Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods

Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes p...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Humphreys, Keith [verfasserIn] Iles, Mark M

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2005

Schlagwörter:	Linkage Disequilibrium Linkage Disequilibrium Mapping Putative Locus Linkage Disequilibrium Structure Similar Haplotype

Anmerkung:	© Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC genetics - London : BioMed Central, 2000, 6(2005), Suppl 1 vom: 30. Dez.
Übergeordnetes Werk:	volume:6 ; year:2005 ; number:Suppl 1 ; day:30 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1471-2156-6-S1-S74

Katalog-ID:	SPR027001121

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allfields	10.1186/1471-2156-6-S1-S74 doi (DE-627)SPR027001121 (SPR)1471-2156-6-S1-S74-e DE-627 ger DE-627 rakwb eng Humphreys, Keith verfasserin aut Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213 Iles, Mark M aut Enthalten in BMC genetics London : BioMed Central, 2000 6(2005), Suppl 1 vom: 30. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:6 year:2005 number:Suppl 1 day:30 month:12 https://dx.doi.org/10.1186/1471-2156-6-S1-S74 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2005 Suppl 1 30 12
spelling	10.1186/1471-2156-6-S1-S74 doi (DE-627)SPR027001121 (SPR)1471-2156-6-S1-S74-e DE-627 ger DE-627 rakwb eng Humphreys, Keith verfasserin aut Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213 Iles, Mark M aut Enthalten in BMC genetics London : BioMed Central, 2000 6(2005), Suppl 1 vom: 30. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:6 year:2005 number:Suppl 1 day:30 month:12 https://dx.doi.org/10.1186/1471-2156-6-S1-S74 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2005 Suppl 1 30 12
allfields_unstemmed	10.1186/1471-2156-6-S1-S74 doi (DE-627)SPR027001121 (SPR)1471-2156-6-S1-S74-e DE-627 ger DE-627 rakwb eng Humphreys, Keith verfasserin aut Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213 Iles, Mark M aut Enthalten in BMC genetics London : BioMed Central, 2000 6(2005), Suppl 1 vom: 30. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:6 year:2005 number:Suppl 1 day:30 month:12 https://dx.doi.org/10.1186/1471-2156-6-S1-S74 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2005 Suppl 1 30 12
allfieldsGer	10.1186/1471-2156-6-S1-S74 doi (DE-627)SPR027001121 (SPR)1471-2156-6-S1-S74-e DE-627 ger DE-627 rakwb eng Humphreys, Keith verfasserin aut Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213 Iles, Mark M aut Enthalten in BMC genetics London : BioMed Central, 2000 6(2005), Suppl 1 vom: 30. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:6 year:2005 number:Suppl 1 day:30 month:12 https://dx.doi.org/10.1186/1471-2156-6-S1-S74 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2005 Suppl 1 30 12
allfieldsSound	10.1186/1471-2156-6-S1-S74 doi (DE-627)SPR027001121 (SPR)1471-2156-6-S1-S74-e DE-627 ger DE-627 rakwb eng Humphreys, Keith verfasserin aut Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213 Iles, Mark M aut Enthalten in BMC genetics London : BioMed Central, 2000 6(2005), Suppl 1 vom: 30. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:6 year:2005 number:Suppl 1 day:30 month:12 https://dx.doi.org/10.1186/1471-2156-6-S1-S74 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2005 Suppl 1 30 12
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author	Humphreys, Keith
spellingShingle	Humphreys, Keith misc Linkage Disequilibrium misc Linkage Disequilibrium Mapping misc Putative Locus misc Linkage Disequilibrium Structure misc Similar Haplotype Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
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topic_title	Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods Linkage Disequilibrium (dpeaa)DE-He213 Linkage Disequilibrium Mapping (dpeaa)DE-He213 Putative Locus (dpeaa)DE-He213 Linkage Disequilibrium Structure (dpeaa)DE-He213 Similar Haplotype (dpeaa)DE-He213
topic	misc Linkage Disequilibrium misc Linkage Disequilibrium Mapping misc Putative Locus misc Linkage Disequilibrium Structure misc Similar Haplotype
topic_unstemmed	misc Linkage Disequilibrium misc Linkage Disequilibrium Mapping misc Putative Locus misc Linkage Disequilibrium Structure misc Similar Haplotype
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title	Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
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title_full	Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
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title_sort	fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
title_auth	Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
abstract	Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Abstract Both haplotype-based and locus-based methods have been proposed as the most powerful methods to employ when fine mapping by association. Although haplotype-based methods utilize more information, they may lose power as a result of overparameterization, given the large number of haplotypes possible over even a few loci. Recently methods have been developed that cluster haplotypes with similar structure in the hope that this reflects shared genealogical ancestry. The aim is to reduce the number of parameters while retaining the genotype information relating to disease susceptibility. We have compared several haplotype-based methods with locus-based methods. We utilized 2 regions (D2 and D4) simulated to be in linkage disequilibrium and to be associated with disease susceptibility, combining 5 replicates at a time to produce 4 datasets that were analyzed. We found little difference in the performance of the haplotype-based methods and the locus-based methods in this dataset. © Humphreys and Iles; licensee BioMed Central Ltd 2005. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
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title_short	Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods
url	https://dx.doi.org/10.1186/1471-2156-6-S1-S74
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Fine-scale mapping in case-control samples using locus scoring and haplotype-sharing methods

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