Insights and implications of genome wide association studies of height
In the last decade, genome-wide association studies (GWASs) have catalyzed our understanding of the genetics of height and have identified hundreds of regions of the genome associated with adult height and other height-related body measurements. GWASs related to height were identified via PubMed sea...
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Veröffentlicht in: | The journal of clinical endocrinology and metabolism 2018-09, Vol.103 (9), p.3155-3168 |
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description | In the last decade, genome-wide association studies (GWASs) have catalyzed our understanding of the genetics of height and have identified hundreds of regions of the genome associated with adult height and other height-related body measurements.
GWASs related to height were identified via PubMed search and a review of the GWAS catalog.
The GWAS results demonstrate that height is highly polygenic: that is, many thousands of genetic variants distributed across the genome each contribute to an individual's height. These height-associated regions of the genome are enriched for genes in known biological pathways involved in growth, such as fibroblast growth factor signaling, as well as for genes expressed in relevant tissues, such as the growth plate. GWASs can also uncover previously unappreciated biological pathways, such as the STC2/PAPPA/IGFBP4 pathway. The genes implicated by GWASs are often the same genes that are the genetic causes of Mendelian growth disorders or skeletal dysplasias, and GWAS results can provide complementary information about these disorders.
Here, we review the rationale behind GWASs and what we have learned from GWASs for height, including how it has enhanced our understanding of the underlying biology of human growth. We also highlight the implications of GWASs in terms of prediction of adult height and our understanding of Mendelian growth disorders. |
doi_str_mv | 10.1210/jc.2018-01126 |
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GWASs related to height were identified via PubMed search and a review of the GWAS catalog.
The GWAS results demonstrate that height is highly polygenic: that is, many thousands of genetic variants distributed across the genome each contribute to an individual's height. These height-associated regions of the genome are enriched for genes in known biological pathways involved in growth, such as fibroblast growth factor signaling, as well as for genes expressed in relevant tissues, such as the growth plate. GWASs can also uncover previously unappreciated biological pathways, such as the STC2/PAPPA/IGFBP4 pathway. The genes implicated by GWASs are often the same genes that are the genetic causes of Mendelian growth disorders or skeletal dysplasias, and GWAS results can provide complementary information about these disorders.
Here, we review the rationale behind GWASs and what we have learned from GWASs for height, including how it has enhanced our understanding of the underlying biology of human growth. We also highlight the implications of GWASs in terms of prediction of adult height and our understanding of Mendelian growth disorders.</description><identifier>ISSN: 0021-972X</identifier><identifier>EISSN: 1945-7197</identifier><identifier>DOI: 10.1210/jc.2018-01126</identifier><identifier>PMID: 29982553</identifier><language>eng</language><publisher>United States: Copyright Oxford University Press</publisher><subject>Body height ; Body measurements ; Fibroblast growth factors ; Genetic diversity ; Genome-wide association studies ; Genomes ; Growth plate ; Insulin-like growth factor-binding protein 4 ; Mini-Reviews</subject><ispartof>The journal of clinical endocrinology and metabolism, 2018-09, Vol.103 (9), p.3155-3168</ispartof><rights>Copyright © Oxford University Press 2015</rights><rights>Copyright © 2018 Endocrine Society</rights><rights>Copyright © 2018 Endocrine Society 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4576-80784c4365b9cbf52598f3b060d37befacb7c7474c046c8af00a6329ddeeefce3</citedby><cites>FETCH-LOGICAL-c4576-80784c4365b9cbf52598f3b060d37befacb7c7474c046c8af00a6329ddeeefce3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2364255272?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,21387,21388,27923,27924,33529,33530,33743,33744,43658,43804,64384,64386,64388,72240,72894,72899,72900,72902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29982553$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Michael H</creatorcontrib><creatorcontrib>Hirschhorn, Joel N</creatorcontrib><creatorcontrib>Dauber, Andrew</creatorcontrib><title>Insights and implications of genome wide association studies of height</title><title>The journal of clinical endocrinology and metabolism</title><addtitle>J Clin Endocrinol Metab</addtitle><description>In the last decade, genome-wide association studies (GWASs) have catalyzed our understanding of the genetics of height and have identified hundreds of regions of the genome associated with adult height and other height-related body measurements.
GWASs related to height were identified via PubMed search and a review of the GWAS catalog.
The GWAS results demonstrate that height is highly polygenic: that is, many thousands of genetic variants distributed across the genome each contribute to an individual's height. These height-associated regions of the genome are enriched for genes in known biological pathways involved in growth, such as fibroblast growth factor signaling, as well as for genes expressed in relevant tissues, such as the growth plate. GWASs can also uncover previously unappreciated biological pathways, such as the STC2/PAPPA/IGFBP4 pathway. The genes implicated by GWASs are often the same genes that are the genetic causes of Mendelian growth disorders or skeletal dysplasias, and GWAS results can provide complementary information about these disorders.
Here, we review the rationale behind GWASs and what we have learned from GWASs for height, including how it has enhanced our understanding of the underlying biology of human growth. We also highlight the implications of GWASs in terms of prediction of adult height and our understanding of Mendelian growth disorders.</description><subject>Body height</subject><subject>Body measurements</subject><subject>Fibroblast growth factors</subject><subject>Genetic diversity</subject><subject>Genome-wide association studies</subject><subject>Genomes</subject><subject>Growth plate</subject><subject>Insulin-like growth factor-binding protein 4</subject><subject>Mini-Reviews</subject><issn>0021-972X</issn><issn>1945-7197</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNpdkctr3DAQh0VpSTaPY6_F0EsvTkcPS9alUELzgEAuCeQmZHm81ta2NpKdpf99vbtJSHKaw3zzY2Y-Qr5SOKOMws-VO2NAyxwoZfITWVAtilxRrT6TBQCjuVbs4ZAcpbQCoEIU_IAcMq1LVhR8QS6uh-SX7ZgyO9SZ79edd3b0YUhZaLIlDqHHbONrzGxKwfldL0vjVHvcIS1ux0_Il8Z2CU-f6zG5v_hzd36V39xeXp__vsmdKJTMS1ClcILLotKuagpW6LLhFUiouaqwsa5STgklHAjpStsAWMmZrmtEbBzyY_Jrn7ueqh5rh8MYbWfW0fc2_jPBevO-M_jWLMOTUUxyVZZzwI_ngBgeJ0yj6X1y2HV2wDAlw0AqyjRjMKPfP6CrMMVhPs8wLsX8P6bYTOV7ysWQUsTmdRkKZmvIrJzZGjI7QzP_7e0Fr_SLkhmge2ATuhFj-ttNG4ymRduN7cfQvXb-H1l6nM8</recordid><startdate>20180901</startdate><enddate>20180901</enddate><creator>Guo, Michael H</creator><creator>Hirschhorn, Joel N</creator><creator>Dauber, Andrew</creator><general>Copyright Oxford University Press</general><general>Oxford University Press</general><general>Endocrine Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7T5</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180901</creationdate><title>Insights and implications of genome wide association studies of height</title><author>Guo, Michael H ; 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GWASs related to height were identified via PubMed search and a review of the GWAS catalog.
The GWAS results demonstrate that height is highly polygenic: that is, many thousands of genetic variants distributed across the genome each contribute to an individual's height. These height-associated regions of the genome are enriched for genes in known biological pathways involved in growth, such as fibroblast growth factor signaling, as well as for genes expressed in relevant tissues, such as the growth plate. GWASs can also uncover previously unappreciated biological pathways, such as the STC2/PAPPA/IGFBP4 pathway. The genes implicated by GWASs are often the same genes that are the genetic causes of Mendelian growth disorders or skeletal dysplasias, and GWAS results can provide complementary information about these disorders.
Here, we review the rationale behind GWASs and what we have learned from GWASs for height, including how it has enhanced our understanding of the underlying biology of human growth. We also highlight the implications of GWASs in terms of prediction of adult height and our understanding of Mendelian growth disorders.</abstract><cop>United States</cop><pub>Copyright Oxford University Press</pub><pmid>29982553</pmid><doi>10.1210/jc.2018-01126</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Body height Body measurements Fibroblast growth factors Genetic diversity Genome-wide association studies Genomes Growth plate Insulin-like growth factor-binding protein 4 Mini-Reviews |
title | Insights and implications of genome wide association studies of height |
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