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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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 .

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.

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.