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<p>Genome-wide association studies (GWAS) have characterized the contribution of common variants to breast cancer (BC) risk in populations of European ancestry, however GWAS have not been reported in resident African populations. This GWAS included 2485 resident African BC cases and 1101 population matched controls. Two risk loci were identified, located between <i>UNC13C</i> and <i>RAB27A</i> on chromosome 15 (rs7181788, <i>p</i> = 1.01 × 10<sup>−08</sup>) and in <i>USP22</i> on chromosome 17 (rs899342, <i>p</i> = 4.62 × 10<sup>−08</sup>). Several genome-wide significant signals were also detected in hormone receptor subtype analysis. The novel loci did not replicate in BC GWAS data from populations of West Africa ancestry suggesting genetic heterogeneity in different African populations, but further validation of these findings is needed. A European ancestry derived polygenic risk model for BC explained only 0.79% of variance in our data. Larger studies in pan-African populations are needed to further define the genetic contribution to BC risk.</p>

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Genome-wide association study identifies common variants associated with breast cancer in South African Black women

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月14日

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  • Mahtaab Hayat,
  • Wenlong C. Chen,
  • Chantal Babb de Villiers,
  • Sang Hyuck Lee,
  • Charles Curtis,
  • Rob Newton,
  • Tim Waterboer,
  • Freddy Sitas,
  • Debbie Bradshaw,
  • Mazvita Muchengeti,
  • Elvira Singh,
  • Cathryn M. Lewis,
  • Michele Ramsay,
  • Christopher G. Mathew,
  • Jean-Tristan Brandenburg

摘要

Genome-wide association studies (GWAS) have characterized the contribution of common variants to breast cancer (BC) risk in populations of European ancestry, however GWAS have not been reported in resident African populations. This GWAS included 2485 resident African BC cases and 1101 population matched controls. Two risk loci were identified, located between UNC13C and RAB27A on chromosome 15 (rs7181788, p = 1.01 × 10−08) and in USP22 on chromosome 17 (rs899342, p = 4.62 × 10−08). Several genome-wide significant signals were also detected in hormone receptor subtype analysis. The novel loci did not replicate in BC GWAS data from populations of West Africa ancestry suggesting genetic heterogeneity in different African populations, but further validation of these findings is needed. A European ancestry derived polygenic risk model for BC explained only 0.79% of variance in our data. Larger studies in pan-African populations are needed to further define the genetic contribution to BC risk.