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Joanna L. Mountain

Researcher at Stanford University

Publications -  99
Citations -  16086

Joanna L. Mountain is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 48, co-authored 91 publications receiving 13924 citations.

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Detecting immigration by using multilocus genotypes

TL;DR: The test has power to detect immigrant ancestors, for these data, up to two generations in the past even though the overall differentiation of allele frequencies among populations is low.
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Diet and the evolution of human amylase gene copy number variation.

TL;DR: It is found that copy number of the salivary amylase gene (AMY1) is correlated positively with salivaries protein level and that individuals from populations with high-starch diets have, on average, more AMY1 copies than those with traditionally low-st starch diets.
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Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Mike A. Nalls, +248 more
- 01 Dec 2019 - 
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
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Ancient human genomes suggest three ancestral populations for present-day Europeans

Iosif Lazaridis, +136 more
- 18 Sep 2014 - 
TL;DR: It is shown that most present-day Europeans derive from at least three highly differentiated populations: west European hunter-gatherers, who contributed ancestry to all Europeans but not to Near Easterners; ancient north Eurasians related to Upper Palaeolithic Siberians; and early European farmers, who were mainly of Near Eastern origin but also harboured west Europeanhunter-gatherer related ancestry.
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The importance of race and ethnic background in biomedical research and clinical practice.

TL;DR: With the completion of a rough draft of the human genome, some have suggested that racial classification may not be useful for biomedical studies, since it reflects “a fairly small number of genes that describe appearance” and “there is no basis in the genetic code for race.