Abstract
The Saami from Fennoscandia are believed to represent an ancient, genetically isolated population with no evidence of population expansion. Theoretical work has indicated that under this demographic scenario, extensive linkage disequilibrium (LD) is generated by genetic drift. Therefore, it has been suggested that the Saami would be particularly suited for genetic association studies, offering a substantial power advantage and allowing more economic study designs. However, no study has yet assessed this claim. As part of a GWAS for a complex trait, we evaluated the relative power for association studies of common variants in the Finnish Saami. LD patterns in the Saami were very similar to those in the non-African HapMap reference panels. Haplotype diversity was reduced and, on average, levels of LD were higher in the Saami as compared with those in the HapMap panels. However, using a ‘hidden’ SNP approach we show that this does not translate into a power gain in association studies. Contrary to earlier claims, we show that for a given set of common SNPs, genomic coverage attained in the Saami is similar to that in the non-African HapMap panels. Nevertheless, the reduced haplotype diversity could potentially facilitate gene identification, especially if multiple rare variants play a role in disease etiology. Our results further indicate that the HapMap is a useful resource for genetic studies in the Saami.
Similar content being viewed by others
Log in or create a free account to read this content
Gain free access to this article, as well as selected content from this journal and more on nature.com
or
References
Peltonen L, Jalanko A, Varilo T : Molecular genetics of the Finnish disease heritage. Hum Mol Genet 1999; 8: 1913–1923.
Laan M, Pääbo S : Demographic history and linkage disequilibrium in human populations. Nat Genet 1997; 17: 435–438.
Wright AF, Carothers AD, Pirastu M : Population choice in mapping genes for complex diseases. Nat Genet 1999; 23: 397–404.
Eaves IA, Merriman TR, Barber RA et al: The genetically isolated populations of Finland and Sardinia may not be a panacea for linkage disequilibrium mapping of common disease genes. Nat Genet 2000; 25: 320–323.
Peltonen L, Palotie A, Lange K : Use of population isolates for mapping complex traits. Nat Rev Genet 2000; 1: 182–190.
Kristiansson K, Naukkarinen J, Peltonen L : Isolated populations and complex disease gene identification. Genome Biol 2008; 9: 109.
Bonnen PE, Pe′er I, Plenge RM et al: Evaluating potential for whole-genome studies in Kosrae, an isolated population in Micronesia. Nat Genet 2006; 38: 214–217.
Service S, DeYoung J, Karayiorgou M et al: Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies. Nat Genet 2006; 38: 556–560.
Slatkin M : Linkage disequilibrium in growing and stable populations. Genetics 1994; 137: 331–336.
Terwilliger JD, Zöllner S, Laan M, Pääbo S : Mapping genes through the use of linkage disequilibrium generated by genetic drift: ‘drift mapping’ in small populations with no demographic expansion. Hum Hered 1998; 48: 138–154.
Sajantila A, Lahermo P, Anttinen T et al: Genes and languages in Europe: an analysis of mitochondrial lineages. Genome Res 1995; 5: 42–52.
Lahermo P, Sajantila A, Sistonen P et al: The genetic relationship between the Finns and the Finnish Saami (Lapps): analysis of nuclear DNA and mtDNA. Am J Hum Genet 1996; 58: 1309–1322.
Kaessmann H, Zöllner S, Gustafsson AC et al: Extensive linkage disequilibrium in small human populations in Eurasia. Am J Hum Genet 2002; 70: 673–685.
Sajantila A, Pääbo S : Language replacement in Scandinavia. Nat Genet 1995; 11: 359–360.
Laan M, Pääbo S : Mapping genes by drift-generated linkage disequilibrium. Am J Hum Genet 1998; 63: 654–656.
Johansson A, Vavruch-Nilsson V, Edin-Liljegren A, Sjolander P, Gyllensten U : Linkage disequilibrium between microsatellite markers in the Swedish Sami relative to a worldwide selection of populations. Hum Genet 2005; 116: 105–113.
Johansson A, Vavruch-Nilsson V, Cox DR, Frazer KA, Gyllensten U : Evaluation of the SNP tagging approach in an independent population sample – array-based SNP discovery in Sami. Hum Genet 2007; 122: 141–150.
Fransen E, Topsakal V, Hendrickx JJ et al: Occupational noise, smoking, and a high body mass index are risk factors for age-related hearing impairment and moderate alcohol consumption is protective: a European population-based multicenter study. J Assoc Res Otolaryngol 2008; 9: 264–276.
Van Laer L, Van Eyken E, Fransen E et al: The grainyhead like 2 gene (GRHL2), alias TFCP2L3, is associated with age-related hearing impairment. Hum Mol Genet 2008; 17: 159–169.
Huyghe JR, Van Laer L, Hendrickx JJ et al: Genome-wide SNP-based linkage scan identifies a locus on 8q24 for an age-related hearing impairment trait. Am J Hum Genet 2008; 83: 401–407.
Purcell S, Neale B, Todd-Brown K et al: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559–575.
The International HapMap Consortium: The International HapMap Project. Nature 2003; 426: 789–796.
The International HapMap Consortium: A second generation human haplotype map of over 3.1 million SNPs. Nature 2007; 449: 851–861.
Douglas JA, Sandefur CI : PedMine – a simulated annealing algorithm to identify maximally unrelated individuals in population isolates. Bioinformatics 2008; 24: 1106–1108.
Barrett JC, Fry B, Maller J, Daly MJ : Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 2005; 21: 263–265.
Malécot G : Les Mathématiques de l′Hérédité. Paris: Masson, 1948.
Pritchard JK, Przeworski M : Linkage disequilibrium in humans: models and data. Am J Hum Genet 2001; 69: 1–14.
Jakkula E, Rehnstrom K, Varilo T et al: The genome-wide patterns of variation expose significant substructure in a founder population. Am J Hum Genet 2008; 83: 787–794.
Salmela E, Lappalainen T, Fransson I et al: Genome-wide analysis of single nucleotide polymorphisms uncovers population structure in Northern Europe. PLoS ONE 2008; 3: e3519.
Terwilliger JD, Weiss KM : Linkage disequilibrium mapping of complex disease: fantasy or reality? Curr Opin Biotechnol 1998; 9: 578–594.
McCarthy MI, Abecasis GR, Cardon LR et al: Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat Rev Genet 2008; 9: 356–369.
Yu J, Pressoir G, Briggs WH et al: A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet 2006; 38: 203–208.
Amin N, van Duijn CM, Aulchenko YS : A genomic background based method for association analysis in related individuals. PLoS ONE 2007; 2: e1274.
Cohen JC, Kiss RS, Pertsemlidis A, Marcel YL, McPherson R, Hobbs HH : Multiple rare alleles contribute to low plasma levels of HDL cholesterol. Science 2004; 305: 869–872.
Acknowledgements
We express our most sincere gratitude to all the Saami volunteers who have participated in this study. This paper benefited from comments of two anonymous referees. This work was funded by the European Community (fifth Framework project QLRT-2001-00331), by the University of Antwerp (TOP project), by the Research Foundation – Flanders (FWO grant G.0163.09) and by the State of Arizona. JRH is a fellow of the Research Foundation – Flanders (FWO).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Supplementary Information accompanies the paper on European Journal of Human Genetics website
Supplementary information
Rights and permissions
About this article
Cite this article
Huyghe, J., Fransen, E., Hannula, S. et al. Genome-wide SNP analysis reveals no gain in power for association studies of common variants in the Finnish Saami. Eur J Hum Genet 18, 569–574 (2010). https://doi.org/10.1038/ejhg.2009.210
Received:
Revised:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/ejhg.2009.210
Keywords
This article is cited by
-
A genome-wide analysis of population structure in the Finnish Saami with implications for genetic association studies
European Journal of Human Genetics (2011)
-
A genome-wide association study for age-related hearing impairment in the Saami
European Journal of Human Genetics (2010)


