Prostate Cancer Susceptibility in Men of African Ancestry at 8q24.

The 8q24 region harbors multiple risk variants for distinct cancers, including >8 for prostate cancer. In this study, we conducted fine mapping of the 8q24 risk region (127.8-128.8Mb) in search of novel associations with common and rare variation in 4853 prostate cancer case patients and 4678 control subjects of African ancestry. All statistical tests were two-sided. We identified three independent associations at P values of less than 5.00×10(-8), all of which were replicated in studies from Ghana and Uganda (combined sample = 5869 case patients, 5615 control subjects; rs114798100: risk allele frequency [RAF] = 0.04, per-allele odds ratio [OR] = 2.31, 95% confidence interval [CI] = 2.04 to 2.61, P = 2.38×10(-40); rs72725879: RAF = 0.33, OR = 1.37, 95% CI = 1.30 to 1.45, P = 3.04×10(-27); and rs111906932: RAF = 0.03, OR = 1.79, 95% CI = 1.53 to 2.08, P = 1.39×10(-13)). Risk variants rs114798100 and rs111906923 are only found in men of African ancestry, with rs111906923 representing a novel association signal. The three variants are located within or near a number of prostate cancer-associated long noncoding RNAs (lncRNAs), including PRNCR1, PCAT1, and PCAT2. These findings highlight ancestry-specific risk variation and implicate prostate-specific lncRNAs at the 8q24 prostate cancer susceptibility region.

The contribution of rare variation to prostate cancer heritability.

We report targeted sequencing of 63 known prostate cancer risk regions in a multi-ancestry study of 9,237 men and use the data to explore the contribution of low-frequency variation to disease risk. We show that SNPs with minor allele frequencies (MAFs) of 0.1-1% explain a substantial fraction of prostate cancer risk in men of African ancestry. We estimate that these SNPs account for 0.12 (standard error (s.e.) = 0.05) of variance in risk (∼42% of the variance contributed by SNPs with MAF of 0.1-50%). This contribution is much larger than the fraction of neutral variation due to SNPs in this class, implying that natural selection has driven down the frequency of many prostate cancer risk alleles; we estimate the coupling between selection and allelic effects at 0.48 (95% confidence interval [0.19, 0.78]) under the Eyre-Walker model. Our results indicate that rare variants make a disproportionate contribution to genetic risk for prostate cancer and suggest the possibility that rare variants may also have an outsize effect on other common traits.

Whole-exome sequencing of over 4100 men of African ancestry and prostate cancer risk.

Prostate cancer is the most common non-skin cancer in males, with a ∼1.5-2-fold higher incidence in African American men when compared with whites. Epidemiologic evidence supports a large heritable contribution to prostate cancer, with over 100 susceptibility loci identified to date that can explain ∼33% of the familial risk. To explore the contribution of both rare and common variation in coding regions to prostate cancer risk, we sequenced the exomes of 2165 prostate cancer cases and 2034 controls of African ancestry at a mean coverage of 10.1×. We identified 395 220 coding variants down to 0.05% frequency [57% non-synonymous (NS), 42% synonymous and 1% gain or loss of stop codon or splice site variant] in 16 751 genes with the strongest associations observed in SPARCL1 on 4q22.1 (rs13051, Ala49Asp, OR = 0.78, P = 1.8 × 10(-6)) and PTPRR on 12q15 (rs73341069, Val239Ile, OR = 1.62, P = 2.5 × 10(-5)). In gene-level testing, the two most significant genes were C1orf100 (P = 2.2 × 10(-4)) and GORAB (P = 2.3 × 10(-4)). We did not observe exome-wide significant associations (after correcting for multiple hypothesis testing) in single variant or gene-level testing in the overall case-control or case-case analyses of disease aggressiveness. In this first whole-exome sequencing study of prostate cancer, our findings do not provide strong support for the hypothesis that NS coding variants down to 0.5-1.0% frequency have large effects on prostate cancer risk in men of African ancestry. Higher-coverage sequencing efforts in larger samples will be needed to study rarer variants with smaller effect sizes associated with prostate cancer risk.

Comparative analysis of the human saliva microbiome from different climate zones: Alaska, Germany, and Africa.

BACKGROUND: Although the importance of the human oral microbiome for health and disease is increasingly recognized, variation in the composition of the oral microbiome across different climates and geographic regions is largely unexplored. RESULTS: Here we analyze the saliva microbiome from native Alaskans (76 individuals from 4 populations), Germans (10 individuals from 1 population), and Africans (66 individuals from 3 populations) based on next-generation sequencing of partial 16S rRNA gene sequences. After quality filtering, a total of 67,916 analyzed sequences resulted in 5,592 OTUs (defined at ≥97% identity) and 123 genera. The three human groups differed significantly by the degree of diversity between and within individuals (e.g. beta diversity: Africans > Alaskans > Germans; alpha diversity: Germans > Alaskans > Africans). UniFrac, network, ANOSIM, and correlation analyses all indicated more similarities in the saliva microbiome of native Alaskans and Germans than between either group and Africans. The native Alaskans and Germans also had the highest number of shared bacterial interactions. At the level of shared OTUs, only limited support for a core microbiome shared across all three continental regions was provided, although partial correlation analysis did highlight interactions involving several pairs of genera as conserved across all human groups. Subsampling strategies for compensating for the unequal number of individuals per group or unequal sequence reads confirmed the above observations. CONCLUSION: Overall, this study illustrates the distinctiveness of the saliva microbiome of human groups living under very different climatic conditions.

The saliva microbiome of Pan and Homo.

BACKGROUND: It is increasingly recognized that the bacteria that live in and on the human body (the microbiome) can play an important role in health and disease. The composition of the microbiome is potentially influenced by both internal factors (such as phylogeny and host physiology) and external factors (such as diet and local environment), and interspecific comparisons can aid in understanding the importance of these factors. RESULTS: To gain insights into the relative importance of these factors on saliva microbiome diversity, we here analyze the saliva microbiomes of chimpanzees (Pan troglodytes) and bonobos (Pan paniscus) from two sanctuaries in Africa, and from human workers at each sanctuary. The saliva microbiomes of the two Pan species are more similar to one another, and the saliva microbiomes of the two human groups are more similar to one another, than are the saliva microbiomes of human workers and apes from the same sanctuary. We also looked for the existence of a core microbiome and find no evidence for a taxon-based core saliva microbiome for Homo or Pan. In addition, we studied the saliva microbiome from apes from the Leipzig Zoo, and found an extraordinary diversity in the zoo ape saliva microbiomes that is not found in the saliva microbiomes of the sanctuary animals. CONCLUSIONS: The greater similarity of the saliva microbiomes of the two Pan species to one another, and of the two human groups to one another, are in accordance with both the phylogenetic relationships of the hosts as well as with host physiology. Moreover, the results from the zoo animals suggest that novel environments can have a large impact on the microbiome, and that microbiome analyses based on captive animals should be viewed with caution as they may not reflect the microbiome of animals in the wild.

Genetic and neural dissociation of individual responses to emotional expressions in human infants.

Interacting with others by interpreting and responding to their facial expressions is an essential and early developing social skill in humans. We examined whether and how variation in catechol-O-methyltransferase (COMT) and serotonin transporter (5-HTTLPR) genes is associated with 7-month-old infants' electrocortical responses to facial expressions. The results revealed that COMT variants are associated with differences in infants' brain responses to fearful faces over centro-parietal regions, whereas 5-HTTLPR variants are associated with differences in infants' brain responses to happy faces over fronto-temporal regions. Further support for differential associations of these gene variants with emotional processing came from our analysis of infant behavioral temperament: variation in COMT was associated with differences in infants' recovery from distress, whereas variation in 5-HTTLPR was associated with infants' smiling and laughter. This pattern of findings indicates that, in infancy, these genetic variants influence distinct brain systems involved in the processing of either positive or negative emotions. This has wide reaching implications for our understanding of how genetic variation biases specific brain mechanisms, giving rise to individual differences in emotional sensitivity and temperament.

Comparative analysis of human saliva microbiome diversity by barcoded pyrosequencing and cloning approaches.

Metagenomic studies traditionally rely on cloning polymerase chain reaction (PCR) products and sequencing multiple clones. However, this approach is tedious and expensive, thereby limiting the range and scale of questions that can be addressed. Recent developments in DNA sequencing technologies enable a dramatic increase in throughput via parallel in-depth analysis of many samples with limited sample processing and lower costs. We directly compared the traditional cloning approach with a barcoded pyrosequencing method to see whether the latter accurately describes microbiome diversity in human saliva. Our results indicate that despite the shorter read lengths, the pyrosequencing approach provides a description of the human salivary microbiome that is in good agreement with results based on the traditional cloning and sequencing approach.

Global diversity in the human salivary microbiome.

The human salivary microbiome may play a role in diseases of the oral cavity and interact with microbiomes from other parts of the human body (in particular, the intestinal tract), but little is known about normal variation in the salivary microbiome. We analyzed 14,115 partial ( approximately 500 bp) 16S ribosomal RNA (rRNA) sequences from saliva samples from 120 healthy individuals (10 individuals from each of 12 worldwide locations). These sequences could be assigned to 101 known bacterial genera, of which 39 were not previously reported from the human oral cavity; phylogenetic analysis suggests that an additional 64 unknown genera are present. There is high diversity in the salivary microbiome within and between individuals, but little geographic structure. Overall, approximately 13.5% of the total variance in the composition of genera is due to differences among individuals, which is remarkably similar to the fraction of the total variance in neutral genetic markers that can be attributed to differences among human populations. Investigation of some environmental variables revealed a significant association between the genetic distances among locations and the distance of each location from the equator. Further characterization of the enormous diversity revealed here in the human salivary microbiome will aid in elucidating the role it plays in human health and disease, and in the identification of potentially informative species for studies of human population history.

mtDNA and Y-chromosome variation in the Talysh of Iran and Azerbaijan.

The Northern Talysh from Azerbaijan and the Southern Talysh from Iran self-identify as one ethnic group and speak a Northwestern Iranian language. However, the Northern and Southern Talysh dialects are so different that they may actually be separate languages. Does this linguistic differentiation reflect internal change due to isolation, or could contact-induced change have played a role? We analyzed mtDNA HVI sequences, 11 Y-chromosome bi-allelic markers, and 9 Y-STR loci in Northern and Southern Talysh and compared them with their neighboring groups. The mtDNA data show a close relatedness of both groups with each other and with neighboring groups, whereas the Northern Talysh Y-chromosome variation differs from that of neighboring groups, probably as a result of genetic drift. This genetic drift most likely reflects a founder event in the male gene pool of Northern Talysh: either fewer males than females migrated to Azerbaijan, or there was a higher degree of relatedness among the male migrants. Since we find no evidence of substantial genetic contact between either Northern or Southern Talysh and neighboring groups, we conclude that internal change, rather than contact-induced change, most likely explains the linguistic differentiation between Northern and Southern Talysh.

Boundaries and clines in the West Eurasian Y-chromosome landscape: insights from the European part of Russia.

Previous studies of Y chromosome variation have revealed that western Europe, the Volga-Ural region, and the Caucasus differ dramatically with respect to Y-SNP haplogroup composition. The European part of Russia is situated in between these three regions; to determine if these differences reflect clines or boundaries in the Y-chromosome landscape, we analyzed 12 Y-SNPs in 545 males from 12 populations from the European part of Russia. The majority of Russian Y chromosomes (from 74% to 94%) belong to three Y chromosomal lineages [I-M170, R1a1-M17, and N3-TAT] that are also frequent in the rest of east Europe, north Europe, and/or in the Volga-Ural region. We find significant but low correlations between haplogroup frequencies and the geographic location of populations, suggesting gradual change in the Y chromosome gene pool across western Eurasia. However, we also find some significant boundaries between populations, suggesting that both isolation and migration have influenced the Y chromosome landscape.

The Gagauz, a linguistic enclave, are not a genetic isolate.

The Gagauz are a Turkic-speaking group that migrated from Turkey to their present location in the southern part of the Republic of Moldova about 150 years ago. Surrounded by Indo-European-speaking populations, they thus form a linguistic enclave, which raises the following question: to what extent have they remained in genetic isolation from their geographic neighbours? Analyses of mtDNA and Y chromosome variation indicate that despite their linguistic differences, the Gagauz have admixed extensively with neighbouring groups. Our data suggest that there has been more mtDNA than Y chromosome admixture, in keeping with the patrilocal nature of these groups. Moreover, when compared with another linguistic enclave, the Kalmyks there appears to be a correlation between the amount of genetic admixture and the amount of linguistic influence that these two linguistic enclaves have experienced from neighbouring groups.

Concomitant replacement of language and mtDNA in South Caspian populations of Iran.

The Gilaki and Mazandarani occupy the South Caspian region of Iran and speak languages belonging to the North-Western branch of Iranian languages . It has been suggested that their ancestors came from the Caucasus region, perhaps displacing an earlier group in the South Caspian . Linguistic evidence supports this scenario, in that the Gilaki and Mazandarani languages (but not other Iranian languages) share certain typological features with Caucasian languages . We analyzed patterns of mtDNA and Y chromosome variation in the Gilaki and Mazandarani. Based on mtDNA HV1 sequences, the Gilaki and Mazandarani most closely resemble their geographic and linguistic neighbors, namely other Iranian groups. However, their Y chromosome types most closely resemble those found in groups from the South Caucasus. A scenario that explains these differences is a south Caucasian origin for the ancestors of the Gilaki and Mazandarani, followed by introgression of women (but not men) from local Iranian groups, possibly because of patrilocality. Given that both mtDNA and language are maternally transmitted, the incorporation of local Iranian women would have resulted in the concomitant replacement of the ancestral Caucasian language and mtDNA types of the Gilaki and Mazandarani with their current Iranian language and mtDNA types. Concomitant replacement of language and mtDNA may be a more general phenomenon than previously recognized.

Evaluation of saliva as a source of human DNA for population and association studies.

A simple noninvasive procedure for saliva sample collection and DNA extraction was developed. On average, the amount of human DNA (as measured by a TaqMan-based assay) was about 11.4 microg/mL saliva, which is more than can be obtained from other noninvasive samples such as cheek swabs. However, the presence of large amounts of nonhuman DNA (up to 90% of the total extracted DNA) in saliva samples does necessitate DNA quantitation methods that are specific for human DNA. We were able to reliably and accurately type different genetic markers (mDNA sequences, Y-chromosomal single-nucleotide polymorphisms, and autosomal microsatellite loci) from saliva samples stored for up to 30 days at 37 degrees C, making this method well-suited for field conditions and convenient transportation of samples back to the laboratory. Thus, saliva can be considered a reliable source of DNA for a wide variety of genetic studies.

Genetic evidence for the Mongolian ancestry of Kalmyks.

The Kalmyks are an ethnic group along the lower Volga River in Russia who are thought to have migrated there from Mongolia about 300 years ago. To investigate their origins, we studied mtDNA and Y-chromosome variation in 99 Kalmyks. Both mtDNA HV1 sequences and Y-chromosome SNP haplogroups indicate a close relationship of Kalmyks with Mongolians. In addition, genetic diversity for both mtDNA and the Y chromosome are comparable in Kalmyks, Mongolians, and other Central Asian groups, indicating that the Kalmyk migration was not associated with a substantial bottleneck. The so-called "Genghis Khan" Y-chromosome short tandem repeat (STR) haplotype was found in high frequency (31.3%) among Kalmyks, further supporting a strong genetic connection between Kalmyks and Mongolians. Genetic analyses of even recent, relatively well-documented migrations such as of the Kalmyks can therefore lead to new insights concerning such migrations.

MtDNA and Y-chromosome variation in Kurdish groups.

In order to investigate the origins and relationships of Kurdish-speaking groups, mtDNA HV1 sequences, eleven Y chromosome bi-allelic markers, and 9 Y-STR loci were analyzed among three Kurdish groups: Zazaki and Kurmanji speakers from Turkey, and Kurmanji speakers from Georgia. When compared with published data from other Kurdish groups and from European, Caucasian, and West and Central Asian groups, Kurdish groups are most similar genetically to other West Asian groups, and most distant from Central Asian groups, for both mtDNA and the Y-chromosome. However, Kurdish groups show a closer relationship with European groups than with Caucasian groups based on mtDNA, but the opposite based on the Y-chromosome, indicating some differences in their maternal and paternal histories. The genetic data indicate that the Georgian Kurdish group experienced a bottleneck effect during their migration to the Caucasus, and that they have not had detectable admixture with their geographic neighbours in Georgia. Our results also do not support the hypothesis of the origin of the Zazaki-speaking group being in northern Iran; genetically they are more similar to other Kurdish groups. Genetic analyses of recent events, such as the origins and migrations of Kurdish-speaking groups, can therefore lead to new insights into such migrations.