Analysis and application of European genetic substructure using 300 K SNP information.
European population genetic substructure was examined in a diverse set of >1,000 individuals of European descent, each genotyped with >300 K SNPs. Both STRUCTURE and principal component analyses (PCA) showed the largest division/principal component (PC) differentiated northern from southern Eu...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-01-01
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| Series: | PLoS Genetics |
| Online Access: | http://europepmc.org/articles/PMC2211544?pdf=render |
| _version_ | 1829458336228048896 |
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| author | Chao Tian Robert M Plenge Michael Ransom Annette Lee Pablo Villoslada Carlo Selmi Lars Klareskog Ann E Pulver Lihong Qi Peter K Gregersen Michael F Seldin |
| author_facet | Chao Tian Robert M Plenge Michael Ransom Annette Lee Pablo Villoslada Carlo Selmi Lars Klareskog Ann E Pulver Lihong Qi Peter K Gregersen Michael F Seldin |
| author_sort | Chao Tian |
| collection | DOAJ |
| description | European population genetic substructure was examined in a diverse set of >1,000 individuals of European descent, each genotyped with >300 K SNPs. Both STRUCTURE and principal component analyses (PCA) showed the largest division/principal component (PC) differentiated northern from southern European ancestry. A second PC further separated Italian, Spanish, and Greek individuals from those of Ashkenazi Jewish ancestry as well as distinguishing among northern European populations. In separate analyses of northern European participants other substructure relationships were discerned showing a west to east gradient. Application of this substructure information was critical in examining a real dataset in whole genome association (WGA) analyses for rheumatoid arthritis in European Americans to reduce false positive signals. In addition, two sets of European substructure ancestry informative markers (ESAIMs) were identified that provide substantial substructure information. The results provide further insight into European population genetic substructure and show that this information can be used for improving error rates in association testing of candidate genes and in replication studies of WGA scans. |
| first_indexed | 2024-12-12T06:47:21Z |
| format | Article |
| id | doaj.art-0362b8af7f65446487cb3831824d76f0 |
| institution | Directory Open Access Journal |
| issn | 1553-7390 1553-7404 |
| language | English |
| last_indexed | 2024-12-12T06:47:21Z |
| publishDate | 2008-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Genetics |
| spelling | doaj.art-0362b8af7f65446487cb3831824d76f02022-12-22T00:34:09ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042008-01-0141e410.1371/journal.pgen.0040004Analysis and application of European genetic substructure using 300 K SNP information.Chao TianRobert M PlengeMichael RansomAnnette LeePablo VillosladaCarlo SelmiLars KlareskogAnn E PulverLihong QiPeter K GregersenMichael F SeldinEuropean population genetic substructure was examined in a diverse set of >1,000 individuals of European descent, each genotyped with >300 K SNPs. Both STRUCTURE and principal component analyses (PCA) showed the largest division/principal component (PC) differentiated northern from southern European ancestry. A second PC further separated Italian, Spanish, and Greek individuals from those of Ashkenazi Jewish ancestry as well as distinguishing among northern European populations. In separate analyses of northern European participants other substructure relationships were discerned showing a west to east gradient. Application of this substructure information was critical in examining a real dataset in whole genome association (WGA) analyses for rheumatoid arthritis in European Americans to reduce false positive signals. In addition, two sets of European substructure ancestry informative markers (ESAIMs) were identified that provide substantial substructure information. The results provide further insight into European population genetic substructure and show that this information can be used for improving error rates in association testing of candidate genes and in replication studies of WGA scans.http://europepmc.org/articles/PMC2211544?pdf=render |
| spellingShingle | Chao Tian Robert M Plenge Michael Ransom Annette Lee Pablo Villoslada Carlo Selmi Lars Klareskog Ann E Pulver Lihong Qi Peter K Gregersen Michael F Seldin Analysis and application of European genetic substructure using 300 K SNP information. PLoS Genetics |
| title | Analysis and application of European genetic substructure using 300 K SNP information. |
| title_full | Analysis and application of European genetic substructure using 300 K SNP information. |
| title_fullStr | Analysis and application of European genetic substructure using 300 K SNP information. |
| title_full_unstemmed | Analysis and application of European genetic substructure using 300 K SNP information. |
| title_short | Analysis and application of European genetic substructure using 300 K SNP information. |
| title_sort | analysis and application of european genetic substructure using 300 k snp information |
| url | http://europepmc.org/articles/PMC2211544?pdf=render |
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