ID

45377

Beschrijving

Principal Investigator: Chris Haiman, ScD, University of Southern California, Los Angeles, CA, USA MeSH: Breast Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000517 The Multiethnic Cohort Study is a population-based prospective cohort study (n=215,251) that was initiated between 1993 and 1996 and includes subjects from various ethnic groups - African Americans and Latinos primarily from Californian (great Los Angeles area) and Native Hawaiians, Japanese-Americans, and European Americans primarily from Hawaii. State drivers' license files were the primary sources used to identify study subjects in Hawaii and California. Additionally, in Hawaii, state voter's registration files were used, and, in California, Health Care Financing Administration (HCFA) files were used to identify additional African American study subjects. In the cohort, incident cancer cases are identified annually through cohort linkage to population-based cancer Surveillance, Epidemiology, and End Results (SEER) registries in Hawaii and Los Angeles County as well as to the California State cancer registry. Information on estrogen receptor status is also obtained through these registries. Blood sample collection in the MEC began in 1994 and targeted incident breast cancer cases and a random sample of study participants to serve as controls for genetic analyses. Subjects are frequency matched on age at blood draw and ethnicity. The following number of breast cancer cases and controls were genome-wide scanned as part of this study: African Americans, 473 cases and 464 controls; Japanese: 885 cases and 822 controls; Latinos, 520 cases and 544 controls.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000517

Trefwoorden

  1. 07-11-22 07-11-22 - Simon Heim
  2. 13-12-22 13-12-22 - Kristina Keller
Houder van rechten

Chris Haiman, ScD, University of Southern California, Los Angeles, CA, USA

Geüploaded op

7 november 2022

DOI

Voor een aanvraag inloggen.

Licentie

Creative Commons BY 4.0

Model Commentaren :

Hier kunt u commentaar leveren op het model. U kunt de tekstballonnen bij de itemgroepen en items gebruiken om er specifiek commentaar op te geven.

Itemgroep Commentaren voor :

Item Commentaren voor :

U moet ingelogd zijn om formulieren te downloaden. AUB inloggen of schrijf u gratis in.

dbGaP phs000517 Multiethnic Cohort (MEC) Breast Cancer Genetics

Eligibility Criteria

Inclusion and exclusion criteria
Beschrijving

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
Inclusion/Exclusion: Women between ages of 45 and 75 when MEC was initiated between 1993-1996. Self-report of African American, Japanese and Latino.
Beschrijving

Inclusion/Exclusion: Women between ages of 45 and 75 when MEC was initiated between 1993-1996. Self-report of African American, Japanese and Latino.

Datatype

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
UMLS CUI [1,3]
C0043210
UMLS CUI [1,4]
C0001779
UMLS CUI [1,5]
C0009247
UMLS CUI [1,6]
C0085756
UMLS CUI [1,7]
C1556094
UMLS CUI [1,8]
C0086528

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Inclusion/Exclusion: Women between ages of 45 and 75 when MEC was initiated between 1993-1996. Self-report of African American, Japanese and Latino.
Item
Inclusion/Exclusion: Women between ages of 45 and 75 when MEC was initiated between 1993-1996. Self-report of African American, Japanese and Latino.
boolean
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
C0043210 (UMLS CUI [1,3])
C0001779 (UMLS CUI [1,4])
C0009247 (UMLS CUI [1,5])
C0085756 (UMLS CUI [1,6])
C1556094 (UMLS CUI [1,7])
C0086528 (UMLS CUI [1,8])

Gebruik dit formulier voor feedback, vragen en verbeteringsvoorstellen.

Velden gemarkeerd met een * zijn verplicht.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial