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Olshen AB, Gold B, Lohmueller KE, Struewing JP, Satagopan J, Stefanov SA, Eskin E, Kirchhoff T, Lautenberger JA, Klein RJ, Friedman E, Norton L, Ellis NA, Viale A, Lee CS, Borgen PI, Clark AG, Offit K, Boyd J. Analysis of genetic variation in Ashkenazi Jews by high density SNP genotyping. BMC Genet 2008; 9:14. [PMID: 18251999 PMCID: PMC2259380 DOI: 10.1186/1471-2156-9-14] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2007] [Accepted: 02/05/2008] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Genetic isolates such as the Ashkenazi Jews (AJ) potentially offer advantages in mapping novel loci in whole genome disease association studies. To analyze patterns of genetic variation in AJ, genotypes of 101 healthy individuals were determined using the Affymetrix EAv3 500 K SNP array and compared to 60 CEPH-derived HapMap (CEU) individuals. 435,632 SNPs overlapped and met annotation criteria in the two groups. RESULTS A small but significant global difference in allele frequencies between AJ and CEU was demonstrated by a mean FST of 0.009 (P < 0.001); large regions that differed were found on chromosomes 2 and 6. Haplotype blocks inferred from pairwise linkage disequilibrium (LD) statistics (Haploview) as well as by expectation-maximization haplotype phase inference (HAP) showed a greater number of haplotype blocks in AJ compared to CEU by Haploview (50,397 vs. 44,169) or by HAP (59,269 vs. 54,457). Average haplotype blocks were smaller in AJ compared to CEU (e.g., 36.8 kb vs. 40.5 kb HAP). Analysis of global patterns of local LD decay for closely-spaced SNPs in CEU demonstrated more LD, while for SNPs further apart, LD was slightly greater in the AJ. A likelihood ratio approach showed that runs of homozygous SNPs were approximately 20% longer in AJ. A principal components analysis was sufficient to completely resolve the CEU from the AJ. CONCLUSION LD in the AJ versus was lower than expected by some measures and higher by others. Any putative advantage in whole genome association mapping using the AJ population will be highly dependent on regional LD structure.
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Affiliation(s)
- Adam B Olshen
- Departments of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Bert Gold
- Laboratories of Genomic Diversity, National Cancer Institute, Bethesda, MD, USA
| | - Kirk E Lohmueller
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | | | - Jaya Satagopan
- Departments of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Stefan A Stefanov
- Laboratories of Genomic Diversity, National Cancer Institute, Bethesda, MD, USA
| | - Eleazar Eskin
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Tomas Kirchhoff
- Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | | | - Robert J Klein
- Programs in Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Eitan Friedman
- Chaim Sheba Medical Center, Tel-Hashomer, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Larry Norton
- Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Nathan A Ellis
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Agnes Viale
- Molecular Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Catherine S Lee
- Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Patrick I Borgen
- Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Andrew G Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Kenneth Offit
- Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jeff Boyd
- Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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Tang J, Freedman DO, Allen S, Karita E, Musonda R, Braga C, Margolick J, Kaslow RA. TAPI polymorphisms in several human ethnic groups: characteristics, evolution, and genotyping strategies. Hum Immunol 2001; 62:256-68. [PMID: 11250043 DOI: 10.1016/s0198-8859(00)00259-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Genetic variations in the locus encoding the transporter associated with antigen processing, subunit 1 (TAP1), were systematically studied using samples from Caucasians, Africans, Brazilians, and compared with data from chimpanzees. PCR-amplified genomic sequences corresponding to the 11 exons were analyzed by single-strand conformation polymorphism (SSCP) and sequencing. Six nonsynonymous and 2 synonymous single nucleotide polymorphisms (SNPs) were found to be common in one ethnic group or another, and they involved codons 254 (Gly-GGC/Gly-GGT) in exon 3, 333 (Ile-ATC/Val-GTC) in exon 4, 370 (Ala-GCT/Val-GTT) in exon 5, 458 (Val-GTG/Leu-TTG) in exon 6, 518 (Val-GTC/Ile-ATC) in exon 7, 637 (Asp-GAC/Gly-GGC), 648 (Arg-CGA/Gln-CAA) and 661 (Pro-CCG/Pro-CCA) in exon 10. At each SNP site the sequence listed first was predominant in all ethnic groups. Several SNPs segregated on the same chromosome regardless of populations and species. Together, the SNPs produced 5 major human TAP1 alleles, 4 of which matched the officially recognized alleles *0101, *02011, *0301, and *0401; the 5th allele differed from each of those by at least 4 SNPs. Overall, TAP1*0101 was the predominant allele in all ethnic groups, with frequencies ranging from 0.667 in Zambians to 0.808 in US Caucasians. The TAP1*0401 frequency showed the greatest difference between Africans (0.221-0.254) and Caucasians (0.033), with Brazilians (0.058) fitting in the middle. Consistent with earlier work based on Caucasians and gorillas, *0101 appeared to be the newest human TAP1 allele, suggesting a dramatic spread of *0101 into all human populations examined. Characterization of TAP1 polymorphisms allowed the design of a PCR-based genotyping scheme that targeted 7 SNP sites and required 2 separate genotyping techniques.
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Affiliation(s)
- J Tang
- Division of Geographic Medicine, Department of Medicine, University of Alabama at Birmingham, Alabama 35294-0022, USA.
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