Association and linkage analysis of ICD-10 diagnosis for alcoholism
- Hemant K. Tiwari(corresponding author),
- Xiaofeng Zhu,
- Robert C. Elston,
- Youyi Shu,
- Varghese George
- Case Western Reserve University,
- Medical College of Wisconsin
Scholary Output:
Contribution to journal
Article
Peer-reviewOpen access
Sustainable Development Goals
- SDG 3 Good Health and Well
Abstract
We analyzed the GAW11 data on alcoholism provided by the Collaborative Study on the Genetics of Alcoholism (COGA) using an extension of a new test of linkage and association for quantitative traits developed by George et al. [1999]. This method determines linkage between marker loci and quantitative traits, when allelic association is present between the trait and marker loci, by regressing the disease trait on the parental transmission of the allele of interest. We found no strong evidence of linkage to any markers. However, we found several markers suggestive of possible linkage that may deserve further investigation.
Publication Information
Output type
Scholary Output:
Contribution to journal
Article
Peer-reviewOriginal language
English (US)Pages from-to (Number of pages)
Pages S343-S347Journal (Volume, Issue Number)
Genetic Epidemiology (Volume 17, Issue SUPPL. 1)Publication milestones
- Published - 1999
Publication status
Published - 1999
ISSN
0741-0395Publication IDs
- Scopus: 0032758367
- PubMed: 10597460
Publication metrics
Metrics
SciVal
citations
4
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1
SciVal
FWCI
0.25
SciVal
Author count
5
SciVal
Paper percentile
43
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Citation count
3
Funding Details
FunderFunding number
NIGMS
R37GM028356
