{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T16:49:41Z","timestamp":1791218981783,"version":"4.1.0"},"reference-count":41,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2015,5,1]],"date-time":"2015-05-01T00:00:00Z","timestamp":1430438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The dengue and yellow fever mosquito, Aedes aegypti, contributes significantly to global disease burden. Genetic study of Aedes aegypti is essential to understanding its evolutionary history, competence as a disease vector, and the effects and efficacy of vector control methods. The prevalence of repeats and transposable elements in the Aedes aegypti genome complicates marker development and makes genome-wide genetic study challenging. To overcome these challenges, we developed a high-throughput genotyping chip, Axiom_aegypti1. This chip screens for 50,000 single-nucleotide polymorphisms present in Aedes aegypti populations from around the world. The array currently used genotypes 96 samples simultaneously. To ensure that these markers satisfy assumptions commonly made in many genetic analyses, we tested for Mendelian inheritance and linkage disequilibrium in laboratory crosses and a wild population, respectively. We have validated more than 25,000 of these markers to date, and expect this number to increase with more sampling. We also present evidence of the chip\u2019s efficacy in distinguishing populations throughout the world. The markers on this chip are ideal for applications ranging from population genetics to genome-wide association studies. This tool makes rapid, cost-effective, and comparable genotype data attainable to diverse sets of Aedes aegypti researchers, from those interested in potential range shifts due to climate change to those characterizing the genetic underpinnings of its competence to transmit disease.<\/jats:p>","DOI":"10.1534\/g3.114.016196","type":"journal-article","created":{"date-parts":[[2015,3,4]],"date-time":"2015-03-04T17:29:08Z","timestamp":1425490148000},"page":"711-718","source":"Crossref","is-referenced-by-count":69,"title":["A Multipurpose, High-Throughput Single-Nucleotide Polymorphism Chip for the Dengue and Yellow Fever Mosquito,\n                    <i>Aedes aegypti<\/i>"],"prefix":"10.1093","volume":"5","author":[{"given":"Benjamin R","family":"Evans","sequence":"first","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511"},{"name":"Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Gloria-Soria","sequence":"additional","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut 06520"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carolyn","family":"McBride","sequence":"additional","affiliation":[{"name":"Princeton Neuroscience Institute and Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 08540"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariangela","family":"Bonizzoni","sequence":"additional","affiliation":[{"name":"Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, California 92697"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut 06520"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey R","family":"Powell","sequence":"additional","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06511"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2015,5,1]]},"reference":[{"key":"2021042013563961700_bib1","doi-asserted-by":"crossref","first-page":"3179","DOI":"10.1111\/mec.12276","article-title":"RADseq underestimates diversity and introduces genealogical biases due to nonrandom haplotype sampling.","volume":"22","author":"Arnold","year":"2013","journal-title":"Mol. 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