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Dakhlan A, Adhianto K, Kurniawati D, Ermawati R, Doni Saputra T. Mapping Growth Hormone Gene of Body Weight Krui Cattle in Pesisir Barat Regency Lampung, Indonesia. Pak J Biol Sci 2022; 25:741-747. [PMID: 36098200 DOI: 10.3923/pjbs.2022.741.747] [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] [Indexed: 06/15/2023]
Abstract
<b>Background and Objective:</b> The growth hormone (GH) gene plays a role in meat growth and has been shown to increase the growth rate and carcass composition after being given GH. For this function, this gene is used as a strong candidate for genetic markers for meat growth traits. The research objective was to map the growth hormone (GH) gene of the bodyweight of Krui cattle in the Pesisir Barat Regency. <b>Materials and Methods:</b> This research used 30 blood samples of 30 Krui cattle. The method used was by taking quantitative data and blood samples from adult Krui cattle in Pesisir Barat Regency and then the blood samples were analyzed by DNA isolation method. PCR amplification used was a pair of GH-Forward primers: 5 'ATC CAC ACC CCC TCC ACA CAGT 3' and GH- reverse: 5 'CAT TTT CCA CCC TCC CCT ACA G 3', as well as digestion using the RFLP method at the Laboratory of Animal Breeding and Genetics of Universitas Gadjah Mada, Yogyakarta. Association between genotype and body weight was analyzed descriptively. <b>Results:</b> The results showed that Krui cattle had polymorphic genes with three genotypes found, namely: CC, CT and TT. Cattle with CT genotype had the largest average body weight or meat production compared to those with other genotypes. <b>Conclusion:</b> These results indicated that the GH gene identifier has strong evidence that it can be used as a selection tool with the help of genotypes of body weight traits of Krui meat production in the Pesisir Barat Regency. Krui cattle with CT genotype can be developed further because it has high economic value with high average body weight and meat production.
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Neto ABL, Vasconcelos NBR, Dos Santos TR, Duarte LEC, Assunção ML, de Sales-Marques C, Ferreira HDS. Prevalence of IGFBP3, NOS3 and TCF7L2 polymorphisms and their association with hypertension: a population-based study with Brazilian women of African descent. BMC Res Notes 2021; 14:186. [PMID: 34001234 PMCID: PMC8130172 DOI: 10.1186/s13104-021-05598-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 05/05/2021] [Indexed: 11/10/2022] Open
Abstract
Objective African ancestry seems to be a risk factor for hypertension; however, few genetic studies have addressed this issue. This study aimed to investigate the prevalence of polymorphisms NOS3; rs1799983, IGFBP3; rs11977526 and TCF7L2; rs7903146 in Brazilian women of African descent and their association with hypertension. Results The prevalences of the less frequent genotypes were 26.5% TT genotype of NOS3; rs1799983, 16.7% AA genotype of IGFBP3; rs11977526, and 18.3% TT genotype of TCF7L2; rs7903146. For these conditions, the prevalence of hypertension and PR (adjusted) relatively to the ancestral genotype were, respectively: 52.0% vs 24.5% (PR = 1.54; p < 0.001), 62.0% vs 24.1% (PR = 1.59; p < 0.001), and 38.9% vs 27.9% (PR = 0.86; p = 0.166). Associations with hypertension were statistically significant, except for the TCF7L2; rs7903146 polymorphism, after adjusted analysis. Brazilian Afro-descendant women with the TT genotype for the NOS3 gene and the AA genotype for the IGFBP3 gene are more susceptible to hypertension. The understanding of underlying mechanisms involving the pathogenesis of hypertension can motivate research for the development of new therapeutic targets related to nitric oxide metabolism and the management of oxidative stress. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-021-05598-5.
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Affiliation(s)
- Abel Barbosa Lira Neto
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil. .,, Rua Costa Gama, 1160, Caçimbas, Arapiraca, Alagoas, 57038-430, Brazil.
| | - Nancy Borges Rodrigues Vasconcelos
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
| | - Tamara Rodrigues Dos Santos
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
| | - Luisa Elvira Cavazzani Duarte
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
| | - Monica Lopes Assunção
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
| | - Carolinne de Sales-Marques
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
| | - Haroldo da Silva Ferreira
- Federal University of Alagoas, Institute of Biological and Health Sciences, Postgraduate Program in Health Sciences, Campus A.C. Simões, Highway BR 104 North, Tabuleiro Do Martins, Maceió, Alagoas, 57072-970, Brazil
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3
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Zhu J, Fan Q, Deng W, Wang Y, Guo X. BTOB: Extending the Biased GWAS to Bivariate GWAS. Front Genet 2021; 12:654821. [PMID: 34025719 PMCID: PMC8134661 DOI: 10.3389/fgene.2021.654821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 04/07/2021] [Indexed: 11/13/2022] Open
Abstract
In recent years, a number of literatures published large-scale genome-wide association studies (GWASs) for human diseases or traits while adjusting for other heritable covariate. However, it is known that these GWASs are biased, which may lead to biased genetic estimates or even false positives. In this study, we provide a method called "BTOB" which extends the biased GWAS to bivariate GWAS by integrating the summary association statistics from the biased GWAS and the GWAS for the adjusted heritable covariate. We employ the proposed BTOB method to analyze the summary association statistics from the large scale meta-GWASs for waist-to-hip ratio (WHR) and body mass index (BMI), and show that the proposed approach can help identify more susceptible genes compared with the corresponding univariate GWASs. Theoretical results and simulations also confirm the validity and efficiency of the proposed BTOB method.
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Affiliation(s)
- Junxian Zhu
- Department of Statistical Science, School of Mathematics, Sun Yat-sen University, Guangzhou, China
| | - Qiao Fan
- Center for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Wenying Deng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Yimeng Wang
- Department of Statistical Science, School of Mathematics, Sun Yat-sen University, Guangzhou, China
| | - Xiaobo Guo
- Department of Statistical Science, School of Mathematics, Sun Yat-sen University, Guangzhou, China
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4
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Wenric S, Jeff JM, Joseph T, Yee MC, Belbin GM, Owusu Obeng A, Ellis SB, Bottinger EP, Gottesman O, Levin MA, Kenny EE. Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry. THE PHARMACOGENOMICS JOURNAL 2021; 21:174-189. [PMID: 33168928 PMCID: PMC7997806 DOI: 10.1038/s41397-020-00194-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 08/21/2020] [Accepted: 10/05/2020] [Indexed: 11/10/2022]
Abstract
The emergence of genomic data in biobanks and health systems offers new ways to derive medically important phenotypes, including acute phenotypes occurring during inpatient clinical care. Here we study the genetic underpinnings of the rapid response to phenylephrine, an α1-adrenergic receptor agonist commonly used to treat hypotension during anesthesia and surgery. We quantified this response by extracting blood pressure (BP) measurements 5 min before and after the administration of phenylephrine. Based on this derived phenotype, we show that systematic differences exist between self-reported ancestry groups: European-Americans (EA; n = 1387) have a significantly higher systolic response to phenylephrine than African-Americans (AA; n = 1217) and Hispanic/Latinos (HA; n = 1713) (31.3% increase, p value < 6e-08 and 22.9% increase, p value < 5e-05 respectively), after adjusting for genetic ancestry, demographics, and relevant clinical covariates. We performed a genome-wide association study to investigate genetic factors underlying individual differences in this derived phenotype. We discovered genome-wide significant association signals in loci and genes previously associated with BP measured in ambulatory settings, and a general enrichment of association in these genes. Finally, we discovered two low frequency variants, present at ~1% in EAs and AAs, respectively, where patients carrying one copy of these variants show no phenylephrine response. This work demonstrates our ability to derive a quantitative phenotype suited for comparative statistics and genome-wide association studies from dense clinical and physiological measures captured for managing patients during surgery. We identify genetic variants underlying non response to phenylephrine, with implications for preemptive pharmacogenomic screening to improve safety during surgery.
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Affiliation(s)
- Stephane Wenric
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Janina M Jeff
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Joseph
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Muh-Ching Yee
- Stanford Functional Genomics Facility, Stanford, CA, USA
- Invitae Corporation, San Francisco, CA, USA
| | - Gillian M Belbin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aniwaa Owusu Obeng
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pharmacy Department, The Mount Sinai Hospital, New York, NY, USA
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen B Ellis
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erwin P Bottinger
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew A Levin
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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5
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Sinnott-Armstrong N, Naqvi S, Rivas M, Pritchard JK. GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background. eLife 2021; 10:e58615. [PMID: 33587031 PMCID: PMC7884075 DOI: 10.7554/elife.58615] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 01/18/2021] [Indexed: 12/30/2022] Open
Abstract
Genome-wide association studies (GWAS) have been used to study the genetic basis of a wide variety of complex diseases and other traits. We describe UK Biobank GWAS results for three molecular traits-urate, IGF-1, and testosterone-with better-understood biology than most other complex traits. We find that many of the most significant hits are readily interpretable. We observe huge enrichment of associations near genes involved in the relevant biosynthesis, transport, or signaling pathways. We show how GWAS data illuminate the biology of each trait, including differences in testosterone regulation between females and males. At the same time, even these molecular traits are highly polygenic, with many thousands of variants spread across the genome contributing to trait variance. In summary, for these three molecular traits we identify strong enrichment of signal in putative core gene sets, even while most of the SNP-based heritability is driven by a massively polygenic background.
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Affiliation(s)
| | - Sahin Naqvi
- Department of Genetics, Stanford UniversityStanfordUnited States
- Department of Chemical and Systems Biology, Stanford UniversityStanfordUnited States
| | - Manuel Rivas
- Department of Biomedical Data Sciences, Stanford UniversityStanfordUnited States
| | - Jonathan K Pritchard
- Department of Genetics, Stanford UniversityStanfordUnited States
- Department of Biology, Stanford UniversityStanfordUnited States
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6
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Liu G, Zhao H, Yan Z, Zhao S, Niu Y, Li X, Wang S, Yang Y, Liu S, Zhang TJ, Wu Z, Wu N. Whole-genome methylation analysis reveals novel epigenetic perturbations of congenital scoliosis. MOLECULAR THERAPY. NUCLEIC ACIDS 2021; 23:1281-1287. [PMID: 33717649 PMCID: PMC7907230 DOI: 10.1016/j.omtn.2021.02.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 02/05/2021] [Indexed: 11/24/2022]
Abstract
Congenital scoliosis (CS) is a congenital disease caused by malformations of vertebrae. Recent studies demonstrated that DNA modification could contribute to the pathogenesis of disease. This study aims to identify epigenetic perturbations that may contribute to the pathogenesis of CS. Four CS patients with hemivertebra were enrolled and underwent spine correction operations. DNA was extracted from the hemivertebrae and spinal process collected from the specimen during the hemivertebra resection. Genome-wide DNA methylation profiling was examined at base-pair resolution using whole-genome bisulfite sequencing (WGBS). We identified 343 genes with hyper-differentially methylated regions (DMRs) and 222 genes with hypo-DMRs, respectively. These genes were enriched in the mitogen-activated protein kinase (MAPK) signaling pathway, calcium signaling pathway, and axon guidance in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and were enriched in positive regulation of cell morphogenesis involved in differentiation, regulation of cell morphogenesis involved in differentiation, and regulation of neuron projection development in Biological Process of Gene Ontology (GO-BP) terms. Hyper-DMR-related genes, including IGHG1, IGHM, IGHG3, RNF213, and GSE1, and hypo DMR-related genes, including SORCS2, COL5A1, GRID1, RGS3, and ROBO2, may contribute to the pathogenesis of hemivertebra. The aberrant DNA methylation may be associated with the formation of hemivertebra and congenital scoliosis.
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Affiliation(s)
- Gang Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hengqiang Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zihui Yan
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
| | - Yuchen Niu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaoxin Li
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Shengru Wang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yang Yang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sen Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Terry Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhihong Wu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
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7
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Stankovic S, R. Day F, Zhao Y, Langenberg C, J. Wareham N, R. B. Perry J, K. Ong K. Elucidating the genetic architecture underlying IGF1 levels and its impact on genomic instability and cancer risk. Wellcome Open Res 2021. [DOI: 10.12688/wellcomeopenres.16417.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background: Insulin-like growth factor-1 (IGF1) has been implicated in mitogenic and anti-apoptotic mechanisms that promote susceptibility to cancer development and growth. Previous epidemiological studies have described phenotypic associations between higher circulating levels of IGF1 in adults with higher risks for breast, prostate, ovarian, colorectal, melanoma and lung cancers. However, such evidence is prone to confounding and reverse causality. Furthermore, it is unclear whether IGF1 promotes only the survival and proliferation of cancerous cells, or also the malignant transformation of healthy cells. Methods: We perform a genome-wide association study in 428,525 white European ancestry individuals in the UK Biobank study (UKBB) and identify 831 independent genetic determinants of circulating IGF1 levels, double the number previously reported. Results: Collectively these signals explain ~7.5% of the variance in circulating IGF1 levels in EPIC-Norfolk, with individuals in the highest 10% of genetic risk exhibiting ~1 SD higher levels than those in the lowest 10%. Using a Mendelian randomization approach, we demonstrate that genetically higher circulating IGF1 levels are associated with greater likelihood of mosaic loss of chromosome Y in leukocytes in men in UKBB (OR per +1 SD = 1.038 (95% CI: 1.010-1.067), P=0.008) and 23andMe, Inc. (P=6.8×10-05), a biomarker of genomic instability involved in early tumorigenesis. Genetically higher IGF1 is also associated with higher risks for colorectal (OR = 1.126 (1.048-1.210), P=1.3×10-03) and breast cancer (OR= 1.075 (1.048-1.103), P=3.9×10-08), with similar effects on estrogen positive (ER+) (OR = 1.069 (1.037-1.102), P=2.3×10-05) and estrogen negative (ER-) (OR = 1.074 (1.025-1.125), P=3.9×10-08) subtypes. Conclusions: These findings give an insight into the genetic regulation of circulating IGF1 levels and support a causal role for IGF1 in early tumorigenesis and risks for breast and colorectal cancers.
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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif Intell Med 2020; 110:101976. [PMID: 33250148 DOI: 10.1016/j.artmed.2020.101976] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 08/05/2020] [Accepted: 10/18/2020] [Indexed: 12/29/2022]
Abstract
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often involves metastasis with its consequent threat for patients. DNA methylation-derived databases have become an interesting primary source for supervised knowledge extraction regarding breast cancer. Unfortunately, the study of DNA methylation involves the processing of hundreds of thousands of features for every patient. DNA methylation is featured by High Dimension Low Sample Size which has shown well-known issues regarding feature selection and generation. Autoencoders (AEs) appear as a specific technique for conducting nonlinear feature fusion. Our main objective in this work is to design a procedure to summarize DNA methylation by taking advantage of AEs. Our proposal is able to generate new features from the values of CpG sites of patients with and without recurrence. Then, a limited set of relevant genes to characterize breast cancer recurrence is proposed by the application of survival analysis and a pondered ranking of genes according to the distribution of their CpG sites. To test our proposal we have selected a dataset from The Cancer Genome Atlas data portal and an AE with a single-hidden layer. The literature and enrichment analysis (based on genomic context and functional annotation) conducted regarding the genes obtained with our experiment confirmed that all of these genes were related to breast cancer recurrence.
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9
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Kerin M, Marchini J. Inferring Gene-by-Environment Interactions with a Bayesian Whole-Genome Regression Model. Am J Hum Genet 2020; 107:698-713. [PMID: 32888427 PMCID: PMC7536582 DOI: 10.1016/j.ajhg.2020.08.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 08/11/2020] [Indexed: 01/05/2023] Open
Abstract
The contribution of gene-by-environment (GxE) interactions for many human traits and diseases is poorly characterized. We propose a Bayesian whole-genome regression model for joint modeling of main genetic effects and GxE interactions in large-scale datasets, such as the UK Biobank, where many environmental variables have been measured. The method is called LEMMA (Linear Environment Mixed Model Analysis) and estimates a linear combination of environmental variables, called an environmental score (ES), that interacts with genetic markers throughout the genome. The ES provides a readily interpretable way to examine the combined effect of many environmental variables. The ES can be used both to estimate the proportion of phenotypic variance attributable to GxE effects and to test for GxE effects at genetic variants across the genome. GxE effects can induce heteroskedasticity in quantitative traits, and LEMMA accounts for this by using robust standard error estimates when testing for GxE effects. When applied to body mass index, systolic blood pressure, diastolic blood pressure, and pulse pressure in the UK Biobank, we estimate that 9.3%, 3.9%, 1.6%, and 12.5%, respectively, of phenotypic variance is explained by GxE interactions and that low-frequency variants explain most of this variance. We also identify three loci that interact with the estimated environmental scores (−log10p>7.3).
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10
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Bartell E, Fujimoto M, Khoury JC, Khoury PR, Vedantam S, Astley CM, Hirschhorn JN, Dauber A. Protein QTL analysis of IGF-I and its binding proteins provides insights into growth biology. Hum Mol Genet 2020; 29:2625-2636. [PMID: 32484228 PMCID: PMC7471503 DOI: 10.1093/hmg/ddaa103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/21/2020] [Accepted: 05/27/2020] [Indexed: 12/15/2022] Open
Abstract
The growth hormone and insulin-like growth factor (IGF) system is integral to human growth. Genome-wide association studies (GWAS) have identified variants associated with height and located near the genes in this pathway. However, mechanisms underlying these genetic associations are not understood. To investigate the regulation of the genes in this pathway and mechanisms by which regulation could affect growth, we performed GWAS of measured serum protein levels of IGF-I, IGF binding protein-3 (IGFBP-3), pregnancy-associated plasma protein A (PAPP-A2), IGF-II and IGFBP-5 in 838 children (3-18 years) from the Cincinnati Genomic Control Cohort. We identified variants associated with protein levels near IGFBP3 and IGFBP5 genes, which contain multiple signals of association with height and other skeletal growth phenotypes. Surprisingly, variants that associate with protein levels at these two loci do not colocalize with height associations, confirmed through conditional analysis. Rather, the IGFBP3 signal (associated with total IGFBP-3 and IGF-II levels) colocalizes with an association with sitting height ratio (SHR); the IGFBP5 signal (associated with IGFBP-5 levels) colocalizes with birth weight. Indeed, height-associated single nucleotide polymorphisms near genes encoding other proteins in this pathway are not associated with serum levels, possibly excluding PAPP-A2. Mendelian randomization supports a stronger causal relationship of measured serum levels with SHR (for IGFBP-3) and birth weight (for IGFBP-5) than with height. In conclusion, we begin to characterize the genetic regulation of serum levels of IGF-related proteins in childhood. Furthermore, our data strongly suggest the existence of growth-regulating mechanisms acting through IGF-related genes in ways that are not reflected in measured serum levels of the corresponding proteins.
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Affiliation(s)
- Eric Bartell
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Masanobu Fujimoto
- Division of Endocrinology, Cincinnati Center for Growth Disorders, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
- Division of Pediatrics and Perinatology, Tottori University Faculty of Medicine, Yonago, Tottori 683-8504, Japan
| | - Jane C Khoury
- Division of Endocrinology, Cincinnati Center for Growth Disorders, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Philip R Khoury
- Heart Institute Research Core, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Sailaja Vedantam
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Christina M Astley
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Joel N Hirschhorn
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew Dauber
- Division of Endocrinology, Children’s National Hospital, Washington, DC 20010, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
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11
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Malik AR, Lips J, Gorniak-Walas M, Broekaart DWM, Asaro A, Kuffner MTC, Hoffmann CJ, Kikhia M, Dopatka M, Boehm-Sturm P, Mueller S, Dirnagl U, Aronica E, Harms C, Willnow TE. SorCS2 facilitates release of endostatin from astrocytes and controls post-stroke angiogenesis. Glia 2020; 68:1304-1316. [PMID: 31898841 DOI: 10.1002/glia.23778] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 12/17/2019] [Accepted: 12/19/2019] [Indexed: 01/26/2023]
Abstract
SorCS2 is an intracellular sorting receptor of the VPS10P domain receptor gene family recently implicated in oxidative stress response. Here, we interrogated the relevance of stress-related activities of SorCS2 in the brain by exploring its role in ischemic stroke in mouse models and in patients. Although primarily seen in neurons in the healthy brain, expression of SorCS2 was massively induced in astrocytes surrounding the ischemic core in mice following stroke. Post-stroke induction was likely a result of increased levels of transforming growth factor β1 in damaged brain tissue, inducing Sorcs2 gene transcription in astrocytes but not neurons. Induced astrocytic expression of SorCS2 was also seen in stroke patients, substantiating the clinical relevance of this observation. In astrocytes in vitro and in the mouse brain in vivo, SorCS2 specifically controlled release of endostatin, a factor linked to post-stroke angiogenesis. The ability of astrocytes to release endostatin acutely after stroke was lost in mice deficient for SorCS2, resulting in a blunted endostatin response which coincided with impaired vascularization of the ischemic brain. Our findings identified activated astrocytes as a source for endostatin in modulation of post-stroke angiogenesis, and the importance of the sorting receptor SorCS2 in this brain stress response.
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Affiliation(s)
- Anna R Malik
- Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany.,Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Janet Lips
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Berlin Institute of Health, QUEST Centre for Transforming Biomedical Research, Berlin, Germany
| | | | - Diede W M Broekaart
- Amsterdam UMC, University of Amsterdam, Department of (Neuro) Pathology, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Antonino Asaro
- Max-Delbrueck-Center for Molecular Medicine, Berlin, Germany
| | - Melanie T C Kuffner
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany
| | - Christian J Hoffmann
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany
| | - Majed Kikhia
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
| | - Monika Dopatka
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany
| | - Philipp Boehm-Sturm
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Charité Core Facility 7T Experimental MRIs, Berlin, Germany
| | - Susanne Mueller
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Charité Core Facility 7T Experimental MRIs, Berlin, Germany
| | - Ulrich Dirnagl
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Berlin Institute of Health, QUEST Centre for Transforming Biomedical Research, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany.,German Centre for Neurodegenerative Diseases, Berlin, Germany
| | - Eleonora Aronica
- Amsterdam UMC, University of Amsterdam, Department of (Neuro) Pathology, Amsterdam Neuroscience, Amsterdam, the Netherlands.,Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - Christoph Harms
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.,Berlin Institute of Health, QUEST Centre for Transforming Biomedical Research, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
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12
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Shkurnikov M, Nikulin S, Nersisyan S, Poloznikov A, Zaidi S, Baranova A, Schumacher U, Wicklein D, Tonevitsky A. LAMA4-Regulating miR-4274 and Its Host Gene SORCS2 Play a Role in IGFBP6-Dependent Effects on Phenotype of Basal-Like Breast Cancer. Front Mol Biosci 2019; 6:122. [PMID: 31781574 PMCID: PMC6857517 DOI: 10.3389/fmolb.2019.00122] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 10/22/2019] [Indexed: 12/12/2022] Open
Abstract
Specificity of RNAi to selected target is challenged by off-target effects, both canonical and non-canonical. Notably, more than half of all human microRNAs are co-expressed with hosting them proteincoding genes. Here we dissect regulatory subnetwork centered on IGFBP6 gene, which is associated with low proliferative state and high migratory activity of basal-like breast cancer. We inhibited expression of IGFBP6 gene in a model cell line for basal-like breast carcinoma MDA-MB-231, then traced secondary and tertiary effects of this knockdown to LAMA4, a laminin encoding gene that contributes to the phenotype of triple-negative breast cancer. LAMA4-regulating miRNA miR-4274 and its host gene SORCS2 were highlighted as intermediate regulators of the expression levels of LAMA4, which correlated in a basal-like breast carcinoma sample subset of TCGA to the levels of SORCS2 negatively. Overall, our study points that the secondary and tertiary layers of regulatory interactions are certainly underappreciated. As these types of molecular event may significantly contribute to the formation of the cell phenotypes after RNA interference based knockdowns, further studies of multilayered molecular networks affected by RNAi are warranted.
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Affiliation(s)
- Maxim Shkurnikov
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninks, Russia
| | | | - Stepan Nersisyan
- Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, Russia
| | - Andrey Poloznikov
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninks, Russia.,Far Eastern Federal University, Vladivostok, Russia
| | - Shan Zaidi
- School of Systems Biology, George Mason University, Fairfax, VA, United States
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, United States.,Research Center of Medical Genetics, Moscow, Russia
| | - Udo Schumacher
- Institute of Anatomy and Experimental Morphology, University Cancer Center, University Medical-Center Hamburg-Eppendorf, Hamburg, Germany
| | - Daniel Wicklein
- Institute of Anatomy and Experimental Morphology, University Cancer Center, University Medical-Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexander Tonevitsky
- Faculty of Biology and Biotechnologies, Higher School of Economics, Moscow, Russia.,Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia.,Art Photonics GmbH, Berlin, Germany
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13
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Wang Y, Zhang H, Cao M, Kong L, Ge X. Analysis of the value and correlation of IGF-1 with GH and IGFBP-3 in the diagnosis of dwarfism. Exp Ther Med 2019; 17:3689-3693. [PMID: 30988753 PMCID: PMC6447816 DOI: 10.3892/etm.2019.7393] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 02/27/2019] [Indexed: 12/12/2022] Open
Abstract
Correlation between the value of insulin-like growth factor-1 (IGF-1) in the diagnosis of dwarfism and the levels of growth hormone (GH) and insulin-like growth factor binding protein-3 (IGFBP-3) was investigated. From April 2014 to June 2017, 122 children with dwarfism who were treated in The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University and The First Affiliated Hospital of Xinxiang Medical University were selected as the experimental group, and 51 normal children as the control group. The basic information was recorded in detail; serum GH and IGFBP-3 levels were measured using an arginine stimulation test and an insulin hypoglycemia stimulation test, respectively. According to the peak of GH in the experimental group, there were 65 cases of growth hormone deficiency (GHD) and 57 cases of idiopathic short stature (ISS). The expression levels of IGF-1 of the serum in the experimental and control group were detected by chemiluminescence immunoassay (CLIA). The correlation between IGF-1 and GH, IGF-1 and IGFBP-3 was analyzed. The expression level of serum IGF-1 in GHD group was significantly lower than that in the ISS group (P<0.05). The expression level of serum IGF-1 in GHD group was significantly lower than that in the control group (P<0.05). The expression level of serum IGF-1 in ISS group was significantly lower than that in the control group (P<0.05). The results of partial correlation studies showed that IGF-1 is positively correlated with GH and IGFBP-3. Detection of GH and IGFBP-3 are important for the early diagnosis and comprehensive evaluation of children with dwarfism, and also in the detection of IGF-1 can reflect the therapeutic effect of dwarfism on recombinant human growth hormone (rhGH) treatment, which is worthy of application in clinics.
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Affiliation(s)
- Yun Wang
- Department of Pediatrics, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu 214000, P.R. China
| | - He Zhang
- Department of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453000, P.R. China
| | - Meng Cao
- Department of Endocrinology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453000, P.R. China
| | - Lingfeng Kong
- Department of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453000, P.R. China
| | - Xiaoli Ge
- Department of Pediatrics, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu 214000, P.R. China
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14
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Dörr M, Hamburg NM, Müller C, Smith NL, Gustafsson S, Lehtimäki T, Teumer A, Zeller T, Li X, Lind L, Raitakari OT, Völker U, Blankenberg S, McKnight B, Morris AP, Kähönen M, Lemaitre RN, Wild PS, Nauck M, Völzke H, Münzel T, Mitchell GF, Psaty BM, Lindgren CM, Larson MG, Felix SB, Ingelsson E, Lyytikäinen LP, Herrington D, Benjamin EJ, Schnabel RB. Common Genetic Variation in Relation to Brachial Vascular Dimensions and Flow-Mediated Vasodilation. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2019; 12:e002409. [PMID: 30779634 PMCID: PMC7835110 DOI: 10.1161/circgen.118.002409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Marcus Dörr
- Department of Internal Medicine (M.D., S.B.F.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Naomi M Hamburg
- Department of Medicine, Sections of Cardiology and Vascular Medicine, Boston University School of Medicine, MA (N.M.H.)
| | - Christian Müller
- Department of General & Interventional Cardiology, University of Heart Center Hamburg-Eppendorf, Germany (C.M., T.Z., S.B., R.B.S.)
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Germany (C.M., T.Z., S.B., R.B.S.)
| | - Nicholas L Smith
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology, & Health Services (N.L.S., B.M.P.), University of Washington, WA
- Kaiser Permanente Washington Health Research Institute (N.L.S., B.M.P.)
- Seattle Epidemiologic Research and Information Center, Department of Veteran Affairs Office of Research and Development, WA (N.L.S.)
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Sweden (S.G., L.L., E.I.)
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (T.L., L.-P.L.)
| | - Alexander Teumer
- Department SHIP/Clinical-Epidemiological Research, Institute for Community Medicine (A.T., H.V.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Tanja Zeller
- Department of General & Interventional Cardiology, University of Heart Center Hamburg-Eppendorf, Germany (C.M., T.Z., S.B., R.B.S.)
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Germany (C.M., T.Z., S.B., R.B.S.)
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, CA (X.L.)
| | - Lars Lind
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Sweden (S.G., L.L., E.I.)
| | - Olli T Raitakari
- Department of Clinical Physiology & Nuclear Medicine, Turku University Hospital, Finland (O.T.R.)
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland (O.T.R.)
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics & Functional Genomics (U.V.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Stefan Blankenberg
- Department of General & Interventional Cardiology, University of Heart Center Hamburg-Eppendorf, Germany (C.M., T.Z., S.B., R.B.S.)
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Germany (C.M., T.Z., S.B., R.B.S.)
| | - Barbara McKnight
- Cardiovascular Health Research Unit, Department of Biostatistics (B.M.), University of Washington, WA
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, United Kingdom (A.P.M.)
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (M.K.)
- Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland (M.K.)
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine (R.N.L.), University of Washington, WA
| | - Philipp S Wild
- Preventive Cardiology and Preventive Medicine, Center for Cardiology (P.S.W.), Department of Internal Medicine 2, University Medical Center of the Johannes Gutenberg-University Mainz, Germany
- Center for Thrombosis and Hemostasis (P.S.W.), Department of Internal Medicine 2, University Medical Center of the Johannes Gutenberg-University Mainz, Germany
- DZHK (German Center for Cardiovascular Research), partner site Rhine-Main, Mainz, Germany (P.S.W., T.M.)
| | - Matthias Nauck
- Institute of Clinical Chemistry & Laboratory Medicine (M.N.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Henry Völzke
- Department SHIP/Clinical-Epidemiological Research, Institute for Community Medicine (A.T., H.V.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Thomas Münzel
- Center for Cardiology (T.M.), Department of Internal Medicine 2, University Medical Center of the Johannes Gutenberg-University Mainz, Germany
- DZHK (German Center for Cardiovascular Research), partner site Rhine-Main, Mainz, Germany (P.S.W., T.M.)
| | - Gary F Mitchell
- Department of Research, Cardiovascular Engineering Inc., Norwood, MA (G.F.M.)
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology, & Health Services (N.L.S., B.M.P.), University of Washington, WA
- Kaiser Permanente Washington Health Research Institute (N.L.S., B.M.P.)
| | - Cecilia M Lindgren
- Department of Research, Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute (C.M.L.), University of Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine (C.M.L.), University of Oxford, United Kingdom
- Broad Institute of the Massachusetts Institute of Technology & Harvard University, Cambridge, MA (C.M.L.)
| | - Martin G Larson
- Boston University and the NHLBI's Framingham Heart Study, MA (M.G.L., E.J.B.)
- Department of Biostatistics, Boston University School of Public Health, MA (M.G.L.)
| | - Stephan B Felix
- Department of Internal Medicine (M.D., S.B.F.), University of Medicine Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Germany (M.D., A.T., U.V., M.N., H.V., S.B.F.)
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Sweden (S.G., L.L., E.I.)
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (E.I.)
- Stanford Cardiovascular Institute (E.I.), Stanford University, CA
- Stanford Diabetes Research Center (E.I.), Stanford University, CA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (T.L., L.-P.L.)
| | - David Herrington
- Cardiovascular Medicine Department, Wake Forest University School of Medicine, Winston Salem, NC (D.H.)
| | - Emelia J Benjamin
- Boston University and the NHLBI's Framingham Heart Study, MA (M.G.L., E.J.B.)
- Department of Medicine, Boston University School of Medicine and Department of Epidemiology, Boston University School of Public Health, Boston, MA (E.J.B.)
| | - Renate B Schnabel
- Department of General & Interventional Cardiology, University of Heart Center Hamburg-Eppendorf, Germany (C.M., T.Z., S.B., R.B.S.)
- DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, Germany (C.M., T.Z., S.B., R.B.S.)
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15
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Tan VY, Biernacka KM, Dudding T, Bonilla C, Gilbert R, Kaplan RC, Qibin Q, Teumer A, Martin RM, Perks CM, Timpson NJ, Holly JMP. Reassessing the Association between Circulating Vitamin D and IGFBP-3: Observational and Mendelian Randomization Estimates from Independent Sources. Cancer Epidemiol Biomarkers Prev 2018; 27:1462-1471. [PMID: 30072546 PMCID: PMC6837868 DOI: 10.1158/1055-9965.epi-18-0113] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 06/18/2018] [Accepted: 06/19/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Circulating insulin-like growth factor binding protein 3 (IGFBP-3) has been associated with prostate cancer. Preclinical studies found that vitamin D regulates IGFBP-3 expression, although evidence from epidemiologic studies is conflicting. METHODS Mendelian randomization analyses (MR) were conducted to reassess associations between IGFBP-3 and prostate cancer risk and advanced prostate cancer using summary statistics from the PRACTICAL consortium (44,825 cases; 27,904 controls). Observational and MR analyses were conducted to assess the relationship between inactive vitamin D [25(OH)D] and IGFBP-3 using data from the ProtecT study (1,366 cases;1,071 controls) and summary statistics from the CHARGE consortium (n = 18,995). RESULTS The OR for prostate cancer per SD unit increase in circulating IGFBP-3 was 1.14 [95% confidence interval (CI), 1.02-1.28]. The OR for advanced prostate cancer per SD unit increase in IGFBP-3 was 1.22 (95% CI, 1.07-1.40). Observationally, a SD increase in 25(OH)D was associated with a 0.1SD (95% CI, 0.05-0.14) increase in IGFBP-3. MR analyses found little evidence for a causal relationship between circulating 25(OH)D and IGFBP-3 in the circulation. CONCLUSIONS This study provided confirmatory evidence that IGFBP-3 is a risk factor for prostate cancer risk and progression. Observationally, there was evidence that 25(OH)D is associated with IGFBP-3, but MR analyses suggested that these findings were unlikely to be causal. Findings may be limited by the nature of instrumentation of 25(OH)D and IGFBP-3 and the utility of circulating measures. 25(OH)D appears unlikely to be causally related to IGFBP-3 in the circulation, however, our findings do not preclude causal associations at the tissue level. IMPACT IGFBP-3 is a prostate cancer risk factor but 25(OH)D are unlikely to be causally related to IGFBP-3 in the circulation.
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Affiliation(s)
- Vanessa Y Tan
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kalina M Biernacka
- IGFs & Metabolic Endocrinology Group, School of Translational Health Sciences, Learning & Research Building, Southmead Hospital, Bristol, United Kingdom
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Tom Dudding
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Carolina Bonilla
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Rebecca Gilbert
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Qi Qibin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Richard M Martin
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | | | - Nicholas J Timpson
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Jeff M P Holly
- IGFs & Metabolic Endocrinology Group, School of Translational Health Sciences, Learning & Research Building, Southmead Hospital, Bristol, United Kingdom
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16
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Im C, Sapkota Y, Moon W, Kawashima M, Nakamura M, Tokunaga K, Yasui Y. Genome-wide haplotype association analysis of primary biliary cholangitis risk in Japanese. Sci Rep 2018; 8:7806. [PMID: 29773854 PMCID: PMC5958065 DOI: 10.1038/s41598-018-26112-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 04/30/2018] [Indexed: 12/16/2022] Open
Abstract
Primary biliary cholangitis (PBC) susceptibility loci have largely been discovered through single SNP association testing. In this study, we report genic haplotype patterns associated with PBC risk genome-wide in two Japanese cohorts. Among the 74 genic PBC risk haplotype candidates we detected with a novel methodological approach in a discovery cohort of 1,937 Japanese, nearly two-thirds were replicated (49 haplotypes, Bonferroni-corrected P < 6.8 × 10-4) in an independent Japanese cohort (N = 949). Along with corroborating known PBC-associated loci (TNFSF15, HLA-DRA), risk haplotypes may potentially model cis-interactions that regulate gene expression. For example, one replicated haplotype association (9q32-9q33.1, OR = 1.7, P = 3.0 × 10-21) consists of intergenic SNPs outside of the human leukocyte antigen (HLA) region that overlap regulatory histone mark peaks in liver and blood cells, and are significantly associated with TNFSF8 expression in whole blood. We also replicated a novel haplotype association involving non-HLA SNPs mapped to UMAD1 (7p21.3; OR = 15.2, P = 3.9 × 10-9) that overlap enhancer peaks in liver and memory Th cells. Our analysis demonstrates the utility of haplotype association analyses in discovering and characterizing PBC susceptibility loci.
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Affiliation(s)
- Cindy Im
- School of Public Health, University of Alberta, Edmonton, Alberta, T6G 1C9, Canada.
| | - Yadav Sapkota
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Wonjong Moon
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Minae Kawashima
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Minoru Nakamura
- Department of Hepatology, Nagasaki University Graduate School of Biomedical Sciences and Clinical Research Center, National Hospital Organization Nagasaki Medical Center, Omura, Nagasaki, 856-8562, Japan
| | - Katsushi Tokunaga
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Yutaka Yasui
- School of Public Health, University of Alberta, Edmonton, Alberta, T6G 1C9, Canada. .,Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
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17
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Frater J, Lie D, Bartlett P, McGrath JJ. Insulin-like Growth Factor 1 (IGF-1) as a marker of cognitive decline in normal ageing: A review. Ageing Res Rev 2018; 42:14-27. [PMID: 29233786 DOI: 10.1016/j.arr.2017.12.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 11/29/2017] [Accepted: 12/06/2017] [Indexed: 01/09/2023]
Abstract
Insulin-like Growth Factor 1 (IGF-1) and its signaling pathway play a primary role in normal growth and ageing, however serum IGF-1 is known to reduce with advancing age. Recent findings suggest IGF-1 is essential for neurogenesis in the adult brain, and this reduction of IGF-1 with ageing may contribute to age-related cognitive decline. Experimental studies have shown manipulation of the GH/GF-1 axis can slow rates of cognitive decline in animals, making IGF-1 a potential biomarker of cognition, and/or its signaling pathway a possible therapeutic target to prevent or slow age-related cognitive decline. A systematic literature review and qualitative narrative summary of current evidence for IGF-1 as a biomarker of cognitive decline in the ageing brain was undertaken. Results indicate IGF-1 concentrations do not confer additional diagnostic information for those with cognitive decline, and routine clinical measurement of IGF-1 is not currently justified. In cases of established cognitive impairment, it remains unclear whether increasing circulating or brain IGF-1 may reverse or slow down the rate of further decline. Advances in neuroimaging, genetics, neuroscience and the availability of large well characterized biobanks will facilitate research exploring the role of IGF-1 in both normal ageing and age-related cognitive decline.
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18
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Williams DM, Karlsson IK, Pedersen NL, Hägg S. Circulating insulin-like growth factors and Alzheimer disease: A mendelian randomization study. Neurology 2017; 90:e291-e297. [PMID: 29282328 PMCID: PMC5798653 DOI: 10.1212/wnl.0000000000004854] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 10/20/2017] [Indexed: 12/16/2022] Open
Abstract
Objective To examine whether genetically predicted variation in circulating insulin-like growth factor 1 (IGF1) or its binding protein, IGFBP3, are associated with risk of Alzheimer disease (AD), using a mendelian randomization study design. Methods We first examined disease risk by genotypes of 9 insulin-like growth factor (IGF)–related single nucleotide polymorphisms (SNPs) using published summary genome-wide association statistics from the International Genomics of Alzheimer's Project (IGAP; n = 17,008 cases; 37,154 controls). We then assessed whether any SNP-disease results replicated in an independent sample derived from the Swedish Twin Registry (n = 984 cases; 10,304 controls). Results Meta-analyses of SNP-AD results did not suggest that variation in IGF1, IGFBP3, or the molar ratio of these affect AD risk. Only one SNP appeared to affect AD risk in IGAP data. This variant is located in the gene FOXO3, implicated in human longevity. In a meta-analysis of both IGAP and secondary data, the odds ratio of AD per FOXO3 risk allele was 1.04 (95% confidence interval 1.01–1.08; p = 0.008). Conclusions These findings suggest that circulating IGF1 and IGFBP3 are not important determinants of AD risk. FOXO3 function may influence AD development via pathways that are independent of IGF signaling (i.e., pleiotropic actions).
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Affiliation(s)
- Dylan M Williams
- From the Department of Medical Epidemiology & Biostatistics (D.M.W., I.K.K., N.L.P., S.H.), Karolinska Institutet, Stockholm, Sweden; and Department of Psychology (N.L.P.), University of Southern California, Los Angeles.
| | - Ida K Karlsson
- From the Department of Medical Epidemiology & Biostatistics (D.M.W., I.K.K., N.L.P., S.H.), Karolinska Institutet, Stockholm, Sweden; and Department of Psychology (N.L.P.), University of Southern California, Los Angeles
| | - Nancy L Pedersen
- From the Department of Medical Epidemiology & Biostatistics (D.M.W., I.K.K., N.L.P., S.H.), Karolinska Institutet, Stockholm, Sweden; and Department of Psychology (N.L.P.), University of Southern California, Los Angeles
| | - Sara Hägg
- From the Department of Medical Epidemiology & Biostatistics (D.M.W., I.K.K., N.L.P., S.H.), Karolinska Institutet, Stockholm, Sweden; and Department of Psychology (N.L.P.), University of Southern California, Los Angeles
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19
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Flachsbart F, Dose J, Gentschew L, Geismann C, Caliebe A, Knecht C, Nygaard M, Badarinarayan N, ElSharawy A, May S, Luzius A, Torres GG, Jentzsch M, Forster M, Häsler R, Pallauf K, Lieb W, Derbois C, Galan P, Drichel D, Arlt A, Till A, Krause-Kyora B, Rimbach G, Blanché H, Deleuze JF, Christiansen L, Christensen K, Nothnagel M, Rosenstiel P, Schreiber S, Franke A, Sebens S, Nebel A. Identification and characterization of two functional variants in the human longevity gene FOXO3. Nat Commun 2017; 8:2063. [PMID: 29234056 PMCID: PMC5727304 DOI: 10.1038/s41467-017-02183-y] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 11/10/2017] [Indexed: 12/15/2022] Open
Abstract
FOXO3 is consistently annotated as a human longevity gene. However, functional variants and underlying mechanisms for the association remain unknown. Here, we perform resequencing of the FOXO3 locus and single-nucleotide variant (SNV) genotyping in three European populations. We find two FOXO3 SNVs, rs12206094 and rs4946935, to be most significantly associated with longevity and further characterize them functionally. We experimentally validate the in silico predicted allele-dependent binding of transcription factors (CTCF, SRF) to the SNVs. Specifically, in luciferase reporter assays, the longevity alleles of both variants show considerable enhancer activities that are reversed by IGF-1 treatment. An eQTL database search reveals that the alleles are also associated with higher FOXO3 mRNA expression in various human tissues, which is in line with observations in long-lived model organisms. In summary, we present experimental evidence for a functional link between common intronic variants in FOXO3 and human longevity. FOXO3 is one of the few established longevity genes. Here, the authors fine-map the FOXO3-longevity association to two intronic SNPs and, using luciferase assays and EMSAs, show that these SNPs affect binding of transcription factors CTCF and SRF and associate with FOXO3 expression.
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Affiliation(s)
- Friederike Flachsbart
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Liljana Gentschew
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Claudia Geismann
- Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany
| | - Amke Caliebe
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Brunswiker Straße 10, 24105, Kiel, Germany
| | - Carolin Knecht
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Brunswiker Straße 10, 24105, Kiel, Germany
| | - Marianne Nygaard
- The Danish Aging Research Center, and the Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J. B. Winslows Vej 9B, 5000, Odense C, Denmark
| | - Nandini Badarinarayan
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Abdou ElSharawy
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.,Faculty of Sciences, Division of Biochemistry, Chemistry Department, Damietta University, 34511, New Damietta City, Egypt
| | - Sandra May
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Anne Luzius
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Guillermo G Torres
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Marlene Jentzsch
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Michael Forster
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Robert Häsler
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Kathrin Pallauf
- Institute of Human Nutrition and Food Science, Kiel University, Hermann-Rodewald-Straße 6, 24118, Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany
| | - Céline Derbois
- Centre National de Recherche en Génomique Humaine CNRGH-CEA, 91000, Evry, France
| | - Pilar Galan
- Université Sorbonne Paris Cité-UREN, Unité de Recherche en Epidémiologie Nutritionnelle, U557 Inserm, U1125 Inra, Cnam, Université Paris 13, CRNH IdF, 93000, Bobigny, France
| | - Dmitriy Drichel
- Department of Statistical Genetics and Bioinformatics, Cologne Center for Genomics, University of Cologne, Weyertal 115b, 50931, Cologne, Germany
| | - Alexander Arlt
- Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany
| | - Andreas Till
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.,Institute of Reconstructive Neurobiology and Life & Brain GmbH, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Ben Krause-Kyora
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.,Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
| | - Gerald Rimbach
- Institute of Human Nutrition and Food Science, Kiel University, Hermann-Rodewald-Straße 6, 24118, Kiel, Germany
| | - Hélène Blanché
- Fondation Jean Dausset-Centre d'Etude du Polymorphisme Humain (CEPH), 27 Rue Juliette Dodu, 75010, Paris, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine CNRGH-CEA, 91000, Evry, France.,Fondation Jean Dausset-Centre d'Etude du Polymorphisme Humain (CEPH), 27 Rue Juliette Dodu, 75010, Paris, France
| | - Lene Christiansen
- The Danish Aging Research Center, and the Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J. B. Winslows Vej 9B, 5000, Odense C, Denmark
| | - Kaare Christensen
- The Danish Aging Research Center, and the Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J. B. Winslows Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark
| | - Michael Nothnagel
- Department of Statistical Genetics and Bioinformatics, Cologne Center for Genomics, University of Cologne, Weyertal 115b, 50931, Cologne, Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.,Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany
| | - Susanne Sebens
- Institute for Experimental Cancer Research, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.
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20
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Singh J, Minster RL, Schupf N, Kraja A, Liu Y, Christensen K, Newman AB, Kammerer CM. Genomewide Association Scan of a Mortality Associated Endophenotype for a Long and Healthy Life in the Long Life Family Study. J Gerontol A Biol Sci Med Sci 2017; 72:1411-1416. [PMID: 28329217 DOI: 10.1093/gerona/glx011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Indexed: 01/21/2023] Open
Abstract
Background Identification of genes or fundamental biological pathways that regulate aging phenotypes and longevity could lead to possible interventions to increase healthy longevity. Methods Using data from the Long Life Family Study, we performed genomewide association analyses on an endophenotype construct, LF1, comprising a linear combination of traits across health domains. LF1 primarily reflected traits from the pulmonary and physical activity domains. Results We detected a significant association between LF1 and a locus on chromosome 10p15 (p-value = 4.65 × 10-8) and suggestive evidence (p-value < 5 × 10-6) for association on chromosomes 1, 2, 8, 12, 15, 18, and 22. Using data from the Health, Aging and Body Composition Study, we subsequently replicated the association for the 1p13 region near the NBPF6 locus (p-value = 3.65 × 10-4). Conclusions Our analyses indicate that loci influencing a healthy aging endophenotype construct predominantly comprised of pulmonary and physical function domains may be located on chromosome 1p13 near the NBPF6 locus. Further investigation of this possible locus and other suggestive loci may reveal novel biological pathways that influence healthy aging.
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Affiliation(s)
- Jatinder Singh
- Department of Human Genetics, University of Pittsburgh, Pennsylvania
| | - Ryan L Minster
- Department of Human Genetics, University of Pittsburgh, Pennsylvania
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, New York
| | - Aldi Kraja
- Division of Statistical Genomics, School of Medicine, Washington University in St. Louis, Missouri
| | - YongMei Liu
- Department of Epidemiology & Prevention, Wake Forest University Health Sciences, Winston-Salem, North Carolina
| | - Kaare Christensen
- The Danish Aging Research Center, University of Southern Denmark; Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Denmark
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pennsylvania
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21
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Donlon TA, Morris BJ, Chen R, Masaki KH, Allsopp RC, Willcox DC, Elliott A, Willcox BJ. FOXO3 longevity interactome on chromosome 6. Aging Cell 2017; 16:1016-1025. [PMID: 28722347 PMCID: PMC5595686 DOI: 10.1111/acel.12625] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/07/2017] [Indexed: 01/07/2023] Open
Abstract
FOXO3 has been implicated in longevity in multiple populations. By DNA sequencing in long‐lived individuals, we identified all single nucleotide polymorphisms (SNPs) in FOXO3 and showed 41 were associated with longevity. Thirteen of these had predicted alterations in transcription factor binding sites. Those SNPs appeared to be in physical contact, via RNA polymerase II binding chromatin looping, with sites in the FOXO3 promoter, and likely function together as a cis‐regulatory unit. The SNPs exhibited a high degree of LD in the Asian population, in which they define a specific longevity haplotype that is relatively common. The haplotype was less frequent in whites and virtually nonexistent in Africans. We identified distant contact points between FOXO3 and 46 neighboring genes, through long‐range physical contacts via CCCTC‐binding factor zinc finger protein (CTCF) binding sites, over a 7.3 Mb distance on chromosome 6q21. When activated by cellular stress, we visualized movement of FOXO3 toward neighboring genes. FOXO3 resides at the center of this early‐replicating and highly conserved syntenic region of chromosome 6. Thus, in addition to its role as a transcription factor regulating gene expression genomewide, FOXO3 may function at the genomic level to help regulate neighboring genes by virtue of its central location in chromatin conformation via topologically associated domains. We believe that the FOXO3 ‘interactome’ on chromosome 6 is a chromatin domain that defines an aging hub. A more thorough understanding of the functions of these neighboring genes may help elucidate the mechanisms through which FOXO3 variants promote longevity and healthy aging.
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Affiliation(s)
- Timothy A. Donlon
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
- John A. Burns School of Medicine; University of Hawaii Manoa; Honolulu Hawaii
| | - Brian J. Morris
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
- Basic & Clinical Genomics Laboratory; School of Medical Sciences and Bosch Institute; University of Sydney; Sydney NSW Australia
- Department of Geriatric Medicine; John A. Burns School of Medicine; University of Hawaii; Honolulu Hawaii
| | - Randi Chen
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
| | - Kamal H. Masaki
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
- Department of Geriatric Medicine; John A. Burns School of Medicine; University of Hawaii; Honolulu Hawaii
| | - Richard C. Allsopp
- John A. Burns School of Medicine; University of Hawaii Manoa; Honolulu Hawaii
| | - D. Craig Willcox
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
- Department of Geriatric Medicine; John A. Burns School of Medicine; University of Hawaii; Honolulu Hawaii
- Department of Human Welfare; Okinawa International University; Okinawa Japan
| | - Ayako Elliott
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
| | - Bradley J. Willcox
- Department of Research; Genetics Laboratory; Honolulu Heart Program/Honolulu-Asia Aging Study (HAAS); Kuakini Medical Center; Honolulu Hawaii
- Department of Geriatric Medicine; John A. Burns School of Medicine; University of Hawaii; Honolulu Hawaii
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22
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Fang Z, Yang S, Zhu L, Li Y, Chen Y, Jin Y, Zhao X, Zhao H, Chen X, Zhao Y, Shen C, Yao Y. Association study of IGFBP1 and IGFBP3 polymorphisms with hypertension and cardio-cerebral vascular diseases in a Chinese Han population. Oncotarget 2017; 8:77836-77845. [PMID: 29100429 PMCID: PMC5652818 DOI: 10.18632/oncotarget.20839] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 08/17/2017] [Indexed: 01/25/2023] Open
Abstract
Previous studies have showed that insulin-like growth factor (IGF) axis is involved in the development of hypertension. It is unclear whether genetic variants in the IGF-binding proteins (IGFBPs) contribute to the susceptibility to hypertension. Three single-nucleotide polymorphisms (SNPs) in IGFBP1 and four SNPs in IGFBP3 were selected for genotyping in 2,012 hypertension cases and 2,210 healthy controls and 4,128 subjects were followed up for a median of 5.01 years. Multiple logistic regression and Cox regression were performed to evaluate the association of these seven SNPs with hypertension and cardio-cerebral vascular disease (CCVD). In the case-control study, rs2132572 and rs3110697 at IGFBP3 were significantly associated with hypertension, and the odds ratios (ORs) of rs2132572 (CT+TT vs. CC) and rs3110697 (GA+AA vs. GG) were 1.235 (P=0.002) and 1.176 (P=0.013), respectively (PFDR<0.05). The association of rs2132572 (TT vs. CT+CC) with hypertension was further replicated in the follow-up population, with a hazard ratio (HR) of 1.694 (P=0.014). rs1874479 at IGFBP1 was significantly associated with CCVD, particularly with stroke, and the HRs of the additive model were 1.310 (P=0.007) and 1.372 (P=0.015). Moreover, the hypertension cases presented with lower serum IGFBP1 levels than the controls (P=0.011). The serum levels of IGFBP1 significantly varied among the genotypes of rs1065780, rs2854843 and rs13223993, both in the controls and in the hypertension cases (P<0.05). These findings suggest that the genetic variants of IGFBP1 and IGFBP3 were associated with an increased risk of stroke and hypertension, respectively. Lower serum IGFBP1 levels may predict an increased risk of hypertension.
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Affiliation(s)
- Zhengmei Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Wannan Medical College, Wuhu 241001, China
| | - Song Yang
- Department of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing 214200, China
| | - Lijun Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wannan Medical College, Wuhu 241001, China
| | - Ying Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yanchun Chen
- Department of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing 214200, China
| | - Yuelong Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Wannan Medical College, Wuhu 241001, China
| | - Xianghai Zhao
- Department of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing 214200, China
| | - Hailong Zhao
- Central Laboratory, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing 214200, China
| | - Xiaotian Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yanping Zhao
- Department of Neurology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing 214200, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yingshui Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Wannan Medical College, Wuhu 241001, China
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23
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Kolovou V, Bilianou H, Giannakopoulou V, Kalogeropoulos P, Mihas C, Kouris M, Cokkinos DV, Boutsikou M, Hoursalas I, Mavrogeni S, Katsiki N, Kolovou G. Five gene variants in nonagenarians, centenarians and average individuals. Arch Med Sci 2017; 13:1130-1141. [PMID: 28883855 PMCID: PMC5575223 DOI: 10.5114/aoms.2017.68942] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 01/02/2017] [Indexed: 01/16/2023] Open
Abstract
INTRODUCTION Genetic factors contribute to the variation of human life span which is believed to be more profound after 85 years of age. The aim of the present study was to evaluate the frequency of 5 gene polymorphisms between nonagenarians, centenarians and average individuals. MATERIAL AND METHODS Single nucleotide polymorphisms (SNPs) of telomerase reverse transcriptase (TERT; rs2736098), insulin-like growth factor-1 binding protein-3 (IGFBP3; A-202C, rs2857744), fork-head box O3A (FOXO3A; rs13217795 and rs2764264) factor and adiponectin (ADIPOQ; rs2241766) were evaluated in 405 individuals: n = 256 nonagenarians and centenarians (study group) and n = 149 average lifespan individuals (control group aged 18 - < 80 years). RESULTS The frequency of women was significantly higher in the study group than the control group (64.5 vs. 49.7%, p = 0.004). Genotypic and allele frequencies did not differ between groups according to gender. However, in men, the frequency of TT genotype of FOXO3A; rs2764264 was higher in the study group than the control group (45.6 vs. 28.0%, p = 0.05). Overall, the frequency of the C allele of FOXO3A; rs2764264 was significantly lower in the study group than the control group (3.9 vs. 9.5%, respectively, p = 0.023). Furthermore, in the study group, the T allele was significantly more frequent in the nonagenarians (n = 239) than the centenarians (n = 17) in both FOXO3A; rs13217795 and rs2764264 (64.4 vs. 44.1%, p = 0.018 and 69.7 vs. 50.0%, p = 0.017, respectively). CONCLUSIONS According to survival status, there is differentiation in the prevalence of both studied FOXO3A gene polymorphisms. The study group had half of the C alleles compared with the control group and centenarians less frequently had the T allele of both FOXO3A gene polymorphisms compared with nonagenarians. No difference was found between groups according to TERT, IGFBP3 and ADIPOQ gene polymorphisms. It seems that some polymorphisms may be significant in prolonging our lifespan. Nevertheless, confirmation in additional study populations is needed.
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Affiliation(s)
- Vana Kolovou
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
- Molecular Immunology Laboratory, Onassis Cardiac Surgery Center, Athens, Greece
| | | | | | - Petros Kalogeropoulos
- Department of Cardiology, Kostantopoulio Geniko Nosokomio Neas Ionias, Athens, Greece
| | | | - Markos Kouris
- Cardiology Department, Tzanio Hospital, Pireus, Greece
| | - Dennis V Cokkinos
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
| | - Maria Boutsikou
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
| | - Ioannis Hoursalas
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
| | - Sophie Mavrogeni
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
| | - Niki Katsiki
- Second Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippocration Hospital, Thessaloniki, Greece
| | - Genovefa Kolovou
- Cardiology Department, Onassis Cardiac Surgery Center, Athens, Greece
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24
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Forge A, Taylor RR, Dawson SJ, Lovett M, Jagger DJ. Disruption of SorCS2 reveals differences in the regulation of stereociliary bundle formation between hair cell types in the inner ear. PLoS Genet 2017; 13:e1006692. [PMID: 28346477 PMCID: PMC5386298 DOI: 10.1371/journal.pgen.1006692] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 04/10/2017] [Accepted: 03/14/2017] [Indexed: 12/24/2022] Open
Abstract
Behavioural anomalies suggesting an inner ear disorder were observed in a colony of transgenic mice. Affected animals were profoundly deaf. Severe hair bundle defects were identified in all outer and inner hair cells (OHC, IHC) in the cochlea and in hair cells of vestibular macular organs, but hair cells in cristae were essentially unaffected. Evidence suggested the disorder was likely due to gene disruption by a randomly inserted transgene construct. Whole-genome sequencing identified interruption of the SorCS2 (Sortilin-related VPS-10 domain containing protein) locus. Real-time-qPCR demonstrated disrupted expression of SorCS2 RNA in cochlear tissue from affected mice and this was confirmed by SorCS2 immuno-labelling. In all affected hair cells, stereocilia were shorter than normal, but abnormalities of bundle morphology and organisation differed between hair cell types. Bundles on OHC were grossly misshapen with significantly fewer stereocilia than normal. However, stereocilia were organised in rows of increasing height. Bundles on IHC contained significantly more stereocilia than normal with some longer stereocilia towards the centre, or with minimal height differentials. In early postnatal mice, kinocilia (primary cilia) of IHC and of OHC were initially located towards the lateral edge of the hair cell surface but often became surrounded by stereocilia as bundle shape and apical surface contour changed. In macular organs the kinocilium was positioned in the centre of the cell surface throughout maturation. There was disruption of the signalling pathway controlling intrinsic hair cell apical asymmetry. LGN and Gαi3 were largely absent, and atypical Protein Kinase C (aPKC) lost its asymmetric distribution. The results suggest that SorCS2 plays a role upstream of the intrinsic polarity pathway and that there are differences between hair cell types in the deployment of the machinery that generates a precisely organised hair bundle.
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MESH Headings
- Age Factors
- Animals
- Gene Expression Regulation
- Hair Cells, Auditory, Inner/metabolism
- Hair Cells, Auditory, Inner/pathology
- Hearing Loss/genetics
- Hearing Loss/metabolism
- Hearing Loss/physiopathology
- Immunohistochemistry
- Mice, Inbred C57BL
- Mice, Knockout
- Mice, Transgenic
- Microscopy, Confocal
- Microscopy, Electron, Scanning
- Nerve Tissue Proteins/genetics
- Nerve Tissue Proteins/metabolism
- Organ of Corti/metabolism
- Organ of Corti/physiopathology
- Organ of Corti/ultrastructure
- Receptors, Cell Surface/genetics
- Receptors, Cell Surface/metabolism
- Reverse Transcriptase Polymerase Chain Reaction
- Stereocilia/genetics
- Stereocilia/metabolism
- Stereocilia/pathology
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Affiliation(s)
- Andrew Forge
- UCL Ear Institute, University College London, London, United Kingdom
- * E-mail:
| | - Ruth R. Taylor
- UCL Ear Institute, University College London, London, United Kingdom
| | - Sally J. Dawson
- UCL Ear Institute, University College London, London, United Kingdom
| | - Michael Lovett
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Daniel J. Jagger
- UCL Ear Institute, University College London, London, United Kingdom
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25
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Song Y, Du Z, Yang Q, Ren M, Sui Y, Wang Q, Wang A, Zhao H, Wang J, Zhang G. Associations of IGFBP3 Gene Polymorphism and Gene Expression with the Risk of Osteonecrosis of the Femoral Head in a Han Population in Northern China. DNA Cell Biol 2016; 35:836-844. [DOI: 10.1089/dna.2016.3441] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Yang Song
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
| | - Zhenwu Du
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Qiwei Yang
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Ming Ren
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
| | - Yujie Sui
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Qingyu Wang
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Ao Wang
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
| | - Haiyue Zhao
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Jincheng Wang
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
| | - Guizhen Zhang
- Department of Orthopedics, Second Clinical College of Jilin University, Changchun, People's Republic of China
- The Engineering Research Center of Molecular Diagnosis and Cell Treatment for Metabolic Bone Diseases of Jilin Province, Changchun, People's Republic of China
- Research Center of Second Clinical College of Jilin University, Changchun, People's Republic of China
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26
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Adams HHH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Rentería ME, Trompet S, Arias-Vasquez A, Seshadri S, Desrivières S, Beecham AH, Jahanshad N, Wittfeld K, Van der Lee SJ, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beiser A, Bernard M, Bis JC, Blanken LME, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chauhan G, Chen Q, Ching CRK, Cuellar-Partida G, Braber AD, Doan NT, Ehrlich S, Filippi I, Ge T, Giddaluru S, Goldman AL, Gottesman RF, Greven CU, Grimm O, Griswold ME, Guadalupe T, Hass J, Haukvik UK, Hilal S, Hofer E, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liao J, Liewald DCM, Lopez LM, Luciano M, Macare C, Marquand A, Matarin M, Mather KA, Mattheisen M, Mazoyer B, McKay DR, McWhirter R, Milaneschi Y, Mirza-Schreiber N, Muetzel RL, Maniega SM, Nho K, Nugent AC, Loohuis LMO, Oosterlaan J, Papmeyer M, Pappa I, Pirpamer L, Pudas S, Pütz B, Rajan KB, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Rose EJ, Royle NA, Rundek T, Sämann PG, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Thomson R, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Vaidya D, Van der Grond J, Van der Meer D, Van Donkelaar MMJ, Van Eijk KR, Van Erp TGM, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Woldehawariat G, Wolf C, Wolfers T, Xu B, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Aggarwal NT, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Chen C, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Geus EJC, De Jager PL, de Zubicaray GI, Delanty N, Depondt C, DeStefano AL, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Erk S, Espeseth T, Evans DA, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HHH, Grabe HJ, Green RC, Gruber O, Gudnason V, Guelfi S, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Ikram MK, Jack CR, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Longstreth WT, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon KL, McMahon FJ, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schofield PR, Sigurdsson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Srikanth V, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Tiemeier H, Toga AW, Traynor BJ, Troncoso J, Turner JA, Tzourio C, Uitterlinden AG, Hernández MCV, Van der Brug M, Van der Lugt A, Van der Wee NJA, Van Duijn CM, Van Haren NEM, Van T Ent D, Van Tol MJ, Vardarajan BN, Veltman DJ, Vernooij MW, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke HR, Zonderman AB, Deary IJ, DeCarli C, Schmidt H, Martin NG, De Craen AJM, Wright MJ, Launer LJ, Schumann G, Fornage M, Franke B, Debette S, Medland SE, Ikram MA, Thompson PM. Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci 2016; 19:1569-1582. [PMID: 27694991 PMCID: PMC5227112 DOI: 10.1038/nn.4398] [Citation(s) in RCA: 149] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 08/31/2016] [Indexed: 02/08/2023]
Abstract
Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
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Affiliation(s)
- Hieab H H Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Vincent Chouraki
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Lille University, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Lille, France
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Jason L Stein
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
- Department of Genetics and UNC Neuroscience Center, University of North Carolina (UNC), Chapel Hill, North Carolina, USA
| | - Paul A Nyquist
- Department of Neurology, Department of Anesthesia/Critical Care Medicine, Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Alejandro Arias-Vasquez
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Sylvane Desrivières
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ashley H Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, Florida, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Greifswald, Germany
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
| | | | - Lucija Abramovic
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Saud Alhusaini
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
- The Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Micael Andersson
- Department of Integrative Medical Biology and Umeå center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Benjamin S Aribisala
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Department of Computer Science, Lagos State University, Lagos, Nigeria
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - Nicola J Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Mathematics and Statistics, Murdoch University, Perth, Australia
| | - Lavinia Athanasiu
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tomas Axelsson
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Alexa Beiser
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Manon Bernard
- Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Laura M E Blanken
- Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Susan H Blanton
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, Florida, USA
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Marc M Bohlken
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Marco P Boks
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, New York, USA
- Department of Neurology, Columbia University Medical Center, New York, New York, USA
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry and Biomedical Engineering, McGill University, Montreal, Canada
| | | | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
- Interdepartmental Neuroscience Graduate Program, UCLA School of Medicine, Los Angeles, California, USA
| | | | - Anouk Den Braber
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Nhat Trung Doan
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, North Carolina, USA
| | - Irina Filippi
- NSERM Unit 1000 ″Neuroimaging and Psychiatry″, University Paris Sud, University Paris Descartes, Paris, France
- Maison de Solenn, Adolescent Psychopathology and Medicine Department, APHP Hospital Cochin, Paris, France
| | - Tian Ge
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, North Carolina, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA
| | - Sudheer Giddaluru
- NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Aaron L Goldman
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - Rebecca F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Corina U Greven
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
- King's College London, Medical Research Council Social, Genetic and Developmental Psychiatry Centre, Institute of Psychology, Psychiatry and Neurosciene, London, UK
| | - Oliver Grimm
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Michael E Griswold
- Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
- International Max Planck Research School for Language Sciences, Nijmegen, the Netherlands
| | - Johanna Hass
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Unn K Haukvik
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Centre (MACC), National University Health System, Singapore
| | - Edith Hofer
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Austria, Graz, Austria
- Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Austria, Graz, Austria
| | - David Hoehn
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Avram J Holmes
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Department of Psychology, Yale University, New Haven, Connecticut, USA
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Deborah Janowitz
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
| | - Tianye Jia
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Dalia Kasperaviciute
- UCL Institute of Neurology, London, United Kingdom and Epilepsy Society, Bucks, UK
- Department of Medicine, Imperial College London, London, UK
| | - Sungeun Kim
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Bernd Kraemer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Phil H Lee
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA
- Lurie Center for Autism, Massachusetts General Hospital, Harvard Medical School, Lexington, Massachusetts, USA
| | - Jiemin Liao
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - David C M Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Lorna M Lopez
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Christine Macare
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andre Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Mar Matarin
- UCL Institute of Neurology, London, United Kingdom and Epilepsy Society, Bucks, UK
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Manuel Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus and Copenhagen, Denmark
- Center for integrated Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | | | - David R McKay
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
- Olin Neuropsychiatric Research Center, Hartford, Connecticut, USA
| | - Rebekah McWhirter
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Yuri Milaneschi
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Ryan L Muetzel
- Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Susana Muñoz Maniega
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Kwangsik Nho
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Allison C Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, USA
| | - Jaap Oosterlaan
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Martina Papmeyer
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Switzerland
| | - Irene Pappa
- Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- School of Pedagogical and Educational Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Lukas Pirpamer
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Austria, Graz, Austria
| | - Sara Pudas
- Department of Integrative Medical Biology and Umeå center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Kumar B Rajan
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA
| | - Adaikalavan Ramasamy
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
- The Jenner Institute Laboratories, University of Oxford, Oxford, UK
| | - Jennifer S Richards
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Shannon L Risacher
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Roberto Roiz-Santiañez
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, Spain
| | - Nanda Rommelse
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Emma J Rose
- Psychosis Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin
| | - Natalie A Royle
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Tatjana Rundek
- Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Department of Epidemiology and Public Health Sciences, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Philipp G Sämann
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Claudia L Satizabal
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Andrew J Schork
- Multimodal Imaging Laboratory, Department of Neurosciences, University of California, San Diego, USA
- Department of Cognitive Sciences, University of California, San Diego, USA
| | - Li Shen
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jean Shin
- Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Emma Sprooten
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
- Olin Neuropsychiatric Research Center, Hartford, Connecticut, USA
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lachlan T Strike
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Russell Thomson
- School of Computing Engineering and Mathematics, Western Sydney University, Parramatta, Australia
| | - Diana Tordesillas-Gutierrez
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, Spain
- Neuroimaging Unit,Technological Facilities. Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | | | - Daniah Trabzuni
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Dhananjay Vaidya
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jeroen Van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Dennis Van der Meer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marjolein M J Van Donkelaar
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Kristel R Van Eijk
- Brain Center Rudolf Magnus, Human Neurogenetics Unit, UMC Utrecht, Utrecht, the Netherlands
| | - Theo G M Van Erp
- Department of Psychiatry and Human Behavior, University of California-Irvine, Irvine, California, USA
| | - Daan Van Rooij
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Esther Walton
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Lars T Westlye
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT - KG Jebsen Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Christopher D Whelan
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
- The Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Beverly G Windham
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Anderson M Winkler
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
- FMRIB Centre, University of Oxford, Oxford, UK
| | - Girma Woldehawariat
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
| | - Christiane Wolf
- University of Wuerzburg, Department of Psychiatry, Psychosomatics and Psychotherapy, Wuerzburg, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Bing Xu
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lisa R Yanek
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Alex Zijdenbos
- Biospective Inc, Montreal, Quebec, Canada, Montréal, Québec, Canada
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Ingrid Agartz
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Neelum T Aggarwal
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - David Ames
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Australia
| | - Philippe Amouyel
- Lille University, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Lille, France
| | - Ole A Andreassen
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Sampath Arepalli
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Amelia A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Sandra Barral
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York, USA
| | - Mark E Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Diane M Becker
- GeneSTAR Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - James T Becker
- Departments of Psychiatry, Neurology, and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
| | - Hans van Bokhoven
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Dorret I Boomsma
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Dementia Collaborative Research Centre - Assessment and Better Care, UNSW, Sydney, Australia
| | - Rachel M Brouwer
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Randy L Buckner
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Kazima B Bulayeva
- Department of Evolution and Genetics, Dagestan State University, Makhachkala, Dagestan, Russia
| | - Wiepke Cahn
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Vince D Calhoun
- The Mind Research Network and LBERI, Albuquerque, New Mexico, USA
- Department of ECE, University of New Mexico, Albuquerque, New Mexico, USA
| | - Dara M Cannon
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | | | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Centre (MACC), National University Health System, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Sven Cichon
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Mark R Cookson
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Aiden Corvin
- Psychosis Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin
| | - Benedicto Crespo-Facorro
- Department of Medicine and Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM (Centro Investigación Biomédica en Red Salud Mental), Santander, Spain
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
| | - Michael Czisch
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, California, USA
- Department of Neurosciences, University of California, San Diego, California, USA
- Department of Radiology, University of California, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, California, USA
- Department of Cognitive Science, University of California, San Diego, California, USA
| | - Gareth E Davies
- Avera Institute for Human Genetics, Sioux Falls, South Dakota, USA
- Program in Translational NeuroPsychiatric Genomics, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Eco J C De Geus
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Philip L De Jager
- Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
| | - Greig I de Zubicaray
- Faculty of Health and Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia
| | - Norman Delanty
- The Royal College of Surgeons in Ireland, Dublin 2, Ireland
- Neurology Division, Beaumont Hospital, Dublin, 9, Ireland
| | - Chantal Depondt
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Anita L DeStefano
- Framingham Heart Study, Framingham, Massachusetts, USA
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Allissa Dillman
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Srdjan Djurovic
- NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition and Genomics Centre (NICOG) and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - Wayne C Drevets
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
- Janssen Research and Development, LLC, Titusville, New Jersey, USA
| | - Ravi Duggirala
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
| | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
| | - Susanne Erk
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin, Germany
| | - Thomas Espeseth
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT - KG Jebsen Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Denis A Evans
- Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, Illinois, USA
| | - Iryna O Fedko
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Luigi Ferrucci
- Intramural Research Program of the National Institute on Aging, Baltimore, Maryland, USA
| | - Simon E Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Debra A Fleischman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Tatiana M Foroud
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Peter T Fox
- University of Texas Health Science Center, San Antonio, Texas, USA
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - J Raphael Gibbs
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
- Olin Neuropsychiatric Research Center, Hartford, Connecticut, USA
| | - Randy L Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, North Carolina, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Harald H H Göring
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Brownsville/Edinburg/San Antonio, Texas, USA
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
| | - Robert C Green
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sebastian Guelfi
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Narelle K Hansell
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - John Hardy
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Catharina A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Katrin Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin, Germany
| | - Stephanie Le Hellard
- NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Dena G Hernandez
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Dirk J Heslenfeld
- Department of Psychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Pieter J Hoekstra
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Wolfgang Hoffmann
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
- HMNC Brain Health, Munich, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Jouke-Jan Hottenga
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Hilleke E Hulshoff Pol
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Pharmacology, National University of Singapore, Singapore
- Memory Aging and Cognition Centre (MACC), National University Health System, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Robert Johnson
- NICHD Brain and Tissue Bank for Developmental Disorders, University of Maryland Medical School, Baltimore, Maryland, USA
| | - Erik G Jönsson
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- FMRIB Centre, University of Oxford, Oxford, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - René S Kahn
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Ryota Kanai
- School of Psychology, University of Sussex, Brighton, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
- Department of Neuroinformatics, Araya Brain Imaging, Tokyo, Japan
| | | | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John B Kwok
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, UNSW, Sydney, Australia
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Hervé Lemaître
- NSERM Unit 1000 ″Neuroimaging and Psychiatry″, University Paris Sud, University Paris Descartes, Paris, France
- Maison de Solenn, Adolescent Psychopathology and Medicine Department, APHP Hospital Cochin, Paris, France
| | - Xinmin Liu
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
- Columbia University Medical Center, New York, New York, USA
| | - Dan L Longo
- Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Dementia Biomedical Research Unit, King's College London, London, UK
| | - Oliver Martinez
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Jean-Luc Martinot
- NSERM Unit 1000 ″Neuroimaging and Psychiatry″, University Paris Sud, University Paris Descartes, Paris, France
- Maison de Solenn, Adolescent Psychopathology and Medicine Department, APHP Hospital Cochin, Paris, France
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Andrew M McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Katie L McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Francis J McMahon
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Ingrid Melle
- NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Sebastian Mohnke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin, Germany
| | | | - Derek W Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging, Cognition and Genomics Centre (NICOG) and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 8, Ireland
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Thomas W Mühleisen
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Institute of Translational Medicine, Liverpool, UK
| | - Michael A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK e.V.), partner site Greifswald, Germany
| | - Thomas E Nichols
- FMRIB Centre, University of Oxford, Oxford, UK
- Department of Statistics and Warwick Manufacturing Group, University of Warwick, Coventry, UK
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Medical Informatics Erasmus MC, Rotterdam, the Netherlands
- Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Lars Nyberg
- Department of Integrative Medical Biology and Umeå center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Kazutaka Ohi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Rene L Olvera
- University of Texas Health Science Center, San Antonio, Texas, USA
| | - Roel A Ophoff
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, California, USA
| | - Massimo Pandolfo
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Tomas Paus
- Rotman Research Institute, University of Toronto, Toronto, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Canada
- Child Mind Institute, New York, New York, USA
| | - Zdenka Pausova
- Hospital for Sick Children, University of Toronto, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Brenda W J H Penninx
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - G Bruce Pike
- Department of Radiology, University of Calgary, Calgary, Canada
- Department of Clinical Neuroscience, University of Calgary, Calgary, Canada
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California-Irvine, Irvine, California, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Health Services, University of Washington, Seattle, Washington, USA
- Group Health Research Institute, Group Health, Seattle, Washington, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine, Australia
| | - Marcella Rietschel
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Joshua L Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
| | - Nina Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin, Germany
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Mina Ryten
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Ralph L Sacco
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Department of Epidemiology and Public Health Sciences, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Evelyn F. McKnight Brain Institute, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Andrew J Saykin
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Austria, Graz, Austria
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, UNSW, Sydney, Australia
| | | | - Andy Simmons
- Department of Neuroimaging, Institute of Psychiatry, King's College London, London, UK
- Biomedical Research Centre for Mental Health, King's College London, London, UK
- Biomedical Research Unit for Dementia, King's College London, London, UK
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Sanjay M Sisodiya
- UCL Institute of Neurology, London, United Kingdom and Epilepsy Society, Bucks, UK
| | - Colin Smith
- MRC Edinburgh Brain Bank, University of Edinburgh, Academic Department of Neuropathology, Centre for Clinical Brain Sciences, Edinburgh, UK
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, Masschusetts, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
- Neurocentre Neurology, Kuopio University Hospital, Finland
| | - Velandai Srikanth
- Department of Medicine, Peninsula Health and Monash University, Melbourne, Australia
| | - Vidar M Steen
- NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - David J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - Jessika E Sussmann
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Arthur W Toga
- Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Bryan J Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Juan Troncoso
- Brain Resource Center, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Christophe Tzourio
- Institute for Neurodegenerative Disorders, UMR 5293, CEA, CNRS, Université de Bordeaux, France
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Maria C Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Aad Van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Nic J A Van der Wee
- Department of Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Neeltje E M Van Haren
- Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht, the Netherlands
| | - Dennis Van T Ent
- Biological Psychology, Neuroscience Campus Amsterdam, Vrije Universiteit University and Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Marie-Jose Van Tol
- Neuroimaging Centre, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Badri N Vardarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, New York, USA
| | - Dick J Veltman
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin, Germany
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Thomas H Wassink
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Michael E Weale
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
- Departments of Psychiatry, Neurology, Neuroscience and the Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Disease, San Francisco VA Medical Center, University of California, San Francisco, California, USA
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Department of Evolution and Genetics, Dagestan State University, Makhachkala, Dagestan, Russia
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Clinton B Wright
- Department of Neurology, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Department of Epidemiology and Public Health Sciences, University of Miami, Miller School of Medicine, Miami, Florida, USA
- Evelyn F. McKnight Brain Institute, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - H Ronald Zielke
- NICHD Brain and Tissue Bank for Developmental Disorders, University of Maryland Medical School, Baltimore, Maryland, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh, UK
| | - Charles DeCarli
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
| | | | - Anton J M De Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Lenore J Launer
- Intramural Research Program, NIA, NIH, Bethesda, Maryland, USA
| | - Gunter Schumann
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Stéphanie Debette
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, USA
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Uimari O, Auvinen J, Jokelainen J, Puukka K, Ruokonen A, Järvelin MR, Piltonen T, Keinänen-Kiukaanniemi S, Zondervan K, Järvelä I, Ryynänen M, Martikainen H. Uterine fibroids and cardiovascular risk. Hum Reprod 2016; 31:2689-2703. [PMID: 27733532 DOI: 10.1093/humrep/dew249] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2016] [Revised: 08/13/2016] [Accepted: 08/23/2016] [Indexed: 01/19/2023] Open
Abstract
STUDY QUESTION Are uterine fibroids associated with increased cardiovascular risk? SUMMARY ANSWER This study reports an association between increased serum lipids and metabolic syndrome with an increased risk of uterine fibroids. WHAT IS KNOWN ALREADY Recent studies suggest similarities in biological disease mechanisms and risk factors for fibroids and atherosclerosis: obesity, hypertension and abnormal serum lipids. These findings are awaiting confirmation that a population-based follow-up study could offer with extensive health examination data collection linked with a national hospital discharge register. STUDY DESIGN, SIZE, DURATION The Northern Finland Birth Cohort (NFBC1966) is a population-based long-term follow-up study including all children with estimated date of delivery in 1966 in the Northern Finland area. The data were collected from national registries, postal questionnaires and clinical health examinations. The study population for this study comprised all females included in the NFBC1966 that underwent an extensive clinical health examination at age 46 years (n = 3635). PARTICIPANTS/MATERIALS, SETTING, METHODS All females included in the NFBC1966 who were alive and traceable (n = 5118) were invited for the 46-year follow-up study; 3268 (63.9%) responded, returned the postal questionnaire and attended the clinical examination. Uterine fibroid cases were identified through the national hospital discharge register that has data on disease diagnoses based on WHO ICD-codes. Uterine fibroid codes, ICD-9: 218 and ICD-10: D25 were used for case identification. Self-reported fibroid cases were identified through the postal questionnaire. MAIN RESULTS AND THE ROLE OF CHANCE A total of 729 fibroid cases were identified, including 293 based on hospital discharge registries. With adjustment for BMI, parity, education and current use of exogenous hormones the risk of prevalent fibroids rose significantly for every 1 mmol/l increase in LDL (OR = 1.13, 95% CI: 1.02-1.26 for all cases) and triglycerides (OR = 1.27, 95% CI: 1.09-1.49 for all cases). Metabolic syndrome associated with hospital discharge-based fibroid diagnosis (OR = 1.48, 95% CI: 1.09-2.01). Additionally every 1 unit increase in waist-hip ratio associated with fibroids (OR = 1.32, 95% CI: 1.10-1.57). LIMITATIONS, REASONS FOR CAUTION The case ascertainment may present some limitations. There was likely an under-identification of cases and misclassification of some cases as controls; this would have diluted the effects of reported associations. The data analysed were cross-sectional and therefore cause and effect for the associations observed cannot be distinguished. WIDER IMPLICATIONS OF THE FINDINGS Increased serum lipids and metabolic syndrome are associated with increased risk of uterine fibroids. Along with central obesity these findings add to an increased risk for cardiovascular disease among women with fibroids. These observations may suggest that there are shared predisposing factors underlying both uterine fibroids and adverse metabolic and cardiac disease risk, or that metabolic factors have a role in biological mechanisms underlying fibroid development. STUDY FUNDING/COMPETING INTERESTS This study was supported by the Academy of Finland, University Hospital Oulu, University of Oulu, Finland, Northern Finland Health Care Foundation, Duodecim Foundation, ERDF European Regional Development Fund-Well-being and health: Research in the Northern Finland Birth Cohort 1966. The authors declare no conflict of interest.
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Affiliation(s)
- Outi Uimari
- Department of Obstetrics and Gynaecology, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland .,PEDEGO Research Unit, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Endometriosis CaRe Centre, Nuffield Department of Obstetrics and Gyneacology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, PO Box 8000, 90014 Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, PO Box 8000, 90014 Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Katri Puukka
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,NordLab Oulu, Department of Clinical Chemistry, University Hospital of Oulu, University of Oulu, PO Box 5000, 90014 Oulu, Finland
| | - Aimo Ruokonen
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,NordLab Oulu, Department of Clinical Chemistry, University Hospital of Oulu, University of Oulu, PO Box 5000, 90014 Oulu, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, PO Box 8000, 90014 Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Terhi Piltonen
- Department of Obstetrics and Gynaecology, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,PEDEGO Research Unit, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Sirkka Keinänen-Kiukaanniemi
- Center for Life Course Health Research, University of Oulu, PO Box 8000, 90014 Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Krina Zondervan
- Endometriosis CaRe Centre, Nuffield Department of Obstetrics and Gyneacology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Ilkka Järvelä
- Department of Obstetrics and Gynaecology, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,PEDEGO Research Unit, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Markku Ryynänen
- Department of Obstetrics and Gynaecology, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,PEDEGO Research Unit, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
| | - Hannu Martikainen
- Department of Obstetrics and Gynaecology, Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,PEDEGO Research Unit, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014 Oulu, Finland
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28
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Bonder MJ, Kurilshikov A, Tigchelaar EF, Mujagic Z, Imhann F, Vila AV, Deelen P, Vatanen T, Schirmer M, Smeekens SP, Zhernakova DV, Jankipersadsing SA, Jaeger M, Oosting M, Cenit MC, Masclee AAM, Swertz MA, Li Y, Kumar V, Joosten L, Harmsen H, Weersma RK, Franke L, Hofker MH, Xavier RJ, Jonkers D, Netea MG, Wijmenga C, Fu J, Zhernakova A. The effect of host genetics on the gut microbiome. Nat Genet 2016; 48:1407-1412. [PMID: 27694959 DOI: 10.1038/ng.3663] [Citation(s) in RCA: 521] [Impact Index Per Article: 65.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 08/10/2016] [Indexed: 02/07/2023]
Abstract
The gut microbiome is affected by multiple factors, including genetics. In this study, we assessed the influence of host genetics on microbial species, pathways and gene ontology categories, on the basis of metagenomic sequencing in 1,514 subjects. In a genome-wide analysis, we identified associations of 9 loci with microbial taxonomies and 33 loci with microbial pathways and gene ontology terms at P < 5 × 10-8. Additionally, in a targeted analysis of regions involved in complex diseases, innate and adaptive immunity, or food preferences, 32 loci were identified at the suggestive level of P < 5 × 10-6. Most of our reported associations are new, including genome-wide significance for the C-type lectin molecules CLEC4F-CD207 at 2p13.3 and CLEC4A-FAM90A1 at 12p13. We also identified association of a functional LCT SNP with the Bifidobacterium genus (P = 3.45 × 10-8) and provide evidence of a gene-diet interaction in the regulation of Bifidobacterium abundance. Our results demonstrate the importance of understanding host-microbe interactions to gain better insight into human health.
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Affiliation(s)
- Marc Jan Bonder
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Alexander Kurilshikov
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia.,Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
| | - Ettje F Tigchelaar
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,Top Institute Food and Nutrition, Wageningen, the Netherlands
| | - Zlatan Mujagic
- Top Institute Food and Nutrition, Wageningen, the Netherlands.,Division of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Floris Imhann
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, the Netherlands
| | - Arnau Vich Vila
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, the Netherlands
| | - Patrick Deelen
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Tommi Vatanen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Department of Computer Science, Aalto University School of Science, Espoo, Finland
| | - Melanie Schirmer
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Sanne P Smeekens
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Daria V Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Soesma A Jankipersadsing
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, the Netherlands
| | - Martin Jaeger
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marije Oosting
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Maria Carmen Cenit
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Ad A M Masclee
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Yang Li
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Vinod Kumar
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Leo Joosten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hermie Harmsen
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the Netherlands
| | - Rinse K Weersma
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, the Netherlands
| | - Lude Franke
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Marten H Hofker
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, the Netherlands
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Gastrointestinal Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.,Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daisy Jonkers
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mihai G Netea
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud Center of Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Cisca Wijmenga
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands
| | - Jingyuan Fu
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, the Netherlands
| | - Alexandra Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.,Top Institute Food and Nutrition, Wageningen, the Netherlands
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Bonilla C, Lewis SJ, Rowlands MA, Gaunt TR, Davey Smith G, Gunnell D, Palmer T, Donovan JL, Hamdy FC, Neal DE, Eeles R, Easton D, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Wiklund F, Grönberg H, Haiman CA, Schleutker J, Nordestgaard BG, Travis RC, Pashayan N, Khaw KT, Stanford JL, Blot WJ, Thibodeau S, Maier C, Kibel AS, Cybulski C, Cannon-Albright L, Brenner H, Park J, Kaneva R, Batra J, Teixeira MR, Pandha H, Lathrop M, Martin RM, Holly JMP. Assessing the role of insulin-like growth factors and binding proteins in prostate cancer using Mendelian randomization: Genetic variants as instruments for circulating levels. Int J Cancer 2016; 139:1520-33. [PMID: 27225428 PMCID: PMC4957617 DOI: 10.1002/ijc.30206] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 04/04/2016] [Accepted: 04/07/2016] [Indexed: 02/02/2023]
Abstract
Circulating insulin-like growth factors (IGFs) and their binding proteins (IGFBPs) are associated with prostate cancer. Using genetic variants as instruments for IGF peptides, we investigated whether these associations are likely to be causal. We identified from the literature 56 single nucleotide polymorphisms (SNPs) in the IGF axis previously associated with biomarker levels (8 from a genome-wide association study [GWAS] and 48 in reported candidate genes). In ∼700 men without prostate cancer and two replication cohorts (N ∼ 900 and ∼9,000), we examined the properties of these SNPS as instrumental variables (IVs) for IGF-I, IGF-II, IGFBP-2 and IGFBP-3. Those confirmed as strong IVs were tested for association with prostate cancer risk, low (< 7) vs. high (≥ 7) Gleason grade, localised vs. advanced stage, and mortality, in 22,936 controls and 22,992 cases. IV analysis was used in an attempt to estimate the causal effect of circulating IGF peptides on prostate cancer. Published SNPs in the IGFBP1/IGFBP3 gene region, particularly rs11977526, were strong instruments for IGF-II and IGFBP-3, less so for IGF-I. Rs11977526 was associated with high (vs. low) Gleason grade (OR per IGF-II/IGFBP-3 level-raising allele 1.05; 95% CI: 1.00, 1.10). Using rs11977526 as an IV we estimated the causal effect of a one SD increase in IGF-II (∼265 ng/mL) on risk of high vs. low grade disease as 1.14 (95% CI: 1.00, 1.31). Because of the potential for pleiotropy of the genetic instruments, these findings can only causally implicate the IGF pathway in general, not any one specific biomarker.
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Affiliation(s)
- Carolina Bonilla
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Mari-Anne Rowlands
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Tom R Gaunt
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - David Gunnell
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Tom Palmer
- Department of Mathematics and Statistics, Lancaster University, Lancaster, United Kingdom
| | - Jenny L Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Freddie C Hamdy
- Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
| | - David E Neal
- Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom
- Surgical Oncology (Uro-Oncology: S4), University of Cambridge, Box 279, Addenbrooke's Hospital, Hills Road, Cambridge, United Kingdom
| | - Rosalind Eeles
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, United Kingdom
- Royal Marsden NHS Foundation Trust, Fulham and Sutton, London and Surrey, United Kingdom
| | - Doug Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom
| | - Zsofia Kote-Jarai
- The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, United Kingdom
| | - Ali Amin Al Olama
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom
| | - Sara Benlloch
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom
| | - Kenneth Muir
- University of Warwick, Coventry, United Kingdom
- Institute of Population Health, University of Manchester, Manchester, M13 9PL, United Kingdom
| | - Graham G Giles
- The Cancer Council Victoria, 615 St. Kilda Road, Melbourne, Victoria, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Victoria, 3010, Australia
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California
| | - Johanna Schleutker
- Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
- Institute of Biomedical Technology/BioMediTech, University of Tampere and FimLab Laboratories, Tampere, Finland
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, DK, 2730, Denmark
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Nora Pashayan
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, United Kingdom
- Department of Applied Health Research, University College London, 1-19 Torrington Place, London, WC1E 7HB, United Kingdom
| | - Kay-Tee Khaw
- Forvie Site, Cambridge Institute of Public Health, University of Cambridge, Robinson Way, Cambridge, CB2 0SR, United Kingdom
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - William J Blot
- International Epidemiology Institute, 1455 Research Blvd, Suite 550, Rockville, Maryland
| | | | - Christiane Maier
- Department of Urology, University Hospital Ulm, Germany
- Institute of Human Genetics, University Hospital Ulm, Germany
| | - Adam S Kibel
- Brigham and Women's Hospital/Dana-Farber Cancer Institute, 45 Francis Street-ASB II-3, Boston, Massachussets
- Washington University, St Louis, Missouri
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Lisa Cannon-Albright
- Division of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jong Park
- Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr, Tampa, Florida
| | - Radka Kaneva
- Molecular Medicine Center and Department of Medical Chemistry and Biochemistry, Medical University - Sofia, 2 Zdrave St, Sofia, 1431, Bulgaria
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), Porto University, Porto, Portugal
| | - Hardev Pandha
- The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom
| | - Mark Lathrop
- Commissariat à L'Energie Atomique, Center National De Génotypage, Evry, France
- McGill University-Génome Québec Innovation Centre, Montreal, Canada
| | - Richard M Martin
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- MRC/University of Bristol Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Unit in Nutrition, Bristol, United Kingdom
| | - Jeff M P Holly
- NIHR Bristol Biomedical Research Unit in Nutrition, Bristol, United Kingdom
- IGFs and Metabolic Endocrinology Group, School of Clinical Sciences North Bristol, University of Bristol, Bristol, United Kingdom
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Teumer A, Qi Q, Nethander M, Aschard H, Bandinelli S, Beekman M, Berndt SI, Bidlingmaier M, Broer L, Cappola A, Ceda GP, Chanock S, Chen M, Chen TC, Chen YI, Chung J, Del Greco Miglianico F, Eriksson J, Ferrucci L, Friedrich N, Gnewuch C, Goodarzi MO, Grarup N, Guo T, Hammer E, Hayes RB, Hicks AA, Hofman A, Houwing‐Duistermaat JJ, Hu F, Hunter DJ, Husemoen LL, Isaacs A, Jacobs KB, Janssen JAMJL, Jansson J, Jehmlich N, Johnson S, Juul A, Karlsson M, Kilpelainen TO, Kovacs P, Kraft P, Li C, Linneberg A, Liu Y, Loos RJF, Lorentzon M, Lu Y, Maggio M, Magi R, Meigs J, Mellström D, Nauck M, Newman AB, Pollak MN, Pramstaller PP, Prokopenko I, Psaty BM, Reincke M, Rimm EB, Rotter JI, Saint Pierre A, Schurmann C, Seshadri S, Sjögren K, Slagboom PE, Strickler HD, Stumvoll M, Suh Y, Sun Q, Zhang C, Svensson J, Tanaka T, Tare A, Tönjes A, Uh H, van Duijn CM, Heemst D, Vandenput L, Vasan RS, Völker U, Willems SM, Ohlsson C, Wallaschofski H, Kaplan RC. Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits. Aging Cell 2016; 15:811-24. [PMID: 27329260 PMCID: PMC5013013 DOI: 10.1111/acel.12490] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2016] [Indexed: 01/17/2023] Open
Abstract
The growth hormone/insulin‐like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF‐related proteins including IGF‐I and IGF‐binding protein‐3 (IGFBP‐3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer. Through genomewide association study of up to 30 884 adults of European ancestry from 21 studies, we confirmed and extended the list of previously identified loci associated with circulating IGF‐I and IGFBP‐3 concentrations (IGF1, IGFBP3,GCKR,TNS3, GHSR, FOXO3, ASXL2, NUBP2/IGFALS, SORCS2, and CELSR2). Significant sex interactions, which were characterized by different genotype–phenotype associations between men and women, were found only for associations of IGFBP‐3 concentrations with SNPs at the loci IGFBP3 and SORCS2. Analyses of SNPs, gene expression, and protein levels suggested that interplay between IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF‐I and IGFBP‐3 concentrations. The IGF‐I‐decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90 years. The known longevity‐associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF‐I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF‐I‐ and IGFBP‐3‐associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several loci associated with circulating IGF‐I and IGFBP‐3 concentrations and provides clues to the potential role of the IGF axis in mediating effects of known (FOXO3) and novel (ASXL2) longevity‐associated loci.
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Júnior GAF, Costa RB, de Camargo GMF, Carvalheiro R, Rosa GJM, Baldi F, Garcia DA, Gordo DGM, Espigolan R, Takada L, Magalhães AFB, Bresolin T, Feitosa FLB, Chardulo LAL, de Oliveira HN, de Albuquerque LG. Genome scan for postmortem carcass traits in Nellore cattle1. J Anim Sci 2016; 94:4087-4095. [DOI: 10.2527/jas.2016-0632] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
| | - R. B. Costa
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - G. M. F. de Camargo
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - R. Carvalheiro
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | | | - F. Baldi
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | - D. A. Garcia
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - D. G. M. Gordo
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - R. Espigolan
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - L. Takada
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - A. F. B. Magalhães
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - T. Bresolin
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - F. L. B. Feitosa
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
| | - L. A. L. Chardulo
- Faculdade de Medicina Veterinária e Zootecnia, UNESP, Botucatu, SP 18618-970, Brazil
- CNPq, Brasília, DF, Brazil
| | - H. N. de Oliveira
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
| | - L. G. de Albuquerque
- Faculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP 14884-000, Brazil
- CNPq, Brasília, DF, Brazil
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Qin Z, Li X, Tang J, Jiang X, Yu Y, Wang C, Xu W, Hua Y, Yu B, Zhang W. Association between insulin-like growth factor-binding protein-3 polymorphism-202 A/C and the risk of prostate cancer: a meta-analysis. Onco Targets Ther 2016; 9:5451-9. [PMID: 27660462 PMCID: PMC5021063 DOI: 10.2147/ott.s107595] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Some previous studies have investigated the relationship between insulin-like growth factor-binding protein-3 polymorphism and prostate cancer (PCa) susceptibility; however, the findings from those studies remain inconsistent. Hence, the aim of this meta-analysis was to provide a more reliable conclusion about such associations. Methods A meta-analysis based on twelve studies was conducted, and 8,341 PCa cases and 7,734 controls were included in this analysis. All relevant studies published till February 1, 2016, were identified by searching the databases such as PubMed, EMBASE, and Web of Science. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) in order to assess the strength of such associations. Publication bias was evaluated using Begg’s funnel plots and Egger’s regression test. Results Several articles provided data only for particular genotypes; therefore, only dominant model analyses were carried out for all of these studies. Initially, the results from this analysis indicated that rs2854744 was not associated with PCa susceptibility (OR=1.12, 95% CI=0.996–1.2). However, after excluding one study due to its heterogeneity and publication bias, a significant relationship was detected between rs2854744 and PCa risk (OR=1.10, 95% CI=1.03–1.17). When stratified by genotyping method, significant results were detected only in the Sequenom method group (OR=1.13, 95% CI=1.04–1.22). Moreover, the results from a subgroup analysis that was conducted by using source of controls were significant only in the population-based control group. Conclusion This meta-analysis suggested that the insulin-like growth factor-binding protein-3 polymorphism-202 A/C was associated with PCa susceptibility.
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Affiliation(s)
- Zhiqiang Qin
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University; Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Xiao Li
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University
| | - Jingyuan Tang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Xuping Jiang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Yajie Yu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Chengming Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Weizhang Xu
- Department of Thoracic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University; Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, People's Republic of China
| | - Yibo Hua
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
| | - Bin Yu
- Department of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University
| | - Wei Zhang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University
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Zhao JV, Schooling CM. Endogenous androgen exposures and ischemic heart disease, a separate sample Mendelian randomization study. Int J Cardiol 2016; 222:940-945. [PMID: 27526363 DOI: 10.1016/j.ijcard.2016.07.174] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 07/27/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Evolutionary biology suggests growth and reproduction trade-off against longevity. Correspondingly estrogen supplementation failed to increase lifespan. Testosterone supplementation is widely used by older men, although regulators have warned of its cardiovascular risk. No large trial of testosterone exists. We examined how genetic determinants of up-regulation (follicle-stimulating hormone (FSH)) and down-regulation (anti-Müllerian hormone (AMH) and testicular dysgenesis syndrome (TDS)) of mainly the male reproductive system are associated with ischemic heart disease (IHD). METHODS Separate sample instrumental variable analysis with genetic instruments, i.e., Mendelian randomization, was used to obtain unconfounded estimates using large case-control studies of coronary artery disease/myocardial infarction (CAD/MI) with extensive genotyping, i.e., CARDIoGRAMplusC4D (64,374 CAD/MI cases, 130,681controls), or CARDIoGRAMplusC4D 1000 Genomes (60,801 cases, 123,504 controls). RESULTS Genetically predicted FSH was positively associated with CAD/MI (odds ratio (OR) 1.08, 95% confidence interval (CI) 1.03 to 1.13 per mIU/mL FSH). Genetically predicted AMH and TDS were inversely associated with CAD/MI (OR 0.93, 95% CI 0.87 to 0.998 per ng/mL log AMH and OR 0.89, 95% CI 0.81 to 0.98 per log OR higher risk of TDS). CONCLUSIONS As expected from evolutionary biology, genetically predicted FSH, related to higher androgens in men and women, was positively associated with IHD, while genetically predicted AMH and TDS, related to lower androgens in men, were inversely associated with IHD. Androgens might be a modifiable causal factor underlying men's greater vulnerability to IHD, with corresponding implications for use of testosterone supplementation as well as for prevention and treatment of IHD.
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Affiliation(s)
- Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; City University of New York, School of Public Health and Health Policy, New York, NY, USA.
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Boggild S, Molgaard S, Glerup S, Nyengaard JR. Spatiotemporal patterns of sortilin and SorCS2 localization during organ development. BMC Cell Biol 2016; 17:8. [PMID: 26964886 PMCID: PMC4785631 DOI: 10.1186/s12860-016-0085-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 03/03/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Sortilin and SorCS2 are part of the Vps10p receptor family. They have both been studied in nervous tissue with several important functions revealed, while their expression and possible functions in developing peripheral tissue remain poorly understood. Here we deliver a thorough characterization of the prenatal localization of sortilin and SorCS2 in mouse peripheral tissue. RESULTS Sortilin is highly expressed in epithelial tissues of the developing lung, nasal cavity, kidney, pancreas, salivary gland and developing intrahepatic bile ducts. Furthermore tissues such as the thyroid gland, developing cartilage and ossifying bone also show high expression of sortilin together with cell types such as megakaryocytes in the liver. SorCS2 is primarily expressed in mesodermally derived tissues such as striated muscle, adipose tissue, ossifying bone and general connective tissue throughout the body, as well as in lung epithelia. Furthermore, the adrenal gland and liver show high expression of SorCS2 in embryos 13.5 days old. CONCLUSIONS The possible functions relating to the expression patterns of Sortilin and SorCS2 in development are numerous and hopefully this paper will help to generate new hypotheses to further our understanding of the Vps10p receptor family.
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Affiliation(s)
- Simon Boggild
- MIND Centre, Stereology and Electron Microscopy Laboratory, Aarhus University, 8000 C, Aarhus, Denmark. .,MIND Centre, Department of Biomedicine, Aarhus University, Ole Worms Allé 3, 8000 C, Aarhus, Denmark.
| | - Simon Molgaard
- MIND Centre, Stereology and Electron Microscopy Laboratory, Aarhus University, 8000 C, Aarhus, Denmark.,MIND Centre, Department of Biomedicine, Aarhus University, Ole Worms Allé 3, 8000 C, Aarhus, Denmark
| | - Simon Glerup
- MIND Centre, Department of Biomedicine, Aarhus University, Ole Worms Allé 3, 8000 C, Aarhus, Denmark
| | - Jens Randel Nyengaard
- MIND Centre, Stereology and Electron Microscopy Laboratory, Aarhus University, 8000 C, Aarhus, Denmark.,Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, 8000 C, Aarhus, Denmark
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Schmidt V, Willnow TE. Protein sorting gone wrong – VPS10P domain receptors in cardiovascular and metabolic diseases. Atherosclerosis 2016; 245:194-9. [DOI: 10.1016/j.atherosclerosis.2015.11.027] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 11/04/2015] [Accepted: 11/23/2015] [Indexed: 01/02/2023]
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36
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Aissani B, Zhang K, Wiener H. Genetic determinants of uterine fibroid size in the multiethnic NIEHS uterine fibroid study. INTERNATIONAL JOURNAL OF MOLECULAR EPIDEMIOLOGY AND GENETICS 2015; 6:9-19. [PMID: 26417400 PMCID: PMC4572088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 08/21/2015] [Indexed: 06/05/2023]
Abstract
We conducted a follow-up association study across extended candidate chromosomal regions for uterine leiomyoma (UL), or fibroids, to search for loci influencing the size of UL in 916 premenopausal North American women participants to the NIEHS uterine fibroid study. Proportional odds models with adjustments for confounders were fitted to evaluate the association of a final set of 2,484 single nucleotide polymorphisms (SNPs) with the size of uterine fibroids measured by transabdominal and transvaginal ultrasounds. SNP association with UL size was tested in a case-only design comparing three categories of tumor size (small, medium and large tumors) and in a design that included UL-free controls as the lowest category of a four-level ordinal outcome to account for misclassifications due to small, undetected tumors. In the case-only design, rs2285789 in SORCS2 (sortilin-related VPS10 domain containing receptor 2) was the sole variant that remained significant after correction for multiple testing (Bonferroni-adjusted P=0.037). Several other SNPs, namely those located in MYT1L, TMCC1 and BRCA1, reached promising associations. In the design that included the controls, several genes of potential relevance to UL pathogenesis were associated (Bonferroni-unadjusted P < 0.01) with tumor size, particularly LIFR-AS1 (leukemia inhibitory factor receptor alpha-antisense RNA 1), which showed the strongest association (Bonferroni-unadjusted P=0.0006) among the genes with regulated expression in UL. In conclusion, SORCS2, a known GWAS candidate for circulating IGF-I and IGFBP-3, may act through IGF-I signaling to affect the size of fibroids. Through down-regulation of LIFR, LIFR-AS1 may mediate the inhibitory action of LIF (leukemia inhibitory factor), a cytokine involved in embryonic uterine development. Replication analyses are needed to substantiate our reported associations of SORCS2 and LIFR-AS1 with the size of fibroids.
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Affiliation(s)
- Brahim Aissani
- Department of Epidemiology, University of Alabama at BirminghamBirmingham 35294, AL. USA
| | - Kui Zhang
- Department of Biostatistics, University of Alabama at BirminghamBirmingham 35294, AL. USA
| | - Howard Wiener
- Department of Epidemiology, University of Alabama at BirminghamBirmingham 35294, AL. USA
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He YH, Lu X, Yang LQ, Xu LY, Kong QP. Association of the insulin-like growth factor binding protein 3 (IGFBP-3) polymorphism with longevity in Chinese nonagenarians and centenarians. Aging (Albany NY) 2015; 6:944-56. [PMID: 25553725 PMCID: PMC4276788 DOI: 10.18632/aging.100703] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Human lifespan is determined greatly by genetic factors and some investigations have identified putative genes implicated in human longevity. Although some genetic loci have been associated with longevity, most of them are difficult to replicate due to ethnic differences. In this study, we analyzed the association of 18 reported gene single nucleotide polymorphisms (SNPs) with longevity in 1075 samples consisting of 567 nonagenarians/centenarians and 508 younger controls using the GenomeLab SNPstream Genotyping System. Our results confirm the association of the forkhead box O3 (FOXO3) variant (rs13217795) and the ATM serine/threonine kinase (ATM) variant (rs189037) genotypes with longevity (p=0.0075 and p=0.026, using the codominant model and recessive model, respectively). Of note is that we first revealed the association of insulin-like growth factor binding protein 3 (IGFBP-3) gene polymorphism rs11977526 with longevity in Chinese nonagenarians/centenarians (p=0.033 using the dominant model and p=0.035 using the overdominant model). The FOXO3 and IGFBP-3 form important parts of the insulin/insulin-like growth factor-1 signaling pathway (IGF-1) implicated in human longevity, and the ATM gene is involved in sensing DNA damage and reducing oxidative stress, therefore our results highlight the important roles of insulin pathway and oxidative stress in the longevity in the Chinese population.
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Affiliation(s)
- Yong-Han He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming 650223, China. KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Xiang Lu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming 650223, China. KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming 650223, China. KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Liang-You Xu
- Dujiangyan Longevity Research Centre, Dujiangyan 611830, China
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming 650223, China. KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
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Yang CW, Li TC, Li CI, Liu CS, Lin CH, Lin WY, Lin CC. Insulinlike Growth Factor-1 and Its Binding Protein-3 Polymorphisms Predict Circulating IGF-1 Level and Appendicular Skeletal Muscle Mass in Chinese Elderly. J Am Med Dir Assoc 2015; 16:365-70. [DOI: 10.1016/j.jamda.2014.11.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 11/21/2014] [Accepted: 11/21/2014] [Indexed: 02/01/2023]
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Aschard H, Vilhjálmsson B, Joshi A, Price A, Kraft P. Adjusting for heritable covariates can bias effect estimates in genome-wide association studies. Am J Hum Genet 2015; 96:329-39. [PMID: 25640676 DOI: 10.1016/j.ajhg.2014.12.021] [Citation(s) in RCA: 175] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Accepted: 12/17/2014] [Indexed: 11/25/2022] Open
Abstract
In recent years, a number of large-scale genome-wide association studies have been published for human traits adjusted for other correlated traits with a genetic basis. In most studies, the motivation for such an adjustment is to discover genetic variants associated with the primary outcome independently of the correlated trait. In this report, we contend that this objective is fulfilled when the tested variants have no effect on the covariate or when the correlation between the covariate and the outcome is fully explained by a direct effect of the covariate on the outcome. For all other scenarios, an unintended bias is introduced with respect to the primary outcome as a result of the adjustment, and this bias might lead to false positives. Here, we illustrate this point by providing examples from published genome-wide association studies, including large meta-analysis of waist-to-hip ratio and waist circumference adjusted for body mass index (BMI), where genetic effects might be biased as a result of adjustment for body mass index. Using both theory and simulations, we explore this phenomenon in detail and discuss the ramifications for future genome-wide association studies of correlated traits and diseases.
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Müller C, Wallaschofski H, Brabant G, Wahnschaffe U, Samietz S, Nauck M, Friedrich N. The association between IGF-I/IGFBP-3 and subclinical end points: epidemiology faces the limits. J Clin Endocrinol Metab 2014; 99:2804-12. [PMID: 24823454 DOI: 10.1210/jc.2013-3746] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The variation in laboratory measurements represents a challenge in clinical practice and epidemiological research. The use of different analytical platforms might have led to different results, which were often discussed in the interpretation of conflicting results. We aim to study the impact of two different IGF-I and IGF binding protein 3 assays on published epidemiological studies. METHODS We compared epidemiological results based on the previous gold standard Nichols Advantage, which is no longer available, with these based on the IDS-iSYS assay. The latter follows the recently proposed Keswick criteria. We reinvestigated published association studies between IGF-I or IGF binding protein 3 and anthropometry, subclinical cardiovascular diseases including intima-media thickness or left ventricular mass index, and hard end points like mortality and single-nucleotide polymorphisms of our genome-wide association study in the Study of Health in Pomerania. RESULTS We demonstrated that there are significant differences in the associations of IGF-I measured by the Nichols or IDS-iSYS assay and subclinical outcomes including intima-media thickness and left ventricular mass index. However, concerning hard outcomes like mortality or single-nucleotide polymorphisms, our analyses revealed similar results with comparable regression estimates. CONCLUSION With our study we queried not only the accuracy of measurement but also the effect of different methods on study results. The establishment of laboratory standards like the Keswick criteria should be enforced to allow reliable comparisons of different methods and thus clinical and epidemiological studies. Single-center studies have to be interpreted carefully. Moreover, to assure the reliability of studies, their results should be replicated in a meta-analysis, and a generated hypothesis by epidemiology should be proven by intervention studies.
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Affiliation(s)
- Christiane Müller
- Institute of Clinical Chemistry and Laboratory Medicine (C.M., H.W., M.N., N.F.) and Department of Prosthetic Dentistry, Gerodontology, and Biomaterials (S.S.), Center of Oral Health, University Medicine Greifswald, 17475 Greifswald, Germany; Med Clinic I (G.B.), University of Lübeck, 23538 Lübeck, Germany; and Klinik für Innere Medizin I (U.W.), Evangelisches Waldkrankenhaus Spandau, 13589 Berlin, Germany
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Beasley JM, Wedick NM, Rajpathak SN, Xue X, Holmes MD, Gunter MJ, Wylie-Rosett J, Rohan TE, Pollak M, Kaplan RC, Hu FB, Sun Q, Strickler HD. Circulating IGF-axis protein levels and their relation with levels of plasma adipocytokines and macronutrient consumption in women. Growth Horm IGF Res 2014; 24:142-9. [PMID: 24888819 PMCID: PMC4190839 DOI: 10.1016/j.ghir.2014.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 04/28/2014] [Indexed: 10/25/2022]
Abstract
OBJECTIVE Circulating free insulin-like growth factor (IGF)-I and its binding proteins, most notably, IGFBP-1 and IGFBP-2, have been prospectively associated with incident type 2 diabetes in women. However, little is known regarding the factors that may influence these IGF-axis protein levels. The aim is to study the relation of IGF-axis protein levels with adipcytokines, macronutrient consumption, and other factors related to diabetes. DESIGN Fasting plasma from 558 controls enrolled in a nested case-control study within the Nurses' Health Study of incident type 2 diabetes in women was tested for: IGF-axis proteins (free and total IGF-I, IGFBP-1, IGFBP-2, IGFBP-3), adipocytokines (leptin, adiponectin, resistin), soluble leptin receptor (sOB-R), inflammatory factors (IL-18 and C-reactive protein (CRP)), insulin, and glycated hemoglobin (HbA1C). RESULTS In multivariate models, each 1% increase in sOB-R (mean 34.9ng/mL, standard deviation (SD) ±11.3) was associated with -0.20% total IGF-I (P=0.0003) and -0.42% free IGF-I (P=0.002), as well as 0.73% higher IGFBP-1 (P<0.0001) and 0.27% IGFBP-2 (P=0.003). For example, a one SD change from the mean sOB-R level was associated with 11% lower free IGF-I. Insulin levels (mean 6.8μU/mL±5.3) were inversely and adiponectin (mean 18.3μg/mL±7.4) positively associated with IGFBP-1 and IGFBP-2 (all P<0.01). Consumption of dairy protein, monounsaturated fats, and saturated fats, was also correlated with IGF-axis protein levels (all P<0.05). CONCLUSIONS Several molecular factors and macronutrients were independently associated with plasma IGF-axis protein levels. Which of these, if any, reflect biologic relationships that can be intervened upon to influence IGF-axis protein concentrations warrants further investigation.
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Affiliation(s)
- Jeannette M Beasley
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
| | - Nicole M Wedick
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States
| | - Swapnil N Rajpathak
- US Outcomes Research, US Medical Affairs, Merck & Co., North Wales, PA, United States
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michelle D Holmes
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Marc J Gunter
- Department of Epidemiology Biostatistics, School of Public Health, Imperial College, London, UK
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michael Pollak
- Department of Medicine and Oncology, Cancer Prevention Research Unit, Lady Davis Research Institute of Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Frank B Hu
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Qi Sun
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States
| | - Howard D Strickler
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
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Yuan R, Gatti DM, Krier R, Malay E, Schultz D, Peters LL, Churchill GA, Harrison DE, Paigen B. Genetic Regulation of Female Sexual Maturation and Longevity Through Circulating IGF1. J Gerontol A Biol Sci Med Sci 2014; 70:817-26. [PMID: 25070661 DOI: 10.1093/gerona/glu114] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 06/11/2014] [Indexed: 01/27/2023] Open
Abstract
We previously reported that insulin-like growth factor 1 (IGF1) was involved in coregulating female sexual maturation and longevity. To understand the underlying genetic mechanisms, based on the strain survey assays of development and aging traits, we crossed two mouse strains, KK/HIJ and PL/J, and produced 307 female F2 mice. We observed the age of vaginal patency (AVP) and the life span of these females. We also measured circulating IGF1 level at 7, 16, 24, 52, and 76 weeks. IGF1 level at 7 weeks significantly correlated with AVP. IGF1 levels at ages of 52 and 76 weeks negatively correlated with longevity (p ≤ .05). A gene mapping study found 22, 4 ,and 3 quantitative trait loci for IGF1, AVP, and life span, respectively. Importantly, the colocalization of IGF1, AVP, and life span quantitative trait loci in the distal region of chromosome 2 suggests this locus carries gene(s) that could regulate IGF1, AVP, and life span. In this region, proprotein convertase subtilisin/kexin type 2 has been found to be associated with female sexual maturation in a human genome-wide association study. We verified the roles of proprotein convertase subtilisin/kexin type 2 in regulating IGF1 and AVP by showing that depletion of proprotein convertase subtilisin/kexin type 2 significantly reduced IGF1 and delayed AVP in mice, suggesting that it also might be involved in the regulation of aging.
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Affiliation(s)
- Rong Yuan
- The Jackson Laboratory, Bar Harbor, Maine. Geriatric Research Division, Internal Medicine, School of Medicine, Southern Illinois University, Springfield.
| | | | - Rebecca Krier
- The Jackson Laboratory, Bar Harbor, Maine. Division of Allergy-Immunology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Ganesh S, Chasman D, Larson M, Guo X, Verwoert G, Bis J, Gu X, Smith A, Yang ML, Zhang Y, Ehret G, Rose L, Hwang SJ, Papanicolau G, Sijbrands E, Rice K, Eiriksdottir G, Pihur V, Ridker P, Vasan R, Newton-Cheh C, Raffel LJ, Amin N, Rotter JI, Liu K, Launer LJ, Xu M, Caulfield M, Morrison AC, Johnson AD, Vaidya D, Dehghan A, Li G, Bouchard C, Harris TB, Zhang H, Boerwinkle E, Siscovick DS, Gao W, Uitterlinden AG, Rivadeneira F, Hofman A, Willer CJ, Franco OH, Huo Y, Witteman JC, Munroe PB, Gudnason V, Palmas W, van Duijn C, Fornage M, Levy D, Psaty BM, Chakravarti A, Newton-Cheh C, Johnson T, Gateva V, Tobin M, Bochud M, Coin L, Najjar S, Zhao J, Heath S, Eyheramendy S, Papadakis K, Voight B, Scott L, Zhang F, Farrall M, Tanaka T, Wallace C, Chambers J, Khaw KT, Nilsson P, van der Harst P, Polidoro S, Grobbee D, Onland-Moret N, Bots M, Wain L, Elliott K, Teumer A, Luan J, Lucas G, Kuusisto J, Burton P, Hadley D, McArdle W, Brown M, Dominiczak A, Newhouse S, Samani N, Webster J, Zeggini E, Beckmann J, Bergmann S, Lim N, Song K, Vollenweider P, Waeber G, Waterworth D, Yuan X, Groop L, Orho-Melander M, Allione A, Di Gregorio A, Guarrera S, Panico S, Ricceri F, Romanazzi V, Sacerdote C, Vineis P, Barroso I, Sandhu M, Luben R, Crawford G, Jousilahti P, Perola M, Boehnke M, Bonnycastle L, Collins F, Jackson A, Mohlke K, Stringham H, Valle T, Willer C, Bergman R, Morken M, Döring A, Gieger C, Illig T, Meitinger T, Org E, Pfeufer A, Wichmann H, Kathiresan S, Marrugat J, O’Donnell C, Schwartz S, Siscovick D, Subirana I, Freimer N, Hartikainen AL, McCarthy M, O’Reilly P, Peltonen L, Pouta A, de Jong P, Snieder H, van Gilst W, Clarke R, Goel A, Hamsten A, Peden J, Seedorf U, Syvänen AC, Tognoni G, Lakatta E, Sanna S, Scheet P, Schlessinger D, Scuteri A, Dörr M, Ernst F, Felix S, Homuth G, Lorbeer R, Reffelmann T, Rettig R, Völker U, Galan P, Gut I, Hercberg S, Lathrop G, Zeleneka D, Deloukas P, Soranzo N, Williams F, Zhai G, Salomaa V, Laakso M, Elosua R, Forouhi N, Völzke H, Uiterwaal C, van der Schouw Y, Numans M, Matullo G, Navis G, Berglund G, Bingham S, Kooner J, Paterson A, Connell J, Bandinelli S, Ferrucci L, Watkins H, Spector T, Tuomilehto J, Altshuler D, Strachan D, Laan M, Meneton P, Wareham N, Uda M, Jarvelin MR, Mooser V, Melander O, Loos R, Elliott P, Abecasis G, Caulfield M, Munroe P. Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. Am J Hum Genet 2014; 95:49-65. [PMID: 24975945 DOI: 10.1016/j.ajhg.2014.06.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 06/03/2014] [Indexed: 01/11/2023] Open
Abstract
Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.
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Evans DS, Cailotto F, Parimi N, Valdes AM, Castaño-Betancourt MC, Liu Y, Kaplan RC, Bidlingmaier M, Vasan RS, Teumer A, Tranah GJ, Nevitt MC, Cummings SR, Orwoll ES, Barrett-Connor E, Renner JB, Jordan JM, Doherty M, Doherty SA, Uitterlinden AG, van Meurs JBJ, Spector TD, Lories RJ, Lane NE. Genome-wide association and functional studies identify a role for IGFBP3 in hip osteoarthritis. Ann Rheum Dis 2014; 74:1861-7. [PMID: 24928840 DOI: 10.1136/annrheumdis-2013-205020] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Accepted: 05/22/2014] [Indexed: 01/10/2023]
Abstract
OBJECTIVES To identify genetic associations with hip osteoarthritis (HOA), we performed a meta-analysis of genome-wide association studies (GWAS) of HOA. METHODS The GWAS meta-analysis included approximately 2.5 million imputed HapMap single nucleotide polymorphisms (SNPs). HOA cases and controls defined radiographically and by total hip replacement were selected from the Osteoporotic Fractures in Men (MrOS) Study and the Study of Osteoporotic Fractures (SOF) (654 cases and 4697 controls, combined). Replication of genome-wide significant SNP associations (p ≤5×10(-8)) was examined in five studies (3243 cases and 6891 controls, combined). Functional studies were performed using in vitro models of chondrogenesis and osteogenesis. RESULTS The A allele of rs788748, located 65 kb upstream of the IGFBP3 gene, was associated with lower HOA odds at the genome-wide significance level in the discovery stage (OR 0.71, p=2×10(-8)). The association replicated in five studies (OR 0.92, p=0.020), but the joint analysis of discovery and replication results was not genome-wide significant (p=1×10(-6)). In separate study populations, the rs788748 A allele was also associated with lower circulating IGFBP3 protein levels (p=4×10(-13)), suggesting that this SNP or a variant in linkage disequilibrium could be an IGFBP3 regulatory variant. Results from functional studies were consistent with association results. Chondrocyte hypertrophy, a deleterious event in OA pathogenesis, was largely prevented upon IGFBP3 knockdown in chondrocytes. Furthermore, IGFBP3 overexpression induced cartilage catabolism and osteogenic differentiation. CONCLUSIONS Results from GWAS and functional studies provided suggestive links between IGFBP3 and HOA.
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Affiliation(s)
- Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Frederic Cailotto
- Laboratory of Tissue Homeostasis and Disease, Department of Development and Regeneration, Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium
| | - Neeta Parimi
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Ana M Valdes
- Department of Academic Rheumatology, University of Nottingham, Nottingham City Hospital, Nottingham, UK
| | - Martha C Castaño-Betancourt
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, The Netherlands
| | - Youfang Liu
- Departments of Medicine and Orthopedics, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Martin Bidlingmaier
- Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Ramachandran S Vasan
- California Pacific Medical Center Research Institute, San Francisco, California, USA Laboratory of Tissue Homeostasis and Disease, Department of Development and Regeneration, Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium Department of Academic Rheumatology, University of Nottingham, Nottingham City Hospital, Nottingham, UK Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, The Netherlands Departments of Medicine and Orthopedics, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA Albert Einstein College of Medicine, Bronx, New York, USA Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität München, Munich, Germany Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, USA Institute of Functional Genomics, Ernst Moritz Arndt University, University of Greifswald, Greifswald, Germany Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA School of Medicine, Oregon Health & Science University, Portland, Oregon, USA Division of Epidemiology, Departments of Family and Preventive Medicine and Medicine, University of California San Diego, La Jolla, California, USA Departments of Medicine and Radiology, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands Department of Twin Research and Genetic Epidemiology Unit, King's College London, London, UK Division of Rheumatology, University Hospitals Leuven, Leuven, Belgium University of California at Davis, Sacramento, California, USA
| | - Alexander Teumer
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, Massachusetts, USA Institute of Functional Genomics, Ernst Moritz Arndt University, University of Greifswald, Greifswald, Germany
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, California, USA Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Michael C Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Eric S Orwoll
- School of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Elizabeth Barrett-Connor
- Division of Epidemiology, Departments of Family and Preventive Medicine and Medicine, University of California San Diego, La Jolla, California, USA
| | - Jordan B Renner
- Departments of Medicine and Radiology, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joanne M Jordan
- Departments of Medicine and Orthopedics, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael Doherty
- Department of Academic Rheumatology, University of Nottingham, Nottingham City Hospital, Nottingham, UK
| | - Sally A Doherty
- Department of Academic Rheumatology, University of Nottingham, Nottingham City Hospital, Nottingham, UK
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, The Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology Unit, King's College London, London, UK
| | - Rik J Lories
- Laboratory of Tissue Homeostasis and Disease, Department of Development and Regeneration, Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium Division of Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Nancy E Lane
- University of California at Davis, Sacramento, California, USA
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Franco L, Williams FMK, Trofimov S, Malkin I, Surdulescu G, Spector T, Livshits G. Assessment of age-related changes in heritability and IGF-1 gene effect on circulating IGF-1 levels. AGE (DORDRECHT, NETHERLANDS) 2014; 36:9622. [PMID: 24493200 PMCID: PMC4082604 DOI: 10.1007/s11357-014-9622-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2013] [Accepted: 01/20/2014] [Indexed: 05/19/2023]
Abstract
It is well established that insulin-like growth factor 1 (IGF-1) circulating levels correlate with age and that heritability and influence of IGF-1 gene variation on IGF-1 levels also well-known. However, the influence of age on the genetic factors determining IGF-1 levels is not clear. In this study, we compared heritability estimates between younger (<52 years) and older (>52 years) twins and tested: (a) whether single nucleotide polymorphisms (SNPs) lying within 100 kbp of the IGF-1 gene are also associated with IGF-1 variation and (b) whether associated SNPs show interaction with age on IGF-1 levels. To achieve these aims, we measured plasma levels of IGF-1 and genotyped 18 SNPs with minor allele frequency >0.1 in a large sample, 4,471 UK female twins. Heritability explained 42 % of IGF-1 variation adjusted for age and in unadjusted sample was independent of age. Ten SNPs in four haploblocks showed significant association with IGF-1 levels, with p = 0.01-0.0005. The most distal SNP was located up to 90 kbp from the IGF-1 gene. When their age-dependent effects were examined, one SNP, rs855203, showed significant (p = 0.0009) age-dependent interaction effect on IGF-1 levels variation. This is the first study to test the age × genotype interaction in IGF-1 levels. The genomic region marked by rs855203 may consequently be of significance for further molecular and pharmacogenetic research, in particular in advanced age.
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Affiliation(s)
- Liran Franco
- />Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Frances M. K. Williams
- />Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Svetlana Trofimov
- />Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ida Malkin
- />Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gabriela Surdulescu
- />Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Timothy Spector
- />Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Gregory Livshits
- />Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- />Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- />Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978 Israel
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Bidlingmaier M, Friedrich N, Emeny RT, Spranger J, Wolthers OD, Roswall J, Körner A, Obermayer-Pietsch B, Hübener C, Dahlgren J, Frystyk J, Pfeiffer AFH, Doering A, Bielohuby M, Wallaschofski H, Arafat AM. Reference intervals for insulin-like growth factor-1 (igf-i) from birth to senescence: results from a multicenter study using a new automated chemiluminescence IGF-I immunoassay conforming to recent international recommendations. J Clin Endocrinol Metab 2014; 99:1712-21. [PMID: 24606072 DOI: 10.1210/jc.2013-3059] [Citation(s) in RCA: 249] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
CONTEXT Measurement of IGF-I is a cornerstone in diagnosis and monitoring of GH-related diseases, but considerable discrepancies exist between analytical methods. A recent consensus conference defined criteria for validation of IGF-I assays and for establishment of normative data. OBJECTIVES Our objectives were development and validation of a novel automated IGF-I immunoassay (iSYS; Immunodiagnostic Systems) according to international guidelines and establishment of method-specific age- and sex-adjusted reference intervals and analysis of their robustness. SETTING AND PARTICIPANTS We conducted a multicenter study with samples from 12 cohorts from the United States, Canada, and Europe including 15 014 subjects (6697 males and 8317 females, 0-94 years of age). MAIN OUTCOME MEASURES We measured concentrations of IGF-I as determined by the IDS iSYS IGF-I assay. RESULTS A new IGF-I assay calibrated against the recommended standard (02/254) and insensitive to the 6 high-affinity IGF binding proteins was developed and rigorously validated. Age- and sex-adjusted reference intervals derived from a uniquely large cohort reflect the age-related pattern of IGF-I secretion: a decline immediately after birth followed by an increase until a pubertal peak (at 15 years of age). Later in life, values decrease continuously. The impact of gender is small, although across the lifespan, women have lower mean IGF-I concentrations. Geographical region, sampling setting (community or hospital based), and rigor of exclusion criteria in our large cohort did not affect the reference intervals. CONCLUSIONS Using large cohorts of well-characterized subjects from different centers allowed construction of robust reference ranges for a new automated IGF-I assay. The strict adherence to recent consensus criteria for IGF-I assays might facilitate clinical application of the results.
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Affiliation(s)
- Martin Bidlingmaier
- Endocrine Research Laboratories (M.Bid., M.Bie.), Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, 80336 Munich, Germany; Metabolic Center (N.F., H.W.), Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany; Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH) (R.T.E., A.D.), Institute of Epidemiology II, 85764 Neuherberg, Germany; Department of Endocrinology, Diabetes, and Nutrition (J.S., A.F.H.P., A.M.A.), Charité-University Medicine Berlin, 10117 Berlin, Germany; Experimental and Clinical Research Center (J.S.), Charité-University Medicine Berlin and Max-Delbrück Centre Berlin-Buch, 13125 Berlin, Germany; Center for Cardiovascular Research (J.S., A.M.A.), Charité-University Medicine Berlin, 10115 Berlin, Germany; Children's Clinic Randers (O.D.W.), DK-8900 Randers, Denmark; Göteborg Pediatric Growth Research Center (J.R.), The Sahlgrenska Academy at University of Gothenburg, 41685 Gothenburg, Sweden; Center for Pediatric Research (A.K.), Hospital for Children and Adolescents, Department of Women's and Child Health, University of Leipzig, 04103 Leipzig, Germany; Klinische Abteilung und Labor für Endokrinologie und Stoffwechsel (B.O.-P.), Universitätsklinik für Innere Medizin, Medizinische Universität Graz, 8036 Graz, Austria; Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe-Grosshadern (C.H.), Klinikum der Universität München, 81377 Munich, Germany; Medical Research Laboratory (J.F.), Department of Clinical Medicine, Faculty of Health, Aarhus University, DK-8000 Aarhus, Denmark; Department of Endocrinology and Internal Medicine (J.F.), Aarhus University Hospital, DK-8000 Aarhus, Denmark; and Department of Clinical Nutrition (A.F.H.P., A.M.A.), German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany
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Véron A, Blein S, Cox DG. Genome-wide association studies and the clinic: a focus on breast cancer. Biomark Med 2014; 8:287-96. [DOI: 10.2217/bmm.13.121] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Breast cancer is the most frequently diagnosed cancer among women worldwide, and has long been considered to be a genetic disease. A wide range of genetic variants, both rare mutations and more common variants, have been shown to influence breast cancer risk. In particular, recent studies have identified a number of common genetic variants, or single nucleotide polymorphisms, that are associated with breast cancer risk. In this review, we will briefly present the genetic epidemiology of breast cancer, genome-wide association study technology and how this technology may influence breast cancer screening in the clinic.
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Affiliation(s)
- Amélie Véron
- Université de Lyon, F-69000 Lyon, France
- Université Lyon 1, ISPB, Lyon, F-69622, France
- INSERM U1052, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- Centre Léon Bérard, F-69008 Lyon, France
| | - Sophie Blein
- Université de Lyon, F-69000 Lyon, France
- Université Lyon 1, ISPB, Lyon, F-69622, France
- INSERM U1052, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- Centre Léon Bérard, F-69008 Lyon, France
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Kang HS, Ahn SH, Mishra SK, Hong KM, Lee ES, Shin KH, Ro J, Lee KS, Kim MK. Association of polymorphisms and haplotypes in the insulin-like growth factor 1 receptor (IGF1R) gene with the risk of breast cancer in Korean women. PLoS One 2014; 9:e84532. [PMID: 24392142 PMCID: PMC3879335 DOI: 10.1371/journal.pone.0084532] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Accepted: 11/15/2013] [Indexed: 11/18/2022] Open
Abstract
The insulin-like growth factor (IGF) signaling pathway plays an important role in cancer biology. The IGF 1 receptor (IGF1R) overexpression has been associated with a number of hematological neoplasias and solid tumors including breast cancer. However, molecular mechanism involving IGF1R in carcinogenic developments is clearly not known. We investigated the genetic variations across the IGF1R polymorphism and the risk of breast cancer risk in Korean women. A total of 1418 individuals comprising 1026 breast cancer cases and 392 age-matched controls of Korean were included for the analysis. Genomic DNA was extracted from whole blood and single nucleotide polymorphisms (SNPs) were analyzed on the GoldenGate Assay system by Illumina’s Custom Genetic Analysis service. SNPs were selected for linkage disequilibrium (LD) analysis by Haploview. We genotyped total 51 SNPs in the IGF1R gene and examined for association with breast cancer. All the SNPs investigated were in Hardy-Weinberg equilibrium. These SNPs tested were significantly associated with breast cancer risk, after correction for multiple comparisons by adjusting for age at diagnosis, BMI, age at menarche, and age at first parturition. Among 51 IGF1R SNPs, five intron located SNPs (rs8032477, rs7175052, rs12439557, rs11635251 and rs12916884) with homozygous genotype (variant genotype) were associated with decreased risk of breast cancer. Fisher’s combined p-value for the five SNPs was 0.00032. Three intron located SNPs with heterozygous genotypes also had decreased risk of breast cancer. Seven of the 51 IGF1R SNPs were in LD and in one haplotype block, and were likely to be associated with breast cancer risk. Overall, this case-control study demonstrates statistically significant associations between breast cancer risk and polymorphisms in IGF1R gene.
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Affiliation(s)
- Han-Sung Kang
- Center for Breast Cancer, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Sei Hyun Ahn
- Department of Surgery, Division of Breast and Endocrine Surgery, Asan Medical Center, Seoul, Republic of Korea
| | - Siddhartha Kumar Mishra
- Division of Cancer Epidemiology, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Kyeong-Man Hong
- Division of Cancer Biology, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Eun Sook Lee
- Center for Breast Cancer, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Kyung Hwan Shin
- Center for Breast Cancer, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Jungsil Ro
- Center for Breast Cancer, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Keun Seok Lee
- Center for Breast Cancer, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
| | - Mi Kyung Kim
- Division of Cancer Epidemiology, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea
- * E-mail:
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Wang T, Zhou B, Guo T, Bidlingmaier M, Wallaschofski H, Teumer A, Vasan RS, Kaplan RC. A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations. Genet Epidemiol 2013; 38:162-71. [PMID: 24446417 DOI: 10.1002/gepi.21766] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 08/16/2013] [Accepted: 09/17/2013] [Indexed: 11/06/2022]
Abstract
Genome-wide association studies (GWAS) offer an excellent opportunity to identify the genetic variants underlying complex human diseases. Successful utilization of this approach requires a large sample size to identify single nucleotide polymorphisms (SNPs) with subtle effects. Meta-analysis is a cost-efficient means to achieve large sample size by combining data from multiple independent GWAS; however, results from studies performed on different populations can be variable due to various reasons, including varied linkage equilibrium structures as well as gene-gene and gene-environment interactions. Nevertheless, one should expect effects of the SNP are more similar between similar populations than those between populations with quite different genetic and environmental backgrounds. Prior information on populations of GWAS is often not considered in current meta-analysis methods, rendering such analyses less optimal for the detecting association. This article describes a test that improves meta-analysis to incorporate variable heterogeneity among populations. The proposed method is remarkably simple in computation and hence can be performed in a rapid fashion in the setting of GWAS. Simulation results demonstrate the validity and higher power of the proposed method over conventional methods in the presence of heterogeneity. As a demonstration, we applied the test to real GWAS data to identify SNPs associated with circulating insulin-like growth factor I concentrations.
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Affiliation(s)
- Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
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Rzehak P, Grote V, Lattka E, Weber M, Gruszfeld D, Socha P, Closa-Monasterolo R, Escribano J, Giovannini M, Verduci E, Goyens P, Martin F, Langhendries JP, Demmelmair H, Klopp N, Illig T, Koletzko B. Associations of IGF-1 gene variants and milk protein intake with IGF-I concentrations in infants at age 6 months - results from a randomized clinical trial. Growth Horm IGF Res 2013; 23:149-158. [PMID: 23800627 DOI: 10.1016/j.ghir.2013.05.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Revised: 05/08/2013] [Accepted: 05/31/2013] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The interplay of genetic and nutritional regulation of the insulin-like growth factor-I axis in children is unclear. Therefore, potential gene-nutrient effects on serum levels of the IGF-I axis in a formula feeding trial were studied. DESIGN European multicenter randomized clinical trial of 1090 term, formula-fed infants assigned to receive cow's milk-based infant and follow-on formulae with lower (LP: 1.25 and 1.6 g/100 mL) or higher (HP: 2.05 and 3.2 g/100 mL) protein contents for the first 12 months of life; a comparison group of 588 breastfed infants (BF) was included. Eight single nucleotide polymorphisms (SNPs) of the IGF-1-(rs6214, rs1520220, rs978458, rs7136446, rs10735380, rs2195239, rs35767, and rs35766) and two of the IGFBP-3-(rs1496495, rs6670) gene were analyzed. Serum levels of total and free IGF-I, IGFBP-3 and the molar ratio IGF-1/IGFBP-3 at age 6 months were regressed on determined SNPs and feeding groups in 501 infants. RESULTS IGF-1-SNPs rs1520220, rs978458, and rs2195239 significantly increased total-IGF-I and molar-ratio IGF-I/IGFBP-3 by ~1.3 ng/mL and ~1.3 per allele, respectively; compared to LP infants concentration and molar-ratio were increased in HP by ~1.3 ng/mL and ~1.3 and decreased in BF infants by ~0.6 ng/mL and ~0.6, respectively. IGFBP-3 was only affected by the BF group with ~450 ng/mL lower levels than the LP group. No gene-feeding-group interaction was detected for any SNP, even without correction for multiple testing. CONCLUSIONS Variants of the IGF-1-gene play an important role in regulating serum levels of the IGF-I axis but there is no gene-protein-interaction. The predominant nutritional regulation of IGF-I and IGFBP-3 gives further evidence that higher protein intake contributes to metabolic programming of growth.
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Affiliation(s)
- Peter Rzehak
- Div. Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich Medical Centre, Munich, Germany
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