PLoS genetics

We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) gene...

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Hauptverfasser: Stacey Simon N, Sulem Patrick, Zanon Carlo, Gudjonsson Sigurjon A, Thorleifsson Gudmar, Helgason Agnar, Jonasdottir Aslaug, Besenbacher Soren, Kostic Jelena P, Fackenthal James D, Huo Dezheng, Adebamowo Clement, Ogundiran Temidayo, Olson Janet E, Fredericksen Zachary S, Wang Xianshu, Look Maxime P, Sieuwerts Anieta M, Martens John W M, Pajares Isabel, Garcia-Prats Maria D, Ramon-Cajal Jose M, de Juan Ana, Panadero Angeles, Ortega Eugenia, Aben Katja K H, Vermeulen Sita H, Asadzadeh Fatemeh, van Engelenburg K C Anton, Margolin Sara, Shen Chen-Yang, Wu Pei-Ei, Försti Asta, Lenner Per , Umeå universitet, Onkologi, Henriksson Roger , Umeå universitet, Onkologi, Johansson Robert , Umeå universitet, Onkologi, Enquist Kerstin , Umeå universitet, Näringsforskning, Hallmans Göran , Umeå universitet, Näringsforskning, Jonsson Thorvaldur, Sigurdsson Helgi, Alexiusdottir Kristin, Gudmundsson Julius, Sigurdsson Asgeir, Frigge Michael L, Gudmundsson Larus, Kristjansson Kristleifur, Halldorsson Bjarni V, Styrkarsdottir Unnur, Gulcher Jeffrey R, Hemminki Kari, Lindblom Annika, Kiemeney Lambertus A, Mayordomo Jose I, Foekens John A, Couch Fergus J, Olopade Olufunmilayo I, Gudbjartsson Daniel F, Thorsteinsdottir Unnur, Rafnar Thorunn, Johannsson Oskar T, Stefansson Kari
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creator Stacey Simon N
Sulem Patrick
Zanon Carlo
Gudjonsson Sigurjon A
Thorleifsson Gudmar
Helgason Agnar
Jonasdottir Aslaug
Besenbacher Soren
Kostic Jelena P
Fackenthal James D
Huo Dezheng
Adebamowo Clement
Ogundiran Temidayo
Olson Janet E
Fredericksen Zachary S
Wang Xianshu
Look Maxime P
Sieuwerts Anieta M
Martens John W M
Pajares Isabel
Garcia-Prats Maria D
Ramon-Cajal Jose M
de Juan Ana
Panadero Angeles
Ortega Eugenia
Aben Katja K H
Vermeulen Sita H
Asadzadeh Fatemeh
van Engelenburg K C Anton
Margolin Sara
Shen Chen-Yang
Wu Pei-Ei
Försti Asta
Lenner Per , Umeå universitet, Onkologi
Henriksson Roger , Umeå universitet, Onkologi
Johansson Robert , Umeå universitet, Onkologi
Enquist Kerstin , Umeå universitet, Näringsforskning
Hallmans Göran , Umeå universitet, Näringsforskning
Jonsson Thorvaldur
Sigurdsson Helgi
Alexiusdottir Kristin
Gudmundsson Julius
Sigurdsson Asgeir
Frigge Michael L
Gudmundsson Larus
Kristjansson Kristleifur
Halldorsson Bjarni V
Styrkarsdottir Unnur
Gulcher Jeffrey R
Hemminki Kari
Lindblom Annika
Kiemeney Lambertus A
Mayordomo Jose I
Foekens John A
Couch Fergus J
Olopade Olufunmilayo I
Gudbjartsson Daniel F
Thorsteinsdottir Unnur
Rafnar Thorunn
Johannsson Oskar T
Stefansson Kari
description We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. Published We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of
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The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. Published We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. 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The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. Published We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. 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Soren ; Kostic Jelena P ; Fackenthal James D ; Huo Dezheng ; Adebamowo Clement ; Ogundiran Temidayo ; Olson Janet E ; Fredericksen Zachary S ; Wang Xianshu ; Look Maxime P ; Sieuwerts Anieta M ; Martens John W M ; Pajares Isabel ; Garcia-Prats Maria D ; Ramon-Cajal Jose M ; de Juan Ana ; Panadero Angeles ; Ortega Eugenia ; Aben Katja K H ; Vermeulen Sita H ; Asadzadeh Fatemeh ; van Engelenburg K C Anton ; Margolin Sara ; Shen Chen-Yang ; Wu Pei-Ei ; Försti Asta ; Lenner Per , Umeå universitet, Onkologi ; Henriksson Roger , Umeå universitet, Onkologi ; Johansson Robert , Umeå universitet, Onkologi ; Enquist Kerstin , Umeå universitet, Näringsforskning ; Hallmans Göran , Umeå universitet, Näringsforskning ; Jonsson Thorvaldur ; Sigurdsson Helgi ; Alexiusdottir Kristin ; Gudmundsson Julius ; Sigurdsson Asgeir ; Frigge Michael L ; Gudmundsson Larus ; Kristjansson Kristleifur ; Halldorsson Bjarni V ; Styrkarsdottir Unnur ; Gulcher Jeffrey R ; Hemminki Kari ; Lindblom Annika ; Kiemeney Lambertus A ; Mayordomo Jose I ; Foekens John A ; Couch Fergus J ; Olopade Olufunmilayo I ; Gudbjartsson Daniel F ; Thorsteinsdottir Unnur ; Rafnar Thorunn ; Johannsson Oskar T ; Stefansson Kari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-europeana_collections_9200111_BibliographicResource_10000859928053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; swe</language><creationdate>2010</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Stacey Simon N</creatorcontrib><creatorcontrib>Sulem Patrick</creatorcontrib><creatorcontrib>Zanon Carlo</creatorcontrib><creatorcontrib>Gudjonsson Sigurjon A</creatorcontrib><creatorcontrib>Thorleifsson Gudmar</creatorcontrib><creatorcontrib>Helgason Agnar</creatorcontrib><creatorcontrib>Jonasdottir Aslaug</creatorcontrib><creatorcontrib>Besenbacher Soren</creatorcontrib><creatorcontrib>Kostic Jelena P</creatorcontrib><creatorcontrib>Fackenthal James D</creatorcontrib><creatorcontrib>Huo Dezheng</creatorcontrib><creatorcontrib>Adebamowo Clement</creatorcontrib><creatorcontrib>Ogundiran Temidayo</creatorcontrib><creatorcontrib>Olson Janet E</creatorcontrib><creatorcontrib>Fredericksen Zachary S</creatorcontrib><creatorcontrib>Wang Xianshu</creatorcontrib><creatorcontrib>Look Maxime P</creatorcontrib><creatorcontrib>Sieuwerts Anieta M</creatorcontrib><creatorcontrib>Martens John W M</creatorcontrib><creatorcontrib>Pajares Isabel</creatorcontrib><creatorcontrib>Garcia-Prats Maria D</creatorcontrib><creatorcontrib>Ramon-Cajal Jose M</creatorcontrib><creatorcontrib>de Juan Ana</creatorcontrib><creatorcontrib>Panadero Angeles</creatorcontrib><creatorcontrib>Ortega Eugenia</creatorcontrib><creatorcontrib>Aben Katja K H</creatorcontrib><creatorcontrib>Vermeulen Sita H</creatorcontrib><creatorcontrib>Asadzadeh Fatemeh</creatorcontrib><creatorcontrib>van Engelenburg K C Anton</creatorcontrib><creatorcontrib>Margolin Sara</creatorcontrib><creatorcontrib>Shen Chen-Yang</creatorcontrib><creatorcontrib>Wu Pei-Ei</creatorcontrib><creatorcontrib>Försti Asta</creatorcontrib><creatorcontrib>Lenner Per , Umeå universitet, Onkologi</creatorcontrib><creatorcontrib>Henriksson Roger , Umeå universitet, Onkologi</creatorcontrib><creatorcontrib>Johansson Robert , Umeå universitet, Onkologi</creatorcontrib><creatorcontrib>Enquist Kerstin , Umeå universitet, Näringsforskning</creatorcontrib><creatorcontrib>Hallmans Göran , Umeå universitet, Näringsforskning</creatorcontrib><creatorcontrib>Jonsson Thorvaldur</creatorcontrib><creatorcontrib>Sigurdsson Helgi</creatorcontrib><creatorcontrib>Alexiusdottir Kristin</creatorcontrib><creatorcontrib>Gudmundsson Julius</creatorcontrib><creatorcontrib>Sigurdsson Asgeir</creatorcontrib><creatorcontrib>Frigge Michael L</creatorcontrib><creatorcontrib>Gudmundsson Larus</creatorcontrib><creatorcontrib>Kristjansson Kristleifur</creatorcontrib><creatorcontrib>Halldorsson Bjarni V</creatorcontrib><creatorcontrib>Styrkarsdottir Unnur</creatorcontrib><creatorcontrib>Gulcher Jeffrey R</creatorcontrib><creatorcontrib>Hemminki Kari</creatorcontrib><creatorcontrib>Lindblom Annika</creatorcontrib><creatorcontrib>Kiemeney Lambertus A</creatorcontrib><creatorcontrib>Mayordomo Jose I</creatorcontrib><creatorcontrib>Foekens John A</creatorcontrib><creatorcontrib>Couch Fergus J</creatorcontrib><creatorcontrib>Olopade Olufunmilayo I</creatorcontrib><creatorcontrib>Gudbjartsson Daniel F</creatorcontrib><creatorcontrib>Thorsteinsdottir Unnur</creatorcontrib><creatorcontrib>Rafnar Thorunn</creatorcontrib><creatorcontrib>Johannsson Oskar T</creatorcontrib><creatorcontrib>Stefansson Kari</creatorcontrib><collection>Europeana Collections</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stacey Simon N</au><au>Sulem Patrick</au><au>Zanon Carlo</au><au>Gudjonsson Sigurjon A</au><au>Thorleifsson Gudmar</au><au>Helgason Agnar</au><au>Jonasdottir Aslaug</au><au>Besenbacher Soren</au><au>Kostic Jelena P</au><au>Fackenthal James D</au><au>Huo Dezheng</au><au>Adebamowo Clement</au><au>Ogundiran Temidayo</au><au>Olson Janet E</au><au>Fredericksen Zachary S</au><au>Wang Xianshu</au><au>Look Maxime P</au><au>Sieuwerts Anieta M</au><au>Martens John W M</au><au>Pajares Isabel</au><au>Garcia-Prats Maria D</au><au>Ramon-Cajal Jose M</au><au>de Juan Ana</au><au>Panadero Angeles</au><au>Ortega Eugenia</au><au>Aben Katja K H</au><au>Vermeulen Sita H</au><au>Asadzadeh Fatemeh</au><au>van Engelenburg K C Anton</au><au>Margolin Sara</au><au>Shen Chen-Yang</au><au>Wu Pei-Ei</au><au>Försti Asta</au><au>Lenner Per , Umeå universitet, Onkologi</au><au>Henriksson Roger , Umeå universitet, Onkologi</au><au>Johansson Robert , Umeå universitet, Onkologi</au><au>Enquist Kerstin , Umeå universitet, Näringsforskning</au><au>Hallmans Göran , Umeå universitet, Näringsforskning</au><au>Jonsson Thorvaldur</au><au>Sigurdsson Helgi</au><au>Alexiusdottir Kristin</au><au>Gudmundsson Julius</au><au>Sigurdsson Asgeir</au><au>Frigge Michael L</au><au>Gudmundsson Larus</au><au>Kristjansson Kristleifur</au><au>Halldorsson Bjarni V</au><au>Styrkarsdottir Unnur</au><au>Gulcher Jeffrey R</au><au>Hemminki Kari</au><au>Lindblom Annika</au><au>Kiemeney Lambertus A</au><au>Mayordomo Jose I</au><au>Foekens John A</au><au>Couch Fergus J</au><au>Olopade Olufunmilayo I</au><au>Gudbjartsson Daniel F</au><au>Thorsteinsdottir Unnur</au><au>Rafnar Thorunn</au><au>Johannsson Oskar T</au><au>Stefansson Kari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PLoS genetics</atitle><date>2010</date><risdate>2010</risdate><abstract>We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. Published We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping. Published</abstract><pub>Public Library of Science</pub><oa>free_for_read</oa></addata></record>
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