Renato Polimanti

Renato Polimanti

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 November 2018 in Nature Neuroscience
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RWRaymond K. Walters
Raymond K. Walters
RPRenato Polimanti
Renato Polimanti
EJEmma Johnson
Emma Johnson
JMJeanette N. McClintick
Jeanette N. McClintick
MAMark J. Adams
Mark J. Adams
AAArpana Agrawal
Arpana Agrawal

8 October 2019 in Nature Communications
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CNCaroline Nievergelt
Caroline Nievergelt
AMAdam X. Maihofer
Adam X. Maihofer
TKTorsten Klengel
Torsten Klengel
EAElizabeth G. Atkinson
Elizabeth G. Atkinson
CCChia-Yen Chen
Chia-Yen Chen
KKKarestan C. Koenen
Karestan C. Koenen
The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5–20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson’s disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and expanding GWAS beyond European ancestry populations.

19 July 2024 in Science
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Journal Article
Open access
AVAnurag Verma
Anurag Verma
JHJennifer E. Huffman
Jennifer E. Huffman
ARAlex Rodriguez
Alex Rodriguez
MCMitchell Conery
Mitchell Conery
Molei LiuMolei Liu
Molei Liu
KLKatherine P. Liao
Katherine P. Liao
One of the justifiable criticisms of human genetic studies is the underrepresentation of participants from diverse populations. Lack of inclusion must be addressed at-scale to identify causal disease factors and understand the genetic causes of health disparities. We present genome-wide associations for 2068 traits from 635,969 participants in the Department of Veterans Affairs Million Veteran Program, a longitudinal study of diverse United States Veterans. Systematic analysis revealed 13,672 genomic risk loci; 1608 were only significant after including non-European populations. Fine-mapping identified causal variants at 6318 signals across 613 traits. One-third ( n = 2069) were identified in participants from non-European populations. This reveals a broadly similar genetic architecture across populations, highlights genetic insights gained from underrepresented groups, and presents an extensive atlas of genetic associations.

2 April 2019 in Nature Communications
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HKHenry R. Kranzler
Henry R. Kranzler
HZHang Zhou
Hang Zhou
RKRachel L. Kember
Rachel L. Kember
RVRachel Vickers-Smith
Rachel Vickers-Smith
AJAmy C. Justice
Amy C. Justice
JGJoel Gelernter
Joel Gelernter
Alcohol consumption level and alcohol use disorder (AUD) diagnosis are moderately heritable traits. We conduct genome-wide association studies of these traits using longitudinal Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) scores and AUD diagnoses in a multi-ancestry Million Veteran Program sample (N = 274,424). We identify 18 genome-wide significant loci: 5 associated with both traits, 8 associated with AUDIT-C only, and 5 associated with AUD diagnosis only. Polygenic Risk Scores (PRS) for both traits are associated with alcohol-related disorders in two independent samples. Although a significant genetic correlation reflects the overlap between the traits, genetic correlations for 188 non-alcohol-related traits differ significantly for the two traits, as do the phenotypes associated with the traits’ PRS. Cell type group partitioning heritability enrichment analyses also differentiate the two traits. We conclude that, although heavy drinking is a key risk factor for AUD, it is not a sufficient cause of the disorder.

27 May 2021 in Nature Neuroscience
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DLDaniel Levey
Daniel Levey
MSMurray B. Stein
Murray B. Stein
Frank WendtFrank Wendt
Frank Wendt
GPGita A. Pathak
Gita A. Pathak
HZHang Zhou
Hang Zhou
TPThe Million Veteran Program
The Million Veteran Program

25 May 2020 in Nature Neuroscience
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Journal Article
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HZHang Zhou
Hang Zhou
JSJulia M. Sealock
Julia M. Sealock
SSSandra Sanchez-Roige
Sandra Sanchez-Roige
TCToni-Kim Clarke
Toni-Kim Clarke
DLDaniel Levey
Daniel Levey
JGJoel Gelernter
Joel Gelernter