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Association and linkage analysis of ICD-10 diagnosis for alcoholism

  • Hemant K. Tiwari(corresponding author)
    ,
  • Xiaofeng Zhu
    ,
  • Robert C. Elston
    ,
  • Youyi Shu
    ,
  • Varghese George
*Corresponding author for this work
  • Case Western Reserve University
    ,
  • Medical College of Wisconsin
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    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-review

Original language

English (US)

Pages from-to (Number of pages)

Pages S343-S347

Journal (Volume, Issue Number)

Genetic Epidemiology (Volume 17, Issue SUPPL. 1)

Publication milestones

  • Published - 1999

Publication status

Published - 1999

ISSN

0741-0395

Publication IDs

  • Scopus: 0032758367
  • PubMed: 10597460

Publication metrics

Metrics

Scopus
citations
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

Funding Details

FunderFunding number
NIGMS
R37GM028356