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Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System
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Importance
Serious mental illnesses, including schizophrenia, bipolar disorder, and depression, are heritable, highly multifactorial disorders and major causes of disability worldwide.
Objective
To benchmark the penetrance of current neuropsychiatric polygenic risk scores (PRSs) in the Veterans Health Administration health care system and to explore associations between PRS and broad categories of human disease via phenome-wide association studies.
Design, Setting, and Participants
Extensive Veterans Health Administration’s electronic health records were assessed from October 1999 to January 2021, and an embedded cohort of 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder were found. The performance of schizophrenia, bipolar disorder, and major depression PRSs were compared in participants of African or European ancestry in the Million Veteran Program (approximately 400 000 individuals), and associations between PRSs and 1650 disease categories based on
ICD-9/10
billing codes were explored. Last, genomic structural equation modeling was applied to derive novel PRSs indexing common and disorder-specific genetic factors. Analysis took place from January 2021 to January 2022.
Main Outcomes and Measures
Diagnoses based on in-person structured clinical interviews were compared with
ICD-9/10
billing codes. PRSs were constructed using summary statistics from genome-wide association studies of schizophrenia, bipolar disorder, and major depression.
Results
Of 707 299 enrolled study participants, 459 667 were genotyped at the time of writing; 84 806 were of broadly African ancestry (mean [SD] age, 58 [12.1] years) and 314 909 were of broadly European ancestry (mean [SD] age, 66.4 [13.5] years). Among 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder, 8962 (95.6%) were correctly identified using
ICD-9/10
codes (2 or more). Among those of European ancestry, PRSs were robustly associated with having received a diagnosis of schizophrenia (odds ratio [OR], 1.81 [95% CI, 1.76-1.87];
P
< 10
−257
) or bipolar disorder (OR, 1.42 [95% CI, 1.39-1.44];
P
< 10
−295
). Corresponding effect sizes in participants of African ancestry were considerably smaller for schizophrenia (OR, 1.35 [95% CI, 1.29-1.42];
P
< 10
−38
) and bipolar disorder (OR, 1.16 [95% CI, 1.11-1.12];
P
< 10
−10
). Neuropsychiatric PRSs were associated with increased risk for a range of psychiatric and physical health problems.
Conclusions and Relevance
Using diagnoses confirmed by in-person structured clinical interviews and current neuropsychiatric PRSs, the validity of an electronic health records–based phenotyping approach in US veterans was demonstrated, highlighting the potential of PRSs for disentangling biological and mediated pleiotropy.
American Medical Association (AMA)
Tim B. Bigdeli
Georgios Voloudakis
Peter B. Barr
Bryan R. Gorman
Giulio Genovese
Roseann E. Peterson
David E. Burstein
Vlad I. Velicu
Yuli Li
Rishab Gupta
Manuel Mattheisen
Simone Tomasi
Nallakkandi Rajeevan
Frederick Sayward
Krishnan Radhakrishnan
Sundar Natarajan
Anil K. Malhotra
Yunling Shi
Hongyu Zhao
Thomas R. Kosten
John Concato
Timothy J. O’Leary
Ronald Przygodzki
Theresa Gleason
Saiju Pyarajan
Mary Brophy
Grant D. Huang
Sumitra Muralidhar
J. Michael Gaziano
Mihaela Aslan
Ayman H. Fanous
Philip D. Harvey
Panos Roussos
Mihaela Aslan
M Antonelli
M de Asis
MS Bauer
Mary Brophy
John Concato
F Cunningham
R Freedman
Michael Gaziano
Theresa Gleason
Philip Harvey
Grant Huang
J Kelsoe
Thomas Kosten
T Lehner
JB Lohr
SR Marder
P Miller
Timothy O Leary
T Patterson
P Peduzzi
Ronald Przygodski
Larry Siever
P Sklar
S Strakowski
Hongyu Zhao
Ayman Fanous
W Farwell
A Malhorta
S Mane
P Palacios
Tim Bigdeli
M Corsey
L Zaluda
Juanita Johnson
Melyssa Sueiro
D Cavaliere
V Jeanpaul
Alysia Maffucci
L Mancini
J Deen
G Muldoon
Stacey Whitbourne
J Canive
L Adamson
L Calais
G Fuldauer
R Kushner
G Toney
M Lackey
A Mank
N Mahdavi
G Villarreal
EC Muly
F Amin
M Dent
J Wold
B Fischer
A Elliott
C Felix
G Gill
PE Parker
C Logan
J McAlpine
LE DeLisi
SG Reece
MB Hammer
D Agbor-Tabie
W Goodson
M Aslam
M Grainger
Neil Richtand
Alexander Rybalsky
R Al Jurdi
E Boeckman
T Natividad
D Smith
M Stewart
S Torres
Z Zhao
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A Green
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S Ngombu
MK Scott
A Strasburger
J Sumner
G Paschall
J Mucciarelli
R Owen
S Theus
D Tompkins
SG Potkin
C Reist
M Novin
S Khalaghizadeh
Richard Douyon
Nita Kumar
Becky Martinez
SR Sponheim
TL Bender
HL Lucas
AM Lyon
MP Marggraf
LH Sorensen
CR Surerus
C Sison
J Amato
DR Johnson
N Pagan-Howard
LA Adler
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T Leon
KM Mattocks
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EG Fischer
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S Gill
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T Nguyen
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R Belle
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RH Jones
T Le
IG Molina
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L Sally
A Tapp
S Devroy
V Jain
N Kilzieh
L Maus
K Miller
H Pope
A Wood
E Meyer
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PB Hicks
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K McNair
JL Pena
DF Tharp
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M Ban
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P Darr
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J Munford
B Whitfield
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SE Melnikoff
BL Schwartz
MA Tureson
D D Souza
K Forselius
M Ranganathan
L Rispoli
M Sather
C Colling
C Haakenson
D Kruegar
Sumitra Muralidhar
Rachel Ramoni
Jim Breeling
Kyong-Mi Chang
Christopher O Donnell
Philip Tsao
Jennifer Moser
Jessica Brewer
Stuart Warren
Dean Argyres
Brady Stevens
Donald Humphries
Nhan Do
Shahpoor Shayan
Xuan-Mai Nguyen
Saiju Pyarajan
Kelly Cho
Elizabeth Hauser
Yan Sun
Peter Wilson
Rachel McArdle
Louis Dellitalia
John Harley
Jeffrey Whittle
Title: Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System
Description:
Importance
Serious mental illnesses, including schizophrenia, bipolar disorder, and depression, are heritable, highly multifactorial disorders and major causes of disability worldwide.
Objective
To benchmark the penetrance of current neuropsychiatric polygenic risk scores (PRSs) in the Veterans Health Administration health care system and to explore associations between PRS and broad categories of human disease via phenome-wide association studies.
Design, Setting, and Participants
Extensive Veterans Health Administration’s electronic health records were assessed from October 1999 to January 2021, and an embedded cohort of 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder were found.
The performance of schizophrenia, bipolar disorder, and major depression PRSs were compared in participants of African or European ancestry in the Million Veteran Program (approximately 400 000 individuals), and associations between PRSs and 1650 disease categories based on
ICD-9/10
billing codes were explored.
Last, genomic structural equation modeling was applied to derive novel PRSs indexing common and disorder-specific genetic factors.
Analysis took place from January 2021 to January 2022.
Main Outcomes and Measures
Diagnoses based on in-person structured clinical interviews were compared with
ICD-9/10
billing codes.
PRSs were constructed using summary statistics from genome-wide association studies of schizophrenia, bipolar disorder, and major depression.
Results
Of 707 299 enrolled study participants, 459 667 were genotyped at the time of writing; 84 806 were of broadly African ancestry (mean [SD] age, 58 [12.
1] years) and 314 909 were of broadly European ancestry (mean [SD] age, 66.
4 [13.
5] years).
Among 9378 individuals with confirmed diagnoses of schizophrenia or bipolar 1 disorder, 8962 (95.
6%) were correctly identified using
ICD-9/10
codes (2 or more).
Among those of European ancestry, PRSs were robustly associated with having received a diagnosis of schizophrenia (odds ratio [OR], 1.
81 [95% CI, 1.
76-1.
87];
P
< 10
−257
) or bipolar disorder (OR, 1.
42 [95% CI, 1.
39-1.
44];
P
< 10
−295
).
Corresponding effect sizes in participants of African ancestry were considerably smaller for schizophrenia (OR, 1.
35 [95% CI, 1.
29-1.
42];
P
< 10
−38
) and bipolar disorder (OR, 1.
16 [95% CI, 1.
11-1.
12];
P
< 10
−10
).
Neuropsychiatric PRSs were associated with increased risk for a range of psychiatric and physical health problems.
Conclusions and Relevance
Using diagnoses confirmed by in-person structured clinical interviews and current neuropsychiatric PRSs, the validity of an electronic health records–based phenotyping approach in US veterans was demonstrated, highlighting the potential of PRSs for disentangling biological and mediated pleiotropy.
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