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Samara, Raed

Mayo Clinic

Boston University

Citations 6

A Population-Based Study of Genes Previously Implicated in Breast Cancer
Hart, Steven N. , Huang, Hongyan , Gao, Chi , Lilyquist, Jenna , Yadav, Siddhartha , Samara, Raed, Klebba, Josh, Auer, Paul L. , Carter, Brian D., Eliassen, Heather, Gapstur, Susan M. , Gaudet, Mia M. , Haiman, Christopher A. , Hodge, James M. , Jacobs, Eric J. , John, Esther M. , Kurian, Allison W. , Lindströem, Sara, Lindstrom, Tricia, Ma, Huiyan , Ong, Irene M. , Patel, Alpa V. , Reid, Sonya , Taylor, Jack A. , Vachon, Celine M. , Weitzel, Jeffrey N. , Goldgar, David E. , Nathanson, Katherine L. , Chen, Chen , Hart, Steven N , Gnanaolivu, Rohan , Na, Jie , Boddicker, Nicholas J, Ambrosone, Christine B. , Bernstein, Leslie , Burnside, Elizabeth S. , Gaudet, Mia, Le Marchand, Loic, Neuhausen, Susan, O'Brien, Katie M, Rosenberg, Lynn, Tamimi, Rulla, Trentham-Dietz, Amy, Weinberg, Clarice, Polley, Eric C. , Couch, Fergus J. , Weitzel, Jeffrey N , John, Esther M , Yadav, Siddhartha , Ong, Irene M , Taylor, Jack A , Nathanson, Katherine L , Hodge, James M , Kurian, Allison W , Hu, Chunling , Lee, Kun Y. , Boddicker, Nicholas , Anton‐Culver, Hoda , Bandera, Elisa V. , Bertrand, Kimberly A. , Eliassen, A. Heather , Hunter, David J. , Kooperberg, Charles , Marchand, Loı̈c Le , Neuhausen, Susan L. , Newcomb, Polly A. , O’Brien, Katie M. , Olson, Janet E. , Pal, Tuya , Palmer, Julie R. , Rosenberg, Lynn A. , Sandler, Dale P. , Scott, Christopher, Tamimi, Rulla M. , Trentham‐Dietz, Amy , Vachon, Celine M. , Weinberg, Clarice R. , Yao, Song , Ziogas, Argyrios , Domchek, Susan M. , Kraft, Peter , Couch, Fergus J.

New England Journal of Medicine | January 20, 2021 | Volume: 384 | Issue: 5 | Pages: 440-451

10.1056/nejmoa2005936 Get It

Abstract PD3-02: Polygenic risk scores provide clinically meaningful risk stratification among women carrying moderate penetrance pathogenic variants in breast cancer predisposition genes: Results from the CARRIERS study
Gao, Chi , Samara, Raed, Auer, Paul, Gaudet, Mia M. , Haiman, Christopher, Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Polley, Eric C. , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Na, Jie , Boddicker, Nicholas , Bernstein, Leslie , Trentham‐Dietz, Amy , Yao, Song , Olson, Janet E. , Neuhausen, Susan L. , Weitzel, Jeffrey N. , Domchek, Susan M. , Couch, Fergus J. , Kraft, Peter

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD3-02-PD3-02

10.1158/1538-7445.sabcs19-pd3-02 Get It

Abstract Background: Pathogenic variants detected in multi-gene cancer predisposition panels are increasingly used to counsel women regarding their risk for breast cancer. However, the clinical implications of moderate penetrance genes (e.g. CHEK2, ATM) remain unclear. Breast MRI is indicated for women with a lifetime risk of breast cancer of >20%, and polygenic risk scores (PRS) based on common variants discovered in recent genome-wide association studies (GWAS) may identify women with pathogenic variants in CHEK2 and ATM who are above or below this level of risk. PRS may also stratify carriers with substantially elevated lifetime risks of breast cancer. Previous work found that PRS modified breast cancer risk in carriers of pathogenic variant in BRCA1 or BRCA2, but the joint effects of pathogenic variants and PRS have not been studied in samples drawn from the general population. There is also no published study evaluating the effect of PRS among women with pathogenic variants in genes other than BRCA1/2 and CHEK2. Here, we evaluated the joint effects of PRS and pathogenic variants in ten established breast cancer predisposition genes in a population-based case-control sample. Method: We analyzed 43,144 non-Hispanic European-ancestry individuals (20,988 controls and 22,120 cases) drawn from 7 cohorts and 2 population-based case-control studies in the CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) consortium. Targeted sequencing was performed using a dual bar-coded QIAseq panel of breast cancer predisposition genes. Variant calling was conducted with Haplotype Caller and Vardict. The PRS was calculated based on 106 common variants using effect estimates from the largest published breast cancer GWAS. Genetic status was evaluated for 10 breast cancer predisposition genes: ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, NF1, PALB2 and TP53. Lasso Penalized regression was performed to assess the combined effect on overall breast cancer of pathogenic variants and common variants (including main and interaction effects between age, family history, carrier status and PRS). The fraction of women at >2-fold increased risk (which is associated with approximately 20% lifetime risk of breast cancer) was calculated for pathogenic variant carriers and non-carriers of different family history and age groups (<40, 40-50, 50-60, 60-70, >70yrs old). Results: Among non-carriers, one standard deviation change in the PRS was associated with a 1.63x change in odds of breast cancer. The best-fitting risk model did not include any PRS-by-carrier interaction terms, implying the relative risk gradient associated with PRS among women with pathogenic variants is similar to that among non-carriers. For carriers of pathogenic variants in moderate penetrance genes with no family history of breast cancer, the PRS can identify 60.6% of ATM pathogenic variant carriers and 30% of CHEK2 pathogenic variant carriers that have less than 2-fold risk of breast cancer; when carriers have a family history of breast cancer, the PRS can identify 30% of ATM pathogenic variant carriers and 11.8% of CHEK2 pathogenic variant carriers with less than 2-fold risk of breast cancer. Conclusion: In our large, population-based case-control study, the effect of the PRS among pathogenic variant carriers was not significantly different than among non-carriers. However, the PRS may be particularly important for estimating breast cancer risk among carriers of pathogenic variants in moderate penetrance genes such as CHEK2 and ATM, enabling a more precise approach for MRI screening strategy and breast cancer risk management. Citation Format: Chi Gao, Eric C. Polley, Chunling Hu, Steven N. Hart, Rohan Gnanaolivu, Kun Y. Lee, Jie Na, Nicholas J. Boddicker, Raed Samara, Paul Auer, Leslie Bernstein, Mia Gaudet, Amy Trentham-Dietz, Song Yao, Christopher Haiman, Janet E. Olson, Susan Neuhausen, Jeffrey N. Weitzel, David E. Goldgar, Susan Domchek, Katherine L. Nathanson, Fergus J. Couch, Peter Kraft, on behalf of the CARRIERS consortium. Polygenic risk scores provide clinically meaningful risk stratification among women carrying moderate penetrance pathogenic variants in breast cancer predisposition genes: Results from the CARRIERS study [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD3-02.
Abstract PD3-01: Population-based breast cancer risk estimates for predisposition gene mutations: Results from the CARRIERS study
Gao, Chi , Eckloff, Bruce W., Samara, Raed, Klebba, Josh, Auer, Paul L. , Gaudet, Mia M. , Haiman, Christopher A. , Vachon, Celine M. , Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Couch, Fergus J. , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Na, Jie , Boddicker, Nicholas , Ambrosone, Christine B. , Anton‐Culver, Hoda , Bernstein, Leslie , John, Esther M. , Neuhausen, Susan L. , Olson, Janet E. , Pal, Tuya , Palmer, Julie R. , Sandler, Dale P. , Taylor, Jack A. , Trentham‐Dietz, Amy , Vachon, Celine M. , Weinberg, Clarice R. , Yao, Song , Weitzel, Jeffrey N. , Domchek, Susan M. , Kraft, Peter , Polley, Eric C.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: PD3-01-PD3-01

10.1158/1538-7445.sabcs19-pd3-01 Get It

Abstract Germline mutations in several cancer predisposition genes included in hereditary multigene testing panels have been associated with increased breast cancer risk. However, estimates of breast cancer risks for each gene have in large part been derived from studies of high-risk populations enriched for family history of breast and ovarian cancer, young age of breast cancer diagnosis, or founder mutations. The breast cancer risks associated with mutations in many of these genes in the general population remain to be clearly defined. As clinical hereditary cancer genetic testing is already provided to many women at increased risk and may soon be offered to all breast cancer patients, population-based risk estimates associated with predisposition gene mutations will be needed for appropriate clinical management of mutation carriers. The “CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) consortium of 17 cohort-based case-control, population-based case-control, and family studies focused on estimation of population-based breast cancer risks and penetrance analysis for mutations in known and candidate breast cancer predisposition genes. Germline DNA from 39486 breast cancer cases and 35868 matched controls was subjected to dual bar-coded QIAseq multiplex amplification of 1733 target regions in 37 predisposition genes. Products from sets of 768 samples were pooled and sequenced in each lane of a HiSeq 4000 system. Mutations were called by GATK Haplotype Caller and Verdict. High quality sequence data was obtained for 99.3% of target regions. Here we report on results from 34741 population-based breast cancer cases and 32728 matched unaffected controls. The mean age of breast cancer diagnosis for cases was 61.2 years and mean age for controls was 61.1 years. Overall, 20.9% of cases and 14.3% of controls had a family history of breast cancer. Furthermore, 74.3% of cases and 75.8% of controls were non-Hispanic white, whereas 13.3% of cases and 15.3% of controls were African American. Among cases with tumor information available, 81.7% were ER-positive and 7.7% were triple negative breast cancers (TNBC). We assessed mutation frequencies in 24 genes including 12 established breast cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RAD51C, RAD51D, andTP53). The overall mutation frequency was 6.2% in cases and 2.7% in controls. Case-control association analysis after adjusting for study, age, family history of breast cancer, and race/ethnicity showed that BRCA1(OR=7.45; 95%CI:5.24-10.95) and BRCA2(OR=5.31; 95%CI:4.15-6.88) were associated with high risks of breast cancer in the general population. However, PALB2mutations were only associated with moderate risks (OR=3.63; 95%CI:2.57-5.26). ATMmutations conferred attenuated risks (OR=1.83; 95%CI:1.47-2.28) relative to studies of high-risk families or young onset breast cancers. NBNmutations were not associated with increased breast cancer risk. Mutations in BARD1, RAD51C, RAD51Dand XRCC2were specifically significantly associated with moderate risks of ER-negative breast cancer and TNBC, whereas mutations in ATM, CDH1and CHEK2were specifically significantly associated with ER-positive disease. On the basis of these findings age-related absolute breast cancer risks for commonly mutated genes were estimated. Overall, results from the CARRIERS study establish that mutations in predisposition genes are associated with lower risks of breast cancer in the general population than in enriched populations including high-risk families and young onset, bilateral, or multiple primary cases. We anticipate that the results from this study will inform cancer screening and other risk management strategies for women in the general population with mutations in predisposition genes. Citation Format: Fergus J Couch, Chunling Hu, Steven N Hart, Rohan Gnanaolivu, Kun Y Lee, Jie Na, Chi Gao, Nicholas J Boddicker, Bruce Eckloff, Raed Samara, Josh Klebba, Christine B Ambrosone, Hoda Anton-Culver, Paul Auer, Leslie Bernstein, Mia M Gaudet, Christopher Haiman, Esther M John, Susan Neuhausen, Janet E Olson, Tuya Pal, Julie R Palmer, Dale P Sandler, Jack A Taylor, Amy Trentham-Dietz, Celine M Vachon, Clarice Weinberg, Song Yao, Jeffrey N Weitzel, David E Goldgar, Susan M Domchek, Katherine L Nathanson, Peter Kraft, Eric C Polley. Population-based breast cancer risk estimates for predisposition gene mutations: Results from the CARRIERS study [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD3-01.
Pathogenic Variants in Cancer Predisposition Genes and Prostate Cancer Risk in Men of African Ancestry
Matejcic, Marco , Patel, Yesha , Lilyquist, Jenna , Hu, Chunling , Yadav, Siddhartha , Samara, Raed, Xia, Lucy , Sheng, Xin , Lubmawa, Alexander, Kiddu, Vicky , Masaba, Benon, Namuguzi, Dan, Mutema, George , Job, Kuteesa , Dabanja, Henry, Watya, Stephen , Haiman, Christopher A. , Lee, Kun Y. , Gnanaolivu, Rohan D., Hart, Steven N. , Polley, Eric C. , Boddicker, Nicholas J, Yadav, Siddhartha , Hu, Chunling , Gnanaolivu, Rohan , Boddicker, Nicholas , Ingles, Sue A. , Wilkens, Lynne R. , Marchand, Loı̈c Le , Couch, Fergus J. , Conti, David V.

JCO Precision Oncology | January 31, 2020 | Volume: No volume available | Issue: 4 | Pages: 32-43

10.1200/po.19.00179 Get It

PURPOSE In studies of men of European ancestry, rare pathogenic variants in DNA repair pathway genes have been shown to be associated with risk of aggressive prostate cancer. The contribution of rare coding variation to prostate cancer risk in men of African ancestry has not been established. METHODS We sequenced a panel of 19 DNA repair and cancer predisposition genes in 2,453 African American and 1,151 Ugandan cases and controls with prostate cancer. Rare variants were classified as pathogenic or putatively functionally disruptive and examined in association with prostate cancer risk and disease aggressiveness in gene and pathway-level association analyses. RESULTS Pathogenic variants were found in 75 of 2,098 cases (3.6%) and 31 of 1,481 controls (2.1%; odds ratio [OR], 1.82; 95% CI, 1.19 to 2.79; P = .0044), with the association being stronger for more aggressive disease phenotypes (OR, 3.10; 95% CI, 1.54 to 6.23; P = .0022). The highest risks for aggressive disease were observed with pathogenic variants in the ATM, BRCA2, PALB2, and NBN genes, with ORs ranging from approximately 4 to 15 in the combined study sample of African American and Ugandan men. Rare, nonpathogenic, nonsynonymous variants did not have a major impact on risk of overall prostate cancer or disease aggressiveness. CONCLUSION Rare pathogenic variants in DNA repair genes have appreciable effects on risk of aggressive prostate cancer in men of African ancestry. These findings have potential implications for panel testing and risk stratification in this high-risk population.
Abstract 4177: The joint effects of polygenic risk scores and pathogenic variants in cancer predisposition genes on breast cancer risk in the general population: results from the CARRIERS study
Gao, Chi , Lilyquist, Jenna , Eckloff, Bruce W., Samara, Raed, Klebba, Josh, Auer, Paul, Gaudet, Mia M. , Haiman, Christopher, Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Boddicker, Nicholas , Bernstein, Leslie , Anton‐Culver, Hoda , Trentham‐Dietz, Amy , Palmer, Julie R. , Yao, Song , Olson, Janet E. , Domchek, Susan M. , Weitzel, Jeffrey N. , Polley, Eric C. , Couch, Fergus J. , Kraft, Peter

Cancer Research | August 7, 2019 | Volume: 79 | Issue: 13_Supplement | Pages: 4177-4177

10.1158/1538-7445.am2019-4177 Get It

Abstract Background: Understanding the joint effect on breast cancer risk of rare pathogenic variants in cancer predisposition genes and polygenic risk scores (PRS) from common variants can enable a precision approach to breast cancer management. Previous work found that PRS were associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers recruited from cancer genetics clinics (Kuchenbaecker et al. JNCI 2017). The joint effects of pathogenic variants and PRS have not been studied in samples drawn from the general population. There is also no existing study evaluating the effect of PRS in mutation carriers in genes other than BRCA1/2. Here we evaluate the joint effects of PRS and pathogenic mutations in established cancer predisposition genes in a population-based case-control sample. Method: We analyzed 53,199 European-ancestry individuals (20,730 controls and 21,272 cases) drawn from 7 cohorts and 2 population-based case-control studies in the CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) consortium. Targeted sequencing was performed using dual bar-coded QIAseq. Mutation calling was conducted with Haplotype Caller and Vardict. We sequenced 18 breast cancer predisposition genes: ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CDKN2A, CHECK2, FANCC, MLH1, MSH2, MSH6, NF1, PALB2, PTEN, RAD51C, RAD51D and TP53. The PRS was calculated based on 128 common variants using effect estimates from the largest published breast cancer GWAS. The PRS was standardized to a mean of 0 and standard deviation of 1. Logistic regression was performed to assess the combined effect of identified mutation and common variants (including main and interaction effects for carrier status and PRS). Results: A total of 1,770 pathogenic mutations were observed. About 1% of the study sample had mutations in either BRCA1 (n=209) or BRCA2 gene (n=305), and 2.2% had mutations in other genes (n=1,176). The effect of PRS in BRCA1 carriers was OR= 0.97 (95%CI: 0.62, 1.52); however, this is not statistically significantly different from the PRS in non-carriers [OR=1.23 (95%CI: 1.20, 1.25)] or previous estimates in carriers [OR: 1.14, 95%CI: 1.11-1.17]. The effect of PRS in BRCA2 carriers was OR=1.87 (95%CI: 1.31, 2.78) which was statistically significantly different from that of the non-carriers. Among the mutation carriers in genes other than BRCA, the effect of PRS on breast cancer was OR=1.00 (95%CI: 0.88,1.15). Conclusion: Consistent with previous studies, we did not find evidence that the effect of the PRS among BRCA1 carriers was statistically significantly different than non-carriers. We found some evidence that the PRS effect may be larger among BRCA2 carriers than non-carriers. Our results also suggest that PRS may not have a strong effect on breast cancer risk in mutation carriers of other predisposition genes; further work is needed for verification. Citation Format: Chi Gao, Chunling Hu, Steven N. Hart, Rohan Gnanaolivu, Kun Y. Lee, Jenna Lilyquist, Nicholas J. Boddicker, Bruce Eckloff, Raed Samara, Josh Klebba, Paul Auer, Leslie Bernstein, Mia Gaudet, Hoda Anton-Culver, Amy Trentham-Dietz, Julie R. Palmer, Song Yao, Christopher Haiman, Janet E. Olson, Susan Domchek, Jeffrey Weitzel, David Goldgar, Katherine L. Nathanson, Eric C. Polley, Fergus J. Couch, Peter Kraft. The joint effects of polygenic risk scores and pathogenic variants in cancer predisposition genes on breast cancer risk in the general population: results from the CARRIERS study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4177.