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Cao VT, Lea RA, Sutherland HG, Benton MC, Pishva RS, Haupt LM, Griffiths LR. A genome-wide methylation study of body fat traits in the Norfolk Island isolate. Nutr Metab Cardiovasc Dis 2021; 31:1556-1563. [PMID: 33810959 DOI: 10.1016/j.numecd.2021.01.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS Natural variation in body fat is explained by both genetic and environmental effects. Epigenetic mechanisms such as DNA methylation can mediate these effects causing changes in gene expression leading to onset of obesity. Studies of genetic isolates have the potential to provide new epigenetic insights with advantages such as reduced genetic diversity and environmental exposures. METHODS AND RESULTS This was an exploratory study of genome-wide DNA methylation in relation to body fat traits in 47 healthy adults from the genetic isolate of Norfolk Island. Quantitative body fat traits (body fat percentage, body mass index, hip circumference, waist circumference, waist-hip-ratio and weight) were carefully measured. DNA methylation data was obtained from peripheral blood using Illumina 450K arrays. Multi-trait analysis was performed using Principal Component Analysis (PCA). CpG by trait association testing was performed using stepwise linear regressions. Two components were identified that explained approximately 89% of the phenotypic variance. In total, 5 differential methylated positions (DMPs) were identified at genome-wide significance (P≤ 2.4 × 10-7), which mapped to GOT2-CDH8, LYSMD3, HIBADH, ADGRD1 and EBF4 genes. Gene set enrichment analysis of 848 genes containing suggestive DMPs (P≤ 1.0 × 10-4) implicated the Cadherin (28 genes, Padj = 6.76 × 10-7) and Wnt signaling pathways (38 genes, Padj = 7.78 × 10-6). CONCLUSION This study provides new insights into the epigenetically influenced genes and pathways underlying body fat variation in a healthy cohort and provides targets for consideration in future studies of obesity risk.
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Affiliation(s)
- Van T Cao
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Rodney A Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Heidi G Sutherland
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Miles C Benton
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia; Human Genomics, Institute of Environmental Science and Research, Kenepuru, Wellington, New Zealand.
| | - Reza S Pishva
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Larisa M Haupt
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
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Matovinovic E, Kho PF, Lea RA, Benton MC, Eccles DA, Haupt LM, Hewitt AW, Sherwin JC, Mackey DA, Griffiths LR. Genome-wide linkage and association analysis of primary open-angle glaucoma endophenotypes in the Norfolk Island isolate. Mol Vis 2017; 23:660-665. [PMID: 28966548 PMCID: PMC5620381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 09/26/2017] [Indexed: 12/04/2022] Open
Abstract
PURPOSE Primary open-angle glaucoma (POAG) refers to a group of heterogeneous diseases involving optic nerve damage. Two well-established risk factors for POAG are elevated intraocular pressure (IOP) and a thinner central corneal thickness (CCT). These endophenotypes exhibit a high degree of heritability across populations. Large-scale genome-wide association studies (GWASs) of outbred populations have robustly implicated several susceptibility gene variants for both IOP and CCT. Despite this progress, a substantial amount of genetic variance remains unexplained. Population-specific variants that might be rare in outbred populations may also influence POAG endophenotypes. The Norfolk Island population is a founder-effect genetic isolate that has been well characterized for POAG endophenotypes. This population is therefore a suitable candidate for mapping new variants that influence these complex traits. METHODS Three hundred and thirty participants from the Norfolk Island Eye Study (NIES) core pedigree provided DNA. Ocular measurements of CCT and IOP were also taken for analysis. Heritability analyses and genome-wide linkage analyses of short tandem repeats (STRs) were conducted using SOLAR. Pedigree-based GWASs of single-nucleotide polymorphisms (SNPs) were performed using the GenABEL software. RESULTS CCT was the most heritable endophenotype in this cohort (h2 = 0.77, p = 6×10-6), while IOP showed a heritability of 0.39 (p = 0.008). A genome-wide linkage analysis of these POAG phenotypes identified a maximum logarithm of the odds (LOD) score of 1.9 for CCT on chromosome 20 (p = 0.0016) and 1.3 for IOP on chromosome 15 (p = 0.0072). The GWAS results revealed a study-wise significant association for IOP at rs790357, which is located within DLG2 on chr11q14.1 (p = 1.02×10-7). DLG2 is involved in neuronal signaling and development, and while it has not previously been associated with IOP, it has been associated with myopia. An analysis of 12 known SNPs for IOP showed that rs12419342 in RAPSN on chromosome 11 was nominally associated in Norfolk Island (NI; p = 0.0021). For CCT, an analysis of 26 known SNPs showed rs9938149 in BANP-ZNF469 on chromosome 16 was nominally associated in NI (p = 0.002). CONCLUSIONS These study results indicate that CCT and IOP exhibit a substantial degree of heritability in the NI pedigree, indicating a genetic component. A genome-wide linkage analysis of POAG endophenotypes did not reveal any major effect loci, but the GWASs did implicate several known loci, as well as a potential new locus in DLG2, suggesting a role for neuronal signaling in development in IOP and perhaps POAG. These results also highlight the need to target rarer variants via whole genome sequencing in this genetic isolate.
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Affiliation(s)
- Elizabeth Matovinovic
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Pik Fang Kho
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Rodney A. Lea
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Miles C. Benton
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - David A. Eccles
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Larisa M. Haupt
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Alex W. Hewitt
- Centre for Eye Research Australia & Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, Victoria, Australia,Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Hobart, Australia
| | - Justin C. Sherwin
- Centre for Eye Research Australia & Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, Victoria, Australia
| | - David A. Mackey
- Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Hobart, Australia,Lions Eye Institute, Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, Australia
| | - Lyn R. Griffiths
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
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Benton MC, Lea RA, Macartney-Coxson D, Bellis C, Carless MA, Curran JE, Hanna M, Eccles D, Chambers GK, Blangero J, Griffiths LR. Serum bilirubin concentration is modified by UGT1A1 haplotypes and influences risk of type-2 diabetes in the Norfolk Island genetic isolate. BMC Genet 2015; 16:136. [PMID: 26628212 PMCID: PMC4667444 DOI: 10.1186/s12863-015-0291-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 11/02/2015] [Indexed: 02/06/2023] Open
Abstract
Background Located in the Pacific Ocean between Australia and New Zealand, the unique population isolate of Norfolk Island has been shown to exhibit increased prevalence of metabolic disorders (type-2 diabetes, cardiovascular disease) compared to mainland Australia. We investigated this well-established genetic isolate, utilising its unique genomic structure to increase the ability to detect related genetic markers. A pedigree-based genome-wide association study of 16 routinely collected blood-based clinical traits in 382 Norfolk Island individuals was performed. Results A striking association peak was located at chromosome 2q37.1 for both total bilirubin and direct bilirubin, with 29 SNPs reaching statistical significance (P < 1.84 × 10−7). Strong linkage disequilibrium was observed across a 200 kb region spanning the UDP-glucuronosyltransferase family, including UGT1A1, an enzyme known to metabolise bilirubin. Given the epidemiological literature suggesting negative association between CVD-risk and serum bilirubin we further explored potential associations using stepwise multivariate regression, revealing significant association between direct bilirubin concentration and type-2 diabetes risk. In the Norfolk Island cohort increased direct bilirubin was associated with a 28 % reduction in type-2 diabetes risk (OR: 0.72, 95 % CI: 0.57-0.91, P = 0.005). When adjusted for genotypic effects the overall model was validated, with the adjusted model predicting a 30 % reduction in type-2 diabetes risk with increasing direct bilirubin concentrations (OR: 0.70, 95 % CI: 0.53-0.89, P = 0.0001). Conclusions In summary, a pedigree-based GWAS of blood-based clinical traits in the Norfolk Island population has identified variants within the UDPGT family directly associated with serum bilirubin levels, which is in turn implicated with reduced risk of developing type-2 diabetes within this population. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0291-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M C Benton
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
| | - R A Lea
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
| | - D Macartney-Coxson
- Kenepuru Science Centre, Institute of Environmental Science and Research, Wellington, 5240, New Zealand.
| | - C Bellis
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia. .,Texas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA.
| | - M A Carless
- Texas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA.
| | - J E Curran
- Texas Biomedical Research Institute, San Antonio, TX, 78227-5301, USA.
| | - M Hanna
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
| | - D Eccles
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
| | - G K Chambers
- School of Biological Sciences, Victoria University of Wellington, Wellington, 6140, New Zealand.
| | - J Blangero
- South Texas Diabetes and Obesity Institute, University of Texas, Rio Grande Valley School of Medicine, Brownsville, TX, 78520, USA.
| | - L R Griffiths
- Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
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Benton MC, Lea RA, Macartney-Coxson D, Hanna M, Eccles DA, Carless MA, Chambers GK, Bellis C, Goring HH, Curran JE, Harper JL, Gibson G, Blangero J, Griffiths LR. A Phenomic Scan of the Norfolk Island Genetic Isolate Identifies a Major Pleiotropic Effect Locus Associated with Metabolic and Renal Disorder Markers. PLoS Genet 2015; 11:e1005593. [PMID: 26474483 PMCID: PMC4608754 DOI: 10.1371/journal.pgen.1005593] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 09/18/2015] [Indexed: 11/23/2022] Open
Abstract
Multiphenotype genome-wide association studies (GWAS) may reveal pleiotropic genes, which would remain undetected using single phenotype analyses. Analysis of large pedigrees offers the added advantage of more accurately assessing trait heritability, which can help prioritise genetically influenced phenotypes for GWAS analysis. In this study we performed a principal component analysis (PCA), heritability (h2) estimation and pedigree-based GWAS of 37 cardiovascular disease -related phenotypes in 330 related individuals forming a large pedigree from the Norfolk Island genetic isolate. PCA revealed 13 components explaining >75% of the total variance. Nine components yielded statistically significant h2 values ranging from 0.22 to 0.54 (P<0.05). The most heritable component was loaded with 7 phenotypic measures reflecting metabolic and renal dysfunction. A GWAS of this composite phenotype revealed statistically significant associations for 3 adjacent SNPs on chromosome 1p22.2 (P<1x10-8). These SNPs form a 42kb haplotype block and explain 11% of the genetic variance for this renal function phenotype. Replication analysis of the tagging SNP (rs1396315) in an independent US cohort supports the association (P = 0.000011). Blood transcript analysis showed 35 genes were associated with rs1396315 (P<0.05). Gene set enrichment analysis of these genes revealed the most enriched pathway was purine metabolism (P = 0.0015). Overall, our findings provide convincing evidence for a major pleiotropic effect locus on chromosome 1p22.2 influencing risk of renal dysfunction via purine metabolism pathways in the Norfolk Island population. Further studies are now warranted to interrogate the functional relevance of this locus in terms of renal pathology and cardiovascular disease risk. While many large genetic association studies have identified genes playing a role in complex disorders, there is still concern over the amount of missing genetic heritability. With this in mind, we have used a data reduction approach alongside pedigree-based association to obtain highly heritable components which explain 'hidden' variance of multiphenotypes within a large pedigree from the Norfolk Island genetic isolate. The most heritable of these components involved 7 traits reflecting metabolic and renal functionality, association of which locates to an intergenic region on chromosome 1p22.2. By integrating gene expression information, we identified enrichment of a purine metabolism pathway, further strengthening the metabolic nature of the observed association. Adding additional support to our approach, we show association of the tagging SNP (rs1396315) in an independent US population. The findings presented here are of particular interest as they implicate pleiotropic effect loci and newly associated biological pathways underlying cardiovascular disease risk.
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Affiliation(s)
- Miles C. Benton
- Genomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Rodney A. Lea
- Genomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Donia Macartney-Coxson
- Biomarkers Group, Kenepuru Science Centre, Institute of Environmental Science and Research, Wellington, New Zealand
| | - Michelle Hanna
- Genomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - David A. Eccles
- Genomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Melanie A. Carless
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Geoffrey K. Chambers
- School of Biological Science, Victoria University of Wellington, Wellington, New Zealand
| | - Claire Bellis
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Harald H. Goring
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Joanne E. Curran
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | | | - Gregory Gibson
- School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - John Blangero
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Lyn R. Griffiths
- Genomics Research Centre, Institute of Biomedical Health and Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
- * E-mail:
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Benton MC, Lea RA, Macartney-Coxson D, Carless MA, Göring HH, Bellis C, Hanna M, Eccles D, Chambers GK, Curran JE, Harper JL, Blangero J, Griffiths LR. Mapping eQTLs in the Norfolk Island genetic isolate identifies candidate genes for CVD risk traits. Am J Hum Genet 2013; 93:1087-99. [PMID: 24314549 DOI: 10.1016/j.ajhg.2013.11.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 10/29/2013] [Accepted: 11/07/2013] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular disease (CVD) affects millions of people worldwide and is influenced by numerous factors, including lifestyle and genetics. Expression quantitative trait loci (eQTLs) influence gene expression and are good candidates for CVD risk. Founder-effect pedigrees can provide additional power to map genes associated with disease risk. Therefore, we identified eQTLs in the genetic isolate of Norfolk Island (NI) and tested for associations between these and CVD risk factors. We measured genome-wide transcript levels of blood lymphocytes in 330 individuals and used pedigree-based heritability analysis to identify heritable transcripts. eQTLs were identified by genome-wide association testing of these transcripts. Testing for association between CVD risk factors (i.e., blood lipids, blood pressure, and body fat indices) and eQTLs revealed 1,712 heritable transcripts (p < 0.05) with heritability values ranging from 0.18 to 0.84. From these, we identified 200 cis-acting and 70 trans-acting eQTLs (p < 1.84 × 10(-7)) An eQTL-centric analysis of CVD risk traits revealed multiple associations, including 12 previously associated with CVD-related traits. Trait versus eQTL regression modeling identified four CVD risk candidates (NAAA, PAPSS1, NME1, and PRDX1), all of which have known biological roles in disease. In addition, we implicated several genes previously associated with CVD risk traits, including MTHFR and FN3KRP. We have successfully identified a panel of eQTLs in the NI pedigree and used this to implicate several genes in CVD risk. Future studies are required for further assessing the functional importance of these eQTLs and whether the findings here also relate to outbred populations.
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Affiliation(s)
- Miles C Benton
- Genomics Research Centre, Griffith Health Institute, Griffith University, Southport, QLD 4222, Australia
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A follow-up linkage study of Finnish pre-eclampsia families identifies a new fetal susceptibility locus on chromosome 18. Eur J Hum Genet 2013; 21:1024-6. [PMID: 23386034 DOI: 10.1038/ejhg.2013.6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2012] [Revised: 12/20/2012] [Accepted: 01/10/2013] [Indexed: 11/08/2022] Open
Abstract
Pre-eclampsia is a common vascular disorder of pregnancy. It originates in the placenta and targets the maternal endothelium. According to epidemiological research, >50% of the liability to this disorder can be accounted for by genetic factors. Both maternal and fetal genes contribute to the risk, but especially the fetal genetic risk profile is still poorly understood. We have previously detected linkage signals in multiplex Finnish families on chromosomes 2p25, 4q32, and 9p13 using maternal phenotypes. We performed a linkage analysis using updated maternal phenotypes and an unprecedented linkage analysis using fetal phenotypes. Markers genotyped were available from 237 individuals in 15 Finnish families, including 72 affected mothers and 49 affected fetuses. The MERLIN software was used for sample and marker quality control and linkage analysis. The results were compared against the original ones obtained by using the GENEHUNTER 2.1 software. The previous identification of the maternal susceptibility locus to a genetic location at 21.70 cM near marker D2S168 on chromosome 2 was confirmed by using both maternal and fetal phenotypes (maternal non-parametric linkage (NPL) score 3.79, P=0.00008, LOD (logarithm (base 10) of odds)=2.20 and fetal NPL score 2.95, P=0.002, LOD=1.71). As a novel finding, we present a suggestive linkage to chromosome 18 at 86.80 cM near marker D18S64 (NPL score 2.51, P=0.006, LOD=1.20) using the fetal phenotype. We propose that chromosome 18 may harbor a new fetal susceptibility locus for pre-eclampsia.
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Menon S, Griffiths L. Emerging genomic biomarkers in migraine. FUTURE NEUROLOGY 2013. [DOI: 10.2217/fnl.12.80] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Migraine is a debilitating neurovascular condition classified as either migraine with aura or migraine without aura. A significant genetic basis has been implicated in migraine and has probed the role of neurotransmitters, hormones and vascular genes in this disorder. The aim of this review is to highlight the recent genetic discoveries contributing to our understanding of the complex pathogenesis of migraine. The current review will discuss the role of neurotransmitter-related genes in migraine, including the recently identified TRESK and variants of the KCNN3 gene, as well as outlining studies investigating hormone receptor genes, such as ESR1 and PGR, and vascular-related genes, including the MTHFR and NOTCH 3 genes.
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Affiliation(s)
- Saras Menon
- Genomics Research Centre, Griffith Health Institute, Parklands Drive, Southport, Queensland, Australia
| | - Lyn Griffiths
- Genomics Research Centre, Griffith Health Institute, Parklands Drive, Southport, Queensland, Australia
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A genome-wide analysis of 'Bounty' descendants implicates several novel variants in migraine susceptibility. Neurogenetics 2012; 13:261-6. [PMID: 22678113 DOI: 10.1007/s10048-012-0325-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2011] [Accepted: 03/16/2012] [Indexed: 10/28/2022]
Abstract
Migraine is a common neurological disease with a complex genetic aetiology. The disease affects ~12% of the Caucasian population and females are three times more likely than males to be diagnosed. In an effort to identify loci involved in migraine susceptibility, we performed a pedigree-based genome-wide association study of the isolated population of Norfolk Island, which has a high prevalence of migraine. This unique population originates from a small number of British and Polynesian founders who are descendents of the Bounty mutiny and forms a very large multigenerational pedigree (Bellis et al.; Human Genetics, 124(5):543-5542, 2008). These population genetic features may facilitate disease gene mapping strategies (Peltonen et al.; Nat Rev Genet, 1(3):182-90, 2000. In this study, we identified a high heritability of migraine in the Norfolk Island population (h (2) = 0.53, P = 0.016). We performed a pedigree-based GWAS and utilised a statistical and pathological prioritisation approach to implicate a number of variants in migraine. An SNP located in the zinc finger protein 555 (ZNF555) gene (rs4807347) showed evidence of statistical association in our Norfolk Island pedigree (P = 9.6 × 10(-6)) as well as replication in a large independent and unrelated cohort with >500 migraineurs. In addition, we utilised a biological prioritisation to implicate four SNPs, in within the ADARB2 gene, two SNPs within the GRM7 gene and a single SNP in close proximity to a HTR7 gene. Association of SNPs within these neurotransmitter-related genes suggests a disrupted serotoninergic system that is perhaps specific to the Norfolk Island pedigree, but that might provide clues to understanding migraine more generally.
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Maher BH, Lea RA, Benton M, Cox HC, Bellis C, Carless M, Dyer TD, Curran J, Charlesworth JC, Buring JE, Kurth T, Chasman DI, Ridker PM, Schürks M, Blangero J, Griffiths LR. An X chromosome association scan of the Norfolk Island genetic isolate provides evidence for a novel migraine susceptibility locus at Xq12. PLoS One 2012; 7:e37903. [PMID: 22666411 PMCID: PMC3362572 DOI: 10.1371/journal.pone.0037903] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2011] [Accepted: 04/27/2012] [Indexed: 12/03/2022] Open
Abstract
Migraine is a common and debilitating neurovascular disorder with a complex envirogenomic aetiology. Numerous studies have demonstrated a preponderance of women affected with migraine and previous pedigree linkage studies in our laboratory have identified susceptibility loci on chromosome Xq24-Xq28. In this study we have used the genetic isolate of Norfolk Island to further analyse the X chromosome for migraine susceptibility loci.An association approach was employed to analyse 14,124 SNPs spanning the entire X chromosome. Genotype data from 288 individuals comprising a large core-pedigree, of which 76 were affected with migraine, were analysed. Although no SNP reached chromosome-wide significance (empirical α = 1 × 10(-5)) ranking by P-value revealed two primary clusters of SNPs in the top 25. A 10 SNP cluster represents a novel migraine susceptibility locus at Xq12 whilst a 11 SNP cluster represents a previously identified migraine susceptibility locus at Xq27. The strongest association at Xq12 was seen for rs599958 (OR = 1.75, P = 8.92 × 10(-4)), whilst at Xq27 the strongest association was for rs6525667 (OR = 1.53, P = 1.65 × 10(-4)). Further analysis of SNPs at these loci was performed in 5,122 migraineurs from the Women's Genome Health Study and provided additional evidence for association at the novel Xq12 locus (P<0.05).Overall, this study provides evidence for a novel migraine susceptibility locus on Xq12. The strongest effect SNP (rs102834, joint P = 1.63 × 10(-5)) is located within the 5'UTR of the HEPH gene, which is involved in iron homeostasis in the brain and may represent a novel pathway for involvement in migraine pathogenesis.
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Affiliation(s)
- Bridget H. Maher
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
| | - Rod A. Lea
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
| | - Miles Benton
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
| | - Hannah C. Cox
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
| | - Claire Bellis
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Melanie Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Thomas D. Dyer
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Joanne Curran
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Jac C. Charlesworth
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
- Menzies Research Institute Tasmania, Hobart, Tasmania, Australia
| | - Julie E. Buring
- Division of Preventive Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Tobias Kurth
- Division of Preventive Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Neurology, University Hospital Essen, Essen, Germany
- INSERM Unit 708 - Neuroepidemiology, Paris, France
| | - Daniel I. Chasman
- Division of Preventive Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Donald W. Reynolds Center for Cardiovascular Disease Prevention, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Paul M. Ridker
- Division of Preventive Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Donald W. Reynolds Center for Cardiovascular Disease Prevention, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Markus Schürks
- Division of Preventive Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Lyn R. Griffiths
- Genomics Research Centre, Griffith Health Institute, Griffith University, Queensland, Australia
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Cox HC, Lea RA, Bellis C, Nyholt DR, Dyer TD, Haupt LM, Charlesworth J, Matovinovic E, Blangero J, Griffiths LR. Heritability and genome-wide linkage analysis of migraine in the genetic isolate of Norfolk Island. Gene 2011; 494:119-23. [PMID: 22197687 DOI: 10.1016/j.gene.2011.11.056] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2011] [Revised: 11/02/2011] [Accepted: 11/22/2011] [Indexed: 10/14/2022]
Abstract
Migraine is a common neurovascular disorder with a complex envirogenomic aetiology. In an effort to identify migraine susceptibility genes, we conducted a study of the isolated population of Norfolk Island, Australia. A large portion of the permanent inhabitants of Norfolk Island are descended from 18th Century English sailors involved in the infamous mutiny on the Bounty and their Polynesian consorts. In total, 600 subjects were recruited including a large pedigree of 377 individuals with lineage to the founders. All individuals were phenotyped for migraine using International Classification of Headache Disorders-II criterion. All subjects were genotyped for a genome-wide panel of microsatellite markers. Genotype and phenotype data for the pedigree were analysed using heritability and linkage methods implemented in the programme SOLAR. Follow-up association analysis was performed using the CLUMP programme. A total of 154 migraine cases (25%) were identified indicating the Norfolk Island population is high-risk for migraine. Heritability estimation of the 377-member pedigree indicated a significant genetic component for migraine (h(2)=0.53, P=0.016). Linkage analysis showed peaks on chromosome 13q33.1 (P=0.003) and chromosome 9q22.32 (P=0.008). Association analysis of the key microsatellites in the remaining 223 unrelated Norfolk Island individuals showed evidence of association, which strengthen support for the linkage findings (P≤0.05). In conclusion, a genome-wide linkage analysis and follow-up association analysis of migraine in the genetic isolate of Norfolk Island provided evidence for migraine susceptibility loci on chromosomes 9q22.22 and 13q33.1.
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Affiliation(s)
- Hannah C Cox
- Genomics Research Centre, Griffith Health Institute, Gold Coast Campus, Griffith University, Queensland, Australia
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Cox HC, Lea RA, Bellis C, Carless M, Dyer T, Blangero J, Griffiths LR. Variants in the human potassium channel gene (KCNN3) are associated with migraine in a high risk genetic isolate. J Headache Pain 2011; 12:603-8. [PMID: 22030984 PMCID: PMC3208049 DOI: 10.1007/s10194-011-0392-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2010] [Accepted: 11/14/2010] [Indexed: 11/30/2022] Open
Abstract
The calcium-activated potassium ion channel gene (KCNN3) is located in the vicinity of the familial hemiplegic migraine type 2 locus on chromosome 1q21.3. This gene is expressed in the central nervous system and plays a role in neural excitability. Previous association studies have provided some, although not conclusive, evidence for involvement of this gene in migraine susceptibility. To elucidate KCNN3 involvement in migraine, we performed gene-wide SNP genotyping in a high-risk genetic isolate from Norfolk Island, a population descended from a small number of eighteenth century Isle of Man ‘Bounty Mutineer’ and Tahitian founders. Phenotype information was available for 377 individuals who are related through the single, well-defined Norfolk pedigree (96 were affected: 64 MA, 32 MO). A total of 85 SNPs spanning the KCNN3 gene were genotyped in a sub-sample of 285 related individuals (76 affected), all core members of the extensive Norfolk Island ‘Bounty Mutineer’ genealogy. All genotyping was performed using the Illumina BeadArray platform. The analysis was performed using the statistical program SOLAR v4.0.6 assuming an additive model of allelic effect adjusted for the effects of age and sex. Haplotype analysis was undertaken using the program HAPLOVIEW v4.0. A total of four intronic SNPs in the KCNN3 gene displayed significant association (P < 0.05) with migraine. Two SNPs, rs73532286 and rs6426929, separated by approximately 0.1 kb, displayed complete LD (r2 = 1.00, D′ = 1.00, D′ 95% CI = 0.96–1.00). In all cases, the minor allele led to a decrease in migraine risk (beta coefficient = 0.286–0.315), suggesting that common gene variants confer an increased risk of migraine in the Norfolk pedigree. This effect may be explained by founder effect in this genetic isolate. This study provides evidence for association of variants in the KCNN3 ion channel gene with migraine susceptibility in the Norfolk genetic isolate with the rarer allelic variants conferring a possible protective role. This the first comprehensive analysis of this potential candidate gene in migraine and also the first study that has utilised the unique Norfolk Island large pedigree isolate to implicate a specific migraine gene. Studies of additional variants in KCNN3 in the Norfolk pedigree are now required (e.g. polyglutamine variants) and further analyses in other population data sets are required to clarify the association of the KCNN3 gene and migraine risk in the general outbred population.
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Affiliation(s)
- Hannah C Cox
- Genomics Research Centre, Griffith Health Institute, Gold Coast Campus, Griffith University, Southport, QLD, 4222, Australia
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Sherwin JC, Kelly J, Hewitt AW, Kearns LS, Griffiths LR, Mackey DA. Prevalence and predictors of refractive error in a genetically isolated population: the Norfolk Island Eye Study. Clin Exp Ophthalmol 2011; 39:734-42. [DOI: 10.1111/j.1442-9071.2011.02579.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Distribution of conjunctival ultraviolet autofluorescence in a population-based study: the Norfolk Island Eye Study. Eye (Lond) 2011; 25:893-900. [PMID: 21494284 DOI: 10.1038/eye.2011.83] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The objective of this study was to describe the distribution of conjunctival ultraviolet autofluorescence (UVAF) in an adult population. METHODS We conducted a cross-sectional, population-based study in the genetic isolate of Norfolk Island, South Pacific Ocean. In all, 641 people, aged 15 to 89 years, were recruited. UVAF and standard (control) photographs were taken of the nasal and temporal interpalpebral regions bilaterally. Differences between the groups for non-normally distributed continuous variables were assessed using the Wilcoxon-Mann-Whitney ranksum test. Trends across categories were assessed using Cuzick's non-parametric test for trend or Kendall's rank correlation τ. RESULTS Conjunctival UVAF is a non-parametric trait with a positively skewed distribution. Median amount of conjunctival UVAF per person (sum of four measurements; right nasal/temporal and left nasal/temporal) was 28.2 mm(2) (interquartile range 14.5-48.2). There was an inverse, linear relationship between UVAF and advancing age (P<0.001). Males had a higher sum of UVAF compared with females (34.4 mm(2) vs 23.2 mm(2), P<0.0001). There were no statistically significant differences in area of UVAF between right and left eyes or between nasal and temporal regions. CONCLUSION We have provided the first quantifiable estimates of conjunctival UVAF in an adult population. Further data are required to provide information about the natural history of UVAF and to characterise other potential disease associations with UVAF. UVR protective strategies should be emphasised at an early age to prevent the long-term adverse effects on health associated with excess UVR.
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Mackey DA, Sherwin JC, Kearns LS, Ma Y, Kelly J, Chu BS, Macmillan R, Barbour JM, Wilkinson CH, Matovinovic E, Cox HC, Bellis C, Lea RA, Quinlan S, Griffiths LR, Hewitt AW. The Norfolk Island Eye Study (NIES): rationale, methodology and distribution of ocular biometry (biometry of the bounty). Twin Res Hum Genet 2011; 14:42-52. [PMID: 21314255 DOI: 10.1375/twin.14.1.42] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
AIM To describe the recruitment, ophthalmic examination methods and distribution of ocular biometry of participants in the Norfolk Island Eye Study, who were individuals descended from the English Bounty mutineers and their Polynesian wives. METHODS All 1,275 permanent residents of Norfolk Island aged over 15 years were invited to participate, including 602 individuals involved in a 2001 cardiovascular disease study. Participants completed a detailed questionnaire and underwent a comprehensive eye assessment including stereo disc and retinal photography, ocular coherence topography and conjunctival autofluorescence assessment. Additionally, blood or saliva was taken for DNA testing. RESULTS 781 participants aged over 15 years were seen (54% female), comprising 61% of the permanent Island population. 343 people (43.9%) could trace their family history to the Pitcairn Islanders (Norfolk Island Pitcairn Pedigree). Mean anterior chamber depth was 3.32mm, mean axial length (AL) was 23.5mm, and mean central corneal thickness was 546 microns. There were no statistically significant differences in these characteristics between persons with and without Pitcairn Island ancestry. Mean intra-ocular pressure was lower in people with Pitcairn Island ancestry: 15.89mmHg compared to those without Pitcairn Island ancestry 16.49mmHg (P = .007). The mean keratometry value was lower in people with Pitcairn Island ancestry (43.22 vs. 43.52, P = .007). The corneas were flatter in people of Pitcairn ancestry but there was no corresponding difference in AL or refraction. CONCLUSION Our study population is highly representative of the permanent population of Norfolk Island. Ocular biometry was similar to that of other white populations. Heritability estimates, linkage analysis and genome-wide studies will further elucidate the genetic determinants of chronic ocular diseases in this genetic isolate.
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Affiliation(s)
- David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Australia.
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Macgregor S, Bellis C, Lea RA, Cox H, Dyer T, Blangero J, Visscher PM, Griffiths LR. Legacy of mutiny on the Bounty: founder effect and admixture on Norfolk Island. Eur J Hum Genet 2010; 18:67-72. [PMID: 19584896 PMCID: PMC2987173 DOI: 10.1038/ejhg.2009.111] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2009] [Revised: 05/14/2009] [Accepted: 06/04/2009] [Indexed: 11/10/2022] Open
Abstract
The population of Norfolk Island, located off the eastern coast of Australia, possesses an unusual and fascinating history. Most present-day islanders are related to a small number of the 'Bounty' mutineer founders. These founders consisted of Caucasian males and Polynesian females and led to an admixed present-day population. By examining a single large pedigree of 5742 individuals, spanning >200 years, we analyzed the influence of admixture and founder effect on various cardiovascular disease (CVD)-related traits. On account of the relative isolation of the population, on average one-third of the genomes of present-day islanders (single large pedigree individuals) is derived from 17 initial founders. The proportion of Polynesian ancestry in the present-day individuals was found to significantly influence total triglycerides, body mass index, systolic blood pressure and diastolic blood pressure. For various cholesterol traits, the influence of ancestry was less marked but overall the direction of effect for all CVD-related traits was consistent with Polynesian ancestry conferring greater CVD risk. Marker-derived homozygosity was computed and agreed with measures of inbreeding derived from pedigree information. Founder effect (inbreeding and marker-derived homozygosity) significantly influenced height. In conclusion, both founder effect and extreme admixture have substantially influenced the genetic architecture of a variety of CVD-related traits in this population.
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Affiliation(s)
- Stuart Macgregor
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
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Abstract
The Norfolk Island population in the South Pacific is primarily the product of recent admixture between a small number of British male and Polynesian female founders. We identified and genotyped 128 Ancestry Informative Markers (AIMs) spread across the autosomes, X/Y chromosomes and mitochondrial DNA genome, to explore and quantify the current levels of genetic admixture in the Norfolk Islanders. On the basis of autosomal AIMs, the population shows mean European and Polynesian ancestry proportions of 88 and 12%, respectively. However, there is a substantial variation between individuals ranging from total European ancestry to near total Polynesian origin. There is a strong correlation between individual genetic estimates of Polynesian ancestry and those derived from the extensive pedigree and genealogical records of Islanders. Also in line with historical accounts, there is a substantial asymmetry in the maternal and paternal origins of the Islanders with almost all Y-chromosomes of European origin whereas at least 25% of mtDNAs appear to have a Polynesian origin. Accurate knowledge of ancestry will be important in future attempts to use the Island population in admixture mapping approaches to find the genes that underlie differences in the risk to some diseases between Europeans and Polynesians.
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Mackey DA. The 'I' in personalized genetics: 2008 Ian Constable lecture. Clin Exp Ophthalmol 2009; 37:434-43. [PMID: 19624338 DOI: 10.1111/j.1442-9071.2009.02058.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The completion of the Human Genome Project heralded a new era in human genetic testing to predict individuals at risk from many common diseases. DNA markers can also be used to track one's ancestry. Eye diseases such as age-related macular degeneration and glaucoma have been important examples of the success of genome-wide association studies. Resource-strapped genetic services have been limited in providing DNA testing for many well-established hereditary diseases. Thus, several direct-to-consumer genetic services have arisen to fill the gap. However, there is a major need for research into interpreting the results of such tests of up to one million DNA markers. Studies of population, family and twins sharing common diseases help us clarify the significance of gene-disease associations. However, as identical twins show us, for some conditions our genes do not absolutely determine our destiny and environmental factors interact with our genetic profile.
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Affiliation(s)
- David A Mackey
- Centre for Ophthalmology and Visual Science, University of Western Australia, Lions Eye Institute, Perth, Western Australia.
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