title: Hormonal profile, the PROGINS polymorphism, and erectile dysfunction complaints: data from a population-based survey.
abstract: OBJECTIVE
  To evaluate a potential association among the hormonal profile, PROGINS polymorphism, and erectile dysfunction (ED) complaints in a large population-based sample in Sao Paulo, Brazil.
  
  
  METHODS
  Population-based questionnaire study.
  
  
  METHODS
  Interviews, sleep recording, and blood sample were conducted in a sleep institute.
  
  
  METHODS
  The total study participants included 467 men.
  
  
  METHODS
  General information was obtained through interviews, and a blood sample was collected for hormone levels, DNA extraction, and PROGINS genotyping.
  
  
  METHODS
  The effect of progesterone and the PROGINS polymorphism on the risk of developing ED were measured by questionnaire and blood sample.
  
  
  RESULTS
  Progesterone, prolactin, testosterone, and estradiol levels did not differ between the genotype groups (T1/T1 and T1/T2+T2/T2). No significant genotypic or allelic differences were found between individuals with ED complaints and controls. Multivariate logistic regression analyses including age, body mass index, hypertension, diabetes, apnea-hypopnea index, and genetic ancestry estimation, as well as the PROGINS polymorphism, confirmed the lack of association between the T2 allele carriers and the risk of ED (odds ratio = 0.80; 95% confidence interval = 0.40-1.62).
  
  
  CONCLUSIONS
  This is the first study to demonstrate the genotypic and allelic frequencies of the PROGINS polymorphism in a large population-based sample of men. The results do not support a direct role for the PROGINS polymorphism in the risk of developing ED; however, further examination of other variants within PR gene will be necessary to completely rule out an effect.
authors.affiliation: Departamento de Psicobiologia-Universidade Federal de São Paulo, Sao Paulo, Brazil. mandersen@psicobio.epm.br
authors.forename: Monica L
authors.initials: ML
authors.lastname: Andersen
authors.forename: Tathiana A
authors.initials: TA
authors.lastname: Alvarenga
authors.forename: Diego R
authors.initials: DR
authors.lastname: Mazzotti
authors.forename: Camila
authors.initials: C
authors.lastname: Guindalini
authors.forename: Renata
authors.initials: R
authors.lastname: Pellegrino
authors.forename: Karina F
authors.initials: KF
authors.lastname: Barrueco
authors.forename: Rogerio
authors.initials: R
authors.lastname: Santos-Silva
authors.forename: Lia R
authors.initials: LR
authors.lastname: Bittencourt
authors.forename: Sergio
authors.initials: S
authors.lastname: Tufik
mesh_terms: D000328:Adult; D000368:Aged; D000483:Alleles; D003625:Data Collection; D007172:Erectile Dysfunction / Q000175:diagnosis / Q000453:epidemiology / Q000235:genetics*; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease; D005828:Genetics, Population; D005838:Genotype; D006728:Hormones / Q000097:blood* / Q000378:metabolism; D006801:Humans; D008297:Male; D055442:Metabolome; D008875:Middle Aged; D020033:Protein Isoforms / Q000235:genetics; D011980:Receptors, Progesterone / Q000235:genetics*
chemical_list: D006728:Hormones; D020033:Protein Isoforms; D011980:Receptors, Progesterone