Investigation of the fine structure of European populations with applications to disease association studies
An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association s...
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Published in | European journal of human genetics : EJHG Vol. 16; no. 12; pp. 1413 - 1429 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
Published |
Cham
Springer International Publishing
01.12.2008
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1018-4813 1476-5438 1476-5438 |
DOI | 10.1038/ejhg.2008.210 |
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Abstract | An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East–West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North–South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding
LCT
,
HLA
and
HERC2
, were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictions can be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies. |
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AbstractList | An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East-West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North-South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding LCT, HLA and HERC2, were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictions can be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies. An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East–West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North–South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding LCT , HLA and HERC2 , were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictions can be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies. An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East-West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North-South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding LCT, HLA and HERC2, were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictions can be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies.An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East-West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North-South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding LCT, HLA and HERC2, were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictions can be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies. |
Author | Herçberg, Serge Meneton, Pierre Krokan, Hans E Skorpen, Frank Georges, Michael Szeszenia-Dabrowska, Neonilia Bencko, Vladimir McKay, James D Schreiber, Stefan Lissowska, Jolanta Janout, Vladimir Soria, José M Syvänen, Ann-Christine Gut, Ivo G Rudnai, Peter Génin, Emmanuel Elvestad, Maiken B Cardon, Lon R Mates, Dana Heath, Simon C Fabianova, Eleonora Zaridze, David Galan, Pilar Brennan, Paul Foretova, Lenka Kabesch, Michael Lathrop, Mark |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19020537$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-103503$$DView record from Swedish Publication Index |
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Snippet | An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from... |
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SubjectTerms | association Bioinformatics Biomedical and Life Sciences Biomedicine Case-Control Studies Cohort Studies Cytogenetics Disease - genetics Europe - epidemiology European Gene Expression Genetic Linkage Genetic Predisposition to Disease - epidemiology Genetics & genetic processes Genetics, Population - methods Genome-Wide Association Study Genotype GWAS Génétique & processus génétiques Human Genetics Humans Life sciences MEDICIN MEDICINE PCA Polymorphism, Single Nucleotide population Sciences du vivant structure |
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Title | Investigation of the fine structure of European populations with applications to disease association studies |
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