Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals
Incidence rates of Mendelian diseases vary among ethnic groups, and frequencies of variant types of causative genes also vary among human populations. In this study, we examined to what extent we can predict population frequencies of recessive disorders from genomic data, and explored better strateg...
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Veröffentlicht in: | Human genetics 2019-04, Vol.138 (4), p.389-409 |
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creator | Yamaguchi-Kabata, Yumi Yasuda, Jun Uruno, Akira Shimokawa, Kazuro Koshiba, Seizo Suzuki, Yoichi Fuse, Nobuo Kawame, Hiroshi Tadaka, Shu Nagasaki, Masao Kojima, Kaname Katsuoka, Fumiki Kumada, Kazuki Tanabe, Osamu Tamiya, Gen Yaegashi, Nobuo Kinoshita, Kengo Yamamoto, Masayuki Kure, Shigeo |
description | Incidence rates of Mendelian diseases vary among ethnic groups, and frequencies of variant types of causative genes also vary among human populations. In this study, we examined to what extent we can predict population frequencies of recessive disorders from genomic data, and explored better strategies for variant interpretation and classification. We used a whole-genome reference panel from 3552 general Japanese individuals constructed by the Tohoku Medical Megabank Organization (ToMMo). Focusing on 32 genes for 17 congenital metabolic disorders included in newborn screening (NBS) in Japan, we identified reported and predicted pathogenic variants through variant annotation, interpretation, and multiple ways of classifications. The estimated carrier frequencies were compared with those from the Japanese NBS data based on 1,949,987 newborns from a previous study. The estimated carrier frequency based on genomic data with a recent guideline of variant interpretation for the
PAH
gene, in which defects cause hyperphenylalaninemia (HPA) and phenylketonuria (PKU), provided a closer estimate to that by the observed incidence than the other methods. In contrast, the estimated carrier frequencies for
SLC25A13
, which causes citrin deficiency, were much higher compared with the incidence rate. The results varied greatly among the 11 NBS diseases with single responsible genes; the possible reasons for departures from the carrier frequencies by reported incidence rates were discussed. Of note, (1) the number of pathogenic variants increases by including additional lines of evidence, (2) common variants with mild effects also contribute to the actual frequency of patients, and (3) penetrance of each variant remains unclear. |
doi_str_mv | 10.1007/s00439-019-01998-7 |
format | Article |
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PAH
gene, in which defects cause hyperphenylalaninemia (HPA) and phenylketonuria (PKU), provided a closer estimate to that by the observed incidence than the other methods. In contrast, the estimated carrier frequencies for
SLC25A13
, which causes citrin deficiency, were much higher compared with the incidence rate. The results varied greatly among the 11 NBS diseases with single responsible genes; the possible reasons for departures from the carrier frequencies by reported incidence rates were discussed. Of note, (1) the number of pathogenic variants increases by including additional lines of evidence, (2) common variants with mild effects also contribute to the actual frequency of patients, and (3) penetrance of each variant remains unclear.</description><identifier>ISSN: 0340-6717</identifier><identifier>EISSN: 1432-1203</identifier><identifier>DOI: 10.1007/s00439-019-01998-7</identifier><identifier>PMID: 30887117</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Gene Function ; Genes ; Genetic disorders ; Genetics ; Genomes ; Genomics ; Human Genetics ; Medical research ; Medical screening ; Metabolic Diseases ; Metabolic disorders ; Minority & ethnic groups ; Molecular Medicine ; Neonates ; Newborn infants ; Original Investigation ; PaH gene ; Phenylketonuria ; Population studies ; Professional associations</subject><ispartof>Human genetics, 2019-04, Vol.138 (4), p.389-409</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Human Genetics is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-e4ea6c335542a07eef52743217cfd16fb3ad481dc27f462622fe48bead6a64823</citedby><cites>FETCH-LOGICAL-c542t-e4ea6c335542a07eef52743217cfd16fb3ad481dc27f462622fe48bead6a64823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00439-019-01998-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00439-019-01998-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27902,27903,41466,42535,51296</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30887117$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yamaguchi-Kabata, Yumi</creatorcontrib><creatorcontrib>Yasuda, Jun</creatorcontrib><creatorcontrib>Uruno, Akira</creatorcontrib><creatorcontrib>Shimokawa, Kazuro</creatorcontrib><creatorcontrib>Koshiba, Seizo</creatorcontrib><creatorcontrib>Suzuki, Yoichi</creatorcontrib><creatorcontrib>Fuse, Nobuo</creatorcontrib><creatorcontrib>Kawame, Hiroshi</creatorcontrib><creatorcontrib>Tadaka, Shu</creatorcontrib><creatorcontrib>Nagasaki, Masao</creatorcontrib><creatorcontrib>Kojima, Kaname</creatorcontrib><creatorcontrib>Katsuoka, Fumiki</creatorcontrib><creatorcontrib>Kumada, Kazuki</creatorcontrib><creatorcontrib>Tanabe, Osamu</creatorcontrib><creatorcontrib>Tamiya, Gen</creatorcontrib><creatorcontrib>Yaegashi, Nobuo</creatorcontrib><creatorcontrib>Kinoshita, Kengo</creatorcontrib><creatorcontrib>Yamamoto, Masayuki</creatorcontrib><creatorcontrib>Kure, Shigeo</creatorcontrib><creatorcontrib>Tohoku Medical Megabank Project Study Group</creatorcontrib><creatorcontrib>The Tohoku Medical Megabank Project Study Group</creatorcontrib><title>Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals</title><title>Human genetics</title><addtitle>Hum Genet</addtitle><addtitle>Hum Genet</addtitle><description>Incidence rates of Mendelian diseases vary among ethnic groups, and frequencies of variant types of causative genes also vary among human populations. In this study, we examined to what extent we can predict population frequencies of recessive disorders from genomic data, and explored better strategies for variant interpretation and classification. We used a whole-genome reference panel from 3552 general Japanese individuals constructed by the Tohoku Medical Megabank Organization (ToMMo). Focusing on 32 genes for 17 congenital metabolic disorders included in newborn screening (NBS) in Japan, we identified reported and predicted pathogenic variants through variant annotation, interpretation, and multiple ways of classifications. The estimated carrier frequencies were compared with those from the Japanese NBS data based on 1,949,987 newborns from a previous study. The estimated carrier frequency based on genomic data with a recent guideline of variant interpretation for the
PAH
gene, in which defects cause hyperphenylalaninemia (HPA) and phenylketonuria (PKU), provided a closer estimate to that by the observed incidence than the other methods. In contrast, the estimated carrier frequencies for
SLC25A13
, which causes citrin deficiency, were much higher compared with the incidence rate. The results varied greatly among the 11 NBS diseases with single responsible genes; the possible reasons for departures from the carrier frequencies by reported incidence rates were discussed. Of note, (1) the number of pathogenic variants increases by including additional lines of evidence, (2) common variants with mild effects also contribute to the actual frequency of patients, and (3) penetrance of each variant remains unclear.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Gene Function</subject><subject>Genes</subject><subject>Genetic disorders</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Human Genetics</subject><subject>Medical research</subject><subject>Medical screening</subject><subject>Metabolic Diseases</subject><subject>Metabolic disorders</subject><subject>Minority & ethnic groups</subject><subject>Molecular Medicine</subject><subject>Neonates</subject><subject>Newborn infants</subject><subject>Original Investigation</subject><subject>PaH gene</subject><subject>Phenylketonuria</subject><subject>Population studies</subject><subject>Professional 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whole-genome reference panel of 3552 Japanese individuals</title><author>Yamaguchi-Kabata, Yumi ; Yasuda, Jun ; Uruno, Akira ; Shimokawa, Kazuro ; Koshiba, Seizo ; Suzuki, Yoichi ; Fuse, Nobuo ; Kawame, Hiroshi ; Tadaka, Shu ; Nagasaki, Masao ; Kojima, Kaname ; Katsuoka, Fumiki ; Kumada, Kazuki ; Tanabe, Osamu ; Tamiya, Gen ; Yaegashi, Nobuo ; Kinoshita, Kengo ; Yamamoto, Masayuki ; Kure, Shigeo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c542t-e4ea6c335542a07eef52743217cfd16fb3ad481dc27f462622fe48bead6a64823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Gene Function</topic><topic>Genes</topic><topic>Genetic disorders</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Human Genetics</topic><topic>Medical research</topic><topic>Medical 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yamaguchi-Kabata, Yumi</au><au>Yasuda, Jun</au><au>Uruno, Akira</au><au>Shimokawa, Kazuro</au><au>Koshiba, Seizo</au><au>Suzuki, Yoichi</au><au>Fuse, Nobuo</au><au>Kawame, Hiroshi</au><au>Tadaka, Shu</au><au>Nagasaki, Masao</au><au>Kojima, Kaname</au><au>Katsuoka, Fumiki</au><au>Kumada, Kazuki</au><au>Tanabe, Osamu</au><au>Tamiya, Gen</au><au>Yaegashi, Nobuo</au><au>Kinoshita, Kengo</au><au>Yamamoto, Masayuki</au><au>Kure, Shigeo</au><aucorp>Tohoku Medical Megabank Project Study Group</aucorp><aucorp>The Tohoku Medical Megabank Project Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals</atitle><jtitle>Human genetics</jtitle><stitle>Hum Genet</stitle><addtitle>Hum Genet</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>138</volume><issue>4</issue><spage>389</spage><epage>409</epage><pages>389-409</pages><issn>0340-6717</issn><eissn>1432-1203</eissn><abstract>Incidence rates of Mendelian diseases vary among ethnic groups, and frequencies of variant types of causative genes also vary among human populations. In this study, we examined to what extent we can predict population frequencies of recessive disorders from genomic data, and explored better strategies for variant interpretation and classification. We used a whole-genome reference panel from 3552 general Japanese individuals constructed by the Tohoku Medical Megabank Organization (ToMMo). Focusing on 32 genes for 17 congenital metabolic disorders included in newborn screening (NBS) in Japan, we identified reported and predicted pathogenic variants through variant annotation, interpretation, and multiple ways of classifications. The estimated carrier frequencies were compared with those from the Japanese NBS data based on 1,949,987 newborns from a previous study. The estimated carrier frequency based on genomic data with a recent guideline of variant interpretation for the
PAH
gene, in which defects cause hyperphenylalaninemia (HPA) and phenylketonuria (PKU), provided a closer estimate to that by the observed incidence than the other methods. In contrast, the estimated carrier frequencies for
SLC25A13
, which causes citrin deficiency, were much higher compared with the incidence rate. The results varied greatly among the 11 NBS diseases with single responsible genes; the possible reasons for departures from the carrier frequencies by reported incidence rates were discussed. Of note, (1) the number of pathogenic variants increases by including additional lines of evidence, (2) common variants with mild effects also contribute to the actual frequency of patients, and (3) penetrance of each variant remains unclear.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30887117</pmid><doi>10.1007/s00439-019-01998-7</doi><tpages>21</tpages></addata></record> |
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subjects | Biomedical and Life Sciences Biomedicine Gene Function Genes Genetic disorders Genetics Genomes Genomics Human Genetics Medical research Medical screening Metabolic Diseases Metabolic disorders Minority & ethnic groups Molecular Medicine Neonates Newborn infants Original Investigation PaH gene Phenylketonuria Population studies Professional associations |
title | Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals |
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