Genome-wide Association Study Identifies 32 Novel Breast Cancer Susceptibility Loci From Overall and Subtype-Specific Analyses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F20%3A00078404" target="_blank" >RIV/00209805:_____/20:00078404 - isvavai.cz</a>

Výsledek na webu

<a href="https://pubmed.ncbi.nlm.nih.gov/32424353/?from_term=foretova+l&from_sort=date&from_pos=1" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/32424353/?from_term=foretova+l&from_sort=date&from_pos=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41588-020-0609-2" target="_blank" >10.1038/s41588-020-0609-2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Genome-wide Association Study Identifies 32 Novel Breast Cancer Susceptibility Loci From Overall and Subtype-Specific Analyses

Popis výsledku v původním jazyce

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P &lt; 5.0 x 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate &lt; 0.05). Five loci showed associations (P &lt; 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Název v anglickém jazyce

Genome-wide Association Study Identifies 32 Novel Breast Cancer Susceptibility Loci From Overall and Subtype-Specific Analyses

Popis výsledku anglicky

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P &lt; 5.0 x 10-8), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate &lt; 0.05). Five loci showed associations (P &lt; 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30204 - Oncology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Nature genetics

ISSN

1061-4036

e-ISSN

—

Svazek periodika

52

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

572-581

Kód UT WoS článku

000533846800005

EID výsledku v databázi Scopus

2-s2.0-85085167024