (i) PLINK, to calculate inbreeding coefficients and identity-by-descent (IBD) statistics and (ii) EIGENSOFT, to perform a principal component analysis on the genetic data.Results:Inbreeding coefficients estimates and IBD statistics show that the subjects are overwhelmingly unrelated, with little potential for cryptic relatedness in these data.Conclusions:Our analysis rejects the hypothesis that individuals in the case–control study exhibit cryptic relatedness.Impact:These findings are important for all subsequent analyses of gene–environment interactions in the AHS.Cancer Epidemiol Biomarkers Prev; 23(10); 2192–5. ©2014 AACR.