Additional file 1: of Common genetic variation and novel loci associated with volumetric mammographic density

Supplementary Tables and Figures. (DOCX 8763 kb

Additional file 1: of Association of infertility and fertility treatment with mammographic density in a large screening-based cohort of women: a cross-sectional study

Association between infertility, fertility treatment and mammographic density, adjusted by age in 1-year categories. (XLS 35 kb

Magnetic Resonance Imaging in Multiple Sclerosis – Patients' Experiences, Information Interests and Responses to an Education Programme

<div><p><i>Background</i></p><p>Magnetic resonance imaging (MRI) is a key diagnostic and monitoring tool in multiple sclerosis (MS) management. However, many scientific uncertainties, especially concerning correlates to impairment and prognosis remain. Little is known about MS patients' experiences, knowledge, attitudes, and unmet information needs concerning MRI.</p><p><i>Methods</i></p><p>We performed qualitative interviews (n = 5) and a survey (n = 104) with MS patients regarding MRI patient information, and basic MRI knowledge. Based on these findings an interactive training program of 2 hours was developed and piloted in n = 26 patients.</p><p><i>Results</i></p><p>Interview analyses showed that patients often feel lost in the MRI scanner and left alone with MRI results and images while 90% of patients in the survey expressed a high interest in MRI education. Knowledge on MRI issues was fair with some important knowledge gaps. Major information interests were relevance of lesions as well as the prognostic and diagnostic value of MRI results. The education program was highly appreciated and resulted in a substantial knowledge increase. Patients reported that, based on the program, they felt more competent to engage in encounters with their physicians.</p><p><i>Conclusion</i></p><p>This work strongly supports the further development of an evidence-based MRI education program for MS patients to enhance participation in health-care.</p></div

Demographic data of survey on MRI experiences.

<p>Values are numbers (%) if not indicated differently.</p><p>* 12 or more years of school,</p><p>** Range 0–10 with higher values indicating good knowledge.</p><p>*** Objective MRI knowledge (range 0–17 with higher values indicating good knowledge).</p><p>Demographic data of survey on MRI experiences.</p

Personal goals concerning MRI education (n = 99) (multiple answers possible).

<p>Personal goals concerning MRI education (n = 99) (multiple answers possible).</p

Interview and focus group findings.

<p>Interview and focus group findings.</p

Theorizing Ontology

University of California Santa Cruz (UCSC) Genome browser view (chr6:22308200–22348900) showing the position of single nucleotide polymorphisms (SNPs) rs9356811, rs10946546, rs9358531, rs9393273, rs12525289, rs12199382 and rs12524161. (DOC 261 kb

Additional file 10: Figure S2. of A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density

University of California Santa Cruz (UCSC) Genome browser view (chr6:22308200–22348900) showing the position of single nucleotide polymorphisms (SNPs) rs9356811, rs10946546, rs9358531, rs9393273, rs12525289, rs12199382 and rs12524161. (DOC 261 kb

Sensitivity analyses using pooled data for associations between genetically predicted BMI and breast cancer risk in the BCAC.

<p>(A) Adjusted for age, study sites, and the first eight principal components. (b) Adjusted for age, study sites, the first eight principal components, and additional breast cancer risk factors: age at menarche, parity, use of contraceptive, use of hormone replacement therapy, breast feeding, and smoking status. Weighted: the BMI-GS was constructed using the additive model weighted by external beta reported from previous literatures. Unweighted: the BMI-GS was constructed using the additive model without any weight.</p

Associations of the weighted BMI-GSs with BMI and traditional breast cancer risk factors.

<p>Associations of the weighted BMI-GSs with BMI and traditional breast cancer risk factors.</p