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Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence

Overview of attention for article published in Human Genetics, November 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog

Citations

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7 Dimensions

Readers on

mendeley
28 Mendeley
connotea
1 Connotea
Title
Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence
Published in
Human Genetics, November 2010
DOI 10.1007/s00439-010-0911-7
Pubmed ID
Authors

Robert C. Culverhouse, Nancy L. Saccone, Jerry A. Stitzel, Jen C. Wang, Joseph H. Steinbach, Alison M. Goate, Tae-Hwi Schwantes-An, Richard A. Grucza, Victoria L. Stevens, Laura J. Bierut

Abstract

Results from genome-wide association studies of complex traits account for only a modest proportion of the trait variance predicted to be due to genetics. We hypothesize that joint analysis of polymorphisms may account for more variance. We evaluated this hypothesis on a case-control smoking phenotype by examining pairs of nicotinic receptor single-nucleotide polymorphisms (SNPs) using the Restricted Partition Method (RPM) on data from the Collaborative Genetic Study of Nicotine Dependence (COGEND). We found evidence of joint effects that increase explained variance. Four signals identified in COGEND were testable in independent American Cancer Society (ACS) data, and three of the four signals replicated. Our results highlight two important lessons: joint effects that increase the explained variance are not limited to loci displaying substantial main effects, and joint effects need not display a significant interaction term in a logistic regression model. These results suggest that the joint analyses of variants may indeed account for part of the genetic variance left unexplained by single SNP analyses. Methodologies that limit analyses of joint effects to variants that demonstrate association in single SNP analyses, or require a significant interaction term, will likely miss important joint effects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 18%
Student > Ph. D. Student 5 18%
Student > Master 4 14%
Student > Bachelor 3 11%
Researcher 3 11%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 25%
Neuroscience 5 18%
Medicine and Dentistry 5 18%
Psychology 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Other 1 4%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 November 2010.
All research outputs
#5,650,503
of 22,707,247 outputs
Outputs from Human Genetics
#724
of 2,950 outputs
Outputs of similar age
#24,911
of 87,707 outputs
Outputs of similar age from Human Genetics
#3
of 10 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 75% of its peers.
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 87,707 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.