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A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia
Genetic diagnosis of familial hypercholesterolemia (FH) remains unexplained in 30 to 70% of patients after exclusion of monogenic disease. There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS)...
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Published in: | Translational research : the journal of laboratory and clinical medicine 2023-05, Vol.255, p.119-127 |
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creator | Vanhoye, Xavier Bardel, Claire Rimbert, Antoine Moulin, Philippe Rollat-Farnier, Pierre-Antoine Muntaner, Manon Marmontel, Oriane Dumont, Sabrina Charrière, Sybil Cornélis, François Ducluzeau, Pierre Henri Fonteille, Annie Nobecourt, Estelle Peretti, Noël Schillo, Franck Wargny, Matthieu Cariou, Bertrand Meirhaeghe, Aline Di Filippo, Mathilde |
description | Genetic diagnosis of familial hypercholesterolemia (FH) remains unexplained in 30 to 70% of patients after exclusion of monogenic disease. There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS) have been set up. However, the balance between their diagnosis performance and their practical use in routine practice is not clearly established. Consequently, we set up new PRS based on our routine panel for sequencing and compared their diagnostic performance with previously-published PRS. After a meta-analysis, four new PRS including 165 to 1633 SNP were setup using different softwares. They were established using two French control cohorts (MONA LISA n=1082 and FranceGenRef n=856). Then the explained LDL-c variance and the ability of each PRS to discriminate monogenic negative FH patients (M-) versus healthy controls were compared with 4 previously-described PRS in 785 unrelated FH patients. Between all PRS, the 165-SNP PRS developed with PLINK showed the best LDL-c explained variance (adjusted R²=0.19) and the best diagnosis abilities (AUROC=0.77, 95%CI=0.74-0.79): it significantly outperformed all the previously-published PRS (p |
doi_str_mv | 10.1016/j.trsl.2022.12.002 |
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There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS) have been set up. However, the balance between their diagnosis performance and their practical use in routine practice is not clearly established. Consequently, we set up new PRS based on our routine panel for sequencing and compared their diagnostic performance with previously-published PRS. After a meta-analysis, four new PRS including 165 to 1633 SNP were setup using different softwares. They were established using two French control cohorts (MONA LISA n=1082 and FranceGenRef n=856). Then the explained LDL-c variance and the ability of each PRS to discriminate monogenic negative FH patients (M-) versus healthy controls were compared with 4 previously-described PRS in 785 unrelated FH patients. Between all PRS, the 165-SNP PRS developed with PLINK showed the best LDL-c explained variance (adjusted R²=0.19) and the best diagnosis abilities (AUROC=0.77, 95%CI=0.74-0.79): it significantly outperformed all the previously-published PRS (p<1 × 10−4). By using a cut-off at the 75th percentile, 61% of M- patients exhibited a polygenic hypercholesterolemia with the 165-SNP PRS versus 48% with the previously published 12-SNP PRS (p =3.3 × 10−6). These results were replicated using the UK biobank. This new 165-SNP PRS, usable in routine diagnosis, exhibits better diagnosis abilities for a polygenic hypercholesterolemia diagnosis. It would be a valuable tool to optimize referral for whole genome sequencing.</description><identifier>ISSN: 1931-5244</identifier><identifier>EISSN: 1878-1810</identifier><identifier>DOI: 10.1016/j.trsl.2022.12.002</identifier><identifier>PMID: 36528340</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>APOB, apolipoprotein B ; APOE, apolipoprotein E ; Cholesterol, LDL - genetics ; High-Throughput Nucleotide Sequencing ; Humans ; Hypercholesterolemia - diagnosis ; Hypercholesterolemia - genetics ; Hyperlipoproteinemia Type II - diagnosis ; Hyperlipoproteinemia Type II - genetics ; LDLR, low density lipoprotein receptor ; Life Sciences ; Mutation ; PCSK9, proprotein convertase subtilisin/kexin type 9 ; Proprotein Convertase 9 - genetics ; Receptors, LDL - genetics ; Risk Factors</subject><ispartof>Translational research : the journal of laboratory and clinical medicine, 2023-05, Vol.255, p.119-127</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-e33516e3ce334e084e26abcb8986106e6ce00ced6d312aec2e439fcae5ef7a793</citedby><cites>FETCH-LOGICAL-c434t-e33516e3ce334e084e26abcb8986106e6ce00ced6d312aec2e439fcae5ef7a793</cites><orcidid>0000-0001-6206-5908 ; 0000-0002-2971-4926 ; 0000-0001-7427-0108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36528340$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04172500$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Vanhoye, Xavier</creatorcontrib><creatorcontrib>Bardel, Claire</creatorcontrib><creatorcontrib>Rimbert, Antoine</creatorcontrib><creatorcontrib>Moulin, Philippe</creatorcontrib><creatorcontrib>Rollat-Farnier, Pierre-Antoine</creatorcontrib><creatorcontrib>Muntaner, Manon</creatorcontrib><creatorcontrib>Marmontel, Oriane</creatorcontrib><creatorcontrib>Dumont, Sabrina</creatorcontrib><creatorcontrib>Charrière, Sybil</creatorcontrib><creatorcontrib>Cornélis, François</creatorcontrib><creatorcontrib>Ducluzeau, Pierre Henri</creatorcontrib><creatorcontrib>Fonteille, Annie</creatorcontrib><creatorcontrib>Nobecourt, Estelle</creatorcontrib><creatorcontrib>Peretti, Noël</creatorcontrib><creatorcontrib>Schillo, Franck</creatorcontrib><creatorcontrib>Wargny, Matthieu</creatorcontrib><creatorcontrib>Cariou, Bertrand</creatorcontrib><creatorcontrib>Meirhaeghe, Aline</creatorcontrib><creatorcontrib>Di Filippo, Mathilde</creatorcontrib><title>A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia</title><title>Translational research : the journal of laboratory and clinical medicine</title><addtitle>Transl Res</addtitle><description>Genetic diagnosis of familial hypercholesterolemia (FH) remains unexplained in 30 to 70% of patients after exclusion of monogenic disease. There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS) have been set up. However, the balance between their diagnosis performance and their practical use in routine practice is not clearly established. Consequently, we set up new PRS based on our routine panel for sequencing and compared their diagnostic performance with previously-published PRS. After a meta-analysis, four new PRS including 165 to 1633 SNP were setup using different softwares. They were established using two French control cohorts (MONA LISA n=1082 and FranceGenRef n=856). Then the explained LDL-c variance and the ability of each PRS to discriminate monogenic negative FH patients (M-) versus healthy controls were compared with 4 previously-described PRS in 785 unrelated FH patients. Between all PRS, the 165-SNP PRS developed with PLINK showed the best LDL-c explained variance (adjusted R²=0.19) and the best diagnosis abilities (AUROC=0.77, 95%CI=0.74-0.79): it significantly outperformed all the previously-published PRS (p<1 × 10−4). By using a cut-off at the 75th percentile, 61% of M- patients exhibited a polygenic hypercholesterolemia with the 165-SNP PRS versus 48% with the previously published 12-SNP PRS (p =3.3 × 10−6). These results were replicated using the UK biobank. This new 165-SNP PRS, usable in routine diagnosis, exhibits better diagnosis abilities for a polygenic hypercholesterolemia diagnosis. It would be a valuable tool to optimize referral for whole genome sequencing.</description><subject>APOB, apolipoprotein B</subject><subject>APOE, apolipoprotein E</subject><subject>Cholesterol, LDL - genetics</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Hypercholesterolemia - diagnosis</subject><subject>Hypercholesterolemia - genetics</subject><subject>Hyperlipoproteinemia Type II - diagnosis</subject><subject>Hyperlipoproteinemia Type II - genetics</subject><subject>LDLR, low density lipoprotein receptor</subject><subject>Life Sciences</subject><subject>Mutation</subject><subject>PCSK9, proprotein convertase subtilisin/kexin type 9</subject><subject>Proprotein Convertase 9 - genetics</subject><subject>Receptors, LDL - genetics</subject><subject>Risk Factors</subject><issn>1931-5244</issn><issn>1878-1810</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kcuO0zAUhiMEYoaBF2CBvIRFim9xU4lNNQIGqQIkYG25zkl7ihMHH7dDX5GnwqXDiBUr377z2T5_VT0XfCa4MK93s5wozCSXcibkjHP5oLoU7bytRSv4wzJfKFE3UuuL6gnRjnNtFlw_ri6UaWSrNL-sfi3ZCLdMmKb-8vEzC_G27mAkzEcWcIpTihlwZH4bA1CGFAObYjhuYETPEtJ3Rj4mYGtH0LE4FtvPzMoxJJexrAl-7GH0OG5Y3OcJUh_TQGxKcMC4p3Bk034dkLal_I-KWLkvFRZHYB26zRgpoycWe9a7AQO6wLbHYvrnUTCge1o96l0geHY3XlXf3r39en1Trz69_3C9XNVeK51rUKoRBpQvEw281SCNW_t1u2iN4AaMB849dKZTQjrwErRa9N5BA_3czRfqqnp19m5dsFPCwaWjjQ7tzXJlT3tci7lsOD-Iwr48s6WRpQ-U7YDkIQQ3Qvm9lfOmaVohjCqoPKM-RaIE_b1bcHvK2-7sKW97ytsKaUvepejFnX-_HqC7L_kbcAHenAEoHTkgJEseSx7QYQKfbRfxf_7fzTHCrQ</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Vanhoye, Xavier</creator><creator>Bardel, Claire</creator><creator>Rimbert, Antoine</creator><creator>Moulin, Philippe</creator><creator>Rollat-Farnier, Pierre-Antoine</creator><creator>Muntaner, Manon</creator><creator>Marmontel, Oriane</creator><creator>Dumont, Sabrina</creator><creator>Charrière, Sybil</creator><creator>Cornélis, François</creator><creator>Ducluzeau, Pierre Henri</creator><creator>Fonteille, Annie</creator><creator>Nobecourt, Estelle</creator><creator>Peretti, Noël</creator><creator>Schillo, Franck</creator><creator>Wargny, Matthieu</creator><creator>Cariou, Bertrand</creator><creator>Meirhaeghe, Aline</creator><creator>Di Filippo, Mathilde</creator><general>Elsevier Inc</general><general>Elsevier</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>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-6206-5908</orcidid><orcidid>https://orcid.org/0000-0002-2971-4926</orcidid><orcidid>https://orcid.org/0000-0001-7427-0108</orcidid></search><sort><creationdate>202305</creationdate><title>A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia</title><author>Vanhoye, Xavier ; Bardel, Claire ; Rimbert, Antoine ; Moulin, Philippe ; Rollat-Farnier, Pierre-Antoine ; Muntaner, Manon ; Marmontel, Oriane ; Dumont, Sabrina ; Charrière, Sybil ; Cornélis, François ; Ducluzeau, Pierre Henri ; Fonteille, Annie ; Nobecourt, Estelle ; Peretti, Noël ; Schillo, Franck ; Wargny, Matthieu ; Cariou, Bertrand ; Meirhaeghe, Aline ; Di Filippo, Mathilde</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-e33516e3ce334e084e26abcb8986106e6ce00ced6d312aec2e439fcae5ef7a793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>APOB, apolipoprotein B</topic><topic>APOE, apolipoprotein E</topic><topic>Cholesterol, LDL - genetics</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Hypercholesterolemia - diagnosis</topic><topic>Hypercholesterolemia - genetics</topic><topic>Hyperlipoproteinemia Type II - diagnosis</topic><topic>Hyperlipoproteinemia Type II - genetics</topic><topic>LDLR, low density lipoprotein receptor</topic><topic>Life Sciences</topic><topic>Mutation</topic><topic>PCSK9, proprotein convertase subtilisin/kexin type 9</topic><topic>Proprotein Convertase 9 - genetics</topic><topic>Receptors, LDL - genetics</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vanhoye, Xavier</creatorcontrib><creatorcontrib>Bardel, Claire</creatorcontrib><creatorcontrib>Rimbert, Antoine</creatorcontrib><creatorcontrib>Moulin, Philippe</creatorcontrib><creatorcontrib>Rollat-Farnier, Pierre-Antoine</creatorcontrib><creatorcontrib>Muntaner, Manon</creatorcontrib><creatorcontrib>Marmontel, Oriane</creatorcontrib><creatorcontrib>Dumont, Sabrina</creatorcontrib><creatorcontrib>Charrière, Sybil</creatorcontrib><creatorcontrib>Cornélis, François</creatorcontrib><creatorcontrib>Ducluzeau, Pierre Henri</creatorcontrib><creatorcontrib>Fonteille, Annie</creatorcontrib><creatorcontrib>Nobecourt, Estelle</creatorcontrib><creatorcontrib>Peretti, Noël</creatorcontrib><creatorcontrib>Schillo, Franck</creatorcontrib><creatorcontrib>Wargny, Matthieu</creatorcontrib><creatorcontrib>Cariou, Bertrand</creatorcontrib><creatorcontrib>Meirhaeghe, Aline</creatorcontrib><creatorcontrib>Di Filippo, Mathilde</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Translational research : the journal of laboratory and clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vanhoye, Xavier</au><au>Bardel, Claire</au><au>Rimbert, Antoine</au><au>Moulin, Philippe</au><au>Rollat-Farnier, Pierre-Antoine</au><au>Muntaner, Manon</au><au>Marmontel, Oriane</au><au>Dumont, Sabrina</au><au>Charrière, Sybil</au><au>Cornélis, François</au><au>Ducluzeau, Pierre Henri</au><au>Fonteille, Annie</au><au>Nobecourt, Estelle</au><au>Peretti, Noël</au><au>Schillo, Franck</au><au>Wargny, Matthieu</au><au>Cariou, Bertrand</au><au>Meirhaeghe, Aline</au><au>Di Filippo, Mathilde</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia</atitle><jtitle>Translational research : the journal of laboratory and clinical medicine</jtitle><addtitle>Transl Res</addtitle><date>2023-05</date><risdate>2023</risdate><volume>255</volume><spage>119</spage><epage>127</epage><pages>119-127</pages><issn>1931-5244</issn><eissn>1878-1810</eissn><abstract>Genetic diagnosis of familial hypercholesterolemia (FH) remains unexplained in 30 to 70% of patients after exclusion of monogenic disease. There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS) have been set up. However, the balance between their diagnosis performance and their practical use in routine practice is not clearly established. Consequently, we set up new PRS based on our routine panel for sequencing and compared their diagnostic performance with previously-published PRS. After a meta-analysis, four new PRS including 165 to 1633 SNP were setup using different softwares. They were established using two French control cohorts (MONA LISA n=1082 and FranceGenRef n=856). Then the explained LDL-c variance and the ability of each PRS to discriminate monogenic negative FH patients (M-) versus healthy controls were compared with 4 previously-described PRS in 785 unrelated FH patients. Between all PRS, the 165-SNP PRS developed with PLINK showed the best LDL-c explained variance (adjusted R²=0.19) and the best diagnosis abilities (AUROC=0.77, 95%CI=0.74-0.79): it significantly outperformed all the previously-published PRS (p<1 × 10−4). By using a cut-off at the 75th percentile, 61% of M- patients exhibited a polygenic hypercholesterolemia with the 165-SNP PRS versus 48% with the previously published 12-SNP PRS (p =3.3 × 10−6). These results were replicated using the UK biobank. This new 165-SNP PRS, usable in routine diagnosis, exhibits better diagnosis abilities for a polygenic hypercholesterolemia diagnosis. It would be a valuable tool to optimize referral for whole genome sequencing.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36528340</pmid><doi>10.1016/j.trsl.2022.12.002</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-6206-5908</orcidid><orcidid>https://orcid.org/0000-0002-2971-4926</orcidid><orcidid>https://orcid.org/0000-0001-7427-0108</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | APOB, apolipoprotein B APOE, apolipoprotein E Cholesterol, LDL - genetics High-Throughput Nucleotide Sequencing Humans Hypercholesterolemia - diagnosis Hypercholesterolemia - genetics Hyperlipoproteinemia Type II - diagnosis Hyperlipoproteinemia Type II - genetics LDLR, low density lipoprotein receptor Life Sciences Mutation PCSK9, proprotein convertase subtilisin/kexin type 9 Proprotein Convertase 9 - genetics Receptors, LDL - genetics Risk Factors |
title | A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia |
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