Biology subjects

Cassidy, L. M.

Publications and source records attributed to Cassidy, L. M..

7 recordsLinked to original sources

bioRxiv2026

Plague-driven selection enriched familial Mediterranean fever mutations in Armenia

The discovery that positive selection due to resistance to malarial infection maintained the prevalence of sickle cell and other disease alleles was a landmark in evolution, genetics and epidemiology. Mutations in the MEFV gene causing familial Mediterranean fever with high frequency in Eastern Mediterranean populations give the only other strong candidates for a similar process. Here we estimate a pathogenic MEFV mutation burden in Armenians with a carrier rate of ~41%: a worldwide maximum. By combining these data with regional ancient MEFV genotypes spanning more than 60 centuries, we establish that the allele frequencies of three mutations M694V, M680I, and V726A underwent recent rapid increases, indicating positive selection with an onset consistent with the first Yersinia pestis plague pandemic, ~541 CE to 767 CE or even earlier in time, echoing functional data implying resistance to this infection as the selective agent. This extends to three the number of MEFV variants for which there is evidence for strong concurrent selection at this locus in the Eastern Mediterranean, making it unlikely that this geographic peak resulted from chance alone. Although bubonic plague was extremely widespread, the restricted geography of this selection points toward the Eastern Mediterranean as a longstanding enzootic centre with continuous recycling of outbreaks.

genomics↗

bioRxiv2025

Palaeoproteomic and genetic insights into millennial-scale dairy consumption in Armenia

Dairy products are a key component of the diet in Armenia today, yet the origins of milk consumption, its historical development, and genetic adaptations related to milk digestion in the region remain understudied. Here, we investigate the co-evolution of dairying practices and lactase persistence in Armenia through combined palaeoproteomic and genetic analyses spanning from prehistory to the present. Our palaeoproteomic results provide direct evidence for milk consumption in prehistoric Armenia and, in conjunction with existing regional data, indicate that dairying was an established component of the South Caucasus subsistence economy from at least the late fourth millennium BCE. We found evidence of milk consumption from multiple species across archaeological periods, with cattle milk representing the earliest confirmed evidence from the Chalcolithic period. Notably, milk proteins were predominantly recovered from high-altitude sites, suggesting that dairy consumption served as an adaptive strategy for harsh highland environmental conditions. In contrast to the widespread evidence for milk consumption, our genetic findings indicate that the lactase persistence-associated variants never reached high frequencies throughout Armenian prehistory. This pattern suggests that the relatively low frequency of lactase persistence may reflect a predominant cultural adaptation to the fermentation of dairy products, which reduces lactose content and enables dairy use even in genetically lactose-intolerant populations.

evolutionary biology↗

bioRxiv2025

Archaic ancestry inference in imputed ancient human genomes

When modern humans expanded from Africa into Eurasia, they interbred with archaic hominins such as Neanderthals and Denisovans. This groundbreaking discovery, made in part possible through the genomic analysis of archaic remains, reshaped our understanding of human origins, and opened new research avenues to study the effects and consequences of archaic introgression. While significant progress has been made in identifying and quantifying archaic introgression, most studies have focused on contemporary individual genomic data. As a result, relatively little is known about the evolution of archaic variants within modern human populations shortly after interbreeding occurred. While analysis of ancient DNA from modern humans offers the potential to address this scientific gap, its poor quality has hindered its exploration. However, recent studies have shown that imputation using contemporary reference panels can accurately infer missing genotypes in ancient genomes. Here, we investigate the feasibility of using imputation to improve both global and local archaic ancestry inference in ancient genomes, by downsampling to different low-coverage values and imputing 20 high-coverage (>10X) ancient genomes, representing individuals from diverse temporal and geographical contexts. We tested the reliability of detecting and quantifying archaic introgression using D-statistics and the f4-ratio. We identified consistent results from the imputed and the original ancient genomes, suggesting that genomic estimates to detect and quantify introgression work well in imputed genomes. Regarding Local Ancestry Inference we find that we can identify more introgressed segments in imputed genomes than in non-imputed genomes. Surprisingly, we find that imputation accuracy is even higher in regions of archaic ancestry compared to other regions of the genome, facilitating the detection of introgressed segments in imputed genomes. Imputation also allows detection of Denisovan segments in Siberian and Alaskan individuals. We show that segments identified even at 0.0625X coverage can be used to reconstruct the history of introgressed haplotypes. For example, comparisons with archaic segments in contemporary humans reveal that the oldest individual analyzed, UstIshim, carried segments that are now found exclusively in either European or East Eurasian populations, indicating that these segments co-occurred in a shared ancestral population. By comparing only ancient individuals, we demonstrate that clustering based solely on the identified archaic segments effectively groups individuals into genetic clusters that correspond to populations defined by geography and time. This analysis shows a clear distinction between individuals with Denisovan introgression and those without, as well as a more detailed separation between Mesolithic and Neolithic Europeans, with the latter closely resembling Central Eurasian individuals. Furthermore, despite the small sample size in this study, we are able to reconstruct the origins of genes identified as candidates for adaptive introgression in contemporary populations, such as the BCN2 gene, which is an adaptively introgressed gene identified in contemporary West Eurasians. Additionally, we identify new candidates for adaptive introgression including LEMD2 and MLN in Europe. In this gene-region, imputation helps resolve the introgressed haplotype, which is closest to the Vindija Neanderthal haplotype.

genomics↗

bioRxiv2024

Ancient genomics reveals a genetic continuum with dual structure in the Classic Copan

Copan was a major capital at the southeasternmost of the Maya civilization, serving as a crossroads connecting Central and South America. In 426/427 CE, the city witnessed the establishment of a royal dynasty, which endured for approximately 400 years. Despite extensive historical and archaeological records, there remains limited information regarding the genetic origins of people who resided in Copan. Here, we present seven Classic Copan genomes including an enigmatic dynastic ruler and his sacrificed companion. Our analysis identifies a high genetic affinity of the Classic Copan with present-day Maya. Both groups exhibit an admixture of Mesoamerican and South American Farmer (SAF) ancestry, with a shift in a dominant component from SAF to Mesoamerican. At the individual level, commoners show a more prominent SAF ancestry, while the royal individual demonstrates nearly equal contributions from two ancestors. These results highlight a dual ancestral structure in this geographic extreme of the Classic Maya state, uncovering a cline of Mesoamerican ancestry across individuals.

evolutionary biology↗

bioRxiv2022

Millennium-Old Pathogenic Mendelian Mutation Discovery for MultipleOsteochondromas from a Gaelic Medieval Graveyard.

Only a limited number of genetic diseases are diagnosable in archaeological individuals and none have had causal mutations identified in genome-wide screens. Two individuals from the Gaelic Irish Medieval burial ground of Ballyhanna, Co. Donegal, showed evidence of bone tumors consistent with the autosomal dominant condition multiple osteochondromas. Genome sequencing of the earlier individual uncovered a missense mutation in the second exon of EXT1, a specific lesion that has been identified in several modern patients. The later individual lacked this but displayed a novel frameshift mutation leading to a premature stop codon and loss of function in the same gene. These molecular confirmations of a paleopathological diagnosis within a single rural ancient context are surprisingly disjunct, given the observation of clusters of this disease in modern isolated populations and a de novo mutation rate of only 10%.

genomics↗

bioRxiv2017

Insular Celtic population structure and genomic footprints of migration

Previous studies of the genetic landscape of Ireland have suggested homogeneity, with population substructure undetectable using single-marker methods. Here we have harnessed the haplotype-based method fineSTRUCTURE in an Irish genome-wide SNP dataset, identifying 23 discrete genetic clusters which segregate with geographical provenance. Cluster diversity is pronounced in the west of Ireland but reduced in the east where older structure has been eroded by historical migrations. Accordingly, when populations from the neighbouring island of Britain are included, a west-east cline of Celtic-British ancestry is revealed along with a particularly striking correlation between haplotypes and geography across both islands. A strong relationship is revealed between subsets of Northern Irish and Scottish populations, where discordant genetic and geographic affinities reflect major migrations in recent centuries. Additionally, Irish genetic proximity of all Scottish samples likely reflects older strata of communication across the narrowest inter-island crossing. Using GLOBETROTTER we detected Irish admixture signals from Britain and Europe and estimated dates for events consistent with the historical migrations of the Norse-Vikings, the Anglo-Normans and the British Plantations. The influence of the former is greater than previously estimated from Y chromosome haplotypes. In all, we paint a new picture of the genetic landscape of Ireland, revealing structure which should be considered in the design of studies examining rare genetic variation and its association with traits.\n\nAuthor summaryA recent genetic study of the UK (People of the British Isles; PoBI) expanded our understanding of population history of the islands, using newly-developed, powerful techniques that harness the rich information embedded in chunks of genetic code called haplotypes. These methods revealed subtle regional diversity across the UK, and, using genetic data alone, timed key migration events into southeast England and Orkney. We have extended these methods to Ireland, identifying regional differences in genetics across the island that adhere to geography at a resolution not previously reported. Our study reveals relative western diversity and eastern homogeneity in Ireland owing to a history of settlement concentrated on the east coast and longstanding Celtic diversity in the west. We show that Irish Celtic diversity enriches the findings of PoBI; haplotypes mirror geography across Britain and Ireland, with relic Celtic populations contributing greatly to haplotypic diversity. Finally, we used genetic information to date migrations into Ireland from Europe and Britain consistent with historical records of Viking and Norman invasions, demonstrating the signatures of these migrations the on modern Irish genome. Our findings demonstrate that genetic structure exists in even small isolated populations, which has important implications for population-based genetic association studies.

genetics↗

bioRxiv2017

The Population Genomics Of Archaeological Transition In West Iberia

We analyse new genomic data (0.05-2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200-3500 BC) to the Middle Bronze Age (1740-1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature.\n\nAuthor SummaryRecent ancient DNA work has demonstrated the significant genetic impact of mass migrations from the Steppe into Central and Northern Europe during the transition from the Neolithic to the Bronze Age. In Iberia, archaeological change at the level of material culture and funerary rituals has been reported during this period, however, the genetic impact associated with this cultural transformation has not yet been estimated. In order to investigate this, we sequence Neolithic and Bronze Age samples from Portugal, which we compare to other ancient and present-day individuals. Genome-wide imputation of a large dataset of ancient samples enabled sensitive methods for detecting population structure and selection in ancient samples. We revealed subtle genetic differentiation between the Portuguese Neolithic and Bronze Age samples suggesting a markedly reduced influx in Iberia compared to other European regions. Furthermore, we predict individual height in ancients, suggesting that stature was reduced in the Neolithic and affected by subsequent admixtures. Lastly, we examine signatures of strong selection in important traits and the timing of their origins.

genomics↗