Garrett Hellenthal
Dr. Garrett Hellenthal
Postdoctoral Researcher
+44 (0) 1865 272860 (Department)
+44 (0) 1865 285366 (Direct)
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Research interests
genomewide association analysis
population genetics
linkage disequilibrium
About my research
My main research interests involve applications of statistical methodology to genetics data. Presently my chief project involves the development and application of genomewide association methods and analyses, involving an international collaboration with the University of Oxford (England), deCODE Genetics (Iceland), the University of Aarhus (Denmark), and Radboud University Nijmegen Medical Centre (Netherlands). Other projects include the study of fine-scale meiotic recombination rates and inferring patterns of admixture in modern humans using genetics data.
Biographical Sketch
I am a postdoctoral researcher studying methods development of genomewide association analyses, under the supervision of Professor Jotun Hein (since 2006). I received my undergraduate degree, BS-Mathematics, at Santa Clara University in 2001. I received my PhD in Statistics at the University of Washington (with an emphasis in statistical genetics) under the supervision of Dr. Matthew Stephens in 2006, with my thesis on the development of a new statistical model for estimating rates of gene conversion using Single-Nucleotide-Polymorphism (SNP) data.
Selected publications
- Hellenthal, G and Stephens, M (2007) “msHOT: modifying Hudson's ms simulator to incorporate crossover and gene conversion hotspots.” Bioinformatics 23(4): 520-521.
- Hellenthal, G and Stephens, M (2006) “Insights into recombination from population genetic variation.” Current Opinion in Genetics & Development 16: 565-572.
- Hellenthal, G; Pritchard, J.K.; and Stephens, M (2006) “The Effects of Genotype-Dependent Recombination, and Transmission Asymmetry, on Linkage Disequilibrium.” Genetics 172: 2001-2005.
- Crawford, D.C.; Bhangale, T.; Li, N.; Hellenthal, G; Rieder, M.J.; Nickerson, D.A.; and Stephens, M (2004) “Evidence for substantial fine-scale variation in recombination rates across the human genome.” Nature Genetics 36(7): 700-706.
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