Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Daly, J. Rioux, S. Schaffner, T. Hudson, E. Lander (2001)
High-resolution haplotype structure in the human genomeNature Genetics, 29
G. Abecasis, S. Cherny, W. Cookson, L. Cardon (2002)
Merlin—rapid analysis of dense genetic maps using sparse gene flow treesNature Genetics, 30
A. Jeffreys, L. Kauppi, R. Neumann (2001)
Intensely punctate meiotic recombination in the class II region of the major histocompatibility complexNature Genetics, 29
Kui Zhang, P. Calabrese, M. Nordborg, Fengzhu Sun (2002)
Haplotype block structure and its applications to association studies: power and study designs.American journal of human genetics, 71 6
X. Ke, S. Hunt, W. Tapper, R. Lawrence, G. Stavrides, J. Ghori, P. Whittaker, A. Collins, A. Morris, D. Bentley, L. Cardon, P. Deloukas (2004)
The impact of SNP density on fine-scale patterns of linkage disequilibrium.Human molecular genetics, 13 6
M. Phillips, R. Lawrence, Ravi Sachidanandam, Andrew Morris, D. Balding, M. Donaldson, J. Studebaker, W. Ankener, S. Alfisi, Fengshen Kuo, A. Camisa, V. Pazorov, K. Scott, B. Carey, J. Faith, G. Katari, H. Bhatti, J. Cyr, V. Derohannessian, Carolina Elosua, A. Forman, N. Grecco, C. Hock, J. Kuebler, J. Lathrop, M. Mockler, E. Nachtman, S. Restine, S. Varde, M. Hozza, C. Gelfand, J. Broxholme, G. Abecasis, M. Boyce-Jacino, L. Cardon (2003)
Chromosome-wide distribution of haplotype blocks and the role of recombination hot spotsNature Genetics, 33
Kui Zhang, Minghua Deng, Ting Chen, M. Waterman, Fengzhu Sun (2002)
A dynamic programming algorithm for haplotype block partitioningProceedings of the National Academy of Sciences of the United States of America, 99
P. Sebastiani, R. Lazarus, S. Weiss, L. Kunkel, I. Kohane, M. Ramoni (2003)
Minimal haplotype taggingProceedings of the National Academy of Sciences of the United States of America, 100
N. Patil, A. Berno, D. Hinds, Wade Barrett, J. Doshi, C. Hacker, C. Kautzer, Danny Lee, C. Marjoribanks, David McDonough, Bich Nguyen, Michael Norris, J. Sheehan, Naiping Shen, D. Stern, R. Stokowski, D. Thomas, M. Trulson, Kanan Vyas, K. Frazer, S. Fodor, David Cox (2001)
Blocks of Limited Haplotype Diversity Revealed by High-Resolution Scanning of Human Chromosome 21Science, 294
M. Weale, C. Depondt, S. Macdonald, Alice Smith, P. Lai, S. Shorvon, N. Wood, D. Goldstein (2003)
Selection and evaluation of tagging SNPs in the neuronal-sodium-channel gene SCN1A: implications for linkage-disequilibrium gene mapping.American journal of human genetics, 73 3
Juliet Chapman, J. Cooper, J. Todd, D. Clayton (2003)
Detecting Disease Associations due to Linkage Disequilibrium Using Haplotype Tags: A Class of Tests and the Determinants of Statistical PowerHuman Heredity, 56
D. Stram, C. Haiman, J. Hirschhorn, D. Altshuler, L. Kolonel, B. Henderson, M. Pike (2003)
Choosing Haplotype-Tagging SNPS Based on Unphased Genotype Data Using a Preliminary Sample of Unrelated Subjects with an Example from the Multiethnic Cohort StudyHuman Heredity, 55
S. Gabriel, S. Schaffner, Huy Nguyen, Jamie Moore, J. Roy, B. Blumenstiel, J. Higgins, M. Defelice, Amy Lochner, M. Faggart, S. Liu-Cordero, C. Rotimi, A. Adeyemo, R. Cooper, R. Ward, E. Lander, M. Daly, D. Altshuler (2002)
The Structure of Haplotype Blocks in the Human GenomeScience, 296
D. Goldstein, K. Ahmadi, M. Weale, N. Wood (2003)
Genome scans and candidate gene approaches in the study of common diseases and variable drug responses.Trends in genetics : TIG, 19 11
X. Ke, L. Cardon (2003)
Efficient selective screening of haplotype tag SNPsBioinformatics, 19 2
G. Johnson, L. Esposito, B. Barratt, Annabel Smith, J. Heward, G. Genova, H. Ueda, H. Cordell, I. Eaves, F. Dudbridge, R. Twells, F. Payne, Wil Hughes, S. Nutland, H. Stevens, Phill Carr, E. Tuomilehto-Wolf, J. Tuomilehto, S. Gough, D. Clayton, J. Todd (2001)
Haplotype tagging for the identification of common disease genesNature Genetics, 29
(2005)
Unbiased estimates of haplotype tagging SNP performance through cross-validation
We investigate here the efficacy of selecting haplotype tagging SNPs at different marker densities (2kb‐10kb). Our results are based on publicly available data on 5324 markers with a median spacing of 1kb from chromosome 20. We find that whatever density of SNPs is used, htSNP analysis indicates in most cases that at least 80% of the variation can be captured using a subset of SNPs. However, as marker density decreases these htSNPs become increasingly unreliable. In this dataset htSNPs were selected to capture at least 80% of the variation at every observed SNP. At an observed SNP density of 2kb, htSNP analysis suggests that the htSNPs capture on average 95% of the observed variation, when in fact they capture 88% of the unobserved variation. At a density of 10kb, htSNP analysis suggests that 93% of the observed variation was captured, when in fact they capture on average only 78%. Our results indicate that htSNP analysis is only reliable when markers are dense – a spacing of even 2kb shows a considerable loss of information. Such findings are important both for individual studies utilising htSNPs to reduce costs, and for projects such as HapMap which try to characterise human genomic variation using htSNPs.
Annals of Human Genetics – Wiley
Published: Mar 1, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.