A Population-Based Study of Genes Previously Implicated in Breast Cancer.
Chunling HuSteven N HartRohan GnanaolivuHongyan HuangKun Y LeeJie NaChi GaoJenna LilyquistSiddhartha YadavNicholas J BoddickerRaed SamaraJosh KlebbaChristine B AmbrosoneHoda Anton-CulverPaul AuerElisa V BanderaLeslie BernsteinKimberly A BertrandElizabeth S BurnsideBrian D CarterHeather EliassenSusan M GapsturMia GaudetChristopher HaimanJames M HodgeDavid J HunterEric J JacobsEsther M JohnCharles KooperbergAllison W KurianLoic Le MarchandSara LindstroemTricia LindstromHuiyan MaSusan NeuhausenPolly A NewcombKatie M O'BrienJanet E OlsonIrene M OngTuya PalJulie R PalmerAlpa V PatelSonya ReidLynn RosenbergDale P SandlerChristopher ScottRulla TamimiJack A TaylorAmy Trentham-DietzCeline M VachonClarice WeinbergSong YaoArgyrios ZiogasJeffrey N WeitzelDavid E GoldgarSusan M DomchekKatherine L NathansonPeter KraftEric C PolleyFergus J CouchPublished in: The New England journal of medicine (2021)
This study provides estimates of the prevalence and risk of breast cancer associated with pathogenic variants in known breast cancer-predisposition genes in the U.S. population. These estimates can inform cancer testing and screening and improve clinical management strategies for women in the general population with inherited pathogenic variants in these genes. (Funded by the National Institutes of Health and the Breast Cancer Research Foundation.).
Keyphrases
- genome wide
- healthcare
- copy number
- public health
- breast cancer risk
- bioinformatics analysis
- mental health
- genome wide identification
- type diabetes
- papillary thyroid
- dna methylation
- metabolic syndrome
- pregnant women
- risk factors
- adipose tissue
- childhood cancer
- risk assessment
- young adults
- squamous cell
- skeletal muscle
- lymph node metastasis
- cervical cancer screening