Skip to main content
Top
Published in: BMC Medical Genetics 1/2018

Open Access 01-12-2018 | Research article

Genome-wide association studies for diabetic macular edema and proliferative diabetic retinopathy

Authors: Patricia S. Graham, Georgia Kaidonis, Sotoodeh Abhary, Mark C. Gillies, Mark Daniell, Rohan W. Essex, John H. Chang, Stewart R. Lake, Bishwanath Pal, Alicia J. Jenkins, Alex W. Hewitt, Ecosse L. Lamoureux, Philip G. Hykin, Nikolai Petrovsky, Matthew A. Brown, Jamie E. Craig, Kathryn P. Burdon

Published in: BMC Medical Genetics | Issue 1/2018

Login to get access

Abstract

Background

Diabetic macular edema (DME) and proliferative diabetic retinopathy (PDR) are sight-threatening complications of diabetes mellitus and leading causes of adult-onset blindness worldwide. Genetic risk factors for diabetic retinopathy (DR) have been described previously, but have been difficult to replicate between studies, which have often used composite phenotypes and been conducted in different populations. This study aims to identify genetic risk factors for DME and PDR as separate complications in Australians of European descent with type 2 diabetes.

Methods

Caucasian Australians with type 2 diabetes were evaluated in a genome-wide association study (GWAS) to compare 270 DME cases and 176 PDR cases with 435 non-retinopathy controls. All participants were genotyped by SNP array and after data cleaning, cases were compared to controls using logistic regression adjusting for relevant covariates.

Results

The top ranked SNP for DME was rs1990145 (p = 4.10 × 10− 6, OR = 2.02 95%CI [1.50, 2.72]) on chromosome 2. The top-ranked SNP for PDR was rs918519 (p = 3.87 × 10− 6, OR = 0.35 95%CI [0.22, 0.54]) on chromosome 5. A trend towards association was also detected at two SNPs reported in the only other reported GWAS of DR in Caucasians; rs12267418 near MALRD1 (p = 0.008) in the DME cohort and rs16999051 in the diabetes gene PCSK2 (p = 0.007) in the PDR cohort.

Conclusion

This study has identified loci of interest for DME and PDR, two common ocular complications of diabetes. These findings require replication in other Caucasian cohorts with type 2 diabetes and larger cohorts will be required to identify genetic loci with statistical confidence. There is considerable overlap in the patient cohorts with each retinopathy subtype, complicating the search for genes that contribute to PDR and DME biology.
Appendix
Available only for authorised users
Literature
1.
go back to reference National Diabetes Data Group: Diabetes in America: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 1995. National Diabetes Data Group: Diabetes in America: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 1995.
2.
go back to reference Kempen JH, O'Colmain BJ, Leske MC, Haffner SM, Klein R, Moss SE, Taylor HR, Hamman RF. The prevalence of diabetic retinopathy among adults in the United States. Arch Ophthalmol. 2004;122(4):552–63.CrossRefPubMed Kempen JH, O'Colmain BJ, Leske MC, Haffner SM, Klein R, Moss SE, Taylor HR, Hamman RF. The prevalence of diabetic retinopathy among adults in the United States. Arch Ophthalmol. 2004;122(4):552–63.CrossRefPubMed
3.
go back to reference Tapp RJ, Shaw JE, Harper CA, de Courten MP, Balkau B, McCarty DJ, Taylor HR, Welborn TA, Zimmet PZ, AusDiab Study G. The prevalence of and factors associated with diabetic retinopathy in the Australian population. Diabetes Care. 2003;26(6):1731–7.CrossRefPubMed Tapp RJ, Shaw JE, Harper CA, de Courten MP, Balkau B, McCarty DJ, Taylor HR, Welborn TA, Zimmet PZ, AusDiab Study G. The prevalence of and factors associated with diabetic retinopathy in the Australian population. Diabetes Care. 2003;26(6):1731–7.CrossRefPubMed
4.
go back to reference Yau JW, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, Chen SJ, Dekker JM, Fletcher A, Grauslund J, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care. 2012;35(3):556–64.CrossRefPubMedPubMedCentral Yau JW, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, Chen SJ, Dekker JM, Fletcher A, Grauslund J, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care. 2012;35(3):556–64.CrossRefPubMedPubMedCentral
5.
go back to reference Arar NH, Freedman BI, Adler SG, Iyengar SK, Chew EY, Davis MD, Satko SG, Bowden DW, Duggirala R, Elston RC, et al. Heritability of the severity of diabetic retinopathy: the FIND-eye study. Invest Ophthalmol Vis Sci. 2008;49(9):3839–45.CrossRefPubMedPubMedCentral Arar NH, Freedman BI, Adler SG, Iyengar SK, Chew EY, Davis MD, Satko SG, Bowden DW, Duggirala R, Elston RC, et al. Heritability of the severity of diabetic retinopathy: the FIND-eye study. Invest Ophthalmol Vis Sci. 2008;49(9):3839–45.CrossRefPubMedPubMedCentral
6.
go back to reference Hietala K, Forsblom C, Summanen P, Groop PH, FinnDiane Study Group. Heritability of proliferative diabetic retinopathy. Diabetes. 2008;57(8):2176–80.CrossRefPubMedPubMedCentral Hietala K, Forsblom C, Summanen P, Groop PH, FinnDiane Study Group. Heritability of proliferative diabetic retinopathy. Diabetes. 2008;57(8):2176–80.CrossRefPubMedPubMedCentral
7.
go back to reference Abhary S, Hewitt AW, Burdon KP, Craig JE. A systematic meta-analysis of genetic association studies for diabetic retinopathy. Diabetes. 2009;58(9):2137–47.CrossRefPubMedPubMedCentral Abhary S, Hewitt AW, Burdon KP, Craig JE. A systematic meta-analysis of genetic association studies for diabetic retinopathy. Diabetes. 2009;58(9):2137–47.CrossRefPubMedPubMedCentral
9.
go back to reference Fu W, O'Connor TD, Jun G, Kang HM, Abecasis G, Leal SM, Gabriel S, Altshuler D, Shendure J, Nickerson DA, et al. Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants. Nature. 2013;493(7431):216–20.CrossRefPubMed Fu W, O'Connor TD, Jun G, Kang HM, Abecasis G, Leal SM, Gabriel S, Altshuler D, Shendure J, Nickerson DA, et al. Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants. Nature. 2013;493(7431):216–20.CrossRefPubMed
10.
go back to reference Huang YC, Lin JM, Lin HJ, Chen CC, Chen SY, Tsai CH, Tsai FJ. Genome-wide association study of diabetic retinopathy in a Taiwanese population. Ophthalmology. 2011;118(4):642–8.CrossRefPubMed Huang YC, Lin JM, Lin HJ, Chen CC, Chen SY, Tsai CH, Tsai FJ. Genome-wide association study of diabetic retinopathy in a Taiwanese population. Ophthalmology. 2011;118(4):642–8.CrossRefPubMed
11.
go back to reference Awata T, Yamashita H, Kurihara S, Morita-Ohkubo T, Miyashita Y, Katayama S, Mori K, Yoneya S, Kohda M, Okazaki Y, et al. A genome-wide association study for diabetic retinopathy in a Japanese population: potential association with a long intergenic non-coding RNA. PLoS One. 2014;9(11):e111715.CrossRefPubMedPubMedCentral Awata T, Yamashita H, Kurihara S, Morita-Ohkubo T, Miyashita Y, Katayama S, Mori K, Yoneya S, Kohda M, Okazaki Y, et al. A genome-wide association study for diabetic retinopathy in a Japanese population: potential association with a long intergenic non-coding RNA. PLoS One. 2014;9(11):e111715.CrossRefPubMedPubMedCentral
12.
go back to reference Sheu WH, Kuo JZ, Lee IT, Hung YJ, Lee WJ, Tsai HY, Wang JS, Goodarzi MO, Klein R, Klein BE, et al. Genome-wide association study in a Chinese population with diabetic retinopathy. Hum Mol Genet. 2013;22(15):3165–73.CrossRefPubMedPubMedCentral Sheu WH, Kuo JZ, Lee IT, Hung YJ, Lee WJ, Tsai HY, Wang JS, Goodarzi MO, Klein R, Klein BE, et al. Genome-wide association study in a Chinese population with diabetic retinopathy. Hum Mol Genet. 2013;22(15):3165–73.CrossRefPubMedPubMedCentral
13.
go back to reference Burdon KP, Fogarty RD, Shen W, Abhary S, Kaidonis G, Appukuttan B, Hewitt AW, Sharma S, Daniell M, Essex RW, et al. Genome-wide association study for sight-threatening diabetic retinopathy reveals association with genetic variation near the GRB2 gene. Diabetologia. 2015;58:2288–97.CrossRefPubMed Burdon KP, Fogarty RD, Shen W, Abhary S, Kaidonis G, Appukuttan B, Hewitt AW, Sharma S, Daniell M, Essex RW, et al. Genome-wide association study for sight-threatening diabetic retinopathy reveals association with genetic variation near the GRB2 gene. Diabetologia. 2015;58:2288–97.CrossRefPubMed
14.
go back to reference Grassi MA, Tikhomirov A, Ramalingam S, Below JE, Cox NJ, Nicolae DL. Genome-wide meta-analysis for severe diabetic retinopathy. Hum Mol Genet. 2011;20(12):2472–81.CrossRefPubMedPubMedCentral Grassi MA, Tikhomirov A, Ramalingam S, Below JE, Cox NJ, Nicolae DL. Genome-wide meta-analysis for severe diabetic retinopathy. Hum Mol Genet. 2011;20(12):2472–81.CrossRefPubMedPubMedCentral
15.
go back to reference Kaidonis G, Abhary S, Daniell M, Gillies M, Fogarty R, Petrovsky N, Jenkins A, Essex R, Chang JH, Pal B, et al. Genetic study of diabetic retinopathy: recruitment methodology and analysis of baseline characteristics. Clin Exp Ophthalmol. 2014;42(5):486–93.CrossRefPubMed Kaidonis G, Abhary S, Daniell M, Gillies M, Fogarty R, Petrovsky N, Jenkins A, Essex R, Chang JH, Pal B, et al. Genetic study of diabetic retinopathy: recruitment methodology and analysis of baseline characteristics. Clin Exp Ophthalmol. 2014;42(5):486–93.CrossRefPubMed
16.
go back to reference Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, Dills D, Kampik A, Pararajasegaram R, Verdaguer JT, et al. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003;110(9):1677–82.CrossRefPubMed Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, Dills D, Kampik A, Pararajasegaram R, Verdaguer JT, et al. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003;110(9):1677–82.CrossRefPubMed
17.
go back to reference Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38(8):904–9.CrossRefPubMed Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38(8):904–9.CrossRefPubMed
18.
go back to reference Turner SD. Qqman: an R package for visualizing GWAS results using Q-Q and Manhattan plots. bioRxiv. 2014;10:005165. Turner SD. Qqman: an R package for visualizing GWAS results using Q-Q and Manhattan plots. bioRxiv. 2014;10:005165.
19.
go back to reference Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.CrossRefPubMedPubMedCentral Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.CrossRefPubMedPubMedCentral
20.
go back to reference Wagner AH, Anand VN, Wang WH, Chatterton JE, Sun D, Shepard AR, Jacobson N, Pang IH, Deluca AP, Casavant TL, et al. Exon-level expression profiling of ocular tissues. Exp Eye Res. 2013;111:105–11. Wagner AH, Anand VN, Wang WH, Chatterton JE, Sun D, Shepard AR, Jacobson N, Pang IH, Deluca AP, Casavant TL, et al. Exon-level expression profiling of ocular tissues. Exp Eye Res. 2013;111:105–11.
21.
go back to reference Terluk MR, Kapphahn RJ, Soukup LM, Gong H, Gallardo C, Montezuma SR, Ferrington DA. Investigating mitochondria as a target for treating age-related macular degeneration. J Neurosci. 2015;35(18):7304–11.CrossRefPubMedPubMedCentral Terluk MR, Kapphahn RJ, Soukup LM, Gong H, Gallardo C, Montezuma SR, Ferrington DA. Investigating mitochondria as a target for treating age-related macular degeneration. J Neurosci. 2015;35(18):7304–11.CrossRefPubMedPubMedCentral
22.
go back to reference Kenmochi N, Suzuki T, Uechi T, Magoori M, Kuniba M, Higa S, Watanabe K, Tanaka T. The human mitochondrial ribosomal protein genes: mapping of 54 genes to the chromosomes and implications for human disorders. Genomics. 2001;77(1):65–70.CrossRefPubMed Kenmochi N, Suzuki T, Uechi T, Magoori M, Kuniba M, Higa S, Watanabe K, Tanaka T. The human mitochondrial ribosomal protein genes: mapping of 54 genes to the chromosomes and implications for human disorders. Genomics. 2001;77(1):65–70.CrossRefPubMed
23.
go back to reference Li J, Zhang C, Wang JB, Chen SS, Zhang TP, Li S, Pan HF, Ye DQ. Relationship between the IL12B (rs3212227) gene polymorphism and susceptibility to multiple autoimmune diseases: a meta-analysis. Mod Rheumatol. 2016;26(5):749–56.CrossRefPubMed Li J, Zhang C, Wang JB, Chen SS, Zhang TP, Li S, Pan HF, Ye DQ. Relationship between the IL12B (rs3212227) gene polymorphism and susceptibility to multiple autoimmune diseases: a meta-analysis. Mod Rheumatol. 2016;26(5):749–56.CrossRefPubMed
24.
go back to reference Morahan G, McKinnon E, Berry J, Browning B, Julier C, Pociot F, James I. Evaluation of IL12B as a candidate type I diabetes susceptibility gene using data from the type I diabetes genetics consortium. Genes Immun. 2009;10 Suppl 1:S64–8.CrossRefPubMed Morahan G, McKinnon E, Berry J, Browning B, Julier C, Pociot F, James I. Evaluation of IL12B as a candidate type I diabetes susceptibility gene using data from the type I diabetes genetics consortium. Genes Immun. 2009;10 Suppl 1:S64–8.CrossRefPubMed
25.
go back to reference Eirís N, González-Lara L, Santos-Juanes J, Queiro R, Coto E, Coto-Segura P. Genetic variation at IL12B, IL23R and IL23A is associated with psoriasis severity, psoriatic arthritis and type 2 diabetes mellitus. J Dermatol Sci. 2014;75(3):167–72.CrossRefPubMed Eirís N, González-Lara L, Santos-Juanes J, Queiro R, Coto E, Coto-Segura P. Genetic variation at IL12B, IL23R and IL23A is associated with psoriasis severity, psoriatic arthritis and type 2 diabetes mellitus. J Dermatol Sci. 2014;75(3):167–72.CrossRefPubMed
26.
go back to reference Heard-Costa NL, Zillikens MC, Monda KL, Johansson A, Harris TB, Fu M, Haritunians T, Feitosa MF, Aspelund T, Eiriksdottir G, et al. NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE consortium. PLoS Genet. 2009;5(6):e1000539.CrossRefPubMedPubMedCentral Heard-Costa NL, Zillikens MC, Monda KL, Johansson A, Harris TB, Fu M, Haritunians T, Feitosa MF, Aspelund T, Eiriksdottir G, et al. NRXN3 is a novel locus for waist circumference: a genome-wide association study from the CHARGE consortium. PLoS Genet. 2009;5(6):e1000539.CrossRefPubMedPubMedCentral
27.
go back to reference Bille DS, Banasik K, Justesen JM, Sandholt CH, Sandbaek A, Lauritzen T, Jorgensen T, Witte DR, Holm JC, Hansen T, et al. Implications of central obesity-related variants in LYPLAL1, NRXN3, MSRA, and TFAP2B on quantitative metabolic traits in adult Danes. PLoS One. 2011;6(6):e20640.CrossRefPubMedPubMedCentral Bille DS, Banasik K, Justesen JM, Sandholt CH, Sandbaek A, Lauritzen T, Jorgensen T, Witte DR, Holm JC, Hansen T, et al. Implications of central obesity-related variants in LYPLAL1, NRXN3, MSRA, and TFAP2B on quantitative metabolic traits in adult Danes. PLoS One. 2011;6(6):e20640.CrossRefPubMedPubMedCentral
28.
go back to reference Despres J. Intra-abdominal obesity: an untreated risk factor for type 2 diabetes and cardiovascular disease. J Endocrinol Investig. 2006;29(3):77. Despres J. Intra-abdominal obesity: an untreated risk factor for type 2 diabetes and cardiovascular disease. J Endocrinol Investig. 2006;29(3):77.
29.
go back to reference Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ, Yudkin JS, Heine RJ, Nijpels G, Seidell JC. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn study. Am J Clin Nutr. 2003;77(5):1192–7.CrossRefPubMed Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Kostense PJ, Yudkin JS, Heine RJ, Nijpels G, Seidell JC. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn study. Am J Clin Nutr. 2003;77(5):1192–7.CrossRefPubMed
30.
go back to reference Hammes HP, Welp R, Kempe HP, Wagner C, Siegel E, Holl RW. Risk factors for retinopathy and DME in type 2 diabetes-results from the German/Austrian DPV database. PLoS One. 2015;10(7):e0132492.CrossRefPubMedPubMedCentral Hammes HP, Welp R, Kempe HP, Wagner C, Siegel E, Holl RW. Risk factors for retinopathy and DME in type 2 diabetes-results from the German/Austrian DPV database. PLoS One. 2015;10(7):e0132492.CrossRefPubMedPubMedCentral
31.
go back to reference van Leiden HA, Dekker JM, Moll AC, Nijpels G, Heine RJ, Bouter LM, Stehouwer CD, Polak BC. Blood pressure, lipids, and obesity are associated with retinopathy: the Hoorn study. Diabetes Care. 2002;25(8):1320–5.CrossRefPubMed van Leiden HA, Dekker JM, Moll AC, Nijpels G, Heine RJ, Bouter LM, Stehouwer CD, Polak BC. Blood pressure, lipids, and obesity are associated with retinopathy: the Hoorn study. Diabetes Care. 2002;25(8):1320–5.CrossRefPubMed
32.
go back to reference Docampo E, Ribases M, Gratacos M, Bruguera E, Cabezas C, Sanchez-Mora C, Nieva G, Puente D, Argimon-Pallas JM, Casas M, et al. Association of neurexin 3 polymorphisms with smoking behavior. Genes Brain Behav. 2012;11(6):704–11.CrossRefPubMed Docampo E, Ribases M, Gratacos M, Bruguera E, Cabezas C, Sanchez-Mora C, Nieva G, Puente D, Argimon-Pallas JM, Casas M, et al. Association of neurexin 3 polymorphisms with smoking behavior. Genes Brain Behav. 2012;11(6):704–11.CrossRefPubMed
33.
go back to reference Shim SH, Kim SG, Bae JH, Yu HG, Song SJ. Risk factors for progression of early age-related macular degeneration in Koreans. Ophthalmic Epidemiol. 2016;23(2):80–7.CrossRefPubMed Shim SH, Kim SG, Bae JH, Yu HG, Song SJ. Risk factors for progression of early age-related macular degeneration in Koreans. Ophthalmic Epidemiol. 2016;23(2):80–7.CrossRefPubMed
34.
go back to reference Fu YP, Hallman DM, Gonzalez VH, Klein BE, Klein R, Hayes MG, Cox NJ, Bell GI, Hanis CL. Identification of diabetic retinopathy genes through a genome-wide association study among Mexican-Americans from Starr County, Texas. J Ophthalmol. 2010;2010. https://doi.org/10.1155/2010/861291. Fu YP, Hallman DM, Gonzalez VH, Klein BE, Klein R, Hayes MG, Cox NJ, Bell GI, Hanis CL. Identification of diabetic retinopathy genes through a genome-wide association study among Mexican-Americans from Starr County, Texas. J Ophthalmol. 2010;2010. https://​doi.​org/​10.​1155/​2010/​861291.
35.
go back to reference Peng D, Wang J, Zhang R, Jiang F, Tang S, Chen M, Yan J, Sun X, Wang S, Wang T, et al. Common variants in or near ZNRF1, COLEC12, SCYL1BP1 and API5 are associated with diabetic retinopathy in Chinese patients with type 2 diabetes. Diabetologia. 2015;58(6):1231–8.CrossRefPubMed Peng D, Wang J, Zhang R, Jiang F, Tang S, Chen M, Yan J, Sun X, Wang S, Wang T, et al. Common variants in or near ZNRF1, COLEC12, SCYL1BP1 and API5 are associated with diabetic retinopathy in Chinese patients with type 2 diabetes. Diabetologia. 2015;58(6):1231–8.CrossRefPubMed
36.
go back to reference Leak TS, Keene KL, Langefeld CD, Gallagher CJ, Mychaleckyj JC, Freedman BI, Bowden DW, Rich SS, Sale MM. Association of the proprotein convertase subtilisin/kexin-type 2 (PCSK2) gene with type 2 diabetes in an African American population. Mol Genet Metab. 2007;92(1–2):145–50.CrossRefPubMedPubMedCentral Leak TS, Keene KL, Langefeld CD, Gallagher CJ, Mychaleckyj JC, Freedman BI, Bowden DW, Rich SS, Sale MM. Association of the proprotein convertase subtilisin/kexin-type 2 (PCSK2) gene with type 2 diabetes in an African American population. Mol Genet Metab. 2007;92(1–2):145–50.CrossRefPubMedPubMedCentral
37.
go back to reference Zheng X, Ren W, Zhang S, Liu J, Li S, Li J, Yang P, He J, Su S, Li P. Association of type 2 diabetes susceptibility genes (TCF7L2, SLC30A8, PCSK1 and PCSK2) and proinsulin conversion in a Chinese population. Mol Biol Rep. 2012;39(1):17–23.CrossRefPubMed Zheng X, Ren W, Zhang S, Liu J, Li S, Li J, Yang P, He J, Su S, Li P. Association of type 2 diabetes susceptibility genes (TCF7L2, SLC30A8, PCSK1 and PCSK2) and proinsulin conversion in a Chinese population. Mol Biol Rep. 2012;39(1):17–23.CrossRefPubMed
38.
go back to reference Sharma N, Ooi J, Ong J, Newman D. The use of fenofibrate in the management of patients with diabetic retinopathy: an evidence-based review. Aust Fam Physician. 2015;44:367–70.PubMed Sharma N, Ooi J, Ong J, Newman D. The use of fenofibrate in the management of patients with diabetic retinopathy: an evidence-based review. Aust Fam Physician. 2015;44:367–70.PubMed
Metadata
Title
Genome-wide association studies for diabetic macular edema and proliferative diabetic retinopathy
Authors
Patricia S. Graham
Georgia Kaidonis
Sotoodeh Abhary
Mark C. Gillies
Mark Daniell
Rohan W. Essex
John H. Chang
Stewart R. Lake
Bishwanath Pal
Alicia J. Jenkins
Alex W. Hewitt
Ecosse L. Lamoureux
Philip G. Hykin
Nikolai Petrovsky
Matthew A. Brown
Jamie E. Craig
Kathryn P. Burdon
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Medical Genetics / Issue 1/2018
Electronic ISSN: 1471-2350
DOI
https://doi.org/10.1186/s12881-018-0587-8

Other articles of this Issue 1/2018

BMC Medical Genetics 1/2018 Go to the issue