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101. Table S2 from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

102. Data from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

103. Figure 4 from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

104. Supplementary Methods 1 from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

105. Figure 2 from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

106. Figure 5 from ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

107. PB2515: A PILOT STUDY OF THE INTERNATIONAL HEMOGLOBINOPATHY RESEARCH NETWORK (INHERENT)

110. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women

112. Chromatin interactome mapping at 139 independent breast cancer risk signals

113. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women

115. Supplementary Tables 1-3 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

116. Supplementary Figure 1 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

117. Supplementary Information from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

118. Data from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

119. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

120. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

121. Supplementary Acknowledgments from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

122. Data from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

123. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

124. Supplementary Methods, Tables 1 - 6 from A Genome-wide Association Study of Early-Onset Breast Cancer Identifies PFKM as a Novel Breast Cancer Gene and Supports a Common Genetic Spectrum for Breast Cancer at Any Age

125. Supplementary Tables and References from BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

126. Supplementary Methods and Tables from The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

127. Supplementary Table 1 from Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk

129. Supplementary Table 4. Association of 47 waist-hip ratio (WHR) SNPs with endometrial cancer risk from Genetic Risk Score Mendelian Randomization Shows that Obesity Measured as Body Mass Index, but not Waist:Hip Ratio, Is Causal for Endometrial Cancer

130. Supplementary Table 3: Association of 77 body mass index (BMI) SNPs with endometrial cancer risk and BMI in the endometrial cancer dataset from Genetic Risk Score Mendelian Randomization Shows that Obesity Measured as Body Mass Index, but not Waist:Hip Ratio, Is Causal for Endometrial Cancer

131. Supplemental Table 1. Details of cases and controls included in the endometrial cancer analyses from Genetic Risk Score Mendelian Randomization Shows that Obesity Measured as Body Mass Index, but not Waist:Hip Ratio, Is Causal for Endometrial Cancer

132. Data from BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

133. Supplemental Table 2. Average BMIs in the ANECS, SEARCH and iCOGS endometrial cancer datasets. from Genetic Risk Score Mendelian Randomization Shows that Obesity Measured as Body Mass Index, but not Waist:Hip Ratio, Is Causal for Endometrial Cancer

134. Supplementary Text for: Genetic risk score Mendelian randomization shows that obesity measured as body mass index, but not waist:hip ratio, is causal for endometrial cancer from Genetic Risk Score Mendelian Randomization Shows that Obesity Measured as Body Mass Index, but not Waist:Hip Ratio, Is Causal for Endometrial Cancer

135. Data from A Genome-wide Association Study of Early-Onset Breast Cancer Identifies PFKM as a Novel Breast Cancer Gene and Supports a Common Genetic Spectrum for Breast Cancer at Any Age

136. Supplementary Figures from BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

137. Supplementary Table 3 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures

138. Supplementary Table 1 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures

139. Data from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures

140. Supplementary Table 2 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures

141. Data from Mammographic Breast Density and Breast Cancer: Evidence of a Shared Genetic Basis

142. Supplementary Figure 1 from Mammographic Breast Density and Breast Cancer: Evidence of a Shared Genetic Basis

144. A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants : Application to BRCA1 and BRCA2

145. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

146. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

147. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.

148. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2.

149. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

150. A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants:Application to BRCA1 and BRCA2

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