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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 A Mayeda A Green J Hofstetter 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 S Alerpin T Leon KM Mattocks N Araeva JC Sullivan T Suppes K Bratcher L Drag EG Fischer L Fujitani S Gill D Grimm J Hoblyn T Nguyen E Nikolaev L Shere R Relova A Vicencio M Yip I Hurford S Acheampong G Carfagno GL Haas C Appelt E Brown B Chakraborty E Kelly G Klima S Steinhauer RA Hurley R Belle D Eknoyan K Johnson J Lamotte E Granholm K Bradshaw J Holden RH Jones T Le IG Molina M Peyton I Ruiz L Sally A Tapp S Devroy V Jain N Kilzieh L Maus K Miller H Pope A Wood E Meyer P Givens PB Hicks S Justice K McNair JL Pena DF Tharp L Davis M Ban L Cheatum P Darr W Grayson J Munford B Whitfield E Wilson 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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