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      Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci

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          Abstract

          Twin cohorts provide a unique advantage for investigations of the role of genetics and environment in the etiology of variation in common complex traits by reducing the variance due to environment, age, and cohort differences. The GenomEUtwin ( http://www.genomeutwin.org) consortium consists of eight twin cohorts (Australian, Danish, Dutch, Finnish, Italian, Norwegian, Swedish, and United Kingdom) with the total resource of hundreds of thousands of twin pairs. We performed quantitative trait locus (QTL) analysis of one of the most heritable human complex traits, adult stature (body height) using genome-wide scans performed for 3,817 families (8,450 individuals) derived from twin cohorts from Australia, Denmark, Finland, Netherlands, Sweden, and United Kingdom with an approximate ten-centimorgan microsatellite marker map. The marker maps for different studies differed and they were combined and related to the sequence positions using software developed by us, which is publicly available ( https://apps.bioinfo.helsinki.fi/software/cartographer.aspx). Variance component linkage analysis was performed with age, sex, and country of origin as covariates. The covariate adjusted heritability was 81% for stature in the pooled dataset. We found evidence for a major QTL for human stature on 8q21.3 (multipoint logarithm of the odds 3.28), and suggestive evidence for loci on Chromosomes X, 7, and 20. Some evidence of sex heterogeneity was found, however, no obvious female-specific QTLs emerged. Several cohorts contributed to the identified loci, suggesting an evolutionarily old genetic variant having effects on stature in European-based populations. To facilitate the genetic studies of stature we have also set up a website that lists all stature genome scans published and their most significant loci ( http://www.genomeutwin.org/stature_gene_map.htm).

          Author Summary

          Twin cohorts provide a unique advantage for research of the role of genetics and environment behind common complex traits by reducing the variance due to environment, age, and cohort differences. The GenomEUtwin consortium consists of eight twin cohorts with the total resource of hundreds of thousands of twin pairs ( http://www.genomeutwin.org). We performed quantitative family-based genetic linkage analysis for one of the most heritable human complex traits, adult stature (body height), using genome-wide scans derived from twin cohorts from Australia, Denmark, Finland, Netherlands, Sweden, and United Kingdom. Age, sex, and country were adjusted for in the data analyses. Human stature was found to be very heritable across all the cohorts and in the combined dataset. We found evidence for a shared genetic locus accounting for human stature on Chromosome 8, and suggestive evidence for loci on Chromosomes X, 7, and 20. Since twins from several countries contributed to the identified loci, an evolutionarily old genetic variant must influence stature in European-based populations. To facilitate the research in the field we have also set up a website that lists all stature genome scans published and their most significant loci ( http://www.genomeutwin.org/stature_gene_map.htm).

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          Most cited references42

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          Introduction to Quantitative Genetics

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            A high-resolution recombination map of the human genome.

            Determination of recombination rates across the human genome has been constrained by the limited resolution and accuracy of existing genetic maps and the draft genome sequence. We have genotyped 5,136 microsatellite markers for 146 families, with a total of 1,257 meiotic events, to build a high-resolution genetic map meant to: (i) improve the genetic order of polymorphic markers; (ii) improve the precision of estimates of genetic distances; (iii) correct portions of the sequence assembly and SNP map of the human genome; and (iv) build a map of recombination rates. Recombination rates are significantly correlated with both cytogenetic structures (staining intensity of G bands) and sequence (GC content, CpG motifs and poly(A)/poly(T) stretches). Maternal and paternal chromosomes show many differences in locations of recombination maxima. We detected systematic differences in recombination rates between mothers and between gametes from the same mother, suggesting that there is some underlying component determined by both genetic and environmental factors that affects maternal recombination rates.
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              GRR: graphical representation of relationship errors.

              A graphical tool for verifying assumed relationships between individuals in genetic studies is described. GRR can detect many common errors using genotypes from many markers. GRR is available at http://bioinformatics.well.ox.ac.uk/GRR.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                pgen
                plge
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                June 2007
                8 June 2007
                2 May 2007
                : 3
                : 6
                : e97
                Affiliations
                [1 ] Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
                [2 ] Faculty of Medicine, Department of Medical Genetics, University of Helsinki, Helsinki, Finland
                [3 ] Queensland Institute of Medical Research, Brisbane, Australia
                [4 ] Norwegian Institute of Public Health, Oslo, Norway
                [5 ] Free University, Amsterdam, The Netherlands
                [6 ] Department of Epidemiology, Institute of Public Health, University of Southern Denmark, Odense, Denmark
                [7 ] The Institute of Preventive Medicine, Copenhagen, Denmark
                [8 ] Karolinska Institutet, Stockholm, Sweden
                [9 ] Kings College London, London, United Kingdom
                [10 ] Finnish Genome Center, University of Helsinki, Helsinki, Finland
                [11 ] Faculty of Medicine, Department of Public Health, University of Helsinki, Helsinki, Finland
                [12 ] Department of Mental Health and Alcohol Research, National Public Health Institute, Helsinki, Finland
                [13 ] The Broad Institute, Massachusetts Institute of Technology, Boston, Massachusetts, United States of America
                University of Michigan, United States of America
                Author notes
                * To whom correspondence should be addressed. E-mail: leena.peltonen@ 123456ktl.fi
                Article
                07-PLGE-RA-0064R2 plge-03-06-09
                10.1371/journal.pgen.0030097
                1892350
                17559308
                e0ce3e1f-5ea0-4481-89a7-f705267aa88c
                Copyright: © 2007 Perola et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 4 February 2007
                : 2 May 2007
                Page count
                Pages: 10
                Categories
                Research Article
                Genetics and Genomics
                Homo (Human)
                Custom metadata
                Perola M, Sammalisto S, Hiekkalinna T, Martin NG, Visscher PM, et al. (2007) Combined genome scans for body stature in 6,602 European twins: Evidence for common Caucasian loci. PLoS Genet 3(6): e97. doi: 10.1371/journal.pgen.0030097

                Genetics
                Genetics

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