Genome-wide association study reveals sex-specific genetic architecture of facial attractiveness

Looks and longevity: Do prettier people live longer?

Social scientists have given relatively scant attention to the association between attractiveness and longevity. But attractiveness may convey underlying health, and it systematically structures critical social stratification processes. We evaluated these issues using the Wisconsin Longitudinal Study (WLS, N = 8386), a survey of Wisconsin high school graduates from 1957 which provided large samples of women and men observed until their death (or through their early 80s). In doing so, we utilized a meticulously constructed measure of facial attractiveness based on the independent ratings of high-school yearbook photographs. We used linked death information from the National Death Index-plus through 2022 and Cox proportional hazard models as well as standard life-table techniques. We found that the least attractive rated sextile of the sample had significantly higher hazards of mortality (HR: 1.168, p < 0.01) compared to the middle rated four sextiles of attractiveness. This finding remained robust to the inclusion of covariates describing high-school achievement, intelligence, family background, earnings as adults, as well as mental and physical health in middle adulthood. We also found that different specifications of the attractiveness measure consistently indicated no significant differences in the mortality hazard between highly attractive and average-looking people. Using life-table techniques, we next illustrated that among women in the least attractive sextile, at age 20 their life expectancy was nearly 2 years less than others'; among men in the least attractive sextile, it was nearly 1 year less at age 20.

Advancement in Human Face Prediction Using DNA

The rapid improvements in identifying the genetic factors contributing to facial morphology have enabled the early identification of craniofacial syndromes. Similarly, this technology can be vital in forensic cases involving human identification from biological traces or human remains, especially when reference samples are not available in the deoxyribose nucleic acid (DNA) database. This review summarizes the currently used methods for predicting human phenotypes such as age, ancestry, pigmentation, and facial features based on genetic variations. To identify the facial features affected by DNA, various two-dimensional (2D)- and three-dimensional (3D)-scanning techniques and analysis tools are reviewed. A comparison between the scanning technologies is also presented in this review. Face-landmarking techniques and face-phenotyping algorithms are discussed in chronological order. Then, the latest approaches in genetic to 3D face shape analysis are emphasized. A systematic review of the current markers that passed the threshold of a genome-wide association (GWAS) of single nucleotide polymorphism (SNP)-face traits from the GWAS Catalog is also provided using the preferred reporting items for systematic reviews and meta-analyses (PRISMA), approach. Finally, the current challenges in forensic DNA phenotyping are analyzed and discussed.

Facial attractiveness is only weakly linked to genome-wide heterozygosity

Introduction

It has been frequently suggested that overall genomic heterozygosity and, particularly, heterozygosity of loci on the so-called major histocompatibility complex (MHC), which is responsible for the recognition of foreign substances/ pathogens and the recognition of self and non-self, is associated with better health and better resistance to infections and parasites. It has further been speculated that such a potentially beneficial heterozygosity can be detected through body odor and facial attractiveness.

Methods

On the basis of genome wide SNP data (713,014 SNPs) of participants from the Wisconsin Longitudinal Study, we therefore investigated whether homozygosity either on the MHC (measured as inbreeding coefficient) or genome-wide (measured as runs of homozygosity and inbreeding coefficient) is associated with rated facial attractiveness.

Results

Although we found that the genome-wide average length of homozygous segments and the genome-wide inbreeding coefficient are significantly negatively associated with some measures of facial attractiveness, if corrected for multiple testing, any significant association was no longer formally significant after correction. In addition, the variance in facial attractiveness explained by the genome wide homozygosity is very low (<0.15%). We did not find any significant association between the inbreeding coefficient on the MHC and facial attractiveness.

Discussion

We only find a weak association of genome- wide heterozygosity and facial attractiveness.

Genome-wide association study reveals the genetic basis of growth trait in yellow catfish with sexual size dimorphism

Sexual size dimorphism has been widely observed in a large number of animals including fish species. Genome-wide association study (GWAS) is a powerful tool to dissect the genetic basis of complex traits, whereas the sex-differences in the genomics of animal complex traits have been ignored in the GWAS analysis. Yellow catfish (Pelteobagrus fulvidraco) is an important aquaculture fish in China with significant sexual size dimorphism. In this study, GWAS was conducted to identify candidate SNPs and genes related to body length (BL) and body weight (BW) in 125 female yellow catfish from a breeding population. In total, one BL-related SNP and three BW-related SNPs were identified to be significantly associated with the traits. Besides, one of these SNPs (Chr15:19195072) was shared in both the BW and BL traits in female yellow catfish, which was further validated in 185 male individuals and located on the exon of stat5b gene. Transgenic yellow catfish and zebrafish that expressed yellow catfish stat5b showed increased growth rate and reduction of sexual size dimorphism. These results not only reveal the genetic basis of growth trait and sexual size dimorphism in fish species, but also provide useful information for the marker-assisted breeding in yellow catfish.

The impact of parenting a child with serious mental illness: Accounting for the parent's genetic vulnerability to mental illness

Parents of adults with serious mental illness (SMI) often are primary caregivers for their affected relative. Prior work has suggested that the toll of caregiving is associated with poorer well-being in family caregivers, particularly parents of affected adults. However, due to methodological limitations, it has not been possible to assess these family caregivers' own genetic vulnerability to mental and physical health problems, and thus the impact of caregivers' genetic risk on well-being may not have been accounted for. With the addition of genetic data to large survey samples, family caregivers' genetic vulnerability to mental and physical health problems can now be estimated. Parents from the Wisconsin Longitudinal Study who have an adult child with an SMI (n = 265) and a comparison group of parents with a child without disabilities (n = 5,036) reported their psychological well-being and mental and physical health across 4 measures. Genetic vulnerability was assessed using polygenic risk scores of neuroticism, bipolar disorder, schizophrenia, and depression. Results indicate that the effect of having a child with an SMI still had significant effects for all 4 parental health outcomes even after controlling for these measures of genetic vulnerability. This study's results affirm the negative health impact of parenting a child with SMI, above and beyond genetic vulnerability. (PsycInfo Database Record (c) 2021 APA, all rights reserved).