@article {7753,
	title = {Comprehensive analysis of polymorphisms in the HLA-G 5{\textquoteright} upstream regulatory and 3{\textquoteright} untranslated regions in Brazilian patients with systemic lupus erythematosus.},
	journal = {Tissue Antigens},
	volume = {85},
	year = {2015},
	month = {2015 Jun},
	pages = {458-65},
	abstract = {<p>This study aims to comprehensively analyze human leucocyte antigen (HLA)-G polymorphisms association with susceptibility to systemic lupus erythematosus (SLE) development and clinical manifestations. The HLA-G 5{\textquoteright} upstream regulatory region (URR), 3{\textquoteright} untranslated region (UTR) and a cytosine deletion at exon 3 (ΔC, HLA-G*0105N allele) were analyzed in 114 SLE patients and 128 healthy controls from North East Brazil. The +3003T>C (rs1707) C allele and the HG010101c extended HLA-G allele were significantly more frequent in SLE patients than healthy controls (+3003C allele frequency: 12\% in SLE patients vs 6\% in controls; odds ratio (OR), 2.10, 95\% confidence interval (CI), 1.06-4.28, P = 0.026; HG010101c frequency: 11.8\% in SLE patients and 6.3\% in controls; OR, 2.14, 95\% CI, 1.01-4.51, P = 0.046) and were associated with susceptibility for disease development. Other polymorphisms were associated with different clinical manifestations. Although HLA-G role in SLE disease is far from being elucidated yet, our association study results along with a systematic review and meta-analysis suggest that HLA-G might be able to slightly modulate the complex SLE phenotype (pooled OR, 1.14, 95\% CI, 1.02-1.27, P = 0.021).</p>},
	issn = {1399-0039},
	doi = {10.1111/tan.12545},
	author = {Catamo, E and Addobbati, C and Segat, L and Sotero Fragoso, T and Tavares Dantas, A and de Ata{\'\i}de Mariz, H and Ferreira da Rocha Junior, L and Branco PintoDuarte, A L and Coelho, A V C and de Moura, R R and Polesello, V and Crovella, S and Sandrin Garcia, P}
}
@article {7773,
	title = {A rapid screening of ancestry for genetic association studies in an admixed population from Pernambuco, Brazil.},
	journal = {Genet Mol Res},
	volume = {14},
	year = {2015},
	month = {2015},
	pages = {2876-84},
	abstract = {<p>Genetic association studies determine how genes influence traits. However, non-detected population substructure may bias the analysis, resulting in spurious results. One method to detect substructure is to genotype ancestry informative markers (AIMs) besides the candidate variants, quantifying how much ancestral populations contribute to the samples{\textquoteright} genetic background. The present study aimed to use a minimum quantity of markers, while retaining full potential to estimate ancestries. We tested the feasibility of a subset of the 12 most informative markers from a previously established study to estimate influence from three ancestral populations: European, African and Amerindian. The results showed that in a sample with a diverse ethnicity (N = 822) derived from 1000 Genomes database, the 12 AIMs had the same capacity to estimate ancestries when compared to the original set of 128 AIMs, since estimates from the two panels were closely correlated. Thus, these 12 SNPs were used to estimate ancestry in a new sample (N = 192) from an admixed population in Recife, Northeast Brazil. The ancestry estimates from Recife subjects were in accordance with previous studies, showing that Northeastern Brazilian populations show great influence from European ancestry (59.7\%), followed by African (23.0\%) and Amerindian (17.3\%) ancestries. Ethnicity self-classification according to skin-color was confirmed to be a poor indicator of population substructure in Brazilians, since ancestry estimates overlapped between classifications. Thus, our streamlined panel of 12 markers may substitute panels with more markers, while retaining the capacity to control for population substructure and admixture, thereby reducing sample processing time.</p>},
	issn = {1676-5680},
	doi = {10.4238/2015.March.31.18},
	author = {Coelho, A V C and Moura, R R and Cavalcanti, C A J and Guimar{\~a}es, R L and Sandrin-Garcia, P and Crovella, S and Brand{\~a}o, L A C}
}
