Browsing by Subject "Polygenic risk scores"

Now showing 1 - 7 of 7
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    Addressing overfitting bias due to sample overlap in polygenic risk scoring
    (Wiley, 2025) Jeong, Seokho; Shivakumar, Manu; Jung, Sang-Hyuk; Won, Hong-Hee; Nho, Kwangsik; Huang, Heng; Davatzikos, Christos; Saykin, Andrew J.; Thompson, Paul M.; Shen, Li; Kim, Young Jin; Kim, Bong-Jo; Lee, Seunggeun; Kim, Dokyoon; Radiology and Imaging Sciences, School of Medicine
    Introduction: Numerous studies on Alzheimer's disease polygenic risk scores (PRSs) overlook sample overlap between International Genomics of Alzheimer's Project (IGAP) and target datasets like Alzheimer's Disease Neuroimaging Initiative (ADNI). Methods: To address this, we developed overlap-adjusted PRS (OA PRS) and tested it on simulated data to assess biases from different scenarios by varying training, testing, and overlap proportions. OA PRS was used to adjust for sample bias in simulations; then, we applied OA PRS to IGAP and ADNI datasets and validated through visual diagnosis. Results: OA PRS effectively adjusted for sample overlap in all simulation scenarios, as well as for IGAP and ADNI. The original IGAP PRS showed an inflated area under the receiver operating characteristic (AUROC: 0.915) on overlapping samples. OA PRS reduced the AUROC to 0.726, closely aligning with the AUROC of non-overlapping samples (0.712). Further, visual diagnostics confirmed the effectiveness of our adjustments. Discussion: With OA PRS, we were able to adjust the IGAP summary-based PRS for the overlapped ADNI samples, allowing the dataset to be fully used without the risk of overfitting. Highlights: Sample overlap between large Alzheimer's disease (AD) cohorts poses overfitting bias when using AD polygenic risk scores (PRSs). This study highlighted the effectiveness of overlap-adjusted PRS (OA -PRS) in mitigating overfitting and improving the accuracy of PRS estimations. New PRSs based on adjusted effect sizes showed increased power in association with clinical features.
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    Associations between Suicidal Thoughts and Behaviors and Genetic Liability for Cognitive Performance, Depression, and Risk-Taking in a High-Risk Sample
    (Karger, 2021) Johnson, Emma C.; Aliev, Fazil; Meyers, Jacquelyn L.; Salvatore, Jessica E.; Tillman, Rebecca; Chang, Yoonhoo; Docherty, Anna R.; Bogdan, Ryan; Acion, Laura; Chan, Grace; Chorlian, David B.; Kamarajan, Chella; Kuperman, Samuel; Pandey, Ashwini; Plawecki, Martin H.; Schuckit, Marc; Tischfield, Jay; Edenberg, Howard J.; Bucholz, Kathleen K.; Nurnberger, John I.; Porjesz, Bernice; Hesselbrock, Victor; Dick, Danielle M.; Kramer, John R.; Agrawal, Arpana; Psychiatry, School of Medicine
    Background: Suicidal thoughts and behaviors (STBs) and nonsuicidal self-injury (NSSI) behaviors are moderately heritable and may reflect an underlying predisposition to depression, impulsivity, and cognitive vulnerabilities to varying degrees. Objectives: We aimed to estimate the degrees of association between genetic liability to depression, impulsivity, and cognitive performance and STBs and NSSI in a high-risk sample. Methods: We used data on 7,482 individuals of European ancestry and 3,359 individuals of African ancestry from the Collaborative Study on the Genetics of Alcoholism to examine the links between polygenic scores (PGSs) for depression, impulsivity/risk-taking, and cognitive performance with 3 self-reported indices of STBs (suicidal ideation, persistent suicidal ideation defined as ideation occurring on at least 7 consecutive days, and suicide attempt) and with NSSI. Results: The PGS for depression was significantly associated with all 4 primary self-harm measures, explaining 0.6-2.5% of the variance. The PGS for risk-taking behaviors was also associated with all 4 self-harm behaviors in baseline models, but was no longer associated after controlling for a lifetime measure of DSM-IV alcohol dependence and abuse symptom counts. Polygenic predisposition for cognitive performance was negatively associated with suicide attempts (q = 3.8e-4) but was not significantly associated with suicidal ideation nor NSSI. We did not find any significant associations in the African ancestry subset, likely due to smaller sample sizes. Conclusions: Our results encourage the study of STB as transdiagnostic outcomes that show genetic overlap with a range of risk factors.
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    Current Status of Genetics and Polygenic Risk Scores in Metabolic Dysfunction-Associated Steatohepatitis
    (Millennium Medical, 2024) Chalasani, Naga; Medicine, School of Medicine
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    Evaluating risk for alcohol use disorder: Polygenic risk scores and family history
    (Wiley, 2022) Lai, Dongbing; Johnson, Emma C.; Colbert, Sarah; Pandey, Gayathri; Chan, Grace; Bauer, Lance; Francis, Meredith W.; Hesselbrock, Victor; Kamarajan, Chella; Kramer, John; Kuang, Weipeng; Kuo, Sally; Kuperman, Samuel; Liu, Yunlong; McCutcheon, Vivia; Pang, Zhiping; Plawecki, Martin H.; Schuckit, Marc; Tischfield, Jay; Wetherill, Leah; Zang, Yong; Edenberg, Howard J.; Porjesz, Bernice; Agrawal, Arpana; Foroud, Tatiana; Medical and Molecular Genetics, School of Medicine
    Background: Early identification of individuals at high risk for alcohol use disorder (AUD) coupled with prompt interventions could reduce the incidence of AUD. In this study, we investigated whether Polygenic Risk Scores (PRS) can be used to evaluate the risk for AUD and AUD severity (as measured by the number of DSM-5 AUD diagnostic criteria met) and compared their performance with a measure of family history of AUD. Methods: We studied individuals of European ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA). DSM-5 diagnostic criteria were available for 7203 individuals, of whom 3451 met criteria for DSM-IV alcohol dependence or DSM-5 AUD and 1616 were alcohol-exposed controls aged ≥21 years with no history of AUD or drug dependence. Further, 4842 individuals had a positive first-degree family history of AUD (FH+), 2722 had an unknown family history (FH?), and 336 had a negative family history (FH-). PRS were derived from a meta-analysis of a genome-wide association study of AUD from the Million Veteran Program and scores from the problem subscale of the Alcohol Use Disorders Identification Test in the UK Biobank. We used mixed models to test the association between PRS and risk for AUD and AUD severity. Results: AUD cases had higher PRS than controls with PRS increasing as the number of DSM-5 diagnostic criteria increased (p-values ≤ 1.85E-05 ) in the full COGA sample, the FH+ subsample, and the FH? subsample. Individuals in the top decile of PRS had odds ratios (OR) for developing AUD of 1.96 (95% CI: 1.54 to 2.51, p-value = 7.57E-08 ) and 1.86 (95% CI: 1.35 to 2.56, p-value = 1.32E-04 ) in the full sample and the FH+ subsample, respectively. These values are comparable to previously reported ORs for a first-degree family history (1.91 to 2.38) estimated from national surveys. PRS were also significantly associated with the DSM-5 AUD diagnostic criterion count in the full sample, the FH+ subsample, and the FH? subsample (p-values ≤6.7E-11 ). PRS remained significantly associated with AUD and AUD severity after accounting for a family history of AUD (p-values ≤6.8E-10 ). Conclusions: Both PRS and family history were associated with AUD and AUD severity, indicating that these risk measures assess distinct aspects of liability to AUD traits.
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    Genetic Risk and First-Trimester Cardiovascular Health Predict Hypertensive Disorders of Pregnancy in Nulliparous Women
    (Elsevier, 2025) Mathew, Vineetha; Khan, Raiyan R.; Jowell, Amanda R.; Yan, Qi; Pe'er, Itsik; Truong, Buu; Natarajan, Pradeep; Yee, Lynn M.; Khan, Sadiya S.; Sharma, Garima; Patel, Aniruddh P.; Cho, So Mi Jemma; Pabon, Maria A.; McNeil, Rebecca B.; Spencer, Jillyn; Silver, Robert M.; Levine, Lisa D.; Grobman, William A.; Catov, Janet M.; Haas, David M.; Honigberg, Michael C.; Obstetrics and Gynecology, School of Medicine
    Background: Hypertensive disorders of pregnancy (HDPs) (preeclampsia/eclampsia and gestational hypertension) are a leading cause of maternal and perinatal morbidity and mortality and are associated with long-term maternal cardiovascular disease. High genetic risk and poor cardiovascular health (CVH) are each associated with HDPs, but whether genetic risk for HDP is modified by CVH status in early pregnancy is unknown. Objectives: In this study, the authors sought to test the independent and joint associations of genetic risk and first-trimester CVH with development of HDP. Methods: We examined genotyped participants from the nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be), a prospective observational cohort that enrolled nulliparous individuals with singleton pregnancies from 2010 to 2013 at 8 U.S. clinical sites. Genetic risk was calculated according to a validated genetic risk score for HDP. A first-trimester CVH score was closely adapted from the American Heart Association Life's Essential 8 model. Genetic risk and CVH were each categorized as low (bottom quintile), intermediate (quintile 2-4), or high (top quintile). The primary outcome was development of HDP. Multivariable-adjusted logistic regression was used to test the independent and joint associations of genetic risk and CVH with development of HDPs. Results: Among 7,499 participants (mean age 27.0 years), the median first-trimester CVH score was 77.1 (Q1-Q3: 67.1-85.7). Overall, 1,032 participants (13.8%) developed an HDP (487 [6.5%] preeclampsia, 545 [7.3%] gestational hypertension). Genetic risk and CVH were each independently and additively associated with HDP (high vs low genetic risk: adjusted OR [aOR]: 2.21 [95% CI: 1.78-2.77; P < 0.001]; low vs high CVH: aOR: 2.92 [95% CI: 2.28-3.74; P < 0.001]). There was no significant interaction between genetic risk and CVH regarding risk of HDPs (Pinteraction > 0.05). HDP incidence ranged from 4.5% (low genetic risk, high CVH) to 25.7% (high genetic risk, low CVH). Compared with low CVH, high CVH was associated with 53%-74% lower risk of HDP across genetic risk strata. Findings were consistent when examining preeclampsia/eclampsia and gestational hypertension separately. Conclusions: Lower genetic risk and higher first-trimester CVH were independently and additively associated with lower risk of developing HDPs in nulliparous individuals. Favorable CVH in early pregnancy may mitigate high genetic risk for HDP.
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    Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders
    (Karger, 2023-01-18) Colbert, Sarah M. C.; Mullins, Niamh; Chan, Grace; Meyers, Jacquelyn L.; Schulman, Jessica; Kuperman, Samuel; Lai, Dongbing; Nurnberger, John; Plawecki, Martin H.; Kamarajan, Chella; Anokhin, Andrey P.; Bucholz, Kathleen K.; Hesselbrock, Victor; Edenberg, Howard J.; Kramer, John; Dick, Danielle M.; Porjesz, Bernice; Agrawal, Arpana; Johnson, Emma C.; Medical and Molecular Genetics, School of Medicine
    Introduction: Suicidal thoughts and behaviors have partially distinct genetic etiologies. Methods: We used PRS-CS to create polygenic risk scores (PRSs) from GWAS of non-suicidal self-injury, broad-sense self-harm ideation, nonfatal suicide attempt, death by suicide, and depression. Using mixed-effect models, we estimated whether these PRSs were associated with a range of suicidal thoughts and behaviors in the Collaborative Study on the Genetics of Alcoholism (N = 7,526). Results: All PRSs were significantly associated with suicidal ideation and suicide attempt (betas = 0.08-0.44, false discovery rate [FDR] <0.023). All PRSs except non-suicidal self-injury PRS were associated with active suicidal ideation (betas = 0.14-0.22, FDR <0.003). Several associations remained significant in models where all significant PRSs were included as simultaneous predictors, and when all PRSs predicted suicide attempt, the PRS together explained 6.2% of the variance in suicide attempt. Significant associations were also observed between some PRSs and persistent suicidal ideation, non-suicidal self-injury, compounded suicide attempt, and desire to die. Conclusion: Our findings suggest that PRS for depression does not explain the entirety of the variance in suicidal thoughts and behaviors, with PRS specifically for suicidal thoughts and behaviors making additional and sometimes unique contributions.
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    Polygenic risk scores in psychiatry: Will they be useful for clinicians?
    (F1000 Research, 2019-07-31) Fullerton, Janice M.; Nurnberger, John I.; Psychiatry, School of Medicine
    Major psychiatric disorders are heritable but they are genetically complex. This means that, with certain exceptions, single gene markers will not be helpful for diagnosis. However, we are learning more about the large number of gene variants that, in combination, are associated with risk for disorders such as schizophrenia, bipolar disorder, and other psychiatric conditions. The presence of those risk variants may now be combined into a polygenic risk score (PRS). Such a score provides a quantitative index of the genomic burden of risk variants in an individual, which relates to the likelihood that a person has a particular disorder. Currently, such scores are quite useful in research, and they are telling us much about the relationships between different disorders and other indices of brain function. In the future, as the datasets supporting the development of such scores become larger and more diverse and as methodological developments improve predictive capacity, we expect that PRS will have substantial clinical utility in the assessment of risk for disease, subtypes of disease, and even treatment response. Here, we provide an overview of PRS in general terms (including a glossary suitable for informed non-geneticists) and discuss the use of PRS in psychiatry, including their limitations and cautions for interpretation, as well as their applications now and in the future.