The effect of university–industry collaboration on the scientific impact of publications : the Canadian case, 1980–2005

Previous research on university-industry collaboration in Canada concluded, using mean impact factors as a proxy, that the scientific impact of such research is not inferior to that of university research. Using field-normalized impact factors and citation counts, this paper reexamines the Canadian case. It shows that, when impact factors are field-normalized, university-industry papers are published, on average, in journals with lower impact factors than papers originating from universities only. However, field-normalized citation values reveal the opposite: the average scientific impact of university-industry papers is significantly above that of both university-only papers and industry-only papers. Collaboration with industries is, thus far from detrimental to the scientific impact of university research and even increases it significantly

Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.

We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.352

Evaluation of BRCA1 and BRCA2 mutation prevalence, risk prediction models and a multistep testing approach in French‐Canadian families with high risk of breast and ovarian cancer

Background and objective: In clinical settings with fixed resources allocated to predictive genetic testing for high-risk cancer predisposition genes, optimal strategies for mutation screening programmes are critically important. These depend on the mutation spectrum found in the population under consideration and the frequency of mutations detected as a function of the personal and family history of cancer, which are both affected by the presence of founder mutations and demographic characteristics of the underlying population. The results of multistep genetic testing for mutations in BRCA1 or BRCA2 in a large series of families with breast cancer in the French-Canadian population of Quebec, Canada are reported. Methods: A total of 256 high-risk families were ascertained from regional familial cancer clinics throughout the province of Quebec. Initially, families were tested for a panel of specific mutations known to occur in this population. Families in which no mutation was identified were then comprehensively tested. Three algorithms to predict the presence of mutations were evaluated, including the prevalence tables provided by Myriad Genetics Laboratories, the Manchester Scoring System and a logistic regression approach based on the data from this study. Results: 8 of the 15 distinct mutations found in 62 BRCA1/BRCA2-positive families had never been previously reported in this population, whereas 82% carried 1 of the 4 mutations currently observed in > or =2 families. In the subset of 191 families in which at least 1 affected individual was tested, 29% carried a mutation. Of these 27 BRCA1-positive and 29 BRCA2-positive families, 48 (86%) were found to harbour a mutation detected by the initial test. Among the remaining 143 inconclusive families, all 8 families found to have a mutation after complete sequencing had Manchester Scores > or =18. The logistic regression and Manchester Scores provided equal predictive power, and both were significantly better than the Myriad Genetics Laboratories prevalence tables (p or =18 provided an overall sensitivity of 86% and a specificity of 82%, with a positive predictive value of 66% in this population. Conclusion: In this population, a testing strategy with an initial test using a panel of reported recurrent mutations, followed by full sequencing in families with Manchester Scores > or =18, represents an efficient test in terms of overall cost and sensitivity

Common variants of the <i>BRCA1</i> wild-type allele modify the risk of breast cancer in <i>BRCA1</i> mutation carriers

Mutations in the &lt;i&gt;BRCA1&lt;/i&gt; gene substantially increase a woman's lifetime risk of breast cancer. However, there is great variation in this increase in risk with several genetic and non-genetic modifiers identified. The &lt;i&gt;BRCA1&lt;/i&gt; protein plays a central role in DNA repair, a mechanism that is particularly instrumental in safeguarding cells against tumorigenesis. We hypothesized that polymorphisms that alter the expression and/or function of &lt;i&gt;BRCA1&lt;/i&gt; carried on the wild-type (non-mutated) copy of the &lt;i&gt;BRCA1&lt;/i&gt; gene would modify the risk of breast cancer in carriers of &lt;i&gt;BRCA1&lt;/i&gt; mutations. A total of 9874 &lt;i&gt;BRCA1&lt;/i&gt; mutation carriers were available in the Consortium of Investigators of Modifiers of &lt;i&gt;BRCA1/2&lt;/i&gt; (CIMBA) for haplotype analyses of &lt;i&gt;BRCA1&lt;/i&gt;. Women carrying the rare allele of single nucleotide polymorphism rs16942 on the wild-type copy of &lt;i&gt;BRCA1&lt;/i&gt; were at decreased risk of breast cancer (hazard ratio 0.86, 95% confidence interval 0.77–0.95, &lt;i&gt;P&lt;/i&gt; = 0.003). Promoter &lt;i&gt;in vitro&lt;/i&gt; assays of the major &lt;i&gt;BRCA1&lt;/i&gt; haplotypes showed that common polymorphisms in the regulatory region alter its activity and that this effect may be attributed to the differential binding affinity of nuclear proteins. In conclusion, variants on the wild-type copy of &lt;i&gt;BRCA1&lt;/i&gt; modify risk of breast cancer among carriers of &lt;i&gt;BRCA1&lt;/i&gt; mutations, possibly by altering the efficiency of &lt;i&gt;BRCA1&lt;/i&gt; transcription