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Cited by 257

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Comparison of Mixed-Model Approaches for Association Mapping

Open access
Stich, Benjamin, Möhring, Jens, Piepho, Hans-Peter, Heckenberger, Martin, Buckler, Edward S, Melchinger, Albrecht E·2008·Genetics

Abstract

Association-mapping methods promise to overcome the limitations of linkage-mapping methods. The main objectives of this study were to (i) evaluate various methods for association mapping in the autogamous species wheat using an empirical data set, (ii) determine a marker-based kinship matrix using a restricted maximum-likelihood (REML) estimate of the probability of two alleles at the same locus being identical in state but not identical by descent, and (iii) compare the results of association-mapping approaches based on adjusted entry means (two-step approaches) with the results of approaches in which the phenotypic data analysis and the association analysis were performed in one step (one-step approaches). On the basis of the phenotypic and genotypic data of 303 soft winter wheat (Triticum aestivum L.) inbreds, various association-mapping methods were evaluated. Spearman's rank correlation between P-values calculated on the basis of one- and two-stage association-mapping methods ranged from 0.63 to 0.93. The mixed-model association-mapping approaches using a kinship matrix estimated by REML are more appropriate for association mapping than the recently proposed QK method with respect to (i) the adherence to the nominal α-level and (ii) the adjusted power for detection of quantitative trait loci. Furthermore, we showed that our data set could be analyzed by using two-step approaches of the proposed association-mapping method without substantially increasing the empirical type I error rate in comparison to the corresponding one-step approaches.

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Metadata

Authors
Stich, B., Möhring, J., Piepho, H.-P., Heckenberger, M., Buckler, E. S., & Melchinger, A. E.
Venue
Genetics
Published
2008-03-01
Volume
178
Issue
3
Pages
1745-1754
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W2150448009
Cited by
257
References
30
FWCI
11.60
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Comparison of Mixed-Model Approaches for Association Mapping. https://app.cochat.ai/papers/10.1534/genetics.107.079707
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Stich, B., Möhring, J., Piepho, H.-P., Heckenberger, M., Buckler, E. S., & Melchinger, A. E. (2008). Comparison of Mixed-Model Approaches for Association Mapping. Genetics. https://doi.org/10.1534/genetics.107.079707

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