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Genevieve L. Wojcik

Publications and source records attributed to Genevieve L. Wojcik.

2 recordsLinked to original sources

The Human Genomic Landscape of Oceania

Oceania and Island Southeast Asia have a rich, yet understudied, human genomic landscape. This region encompasses some of the first areas inhabited by humans following the out-of-Africa expansion, includes populations with the highest levels of archaic hominin introgression, and contains Pacific islands that are among the most remote continuously inhabited locations in the world. Here, we describe the first region-wide analysis of individuals from population groups spanning Oceania and its broad perimeter. In total we generate and analyze genome-wide data from 92 different populations, 58 separate islands, and 30 countries, covering one third of the planet. Leveraging this diverse dataset, we resolve genetic connections among islands, providing a detailed view of regional population structure and identifying the island groups involved in the settlement of several Polynesian Outliers. Ancestry-specific analyses allow us to deconvolve different layers of history, from tracing groups deriving their Austronesian ancestry via the Lapita expansion to quantifying variable archaic introgression across the basal Papuan component of Oceanians and Southeast Asians. Finally, we map biomedically relevant variants across Oceania and Southeast Asia, observing pronounced allele-frequency differences between population groups. Together, these findings refine models of oceanic settlement and admixture and establish a comprehensive reference that will advance global efforts to ensure broad and equitable representation in human genomics.

q-bio.PE↗

Mind the gap: how multiracial individuals get left behind when we talk about race, ethnicity, and ancestry in genomic research

It is widely acknowledged that there is a diversity problem in genomics stemming from the vast underrepresentation of non-European genetic ancestry populations. While many challenges exist to address this gap, a major complicating factor is the misalignment between (1) how society defines and labels individuals; (2) how populations are defined for research; and (3) how research findings are translated to benefit human health. Recent conversations to address the lack of clarity in terminology in genomics have largely focused on ontologies that acknowledge the difference between genetic ancestry and race. Yet, these ontological frameworks for ancestry often follow the subjective discretization of people, normalized by historical racial categories; this perpetuates exclusion at the expense of inclusion. In order to make the benefits of genomics research accessible to all, standards around race, ethnicity, and genetic ancestry must deliberately and explicitly address multiracial, genetically admixed individuals who make salient the limitations of discrete categorization in genomics and society. Starting with the need to clarify terminology, we outline current practices in genomic research and translation that fail those who are 'binned' for failing to fit into a specific bin. We conclude by offering concrete solutions for future research in order to share the benefits of genomics research with the full human population.

q-bio.OT↗