Determinants and Implications of Self-perceived Authenticity: Beliefs About Authenticity and Reactions to Behavioral Incongruence

Although many perspectives suggest that authenticity is important for well-being, people do not always have direct access to the psychological processes that produce their behaviors and, thus, are not able to judge whether they are behaving consistently with their personality, attitudes, values, motives, and goals. Even so, people experience subjective feelings of authenticity and inauthenticity, raising the question of factors that influence people’s judgments of whether they are being authentic. The present studies used descriptive, correlational, experimental, and experience sampling designs to examine possible influences on self-judgments of authenticity, including the congruence between people’s behavior and inner dispositions, the positivity of the behavior, their personal beliefs about authenticity, features of the interaction, and trait authenticity. Studies 1A and 1B examined the role of people’s beliefs about authenticity in self-judgments of authenticity. Studies 2A and 2B investigated the criteria that people use to judge their behavior as authentic versus inauthentic and challenged those criteria to see whether self-perceived authenticity was affected. And, Study 3 used an experience sampling design to study people’s experiences of state authenticity in daily life. Together the studies offer insights into the determinants of self-perceived authenticity and show that many factors that influence people’s feelings of authenticity are peripheral, if not irrelevant, to actual authenticity.

Association between DNA damage response and repair genes and risk of invasive serous ovarian cancer.

BACKGROUND: We analyzed the association between 53 genes related to DNA repair and p53-mediated damage response and serous ovarian cancer risk using case-control data from the North Carolina Ovarian Cancer Study (NCOCS), a population-based, case-control study. METHODS/PRINCIPAL FINDINGS: The analysis was restricted to 364 invasive serous ovarian cancer cases and 761 controls of white, non-Hispanic race. Statistical analysis was two staged: a screen using marginal Bayes factors (BFs) for 484 SNPs and a modeling stage in which we calculated multivariate adjusted posterior probabilities of association for 77 SNPs that passed the screen. These probabilities were conditional on subject age at diagnosis/interview, batch, a DNA quality metric and genotypes of other SNPs and allowed for uncertainty in the genetic parameterizations of the SNPs and number of associated SNPs. Six SNPs had Bayes factors greater than 10 in favor of an association with invasive serous ovarian cancer. These included rs5762746 (median OR(odds ratio)(per allele) = 0.66; 95% credible interval (CI) = 0.44-1.00) and rs6005835 (median OR(per allele) = 0.69; 95% CI = 0.53-0.91) in CHEK2, rs2078486 (median OR(per allele) = 1.65; 95% CI = 1.21-2.25) and rs12951053 (median OR(per allele) = 1.65; 95% CI = 1.20-2.26) in TP53, rs411697 (median OR (rare homozygote) = 0.53; 95% CI = 0.35 - 0.79) in BACH1 and rs10131 (median OR( rare homozygote) = not estimable) in LIG4. The six most highly associated SNPs are either predicted to be functionally significant or are in LD with such a variant. The variants in TP53 were confirmed to be associated in a large follow-up study. CONCLUSIONS/SIGNIFICANCE: Based on our findings, further follow-up of the DNA repair and response pathways in a larger dataset is warranted to confirm these results.