Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
This work was supported by the National Institutes of Health (HD069381); Abbott Nutrition through the Center for Nutrition, Learning, and Memory (CNLM) (2012-04608) and Department of Kinesiology and Community Health at the University of Illinois at Urbana – Champaign
METHODS
RESULTS
CONCLUSION
Aims and Hypothesis
Aim: This study aimed to examine the genetic influence of BCO1 and CD36 on MPOD, and how this influence is affected by sex and weight status in children aged from 7-12 years.
Hypothesis: We hypothesized that SNPs near the BCO1 gene (rs7501331, rs12934922, rs6420424) and near the CD36 gene (rs3173798, rs10499859, rs1527483) influence MPOD differently based on sex and weight status.
Macular Pigment Optical Density
MPOD was assessed using Customized Heterochromatic Flicker Photometry (cHFP).
DNA Collection and Genotyping
DNA was obtained via saliva samples (Oragene DNA self-collection kit. DNA Genotek Inc., Ottawa, Ontario, Canada) and then manually extracted. Samples were then genotyped for 6 SNPs (BCO1: rs7501331, rs12934922, rs6420424) (CD36: rs3173798, rs10499859, rs1527483) at the Functional Genomics Unit of the W.M. Keck Center at the University of Illinois using the Fluidigm® SNP genotyping platform.
BACKGROUND
DEFINITIONS
Variable | N (%) | Mean |
N | 134 | |
Race | | |
American Indian or Alaska Native | 3 (2.2) | |
Asian | 10 (7.5) | |
Black or African American | 28 (20.9) | |
White or Caucasian | 52 (38.8) | |
Mixed or Other | 41 (30.6) | |
Male | 55 (41.0) | |
Age (year) | | 8.64 ± .52 |
MPOD (log units) | | .57 ± .23 |
BMI Percentile | | 70.03 ± 28.54 |
Anthropometric Measures
Participants height and weight were measured without shoes, using a stadiometer and a digital scale, respectively. Each measurement was taken three times and the average was used for analyses.
Statistical Analysis
All statistical analyses were performed using SPSS Statistics version 24 (IBM, Armonk, New York). Independent T tests were used to compare the difference in MPOD between groups.
Table 1: Subject demographics MPOD and BMI statistics
Sex | SNP | | N | MPOD | P-value |
Male | rs3173798 | TT + CT | 21 | 0.394 ± 0.206 | <0.01 |
| CC | 34 | 0.615 ± 0.180 | ||
| rs1527483 | CC + CT | 10 | 0.323 ± 0.170 | 0.001 |
| | TT | 45 | 0.576 ± 0.201 | |
Female | rs3173798 | TT + CT | 26 | 0.530 ± 0.208 | 0.081 |
| | CC | 53 | 0.626 ± 0.235 | |
| rs1527483 | CC + CT | 11 | 0.593 ± 0.162 | 0.972 |
| | TT | 68 | 0.595 ± 0.240 | |
Table 3: Effect of Sex on the relationship between SNPs and MPOD
Table 4: Effect of BMI percentile on the relationship between SNPs and MPOD
Gene | SNPs | Major/Minor Allele | Minor Allele Frequency |
BCO1 | rs7501331 | C>T | 19.4% |
| rs12934922 | A>T | 26.9% |
| rs6420424 | G>A | 50.8% |
CD36 | rs3173798 | T>C | 21.2% |
| rs10499859 | A>G | 41.4% |
| rs1527483 | C>T | 8.96% |
Table 2: SNP Information
Sex | SNP | | N | MPOD | P-value |
Overweight/ Obese | rs3173798 | CC + CT | 18 | 0.531 ± 0.171 | 0.138 |
| | TT | 40 | 0.623 ± 0.232 | |
| rs1527483 | TT + CT | 6 | 0.518 ± 0.216 | 0.368 |
| | CC | 52 | 0.604 ± 0.215 | |
| rs7501331 | TT + CT | 14 | 0.526 ± 0.164 | 0.177 |
| | CC | 44 | 0.617 ± 0.229 | |
Healthy/ Underweight | rs3173798 | CC + CT | 29 | 0.431 ± 0.235 | 0.00 |
| | TT | 47 | 0.620 ± 0.201 | |
| rs1527483 | TT + CT | 15 | 0.442 ± 0.206 | 0.049 |
| | CC | 61 | 0.574 ± 0.232 | |
| rs7501331 | TT + CT | 34 | 0.488 ± 0.229 | 0.041 |
| | CC | 42 | 0.597 ± 0.226 | |
Figures 1 & 2: Sample Distributions of Sex and Weight Status
ACKNOWLEDGEMENTS:
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences
Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
Background
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences
Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
Methods
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
Macular Pigment Optical Density
MPOD was assessed using Customized Heterochromatic Flicker Photometry (cHFP).
DNA Collection and Genotyping
DNA was obtained via saliva samples (Oragene DNA self-collection kit. DNA Genotek Inc., Ottawa, Ontario, Canada) and then manually extracted. Samples were then genotyped for 6 SNPs (BCO1: rs7501331, rs12934922, rs6420424) (CD36: rs3173798, rs10499859, rs1527483) at the Functional Genomics Unit of the W.M. Keck Center at the University of Illinois using the Fluidigm® SNP genotyping platform.
Anthropometric Measures
Participants height and weight were measured without shoes, using a stadiometer and a digital scale, respectively. Each measurement was taken three times and the average was used for analyses.
Statistical Analysis
All statistical analyses were performed using SPSS Statistics version 24 (IBM, Armonk, New York). Independent T tests were used to compare the difference in MPOD between groups.
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences
Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
Aims and Hypothesis
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
Aim: This study aimed to examine the genetic influence of BCO1 and CD36 on MPOD, and how this influence is affected by sex and weight status in children aged from 7-12 years.
Hypothesis: We hypothesized that SNPs near the BCO1 gene (rs7501331, rs12934922, rs6420424) and near the CD36 gene (rs3173798, rs10499859, rs1527483) influence MPOD differently based on sex and weight status.
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences
Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
Results
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
Variable | N (%) | Mean |
N | 134 | |
Race | | |
American Indian or Alaska Native | 3 (2.2) | |
Asian | 10 (7.5) | |
Black or African American | 28 (20.9) | |
White or Caucasian | 52 (38.8) | |
Mixed or Other | 41 (30.6) | |
Male | 55 (41.0) | |
Age (year) | | 8.64 ± .52 |
MPOD (log units) | | .57 ± .23 |
BMI Percentile | | 70.03 ± 28.54 |
Gene | SNPs | Major/Minor Allele | Minor Allele Frequency |
BCO1 | rs7501331 | C>T | 19.4% |
| rs12934922 | A>T | 26.9% |
| rs6420424 | G>A | 50.8% |
CD36 | rs3173798 | T>C | 21.2% |
| rs10499859 | A>G | 41.4% |
| rs1527483 | C>T | 8.96% |
Sex | SNP | | N | MPOD | P-value |
Male | rs3173798 | TT + CT | 21 | 0.394 ± 0.206 | <0.01 |
| CC | 34 | 0.615 ± 0.180 | ||
| rs1527483 | CC + CT | 10 | 0.323 ± 0.170 | 0.001 |
| | TT | 45 | 0.576 ± 0.201 | |
Female | rs3173798 | TT + CT | 26 | 0.530 ± 0.208 | 0.081 |
| | CC | 53 | 0.626 ± 0.235 | |
| rs1527483 | CC + CT | 11 | 0.593 ± 0.162 | 0.972 |
| | TT | 68 | 0.595 ± 0.240 | |
Sex | SNP | | N | MPOD | P-value |
Overweight/ Obese | rs3173798 | CC + CT | 18 | 0.531 ± 0.171 | 0.138 |
| | TT | 40 | 0.623 ± 0.232 | |
| rs1527483 | TT + CT | 6 | 0.518 ± 0.216 | 0.368 |
| | CC | 52 | 0.604 ± 0.215 | |
| rs7501331 | TT + CT | 14 | 0.526 ± 0.164 | 0.177 |
| | CC | 44 | 0.617 ± 0.229 | |
Healthy/ Underweight | rs3173798 | CC + CT | 29 | 0.431 ± 0.235 | 0.00 |
| | TT | 47 | 0.620 ± 0.201 | |
| rs1527483 | TT + CT | 15 | 0.442 ± 0.206 | 0.049 |
| | CC | 61 | 0.574 ± 0.232 | |
| rs7501331 | TT + CT | 34 | 0.488 ± 0.229 | 0.041 |
| | CC | 42 | 0.597 ± 0.226 | |
Table 1: Subject demographics MPOD and BMI statistics
Table 2: SNP Information
Table 4: Effect of BMI percentile on the relationship between SNPs and MPOD
Table 3: Effect of Sex on the relationship between SNPs and MPOD
Figures 1 & 2: Sample Distributions of Sex and Weight Status
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences
Sex and Weight Affect the Genetic Influence on MPOD in Children
Kara Zehr1, Simmer Beniwal1, Ruyu Liu2, Naiman A. Khan2
Conclusion
1Division of Molecular and Cellular Biology, 2Division of Nutritional Sciences
DIVISION OF NUTRITIONAL SCIENCES
College of Agricultural, Consumer and Environmental Sciences