Gaurav Bhatia

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. pmc Estimating and interpreting FST: the impact of rare variants
    Gaurav Bhatia
    Harvard Massachusetts Institute of Technology MIT, Division of Health, Science, and Technology, Cambridge, Massachusetts 02139, USA
    Genome Res 23:1514-21. 2013
  2. pmc A covering method for detecting genetic associations between rare variants and common phenotypes
    Gaurav Bhatia
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
    PLoS Comput Biol 6:e1000954. 2010
  3. pmc Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection
    Gaurav Bhatia
    Harvard Massachusetts Institute of Technology MIT Division of Health, Science and Technology, Cambridge, USA
    Am J Hum Genet 89:368-81. 2011
  4. pmc Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level
    Olivier Harismendy
    Moores UCSD Cancer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
    Genome Biol 11:R118. 2010

Detail Information

Publications4

  1. pmc Estimating and interpreting FST: the impact of rare variants
    Gaurav Bhatia
    Harvard Massachusetts Institute of Technology MIT, Division of Health, Science, and Technology, Cambridge, Massachusetts 02139, USA
    Genome Res 23:1514-21. 2013
    ..Changes in each of these aspects of estimation may result in FST estimates that are highly divergent from one another. Here, we clarify these issues and propose solutions. ..
  2. pmc A covering method for detecting genetic associations between rare variants and common phenotypes
    Gaurav Bhatia
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
    PLoS Comput Biol 6:e1000954. 2010
    ..The data suggests that the RVs help disrupt the expression of the two genes, leading to lowered metabolism of the corresponding cannabinoids. Overall, our results point to the power of including RVs in measuring genetic associations...
  3. pmc Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection
    Gaurav Bhatia
    Harvard Massachusetts Institute of Technology MIT Division of Health, Science and Technology, Cambridge, USA
    Am J Hum Genet 89:368-81. 2011
    ..The most significantly differentiated marker in our analysis, rs2920283, is highly differentiated in both Africa and East Asia and has prior genome-wide significant associations to bladder and gastric cancers...
  4. pmc Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level
    Olivier Harismendy
    Moores UCSD Cancer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
    Genome Biol 11:R118. 2010
    ....