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Lilyquist, Jenna

https://orcid.org/0000-0002-9982-7408

Mayo Clinic

Mayo Clinic

Citations 30

Abstract PO-197: Combined effect of a prostate cancer polygenic risk score and germline pathogenic variants in DNA damage repair genes on prostate cancer risk in men of African ancestry
Matejcic, Marco , Patel, Yesha , Lilyquist, Jenna , Xia, Lucy , Sheng, Xin , Lubmawa, Alexander, Watya, Stephen , Conti, David V. , Haiman, Christopher A. , Conti, David V , Hughley, Raymond W. , Darst, Burcu F. , Hart, Steven N. , Polley, Eric C. , Ingles, Sue A. , Wilkens, Lynne R. , Marchand, Loı̈c Le , Couch, Fergus J.

Cancer Epidemiology, Biomarkers & Prevention | January 11, 2022 | Volume: 31 | Issue: 1_Supplement | Pages: PO-197-PO-197

10.1158/1538-7755.disp21-po-197 Get It

Abstract Introduction: Prostate Cancer (PCa) risk is influenced by both rare germline pathogenic variants (GPVs) in DNA damage repair genes and common variants as measured by polygenic risk scores (PRS) however, the combined effect of GPVs and PRS on PCa risk in men of African ancestry has not been investigated. Methods: We examined the combined effect of rare GPVs and PRS on PCa risk in 1,795 PCa cases and 1,424 controls of African ancestry men from the Multiethnic Cohort, the Los Angeles Study of Aggressive Prostate Cancer, and the Uganda Prostate Cancer Study. GPVs in 19 DNA genes were defined as clinically validated missense variants and variants that alter the protein sequence. The PRS was constructed as a weighted sum of 267 established PCa risk variants. The combined effect of the PRS and GPV status on PCa risk was evaluated using logistic regression models adjusting for age, study, and the first 10 principal components of ancestry to account for population stratification. Results: We identified 91 GPVs carried by 31 controls and 68 cases. Among GPV non-carriers, compared to those with average PRS (33.3-66.7%), odds ratios for PCa ranged from 0.56 (95% CI=0.45-0.70; P=1.2E-7) in low PRS men (0-33.3%) to 3.04 (95% CI=2.54-3.63; P=5.6E-35) in high PRS men (66.7-100%). Among GPV carriers, odds ratios for PCa ranged from 2.09 (95% CI=0.85-5.12; P=0.11) in low PRS men to 5.03 (95% CI=2.37-10.66; P=2.5E-5) in high PRS men, compared to GPV non-carriers with average PRS. Next, we restricted GPVs to ATM, BRCA2, PALB2, and NBN[BD2] (n=51 variants carried by 8 controls and 44 cases), which we previously reported as being the genes most strongly associated with advanced PCa in this population and study sample. Among GPV non-carriers, odds ratios for PCa ranged from 0.56 (95% CI=0.46-0.71; P=2.7E-7) in low PRS men to 5.03 (95% CI=0.85-5.12; P=0.11) in high PRS men, while among GPV carriers, odd ratios for PCa ranged from 2.08 (95% CI=0.58-7.49; P=0.26) in low PRS men to 18.06 (95% CI=4.24-76.84; P=9.0E-5) in high PRS men, compared to average PRS GPV non-carriers. When comparing aggressive cases to controls, considering the top four genes, GPV non-carrier odds ratios for PCa ranged from 0.52 (95% CI=0.40-0.70; P=6.2E-6) in low PRS men to 3.16 (95% CI=2.56-3.91; P=1.6E-26) in high PRS men, while among GPV carriers, odd ratios for PCa ranged from 2.97 (95% CI=073-12.16; P=0.13) in low PRS men to 23.58 (95% CI=5.39-103.20; P=2.7E-5) in high PRS men, compared to average PRS GPV non-carriers. Conclusion: We found that PCa risk in African ancestry men carrying GPVs in DNA damage repair and cancer predisposition genes, particularly ATM, BRCA2, PALB2, and NBN, varied depending on an individual's PRS. This implies that to comprehensively assess genetic risk of PCa, it is important to consider both rare and common variants. These findings could have implications for risk stratification in this high-risk population and emphasize the need for larger genetic studies of PCa in African ancestry men to identify and characterize genetic risk factors in this population. Citation Format: Raymond W. Hughley, Burcu F. Darst, Marco Matejcic, Yesha Patel, Jenna Lilyquist, Steven N. Hart, Eric C. Polley, Lucy Xia, Xin Sheng, Alexander Lubmawa, Sue A. Ingles, Lynne Wilkens, Loïc L. Marchand, Stephen Watya, Fergus J. Couch, David V. Conti, Christopher A. Haiman. Combined effect of a prostate cancer polygenic risk score and germline pathogenic variants in DNA damage repair genes on prostate cancer risk in men of African ancestry [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-197.
Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score
Gao, Chi , Polley, Eric C. , Hart, Steven N. , Huang, Hongyan , Lilyquist, Jenna , Boddicker, Nicholas , Na, Jie , Ambrosone, Christine B. , Auer, Paul L. , Gaudet, Mia M. , Haiman, Christopher A. , Jacobs, Eric J. , John, Esther M. , Lindström, Sara , Ma, Huiyan , Ong, Irene M. , Patel, Alpa V. , Taylor, Jack A. , Vachon, Celine M. , Weitzel, Jeffrey N. , Goldgar, David E. , Nathanson, Katherine L. , Chen, Chen , Hu, Chunling , Gnanaolivu, Rohan , Lilyquist, Jenna , Boddicker, Nicholas J , Na, Jie , Ambrosone, Christine B , Bernstein, Leslie , Burnside, Elizabeth S , Gaudet, Mia M , John, Esther M , Neuhausen, Susan L. , Newcomb, Polly A. , Ong, Irene M , Palmer, Julie R , Sandler, Dale P , Taylor, Jack A , Teras, Lauren R , Trentham-Dietz, Amy , Yao, Song , Weitzel, Jeffrey N , Goldgar, David E , Domchek, Susan M , Nathanson, Katherine L , Couch, Fergus J. , Kraft, Peter , Chen, C , Hart, Steven N , Polley, Eric C , Hu, Chunling , Bernstein, Leslie , Burnside, Elizabeth S. , Eliassen, A. Heather , Hunter, David J. , O’Brien, Katie M. , Olson, Janet E. , Palmer, Julie R. , Sandler, Dale P. , Tamimi, Rulla M. , Teras, Lauren R. , Trentham‐Dietz, Amy , Vachon, Celine M. , Weinberg, Clarice R. , Yao, Song , Domchek, Susan M. , Couch, Fergus J. , Kraft, Peter

Journal of Clinical Oncology | June 8, 2021 | Volume: 39 | Issue: 23 | Pages: 2564-2573

10.1200/jco.20.01992 Get It

PURPOSE This study assessed the joint association of pathogenic variants (PVs) in breast cancer (BC) predisposition genes and polygenic risk scores (PRS) with BC in the general population. METHODS A total of 26,798 non-Hispanic white BC cases and 26,127 controls from predominately population-based studies in the Cancer Risk Estimates Related to Susceptibility consortium were evaluated for PVs in BRCA1, BRCA2, ATM, CHEK2, PALB2, BARD1, BRIP1, CDH1, and NF1. PRS based on 105 common variants were created using effect estimates from BC genome-wide association studies; the performance of an overall BC PRS and estrogen receptor–specific PRS were evaluated. The odds of BC based on the PVs and PRS were estimated using penalized logistic regression. The results were combined with age-specific incidence rates to estimate 5-year and lifetime absolute risks of BC across percentiles of PRS by PV status and first-degree family history of BC. RESULTS The estimated lifetime risks of BC among general-population noncarriers, based on 10th and 90th percentiles of PRS, were 9.1%-23.9% and 6.7%-18.2% for women with or without first-degree relatives with BC, respectively. Taking PRS into account, more than 95% of BRCA1, BRCA2, and PALB2 carriers had > 20% lifetime risks of BC, whereas, respectively, 52.5% and 69.7% of ATM and CHEK2 carriers without first-degree relatives with BC, and 78.8% and 89.9% of those with a first-degree relative with BC had > 20% risk. CONCLUSION PRS facilitates personalization of BC risk among carriers of PVs in predisposition genes. Incorporating PRS into BC risk estimation may help identify > 30% of CHEK2 and nearly half of ATM carriers below the 20% lifetime risk threshold, suggesting the addition of PRS may prevent overscreening and enable more personalized risk management approaches.
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

Racial and Ethnic Differences in Multigene Hereditary Cancer Panel Test Results for Women With Breast Cancer
Yadav, Siddhartha , LaDuca, Holly , Niguidula, Nancy , Lilyquist, Jenna , Gutierrez, Stephanie, Yussuf, Amal , Davis, Brigette Tippin, Pesaran, Tina , Goldgar, David E. , Dolinsky, Jill S. , Chen, Chen , Polley, Eric C. , Shimelis, Hermela , Na, Jie , Hart, Steven N , Pesaran, Tina , Couch, Fergus J. , Chen, C , Yadav, Siddhartha , Hu, Chunling , Lee, Kun Y. , Hart, Steven N. , Chao, Elizabeth , Couch, Fergus J.

JNCI: Journal of the National Cancer Institute | October 21, 2020 | Volume: 113 | Issue: 10 | Pages: 1429-1433

10.1093/jnci/djaa167 Get It

Abstract To evaluate the racial and ethnic differences in prevalence of germline pathogenic variants (PVs) and the effect of race and ethnicity on breast cancer (BC) risk among carriers, results of multigene testing of 77 900 women with BC (non-Hispanic White [NHW] = 57 003; Ashkenazi-Jewish = 4798; Black = 6722; Hispanic = 5194; and Asian = 4183) were analyzed, and the frequency of PVs in each gene were compared between BC patients (cases) and race- and ethnicity-matched gnomAD reference controls. Compared with NHWs, BRCA1 PVs were enriched in Ashkenazi-Jews and Hispanics, whereas CHEK2 PVs were statistically significantly lower in Blacks, Hispanics, and Asians (all 2-sided P < .05). In case-control studies, BARD1 PVs were associated with high risks (odds ratio > 4.00) of BC in Blacks, Hispanics, and Asians; ATM PVs were associated with increased risk of BC among all races and ethnicities except Asians, whereas CHEK2 and BRIP1 PVs were associated with increased risk of BC among NHWs and Hispanics only. These findings suggest a need for personalized management of BC risk in PV carriers based on race and ethnicity.
Mutation Rates in Cancer Susceptibility Genes in Patients With Breast Cancer With Multiple Primary Cancers
Wenz, Brandon M., Kulkarni, Abha , Wubbenhorst, Bradley , D’Andrea, Kurt , Weathers, Benita , Goodman, Noah, Lilyquist, Jenna , Slavin, Thomas P., Ravichandran, Vignesh , Hu, Chunling , Peterlongo, Paolo , Ford, James M. , Shah, Payal D. , Bradbury, Angela R. , Offit, Kenneth , Weitzel, Jeffrey N. , Nathanson, Katherine L. , Hart, Steven N. , Peterlongo, Paolo , Weitzel, Jeffrey N , Hu, Chunling , Nathanson, Katherine L , Ravichandran, Vignesh , Maxwell, Kara N. , Vijai, Joseph , Schrader, Kasmintan A. , Thomas, Tinu , Robson, Mark E. , Bonanni, Bernardo , Garber, Judy E. , Neuhausen, Susan L. , DeMichele, Angela , Couch, Fergus J. , Domchek, Susan M.

JCO Precision Oncology | August 19, 2020 | Volume: No volume available | Issue: 4 | Pages: 916-925

10.1200/po.19.00301 Get It

PURPOSE Women with breast cancer have a 4%-16% lifetime risk of a second primary cancer. Whether mutations in genes other than BRCA1/2 are enriched in patients with breast and another primary cancer over those with a single breast cancer (S-BC) is unknown. PATIENTS AND METHODS We identified pathogenic germline mutations in 17 cancer susceptibility genes in patients with BRCA1/2-negative breast cancer in 2 different cohorts: cohort 1, high-risk breast cancer program (multiple primary breast cancer [MP-BC], n = 551; S-BC, n = 449) and cohort 2, familial breast cancer research study (MP-BC, n = 340; S-BC, n = 1,464). Mutation rates in these 2 cohorts were compared with a control data set (Exome Aggregation Consortium [ExAC]). RESULTS Overall, pathogenic mutation rates for autosomal, dominantly inherited genes were higher in patients with MP-BC versus S-BC in both cohorts (8.5% v 4.9% [ P = .02] and 7.1% v 4.2% [ P = .03]). There were differences in individual gene mutation rates between cohorts. In both cohorts, younger age at first breast cancer was associated with higher mutation rates; the age of non–breast cancers was unrelated to mutation rate. TP53 and MSH6 mutations were significantly enriched in patients with MP-BC but not S-BC, whereas ATM and PALB2 mutations were significantly enriched in both groups compared with ExAC. CONCLUSION Mutation rates are at least 7% in all patients with BRCA1/2 mutation–negative MP-BC, regardless of age at diagnosis of breast cancer, with mutation rates up to 25% in patients with a first breast cancer diagnosed at age < 30 years. Our results suggest that all patients with breast cancer with a second primary cancer, regardless of age of onset, should undergo multigene panel testing.
The Contribution of Germline Predisposition Gene Mutations to Clinical Subtypes of Invasive Breast Cancer From a Clinical Genetic Testing Cohort
Hu, Chunling , Yadav, Siddhartha , Lilyquist, Jenna , Hart, Steven N. , Goldgar, David E. , Shah, Swati , Pesaran, Tina , Dolinsky, Jill S. , LaDuca, Holly , Polley, Eric C. , Shimelis, Hermela , Na, Jie , Yadav, Siddhartha , Hart, Steven N , Hu, Chunling , Couch, Fergus J.

JNCI: Journal of the National Cancer Institute | February 18, 2020 | Volume: 112 | Issue: 12 | Pages: 1231-1241

10.1093/jnci/djaa023 Get It

Abstract Background The germline cancer predisposition genes associated with increased risk of each clinical subtype of breast cancer, defined by estrogen receptor (ER), progesterone receptor (PR), and HER2, are not well defined. Methods A total of 54 555 invasive breast cancer patients with 56 480 breast tumors were subjected to clinical hereditary cancer multigene panel testing. Heterogeneity for predisposition genes across clinical breast cancer subtypes was assessed by comparing mutation frequencies by gene among tumor subtypes and by association studies between each tumor subtype and reference controls. Results Mutations in 15 cancer predisposition genes were detected in 8.6% of patients with ER+/HER2-; 8.9% with ER+/HER2+; 7.7% with ER-/HER2+; and 14.4% of ER-/PR-/HER2- tumors. BRCA1, BRCA2, BARD1, and PALB2 mutations were enriched in ER- and HER2- tumors; RAD51C and RAD51D mutations were enriched in ER- tumors only; TP53 mutations were enriched in HER2+ tumors, and ATM and CHEK2 mutations were enriched in both ER+ and/or HER2+ tumors. All genes were associated with moderate (odds ratio &gt; 2.00) or strong (odds ratio &gt; 5.00) risks of at least one subtype of breast cancer in case-control analyses. Mutations in ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53 had predicted lifetime absolute risks of at least 20.0% for breast cancer. Conclusions Germline mutations in hereditary cancer panel genes confer subtype-specific risks of breast cancer. Combined tumor subtype, age at breast cancer diagnosis, and family history of breast and/or ovarian cancer information provides refined categorical estimates of mutation prevalence for women considering genetic testing.
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.
Abstract 4169: Population-based breast cancer risk estimates associated with cancer predisposition gene mutations from 32,298 breast cancer patients and 31,869 matched unaffected controls from the CARRIERS study
Lilyquist, Jenna , Gao, Chi , Eckloff, Bruce W., Auer, Paul L. , Gaudet, Mia M. , Haiman, Christopher A. , Tentham-Dietz, Amy, Yao, Song, Goldgar, David E. , Nathanson, Katherine L. , Nathanson, Katherine L , Couch, Fergus J. , Hu, Chunling , Hart, Steven N. , Gnanaolivu, Rohan , Lee, Kun Y. , Anton‐Culver, Hoda , Bernstein, Leslie , Palmer, Julie R. , Domchek, Susan M. , Weitzel, Jeffrey N. , Kraft, Peter , Polley, Eric C.

Cancer Research | August 7, 2019 | Volume: 79 | Issue: 13_Supplement | Pages: 4169-4169

10.1158/1538-7445.am2019-4169 Get It

Abstract Clinical germline genetic testing of cancer predisposition gene panels is used to identify women at increased risk for breast cancer. Pathogenic mutations in cancer predisposition genes are associated with established risks of breast cancer and are actively used for risk management of breast cancer for women qualifying for genetic testing because of a family history of breast and/or ovarian cancer or young age of diagnosis. However, the risks of breast cancer associated with mutations in these genes have likely been overestimated for many women in the general population. The goal of the “CAnceR RIsk Estimates Related to Susceptibility” (CARRIERS) study was to estimate breast cancer risks associated with mutations in hereditary cancer panel genes. Germline DNA from 32,298 breast cancer patients and 31,869 matched unaffected controls enrolled in cohorts and population-based case-control studies were sequenced to identify pathogenic mutations in 37 cancer predisposition genes.The average age at diagnosis was 61.2 years and the average age of last follow-up was 62.1 years. DNA was subjected to dual bar-coded QIAseq multiplex PCR-based amplification of 1733 target regions in 37 predisposition genes. Products from 768 samples were pooled and sequenced in a single lane of a HiSeq 4000 system. Mutations were called by GATK Haplotype Caller and Vardict.High quality sequence data was obtained for 99.3% of target regions. Pathogenic mutations in 12 known breast cancer predisposition genes were identified in 6.2% of all breast cancer cases and 2.1% of controls; and in 6.7% of African American breast cancer cases and 1.8% of controls. In case-control association analyses adjusted for age at diagnosis or last follow up and family history of breast and ovarian cancer, mutations in BRCA1, BRCA2, and PALB2 were associated with high risks of breast cancer (odds ratio (OR)&gt;4.0). Mutations in CHEK2 and BARD1 were associated with moderate risks of breast cancer (OR&gt;2.0), whereas mutations in ATM had lower clinical relevance (OR=1.6). Stratification by ER, PR, and HER2 status of tumors found that BRCA1, BRCA2, PALB2 and TP53 were associated with high risks of studies of triple negative breast cancer (TNBC), and that BARD1, BRIP1, FANCM, and RAD51C were associated with moderate risks of TNBC. 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 high-risk families. The age-related estimates of breast cancer risk for each of the hereditary cancer panel genes in this study may inform on the use of 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, Jenna Lilyquist, Kun Y. Lee, Chi Gao, Bruce Eckloff, Hoda Anton-Culver, Paul Auer, Leslie Bernstein, Mia Gaudet, Christopher Haiman, Julie Palmer, Amy Tentham-Dietz, Song Yao, Susan Domchek, Jeffrey N. Weitzel, David E. Goldgar, Katherine L. Nathanson, Peter Kraft, Eric C. Polley. Population-based breast cancer risk estimates associated with cancer predisposition gene mutations from 32,298 breast cancer patients and 31,869 matched unaffected controls 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 4169.
Racial and ethnic differences in the results of multigene panel testing of inherited cancer predisposition genes in breast cancer patients.
Yadav, Siddhartha , LaDuca, Holly , Niguidula, Nancy , Lilyquist, Jenna , Gutierrez, Stephanie, Yussuf, Amal , Davis, Brigette Tippin, Pesaran, Tina , Goldgar, David E. , Dolinsky, Jill S. , Yadav, Siddhartha , Polley, Eric C. , Shimelis, Hermela , Hu, Chunling , Na, Jie , Lee, Kun Hee , Hart, Steven N. , Chao, Elizabeth , Couch, Fergus J.

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: 1514-1514

10.1200/jco.2019.37.15_suppl.1514 Get It

1514 Background: The prevalence of germline mutations in non-white patients with breast cancer and the germline genetic drivers of breast cancer risk in non-white populations are largely unknown. Methods: The study population included 77,900 women with breast cancer (Non-Hispanic white: 57,003; Black: 6,722; Asian: 4,183; Hispanic: 5,194; Ashkenazi-Jewish: 4,798) who underwent germline multigene panel testing of cancer predisposition genes from March 2012 to December 2016. The prevalence of predisposition gene mutations in racial and ethnic populations relative to non-Hispanic Whites was assessed while accounting for age at diagnosis of breast cancer, family history of breast and ovarian cancer, and estrogen receptor status of breast tumors. Associations between mutations in each gene and breast cancer risk were evaluated using reference controls. Results: The overall frequency of pathogenic mutations in known breast cancer predisposition genes was 9.1% for non-Hispanic Whites, 9.8% for African Americans, 10.2% for Hispanics, 7.6% for Ashkenazi-Jewish, and 7.5% for Asians. BRCA1 mutations were enriched (p < 0.05) and CHEK2 mutations were under-represented in all racial and ethnic populations relative to non-Hispanic Whites. BRCA2 and BARD1 mutations were enriched in African Americans and Hispanics relative to non-Hispanic Whites, whereas PALB2 and RAD51C mutations were enriched in Hispanics. Among genes with mutation counts large enough for assessment, mutations in BARD1, BRCA1, BRCA2, PALB2 and TP53 were significantly associated with clinically relevant increased risks (odds ratio (OR) > 2) of breast cancer across all ethnicities and races. Rates of variants of uncertain significance were highest among Asians (29%), followed by blacks (27%), Hispanics (21%), non-Hispanic whites (16%) and Ashkenazi-Jews (14%). Conclusions: While there is some similarity across ethnic groups, substantial heterogeneity exists in the prevalence of mutations in breast cancer predisposition genes across major racial and ethnic groups in the US population. These findings contribute to our understanding of breast cancer risk and have significant implications for genetic testing, screening, and management of patients with an inherited predisposition to breast cancer, with a need for continued analysis with increased cohort size in ethnic minority groups.