Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions
Macrosatellite repeats (MSRs), usually spanning hundreds of kilobases of genomic DNA, comprise a significant proportion of the human genome. Because of their highly polymorphic nature, MSRs represent an extreme example of copy number variation, but their structure and function is largely understudie...
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creator | Schaap, Mireille Lemmers, Richard J L F Maassen, Roel van der Vliet, Patrick J Hoogerheide, Lennart F van Dijk, Herman K Baştürk, Nalan de Knijff, Peter van der Maarel, Silvère M |
description | Macrosatellite repeats (MSRs), usually spanning hundreds of kilobases of genomic DNA, comprise a significant proportion of the human genome. Because of their highly polymorphic nature, MSRs represent an extreme example of copy number variation, but their structure and function is largely understudied. Here, we describe a detailed study of six autosomal and two X chromosomal MSRs among 270 HapMap individuals from Central Europe, Asia and Africa. Copy number variation, stability and genetic heterogeneity of the autosomal macrosatellite repeats RS447 (chromosome 4p), MSR5p (5p), FLJ40296 (13q), RNU2 (17q) and D4Z4 (4q and 10q) and X chromosomal DXZ4 and CT47 were investigated.
Repeat array size distribution analysis shows that all of these MSRs are highly polymorphic with the most genetic variation among Africans and the least among Asians. A mitotic mutation rate of 0.4-2.2% was observed, exceeding meiotic mutation rates and possibly explaining the large size variability found for these MSRs. By means of a novel Bayesian approach, statistical support for a distinct multimodal rather than a uniform allele size distribution was detected in seven out of eight MSRs, with evidence for equidistant intervals between the modes.
The multimodal distributions with evidence for equidistant intervals, in combination with the observation of MSR-specific constraints on minimum array size, suggest that MSRs are limited in their configurations and that deviations thereof may cause disease, as is the case for facioscapulohumeral muscular dystrophy. However, at present we cannot exclude that there are mechanistic constraints for MSRs that are not directly disease-related. This study represents the first comprehensive study of MSRs in different human populations by applying novel statistical methods and identifies commonalities and differences in their organization and function in the human genome. |
doi_str_mv | 10.1186/1471-2164-14-143 |
format | Article |
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Repeat array size distribution analysis shows that all of these MSRs are highly polymorphic with the most genetic variation among Africans and the least among Asians. A mitotic mutation rate of 0.4-2.2% was observed, exceeding meiotic mutation rates and possibly explaining the large size variability found for these MSRs. By means of a novel Bayesian approach, statistical support for a distinct multimodal rather than a uniform allele size distribution was detected in seven out of eight MSRs, with evidence for equidistant intervals between the modes.
The multimodal distributions with evidence for equidistant intervals, in combination with the observation of MSR-specific constraints on minimum array size, suggest that MSRs are limited in their configurations and that deviations thereof may cause disease, as is the case for facioscapulohumeral muscular dystrophy. However, at present we cannot exclude that there are mechanistic constraints for MSRs that are not directly disease-related. This study represents the first comprehensive study of MSRs in different human populations by applying novel statistical methods and identifies commonalities and differences in their organization and function in the human genome.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/1471-2164-14-143</identifier><identifier>PMID: 23496858</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Alleles ; Analysis ; Bayesian analysis ; chromosome 4 ; Chromosomes ; Cloning ; copy number ; Deoxyribonucleic acid ; DNA ; DNA Copy Number Variations - genetics ; Gene expression ; Genetic diversity ; Genetic research ; Genetic variation ; Genetics ; Genome Size - genetics ; Genome, Human - genetics ; Genomes ; Genomics ; Human genome ; Human population genetics ; Humans ; Internationality ; Medical research ; Medicine, Experimental ; Meiosis ; Mitosis - genetics ; Muscular dystrophy ; Mutation rates ; Population genetics ; Proteins ; Repetitive Sequences, Nucleic Acid - genetics ; Restrictions ; Size distribution ; Statistics ; Structure-function relationships ; Studies</subject><ispartof>BMC genomics, 2013-03, Vol.14 (1), p.143-143, Article 143</ispartof><rights>COPYRIGHT 2013 BioMed Central Ltd.</rights><rights>2013 Schaap et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright ©2013 Schaap et al; licensee BioMed Central Ltd. 2013 Schaap et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b684t-77de429bf15a58b1b8ba768f960bf511da04859bb8af1a9d60bab564f3899c43</citedby><cites>FETCH-LOGICAL-b684t-77de429bf15a58b1b8ba768f960bf511da04859bb8af1a9d60bab564f3899c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599962/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599962/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23496858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schaap, Mireille</creatorcontrib><creatorcontrib>Lemmers, Richard J L F</creatorcontrib><creatorcontrib>Maassen, Roel</creatorcontrib><creatorcontrib>van der Vliet, Patrick J</creatorcontrib><creatorcontrib>Hoogerheide, Lennart F</creatorcontrib><creatorcontrib>van Dijk, Herman K</creatorcontrib><creatorcontrib>Baştürk, Nalan</creatorcontrib><creatorcontrib>de Knijff, Peter</creatorcontrib><creatorcontrib>van der Maarel, Silvère M</creatorcontrib><title>Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>Macrosatellite repeats (MSRs), usually spanning hundreds of kilobases of genomic DNA, comprise a significant proportion of the human genome. Because of their highly polymorphic nature, MSRs represent an extreme example of copy number variation, but their structure and function is largely understudied. Here, we describe a detailed study of six autosomal and two X chromosomal MSRs among 270 HapMap individuals from Central Europe, Asia and Africa. Copy number variation, stability and genetic heterogeneity of the autosomal macrosatellite repeats RS447 (chromosome 4p), MSR5p (5p), FLJ40296 (13q), RNU2 (17q) and D4Z4 (4q and 10q) and X chromosomal DXZ4 and CT47 were investigated.
Repeat array size distribution analysis shows that all of these MSRs are highly polymorphic with the most genetic variation among Africans and the least among Asians. A mitotic mutation rate of 0.4-2.2% was observed, exceeding meiotic mutation rates and possibly explaining the large size variability found for these MSRs. By means of a novel Bayesian approach, statistical support for a distinct multimodal rather than a uniform allele size distribution was detected in seven out of eight MSRs, with evidence for equidistant intervals between the modes.
The multimodal distributions with evidence for equidistant intervals, in combination with the observation of MSR-specific constraints on minimum array size, suggest that MSRs are limited in their configurations and that deviations thereof may cause disease, as is the case for facioscapulohumeral muscular dystrophy. However, at present we cannot exclude that there are mechanistic constraints for MSRs that are not directly disease-related. This study represents the first comprehensive study of MSRs in different human populations by applying novel statistical methods and identifies commonalities and differences in their organization and function in the human genome.</description><subject>Alleles</subject><subject>Analysis</subject><subject>Bayesian analysis</subject><subject>chromosome 4</subject><subject>Chromosomes</subject><subject>Cloning</subject><subject>copy number</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA Copy Number Variations - genetics</subject><subject>Gene expression</subject><subject>Genetic diversity</subject><subject>Genetic research</subject><subject>Genetic variation</subject><subject>Genetics</subject><subject>Genome Size - genetics</subject><subject>Genome, Human - genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Human genome</subject><subject>Human population genetics</subject><subject>Humans</subject><subject>Internationality</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Meiosis</subject><subject>Mitosis - genetics</subject><subject>Muscular dystrophy</subject><subject>Mutation rates</subject><subject>Population genetics</subject><subject>Proteins</subject><subject>Repetitive Sequences, Nucleic Acid - genetics</subject><subject>Restrictions</subject><subject>Size distribution</subject><subject>Statistics</subject><subject>Structure-function relationships</subject><subject>Studies</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNk1Fr1TAUx4sobk7ffZKAL_rQ2bRJm_ogjIvOwUDQvYekPblmtElN2juvn8sP6GnvvO7KBEkg6T-_80845zRJntPslFJRvqGsomlOS5bSeRYPkuO99PDO_ih5EuN1ltFK5PxxcpQXrC4FF8fJz3Nwvof0xrZAlFPdNtpIvCG9aoKPaoSusyOQAAOokTR-2BI39RoC2ahg1Wi9I9aRGx-6djEZ_DB1ix7fEtig5BogxgfSWmMgzJ8Rr2rRrO89XmlHiwqaRPsDkIpjsHpaHBZukQPMcrOoT5NHRnURnt2uJ8nVh_dXq4_p5afzi9XZZapLwca0qlpgea0N5YoLTbXQqiqFqctMG05pqzImeK21UIaqukVZaV4yU4i6blhxkrzb2Q6T7qFtwI1BdXIItldhK72y8vDE2a9y7Tey4HVdlzkarHYG2vp_GByeYEbkXDQ5Fw13OAt0eXX7jOC_TZgG2dvYYF2UAz9FSYu8EBmntfgPFDuACUpLRF_-hV77KWA1FkMqKGNV9odaqw6kdcbjO5vZVJ7xgnFso7JC6vQeCkcLvW28A2NRPwh4fRCAzAjfx7WaYpQXXz4fstmOnfsxBjD7_NFMzn_BfRl7cbdw-4DfbV_8Ah_MBoc</recordid><startdate>20130304</startdate><enddate>20130304</enddate><creator>Schaap, Mireille</creator><creator>Lemmers, Richard J L F</creator><creator>Maassen, Roel</creator><creator>van der Vliet, Patrick J</creator><creator>Hoogerheide, Lennart F</creator><creator>van Dijk, Herman K</creator><creator>Baştürk, Nalan</creator><creator>de Knijff, Peter</creator><creator>van der Maarel, Silvère M</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130304</creationdate><title>Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions</title><author>Schaap, Mireille ; Lemmers, Richard J L F ; Maassen, Roel ; van der Vliet, Patrick J ; Hoogerheide, Lennart F ; van Dijk, Herman K ; Baştürk, Nalan ; de Knijff, Peter ; van der Maarel, Silvère M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b684t-77de429bf15a58b1b8ba768f960bf511da04859bb8af1a9d60bab564f3899c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Alleles</topic><topic>Analysis</topic><topic>Bayesian analysis</topic><topic>chromosome 4</topic><topic>Chromosomes</topic><topic>Cloning</topic><topic>copy number</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA Copy Number Variations - genetics</topic><topic>Gene expression</topic><topic>Genetic diversity</topic><topic>Genetic research</topic><topic>Genetic variation</topic><topic>Genetics</topic><topic>Genome Size - genetics</topic><topic>Genome, Human - genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Human genome</topic><topic>Human population genetics</topic><topic>Humans</topic><topic>Internationality</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Meiosis</topic><topic>Mitosis - genetics</topic><topic>Muscular dystrophy</topic><topic>Mutation rates</topic><topic>Population genetics</topic><topic>Proteins</topic><topic>Repetitive Sequences, Nucleic Acid - genetics</topic><topic>Restrictions</topic><topic>Size distribution</topic><topic>Statistics</topic><topic>Structure-function relationships</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schaap, Mireille</creatorcontrib><creatorcontrib>Lemmers, Richard J L F</creatorcontrib><creatorcontrib>Maassen, Roel</creatorcontrib><creatorcontrib>van der Vliet, Patrick J</creatorcontrib><creatorcontrib>Hoogerheide, Lennart F</creatorcontrib><creatorcontrib>van Dijk, Herman K</creatorcontrib><creatorcontrib>Baştürk, Nalan</creatorcontrib><creatorcontrib>de Knijff, Peter</creatorcontrib><creatorcontrib>van der Maarel, Silvère M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schaap, Mireille</au><au>Lemmers, Richard J L F</au><au>Maassen, Roel</au><au>van der Vliet, Patrick J</au><au>Hoogerheide, Lennart F</au><au>van Dijk, Herman K</au><au>Baştürk, Nalan</au><au>de Knijff, Peter</au><au>van der Maarel, Silvère M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2013-03-04</date><risdate>2013</risdate><volume>14</volume><issue>1</issue><spage>143</spage><epage>143</epage><pages>143-143</pages><artnum>143</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>Macrosatellite repeats (MSRs), usually spanning hundreds of kilobases of genomic DNA, comprise a significant proportion of the human genome. Because of their highly polymorphic nature, MSRs represent an extreme example of copy number variation, but their structure and function is largely understudied. Here, we describe a detailed study of six autosomal and two X chromosomal MSRs among 270 HapMap individuals from Central Europe, Asia and Africa. Copy number variation, stability and genetic heterogeneity of the autosomal macrosatellite repeats RS447 (chromosome 4p), MSR5p (5p), FLJ40296 (13q), RNU2 (17q) and D4Z4 (4q and 10q) and X chromosomal DXZ4 and CT47 were investigated.
Repeat array size distribution analysis shows that all of these MSRs are highly polymorphic with the most genetic variation among Africans and the least among Asians. A mitotic mutation rate of 0.4-2.2% was observed, exceeding meiotic mutation rates and possibly explaining the large size variability found for these MSRs. By means of a novel Bayesian approach, statistical support for a distinct multimodal rather than a uniform allele size distribution was detected in seven out of eight MSRs, with evidence for equidistant intervals between the modes.
The multimodal distributions with evidence for equidistant intervals, in combination with the observation of MSR-specific constraints on minimum array size, suggest that MSRs are limited in their configurations and that deviations thereof may cause disease, as is the case for facioscapulohumeral muscular dystrophy. However, at present we cannot exclude that there are mechanistic constraints for MSRs that are not directly disease-related. This study represents the first comprehensive study of MSRs in different human populations by applying novel statistical methods and identifies commonalities and differences in their organization and function in the human genome.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>23496858</pmid><doi>10.1186/1471-2164-14-143</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alleles Analysis Bayesian analysis chromosome 4 Chromosomes Cloning copy number Deoxyribonucleic acid DNA DNA Copy Number Variations - genetics Gene expression Genetic diversity Genetic research Genetic variation Genetics Genome Size - genetics Genome, Human - genetics Genomes Genomics Human genome Human population genetics Humans Internationality Medical research Medicine, Experimental Meiosis Mitosis - genetics Muscular dystrophy Mutation rates Population genetics Proteins Repetitive Sequences, Nucleic Acid - genetics Restrictions Size distribution Statistics Structure-function relationships Studies |
title | Genome-wide analysis of macrosatellite repeat copy number variation in worldwide populations: evidence for differences and commonalities in size distributions and size restrictions |
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