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    <title>Gaborieau, V.</title>
    <link>http://repub.eur.nl/res/aut/50616/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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      <title>Associations of breast cancer risk factors with tumor subtypes: A pooled analysis from the breast cancer association consortium studies (Article)</title>
      <link>http://repub.eur.nl/res/pub/33532/</link>
      <pubDate>2011-02-02T00:00:00Z</pubDate>
      <description>Background Previous studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors. Methods We pooled tumor marker and epidemiological risk factor data from 35568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided. Results In case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR-than PR+tumors (P =. 001). Nulliparity (P = 3 × 10-6) and increasing age at first birth (P = 2 × 10-9) were less frequent in ER-than in ER+tumors. Obesity (body mass index [BMI] ≥ 30 kg/m2) in younger women (≤50 years) was more frequent in ER-/PR-than in ER+/PR+tumors (P = 1 × 10-7), whereas obesity in older women (&gt;50 years) was less frequent in PR-than in PR+tumors (P = 6 × 10-4). The triple-negative (ER-/PR-/HER2-) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6+and/or epidermal growth factor receptor [EGFR]+) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER+or PR+tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P =. 61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P =. 34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P =. 09) or CBP tumors. Conclusion sThis study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology. </description>
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      <title>Genome-wide association study identifies novel breast cancer susceptibility loci (Article)</title>
      <link>http://repub.eur.nl/res/pub/35363/</link>
      <pubDate>2007-06-28T00:00:00Z</pubDate>
      <description>Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2&gt; 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P &lt; 10-7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P &lt; 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach. </description>
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