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1.
J Clin Sleep Med ; 10(4): 397-402, 2014 Apr 15.
Article in English | MEDLINE | ID: mdl-24733985

ABSTRACT

STUDY OBJECTIVES: This case-control study investigated whether variations within the APOE-ε gene were associated with having a convex facial profile (skeletal Class II) compared to exhibiting a straight or concave facial profile (Class I or Class III) among patients with obstructive sleep apnea (OSA). Associations between the apnea-hypopnea index (AHI) and body mass index (BMI) scores for these OSA patients were also examined in the context of facial profile. METHOD: OSA patients with an AHI ≥ 15 were recruited from a sleep clinic and classified by facial and dental occlusal relationships based on a profile facial analysis, lateral photographs, and dental examination. Saliva was collected as a source of DNA. The APOE-ε1-4 allele-defining single nucleotide polymorphisms (SNPs) rs429358 and rs7412 were genotyped. A χ(2) analysis was used to assess Hardy-Weinberg equilibrium and for association analysis (significance at p < 0.05). ANOVA and Fisher exact test were also used. RESULT: Seventy-six Caucasian OSA patients participated in the study-25 Class II cases and 51 non-Class II cases. There was no association of the APOE-ε4 allele with facial profile among these OSA patients. Class II OSA patients had significantly lower BMIs (30.7 ± 5.78) than Class I (37.3 ± 6.14) or Class III (37.8 ± 6.17) patients (p < 0.001), although there was no statistical difference in AHI for Class II patients compared with other groups. CONCLUSION: OSA patients with Class II convex profile were more likely to have a lower BMI than those in other skeletal groups. In fact 20% of them were not obese, suggesting that a Class II convex profile may influence or be associated with OSA development independent of BMI.


Subject(s)
Apolipoprotein E4/genetics , Body Mass Index , Facial Bones/pathology , Sleep Apnea Syndromes/genetics , Sleep Apnea, Obstructive/genetics , Alleles , Case-Control Studies , Genotype , Humans , Male , Malocclusion/complications , Malocclusion/pathology , Middle Aged , Polymorphism, Single Nucleotide/genetics , Risk Factors , Sleep Apnea Syndromes/etiology , Sleep Apnea Syndromes/pathology , Sleep Apnea, Obstructive/etiology , Sleep Apnea, Obstructive/pathology
2.
Hum Biol ; 83(4): 509-21, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21846207

ABSTRACT

Many studies have used genetic markers to understand global migration patterns of our species. However, there are only few studies of human migration on a local scale. We, therefore, researched migration dynamics in three Afro-Brazilian rural communities, using demographic data and ten Ancestry Informative Markers. In addition to the description of migration and marriage structures, we carried out genetic comparisons between the three populations, as well as between locals and migrants from each community. Genetic admixture analyses were conducted according to the gene-identity method, with Sub-Saharan Africans, Amerindians, and Europeans as parental populations. The three analyzed Afro-Brazilian rural communities consisted of 16% to 30% of migrants, most of them women. The age pyramid revealed a gap in the segment of men aged between 20 to 30 yrs. While endogamous marriages predominated, exogamous marriages were mainly patrilocal. Migration dynamics are apparently associated with matrimonial customs and other social practices of such communities. The impact of migration upon the populations' genetic composition was low but showed an increase in European alleles with a concomitant decrease in the Amerindian contribution. Admixture analysis evidenced a higher African contribution to the gene pool of the studied populations, followed by the contribution of Europeans and Amerindians, respectively.


Subject(s)
Consanguinity , Emigration and Immigration/statistics & numerical data , Gene Flow/genetics , Genetic Variation/genetics , Marriage/statistics & numerical data , Rural Population/statistics & numerical data , Adult , Asian People , Black People , Brazil , Female , Humans , Male , Models, Genetic , Statistics as Topic , Surveys and Questionnaires , White People , Young Adult
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