HIV infection among ethnic minority and migrant men who have sex with men in Britain

To examine human immunodeficiency virus (HIV) infection among men who have sex with men (MSM) from different ethnic and migrant groups living in Britain.

Sexual mixing and HIV risk among ethnic minority MSM in Britain

We conducted a cross-sectional online survey of men who have sex with men (MSM) living in Britain in 2007-2008 to examine sexual mixing among ethnic minority MSM. The sample comprised 115 black, 112 South Asian, 47 Chinese and 4,434 white MSM who reported unprotected anal intercourse (UAI) in the previous 3 months. In each ethnic minority group, MSM were three times more likely to report UAI with a partner of the same ethnicity than would be expected by chance alone (χ(2) > 8.43, p < 0.05). Nonetheless, most (>80 %) ethnic minority MSM reported UAI with men from an ethnic group other than their own. In multivariable analysis there was statistical evidence that, compared with white British MSM, self-reported HIV seropositivity remained low for South Asian and Chinese MSM after adjusting for UAI with partners of the same ethnicity (e.g. South Asian MSM, adjusted odds ratio 0.35, 95 % CI 0.19-0.66). This analysis suggests that differences in self-reported HIV seropositivity between ethnic minority and white MSM in Britain cannot be explained by sexual mixing with partners from the same ethnic group.

The experiences of ethnic minority MSM using NHS sexual health clinics in Britain

To compare the experiences of ethnic minority and white British men who have sex with men (MSM) who attend NHS sexual health clinics in Britain.

Evolutionary forces shaping genomic islands of population differentiation in humans

Background Levels of differentiation among populations depend both on demographic and selective factors: genetic drift and local adaptation increase population differentiation, which is eroded by gene flow and balancing selection. We describe here the genomic distribution and the properties of genomic regions with unusually high and low levels of population differentiation in humans to assess the influence of selective and neutral processes on human genetic structure. Methods Individual SNPs of the Human Genome Diversity Panel (HGDP) showing significantly high or low levels of population differentiation were detected under a hierarchical-island model (HIM). A Hidden Markov Model allowed us to detect genomic regions or islands of high or low population differentiation. Results Under the HIM, only 1.5% of all SNPs are significant at the 1% level, but their genomic spatial distribution is significantly non-random. We find evidence that local adaptation shaped high-differentiation islands, as they are enriched for non-synonymous SNPs and overlap with previously identified candidate regions for positive selection. Moreover there is a negative relationship between the size of islands and recombination rate, which is stronger for islands overlapping with genes. Gene ontology analysis supports the role of diet as a major selective pressure in those highly differentiated islands. Low-differentiation islands are also enriched for non-synonymous SNPs, and contain an overly high proportion of genes belonging to the 'Oncogenesis' biological process. Conclusions Even though selection seems to be acting in shaping islands of high population differentiation, neutral demographic processes might have promoted the appearance of some genomic islands since i) as much as 20% of islands are in non-genic regions ii) these non-genic islands are on average two times shorter than genic islands, suggesting a more rapid erosion by recombination, and iii) most loci are strongly differentiated between Africans and non-Africans, a result consistent with known human demographic history.