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Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence.

Publication ,  Conference
Jones, M; Whitton, C; Tan, AG; Holliday, EG; Oldmeadow, C; Flood, VM; Sim, X; Chai, J-F; Hamzah, H; Klein, R; Teo, Y-Y; Mitchell, P; Wong, TY ...
Published in: Ophthalmic epidemiology
October 2020

To assess contributions of dietary and genetic factors to ethnic differences in AMD prevalence.Population-based analytical study.In the Blue Mountains Eye Study, Australia (European ancestry n = 2826) and Multi-Ethnic Cohort Study, Singapore (Asian ancestry, n = 1900), AMD was assessed from retinal photographs. Patterns of dietary composition and scores of the Alternative Healthy Eating Index were computed using food frequency questionnaire data. Genetic susceptibility to AMD was determined using either single nucleotide polymorphisms (SNPs) of the complement factor H and age-related maculopathy susceptibility 2 genes, or combined odds-weighted genetic risk scores of 24 AMD-associated SNPs. Associations of AMD with ethnicity, diet, and genetics were assessed using logistic regression. Six potential mediators covering genetic, diet and lifestyle factors were assessed for their contributions to AMD risk difference between the two samples using mediation analyses.Age-standardized prevalence of any (early or late) AMD was higher in the European (16%) compared to Asian samples (9%, p < .01). Mean AMD-related genetic risk scores were also higher in European (33.3 ± 4.4) than Asian (Chinese) samples (31.7 ± 3.7, p < .001). In a model simultaneously adjusting for age, ethnicity, genetic susceptibility and Alternative Healthy Eating Index scores, only age and genetic susceptibility were significantly associated with AMD. Genetic risk scores contributed 19% of AMD risk difference between the two samples while intake of polyunsaturated fatty acids contributed 7.2%.Genetic susceptibility to AMD was higher in European compared to Chinese samples and explained more of the AMD risk difference between the two samples than the dietary factors investigated.

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Published In

Ophthalmic epidemiology

DOI

EISSN

1744-5086

ISSN

0928-6586

Publication Date

October 2020

Volume

27

Issue

5

Start / End Page

399 / 408

Related Subject Headings

  • Singapore
  • Risk Factors
  • Prevalence
  • Macular Degeneration
  • Humans
  • Epidemiology
  • Cohort Studies
  • Australia
  • 4206 Public health
  • 4202 Epidemiology
 

Citation

APA
Chicago
ICMJE
MLA
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Jones, M., Whitton, C., Tan, A. G., Holliday, E. G., Oldmeadow, C., Flood, V. M., … Wang, J. J. (2020). Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence. In Ophthalmic epidemiology (Vol. 27, pp. 399–408). https://doi.org/10.1080/09286586.2020.1762229
Jones, Mark, Clare Whitton, Ava G. Tan, Elizabeth G. Holliday, Christopher Oldmeadow, Victoria M. Flood, Xueling Sim, et al. “Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence.” In Ophthalmic Epidemiology, 27:399–408, 2020. https://doi.org/10.1080/09286586.2020.1762229.
Jones M, Whitton C, Tan AG, Holliday EG, Oldmeadow C, Flood VM, et al. Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence. In: Ophthalmic epidemiology. 2020. p. 399–408.
Jones, Mark, et al. “Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence.Ophthalmic Epidemiology, vol. 27, no. 5, 2020, pp. 399–408. Epmc, doi:10.1080/09286586.2020.1762229.
Jones M, Whitton C, Tan AG, Holliday EG, Oldmeadow C, Flood VM, Sim X, Chai J-F, Hamzah H, Klein R, Teo Y-Y, Mitchell P, Wong TY, Tai ES, Van Dam RM, Attia J, Wang JJ. Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence. Ophthalmic epidemiology. 2020. p. 399–408.

Published In

Ophthalmic epidemiology

DOI

EISSN

1744-5086

ISSN

0928-6586

Publication Date

October 2020

Volume

27

Issue

5

Start / End Page

399 / 408

Related Subject Headings

  • Singapore
  • Risk Factors
  • Prevalence
  • Macular Degeneration
  • Humans
  • Epidemiology
  • Cohort Studies
  • Australia
  • 4206 Public health
  • 4202 Epidemiology