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Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892350/ https://www.ncbi.nlm.nih.gov/pubmed/17559308 http://dx.doi.org/10.1371/journal.pgen.0030097 |
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author | Perola, Markus Sammalisto, Sampo Hiekkalinna, Tero Martin, Nick G Visscher, Peter M Montgomery, Grant W Benyamin, Beben Harris, Jennifer R Boomsma, Dorret Willemsen, Gonneke Hottenga, Jouke-Jan Christensen, Kaare Kyvik, Kirsten Ohm Sørensen, Thorkild I. A Pedersen, Nancy L Magnusson, Patrik K. E Spector, Tim D Widen, Elisabeth Silventoinen, Karri Kaprio, Jaakko Palotie, Aarno Peltonen, Leena |
author_facet | Perola, Markus Sammalisto, Sampo Hiekkalinna, Tero Martin, Nick G Visscher, Peter M Montgomery, Grant W Benyamin, Beben Harris, Jennifer R Boomsma, Dorret Willemsen, Gonneke Hottenga, Jouke-Jan Christensen, Kaare Kyvik, Kirsten Ohm Sørensen, Thorkild I. A Pedersen, Nancy L Magnusson, Patrik K. E Spector, Tim D Widen, Elisabeth Silventoinen, Karri Kaprio, Jaakko Palotie, Aarno Peltonen, Leena |
author_sort | Perola, Markus |
collection | PubMed |
description | 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). |
format | Text |
id | pubmed-1892350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-18923502007-06-30 Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci Perola, Markus Sammalisto, Sampo Hiekkalinna, Tero Martin, Nick G Visscher, Peter M Montgomery, Grant W Benyamin, Beben Harris, Jennifer R Boomsma, Dorret Willemsen, Gonneke Hottenga, Jouke-Jan Christensen, Kaare Kyvik, Kirsten Ohm Sørensen, Thorkild I. A Pedersen, Nancy L Magnusson, Patrik K. E Spector, Tim D Widen, Elisabeth Silventoinen, Karri Kaprio, Jaakko Palotie, Aarno Peltonen, Leena PLoS Genet Research Article 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). Public Library of Science 2007-06 2007-06-08 /pmc/articles/PMC1892350/ /pubmed/17559308 http://dx.doi.org/10.1371/journal.pgen.0030097 Text en © 2007 Perola et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Perola, Markus Sammalisto, Sampo Hiekkalinna, Tero Martin, Nick G Visscher, Peter M Montgomery, Grant W Benyamin, Beben Harris, Jennifer R Boomsma, Dorret Willemsen, Gonneke Hottenga, Jouke-Jan Christensen, Kaare Kyvik, Kirsten Ohm Sørensen, Thorkild I. A Pedersen, Nancy L Magnusson, Patrik K. E Spector, Tim D Widen, Elisabeth Silventoinen, Karri Kaprio, Jaakko Palotie, Aarno Peltonen, Leena Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title | Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title_full | Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title_fullStr | Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title_full_unstemmed | Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title_short | Combined Genome Scans for Body Stature in 6,602 European Twins: Evidence for Common Caucasian Loci |
title_sort | combined genome scans for body stature in 6,602 european twins: evidence for common caucasian loci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892350/ https://www.ncbi.nlm.nih.gov/pubmed/17559308 http://dx.doi.org/10.1371/journal.pgen.0030097 |
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