Background: Most genome-wide association studies (GWAS) have been carried out in European ancestry populations; no risk variants for breast cancer have been identified solely from African ancestry GWAS data. Few GWAS hits have replicated in African ancestry populations. Methods: In a nested case–control study of breast cancer in the Black Women’s Health Study (1,199 cases/ 1,948 controls),we evaluated index single-nucleotide polymorphisms (SNP) in 21 loci fromGWASof European or Asian ancestry populations, overall, in subtypes defined by estrogen receptor (ER) and progesterone receptor (PR) status (ERþ/PRþ, n 336; ER/PR, n 229), and in triple-negative breast cancer (TNBC, N 81). To evaluate the contribution of genetic factors to populatio...
Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER) br...
PURPOSE: Population-based incidence rates of breast cancers that are negative for estrogen receptor ...
Abstract: Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first...
Background: Most genome-wide association scans (GWAS) have been carried out in European ancestry po...
Background: Genome-wide association studies (GWAS) have identified loci associated with risk of brea...
Multiple breast cancer loci have been identified in previous genome-wide association studies, but th...
OBJECTIVE: To investigate subtype-specific risk of germline alleles associated with triple negative ...
OBJECTIVE: To investigate subtype-specific risk of germline alleles associated with triple negative ...
<div><p>Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, h...
Background: Population-based incidence rates of breast cancers that are negative for estrogen recept...
Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have iden...
Background: Genome-wide association studies have identified approximately 100 common genetic variant...
Genome-wide association studies (GWAS) in diverse populations are needed to reveal variants that are...
Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have iden...
Background: Genome-wide association studies have identi-fied polymorphisms associated with breast ca...
Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER) br...
PURPOSE: Population-based incidence rates of breast cancers that are negative for estrogen receptor ...
Abstract: Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first...
Background: Most genome-wide association scans (GWAS) have been carried out in European ancestry po...
Background: Genome-wide association studies (GWAS) have identified loci associated with risk of brea...
Multiple breast cancer loci have been identified in previous genome-wide association studies, but th...
OBJECTIVE: To investigate subtype-specific risk of germline alleles associated with triple negative ...
OBJECTIVE: To investigate subtype-specific risk of germline alleles associated with triple negative ...
<div><p>Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, h...
Background: Population-based incidence rates of breast cancers that are negative for estrogen recept...
Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have iden...
Background: Genome-wide association studies have identified approximately 100 common genetic variant...
Genome-wide association studies (GWAS) in diverse populations are needed to reveal variants that are...
Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have iden...
Background: Genome-wide association studies have identi-fied polymorphisms associated with breast ca...
Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER) br...
PURPOSE: Population-based incidence rates of breast cancers that are negative for estrogen receptor ...
Abstract: Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first...