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Breast Benign Neoplasm

Breast benign neoplasms, often referred to as benign breast lumps or lesions, are non-cancerous growths that develop in the breast tissue. Unlike malignant tumors (breast cancer), benign neoplasms do not invade surrounding tissues or spread to distant parts of the body (metastasize). They are a common finding, affecting a significant portion of women at some point in their lives. While generally not life-threatening, their presence can cause anxiety and often necessitates medical evaluation to differentiate them from cancerous growths.

The development of benign breast neoplasms typically involves abnormal cell proliferation within the breast’s ducts or lobules. This proliferation is often influenced by hormonal fluctuations, particularly estrogen, and can result in various types of lesions, such as fibroadenomas, cysts, or papillomas. While the specific genetic drivers for most benign neoplasms are not as well-characterized as for breast cancer, research into genetic factors contributing to overall breast health and disease susceptibility is ongoing. Studies, including genome-wide association studies (GWAS), have identified numerous common genetic susceptibility loci for breast cancer, indicating a significant genetic component to breast disease etiology[1]. These findings, while focused on malignancy, contribute to the broader understanding of genetic influences on breast cell growth and regulation, which may indirectly inform the biological basis of benign conditions.

The clinical relevance of benign breast neoplasms lies primarily in their differentiation from breast cancer and their potential impact on future cancer risk. Diagnosis typically involves clinical examination, imaging (mammography, ultrasound, MRI), and often biopsy. Accurate diagnosis is crucial to avoid unnecessary interventions for benign lesions while ensuring timely treatment for any malignant ones. Certain types of benign lesions, such as atypical hyperplasia, are recognized as increasing a woman’s risk for developing breast cancer later in life, making regular monitoring important. The identification of genetic variations influencing breast cancer risk[1] also highlights the importance of understanding individual genetic profiles in assessing overall breast health.

Benign breast neoplasms carry significant social importance due to their prevalence and the psychological distress they can cause. The discovery of a breast lump often leads to considerable anxiety and fear of cancer, impacting mental well-being and requiring emotional support. The diagnostic process, including imaging and biopsies, can be invasive and costly, contributing to a substantial healthcare burden. Public health initiatives focus on breast self-awareness and regular screening to detect abnormalities early, which includes both benign and malignant conditions. Understanding the genetic predispositions to breast changes, both benign and malignant, can empower individuals with personalized risk information and guide screening strategies.

Genetic studies of breast conditions, particularly those employing genome-wide association studies (GWAS), face inherent methodological and statistical constraints that can influence the robustness and interpretation of findings. Initial discoveries may exhibit inflated effect sizes, as evidenced by observed odds ratios being significantly higher in some studies compared to more population-based analyses [2]. This inflation can complicate the accurate estimation of risk and may reflect differences in study design, such as the inclusion of cohorts with strong family histories, which could magnify apparent genetic effects [2]. Furthermore, while extensive efforts have been made to identify genetic risk factors, only a fraction of proposed candidate genes have been consistently confirmed, highlighting challenges in replication and the potential for spurious associations in early or underpowered studies [1].

Population Diversity and Phenotypic Heterogeneity

Section titled “Population Diversity and Phenotypic Heterogeneity”

The generalizability of findings across diverse populations remains a significant limitation in understanding the genetic architecture of breast benign neoplasm. A substantial portion of genetic association studies have historically focused on populations of European ancestry, and many variants identified in these groups show weak or absent associations in other ethnic populations[1]. This underscores the importance of conducting studies in varied ancestral groups, such as East Asian and African populations, to ensure comprehensive identification of risk loci and to avoid biases in risk prediction models [1]. Additionally, breast conditions represent a spectrum of diseases, and broad phenotyping may obscure specific genetic associations; the consideration of sub-phenotypes, such as estrogen receptor status, suggests that more granular classification may be necessary to identify precise genetic underpinnings[3].

Remaining Knowledge Gaps and Etiological Complexity

Section titled “Remaining Knowledge Gaps and Etiological Complexity”

Despite significant advancements in identifying genetic susceptibility loci, a substantial portion of the heritability for breast conditions remains unexplained, indicating considerable knowledge gaps [1]. Current genetic factors, including both newly discovered common variants and known high-penetrance genes, account for less than 30% of the total heritability [1]. This “missing heritability” suggests that other genetic architectures, such as rare variants, gene-gene interactions, or complex gene-environment interactions, play a more substantial role than currently understood and are not fully captured by existing GWAS methodologies. Furthermore, while studies often adjust for basic demographic factors like age and study site, the complex interplay of environmental exposures and lifestyle factors with genetic predispositions is not always comprehensively addressed, potentially confounding observed associations and limiting a complete etiological understanding[1].

The genetic variants listed, including rs1461746208 in OSBPL8, rs188256118 near RPL6P5 and METAP2P1, rs549822836 associated with UCHL1 and Y_RNA, rs551001465 in SIPA1L1, rs189378943 near MORF4L2P1 and GSX2, rs374315911 in LINC01716, rs551004215 in LINC02046, rs561678179 in MRPL48, rs149282327 in LRRC7, and rs141078432 in LINC02021, represent diverse genetic elements, from protein-coding genes to non-coding RNAs and pseudogenes, all of which can influence biological pathways relevant to breast health. These variants may contribute to an individual’s susceptibility to breast benign neoplasm by modulating fundamental cellular processes. Genetic studies have identified numerous variants associated with breast cancer risk, highlighting the complex interplay of genetic factors[4].

Several variants impact genes involved in core cellular functions like metabolism and protein regulation. For instance, OSBPL8 (Oxysterol Binding Protein Like 8) plays a role in lipid metabolism and sterol transport, processes critical for cell membrane integrity and signaling. Dysregulation in these lipid pathways can affect cell growth and proliferation, which are foundational to neoplastic development [5]. Similarly, UCHL1 (Ubiquitin C-Terminal Hydrolase L1) is a key enzyme in the ubiquitin-proteasome system, responsible for protein degradation and recycling; its altered activity can influence cell cycle progression and apoptosis, both vital in preventing uncontrolled cell growth. MRPL48 (Mitochondrial Ribosomal Protein L48), essential for mitochondrial protein synthesis, is implicated in cellular metabolism, and mitochondrial dysfunction is a known feature in various proliferative disorders, including benign and malignant breast conditions [6].

Other variants are associated with genes and gene regions that affect signaling pathways and gene expression. SIPA1L1 (Signal Induced Proliferation Associated 1 Like 1) acts as a GTPase activating protein, regulating cell signaling cascades that control cell proliferation, migration, and adhesion, all of which are critical for maintaining normal tissue architecture and preventing benign growths. Pseudogenes like RPL6P5, METAP2P1, and MORF4L2P1 may not code for functional proteins, but they can exert regulatory effects on their protein-coding counterparts or other genes through mechanisms involving non-coding RNA, thereby indirectly influencing cellular processes [6]. Additionally, GSX2 (Gastrulation Specific Homeobox 2), often involved in developmental gene regulation, can contribute to abnormal cell growth if aberrantly expressed, a common theme in genetic predispositions to benign and malignant tumors [5].

Finally, non-coding RNA variants and those affecting structural proteins also play a role. Long intergenic non-coding RNAs (LncRNAs) such as those associated with LINC01716, LINC02046, and LINC02021, along with Y_RNA, are increasingly recognized for their regulatory functions in gene expression, chromatin remodeling, and stress responses. Their dysregulation can significantly impact cell proliferation and differentiation, contributing to the development of benign breast neoplasms [7]. LRRC7(Leucine Rich Repeat Containing 7) contains protein interaction domains crucial for cell adhesion and signaling, and disruptions in such proteins can compromise intercellular communication and tissue organization, potentially facilitating the uncontrolled cell growth seen in benign breast conditions[8].

Classification, Definition, and Terminology

Section titled “Classification, Definition, and Terminology”

Defining Breast Characteristics and Risk Factors

Section titled “Defining Breast Characteristics and Risk Factors”

The understanding of breast health involves precise definitions of various characteristics and risk factors that are distinct from malignant disease. Mammographic density, for instance, is a critical trait defined as the percentage of non-fat breast tissue, quantifiable through mammographic imaging. This specific measurement serves as a recognized risk factor for breast cancer. Similarly, breast size is another physical characteristic that has been shown to influence breast cancer risk, with studies indicating a higher risk among lean women with larger breast sizes[5]. Additionally, breast asymmetry, referring to differences in size or shape between the two breasts, is also considered a characteristic potentially associated with breast cancer risk[5]. These defined breast traits are fundamental to research aimed at understanding the etiology of breast conditions and identifying individuals at elevated risk for more serious diseases.

Various classification systems and measurement approaches are employed to categorize breast characteristics and related conditions. Mammographic density is quantitatively assessed as the percentage of non-fat tissue visible on a mammogram, providing a continuous or categorized measure of tissue composition [5]. Breast size, while complex, can be operationally defined and classified into discrete categories, such as using self-reported bra cup sizes ranging from “Smaller than AAA” to “Larger than DDD,” with band size often utilized as a proxy for Body Mass Index (BMI) in research contexts[5]. Beyond these physical characteristics, breast cancer, as a malignant condition, is further classified based on the expression of specific molecular markers, including estrogen receptor (ER) status, progesterone receptor (PR) status, and HER2 receptor status[9]. This allows for the categorization of breast cancers into subtypes such as ER-positive, ER-negative, or triple-negative, which are crucial for guiding treatment strategies and understanding disease heterogeneity.

Research into breast conditions and their genetic underpinnings relies on a specialized nomenclature to describe methodologies and findings. Genome-Wide Association Studies (GWAS) represent a primary approach used to identify common genetic susceptibility loci associated with breast cancer[1]. Within these studies, key terms include Single-Nucleotide Polymorphism (SNP), referring to a variation at a single base pair in a DNA sequence, and Minor Allele Frequency (MAF), which indicates the prevalence of the less common allele in a population[7]. Statistical analyses often consider Hardy-Weinberg Equilibrium (HWE) to assess genotyping quality [7]. The results of such genetic associations are typically quantified using metrics like Odds Ratio (OR) or Hazard Ratio (HR), accompanied by Confidence Intervals (CI), to express the strength and precision of the observed relationships between genetic variants and breast cancer risk[9]. These terms constitute the standardized vocabulary for discussing genetic contributions to breast health.

I am unable to generate the “Signs and Symptoms” section for ‘breast benign neoplasm’ as the provided context primarily discusses genome-wide association studies and genetic susceptibility loci related tobreast cancer(malignant neoplasm), and does not contain information regarding the clinical presentation, measurement approaches, variability, or diagnostic significance ofbenign breast neoplasms.

Genetic Predisposition to Breast Conditions

Section titled “Genetic Predisposition to Breast Conditions”

Genetic factors play a significant role in the underlying etiology of various breast conditions, including abnormal tissue growths. Extensive research, primarily through genome-wide association studies (GWAS), has identified numerous genetic susceptibility loci that contribute to the risk of developing breast diseases [1]. These inherited variants, encompassing both common polygenic risk factors and those associated with Mendelian forms of disease, influence cellular processes that can lead to altered breast tissue architecture and proliferation. The interaction between multiple genes can further modulate an individual’s overall susceptibility.

Specific examples of identified genetic variants and loci, while primarily linked to breast cancer risk, illustrate the complex genetic architecture influencing breast tissue. These include common variants at FGFR2, 2q35, 16q12, the TERT-CLPTM1L locus, 10q21.2, ERBB4 at 2q34, RAD51B, 6q14, and 20q11[1]. These findings demonstrate that an individual’s genetic makeup contributes to their predisposition to breast tissue abnormalities, with the specific manifestation potentially influenced by other modifying factors. Furthermore, differences in genetic risk profiles have been observed across diverse ethnic groups, indicating the importance of population-specific genetic studies [1].

Genetic Predisposition and Gene Regulation in Breast Tissue

Section titled “Genetic Predisposition and Gene Regulation in Breast Tissue”

The development of various breast conditions, including abnormal tissue proliferation, is significantly influenced by an individual’s inherited genetic blueprint [1]. Extensive genome-wide association studies (GWAS) have been instrumental in identifying numerous common genetic susceptibility loci associated with breast pathologies. For instance, specific genetic variants at 10q21.2 [10], within the ERBB4 gene at 2q34 [7], and at the TERT-CLPTM1L locus [3] have been linked to an altered risk. These genetic variations can impact gene functions, modify regulatory elements, and consequently alter gene expression patterns, thereby contributing to the complex genetic architecture underlying breast tissue abnormalities [11], [12]. Furthermore, inherited genetic variations have been shown to influence the prognosis of early-onset breast cancer, highlighting the profound role of genetic mechanisms in disease progression[13].

Cellular Pathways and Molecular Components

Section titled “Cellular Pathways and Molecular Components”

Cellular functions within breast tissue are governed by intricate molecular pathways, and disruptions in these can contribute to abnormal growth. Key biomolecules, such as the ERBB4 receptor, play a role in cellular signaling pathways that regulate cell growth and differentiation [7]. Additionally, critical proteins involved in DNA repair, like BRCA2 and RAD51B, are essential for maintaining genomic integrity, and inherited variants in these genes can modify disease susceptibility and penetrance[14], [12]. The TERT-CLPTM1L locus, for example, involves a gene (TERT) associated with telomerase activity, which is crucial for cellular replication and can influence the regulatory networks controlling cell immortality [3]. Dysregulation of these fundamental cellular processes and the biomolecules that drive them can lead to unchecked cell proliferation and the formation of abnormal tissue.

Hormonal Influences and Homeostatic Disruptions

Section titled “Hormonal Influences and Homeostatic Disruptions”

Hormonal factors are significant modulators of breast tissue biology, with disruptions in their normal homeostatic balance contributing to the development of breast conditions. Estrogen, a key hormone, exerts its effects through estrogen receptors, and variations impacting this pathway can influence susceptibility to certain breast pathologies[3]. For instance, specific genetic variants have been associated with estrogen receptor-negative breast cancer, indicating the critical role of hormonal signaling in defining disease characteristics[3]. Such hormonal imbalances and altered receptor functions represent fundamental homeostatic disruptions that can drive abnormal cellular behavior and contribute to the pathophysiological processes observed in breast tissue.

Tissue-Level Dynamics and Pathophysiological Processes

Section titled “Tissue-Level Dynamics and Pathophysiological Processes”

At the tissue and organ level, breast abnormalities arise from complex interactions between various cell types and their microenvironment, leading to distinct pathophysiological processes. The breast tissue undergoes dynamic developmental processes throughout a woman’s life, and any disruptions in these finely tuned processes can lead to the formation of neoplasms. While studies primarily discuss genetic susceptibility to breast cancer, the identification of numerous common genetic susceptibility loci underscores the multifactorial nature of breast disease mechanisms[1], [15]. These genetic predispositions, interacting with environmental and hormonal factors, contribute to the organ-specific effects observed in breast tissue and can have systemic consequences that influence overall health.

The presence of a breast benign neoplasm necessitates careful clinical consideration, particularly regarding an individual’s long-term risk for developing breast cancer. Genetic research, primarily through genome-wide association studies (GWAS), has significantly advanced the understanding of breast cancer susceptibility, providing valuable insights that are clinically relevant for individuals presenting with benign breast conditions. These studies have identified numerous common genetic variants associated with breast cancer risk across diverse populations, including those of East Asian, African, and European ancestries[1]. This growing body of evidence allows for a more comprehensive assessment of an individual’s future cancer risk, which is critical in guiding patient management.

Risk Stratification and Prognostic Insights

Section titled “Risk Stratification and Prognostic Insights”

The identification of common genetic susceptibility loci for breast cancer offers a powerful tool for enhanced risk stratification in individuals with benign breast neoplasms[1]. By characterizing an individual’s genetic predisposition, clinicians can move beyond traditional risk factors to gain a more personalized understanding of their long-term prognostic trajectory. This genetic information can predict outcomes, such as the likelihood of disease progression to malignancy, and inform discussions about long-term implications for patient health. For example, research indicates that early age at breast cancer diagnosis is associated with a worse prognosis, with genetic components contributing to this outcome, suggesting that inherited factors can influence the course of breast disease and its subsequent clinical implications[13]. Understanding these genetic predispositions is crucial for anticipating disease progression and planning appropriate follow-up.

Clinical Applications for Personalized Management

Section titled “Clinical Applications for Personalized Management”

The insights derived from genetic studies have direct clinical applications in refining diagnostic utility, guiding treatment selection, and establishing monitoring strategies for individuals with benign breast conditions. The ability to identify high-risk individuals through genetic profiling allows for personalized medicine approaches, ensuring that surveillance and preventive measures are tailored to an individual’s specific risk profile [1]. For instance, those with a higher genetic susceptibility to breast cancer might benefit from more intensive or frequent monitoring, such as advanced imaging techniques, to detect any potential malignant changes at an earlier, more treatable stage. Furthermore, understanding the interplay of common genetic variants can modify the penetrance of established high-risk genes, like BRCA2, providing a more complete picture of an individual’s overall risk and informing potential prevention strategies[14].

Genetic research also reveals the molecular heterogeneity underlying breast cancer susceptibility, demonstrating that specific genetic variants may be associated with distinct disease characteristics or subtypes. For example, some common variants have been linked specifically to estrogen receptor-negative breast cancer, highlighting the diverse genetic architectures influencing different forms of the disease[3]. This understanding of allelic heterogeneity at certain loci is crucial for appreciating the complex relationships between genetic factors and breast disease phenotypes[16]. For patients with benign breast neoplasms, this means that genetic profiling can offer insights not just into general breast cancer risk, but potentially into the risk of developing specific, more aggressive subtypes. This level of detail in genetic associations can help anticipate overlapping phenotypes or complications, guiding more precise risk assessment and informing patient counseling regarding their unique genetic landscape.

RS IDGeneRelated Traits
rs1461746208 OSBPL8breast benign neoplasm
rs188256118 RPL6P5 - METAP2P1breast benign neoplasm
rs549822836 UCHL1 - Y_RNAbreast benign neoplasm
rs551001465 SIPA1L1breast benign neoplasm
rs189378943 MORF4L2P1 - GSX2breast benign neoplasm
rs374315911 LINC01716breast benign neoplasm
rs551004215 LINC02046breast benign neoplasm
rs561678179 MRPL48breast benign neoplasm
rs149282327 LRRC7breast benign neoplasm
rs141078432 LINC02021breast benign neoplasm

Frequently Asked Questions About Breast Benign Neoplasm

Section titled “Frequently Asked Questions About Breast Benign Neoplasm”

These questions address the most important and specific aspects of breast benign neoplasm based on current genetic research.


1. My mom and grandma had breast lumps. Will I get them too?

Section titled “1. My mom and grandma had breast lumps. Will I get them too?”

There can definitely be a family link. While the exact genetic causes for benign breast lumps aren’t fully understood, we know genetics play a role in your overall breast health and susceptibility to various breast changes. If your family has a history of breast lumps, you might have a higher predisposition.

2. Why do I seem to get breast lumps more often than my friends?

Section titled “2. Why do I seem to get breast lumps more often than my friends?”

Everyone’s body is unique, and your genetic makeup influences how your breast cells grow and respond to hormonal changes. Your individual genetic profile might make you more prone to developing lumps compared to others. It’s often a combination of your unique biology and other factors.

3. I’m not European. Does my background change my risk for breast lumps?

Section titled “3. I’m not European. Does my background change my risk for breast lumps?”

Yes, your ethnic background can influence your risk profile. Many genetic studies have focused on populations of European ancestry, and some identified variants might show different associations in other groups. Research in diverse populations, like East Asian and African communities, is crucial for a complete understanding of genetic risks across all ancestries.

4. Could a genetic test tell me if I’m prone to getting benign breast lumps?

Section titled “4. Could a genetic test tell me if I’m prone to getting benign breast lumps?”

Genetic testing can offer insights into your general risk for breast conditions, particularly breast cancer, and help personalize screening advice. However, for benign breast lumps specifically, the precise genetic drivers are not as well-characterized yet. Current genetic factors explain less than 30% of the total heritability for breast conditions, so a test wouldn’t provide a complete picture for benign lumps alone.

5. Does what I eat make me more likely to get benign breast lumps?

Section titled “5. Does what I eat make me more likely to get benign breast lumps?”

While the article doesn’t directly link specific diets to genetic predisposition for benign lumps, hormonal fluctuations, which can be influenced by diet and lifestyle, play a key role in their development. Your diet and environment can interact with your genetics in complex ways, though the exact connections for benign lumps are still being explored.

6. Does stress actually make breast lumps appear, or is that a myth?

Section titled “6. Does stress actually make breast lumps appear, or is that a myth?”

The article highlights that finding a breast lump can cause significant anxiety and fear, but it doesn’t state that stress directly causes benign lumps to appear. However, chronic stress can impact your body’s hormonal balance, which in turn influences breast tissue. The full interplay between stress, environment, and genetics is complex and ongoing research.

7. As I get older, am I more likely to keep getting these benign lumps?

Section titled “7. As I get older, am I more likely to keep getting these benign lumps?”

Benign breast lumps are quite common and can affect women at various stages of life. Since their development is often influenced by hormonal fluctuations, and hormone levels change throughout your life, it’s possible to experience them at different ages. Regular monitoring is important as you get older, especially for certain types.

8. If my family has many breast lumps, can healthy habits stop me from getting them?

Section titled “8. If my family has many breast lumps, can healthy habits stop me from getting them?”

Healthy habits are always beneficial for your overall well-being and can certainly influence your risk. While genetics contribute significantly to breast conditions, they don’t determine everything. Lifestyle and environmental factors interact with your genes, meaning you can still make positive choices to support your breast health, even with a family history.

9. If I’ve had one benign lump, am I more likely to get another one?

Section titled “9. If I’ve had one benign lump, am I more likely to get another one?”

Having had one benign lump can suggest an underlying predisposition, and it’s not uncommon for women to develop more over time. The article emphasizes that certain types of benign lesions can increase your future risk for breast cancer, highlighting the importance of ongoing monitoring and understanding your personal risk profile.

The primary reason for thorough testing, including imaging and biopsies, is to definitively distinguish a benign lump from a cancerous one. Even though most lumps are harmless, it’s crucial to rule out malignancy. An accurate diagnosis helps alleviate anxiety, avoids unnecessary interventions, and ensures timely treatment if it were cancer.


This FAQ was automatically generated based on current genetic research and may be updated as new information becomes available.

Disclaimer: This information is for educational purposes only and should not be used as a substitute for professional medical advice. Always consult with a healthcare provider for personalized medical guidance.

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[2] Turnbull, C., et al. “Genome-wide association study identifies five new breast cancer susceptibility loci.”Nat Genet, 2010, PMID: 20453838.

[3] Haiman, C. A. “A common variant at the TERT-CLPTM1L locus is associated with estrogen receptor-negative breast cancer.”Nature Genetics, vol. 43, no. 12, Dec. 2011, pp. 1232-6.

[4] Long, J. et al. “Identification of a functional genetic variant at 16q12.1 for breast cancer risk: results from the Asia Breast Cancer Consortium.”PLoS Genet, 2010.

[5] Eriksson, N., et al. “Genetic variants associated with breast size also influence breast cancer risk.”BMC Med Genet, vol. 13, no. 1, 2012.

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[7] Kim, H. C. “A genome-wide association study identifies a breast cancer risk variant in ERBB4 at 2q34: results from the Seoul Breast Cancer Study.”Breast Cancer Research, vol. 14, no. 2, Mar. 2012, p. R56.

[8] Murabito, JM., et al. “A genome-wide association study of breast and prostate cancer in the NHLBI’s Framingham Heart Study.”BMC Med Genet, vol. 8, Suppl 1, 2007.

[9] Antoniou, Antonis C., et al. “A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor-negative breast cancer in the general population.”Nature Genetics, vol. 42, no. 10, 2010, pp. 885-892.

[10] Cai, Q. “Genome-wide association study identifies breast cancer risk variant at 10q21.2: results from the Asia Breast Cancer Consortium.”Human Molecular Genetics, vol. 20, no. 24, Sep. 2011, pp. 4922-8.

[11] Ahmed, S. “Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2.”Nature Genetics, vol. 41, no. 5, May 2009, pp. 585-90.

[12] Orr, N. “Genome-wide association study identifies a common variant in RAD51B associated with male breast cancer risk.”Nature Genetics, vol. 44, no. 11, Nov. 2012, pp. 1182-4.

[13] Rafiq, S. “Identification of inherited genetic variations influencing prognosis in early-onset breast cancer.”Cancer Research, vol. 73, no. 18, Sep. 2013, pp. 5614-22.

[14] Gaudet, M. M. “Common genetic variants and modification of penetrance of BRCA2-associated breast cancer.”PLoS Genetics, vol. 6, no. 10, Oct. 2010, p. e1001183.

[15] Easton, D. F. “Genome-wide association study identifies novel breast cancer susceptibility loci.”Nature, vol. 447, no. 7143, May 2007, pp. 1087-93.

[16] Smedby, K. E. “GWAS of follicular lymphoma reveals allelic heterogeneity at 6p21.32 and suggests shared genetic susceptibility with diffuse large B-cell lymphoma.” PLoS Genetics, vol. 7, no. 4, Apr. 2011, p. e1001378.