| 1. |
- Lindström, Sara, et al.
(författare)
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Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions
- 2023
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Ingår i: Journal of the National Cancer Institute. - : Oxford University Press. - 0027-8874 .- 1460-2105. ; 115:6, s. 712-732
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci.METHODS: We collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci.RESULTS: We observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci.CONCLUSIONS: Overall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.
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| 2. |
- Zhang, YD, et al.
(författare)
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Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers
- 2020
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Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1, s. 3353-
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Tidskriftsartikel (refereegranskat)abstract
- Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.
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| 3. |
- Chen, Hongjie, et al.
(författare)
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Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals
- 2021
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Ingår i: Human Genetics and Genomics Advances. - : Cell Press. - 2666-2477. ; 2:3
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Tidskriftsartikel (refereegranskat)abstract
- Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.
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| 4. |
- Saunders, Charlie N., et al.
(författare)
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Lack of association between modifiable exposures and glioma risk : a Mendelian randomization analysis
- 2020
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Ingår i: Neuro-Oncology. - : OXFORD UNIV PRESS INC. - 1522-8517 .- 1523-5866. ; 22:2, s. 207-215
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Forskningsöversikt (refereegranskat)abstract
- Background. The etiological basis of glioma is poorly understood. We have used genetic markers in a Mendelian randomization (MR) framework to examine if lifestyle, cardiometabolic, and inflammatory factors influence the risk of glioma. This methodology reduces bias from confounding and is not affected by reverse causation. Methods. We identified genetic instruments for 37 potentially modifiable risk factors and evaluated their association with glioma risk using data from a genome-wide association study of 12488 glioma patients and 18169 controls. We used the estimated odds ratio of glioma associated with each of the genetically defined traits to infer evidence for a causal relationship with the following exposures: Lifestyle and dietary factors-height, plasma insulin-like growth factor 1, blood carnitine, blood methionine, blood selenium, blood zinc, circulating adiponectin, circulating carotenoids, iron status, serum calcium, vitamins (A1, B12, B6, E, and 25-hydroxyvitamin D), fatty acid levels (monounsaturated, omega-3, and omega-6) and circulating fetuin-A; Cardiometabolic factors-birth weight, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, total triglycerides, basal metabolic rate, body fat percentage, body mass index, fasting glucose, fasting proinsulin, glycated hemoglobin levels, diastolic and systolic blood pressure, waist circumference, waist-to-hip ratio; and Inflammatory factors- C-reactive protein, plasma interleukin-6 receptor subunit alpha and serum immunoglobulin E. Results. After correction for the testing of multiple potential risk factors and excluding associations driven by one single nucleotide polymorphism, no significant association with glioma risk was observed (ie, P-Corrected > 0.05). Conclusions. This study did not provide evidence supporting any of the 37 factors examined as having a significant influence on glioma risk.
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| 5. |
- Jensen, S., et al.
(författare)
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Distinct trajectories of long-term symptom severity in pediatric obsessive-compulsive disorder during and after stepped-care treatment
- 2020
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Ingår i: Journal of Child Psychology and Psychiatry. - : Wiley. - 0021-9630 .- 1469-7610. ; 61:9, s. 969-978
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Tidskriftsartikel (refereegranskat)abstract
- Background First-line treatments for pediatric obsessive-compulsive disorder (OCD) include exposure-based cognitive-behavioral therapy (CBT) and selective serotonin reuptake inhibitors (SSRIs). No studies have thus far identified distinct classes and associated predictors of long-term symptom severity during and after treatment. Yet, these could form the basis for more personalized treatment in pediatric OCD. Method The study included 269 OCD patients aged 7-17 years from the Nordic Long-term OCD Treatment Study (NordLOTS). All participants received stepped-care treatment starting with 14 weekly sessions of manualized CBT. Nonresponders were randomized to either prolonged CBT or SSRIs. Symptom severity was assessed using the Children's Yale-Brown Obsessive-Compulsive Scale at seven time points from pre- to post-treatment and over a three-year follow-up. Latent class growth analysis (LCGA) was performed to identify latent classes of symptom severity trajectories. Univariate and multivariate analyses were used to detect differences between classes and identify predictors of trajectory class membership including several clinical and demographic variables. Trial registry: Nordic Long-term Obsessive-Compulsive Disorder (OCD) Treatment Study; ; ISRCTN66385119. Results Three LCGA classes were identified: (a) acute, sustained responders (54.6%); (b) slow, continued responders (23.4%); and (c) limited long-term responders (21.9%). Class membership was predicted by distinct baseline characteristics pertaining to age, gender, symptom presentation, insight, avoidance, and comorbidity. Conclusions The LCGA suggests three distinct trajectory classes of long-term symptom severity during and after treatment in pediatric OCD with different clinical profiles at pretreatment. The results point to required clinical attention for adolescent patients with contamination/cleaning symptoms and reduced insight who do not show convincing responses to first-line treatment even though they may have reached the established cutoff for treatment response.
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| 6. |
- Jensen, S., et al.
(författare)
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Quality of life in pediatric patients with obsessive-compulsive disorder during and 3 years after stepped-care treatment
- 2022
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Ingår i: European Child & Adolescent Psychiatry. - : Springer Science and Business Media LLC. - 1018-8827 .- 1435-165X. ; 31:9, s. 1377-1389
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Tidskriftsartikel (refereegranskat)abstract
- The present study aimed to investigate the long-term quality of life (QoL) in a large sample of pediatric obsessive-compulsive disorder (OCD) patients. The study included 220 pediatric OCD patients from the Nordic Long-term OCD Treatment Study (NordLOTS) who were evaluated at seven time points before, during, and after stepped-care treatment over a 3-year follow-up period. Data from three symptom severity trajectory classes formed the basis of the QoL evaluation: acute (n = 127, N = 147), slow (n = 46, N = 63), and limited responders (n = 47, N = 59). Patients' QoL was assessed using parent and child ratings of the revised Questionnaire for Measuring Health-related Quality of Life in Children and Adolescents (KINDL-R). QoL was analyzed by trajectory class using a random mixed effects model. The association between pre-treatment factors and long-term QoL was investigated across classes in a multivariate model. Three years after treatment, the acute responder class had reached QoL levels from a general population, whereas the limited responder class had not. The slow responder class reached norm levels for the child-rated QoL only. Higher levels of co-occurring externalizing symptoms before treatment were associated with lower parent-rated QoL during follow-up, while adolescence and higher levels of co-occurring internalizing symptoms were associated with lower child-rated QoL during follow-up. For some patients, residual OCD symptoms in the years after treatment, even at levels below assumed clinical significance, are associated with compromised QoL. Co-occurring symptoms could be part of the explanation. Assessing QoL after OCD treatment, beyond the clinician-rated symptom severity, could detect patients in need of further treatment and/or assessment. Trial registry: Nordic Long-term Obsessive-Compulsive Disorder (OCD) Treatment Study; ; ISRCTN66385119.
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| 7. |
- Olafsdottir, P., et al.
(författare)
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Body Dysmorphic Symptoms in Youth with Obsessive-compulsive Disorder: Prevalence, Clinical Correlates, and Cognitive Behavioral Therapy Outcome
- 2022
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Ingår i: Child Psychiatry & Human Development. - : Springer Science and Business Media LLC. - 0009-398X .- 1573-3327. ; 54:4, s. 939-48
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Tidskriftsartikel (refereegranskat)abstract
- The aims of the study were to estimate the prevalence of body dysmorphic symptoms in a sample of children and adolescents with obsessive-compulsive disorder, possible clinical correlates and whether BDD symptoms predict poorer treatment outcomes after cognitive behavioral therapy. The study included 269 children and adolescents with OCD, aged 7-17 years, from Denmark, Sweden, and Norway, who were treated with 14 weekly sessions of manualized, exposure-based CBT. Twenty-one patients (7.8%) had BDD symptoms. BDD symptoms were associated with older age (p = 0.003) and a higher prevalence of comorbid anxiety disorders (p = 0.025). In addition, patients with BDD symptoms endorsed a greater number of OCD symptoms than did those without BDD symptoms. Having symptoms of BDD did not affect the CBT outcome on OCD. The results of the study suggest that CBT for OCD is equally effective for those with and without comorbid BDD symptoms.
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| 8. |
- Ostrom, Quinn T., et al.
(författare)
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Glioma risk associated with extent of estimated European genetic ancestry in African Americans and Hispanics
- 2020
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Ingår i: International Journal of Cancer. - : John Wiley & Sons. - 0020-7136 .- 1097-0215. ; 146:3, s. 739-748
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Tidskriftsartikel (refereegranskat)abstract
- Glioma incidence is highest in non-Hispanic Whites, and to date, glioma genome-wide association studies (GWAS) to date have only included European ancestry (EA) populations. African Americans and Hispanics in the US have varying proportions of EA, African (AA) and Native American ancestries (NAA). It is unknown if identified GWAS loci or increased EA is associated with increased glioma risk. We assessed whether EA was associated with glioma in African Americans and Hispanics. Data were obtained for 832 cases and 675 controls from the Glioma International Case-Control Study and GliomaSE Case-Control Study previously estimated to have <80% EA, or self-identify as non-White. We estimated global and local ancestry using fastStructure and RFMix, respectively, using 1,000 genomes project reference populations. Within groups with >= 40% AA (AFR(>= 0.4)), and >= 15% NAA (AMR(>= 0.15)), genome-wide association between local EA and glioma was evaluated using logistic regression conditioned on global EA for all gliomas. We identified two regions (7q21.11, p = 6.36 x 10(-4); 11p11.12, p = 7.0 x 10-4) associated with increased EA, and one associated with decreased EA (20p12.13, p = 0.0026) in AFR(>= 0.4). In addition, we identified a peak at rs1620291 (p = 4.36 x 10(-6)) in 7q21.3. Among AMR(>= 0.15), we found an association between increased EA in one region (12q24.21, p = 8.38 x 10(-4)), and decreased EA in two regions (8q24.21, p = 0. 0010; 20q13.33, p = 6.36 x 10(-4)). No other significant associations were identified. This analysis identified an association between glioma and two regions previously identified in EA populations (8q24.21, 20q13.33) and four novel regions (7q21.11, 11p11.12, 12q24.21 and 20p12.13). The identifications of novel association with EA suggest regions to target for future genetic association studies. What's new? Glioma is rare in non-White populations, and most glioma genome-wide association studies have included only primarily European ancestry populations. Here, the authors assess whether variation in European ancestry is associated with glioma risk in populations with a combination of European, African and Native American ancestry. Based on African American and Hispanic cases from two large glioma case-control studies, this analysis shows that increased European ancestry in admixed populations may be associated with increased glioma risk. The associations between glioma and two chromosomal regions previously identified in European ancestry populations, and four novel regions, may guide future studies.
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| 9. |
- Lundy, Bronwen, et al.
(författare)
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Screening for Low Energy Availability in Male Athletes : Attempted Validation of LEAM-Q
- 2022
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Ingår i: Nutrients. - : MDPI. - 2072-6643. ; 14:9
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Tidskriftsartikel (refereegranskat)abstract
- A questionnaire-based screening tool for male athletes at risk of low energy availability (LEA) could facilitate both research and clinical practice. The present options rely on proxies for LEA such screening tools for disordered eating, exercise dependence, or those validated in female athlete populations. in which the female-specific sections are excluded. To overcome these limitations and support progress in understanding LEA in males, centres in Australia, Norway, Denmark, and Sweden collaborated to develop a screening tool (LEAM-Q) based on clinical investigations of elite and sub-elite male athletes from multiple countries and ethnicities, and a variety of endurance and weight-sensitive sports. A bank of questions was developed from previously validated questionnaires and expert opinion on various clinical markers of LEA in athletic or eating disorder populations, dizziness, thermoregulation, gastrointestinal symptoms, injury, illness, wellbeing, recovery, sleep and sex drive. The validation process covered reliability, content validity, a multivariate analysis of associations between variable responses and clinical markers, and Receiver Operating Characteristics (ROC) curve analysis of variables, with the inclusion threshold being set at 60% sensitivity. Comparison of the scores of the retained questionnaire variables between subjects classified as cases or controls based on clinical markers of LEA revealed an internal consistency and reliability of 0.71. Scores for sleep and thermoregulation were not associated with any clinical marker and were excluded from any further analysis. Of the remaining variables, dizziness, illness, fatigue, and sex drive had sufficient sensitivity to be retained in the questionnaire, but only low sex drive was able to distinguish between LEA cases and controls and was associated with perturbations in key clinical markers and questionnaire responses. In summary, in this large and international cohort, low sex drive was the most effective self-reported symptom in identifying male athletes requiring further clinical assessment for LEA.
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| 10. |
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