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Uma Nagaswamy

Researcher at Baylor College of Medicine

Publications -  6
Citations -  18000

Uma Nagaswamy is an academic researcher from Baylor College of Medicine. The author has contributed to research in topics: Genome-wide association study & Exome sequencing. The author has an hindex of 5, co-authored 6 publications receiving 12728 citations.

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A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.

A global reference for human genetic variation

Adam Auton, +479 more
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Journal ArticleDOI

Patterns and rates of exonic de novo mutations in autism spectrum disorders

TL;DR: Results from de novo events and a large parallel case–control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors and support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold.
Journal ArticleDOI

Rare Complete Knockouts in Humans: Population Distribution and Significant Role in Autism Spectrum Disorders

TL;DR: Results provide compelling evidence that rare autosomal and X chromosome complete gene knockouts are important inherited risk factors for ASD.
Journal ArticleDOI

Analysis of Rare, Exonic Variation amongst Subjects with Autism Spectrum Disorders and Population Controls

TL;DR: Standard gene-based tests will require much larger samples of cases and controls before being effective for gene discovery, even for a disorder like ASD, according to results from whole-exome sequencing of 1,039 subjects diagnosed with autism spectrum disorders and 870 controls selected from the NIMH repository.