Loading…
Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus
Until recently, the sib-pair linkage method of Haseman and Elston could only be used for the detection of linkage between a quantitative trait locus (QTL) and a marker locus. It was not possible to estimate the amount of genetic variance contributed by the QTL or its recombination fraction with the...
Saved in:
Published in: | Genetics selection evolution (Paris) 1995-05, Vol.27 (2), p.97-110, Article 97 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-b447t-62036bf4cb414efc5dc079b0b39e923f5926f965bf3b07696ef20bb29f4cd7f3 |
---|---|
cites | |
container_end_page | 110 |
container_issue | 2 |
container_start_page | 97 |
container_title | Genetics selection evolution (Paris) |
container_volume | 27 |
creator | HAMANN, H GÖTZ, K. U |
description | Until recently, the sib-pair linkage method of Haseman and Elston could only be used for the detection of linkage between a quantitative trait locus (QTL) and a marker locus. It was not possible to estimate the amount of genetic variance contributed by the QTL or its recombination fraction with the marker locus. With the advent of dense marker maps for nearly every domestic species, every QTL should be located between 2 flanking markers. In this situation, the Haseman-Elston test can be modified to estimate the variance of a putative QTL as well as its recombination fractions with the 2 flanking markers. In the present paper, we derive 2 different estimation methods for the QTL variance based on the squared performance of full sibs: in one only the QTL variance is estimated, while in the other both the QTL variance and the recombination fractions are estimated. The method that estimates only the QTL variance turns out to be more powerful than the other. With respect to the estimation of QTL variance both methods give results close to the true values. However, the estimation of recombination fractions resulted in an overall underestimation of the true parameters. |
doi_str_mv | 10.1186/1297-9686-27-2-97 |
format | article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2708291</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A203303287</galeid><sourcerecordid>A203303287</sourcerecordid><originalsourceid>FETCH-LOGICAL-b447t-62036bf4cb414efc5dc079b0b39e923f5926f965bf3b07696ef20bb29f4cd7f3</originalsourceid><addsrcrecordid>eNqVkkuLFDEUhQtRsB39Ae4CiuCiNI-qpLIRhhkfAwOCjuAuJOmb6mh10pOkGv33puimoUEXrgI33z2cc5KmeU7wG0IG_pZQKVrJB95S0dJWigfN6jR72KywlLIlkn1_3DzJ-QfGmHe8WzWbbxlQdCh70-60T2jy4aceAW2hbOI6IxcTKhtAkIvf6uJjWPBlMkKA4i3a6-R1sIB0QRrdzzoUXyq5B1SS9gVN0c75afPI6SnDs-N50dx9eH939am9_fzx5urytjVdJ0rLKWbcuM6ajnTgbL-2WEiDDZMgKXO9pNxJ3hvHDBZccnAUG0NlXVkLxy6adwfZ3Wy2sLYQqodJ7VI1n36rqL06vwl-o8a4V1TggUpSBa4PAsbHfwic39i4VUvTamm6yiiqpKgyr44-Uryfa3lq67OFadIB4pwV4UNPaoAKvjiAo55A-eBiVbULrC7FQImUtGOVen1G2RgK_CqjnnNWN1-__B9bO2aY0WGxSQ6sTTHnBO4UlGC1fKy_Rnt5jKaz1ZNL9fF9Pi2ynnPeCfYH5SPOOw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>16851076</pqid></control><display><type>article</type><title>Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus</title><source>PubMed (Medline)</source><creator>HAMANN, H ; GÖTZ, K. U</creator><creatorcontrib>HAMANN, H ; GÖTZ, K. U</creatorcontrib><description>Until recently, the sib-pair linkage method of Haseman and Elston could only be used for the detection of linkage between a quantitative trait locus (QTL) and a marker locus. It was not possible to estimate the amount of genetic variance contributed by the QTL or its recombination fraction with the marker locus. With the advent of dense marker maps for nearly every domestic species, every QTL should be located between 2 flanking markers. In this situation, the Haseman-Elston test can be modified to estimate the variance of a putative QTL as well as its recombination fractions with the 2 flanking markers. In the present paper, we derive 2 different estimation methods for the QTL variance based on the squared performance of full sibs: in one only the QTL variance is estimated, while in the other both the QTL variance and the recombination fractions are estimated. The method that estimates only the QTL variance turns out to be more powerful than the other. With respect to the estimation of QTL variance both methods give results close to the true values. However, the estimation of recombination fractions resulted in an overall underestimation of the true parameters.</description><identifier>ISSN: 0999-193X</identifier><identifier>ISSN: 1297-9686</identifier><identifier>EISSN: 1297-9686</identifier><identifier>DOI: 10.1186/1297-9686-27-2-97</identifier><language>eng</language><publisher>Les Ulis: EDP Sciences</publisher><subject>Biological and medical sciences ; Classical genetics, quantitative genetics, hybrids ; Fundamental and applied biological sciences. Psychology ; Genetic research ; Genetics of eukaryotes. Biological and molecular evolution ; Methods ; Methods, theories and miscellaneous</subject><ispartof>Genetics selection evolution (Paris), 1995-05, Vol.27 (2), p.97-110, Article 97</ispartof><rights>1995 INIST-CNRS</rights><rights>COPYRIGHT 1995 BioMed Central Ltd.</rights><rights>Copyright © 1995 Elsevier/INRA 1995 Elsevier/INRA</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b447t-62036bf4cb414efc5dc079b0b39e923f5926f965bf3b07696ef20bb29f4cd7f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708291/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2708291/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3566647$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>HAMANN, H</creatorcontrib><creatorcontrib>GÖTZ, K. U</creatorcontrib><title>Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus</title><title>Genetics selection evolution (Paris)</title><description>Until recently, the sib-pair linkage method of Haseman and Elston could only be used for the detection of linkage between a quantitative trait locus (QTL) and a marker locus. It was not possible to estimate the amount of genetic variance contributed by the QTL or its recombination fraction with the marker locus. With the advent of dense marker maps for nearly every domestic species, every QTL should be located between 2 flanking markers. In this situation, the Haseman-Elston test can be modified to estimate the variance of a putative QTL as well as its recombination fractions with the 2 flanking markers. In the present paper, we derive 2 different estimation methods for the QTL variance based on the squared performance of full sibs: in one only the QTL variance is estimated, while in the other both the QTL variance and the recombination fractions are estimated. The method that estimates only the QTL variance turns out to be more powerful than the other. With respect to the estimation of QTL variance both methods give results close to the true values. However, the estimation of recombination fractions resulted in an overall underestimation of the true parameters.</description><subject>Biological and medical sciences</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genetic research</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Methods</subject><subject>Methods, theories and miscellaneous</subject><issn>0999-193X</issn><issn>1297-9686</issn><issn>1297-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNqVkkuLFDEUhQtRsB39Ae4CiuCiNI-qpLIRhhkfAwOCjuAuJOmb6mh10pOkGv33puimoUEXrgI33z2cc5KmeU7wG0IG_pZQKVrJB95S0dJWigfN6jR72KywlLIlkn1_3DzJ-QfGmHe8WzWbbxlQdCh70-60T2jy4aceAW2hbOI6IxcTKhtAkIvf6uJjWPBlMkKA4i3a6-R1sIB0QRrdzzoUXyq5B1SS9gVN0c75afPI6SnDs-N50dx9eH939am9_fzx5urytjVdJ0rLKWbcuM6ajnTgbL-2WEiDDZMgKXO9pNxJ3hvHDBZccnAUG0NlXVkLxy6adwfZ3Wy2sLYQqodJ7VI1n36rqL06vwl-o8a4V1TggUpSBa4PAsbHfwic39i4VUvTamm6yiiqpKgyr44-Uryfa3lq67OFadIB4pwV4UNPaoAKvjiAo55A-eBiVbULrC7FQImUtGOVen1G2RgK_CqjnnNWN1-__B9bO2aY0WGxSQ6sTTHnBO4UlGC1fKy_Rnt5jKaz1ZNL9fF9Pi2ynnPeCfYH5SPOOw</recordid><startdate>19950515</startdate><enddate>19950515</enddate><creator>HAMANN, H</creator><creator>GÖTZ, K. U</creator><general>EDP Sciences</general><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>19950515</creationdate><title>Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus</title><author>HAMANN, H ; GÖTZ, K. U</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b447t-62036bf4cb414efc5dc079b0b39e923f5926f965bf3b07696ef20bb29f4cd7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Biological and medical sciences</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genetic research</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Methods</topic><topic>Methods, theories and miscellaneous</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HAMANN, H</creatorcontrib><creatorcontrib>GÖTZ, K. U</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genetics selection evolution (Paris)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HAMANN, H</au><au>GÖTZ, K. U</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus</atitle><jtitle>Genetics selection evolution (Paris)</jtitle><date>1995-05-15</date><risdate>1995</risdate><volume>27</volume><issue>2</issue><spage>97</spage><epage>110</epage><pages>97-110</pages><artnum>97</artnum><issn>0999-193X</issn><issn>1297-9686</issn><eissn>1297-9686</eissn><abstract>Until recently, the sib-pair linkage method of Haseman and Elston could only be used for the detection of linkage between a quantitative trait locus (QTL) and a marker locus. It was not possible to estimate the amount of genetic variance contributed by the QTL or its recombination fraction with the marker locus. With the advent of dense marker maps for nearly every domestic species, every QTL should be located between 2 flanking markers. In this situation, the Haseman-Elston test can be modified to estimate the variance of a putative QTL as well as its recombination fractions with the 2 flanking markers. In the present paper, we derive 2 different estimation methods for the QTL variance based on the squared performance of full sibs: in one only the QTL variance is estimated, while in the other both the QTL variance and the recombination fractions are estimated. The method that estimates only the QTL variance turns out to be more powerful than the other. With respect to the estimation of QTL variance both methods give results close to the true values. However, the estimation of recombination fractions resulted in an overall underestimation of the true parameters.</abstract><cop>Les Ulis</cop><pub>EDP Sciences</pub><doi>10.1186/1297-9686-27-2-97</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0999-193X |
ispartof | Genetics selection evolution (Paris), 1995-05, Vol.27 (2), p.97-110, Article 97 |
issn | 0999-193X 1297-9686 1297-9686 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2708291 |
source | PubMed (Medline) |
subjects | Biological and medical sciences Classical genetics, quantitative genetics, hybrids Fundamental and applied biological sciences. Psychology Genetic research Genetics of eukaryotes. Biological and molecular evolution Methods Methods, theories and miscellaneous |
title | Use of sib-pair linkage methods for the estimation of the genetic variance at a quantitative trait locus |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T18%3A21%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Use%20of%20sib-pair%20linkage%20methods%20for%20the%20estimation%20of%20the%20genetic%20variance%20at%20a%20quantitative%20trait%20locus&rft.jtitle=Genetics%20selection%20evolution%20(Paris)&rft.au=HAMANN,%20H&rft.date=1995-05-15&rft.volume=27&rft.issue=2&rft.spage=97&rft.epage=110&rft.pages=97-110&rft.artnum=97&rft.issn=0999-193X&rft.eissn=1297-9686&rft_id=info:doi/10.1186/1297-9686-27-2-97&rft_dat=%3Cgale_pubme%3EA203303287%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b447t-62036bf4cb414efc5dc079b0b39e923f5926f965bf3b07696ef20bb29f4cd7f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=16851076&rft_id=info:pmid/&rft_galeid=A203303287&rfr_iscdi=true |