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Genetic Epidemiology

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Attention for Chapter: Assessing Rare Variation in Complex Traits
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Chapter title
Assessing Rare Variation in Complex Traits
Book title
Genetic Epidemiology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7868-7_5
Pubmed ID
Book ISBNs
978-1-4939-7867-0, 978-1-4939-7868-7
Authors

Karoline Kuchenbaecker, Emil Vincent Rosenbaum Appel

Abstract

While genome-wide association studies have been very successful in identifying associations of common genetic variants with many different traits, the rarer frequency spectrum of the genome has not yet been comprehensively explored. Technological developments increasingly lift restrictions to access rare genetic variation. Dense reference panels enable improved genotype imputation for rarer variants in studies using DNA microarrays. Moreover, the decreasing cost of next generation sequencing makes whole exome and genome sequencing increasingly affordable for large samples. Large-scale efforts based on sequencing, such as ExAC, 100,000 Genomes, and TopMed, are likely to significantly advance this field.The main challenge in evaluating complex trait associations of rare variants is statistical power. The choice of population should be considered carefully because allele frequencies and linkage disequilibrium structure differ between populations. Genetically isolated populations can have favorable genomic characteristics for the study of rare variants.One strategy to increase power is to assess the combined effect of multiple rare variants within a region, known as aggregate testing. A  range of methods have been developed for this. Model performance depends on the genetic architecture of the region of interest.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Master 9 20%
Student > Ph. D. Student 8 17%
Student > Bachelor 3 7%
Student > Doctoral Student 2 4%
Other 3 7%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 30%
Biochemistry, Genetics and Molecular Biology 11 24%
Medicine and Dentistry 3 7%
Computer Science 2 4%
Economics, Econometrics and Finance 1 2%
Other 3 7%
Unknown 12 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2018.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Methods in molecular biology
#5,410
of 13,206 outputs
Outputs of similar age
#270,129
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.