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GWAS Study

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.

Johnson R, Ding Y, Venkateswaran V et al.

36085083 PubMed ID
GWAS Study Type
22184 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

JR
Johnson R
DY
Ding Y
VV
Venkateswaran V
BA
Bhattacharya A
BK
Boulier K
CA
Chiu A
KS
Knyazev S
ST
Schwarz T
FM
Freund M
ZL
Zhan L
BK
Burch KS
CC
Caggiano C
HB
Hill B
RN
Rakocz N
BB
Balliu B
DC
Denny CT
SJ
Sul JH
ZN
Zaitlen N
AV
Arboleda VA
HE
Halperin E
SS
Sankararaman S
BM
Butte MJ
LC
Lajonchere C
GD
Geschwind DH
PB
Pasaniuc B
Chapter II

Abstract

Summary of the research findings

Large medical centers in urban areas, like Los Angeles, care for a diverse patient population and offer the potential to study the interplay between genetic ancestry and social determinants of health. Here, we explore the implications of genetic ancestry within the University of California, Los Angeles (UCLA) ATLAS Community Health Initiative-an ancestrally diverse biobank of genomic data linked with de-identified electronic health records (EHRs) of UCLA Health patients (N=36,736).

2,214 European American ancestry cases, 19,970 European American ancestry controls

Chapter III

Study Statistics

Key metrics and study information

22184
Total Participants
GWAS
Study Type
No
Replicated
European, African American or Afro-Caribbean, East Asian, Hispanic or Latin American
Ancestry
U.S.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

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