Prioritization of Variants for Investigation of Genotype-Directed Nutrition in Human Superpopulations.
Pascal D NilssonJacklyn M NewsomeHenry M SantosMartin R SchillerPublished in: International journal of molecular sciences (2019)
Dietary guidelines recommended by key health agencies are generally designed for a global population. However, ethnicity affects human disease and environment-gene interactions, including nutrient intake. Historically, isolated human populations with different genetic backgrounds have adapted to distinct environments with varying food sources. Ethnicity is relevant to the interaction of food intake with genes and disease susceptibility; yet major health agencies generally do not recommend food and nutrients codified by population genotypes and their frequencies. In this paper, we have consolidated published nutrigenetic variants and examine their frequencies in human superpopulations to prioritize these variants for future investigation of population-specific genotype-directed nutrition. The nutrients consumed by individuals interact with their genome and may alter disease risk. Herein, we searched the literature, designed a data model, and manually curated hundreds of papers. The resulting database houses 101 variants that reached significance (p < 0.05), from 35 population studies. Nutrigenetic variants associated with modified nutrient intake have the potential to reduce the risk of colorectal cancer, obesity, metabolic syndrome, type 2 diabetes, and several other diseases. Since many nutrigenetic studies have identified a major variant in some populations, we suggest that superpopulation-specific genotype-directed nutrition modifications be prioritized for future study and evaluation. Genotype-directed nutrition approaches to dietary modification have the potential to reduce disease risk in select human populations.
Keyphrases
- endothelial cells
- type diabetes
- copy number
- metabolic syndrome
- induced pluripotent stem cells
- healthcare
- physical activity
- pluripotent stem cells
- mental health
- genome wide
- public health
- insulin resistance
- cardiovascular disease
- randomized controlled trial
- emergency department
- human health
- adipose tissue
- heavy metals
- dna methylation
- skeletal muscle
- weight gain
- gene expression
- body mass index
- transcription factor
- risk assessment
- artificial intelligence
- big data
- case control
- genetic diversity
- data analysis