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Evaluation of coverage variation of SNP chips for genome-wide association studies

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TLDR
Detailed evaluation of SNP chip coverage is conducted, including a map of local coverage – calculated over small consecutive genomic regions and gene Coverage – calculated for each known gene in the genome to reveal the degree of variation of each SNP chip in covering the genome.
Abstract
Genome-wide association (GWA) studies for complex human diseases are now feasible. Many GWA studies rely on commercial SNP chips, for which a common evaluation criterion is global coverage of the genome. Although providing an overall evaluation of an SNP chip, the global coverage does not tell us how the coverage varies across the genome, an important feature that should be taken into consideration, as coverage variation often results in power variation and potentially biased search in subsequent association analysis. To achieve a fuller understanding of SNP chip coverage, we conducted detailed evaluation of coverage, including (1) a map of local coverage - calculated over small consecutive genomic regions and (2) gene coverage - calculated for each known gene in the genome. These evaluations can reveal the degree of variation of each SNP chip in covering the genome and can facilitate SNP chip comparisons at a finer scale.

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Chapter 11: Genome-wide association studies.

TL;DR: This work reviews the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis.
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Rare Variants Create Synthetic Genome-Wide Associations

TL;DR: A simulation study shows that rare variants with much greater impacts on disease risk may be responsible for some of the associations with very modest increases of risk for various common diseases.
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The Role of Genetics in the Etiology of Schizophrenia

TL;DR: The aggregate data provide support for polygenic inheritance and for genetic overlap of schizophrenia with autism and with bipolar disorder.
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Twin studies in autoimmune disease: genetics, gender and environment.

TL;DR: Future research is encouraged not only in the analysis of twins with autoimmune disease, but also in regards to epigenetic factors or rare variants that may be discovered with next-generation sequencing.
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Genotyping Technologies for Genetic Research

TL;DR: High-throughput genotyping platforms as well as other approaches for lower numbers of assays but high sample throughput, which play an important role in genotype validation and study replication are reviewed.
References
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Journal ArticleDOI

A haplotype map of the human genome

John W. Belmont, +232 more
TL;DR: A public database of common variation in the human genome: more than one million single nucleotide polymorphisms for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted.
Journal ArticleDOI

Complement Factor H Polymorphism in Age-Related Macular Degeneration

TL;DR: A genome-wide screen for polymorphisms associated with age-related macular degeneration revealed a polymorphism in linkage disequilibrium with the risk allele representing a tyrosine-histidine change at amino acid 402 in the complement factor H gene.
Journal ArticleDOI

Finishing the euchromatic sequence of the human genome

Chris P. Ponting, +1 more
- 21 Oct 2004 - 
TL;DR: The current human genome sequence (Build 35) as discussed by the authors contains 2.85 billion nucleotides interrupted by only 341 gaps and is accurate to an error rate of approximately 1 event per 100,000 bases.
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