Reply to Farrall. LOD wars: The affected-sib-pair paradigm strikes back!

Journal Article · Sat Mar 01 04:00:00 EST 1997 · American Journal of Human Genetics

OSTI ID:518561

Greenberg, D A ^[1]; Hodge, S E ^[2]; Vieland, V J ^[3]; Spence, M A ^[4]

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1. Mount Sinai Medical Center, New York, NY (United States)
2. Columbia Univ., New York, NY (United States)
3. Univ. of Iowa College of Medicine, Iowa City, IA (United States)
4. Univ. of California, Irvine, CA (United States)

Farrall, in his comments about our previous letter, eloquently points out some of the advantages of affected-sib-pair (ASP) analysis. It may surprise him to learn that we do not disagree with most of his comments, but we do feel that a few of them could be potentially misleading. Farrall says that {open_quotes}ASP tests are nonparametric{close_quote} in the limited sense that the investigator does not have to declare (or have prior knowledge of) an explicit set of genetic parameters before undertaking a meaningful analysis. He could have added that one does not have the option of changing genetic parameters. One does not have to declare genetic parameters, because the design of the test is such that certain assumptions are inherent in the method. These assumptions are not obvious - and even may not be known - in the nonparametric methods. However, they are still there. 4 refs.

• OSTI ID: 518561
• Journal Information: American Journal of Human Genetics, Journal Name: American Journal of Human Genetics Journal Issue: 3 Vol. 60; ISSN AJHGAG; ISSN 0002-9297
• Country of Publication: United States
• Language: English

Related Subjects

55 BIOLOGY AND MEDICINE
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99 GENERAL AND MISCELLANEOUS
DISEASE INCIDENCE
GENE RECOMBINATION
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GENETIC MAPPING
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MATHEMATICAL MODELS
PARAMETRIC ANALYSIS
RISK ASSESSMENT
STATISTICAL MODELS
STATISTICS