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Sun M, Yang H, Hu Y, Fan J, Duan M, Ruan J, Li S, Xu Y, Han Y. Differential white blood cell count and epigenetic clocks: a bidirectional Mendelian randomization study. Clin Epigenetics 2024; 16:118. [PMID: 39192327 DOI: 10.1186/s13148-024-01717-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/25/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Human aging and white blood cell (WBC) count are complex traits influenced by multiple genetic factors. Predictors of chronological age have been developed using epigenetic clocks. However, the bidirectional causal effects between epigenetic clocks and WBC count have not been fully examined. METHODS This study employed Mendelian randomization (MR) to analyze summary statistics from four epigenetic clocks involving 34,710 participants, alongside data from the Blood Cell Consortium encompassing 563,946 individuals. We primarily explored bidirectional causal relationships using the random-effects inverse-variance weighted method, supplemented by additional MR methods for comprehensive analysis. Additionally, multivariate MR was applied to investigate independent effects of WBC count on epigenetic age acceleration. RESULTS In the two-sample univariate MR (UVMR) analysis, we observed that a decrease in lymphocyte count markedly accelerated aging according to the PhenoAge, GrimAge, and HannumAge metrics (all P < 0.01, β < 0), though it did not affect Intrinsic Epigenetic Age Acceleration (IEAA). Conversely, an increase in neutrophil count significantly elevated PhenoAge levels (β: 0.38; 95% CI 0.14, 0.61; P = 1.65E-03 < 0.01). Reverse MR revealed no significant causal impacts of epigenetic clocks on overall WBC counts. Furthermore, in multivariate MR, the impact of lymphocyte counts on epigenetic aging metrics remained statistically significant. We also identified a marked causal association between neutrophil counts and PhenoAge, GrimAge, and HannumAge, with respective results showing strong associations (PhenoAge β: 0.78; 95% CI 0.47, 1.09; P = 8.26E-07; GrimAge β: 0.55; 95% CI 0.31, 0.79; P = 5.50E-06; HannumAge β: 0.42; 95% CI 0.18, 0.67; P = 6.30E-04). Likewise, eosinophil cell count demonstrated significant association with HannumAge (β: 0.33; 95% CI 0.13, 0.53; P = 1.43E-03 < 0.01). CONCLUSION These findings demonstrated that within WBCs, lymphocyte and neutrophil counts exert irreversible and independent causal effects on the acceleration of PhenoAge, GrimAge, and HannumAge. Our findings highlight the critical role of WBCs in influencing epigenetic clocks and underscore the importance of considering immune parameters when interpreting epigenetic age.
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Affiliation(s)
- Manli Sun
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Huan Yang
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Yang Hu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jiaqi Fan
- College of Public Health, Harbin Medical University, Harbin, China
| | - Mingjing Duan
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Jingqi Ruan
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Shichang Li
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Yang Xu
- Drug Clinical Trail Center, The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China
| | - Yue Han
- The Second Hospital of Heilongjiang Province, 209 Jiangdu Street, Harbin, China.
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Leung PBM, Liu Z, Zhong Y, Tubbs JD, Di Forti M, Murray RM, So HC, Sham PC, Lui SSY. Bidirectional two-sample Mendelian randomization study of differential white blood cell counts and schizophrenia. Brain Behav Immun 2024; 118:22-30. [PMID: 38355025 DOI: 10.1016/j.bbi.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 01/15/2024] [Accepted: 02/08/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Schizophrenia and white blood cell counts (WBC) are both complex and polygenic traits. Previous evidence suggests that increased WBC are associated with higher all-cause mortality, and other studies have found elevated WBC in first-episode psychosis and chronic schizophrenia. However, these observational findings may be confounded by antipsychotic exposures and their effects on WBC. Mendelian randomization (MR) is a useful method for examining the directions of genetically-predicted relationships between schizophrenia and WBC. METHODS We performed a two-sample MR using summary statistics from genome-wide association studies (GWAS) conducted by the Psychiatric Genomics Consortium Schizophrenia Workgroup (N = 130,644) and the Blood Cell Consortium (N = 563,946). The MR methods included inverse variance weighted (IVW), MR Egger, weighted median, MR-PRESSO, contamination mixture, and a novel approach called mixture model reciprocal causal inference (MRCI). False discovery rate was employed to correct for multiple testing. RESULTS Multiple MR methods supported bidirectional genetically-predicted relationships between lymphocyte count and schizophrenia: IVW (b = 0.026; FDR p-value = 0.008), MR Egger (b = 0.026; FDR p-value = 0.008), weighted median (b = 0.013; FDR p-value = 0.049), and MR-PRESSO (b = 0.014; FDR p-value = 0.010) in the forward direction, and IVW (OR = 1.100; FDR p-value = 0.021), MR Egger (OR = 1.231; FDR p-value < 0.001), weighted median (OR = 1.136; FDR p-value = 0.006) and MRCI (OR = 1.260; FDR p-value = 0.026) in the reverse direction. MR Egger (OR = 1.171; FDR p-value < 0.001) and MRCI (OR = 1.154; FDR p-value = 0.026) both suggested genetically-predicted eosinophil count is associated with schizophrenia, but MR Egger (b = 0.060; FDR p-value = 0.010) and contamination mixture (b = -0.013; FDR p-value = 0.045) gave ambiguous results on whether genetically predicted liability to schizophrenia would be associated with eosinophil count. MR Egger (b = 0.044; FDR p-value = 0.010) and MR-PRESSO (b = 0.009; FDR p-value = 0.045) supported genetically predicted liability to schizophrenia is associated with elevated monocyte count, and the opposite direction was also indicated by MR Egger (OR = 1.231; FDR p-value = 0.045). Lastly, unidirectional genetic liability from schizophrenia to neutrophil count were proposed by MR-PRESSO (b = 0.011; FDR p-value = 0.028) and contamination mixture (b = 0.011; FDR p-value = 0.045) method. CONCLUSION This MR study utilised multiple MR methods to obtain results suggesting bidirectional genetic genetically-predicted relationships for elevated lymphocyte counts and schizophrenia risk. In addition, moderate evidence also showed bidirectional genetically-predicted relationships between schizophrenia and monocyte counts, and unidirectional effect from genetic liability for eosinophil count to schizophrenia and from genetic liability for schizophrenia to neutrophil count. The influence of schizophrenia to eosinophil count is less certain. Our findings support the role of WBC in schizophrenia and concur with the hypothesis of neuroinflammation in schizophrenia.
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Affiliation(s)
- Perry B M Leung
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Zipeng Liu
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Centre for Child Health, Guangzhou, China
| | - Yuanxin Zhong
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Justin D Tubbs
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Marta Di Forti
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region; Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region.
| | - Pak C Sham
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region.
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
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Constantinescu AE, Hughes DA, Bull CJ, Fleming K, Mitchell RE, Zheng J, Kar S, Timpson NJ, Amulic B, Vincent EE. A genome-wide association study of neutrophil count in individuals associated to an African continental ancestry group facilitates studies of malaria pathogenesis. Hum Genomics 2024; 18:26. [PMID: 38491524 PMCID: PMC10941368 DOI: 10.1186/s40246-024-00585-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/12/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND 'Benign ethnic neutropenia' (BEN) is a heritable condition characterized by lower neutrophil counts, predominantly observed in individuals of African ancestry, and the genetic basis of BEN remains a subject of extensive research. In this study, we aimed to dissect the genetic architecture underlying neutrophil count variation through a linear-mixed model genome-wide association study (GWAS) in a population of African ancestry (N = 5976). Malaria caused by P. falciparum imposes a tremendous public health burden on people living in sub-Saharan Africa. Individuals living in malaria endemic regions often have a reduced circulating neutrophil count due to BEN, raising the possibility that reduced neutrophil counts modulate severity of malaria in susceptible populations. As a follow-up, we tested this hypothesis by conducting a Mendelian randomization (MR) analysis of neutrophil counts on severe malaria (MalariaGEN, N = 17,056). RESULTS We carried out a GWAS of neutrophil count in individuals associated to an African continental ancestry group within UK Biobank, identifying 73 loci (r2 = 0.1) and 10 index SNPs (GCTA-COJO loci) associated with neutrophil count, including previously unknown rare loci regulating neutrophil count in a non-European population. BOLT-LMM was reliable when conducted in a non-European population, and additional covariates added to the model did not largely alter the results of the top loci or index SNPs. The two-sample bi-directional MR analysis between neutrophil count and severe malaria showed the greatest evidence for an effect between neutrophil count and severe anaemia, although the confidence intervals crossed the null. CONCLUSION Our GWAS of neutrophil count revealed unique loci present in individuals of African ancestry. We note that a small sample-size reduced our power to identify variants with low allele frequencies and/or low effect sizes in our GWAS. Our work highlights the need for conducting large-scale biobank studies in Africa and for further exploring the link between neutrophils and severe malaria.
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Affiliation(s)
- Andrei-Emil Constantinescu
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- School of Translational Health Sciences, University of Bristol, Bristol, UK
| | - David A Hughes
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- Louisiana State University, Louisiana, USA
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- School of Translational Health Sciences, University of Bristol, Bristol, UK
- Health Data Research UK, London, UK
| | - Kathryn Fleming
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | - Ruth E Mitchell
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases, National Health Commission, Shanghai, People's Republic of China
- Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- Early Cancer Insitute, University of Cambridge, Cambridge, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Borko Amulic
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
| | - Emma E Vincent
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
- School of Translational Health Sciences, University of Bristol, Bristol, UK.
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4
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Marrella MA, Biase FH. Robust identification of regulatory variants (eQTLs) using a differential expression framework developed for RNA-sequencing. J Anim Sci Biotechnol 2023; 14:62. [PMID: 37143150 PMCID: PMC10161580 DOI: 10.1186/s40104-023-00861-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/05/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND A gap currently exists between genetic variants and the underlying cell and tissue biology of a trait, and expression quantitative trait loci (eQTL) studies provide important information to help close that gap. However, two concerns that arise with eQTL analyses using RNA-sequencing data are normalization of data across samples and the data not following a normal distribution. Multiple pipelines have been suggested to address this. For instance, the most recent analysis of the human and farm Genotype-Tissue Expression (GTEx) project proposes using trimmed means of M-values (TMM) to normalize the data followed by an inverse normal transformation. RESULTS In this study, we reasoned that eQTL analysis could be carried out using the same framework used for differential gene expression (DGE), which uses a negative binomial model, a statistical test feasible for count data. Using the GTEx framework, we identified 35 significant eQTLs (P < 5 × 10-8) following the ANOVA model and 39 significant eQTLs (P < 5 × 10-8) following the additive model. Using a differential gene expression framework, we identified 930 and six significant eQTLs (P < 5 × 10-8) following an analytical framework equivalent to the ANOVA and additive model, respectively. When we compared the two approaches, there was no overlap of significant eQTLs between the two frameworks. Because we defined specific contrasts, we identified trans eQTLs that more closely resembled what we expect from genetic variants showing complete dominance between alleles. Yet, these were not identified by the GTEx framework. CONCLUSIONS Our results show that transforming RNA-sequencing data to fit a normal distribution prior to eQTL analysis is not required when the DGE framework is employed. Our proposed approach detected biologically relevant variants that otherwise would not have been identified due to data transformation to fit a normal distribution.
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Affiliation(s)
- Mackenzie A Marrella
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Fernando H Biase
- School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
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Miao J, Guo H, Song G, Zhao Z, Hou L, Lu Q. Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics. Nat Commun 2023; 14:832. [PMID: 36788230 PMCID: PMC9929290 DOI: 10.1038/s41467-023-36544-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of Europeans are known to have substantially reduced predictive accuracy in non-European populations, limiting their clinical utility and raising concerns about health disparities across ancestral populations. Here, we introduce a statistical framework named X-Wing to improve predictive performance in ancestrally diverse populations. X-Wing quantifies local genetic correlations for complex traits between populations, employs an annotation-dependent estimation procedure to amplify correlated genetic effects between populations, and combines multiple population-specific PRS into a unified score with GWAS summary statistics alone as input. Through extensive benchmarking, we demonstrate that X-Wing pinpoints portable genetic effects and substantially improves PRS performance in non-European populations, showing 14.1%-119.1% relative gain in predictive R2 compared to state-of-the-art methods based on GWAS summary statistics. Overall, X-Wing addresses critical limitations in existing approaches and may have broad applications in cross-population polygenic risk prediction.
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Affiliation(s)
- Jiacheng Miao
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Hanmin Guo
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China
| | - Gefei Song
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Zijie Zhao
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Lin Hou
- Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China.
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, 100084, China.
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, 53706, USA.
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Ghosh P, Campos VJ, Vo DT, Guccione C, Goheen-Holland V, Tindle C, Mazzini GS, He Y, Alexandrov LB, Lippman SM, Gurski RR, Das S, Yadlapati R, Curtius K, Sahoo D. AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas. JCI Insight 2022; 7:e161334. [PMID: 36134663 PMCID: PMC9675486 DOI: 10.1172/jci.insight.161334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022] Open
Abstract
Although Barrett's metaplasia of the esophagus (BE) is the only known precursor lesion to esophageal adenocarcinomas (EACs), drivers of cellular transformation in BE remain incompletely understood. We use an artificial intelligence-guided network approach to study EAC initiation and progression. Key predictions are subsequently validated in a human organoid model, in patient-derived biopsy specimens of BE, a case-control study of genomics of BE progression, and in a cross-sectional study of 113 patients with BE and EACs. Our model classified healthy esophagus from BE and BE from EACs in several publicly available gene expression data sets (n = 932 samples). The model confirmed that all EACs must originate from BE and pinpointed a CXCL8/IL8↔neutrophil immune microenvironment as a driver of cellular transformation in EACs and gastroesophageal junction adenocarcinomas. This driver is prominent in White individuals but is notably absent in African Americans (AAs). Network-derived gene signatures, independent signatures of neutrophil processes, CXCL8/IL8 expression, and an absolute neutrophil count (ANC) are associated with risk of progression. SNPs associated with changes in ANC by ethnicity (e.g., benign ethnic neutropenia [BEN]) modify that risk. Findings define a racially influenced immunological basis for cell transformation and suggest that BEN in AAs may be a deterrent to BE→EAC progression.
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Affiliation(s)
- Pradipta Ghosh
- Department of Cellular and Molecular Medicine
- Department of Medicine
- HUMANOID Center of Research Excellence, and
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
| | - Vinicius J. Campos
- Department of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Caitlin Guccione
- Division of Biomedical Informatics, UCSD, La Jolla, California, USA
| | - Vanae Goheen-Holland
- Department of Cellular and Molecular Medicine
- HUMANOID Center of Research Excellence, and
| | - Courtney Tindle
- Department of Cellular and Molecular Medicine
- HUMANOID Center of Research Excellence, and
| | - Guilherme S. Mazzini
- Department of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program in Medicine, Surgical Scienceas, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Yudou He
- Department of Cellular and Molecular Medicine
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
| | - Ludmil B. Alexandrov
- Department of Cellular and Molecular Medicine
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
| | - Scott M. Lippman
- Department of Medicine
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
| | - Richard R. Gurski
- Department of Gastrointestinal Surgery, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program in Medicine, Surgical Scienceas, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Medical School of Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Soumita Das
- HUMANOID Center of Research Excellence, and
- Department of Pathology and
| | | | - Kit Curtius
- Department of Medicine
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
- Division of Biomedical Informatics, UCSD, La Jolla, California, USA
| | - Debashis Sahoo
- Moores Comprehensive Cancer Center, UCSD, La Jolla, California, USA
- Department of Pediatrics and
- Department of Computer Science and Engineering, Jacob’s School of Engineering, UCSD, California, La Jolla, USA
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Lee Y, Chen H, Chen W, Qi Q, Afshar M, Cai J, Daviglus ML, Thyagarajan B, North KE, London SJ, Boerwinkle E, Celedón JC, Kaplan RC, Yu B. Metabolomic Associations of Asthma in the Hispanic Community Health Study/Study of Latinos. Metabolites 2022; 12:metabo12040359. [PMID: 35448546 PMCID: PMC9028429 DOI: 10.3390/metabo12040359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/02/2022] [Accepted: 04/12/2022] [Indexed: 12/17/2022] Open
Abstract
Asthma disproportionally affects Hispanic and/or Latino backgrounds; however, the relation between circulating metabolites and asthma remains unclear. We conducted a cross-sectional study associating 640 individual serum metabolites, as well as twelve metabolite modules, with asthma in 3347 Hispanic/Latino background participants (514 asthmatics, 15.36%) from the Hispanic/Latino Community Health Study/Study of Latinos. Using survey logistic regression, per standard deviation (SD) increase in 1-arachidonoyl-GPA (20:4) was significantly associated with 32% high odds of asthma after accounting for clinical risk factors (p = 6.27 × 10−5), and per SD of the green module, constructed using weighted gene co-expression network, was suggestively associated with 25% high odds of asthma (p = 0.006). In the stratified analyses by sex and Hispanic and/or Latino backgrounds, the effect of 1-arachidonoyl-GPA (20:4) and the green module was predominantly observed in women (OR = 1.24 and 1.37, p < 0.001) and people of Cuban and Puerto-Rican backgrounds (OR = 1.25 and 1.27, p < 0.01). Mutations in Fatty Acid Desaturase 2 (FADS2) affected the levels of 1-arachidonoyl-GPA (20:4), and Mendelian Randomization analyses revealed that high genetically regulated 1-arachidonoyl-GPA (20:4) levels were associated with increased odds of asthma (p < 0.001). The findings reinforce a molecular basis for asthma etiology, and the potential causal effect of 1-arachidonoyl-GPA (20:4) on asthma provides an opportunity for future intervention.
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Affiliation(s)
- Yura Lee
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (Y.L.); (H.C.); (E.B.)
| | - Han Chen
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (Y.L.); (H.C.); (E.B.)
| | - Wei Chen
- Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15224, USA; (W.C.); (J.C.C.)
| | - Qibin Qi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Majid Afshar
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA; (M.A.); (R.C.K.)
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA;
| | - Martha L. Daviglus
- Institute of Minority Health Research, University of Illinois College of Medicine, Chicago, IL 60612, USA;
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, MMC 609, 420 Delaware Street, Minneapolis, MN 55455, USA;
| | - Kari E. North
- Department of Epidemiology and Carolina Center for Genome Sciences, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA;
| | - Stephanie J. London
- Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA;
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (Y.L.); (H.C.); (E.B.)
| | - Juan C. Celedón
- Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15224, USA; (W.C.); (J.C.C.)
- Division of Pulmonary Medicine, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA 15224, USA
| | - Robert C. Kaplan
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA; (M.A.); (R.C.K.)
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (Y.L.); (H.C.); (E.B.)
- Correspondence:
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8
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Agbayani CJ, Tucker JA, Nelson EL, Martinez F, Cortes H, Khoury D, Kain ZN, Lin C, Torno L, Fortier MA. Immunological and psychosocial functioning in parents of children with cancer. Support Care Cancer 2022; 30:3379-3388. [PMID: 34994860 PMCID: PMC9833860 DOI: 10.1007/s00520-021-06770-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/16/2021] [Indexed: 01/13/2023]
Abstract
PURPOSE Research has shown that parents of children with cancer exhibit an altered immune profile compared to parents of healthy children, reflective of increased susceptibility to illness. These parents are also at risk for poorer psychosocial outcomes and quality of life. The current study compares peripheral blood cell analyses and psychosocial self-reports from parents of children being treated for cancer (n = 21) to parents of healthy children (n = 30). METHODS A blood sample was drawn from parents to analyze immune profiles. Parents also completed the Perceived Stress Scale (PSS), Medical Outcomes Study Short Form-36 (MOS), and Patient-Reported Outcomes Measurement Information System Short Form v1.0 Emotional Distress-Anxiety 8a, and Emotional Distress-Depression 8a (PROMIS). Mann-Whitney U tests and independent samples t-tests were conducted to examine differences in outcomes between parent groups. RESULTS Parents of children with cancer exhibited higher monocyte percentages in their peripheral blood compared to peers with healthy children. Parents of children with cancer also reported poorer psychosocial outcomes: higher perceived stress, higher anxiety and depression symptoms, more role disability resulting from emotional problems, poorer general and mental health, and poorer social functioning. CONCLUSION These findings support research that has shown a direct effect of chronic stress on the immune system. Symptoms reported by parents of children with cancer indicate unmet psychosocial needs that could potentially affect long-term health. Given the central role of parents in their children's cancer care, it is compelling to address and work to improve parent immunological and psychosocial well-being.
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Affiliation(s)
- Crystle-Joie Agbayani
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA,Department of Psychological Science, University of California-Irvine, Irvine, CA, USA
| | - Jo A. Tucker
- Department of Medicine, Division of Hematology Oncology, University of California-Irvine, Irvine, CA, USA,Institute for Immunology, University of California-Irvine, Irvine, CA, USA
| | - Edward L. Nelson
- Department of Medicine, Division of Hematology Oncology, University of California-Irvine, Irvine, CA, USA,Institute for Immunology, University of California-Irvine, Irvine, CA, USA,NCI-Designated Chao Family Comprehensive Cancer Center, Irvine, CA, USA
| | - Freddy Martinez
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA
| | - Haydee Cortes
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA,Department of Anesthesiology & Perioperative Care, University of California-Irvine, Irvine, CA, USA
| | - Dina Khoury
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA,Department of Medicine, Division of Hematology Oncology, University of California-Irvine, Irvine, CA, USA
| | - Zeev N. Kain
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA,Department of Anesthesiology & Perioperative Care, University of California-Irvine, Irvine, CA, USA,Department of Pediatrics, CHOC, Orange, CA, USA,Child Study Center, School of Medicine, Yale University, New Haven, CT, USA
| | - Carol Lin
- Hyundai Cancer Institute, CHOC, Orange, CA, USA
| | | | - Michelle A Fortier
- UCI Center on Stress and Health, School of Medicine, University of California-Irvine, Irvine, CA, USA,Department of Psychological Science, University of California-Irvine, Irvine, CA, USA,NCI-Designated Chao Family Comprehensive Cancer Center, Irvine, CA, USA,Department of Anesthesiology & Perioperative Care, University of California-Irvine, Irvine, CA, USA,Department of Psychology, CHOC, Orange, CA, USA,Sue & Bill Gross School of Nursing, University of California-Irvine, Irvine, CA, USA
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9
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Insights into the genetic architecture of haematological traits from deep phenotyping and whole-genome sequencing for two Mediterranean isolated populations. Sci Rep 2022; 12:1131. [PMID: 35064169 PMCID: PMC8782863 DOI: 10.1038/s41598-021-04436-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 12/06/2021] [Indexed: 11/08/2022] Open
Abstract
Haematological traits are linked to cardiovascular, metabolic, infectious and immune disorders, as well as cancer. Here, we examine the role of genetic variation in shaping haematological traits in two isolated Mediterranean populations. Using whole-genome sequencing data at 22× depth for 1457 individuals from Crete (MANOLIS) and 1617 from the Pomak villages in Greece, we carry out a genome-wide association scan for haematological traits using linear mixed models. We discover novel associations (p < 5 × 10–9) of five rare non-coding variants with alleles conferring effects of 1.44–2.63 units of standard deviation on red and white blood cell count, platelet and red cell distribution width. Moreover, 10.0% of individuals in the Pomak population and 6.8% in MANOLIS carry a pathogenic mutation in the Haemoglobin Subunit Beta (HBB) gene. The mutational spectrum is highly diverse (10 different mutations). The most frequent mutation in MANOLIS is the common Mediterranean variant IVS-I-110 (G>A) (rs35004220). In the Pomak population, c.364C>A (“HbO-Arab”, rs33946267) is most frequent (4.4% allele frequency). We demonstrate effects on haematological and other traits, including bilirubin, cholesterol, and, in MANOLIS, height and gestation age. We find less severe effects on red blood cell traits for HbS, HbO, and IVS-I-6 (T>C) compared to other b+ mutations. Overall, we uncover allelic diversity of HBB in Greek isolated populations and find an important role for additional rare variants outside of HBB.
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10
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Natri HM, Hudjashov G, Jacobs G, Kusuma P, Saag L, Darusallam CC, Metspalu M, Sudoyo H, Cox MP, Gallego Romero I, Banovich NE. Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with global and local ancestries. Am J Hum Genet 2022; 109:50-65. [PMID: 34919805 PMCID: PMC8764200 DOI: 10.1016/j.ajhg.2021.11.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/16/2021] [Indexed: 02/07/2023] Open
Abstract
Lack of diversity in human genomics limits our understanding of the genetic underpinnings of complex traits, hinders precision medicine, and contributes to health disparities. To map genetic effects on gene regulation in the underrepresented Indonesian population, we have integrated genotype, gene expression, and CpG methylation data from 115 participants across three island populations that capture the major sources of genomic diversity in the region. In a comparison with European datasets, we identify eQTLs shared between Indonesia and Europe as well as population-specific eQTLs that exhibit differences in allele frequencies and/or overall expression levels between populations. By combining local ancestry and archaic introgression inference with eQTLs and methylQTLs, we identify regulatory loci driven by modern Papuan ancestry as well as introgressed Denisovan and Neanderthal variation. GWAS colocalization connects QTLs detected here to hematological traits, and further comparison with European datasets reflects the poor overall transferability of GWAS statistics across diverse populations. Our findings illustrate how population-specific genetic architecture, local ancestry, and archaic introgression drive variation in gene regulation across genetically distinct and in admixed populations and highlight the need for performing association studies on non-European populations.
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Affiliation(s)
- Heini M Natri
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA; The Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Georgi Hudjashov
- Statistics and Bioinformatics Group, School of Fundamental Sciences, Massey University, Palmerston North 4410, New Zealand; Centre for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Guy Jacobs
- Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, University of Cambridge, Cambridge CB2 1QH, UK; Complexity Institute, Nanyang Technological University, Singapore, 637460
| | - Pradiptajati Kusuma
- Complexity Institute, Nanyang Technological University, Singapore, 637460; Laboratory of Genome Diversity and Disease, Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia
| | - Lauri Saag
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Chelzie Crenna Darusallam
- Laboratory of Genome Diversity and Disease, Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Herawati Sudoyo
- Laboratory of Genome Diversity and Disease, Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia
| | - Murray P Cox
- Statistics and Bioinformatics Group, School of Fundamental Sciences, Massey University, Palmerston North 4410, New Zealand
| | - Irene Gallego Romero
- Centre for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Melbourne Integrative Genomics, University of Melbourne, Parkville, VIC 3010, Australia; School of BioSciences, University of Melbourne, Parkville, VIC 3010, Australia; Centre for Stem Cell Systems, University of Melbourne, Parkville, VIC 3010, Australia
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11
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Wohlford EM, Huang PF, Elhawary JR, Millette LA, Contreras MG, Witonsky J, Holweg CTJ, Oh SS, Lee C, Merenda C, Rabin RL, Araojo R, Mak ACY, Eng CS, Hu D, Huntsman S, LeNoir MA, Rodríguez-Santana JR, Borrell LN, Burchard EG. Racial/ethnic differences in eligibility for asthma biologics among pediatric populations. J Allergy Clin Immunol 2021; 148:1324-1331.e12. [PMID: 34536416 PMCID: PMC9211042 DOI: 10.1016/j.jaci.2021.09.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/24/2021] [Accepted: 09/01/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Asthma is a heterogeneous disease. Clinical blood parameters differ by race/ethnicity and are used to distinguish asthma subtypes and inform therapies. Differences in subtypes may explain population-specific trends in asthma outcomes. However, these differences in racial/ethnic minority pediatric populations are unclear. OBJECTIVE We investigated the association of blood parameters and asthma subtypes with asthma outcomes and examined population-specific eligibility for biologic therapies in minority pediatric populations. METHODS Using data from 2 asthma case-control studies of pediatric minority populations, we performed case-control (N = 3738) and case-only (N = 2743) logistic regressions to quantify the association of blood parameters and asthma subtypes with asthma outcomes. Heterogeneity of these associations was tested using an interaction term between race/ethnicity and each exposure. Differences in therapeutic eligibility were investigated using chi-square tests. RESULTS Race/ethnicity modified the association between total IgE and asthma exacerbations. Elevated IgE level was associated with worse asthma outcomes in Puerto Ricans. Allergic asthma was associated with worse outcomes in Mexican Americans, whereas eosinophilic asthma was associated with worse outcomes in Puerto Ricans. A lower proportion of Puerto Ricans met dosing criteria for allergic asthma-directed biologic therapy than other groups. A higher proportion of Puerto Ricans qualified for eosinophilic asthma-directed biologic therapy than African Americans. CONCLUSIONS We found population-specific associations between blood parameters and asthma subtypes with asthma outcomes. Our findings suggest that eligibility for asthma biologic therapies differs across pediatric racial/ethnic populations. These findings call for more studies in diverse populations for equitable treatment of minority patients with asthma.
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Affiliation(s)
- Eric M Wohlford
- Division of Pediatric Allergy and Immunology, University of California San Francisco, San Francisco, Calif; Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Peter F Huang
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Jennifer R Elhawary
- Department of Medicine, University of California San Francisco, San Francisco, Calif.
| | | | - Maria G Contreras
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Jonathan Witonsky
- Division of Pediatric Allergy and Immunology, University of California San Francisco, San Francisco, Calif; Department of Medicine, University of California San Francisco, San Francisco, Calif
| | | | - Sam S Oh
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Christine Lee
- Office of Minority Health and Health Equity, US Food and Drug Administration, Silver Spring, Md
| | - Christine Merenda
- Office of Minority Health and Health Equity, US Food and Drug Administration, Silver Spring, Md
| | - Ronald L Rabin
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Md
| | - Richardae Araojo
- Office of Minority Health and Health Equity, US Food and Drug Administration, Silver Spring, Md
| | - Angel C Y Mak
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Celeste S Eng
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Scott Huntsman
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | | | | | - Luisa N Borrell
- Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, City University of New York, New York, NY
| | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, Calif; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, Calif
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12
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Pang J, Wang S, Liao L, Liu X. Association between systemic immune-inflammation index and neoadjuvant chemotherapy efficacy as well as prognosis in triple-negative breast cancer. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2021; 46:958-965. [PMID: 34707005 PMCID: PMC10930184 DOI: 10.11817/j.issn.1672-7347.2021.200951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with a relatively poor prognosis. Neoadjuvant chemotherapy (NAC) is the main treatment method. Due to the heterogeneity of the tumor, the chemotherapy response of TNBC patients is significantly different. Inflammation is closely related to the occurrence and development of cancer. The systemic immune-inflammation index (SII) is an indicator that can comprehensively reflect the state of systemic inflammation. This study aims to explore the association between SII and the NAC efficacy as well as the prognosis in TNBC. METHODS The data of TNBC patients who underwent NAC and systemic treatment in Xiangya Hospital of Central South University from January 2015 to June 2019 were collected. According to the inclusion and exclusion criteria, 231 TNBC patients were finally included. The pre-NAC SII was calculated according to the blood routine results of the patients at 1 week before chemotherapy, and the patients were divided into a pre-NAC low SII group (SII<412, 115 cases) and a pre-NAC high SII group (SII≥412, 116 cases). The SII after chemotherapy was calculated according to the blood routine results of the patients at 2 to 3 months after the end of chemotherapy, and the patients were divided into a low SII group after chemotherapy (SII<474, 115 cases) and a high SII group after chemotherapy (SII≥474, 116 cases). Pearson's chi-square test was used to analyze the relationship between SII and other clinical characteristics of TNBC patients, and the relationship between the NAC efficacy and clinical characteristics of TNBC patients. Binary logistic regression analysis was used to find independent factors that affect the efficacy of NAC in TNBC patients. Kaplan-Meier curve analysis was used to analyze factors affecting the prognosis of TNBC patients. Cox regression model was used to find independent factors affecting the prognosis of TNBC patients. RESULTS Before NAC, the differences in SII between groups with different ages and tumor sizes were significant (P=0.007 and P=0.002, respectively); after chemotherapy, there were no significant differences in SII between different ages, tumor sizes, histological grades, lymph node staging, and Ki-67 groups (all P>0.05). There were 115 patients with low SII before NAC, with a pathological complete response (pCR) rate of 15.7%; there were 116 patients with high SII before NAC, with a pCR rate of 6.0%. Patients with low SII before NAC had a higher pCR rate than patients with high SII before NAC, and the difference was statistically significant (P=0.019).There were 156 patients with lymph node staging pN0, with a pCR rate of 14.7%; and there were 75 patients with lymph node staging pN1-pN2, with a pCR rate of 2.7%. Patients with lymph node staging pN0 had a higher pCR rate than those with lymph node staging pN1-pN2, and the difference was significant (P=0.006). During the follow-up, 34 patients had local recurrence or distant metastasis. The Kaplan-Meier survival curve showed that the 3-year disease-free survival (DFS) rates for patients with low SII before NAC and high SII before NAC were 87.8% and 82.8%, respectively, and the former was significantly higher than the latter (P=0.005); the 3-year DFS rates for patients with tumor sizes of T1-T2 and T3 were 89.0% and 67.5%, respectively, and the former was significantly higher than the latter (P=0.001); the 3-year DFS rates for patients with lymph node staging of pN0 and pN1-pN2 were 87.8% and 82.8%, respectively, and the former was significantly higher than the latter (P=0.009). Cox analysis showed that SII before NAC and tumor size were independent influencing factors of patients' DFS (P=0.038, P=0.010, respectively). CONCLUSIONS SII has important clinical significance in predicting the efficacy and prognosis of NAC in TNBC patients, and it has the potential to be a biomarker.
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Affiliation(s)
- Jian Pang
- Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha 410011.
| | - Shouman Wang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Liqiu Liao
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiangyan Liu
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha 410008, China.
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13
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Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MP, Blackwell TW, Brody JA, Broome J, Chami N, Chen MH, Conomos MP, Cox C, Curran JE, Daya M, Ekunwe L, Glahn DC, Heard-Costa N, Highland HM, Hobbs BD, Ilboudo Y, Jain D, Lange LA, Miller-Fleming TW, Min N, Moon JY, Preuss MH, Rosen J, Ryan K, Smith AV, Sun Q, Surendran P, de Vries PS, Walter K, Wang Z, Wheeler M, Yanek LR, Zhong X, Abecasis GR, Almasy L, Barnes KC, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Chavan S, Cho MH, Choquet H, Correa A, Cox N, DeMeo DL, Faraday N, Fornage M, Gerszten RE, Hou L, Johnson AD, Jorgenson E, Kaplan R, Kooperberg C, Kundu K, Laurie CA, Lettre G, Lewis JP, Li B, Li Y, Lloyd-Jones DM, Loos RJF, Manichaikul A, Meyers DA, Mitchell BD, Morrison AC, Ngo D, Nickerson DA, Nongmaithem S, North KE, O'Connell JR, Ortega VE, Pankratz N, Perry JA, Psaty BM, Rich SS, Soranzo N, Rotter JI, Silverman EK, Smith NL, Tang H, Tracy RP, Thornton TA, Vasan RS, Zein J, Mathias RA, Reiner AP, Auer PL. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet 2021; 108:1836-1851. [PMID: 34582791 PMCID: PMC8546043 DOI: 10.1016/j.ajhg.2021.08.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 08/11/2021] [Indexed: 12/15/2022] Open
Abstract
Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.
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MESH Headings
- Asthma/epidemiology
- Asthma/genetics
- Asthma/metabolism
- Asthma/pathology
- Biomarkers/metabolism
- Dermatitis, Atopic/epidemiology
- Dermatitis, Atopic/genetics
- Dermatitis, Atopic/metabolism
- Dermatitis, Atopic/pathology
- Genetic Predisposition to Disease
- Genome, Human
- Genome-Wide Association Study
- Humans
- Leukocytes/pathology
- National Heart, Lung, and Blood Institute (U.S.)
- Phenotype
- Polymorphism, Single Nucleotide
- Prognosis
- Proteome/analysis
- Proteome/metabolism
- Pulmonary Disease, Chronic Obstructive/epidemiology
- Pulmonary Disease, Chronic Obstructive/genetics
- Pulmonary Disease, Chronic Obstructive/metabolism
- Pulmonary Disease, Chronic Obstructive/pathology
- Quantitative Trait Loci
- United Kingdom/epidemiology
- United States/epidemiology
- Whole Genome Sequencing
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Affiliation(s)
- Anna V Mikhaylova
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Caitlin P McHugh
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Linda M Polfus
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Thomas W Blackwell
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Corey Cox
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Lynette Ekunwe
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02155, USA
| | - Nancy Heard-Costa
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Yann Ilboudo
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Nancy Min
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Jonathon Rosen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kathleen Ryan
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Albert V Smith
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Klaudia Walter
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Marsha Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xue Zhong
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Goncalo R Abecasis
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Terri H Beaty
- School of Public Health, John Hopkins University, Baltimore, MD 21205, USA
| | - Lewis C Becker
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge CB1 8RN, UK
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94601, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Nancy Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | | | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kousik Kundu
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Guillaume Lettre
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Joshua P Lewis
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA
| | - Yun Li
- Departments of Biostatistics, Genetics, and Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Donald M Lloyd-Jones
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Debby Ngo
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Suraj Nongmaithem
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Victor E Ortega
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - James A Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB1 8RN, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98105, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Colchester, VT 05446, USA
| | - Timothy A Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA; Regeneron Genetics Center, Tarrytown, NY 10591, USA
| | - Ramachandran S Vasan
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Joe Zein
- Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alexander P Reiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin, Milwaukee, Milwaukee, WI 53205, USA.
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14
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Ekoru K, Adeyemo AA, Chen G, Doumatey AP, Zhou J, Bentley AR, Shriner D, Rotimi CN. Genetic risk scores for cardiometabolic traits in sub-Saharan African populations. Int J Epidemiol 2021; 50:1283-1296. [PMID: 33729508 DOI: 10.1093/ije/dyab046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 02/25/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND There is growing support for the use of genetic risk scores (GRS) in routine clinical settings. Due to the limited diversity of current genomic discovery samples, there are concerns that the predictive power of GRS will be limited in non-European ancestry populations. GRS for cardiometabolic traits were evaluated in sub-Saharan Africans in comparison with African Americans and European Americans. METHODS We evaluated the predictive utility of GRS for 12 cardiometabolic traits in sub-Saharan Africans (AF; n = 5200), African Americans (AA; n = 9139) and European Americans (EUR; n = 9594). GRS were constructed as weighted sums of the number of risk alleles. Predictive utility was assessed using the additional phenotypic variance explained and the increase in discriminatory ability over traditional risk factors [age, sex and body mass index (BMI)], with adjustment for ancestry-derived principal components. RESULTS Across all traits, GRS showed up to a 5-fold and 20-fold greater predictive utility in EUR relative to AA and AF, respectively. Predictive utility was most consistent for lipid traits, with percentage increase in explained variation attributable to GRS ranging from 10.6% to 127.1% among EUR, 26.6% to 65.8% among AA and 2.4% to 37.5% among AF. These differences were recapitulated in the discriminatory power, whereby the predictive utility of GRS was 4-fold greater in EUR relative to AA and up to 44-fold greater in EUR relative to AF. Obesity and blood pressure traits showed a similar pattern of greater predictive utility among EUR. CONCLUSIONS This work demonstrates the poorer performance of GRS in AF and highlights the need to improve representation of multiple ethnic populations in genomic studies to ensure equitable clinical translation of GRS.
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Affiliation(s)
- Kenneth Ekoru
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Tsetsos F, Yu D, Sul JH, Huang AY, Illmann C, Osiecki L, Darrow SM, Hirschtritt ME, Greenberg E, Muller-Vahl KR, Stuhrmann M, Dion Y, Rouleau GA, Aschauer H, Stamenkovic M, Schlögelhofer M, Sandor P, Barr CL, Grados MA, Singer HS, Nöthen MM, Hebebrand J, Hinney A, King RA, Fernandez TV, Barta C, Tarnok Z, Nagy P, Depienne C, Worbe Y, Hartmann A, Budman CL, Rizzo R, Lyon GJ, McMahon WM, Batterson JR, Cath DC, Malaty IA, Okun MS, Berlin C, Woods DW, Lee PC, Jankovic J, Robertson MM, Gilbert DL, Brown LW, Coffey BJ, Dietrich A, Hoekstra PJ, Kuperman S, Zinner SH, Wagner M, Knowles JA, Jeremy Willsey A, Tischfield JA, Heiman GA, Cox NJ, Freimer NB, Neale BM, Davis LK, Coppola G, Mathews CA, Scharf JM, Paschou P, Barr CL, Batterson JR, Berlin C, Budman CL, Cath DC, Coppola G, Cox NJ, Darrow S, Davis LK, Dion Y, Freimer NB, Grados MA, Greenberg E, Hirschtritt ME, Huang AY, Illmann C, King RA, Kurlan R, Leckman JF, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Neale BM, Okun MS, Osiecki L, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Singer HS, Smit JH, Sul JH, Yu D, Aschauer HAH, Barta C, Budman CL, Cath DC, Depienne C, Hartmann A, Hebebrand J, Konstantinidis A, Mathews CA, Müller-Vahl K, Nagy P, Nöthen MM, Paschou P, Rizzo R, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Stamenkovic M, Stuhrmann M, Tsetsos F, Tarnok Z, Wolanczyk T, Worbe Y, Brown L, Cheon KA, Coffey BJ, Dietrich A, Fernandez TV, Garcia-Delgar B, Gilbert D, Grice DE, Hagstrøm J, Hedderly T, Heiman GA, Heyman I, Hoekstra PJ, Huyser C, Kim YK, Kim YS, King RA, Koh YJ, Kook S, Kuperman S, Leventhal BL, Madruga-Garrido M, Mir P, Morer A, Münchau A, Plessen KJ, Roessner V, Shin EY, Song DH, Song J, Tischfield JA, Willsey AJ, Zinner S, Aschauer H, Barr CL, Barta C, Batterson JR, Berlin C, Brown L, Budman CL, Cath DC, Coffey BJ, Coppola G, Cox NJ, Darrow S, Davis LK, Depienne C, Dietrich A, Dion Y, Fernandez T, Freimer NB, Gilbert D, Grados MA, Greenberg E, Hartmann A, Hebebrand J, Heiman G, Hirschtritt ME, Hoekstra P, Huang AY, Illmann C, Jankovic J, King RA, Kuperman S, Lee PC, Lyon GJ, Malaty IA, Mathews CA, McMahon WM, Müller-Vahl K, Nagy P, Neale BM, Nöthen MM, Okun MS, Osiecki L, Paschou P, Rizzo R, Robertson MM, Rouleau GA, Sandor P, Scharf JM, Schlögelhofer M, Singer HS, Stamenkovic M, Stuhrmann M, Sul JH, Tarnok Z, Tischfield J, Tsetsos F, Willsey AJ, Woods D, Worbe Y, Yu D, Zinner S. Synaptic processes and immune-related pathways implicated in Tourette syndrome. Transl Psychiatry 2021; 11:56. [PMID: 33462189 PMCID: PMC7814139 DOI: 10.1038/s41398-020-01082-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/18/2020] [Accepted: 10/21/2020] [Indexed: 12/23/2022] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder of complex genetic architecture involving multiple interacting genes. Here, we sought to elucidate the pathways that underlie the neurobiology of the disorder through genome-wide analysis. We analyzed genome-wide genotypic data of 3581 individuals with TS and 7682 ancestry-matched controls and investigated associations of TS with sets of genes that are expressed in particular cell types and operate in specific neuronal and glial functions. We employed a self-contained, set-based association method (SBA) as well as a competitive gene set method (MAGMA) using individual-level genotype data to perform a comprehensive investigation of the biological background of TS. Our SBA analysis identified three significant gene sets after Bonferroni correction, implicating ligand-gated ion channel signaling, lymphocytic, and cell adhesion and transsynaptic signaling processes. MAGMA analysis further supported the involvement of the cell adhesion and trans-synaptic signaling gene set. The lymphocytic gene set was driven by variants in FLT3, raising an intriguing hypothesis for the involvement of a neuroinflammatory element in TS pathogenesis. The indications of involvement of ligand-gated ion channel signaling reinforce the role of GABA in TS, while the association of cell adhesion and trans-synaptic signaling gene set provides additional support for the role of adhesion molecules in neuropsychiatric disorders. This study reinforces previous findings but also provides new insights into the neurobiology of TS.
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Grants
- R01 NS102371 NINDS NIH HHS
- R01 NS096207 NINDS NIH HHS
- R01 NS096008 NINDS NIH HHS
- R01 MH115958 NIMH NIH HHS
- K08 MH099424 NIMH NIH HHS
- U24 NS095914 NINDS NIH HHS
- K02 NS085048 NINDS NIH HHS
- R01 MH115963 NIMH NIH HHS
- U01 HG009086 NHGRI NIH HHS
- R56 MH120736 NIMH NIH HHS
- U54 MD010722 NIMHD NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 DC016977 NIDCD NIH HHS
- R01 NS105746 NINDS NIH HHS
- R01 MH118233 NIMH NIH HHS
- DP2 HD098859 NICHD NIH HHS
- R01 MH115961 NIMH NIH HHS
- U24 MH068457 NIMH NIH HHS
- R25 NS108939 NINDS NIH HHS
- R01 MH114927 NIMH NIH HHS
- R01 NR014852 NINR NIH HHS
- R21 HG010652 NHGRI NIH HHS
- R01 MH113362 NIMH NIH HHS
- RM1 HG009034 NHGRI NIH HHS
- FT is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning» in the context of the project “Reinforcement of Postdoctoral Researchers - 2nd Cycle” (MIS-5033021), implemented by the State Scholarships Foundation (IKY)
- KMV has received financial or material research support from the EU (FP7-HEALTH-2011 No. 278367, FP7-PEOPLE-2012-ITN No. 316978), the German Research Foundation (DFG: GZ MU 1527/3-1), the German Ministry of Education and Research (BMBF: 01KG1421), the National Institute of Mental Health (NIMH), the Tourette Gesellschaft Deutschland e.V., the Else-Kroner-Fresenius-Stiftung, and GW, Almirall, Abide Therapeutics, and Therapix Biosiences and has received consultant’s honoraria from Abide Therapeutics, Tilray, Resalo Vertrieb GmbH, and Wayland Group, speaker’s fees from Tilray and Cogitando GmbH, and royalties from Medizinisch Wissenschaftliche Verlagsgesellschaft Berlin, Elsevier, and Kohlhammer; and is a consultant for Nuvelution TS Pharma Inc., Zynerba Pharmaceuticals, Resalo Vertrieb GmbH, CannaXan GmbH, Therapix Biosiences, Syqe, Nomovo Pharma, and Columbia Care.
- MMN has received fees for memberships in Scientific Advisory Boards from the Lundbeck Foundation and the Robert-Bosch-Stiftung, and for membership in the Medical-Scientific Editorial Office of the Deutsches Ärzteblatt. MMN was reimbursed travel expenses for a conference participation by Shire Deutschland GmbH. MMN receives salary payments from Life & Brain GmbH and holds shares in Life & Brain GmbH. All this concerned activities outside the submitted work.
- IM has participated in research funded by the Parkinson Foundation, Tourette Association, Dystonia Coalition, AbbVie, Biogen, Boston Scientific, Eli Lilly, Impax, Neuroderm, Prilenia, Revance, Teva but has no owner interest in any pharmaceutical company. She has received travel compensation or honoraria from the Tourette Association of America, Parkinson Foundation, International Association of Parkinsonism and Related Disorders, Medscape, and Cleveland Clinic, and royalties for writing a book with Robert rose publishers.
- MSO serves as a consultant for the Parkinson’s Foundation, and has received research grants from NIH, Parkinson’s Foundation, the Michael J. Fox Foundation, the Parkinson Alliance, Smallwood Foundation, the Bachmann-Strauss Foundation, the Tourette Syndrome Association, and the UF Foundation. MSO’s DBS research is supported by: NIH R01 NR014852 and R01NS096008. MSO is PI of the NIH R25NS108939 Training Grant. MSO has received royalties for publications with Demos, Manson, Amazon, Smashwords, Books4Patients, Perseus, Robert Rose, Oxford and Cambridge (movement disorders books). MSO is an associate editor for New England Journal of Medicine Journal Watch Neurology. MSO has participated in CME and educational activities on movement disorders sponsored by the Academy for Healthcare Learning, PeerView, Prime, QuantiaMD, WebMD/Medscape, Medicus, MedNet, Einstein, MedNet, Henry Stewart, American Academy of Neurology, Movement Disorders Society and by Vanderbilt University. The institution and not MSO receives grants from Medtronic, Abbvie, Boston Scientific, Abbott and Allergan and the PI has no financial interest in these grants. MSO has participated as a site PI and/or co-I for several NIH, foundation, and industry sponsored trials over the years but has not received honoraria. Research projects at the University of Florida receive device and drug donations.
- DW receives royalties for books on Tourette Syndrome with Guilford Press, Oxford University Press, and Springer Press.
- BMN is a member of the scientific advisory board at Deep Genomics and consultant for Camp4 Therapeutics, Takeda Pharmaceutical and Biogen.
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Affiliation(s)
- Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Sabrina M Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Kirsten R Muller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | | | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | | | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Douglas W Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Donald L Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | | | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel H Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Michael Wagner
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | | | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Overlook Hospital, Summit, NJ, USA
| | - James F Leckman
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jan H Smit
- Department of Psychiatry, VU UniversityMedical Center, Amsterdam, The Netherlands
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Harald Aschauer Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Anastasios Konstantinidis
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Center for Mental Health Muldenstrasse, BBRZMed, Linz, Austria
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Tomasz Wolanczyk
- Department of Child Psychiatry, Medical University of Warsaw, 00-001, Warsaw, Poland
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keun-Ah Cheon
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Thomas V Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Blanca Garcia-Delgar
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic Universitari, Barcelona, Spain
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Dorothy E Grice
- Department of Psychiatry, Friedman Brain Institute, Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Hagstrøm
- Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark
| | - Tammy Hedderly
- Tic and Neurodevelopmental Movements Service (TANDeM), Evelina Children's Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK
- Paediatric Neurosciences, Kings College London, London, UK
| | - Gary A Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Isobel Heyman
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Psychological and Mental Health Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Chaim Huyser
- De Bascule, Academic Centre for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | | | - Young-Shin Kim
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yun-Joo Koh
- The Korea Institute for Children's Social Development, Rudolph Child Research Center, Seoul, South Korea
| | - Sodahm Kook
- Kangbuk Samsung Hospital, Seoul, South Korea
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Bennett L Leventhal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Marcos Madruga-Garrido
- Sección de Neuropediatría, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Kerstin J Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Lausanne, Switzerland
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav CarusTU Dresden, Dresden, Germany
| | - Eun-Young Shin
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Dong-Ho Song
- Yonsei University College of Medicine, Yonsei Yoo & Kim Mental Health Clinic, Seoul, South Korea
| | - Jungeun Song
- National Health Insurance Service Ilsan Hospital, Goyang-Si, South Korea
| | - Jay A Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Harald Aschauer
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
- Biopsychosocial Corporation, Vienna, Austria
| | - Cathy L Barr
- Krembil Research Institute, University Health Network, Hospital for Sick Children, and University of Toronto, Toronto, Canada
| | - Csaba Barta
- Institute of Medical Chemistry, Molecular Biology, and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | | | - Cheston Berlin
- Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Lawrence Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cathy L Budman
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Danielle C Cath
- Department of Psychiatry, University Medical Center Groningen and Rijksuniversity Groningen, and Drenthe Mental Health Center, Groningen, the Netherlands
| | - Barbara J Coffey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabrina Darrow
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lea K Davis
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christel Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yves Dion
- McGill University Health Center, University of Montreal, McGill University Health Centre, Montreal, Canada
| | - Thomas Fernandez
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nelson B Freimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Donald Gilbert
- Division of Pediatric Neurology, Cincinnati Children's Hospital Medical Center; Department of Pediatrics, University of Cincinnati, Cincinnati, USA
| | - Marco A Grados
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Erica Greenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andreas Hartmann
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Gary Heiman
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Matthew E Hirschtritt
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Pieter Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alden Y Huang
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
| | - Cornelia Illmann
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Robert A King
- Yale Child Study Center and the Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Paul C Lee
- Tripler Army Medical Center and University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Gholson J Lyon
- Jervis Clinic, NYS Institute for Basic Research in Developmental Disabilities (IBR), Staten Island, NY, USA
| | - Irene A Malaty
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Carol A Mathews
- Department of Psychiatry, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - William M McMahon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Kirsten Müller-Vahl
- Clinic of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Peter Nagy
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Benjamin M Neale
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University Hospital Bonn, University of Bonn Medical School, Bonn, Germany
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Lisa Osiecki
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Renata Rizzo
- Child Neuropsychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Mary M Robertson
- Division of Psychiatry, Department of Neuropsychiatry, University College London, London, UK
| | - Guy A Rouleau
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Paul Sandor
- University Health Network, Youthdale Treatment Centres, and University of Toronto, Toronto, Canada
| | - Jeremiah M Scharf
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, and the Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Harvey S Singer
- Johns Hopkins University School of Medicine and the Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mara Stamenkovic
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Vienna, Austria
| | - Manfred Stuhrmann
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Jae Hoon Sul
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Zsanett Tarnok
- Vadaskert Child and Adolescent Psychiatric Hospital, Budapest, Hungary
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, the State University of New Jersey, Piscataway, NJ, USA
| | - Fotis Tsetsos
- Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - A Jeremy Willsey
- Institute for Neurodegenerative Diseases, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Douglas Woods
- Marquette University and University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Yulia Worbe
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, CNRS UMR 7225, ICM, Paris, France
- French Reference Centre for Gilles de la Tourette Syndrome, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique-Hôpitaux de Paris, Department of Neurology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
- Assistance Publique Hôpitaux de Paris, Hopital Saint Antoine, Paris, France
| | - Dongmei Yu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Zinner
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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16
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Yao Y, Yang J, Qin Q, Tang C, Li Z, Chen L, Li K, Ren C, Chen L, Rao S. Functional annotation of genetic associations by transcriptome-wide association analysis provides insights into neutrophil development regulation. Commun Biol 2020; 3:790. [PMID: 33340029 PMCID: PMC7749173 DOI: 10.1038/s42003-020-01527-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 11/22/2020] [Indexed: 12/26/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified multiple genomic loci linked to blood cell traits, however understanding the biological relevance of these genetic loci has proven to be challenging. Here, we performed a transcriptome-wide association study (TWAS) integrating gene expression and splice junction usage in neutrophils (N = 196) with a neutrophil count GWAS (N = 173,480 individuals). We identified a total of 174 TWAS-significant genes enriched in target genes of master transcription factors governing neutrophil specification. Knockout of a TWAS candidate at chromosome 5q13.2, TAF9, in CD34+ hematopoietic and progenitor cells (HSPCs) using CRISPR/Cas9 technology showed a significant effect on neutrophil production in vitro. In addition, we identified 89 unique genes significant only for splice junction usage, thus emphasizing the importance of alternative splicing beyond gene expression underlying granulopoiesis. Our results highlight the advantages of TWAS, followed by gene editing, to determine the functions of GWAS loci implicated in hematopoiesis.
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Affiliation(s)
- Yao Yao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Medicine, West China Second Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China.,School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jia Yang
- Department of Dermatology, University of Californian San Francisco, San Francisco, CA, 94110, USA
| | - Qian Qin
- Molecular Pathology Unit, Center for Cancer Research, Center for Computational and Integrative Biology, Massachusetts General Hospital, Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA
| | - Chao Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Medicine, West China Second Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China
| | - Zhidan Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Medicine, West China Second Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China
| | - Li Chen
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Medicine, West China Second Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China
| | - Kailong Li
- Children's Medical Center Research Institute, Department of Pediatrics, Harold C. Simmons Comprehensive Cancer Center, Hamon Center for Regenerative Science and Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Chunyan Ren
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Lu Chen
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Medicine, West China Second Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, Sichuan University, Chengdu, China.
| | - Shuquan Rao
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
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17
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Abstract
The absolute basophil count (cells/L) can be determined by manual counting of peripheral blood smears or using cell counting chambers as well as by automated hematology analyzers and fluorescence flow cytometry. Manual basophil counting of peripheral blood smears is currently regarded as the reference method, although the limitations of this method (distribution, observer, and statistical errors) are widely recognized. Automated hematology analyzers offer an advantage of larger numbers of counted cells and high throughput but are characterized by inconsistent analytical performance for basophil enumeration. Flow cytometric enumeration of circulating basophils using panels of monoclonal antibodies is being developed as novel candidate reference method for the absolute basophil count in peripheral blood. Basophil counting using fluorescence flow cytometry is characterized by high precision and statistical superiority. Emerging innovative technologies for absolute cell counts include imaging flow cytometry, mass cytometry, and on-chip blood counting, but their analytical performance for absolute basophil counts is yet to be established. Here, we describe various techniques for absolute basophil counting in peripheral blood including manual basophil counts in smears and hemocytometers and flow cytometric methodologies using double-platform, bead-based, and volumetric approaches.
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18
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FLT3 stop mutation increases FLT3 ligand level and risk of autoimmune thyroid disease. Nature 2020; 584:619-623. [PMID: 32581359 DOI: 10.1038/s41586-020-2436-0] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/08/2020] [Indexed: 02/08/2023]
Abstract
Autoimmune thyroid disease is the most common autoimmune disease and is highly heritable1. Here, by using a genome-wide association study of 30,234 cases and 725,172 controls from Iceland and the UK Biobank, we find 99 sequence variants at 93 loci, of which 84 variants are previously unreported2-7. A low-frequency (1.36%) intronic variant in FLT3 (rs76428106-C) has the largest effect on risk of autoimmune thyroid disease (odds ratio (OR) = 1.46, P = 2.37 × 10-24). rs76428106-C is also associated with systemic lupus erythematosus (OR = 1.90, P = 6.46 × 10-4), rheumatoid factor and/or anti-CCP-positive rheumatoid arthritis (OR = 1.41, P = 4.31 × 10-4) and coeliac disease (OR = 1.62, P = 1.20 × 10-4). FLT3 encodes fms-related tyrosine kinase 3, a receptor that regulates haematopoietic progenitor and dendritic cells. RNA sequencing revealed that rs76428106-C generates a cryptic splice site, which introduces a stop codon in 30% of transcripts that are predicted to encode a truncated protein, which lacks its tyrosine kinase domains. Each copy of rs76428106-C doubles the plasma levels of the FTL3 ligand. Activating somatic mutations in FLT3 are associated with acute myeloid leukaemia8 with a poor prognosis and rs76428106-C also predisposes individuals to acute myeloid leukaemia (OR = 1.90, P = 5.40 × 10-3). Thus, a predicted loss-of-function germline mutation in FLT3 causes a reduction in full-length FLT3, with a compensatory increase in the levels of its ligand and an increased disease risk, similar to that of a gain-of-function mutation.
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19
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Yang W, Zhao S, Liu D, Su G, Zhang D, Lagui, Deng Y, Guan X. Establishment of Reference Intervals for Blood Cell Analysis of Adult Tibetan Farmers and Herdsmen Over 4100 Meters Above Sea Level in Tibet Based on a Health Survey. High Alt Med Biol 2020; 21:223-231. [PMID: 32498572 DOI: 10.1089/ham.2020.0006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Yang, Wei, Song Zhao, Dan Liu, Guangming Su, Dongwei Zhang, Gui La, Yu Deng, Pian Ni, and Xiuru Guan. Establishment of reference intervals for blood cell analysis of adult Tibetan farmers and herdsmen over 4100 meters above sea level in Tibet based on a health survey. High Alt Med Biol. 21:223-231, 2020. Background: High altitude has substantial influence on reference intervals (RIs) for blood cell analysis. However, the currently used RIs for blood cell analysis in China have not been investigated in people from high-altitude areas, which may potentially cause confusion regarding disease diagnosis and treatment of Tibetan farmers and herdsmen from high-altitude areas. Therefore, it is necessary to establish blood cell analysis RIs that are suitable for people in high-altitude areas. Methods: In total, 1145 healthy Tibetan farmers and herdsmen were recruited who have lived at an altitude from 4100 to 5280 m in Kangma, Tibet, for a long time. The C28-A3 guideline from the Clinical and Laboratory Standards Institute was used to establish the RIs for hemoglobin (HGB) concentrations and red blood cell (RBC), white blood cell (WBC), and platelet (PLT) counts from the blood results of Tibetan participants. Results: There were significant gender differences in blood cell RIs for Tibetan farmers and herdsmen who lived above 4100 m above sea level in Kangma, Tibet. Compared with currently used RIs in China, RIs for HGB concentrations and RBCs in Kangma were significantly higher, whereas WBCs were similar and PLT count was lower. Conclusions: The currently used RIs in China may not be applicable to adult Tibetan farmers and herdsmen above 4100 m in Tibet. The newly obtained RIs can supplement the currently used RIs.
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Affiliation(s)
- Wei Yang
- Department of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Song Zhao
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Dan Liu
- Department of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Guangming Su
- Department of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Dongwei Zhang
- Department of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
| | - Lagui
- Departments of Medical Treatment, The Kangma County Hospital, Tibet, P.R. China
| | - Yu Deng
- Departments of Medical Treatment, The Kangma County Hospital, Tibet, P.R. China
| | - Xiuru Guan
- Department of Laboratory Diagnostics, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China
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20
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Lin SH, Loftfield E, Sampson JN, Zhou W, Yeager M, Freedman ND, Chanock SJ, Machiela MJ. Mosaic chromosome Y loss is associated with alterations in blood cell counts in UK Biobank men. Sci Rep 2020; 10:3655. [PMID: 32108144 PMCID: PMC7046668 DOI: 10.1038/s41598-020-59963-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 02/04/2020] [Indexed: 12/31/2022] Open
Abstract
Mosaic loss of Y chromosome (mLOY) is the most frequently detected somatic copy number alteration in leukocytes of men. In this study, we investigate blood cell counts as a potential mechanism linking mLOY to disease risk in 206,353 UK males. Associations between mLOY, detected by genotyping arrays, and blood cell counts were assessed by multivariable linear models adjusted for relevant risk factors. Among the participants, mLOY was detected in 39,809 men. We observed associations between mLOY and reduced erythrocyte count (−0.009 [−0.014, −0.005] × 1012 cells/L, p = 2.75 × 10−5) and elevated thrombocyte count (5.523 [4.862, 6.183] × 109 cells/L, p = 2.32 × 10−60) and leukocyte count (0.218 [0.198, 0.239] × 109 cells/L, p = 9.22 × 10−95), particularly for neutrophil count (0.174 × [0.158, 0.190]109 cells/L, p = 1.24 × 10−99) and monocyte count (0.021 [0.018 to 0.024] × 109 cells/L, p = 6.93 × 10−57), but lymphocyte count was less consistent (0.016 [0.007, 0.025] × 109 cells/L, p = 8.52 × 10−4). Stratified analyses indicate these associations are independent of the effects of aging and smoking. Our findings provide population-based evidence for associations between mLOY and blood cell counts that should stimulate investigation of the underlying biological mechanisms linking mLOY to cancer and chronic disease risk.
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Affiliation(s)
- Shu-Hong Lin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA
| | - Josh N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 9609 Medical Center Drive MSC 9776, Bethesda, Maryland, 20892, USA.
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21
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Kowalski MH, Qian H, Hou Z, Rosen JD, Tapia AL, Shan Y, Jain D, Argos M, Arnett DK, Avery C, Barnes KC, Becker LC, Bien SA, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Buyske S, Cai J, Cho MH, Choi SH, Choquet H, Cupples LA, Cushman M, Daya M, de Vries PS, Ellinor PT, Faraday N, Fornage M, Gabriel S, Ganesh SK, Graff M, Gupta N, He J, Heckbert SR, Hidalgo B, Hodonsky CJ, Irvin MR, Johnson AD, Jorgenson E, Kaplan R, Kardia SLR, Kelly TN, Kooperberg C, Lasky-Su JA, Loos RJF, Lubitz SA, Mathias RA, McHugh CP, Montgomery C, Moon JY, Morrison AC, Palmer ND, Pankratz N, Papanicolaou GJ, Peralta JM, Peyser PA, Rich SS, Rotter JI, Silverman EK, Smith JA, Smith NL, Taylor KD, Thornton TA, Tiwari HK, Tracy RP, Wang T, Weiss ST, Weng LC, Wiggins KL, Wilson JG, Yanek LR, Zöllner S, North KE, Auer PL, Raffield LM, Reiner AP, Li Y. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. PLoS Genet 2019; 15:e1008500. [PMID: 31869403 PMCID: PMC6953885 DOI: 10.1371/journal.pgen.1008500] [Citation(s) in RCA: 158] [Impact Index Per Article: 31.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 01/10/2020] [Accepted: 10/30/2019] [Indexed: 01/10/2023] Open
Abstract
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count <10 (including singletons) in the imputation target samples, average information content rescued was >86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.
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Affiliation(s)
- Madeline H. Kowalski
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Huijun Qian
- Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Ziyi Hou
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jonathan D. Rosen
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Amanda L. Tapia
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Yue Shan
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Maria Argos
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, Kentucky, United States of America
| | - Christy Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Kathleen C. Barnes
- Department of Medicine, Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, United States of America
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America
| | - Eric Boerwinkle
- Human Genome Sequencing Center, University of Texas Health Science Center at Houston; Baylor College of Medicine, Houston, Texas, United States of America
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Steve Buyske
- Department of Statistics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Seung Hoan Choi
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Mary Cushman
- Departments of Medicine & Pathology, Larner College of Medicine, University of Vermont, Colchester, Vermont, United States of America
| | - Michelle Daya
- Department of Medicine, Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, United States of America
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Patrick T. Ellinor
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Nauder Faraday
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Myriam Fornage
- School of Public Health, The University of Texas Health Science Center, Houston, Texas, United States of America
| | - Stacey Gabriel
- Genomics Platform, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Santhi K. Ganesh
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Misa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Namrata Gupta
- Genomics Platform, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America
| | - Bertha Hidalgo
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Chani J. Hodonsky
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Marguerite R. Irvin
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Andrew D. Johnson
- Framingham Heart Study, Framingham, Massachusetts, United States of America
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, Massachusetts, United States of America
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Jessica A. Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Steven A. Lubitz
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Caitlin P. McHugh
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Courtney Montgomery
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, United States of America
| | - Jee-Young Moon
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - George J. Papanicolaou
- National Heart, Lung, and Blood Institute, Division of Cardiovascular Sciences, PPSP/EB, NIH, Bethesda, Maryland, United States of America
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, United States of America
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, Washington, United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Hemant K. Tiwari
- Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Russell P. Tracy
- Departments of Pathology & Laboratory Medicine and Biochemistry, Larrner College of Medicine, University of Vermont, Colchester, Vermont, United States of America
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Scott T. Weiss
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Lu-Chen Weng
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Sebastian Zöllner
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center of Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Paul L. Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America
| | | | | | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Alexander P. Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States of America
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22
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Torres-Aguila NP, Carrera C, Giese AK, Cullell N, Muiño E, Cárcel-Márquez J, Gallego-Fabrega C, González-Sánchez J, Del Mar Freijo M, Álvarez-Sabín J, Molina C, Ribó M, Jimenez-Conde J, Roquer J, Sobrino T, Campos F, Castillo J, Muñoz-Narbona L, Lopez-Cancio E, Dàvalos A, Diaz-Navarro R, Tur S, Vives-Bauza C, Serrano-Heras G, Segura T, Krupinski J, Delgado-Mederos R, Martí-Fàbregas J, Heitsch L, Ibañez L, Cruchaga C, Rost NS, Montaner J, Lee JM, Fernandez-Cadenas I. Genome-Wide Association Study of White Blood Cell Counts in Patients With Ischemic Stroke. Stroke 2019; 50:3618-3621. [PMID: 31587654 DOI: 10.1161/strokeaha.119.026593] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background and Purpose- Immune cells play a key role in the first 24h poststroke (acute phase), being associated with stroke outcome. We aimed to find genetic risk factors associated with leukocyte counts during the acute phase of stroke. Methods- Ischemic stroke patients with leukocyte counts data during the first 24h were included. Genome-wide association study and gene expression studies were performed. Results- Our genome-wide association study, which included 2064 (Discovery) and 407 (Replication) patients, revealed a new locus (14q24.3) associated with leukocyte counts. After Joint analysis (n=2471) 5 more polymorphisms reached genome-wide significance (P<5×10-8). The 14q24.3 locus was associated with acute stroke outcome (rs112809786, P=0.036) and with ACOT1 and PTGR2 gene expression. Previous polymorphisms associated with leukocyte counts in general-population did not show any significance in our study. Conclusions- We have found the first locus associated with leukocyte counts in ischemic stroke, also associated with acute outcome. Genetic analysis of acute endophenotypes could be useful to find the genetic factors associated with stroke outcome. Our findings suggested a different modulation of immune cells in stroke compared with healthy conditions.
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Affiliation(s)
- Nuria P Torres-Aguila
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.).,Neurovascular Research Laboratory, Vall d'Hebron Research Institute, Barcelona, Spain (N.P.T.-A., C.C., J.M.)
| | - Caty Carrera
- Neurovascular Research Laboratory, Vall d'Hebron Research Institute, Barcelona, Spain (N.P.T.-A., C.C., J.M.)
| | - Anne-Katrine Giese
- Neurology Department, Massachusetts General Hospital, Boston (A.-K.G., N.S.R.)
| | - Natalia Cullell
- Stroke Pharmacogenomics and Genetics Laboratory, Fundació Mútua Terrasa, Hospital Universitari Mútua Terrassa, Spain (N.C., C.G.-F., J.G.-S.)
| | - Elena Muiño
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.)
| | - Jara Cárcel-Márquez
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.)
| | - Cristina Gallego-Fabrega
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.).,Stroke Pharmacogenomics and Genetics Laboratory, Fundació Mútua Terrasa, Hospital Universitari Mútua Terrassa, Spain (N.C., C.G.-F., J.G.-S.)
| | - Jonathan González-Sánchez
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.).,Stroke Pharmacogenomics and Genetics Laboratory, Fundació Mútua Terrasa, Hospital Universitari Mútua Terrassa, Spain (N.C., C.G.-F., J.G.-S.).,School of Healthcare Science, Manchester Metropolitan University, Manchester, United Kingdom (J.G.-S., J.K.)
| | | | - José Álvarez-Sabín
- Stroke Unit, Neurology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain (J.Á.-S., C.M., M.R.)
| | - Carlos Molina
- Stroke Unit, Neurology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain (J.Á.-S., C.M., M.R.)
| | - Marc Ribó
- Stroke Unit, Neurology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain (J.Á.-S., C.M., M.R.)
| | - Jordi Jimenez-Conde
- Neurology Department, Institut Hospital del Mar d'Investigacions Mèdiques-Hospital del Mar Barcelona, Spain (J.J.-C., J.R.).,Neurovascular Research Group, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain (J.J.-C., J.R.).,Universitat Autónoma de Barcelona/Departamento de Ciencias Experimentales y de la Salud, Universitat Pompeu Fabra, Barcelona, Spain (J.J.-C., J.R.)
| | - Jaume Roquer
- Neurology Department, Institut Hospital del Mar d'Investigacions Mèdiques-Hospital del Mar Barcelona, Spain (J.J.-C., J.R.).,Neurovascular Research Group, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain (J.J.-C., J.R.).,Universitat Autónoma de Barcelona/Departamento de Ciencias Experimentales y de la Salud, Universitat Pompeu Fabra, Barcelona, Spain (J.J.-C., J.R.)
| | - Tomás Sobrino
- Clinical Neurosciences Research Laboratory, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain (T.S., F.C., J.C.)
| | - Francisco Campos
- Clinical Neurosciences Research Laboratory, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain (T.S., F.C., J.C.)
| | - José Castillo
- Clinical Neurosciences Research Laboratory, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain (T.S., F.C., J.C.)
| | - Lucia Muñoz-Narbona
- Neurosciences Department, Hospital Germans Trias I Pujol-Universitat Autónoma de Barcelona, Barcelona, Spain (L.M.-N., A.D.)
| | - Elena Lopez-Cancio
- Stroke Unit, Hospital Universitario Central de Asturias, Oviedo, Spain (E.L.-C.)
| | - Antoni Dàvalos
- Neurosciences Department, Hospital Germans Trias I Pujol-Universitat Autónoma de Barcelona, Barcelona, Spain (L.M.-N., A.D.)
| | - Rosa Diaz-Navarro
- Neuroscience Laboratory, Fundació Institut d'Investigació Sanitària Illes Balears, Mallorca, Spain (R.D.-N., S.T., C.V.-B.)
| | - Silvia Tur
- Neuroscience Laboratory, Fundació Institut d'Investigació Sanitària Illes Balears, Mallorca, Spain (R.D.-N., S.T., C.V.-B.)
| | - Cristòfol Vives-Bauza
- Neuroscience Laboratory, Fundació Institut d'Investigació Sanitària Illes Balears, Mallorca, Spain (R.D.-N., S.T., C.V.-B.)
| | - Gemma Serrano-Heras
- Neurology Department, University Hospital of Albacete, Spain (G.S.-H., T.S.)
| | - Tomás Segura
- Neurology Department, University Hospital of Albacete, Spain (G.S.-H., T.S.)
| | - Jerzy Krupinski
- School of Healthcare Science, Manchester Metropolitan University, Manchester, United Kingdom (J.G.-S., J.K.).,Neurology Service, Hospital Universitari Mútua Terrassa, Spain (J.K.)
| | - Raquel Delgado-Mederos
- Stroke Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain (R.D.-M., J.M.-F.)
| | - Joan Martí-Fàbregas
- Stroke Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain (R.D.-M., J.M.-F.)
| | - Laura Heitsch
- Emergency Medicine (L.H.), Washington University School of Medicine, Saint Louis, MO.,Neurology Department (L.H., J.-M.L.), Washington University School of Medicine, Saint Louis, MO
| | - Laura Ibañez
- Psychiatry Department (L.I., C.C.), Washington University School of Medicine, Saint Louis, MO
| | - Carlos Cruchaga
- Psychiatry Department (L.I., C.C.), Washington University School of Medicine, Saint Louis, MO
| | - Natalia S Rost
- Neurology Department, Massachusetts General Hospital, Boston (A.-K.G., N.S.R.)
| | - Joan Montaner
- Neurovascular Research Laboratory, Vall d'Hebron Research Institute, Barcelona, Spain (N.P.T.-A., C.C., J.M.).,Stroke Research Program, Instituto de Biomedicina de Sevilla/Hospital Universitario Virgen del Rocío/Consejo Superior de Investigaciones Científicas/University of Seville (J.M.).,Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain (J.M.)
| | - Jin-Moo Lee
- Neurology Department (L.H., J.-M.L.), Washington University School of Medicine, Saint Louis, MO
| | - Israel Fernandez-Cadenas
- From the Stroke Pharmacogenomics and Genetics Laboratory, Hospital de la Santa Creu i Sant Pau Research Institute, Barcelona Spain (N.P.T.-A., E.M., J.C.-M., C.G.-F., J.G.-S., I.F.-C.)
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Grinde KE, Qi Q, Thornton TA, Liu S, Shadyab AH, Chan KHK, Reiner AP, Sofer T. Generalizing polygenic risk scores from Europeans to Hispanics/Latinos. Genet Epidemiol 2019; 43:50-62. [PMID: 30368908 PMCID: PMC6330129 DOI: 10.1002/gepi.22166] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 08/12/2018] [Accepted: 08/28/2018] [Indexed: 12/17/2022]
Abstract
Polygenic risk scores (PRSs) are weighted sums of risk allele counts of single-nucleotide polymorphisms (SNPs) associated with a disease or trait. PRSs are typically constructed based on published results from Genome-Wide Association Studies (GWASs), and the majority of which has been performed in large populations of European ancestry (EA) individuals. Although many genotype-trait associations have generalized across populations, the optimal choice of SNPs and weights for PRSs may differ between populations due to different linkage disequilibrium (LD) and allele frequency patterns. We compare various approaches for PRS construction, using GWAS results from both large EA studies and a smaller study in Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL, n = 12 , 803 ). We consider multiple approaches for selecting SNPs and for computing SNP weights. We study the performance of the resulting PRSs in an independent study of Hispanics/Latinos from the Women's Health Initiative (WHI, n = 3 , 582 ). We support our investigation with simulation studies of potential genetic architectures in a single locus. We observed that selecting variants based on EA GWASs generally performs well, except for blood pressure trait. However, the use of EA GWASs for weight estimation was suboptimal. Using non-EA GWAS results to estimate weights improved results.
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Affiliation(s)
- Kelsey E. Grinde
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Qibin Qi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Simin Liu
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Aladdin H. Shadyab
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
| | - Kei Hang K. Chan
- Department of Epidemiology, Brown University, Providence, RI, USA
- Departments of Biomedical Sciences and Electronic Engineering, City University of Hong Kong, HKSAR
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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24
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Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PACIFIC SYMPOSIUM ON BIOCOMPUTING. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2019; 24:296-307. [PMID: 30864331 PMCID: PMC6417797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Transcriptome-wide association studies (TWAS) have recently gained great attention due to their ability to prioritize complex trait-associated genes and promote potential therapeutics development for complex human diseases. TWAS integrates genotypic data with expression quantitative trait loci (eQTLs) to predict genetically regulated gene expression components and associates predictions with a trait of interest. As such, TWAS can prioritize genes whose differential expressions contribute to the trait of interest and provide mechanistic explanation of complex trait(s). Tissue-specific eQTL information grants TWAS the ability to perform association analysis on tissues whose gene expression profiles are otherwise hard to obtain, such as liver and heart. However, as eQTLs are tissue context-dependent, whether and how the tissue-specificity of eQTLs influences TWAS gene prioritization has not been fully investigated. In this study, we addressed this question by adopting two distinct TWAS methods, PrediXcan and UTMOST, which assume single tissue and integrative tissue effects of eQTLs, respectively. Thirty-eight baseline laboratory traits in 4,360 antiretroviral treatment-naïve individuals from the AIDS Clinical Trials Group (ACTG) studies comprised the input dataset for TWAS. We performed TWAS in a tissue-specific manner and obtained a total of 430 significant gene-trait associations (q-value < 0.05) across multiple tissues. Single tissue-based analysis by PrediXcan contributed 116 of the 430 associations including 64 unique gene-trait pairs in 28 tissues. Integrative tissue-based analysis by UTMOST found the other 314 significant associations that include 50 unique gene-trait pairs across all 44 tissues. Both analyses were able to replicate some associations identified in past variant-based genome-wide association studies (GWAS), such as high-density lipoprotein (HDL) and CETP (PrediXcan, q-value = 3.2e-16). Both analyses also identified novel associations. Moreover, single tissue-based and integrative tissuebased analysis shared 11 of 103 unique gene-trait pairs, for example, PSRC1-low-density lipoprotein (PrediXcan's lowest q-value = 8.5e-06; UTMOST's lowest q-value = 1.8e-05). This study suggests that single tissue-based analysis may have performed better at discovering gene-trait associations when combining results from all tissues. Integrative tissue-based analysis was better at prioritizing genes in multiple tissues and in trait-related tissue. Additional exploration is needed to confirm this conclusion. Finally, although single tissue-based and integrative tissue-based analysis shared significant novel discoveries, tissue context-dependency of eQTLs impacted TWAS gene prioritization. This study provides preliminary data to support continued work on tissue contextdependency of eQTL studies and TWAS.
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Bradbury C, Köttgen A, Staubach F. Off-target phenotypes in forensic DNA phenotyping and biogeographic ancestry inference: A resource. Forensic Sci Int Genet 2018; 38:93-104. [PMID: 30391626 DOI: 10.1016/j.fsigen.2018.10.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 08/27/2018] [Accepted: 10/13/2018] [Indexed: 01/04/2023]
Abstract
With recent advances in DNA sequencing technologies it has become feasible and cost effective to genotype larger marker sets for forensic purposes. Two technologies that make use of the larger marker sets have come into focus in forensic research and applications; inference of biogeographic ancestry (BGA) and forensic DNA phenotyping (FDP). These methods hold the promise to reveal information about a yet unknown perpetrator from a DNA sample. In contrast, DNA-profiling, that is a standard practice in case work, relies on matching DNA-profiles between crime scene material and suspects on a database of DNA-profiles. Markers for DNA-profiling were developed under the premise to reveal as little additional information about the human source of the profile as possible, the rationale being that personal privacy rights have to be balanced against the public interest in solving a crime. The same argument holds for markers used in BGA and FDP; these markers might also reveal information on off-target phenotypes (OTPs), that go beyond BGA and the phenotypes targeted in FDP. In particular, health related OTPs might shift the balance between privacy protection and public interest. However, to our knowledge, there is currently no convenient resource available to incorporate knowledge on OTPs in BGA and FDP assay design and application. In order to provide such a resource, we performed a systematic search for OTPs associated with a comprehensive set of markers (1766 SNPs) used or suggested to be used for BGA inference and FDP. In this set, we identified a relatively small number of 27 SNPs (1.53%) that convey information on diverse health related OTPs such as cancer risk, induced asthma, or risk of alcoholism. Some of these SNPs are commonly used for FDP and BGA across different marker sets. We conclude that the effects of SNP markers used in FDP and BGA on OTPs are currently limited, with few exceptions that should be considered in a balanced decision on assay design and application.
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Affiliation(s)
- Cedric Bradbury
- University College Freiburg, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Dept. of Biometry, Epidemiology and Medical Bioinformatics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Fabian Staubach
- Institute of Biology I, Dept. of Evolutionary Biology and Ecology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.
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Soares-Souza G, Borda V, Kehdy F, Tarazona-Santos E. Admixture, Genetics and Complex Diseases in Latin Americans and US Hispanics. CURRENT GENETIC MEDICINE REPORTS 2018. [DOI: 10.1007/s40142-018-0151-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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