Open Access Highly Accessed Research article

Genetic variants associated with breast size also influence breast cancer risk

Nicholas Eriksson*, Geoffrey M Benton, Chuong B Do, Amy K Kiefer, Joanna L Mountain, David A Hinds, Uta Francke and Joyce Y Tung

Author Affiliations

23andMe, Inc., Mountain View, CA 94043, USA

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BMC Medical Genetics 2012, 13:53  doi:10.1186/1471-2350-13-53

Published: 30 June 2012

Additional files

Additional file 1:

Quantile-quantile plot of association with breast size. Observed p-values versus theoretical p-values under the null hypothesis of no association. The genomic control inflation factor for the study was 1.047 and is indicated by the red line; approximate 95% confidence intervals are given by the blue curves.

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Additional file 2:

All SNPs withp<10−4for breast size. Alleles are listed as major/minor. MAF is the frequency of the minor allele in Europeans, and <a onClick="popup('http://www.biomedcentral.com/1471-2350/13/53/mathml/M9','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2350/13/53/mathml/M9">View MathML</a> and <a onClick="popup('http://www.biomedcentral.com/1471-2350/13/53/mathml/M10','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2350/13/53/mathml/M10">View MathML</a> are the estimated imputation accuracies on the two genotyping platforms.

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Additional file 3:

Associations with breast size in three regions with suggestive SNPs. Colors depict the squared correlation (r2) of each SNP with the most associated SNP (which is shown in purple). Gray indicates SNPs for which r2 information was missing.

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