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Amit Indap

Researcher at Cornell University

Publications -  22
Citations -  8535

Amit Indap is an academic researcher from Cornell University. The author has contributed to research in topics: Population & Allele frequency. The author has an hindex of 19, co-authored 22 publications receiving 7792 citations. Previous affiliations of Amit Indap include Medical College of Wisconsin & Boston College.

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Journal ArticleDOI

Genes mirror geography within Europe.

TL;DR: Despite low average levels of genetic differentiation among Europeans, there is a close correspondence between genetic and geographic distances; indeed, a geographical map of Europe arises naturally as an efficient two-dimensional summary of genetic variation in Europeans.
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Evolutionary and biomedical insights from the rhesus macaque genome

Richard A. Gibbs, +177 more
- 13 Apr 2007 - 
TL;DR: The genome sequence of an Indian-origin Macaca mulatta female is determined and compared with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families.
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Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills, +374 more
- 03 Feb 2011 - 
TL;DR: A map of unbalanced SVs is constructed based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations, and serves as a resource for sequencing-based association studies.
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Assessing the Evolutionary Impact of Amino Acid Mutations in the Human Genome

TL;DR: The analysis predicts that many of the alleles identified via whole-genome association mapping may be selectively neutral or (formerly) positively selected, implying that deleterious genetic variation affecting disease phenotype may be missed by this widely used approach for mapping genes underlying complex traits.
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Demographic history and rare allele sharing among human populations

TL;DR: It is found that the majority of human genomic variable sites are rare and exhibit little sharing among diverged populations, emphasizing that replication of disease association for specific rare genetic variants across diverging populations must overcome both reduced statistical power because of rarity and higher population divergence.