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Brian Hallmark

Researcher at University of Arizona

Publications -  32
Citations -  882

Brian Hallmark is an academic researcher from University of Arizona. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 12, co-authored 25 publications receiving 638 citations.

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Major East–West Division Underlies Y Chromosome Stratification across Indonesia

TL;DR: A four-phase colonization model is put forward in which Paleolithic migrations of hunter-gatherers shape the primary structure of current Indonesian Y chromosome diversity, and Neolithic incursions make only a minor impact on the paternal gene pool, despite the large cultural impact of the Austronesian expansion.
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The Indonesian archipelago: an ancient genetic highway linking Asia and the Pacific

TL;DR: It is shown that Indonesian communities are trending away from the matri- or ambilocality of early Austronesian societies toward the more common practice of patrilocal residence today, and patterns of genetic diversity show that women moved more widely in earlier times.
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Coevolution of languages and genes on the island of Sumba, eastern Indonesia.

TL;DR: A model to explain linguistic and demographic coevolution at fine spatial and temporal scales is proposed and a positive correlation was found between the percentage of Y chromosome lineages that derive from Austronesian (as opposed to aboriginal) ancestors and the retention of PAn cognates.
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Extended Y chromosome haplotypes resolve multiple and unique lineages of the Jewish priesthood.

TL;DR: The hypothesis of a common origin of the CMH in the Near East well before the dispersion of the Jewish people into separate communities is supported and indicates that the majority of contemporary Jewish priests descend from a limited number of paternal lineages.
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Genomics in Personalized Nutrition: Can You "Eat for Your Genes"?

TL;DR: This review discusses direct to consumer genetic testing (DTC-GT) and the current potential for precision nutrition based on an individual’s genetic data and several examples are provided illustrating how genotypic information could be used to inform nutritional recommendations.