Cited by 29Genetic Mapping and Diversity in Plants and AnimalsGenetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

The DOI matches its Crossref record; 68 of the 69 references it cites were found in a registry or an index.

21 Genome partitioning and whole-genome analysis

Schorki, Nicholas J.·2001·Advances in Genetics

Abstract

Standard DNA marker-based approaches to mapping genes that influence complex traits typically consider a limited number of hypotheses. Most of these hypotheses concentrate on the effect of a single individual locus (or relatively few loci) on the trait of interest. Although of tremendous importance scientifically, such hypotheses do not accommodate the full range of genetic phenomena that may contribute to phenotypic expression. We present novel approaches to complex trait analysis that make as complete use of marker information as is possible. The proposed methodologies can be used to entertain a wide variety of hypotheses, including those that engage, for example, the contribution of a particular chromosome, genome-wide heterozygosity, and multiple genomic regions, to phenotypic expression. We consider a number of possible extensions of the proposed methods as well as their limitations. Although we discuss many methodological details in the context of quantitative trait locus mapping involving sampling units such as human pedigrees and hybrids resulting from crosses between inbred strains of model organisms, our procedures can be easily adapted to standard sibpair and other sampling unit-based designs. Ultimately, the proposed approaches not only have the potential to increase power to identify individual loci that harbor trait-influencing genes, but also present a framework for testing a number of hypotheses about the nature of the genetic determinants of phenotypes in general.

Overview

Integrity signals

Registry

Crossref · 10.1016/s0065-2660(01)42030-x

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 69 references

Research works printed but not linked: 2

  1. Knowler, 1988, Gm and type II diabetes mellitus: An association in American Indians with genetic admixture, Am. J. Hum. Genet., 43, 755
  2. Schork, 1997, Linkage analysis, kinship, and the short-term evolution of chromosomes, J. Exp. Zool., 34, 101

Cited by

Sorted by citations

Metadata

Authors
Schorki, N. J.
Affiliations
Harvard University (US)
Corresponding author
Schorki, Nicholas J.
Venue
Advances in Genetics
Publisher
Elsevier
Published
2001
Volume
42
Pages
299-322
ISSN
0065-2660 (ISSN-L)
OpenAlex
W2169856008
Cited by
29
References
69
Citations by year
2022: 1 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 2 · 2012: 3
FWCI
1.21
Type
book chapter
Language
en
Open access
closed
Locations
  • Advances in genetics (publishedVersion)
  • PubMed (publishedVersion)
  • The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
Funders
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (HL94-011, HL54998-01, P50HL054998)
  • National Center for Research Resources (P41RR003655, RR03655-11)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Keywords
genome partitioning, whole-genome analysis, complex trait mapping, quantitative trait loci, heterozygosity, human pedigrees
MeSH terms
Alleles, Animals, Crosses, Genetic, Genetic Markers, Genetic Testing, Genetics, Population, Humans, Phenotype, Models, Statistical, Genome, Human, Animals, Inbred Strains, Quantitative Trait, Heritable

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review