Cited by 2,263Genetic Associations and EpidemiologyGenetic diversity and population structureGenetics, Bioinformatics, and Biomedical Research

Genetic Data Analysis II.

Weir, B. S.·1997·Biometrics

Integrity signals

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Crossref · 10.2307/2533134

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  • The lack of information about haplotype phase weakens the signal of nonrandom association sufficiently that quantifying LD in genotypic data is not often taken.

    “The extent of LD in genotypic data2,9 can be quantified, but the lack of information about the haplotype phase weakens the signal of nonrandom association sufficiently that this approach is not often taken.”
  • There is no agreement about which LD statistic is best or most useful, in part because different statistics are sensitive to different population genetic processes.

    “There is no agreement about which is the best or most useful statistic2,33,34, in part because different statistics are sensitive to different population genetic processes that can cause nonrandom association.”

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Authors
Weir, B. S.
Corresponding author
Weir, B. S.
Venue
Biometrics
Publisher
JSTOR
Published
1997-03
Volume
53
Issue
1
Pages
392
ISSN
0006-341X (ISSN-L)
OpenAlex
W2062026889
Cited by
2,263
References
0
Citations by year
2026: 1 · 2025: 5 · 2024: 14 · 2023: 23 · 2022: 50 · 2021: 34 · 2020: 26 · 2019: 37 · 2018: 26 · 2017: 41 · 2016: 46 · 2015: 57 · 2014: 92 · 2013: 108 · 2012: 113
FWCI
38.74
Type
journal article
Language
en
Open access
closed
Locations
Biometrics (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
Keywords
genetic data analysis, population genetics, linkage analysis

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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.

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