Back

Sex-differential associations of BMI polygenic scores in youth with the double burden of malnutrition

Nacis, J.; Ronquillo, D. G.; Serafico, M.; Bunhiyan, R.; Fernandez, M. G.; Cruz, K.; Jara, J. A.; Desnacido, J.; Ducay, A. J.; Ferrer, E.; Gonzales, G. B.; van Duijnhoven, F. J. B.

2026-05-14 genetic and genomic medicine
10.64898/2026.05.11.26352947 medRxiv
Show abstract

ObjectiveTo examine associations of BMI-related polygenic scores (PGSs) with BMI-for-age z-score (BMIz), height-for-age z-score (HAZ), and weight; assess sex-specific effects; and test PGS-by-diet interactions in youth experiencing the double burden of malnutrition. MethodsIn this cross-sectional study of Filipino youth aged 6-19 years, we analyzed genome-wide genotype, anthropometric, and dietary data from two 24-hour recalls. Four ancestry-standardized BMI PGSs were evaluated using linear regression adjusted for age, sex, and ancestry principal components, with platform-specific estimates combined by fixed-effects meta-analysis. ResultsAll four PGSs were positively associated with BMIz ({beta} range: 0.119 - 0.320). The strongest association was observed for the multi-ancestry score PGS005202 ({beta} = 0.320; P = 2.39 x 10-9; {Delta}R2 = 4.98%). No PGS was associated with HAZ. PGS005202 and PGS005279 were associated with higher weight independent of HAZ. A significant PGS000716-by-sex interaction was observed for BMIz (q = 0.034), with an association in boys ({beta} = 0.253; P = 0.002) but not in girls ({beta} = -0.007; P = 0.93). No PGS-by-diet interaction remained significant after multiple-testing correction. ConclusionsBMI-related PGSs were associated with adiposity-related traits, but not linear growth, in Filipino youth. Findings support sex-stratified analyses and further evaluation of ancestry-inclusive PGSs in similar pediatric settings.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.1%
14.6%
2
PLOS ONE
4510 papers in training set
Top 16%
10.6%
3
The American Journal of Clinical Nutrition
19 papers in training set
Top 0.1%
9.3%
4
JAMA Network Open
127 papers in training set
Top 0.4%
6.4%
5
Scientific Reports
3102 papers in training set
Top 22%
4.9%
6
Aging
69 papers in training set
Top 0.4%
4.9%
50% of probability mass above
7
Frontiers in Pediatrics
29 papers in training set
Top 0.1%
4.4%
8
Journal of Clinical Medicine
91 papers in training set
Top 1%
4.0%
9
Human Molecular Genetics
130 papers in training set
Top 0.6%
4.0%
10
International Journal of Obesity
25 papers in training set
Top 0.2%
3.3%
11
Nutrients
64 papers in training set
Top 0.8%
2.1%
12
The Journal of Pediatrics
15 papers in training set
Top 0.3%
1.9%
13
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.7%
1.7%
14
Public Health Nutrition
14 papers in training set
Top 0.4%
1.5%
15
eClinicalMedicine
55 papers in training set
Top 1.0%
1.2%
16
BMC Public Health
147 papers in training set
Top 4%
1.2%
17
Medicine & Science in Sports & Exercise
15 papers in training set
Top 0.3%
1.2%
18
The Journal of Nutrition
21 papers in training set
Top 0.5%
0.9%
19
Frontiers in Genetics
197 papers in training set
Top 9%
0.8%
20
Journal of the American Heart Association
119 papers in training set
Top 4%
0.7%
21
Frontiers in Human Neuroscience
67 papers in training set
Top 3%
0.7%
22
PLOS Medicine
98 papers in training set
Top 5%
0.7%
23
Diabetologia
36 papers in training set
Top 1%
0.5%
24
International Journal of Epidemiology
74 papers in training set
Top 3%
0.5%
25
International Journal of Environmental Research and Public Health
124 papers in training set
Top 8%
0.5%
26
Nature Communications
4913 papers in training set
Top 68%
0.5%