Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data
Once linkage is detected to a quantitative trait locus (QTL), the next step towards localizing the gene involved may be to identify those families, or individuals, in whom the putative mutations are segregating. In this paper, we describe a jackknife procedure for identifying individuals (and famili...
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| Veröffentlicht in: | Genetic epidemiology 1999, Vol.17 (S1), p.S259-S264 |
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| container_title | Genetic epidemiology |
| container_volume | 17 |
| creator | Mitchell, Braxton D. Ghosh, Soumitra Watanabe, Richard M. Slifer, Susan H. Hsueh, Wen-Chi Birznieks, Gunther |
| description | Once linkage is detected to a quantitative trait locus (QTL), the next step towards localizing the gene involved may be to identify those families, or individuals, in whom the putative mutations are segregating. In this paper, we describe a jackknife procedure for identifying individuals (and families) who contribute disproportionately to the linkage. Following initial detection of linkage to a QTL, the strategy involves sequentially removing each individual (or each family) from the analysis and recomputing the lod score associated with the linked region using data from all remaining subjects (or families). This procedure can be used to determine if particular observations have substantial impact on evidence for linkage. Identification of such observations may provide insights for further efforts to localize the QTL. |
| doi_str_mv | 10.1002/gepi.1370170744 |
| format | Article |
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Identification of such observations may provide insights for further efforts to localize the QTL.</description><subject>alcoholism</subject><subject>Alcoholism - genetics</subject><subject>Alcoholism - physiopathology</subject><subject>Chromosomes, Human, Pair 6</subject><subject>Event-Related Potentials, P300 - genetics</subject><subject>Genetic Linkage</subject><subject>Genetic Testing</subject><subject>Humans</subject><subject>influence plot</subject><subject>Lod Score</subject><subject>outliers</subject><subject>Quantitative Trait, Heritable</subject><subject>Reproducibility of Results</subject><issn>0741-0395</issn><issn>1098-2272</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEtv1DAURi0EokNhzQ55ySat7dhjB1bDqJ2ONKIV4rG0bmxnMPUkaewURuLH4ygVjxWr-9D5zuJD6CUlZ5QQdr53vT-jpSRUEsn5I7SgpFIFY5I9Rov8ogUpK3GCnsX4jRBKeSWeohNKRJXx5QL93FrXJt8cfbvHvm3COJ0Q8m79vbcjhJh3HHx7C3uHoYVwjD6-wau-D95A8l2LU4cB342Qoyl_7h1OA_iEQ2fGiK1LziRnJ0_66vD6erPCFhI8R0-a7HcvHuYp-nR58XF9VeyuN9v1alcYLiQvaC2UFEAUMxWhjDTcLBWAYsoawjkYC7XkhhFHLOe8sbWrCTWs4c1SVUKVp-j17O2H7m50MemDj8aFAK3rxqipKLniFa8m9HxGzdDFOLhG94M_wHDUlOipcj1Vrv9UnhOvHuRjfXD2L37uOANvZ-C7D-74P5_eXNxs_9EXc9rH5H78TsNwq5eylEJ_eb_R8sPl7rO4eqdvyl_70Z8b</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Mitchell, Braxton D.</creator><creator>Ghosh, Soumitra</creator><creator>Watanabe, Richard M.</creator><creator>Slifer, Susan H.</creator><creator>Hsueh, Wen-Chi</creator><creator>Birznieks, Gunther</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>1999</creationdate><title>Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data</title><author>Mitchell, Braxton D. ; Ghosh, Soumitra ; Watanabe, Richard M. ; Slifer, Susan H. ; Hsueh, Wen-Chi ; Birznieks, Gunther</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4574-1b5875a082c90120f4c68aa828dc044acdab74c20e0d444fdbeb01c2f4f689583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>alcoholism</topic><topic>Alcoholism - genetics</topic><topic>Alcoholism - physiopathology</topic><topic>Chromosomes, Human, Pair 6</topic><topic>Event-Related Potentials, P300 - genetics</topic><topic>Genetic Linkage</topic><topic>Genetic Testing</topic><topic>Humans</topic><topic>influence plot</topic><topic>Lod Score</topic><topic>outliers</topic><topic>Quantitative Trait, Heritable</topic><topic>Reproducibility of Results</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mitchell, Braxton D.</creatorcontrib><creatorcontrib>Ghosh, Soumitra</creatorcontrib><creatorcontrib>Watanabe, Richard M.</creatorcontrib><creatorcontrib>Slifer, Susan H.</creatorcontrib><creatorcontrib>Hsueh, Wen-Chi</creatorcontrib><creatorcontrib>Birznieks, Gunther</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Genetic epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mitchell, Braxton D.</au><au>Ghosh, Soumitra</au><au>Watanabe, Richard M.</au><au>Slifer, Susan H.</au><au>Hsueh, Wen-Chi</au><au>Birznieks, Gunther</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data</atitle><jtitle>Genetic epidemiology</jtitle><addtitle>Genet. Epidemiol</addtitle><date>1999</date><risdate>1999</risdate><volume>17</volume><issue>S1</issue><spage>S259</spage><epage>S264</epage><pages>S259-S264</pages><issn>0741-0395</issn><eissn>1098-2272</eissn><abstract>Once linkage is detected to a quantitative trait locus (QTL), the next step towards localizing the gene involved may be to identify those families, or individuals, in whom the putative mutations are segregating. In this paper, we describe a jackknife procedure for identifying individuals (and families) who contribute disproportionately to the linkage. Following initial detection of linkage to a QTL, the strategy involves sequentially removing each individual (or each family) from the analysis and recomputing the lod score associated with the linked region using data from all remaining subjects (or families). This procedure can be used to determine if particular observations have substantial impact on evidence for linkage. Identification of such observations may provide insights for further efforts to localize the QTL.</abstract><cop>New York</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>10597446</pmid><doi>10.1002/gepi.1370170744</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Genetic epidemiology, 1999, Vol.17 (S1), p.S259-S264 |
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| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | alcoholism Alcoholism - genetics Alcoholism - physiopathology Chromosomes, Human, Pair 6 Event-Related Potentials, P300 - genetics Genetic Linkage Genetic Testing Humans influence plot Lod Score outliers Quantitative Trait, Heritable Reproducibility of Results |
| title | Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data |
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