| Literature DB >> 29193055 |
Joanne B Cole1, Mange F Manyama2,3, Dejana Nikitovic4, Paula N Gonzalez5, Denise K Liberton6, Warren M Wilson4, Campbell Rolian7, Jacinda R Larson8, Emmanuel Kimwaga3, Joshua Mathayo3, Charles C Roseman9, Stephanie A Santorico1,10, Ken Lukowiak11,12, Richard A Spritz1, Benedikt Hallgrimsson8,13,14.
Abstract
Variation in the shape of the human face and in stature is determined by complex interactions between genetic and environmental influences. One such environmental influence is malnourishment, which can result in growth faltering, usually diagnosed by means of comparing an individual's stature with a set of age-appropriate standards. These standards for stature, however, are typically ascertained in groups where people are at low risk for growth faltering. Moreover, genetic differences among populations with respect to stature are well established, further complicating the generalizability of stature-based diagnostic tools. In a large sample of children aged 5-19 years, we obtained high-resolution genomic data, anthropometric measures and 3D facial images from individuals within and around the city of Mwanza, Tanzania. With genome-wide complex trait analysis, we partitioned genetic and environmental variance for growth outcomes and facial shape. We found that children with growth faltering have faces that look like those of older and taller children, in a direction opposite to the expected allometric trajectory, and in ways predicted by the environmental portion of covariance at the community and individual levels. The environmental variance for facial shape varied subtly but significantly among communities, whereas genetic differences were minimal. These results reveal that facial shape preserves information about exposure to undernourishment, with important implications for refining assessments of nutritional status in children and the developmental-genetics of craniofacial variation alike.Entities:
Keywords: childhood growth; complex traits; craniofacial; facial imaging; growth faltering
Mesh:
Year: 2017 PMID: 29193055 PMCID: PMC5770324 DOI: 10.1111/joa.12748
Source DB: PubMed Journal: J Anat ISSN: 0021-8782 Impact factor: 2.610