Whole genome Y-SNP calling

Whole genome Y-SNP calling

BMC Genomics 2013, 14:101 doi:10.1186/1471-2164-14-101

AMY-tree: an algorithm to use whole genome SNP calling for Y chromosomal phylogenetic applications

Anneleen Van Geystelen et al.

Abstract (provisional)

Background

Due to the rapid progress of next-generation sequencing (NGS) facilities, an explosion of human whole genome data will become available in the coming years. These data can be used to optimize and to increase the resolution of the phylogenetic Y chromosomal tree. Moreover, the exponential growth of known Y chromosomal lineages will require an automatic determination of the phylogenetic position of an individual based on whole genome SNP calling data and an up to date Y chromosomal tree.

Results

We present an automated approach, 'AMY-tree', which is able to determine the phylogenetic position of a Y chromosome using a whole genome SNP profile, independently from the NGS platform and SNP calling program, whereby mistakes in the SNP calling or phylogenetic Y chromosomal tree are taken into account. Moreover, AMY-tree indicates ambiguities within the present phylogenetic tree and points out new Y-SNPs which may be phylogenetically relevant. The AMY-tree software package was validated successfully on 118 whole genome SNP profiles of 109 males with different origins. Moreover, support was found for an unknown recurrent mutation, wrong reported mutation conversions and a large amount of new interesting Y-SNPs.

Conclusions

Therefore, AMY-tree is a useful tool to determine the Y lineage of a sample based on SNP calling, to identify Y-SNPs with yet unknown phylogenetic position and to optimize the Y chromosomal phylogenetic tree in the future. AMY-tree will not add lineages to the existing phylogenetic tree of the Y-chromosome but it is the first step to analyse whole genome SNP profiles in a phylogenetic framework.

Link

Deep whole-genome sequencing of 100 Malays

Deep whole-genome sequencing of 100 Malays

The 1000 Genomes Project is the largest collection of full human genomes currently available, but most of its 2.5k samples have been sequenced at low coverage. One downside of this is that infrequent variants are often missed. If an individual is polymorphic at some site, then the chance of detecting this polymorphism increases with the number of reads covering that site. If a number of individuals are sampled, then polymorphisms that are common in the population will probably be detected in a few individuals even if a low number of reads is used for each of them; but, if they are infrequent, then they are more likely to be missed. Hence, low-coverage sequencing of population samples will tend to find common variants and will tend to miss less common variants relative to high-coverage sequencing.

This idea is intuitively correct, but the question of the added power of high-coverage sequencing to detect variants can only be addressed by giving the same individuals both low- and high-coverage sequencing. This is the topic of a new paper in AJHG which creates a useful comparison benchmark for the performance of the two types of sequencing methods. High-coverage sequencing may be needed for things like disease studies (because deleterious alleles tend to be low-frequency), or the study of recent human demography (because recent population growth has resulted in an abundance of low-frequency SNPs that have not had enough time to reach a high population frequency yet).

AJHG dx.doi.org/10.1016/j.ajhg.2012.12.005

Deep Whole-Genome Sequencing of 100 Southeast Asian Malays

Lai-Ping Wong et al.


Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30? coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (less than 5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.

Link

Ethiopian origins (Pagani et al. 2012)

Ethiopian origins (Pagani et al. 2012)

The study attempts to answer four questions:

Our current study is motivated by four questions. First, where do the Ethiopians stand in the African genetic landscape? Second, what is the extent of recent gene flow from outside Africa into Ethiopia, when did it occur, and is there evidence of selection effects? Third, do genomic data support a route for out-of-Africa migration of modern humans across the mouth of the Red Sea? Fourth, assuming temporal stability of current populations, what are the estimated ages of Ethiopian populations relative to other African groups?

Link to press release. Link the supplemental data.

The authors reiterate that modern humans left Africa 50-70kya, a hypothesis that seems to me pretty much dead in the light of recent archaeological evidence.

The lack of antiquity in the Ethiopian population, even in only the African component thereof argues against that population being ancestral to modern humans. Note that if the Out-of-East Africa hypothesis is correct, then skulls like Omo I represent ancestral modern humans and they are followed much later by modern humans anywhere else. So, while anatomical modernity may have emerged in East Africa --or maybe not; let's not forget that we have early modern skulls from the region in part because of the excellent preservation conditions and excess of scholarly interest-- there is no evidence that they spread from there.

I have little doubt that my own theory about substantial back-migration of Eurasians into Africa will eventually win the day. Of course, I am not referring to the recent (in the last 3,000 years) admixture with West Eurasians that the Ethiopian population has undergone, but rather to the more ancient migration that was probably associated with Y-haplogroup DE-YAP.

The fact that the African component of diverse African populations is more closely related to West than to East Eurasians is one piece of evidence among many for that scenario. Hopefully, it can be tested soon using whole genome data which may have enough density to detect much older admixture events.

UPDATE I: Since the dates in the paper are based on ROLLOFF, a piece of software that is not publicly available more than a year after its announcement, and which contradicts other software released by the same authors, I will take the Queen of Sheba stories circulated in the media with a huge grain of salt.

The American Journal of Human Genetics, 21 June 2012 doi:10.1016/j.ajhg.2012.05.015

Ethiopian Genetic Diversity Reveals Linguistic Stratification and Complex Influences on the Ethiopian Gene Pool

Luca Pagani et al.

Humans and their ancestors have traversed the Ethiopian landscape for millions of years, and present-day Ethiopians show great cultural, linguistic, and historical diversity, which makes them essential for understanding African variability and human origins. We genotyped 235 individuals from ten Ethiopian and two neighboring (South Sudanese and Somali) populations on an Illumina Omni 1M chip. Genotypes were compared with published data from several African and non-African populations. Principal-component and STRUCTURE-like analyses confirmed substantial genetic diversity both within and between populations, and revealed a match between genetic data and linguistic affiliation. Using comparisons with African and non-African reference samples in 40-SNP genomic windows, we identified “African” and “non-African” haplotypic components for each Ethiopian individual. The non-African component, which includes the SLC24A5 allele associated with light skin pigmentation in Europeans, may represent gene flow into Africa, which we estimate to have occurred ∼3 thousand years ago (kya). The African component was found to be more similar to populations inhabiting the Levant rather than the Arabian Peninsula, but the principal route for the expansion out of Africa ∼60 kya remains unresolved. Linkage-disequilibrium decay with genomic distance was less rapid in both the whole genome and the African component than in southern African samples, suggesting a less ancient history for Ethiopian populations.

Link

Introgression of archaic haplotype at OAS1 in Melanesians (Mendez et al. 2012)

Introgression of archaic haplotype at OAS1 in Melanesians (Mendez et al. 2012)

It seems that Michael Hammer was good on his promise that in 2012 "This year, we should be able to confirm what we found and go way beyond that."  In a new paper, conclusive evidence is presented about introgression of an archaic sequence into Melanesian populations. The argument is as follows:

• Melanesians are more diverse in that region than Africans.
• The common ancestor of the "archaic" and "African" haplotypes lived >3 million years ago.
• The "archaic" haplotype matches the ancient DNA from the Denisova hominin.
• Balancing selection (which can sometimes maintain extremely old polymorphism) is not reasonable in this case, because it would need to maintain both "archaic" and "African" haplotypes for a long time, but then (inexplicably) would continue to operate in Melanesia and cease to operate everywhere else.

Notice that once again, this is based on resequencing a small region of the genome. This is why I am all the more confident in my prediction that the advent of full genome sequencing will uncover more archaic admixture in humans. It may not always be able to use all the above listed criteria to confirm this admixture (since we do not and cannot have ancient DNA from all the archaic hominins that once roamed the planet), but all the remaining ones will suffice to make a very good case for introgression.

What I find particularly interesting, is that Mendez et al. re-iterate a few times that genomewide averages admit to different explanations:

Full genome comparisons of the Neandertal and Denisova draft genomes with modern human sequences have revealed different amounts of shared ancestry between each of these archaic forms and anatomically modern human (AMH) populations from different geographic regions. For example, a higher proportion of SNPs was shared between non-African and Neandertal, and between Melanesian and the Denisova genomes, than between either Neandertal or Denisova and extant African genomes (Green et al. 2010; Reich et al. 2010). An intriguing possibility is that these patterns result from introgression of archaic genes into AMH populations in Eurasia. However, this SNP sharing pattern could also be explained by ancestral population structure in Africa (i.e., without the need to posit introgression). For example, if non-Africans and the ancestors of Neandertals descend from the same deme in a subdivided African population, and this structure persisted with low levels of gene flow among African residents until the ancestors of non-Africans migrated into Eurasia, then we would expect more SNP sharing between non-Africans and Neandertals (Durand et al. 2011). 

... 

While genome-wide comparisons detect more sequence agreement between non-African and Neandertal genomes, and between Melanesian and Denisova genomes, the specific loci exhibiting these signals have not yet been identified. Furthermore, current analyses do not elucidate the relative roles of recent introgression versus long-term population structure in Africa in explaining these patterns.

The current paper does a good job at showing how in one particular region archaic introgression into Melanesians is indeed the best explanation for the evidence. But, the fact that the authors seem to re-iterate the possibility of African population structure and repeatedly caution against using patterns of genomewide sharing between modern and archaic humans is a strong hint that there are more things to come on the topic.

We should remember that the widely-circulated estimates of Neandertal->Eurasian introgression are based on genomewide averages. It is true that Reich et al. (2010) identified 13 regions of potential Neandertal introgression, which together make up a very small portion of the human genome. So, the jury is out on whether African population structure or Neandertal introgression is responsible for most of the genomewide pattern.

What you can be sure of is that many scientists are busy lining up full genomes from different human populations as we speak, and finding plenty of regions where haplotypes of extremely old divergence times co-exist in our species. We will probably learn more about such efforts during 2012.



Mol Biol Evol (2012)doi: 10.1093/molbev/msr301

Global genetic variation at OAS1 provides evidence of archaic admixture in Melanesian populations

Fernando L. Mendez, Joseph C. Watkins and Michael F. Hammer

Recent analysis of DNA extracted from two Eurasian forms of archaic human show that more genetic variants are shared with humans currently living in Eurasia than with anatomically modern humans in sub-Saharan Africa. While these genome-wide average measures of genetic similarity are consistent with the hypothesis of archaic admixture in Eurasia, analyses of individual loci exhibiting the signal of archaic introgression are needed to test alternative hypotheses and investigate the admixture process. Here, we provide a detailed sequence analysis of the innate immune gene, OAS1, a locus with a divergent Melanesian haplotype that is very similar to the Denisova sequence from the Altai region of Siberia. We re-sequenced a 7 kb region encompassing the OAS1 gene in 88 individuals from 6 Old World populations (San, Biaka, Mandenka, French Basque, Han Chinese, and Papua New Guineans) and discovered previously unknown and ancient genetic variation. The 5' region of this gene has unusual patterns of diversity, including 1) higher levels of nucleotide diversity in Papuans than in sub-Saharan Africans, 2) very deep ancestry with an estimated time to the most recent common ancestor of >3 million years, and 3) a basal branching pattern with Papuan individuals on either side of the rooted network. A global geographic survey of >1500 individuals showed that the divergent Papuan haplotype is nearly restricted to populations from eastern Indonesia and Melanesia. Polymorphic sites within this haplotype are shared with the draft Denisova genome over a span of ∼90 kb and are associated with an extended block of linkage disequilibrium, supporting the hypothesis that this haplotype introgressed from an archaic source that likely lived in Eurasia.

Link