Update on the predictability of tall stature from DNA markers in Europeans
•Current forensic DNA phenotyping focuses on pigmentation traits.•Update on DNA predictability of tall stature in Europeans is presented.•689 SNPs provided AUC of 0.79, while a subset of 412 SNPs achieved 0.76.•New models improved prediction accuracy compared to previous ones. Predicting adult heigh...
Uloženo v:
| Vydáno v: | Forensic science international : genetics Ročník 42; s. 8 - 13 |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Netherlands
Elsevier B.V
01.09.2019
|
| Témata: | |
| ISSN: | 1872-4973, 1878-0326, 1878-0326 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •Current forensic DNA phenotyping focuses on pigmentation traits.•Update on DNA predictability of tall stature in Europeans is presented.•689 SNPs provided AUC of 0.79, while a subset of 412 SNPs achieved 0.76.•New models improved prediction accuracy compared to previous ones.
Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data from 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded a mid-ranged accuracy (AUC = 0.75 for binary prediction of tall stature and R2 = 0.12 for quantitative prediction of adult height). Here, we provide an update on DNA-based height predictability considering an enlarged list of subsequently-published height-associated SNPs using data from the same set of 10,361 Europeans. A prediction model based on the full set of 689 SNPs showed an improved accuracy relative to previous models for both tall stature (AUC = 0.79) and quantitative height (R2 = 0.21). A feature selection analysis revealed a subset of 412 most informative SNPs while the corresponding prediction model retained most of the accuracy (AUC = 0.76 and R2 = 0.19) achieved with the full model. Over all, our study empirically exemplifies that the accuracy for predicting human appearance phenotypes with very complex underlying genetic architectures, such as adult height, can be improved by increasing the number of phenotype-associated DNA variants. Our work also demonstrates that a careful sub-selection allows for a considerable reduction of the number of DNA predictors that achieve similar prediction accuracy as provided by the full set. This is forensically relevant due to restrictions in the number of SNPs simultaneously analyzable with forensically suitable DNA technologies in the current days of targeted massively parallel sequencing in forensic genetics. |
|---|---|
| AbstractList | Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data from 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded a mid-ranged accuracy (AUC = 0.75 for binary prediction of tall stature and R
= 0.12 for quantitative prediction of adult height). Here, we provide an update on DNA-based height predictability considering an enlarged list of subsequently-published height-associated SNPs using data from the same set of 10,361 Europeans. A prediction model based on the full set of 689 SNPs showed an improved accuracy relative to previous models for both tall stature (AUC = 0.79) and quantitative height (R
= 0.21). A feature selection analysis revealed a subset of 412 most informative SNPs while the corresponding prediction model retained most of the accuracy (AUC = 0.76 and R
= 0.19) achieved with the full model. Over all, our study empirically exemplifies that the accuracy for predicting human appearance phenotypes with very complex underlying genetic architectures, such as adult height, can be improved by increasing the number of phenotype-associated DNA variants. Our work also demonstrates that a careful sub-selection allows for a considerable reduction of the number of DNA predictors that achieve similar prediction accuracy as provided by the full set. This is forensically relevant due to restrictions in the number of SNPs simultaneously analyzable with forensically suitable DNA technologies in the current days of targeted massively parallel sequencing in forensic genetics. •Current forensic DNA phenotyping focuses on pigmentation traits.•Update on DNA predictability of tall stature in Europeans is presented.•689 SNPs provided AUC of 0.79, while a subset of 412 SNPs achieved 0.76.•New models improved prediction accuracy compared to previous ones. Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data from 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded a mid-ranged accuracy (AUC = 0.75 for binary prediction of tall stature and R2 = 0.12 for quantitative prediction of adult height). Here, we provide an update on DNA-based height predictability considering an enlarged list of subsequently-published height-associated SNPs using data from the same set of 10,361 Europeans. A prediction model based on the full set of 689 SNPs showed an improved accuracy relative to previous models for both tall stature (AUC = 0.79) and quantitative height (R2 = 0.21). A feature selection analysis revealed a subset of 412 most informative SNPs while the corresponding prediction model retained most of the accuracy (AUC = 0.76 and R2 = 0.19) achieved with the full model. Over all, our study empirically exemplifies that the accuracy for predicting human appearance phenotypes with very complex underlying genetic architectures, such as adult height, can be improved by increasing the number of phenotype-associated DNA variants. Our work also demonstrates that a careful sub-selection allows for a considerable reduction of the number of DNA predictors that achieve similar prediction accuracy as provided by the full set. This is forensically relevant due to restrictions in the number of SNPs simultaneously analyzable with forensically suitable DNA technologies in the current days of targeted massively parallel sequencing in forensic genetics. Highlights•Current forensic DNA phenotyping focuses on pigmentation traits. •Update on DNA predictability of tall stature in Europeans is presented. •689 SNPs provided AUC of 0.79, while a subset of 412 SNPs achieved 0.76. •New models improved prediction accuracy compared to previous ones. Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data from 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded a mid-ranged accuracy (AUC = 0.75 for binary prediction of tall stature and R2 = 0.12 for quantitative prediction of adult height). Here, we provide an update on DNA-based height predictability considering an enlarged list of subsequently-published height-associated SNPs using data from the same set of 10,361 Europeans. A prediction model based on the full set of 689 SNPs showed an improved accuracy relative to previous models for both tall stature (AUC = 0.79) and quantitative height (R2 = 0.21). A feature selection analysis revealed a subset of 412 most informative SNPs while the corresponding prediction model retained most of the accuracy (AUC = 0.76 and R2 = 0.19) achieved with the full model. Over all, our study empirically exemplifies that the accuracy for predicting human appearance phenotypes with very complex underlying genetic architectures, such as adult height, can be improved by increasing the number of phenotype-associated DNA variants. Our work also demonstrates that a careful sub-selection allows for a considerable reduction of the number of DNA predictors that achieve similar prediction accuracy as provided by the full set. This is forensically relevant due to restrictions in the number of SNPs simultaneously analyzable with forensically suitable DNA technologies in the current days of targeted massively parallel sequencing in forensic genetics.Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data from 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded a mid-ranged accuracy (AUC = 0.75 for binary prediction of tall stature and R2 = 0.12 for quantitative prediction of adult height). Here, we provide an update on DNA-based height predictability considering an enlarged list of subsequently-published height-associated SNPs using data from the same set of 10,361 Europeans. A prediction model based on the full set of 689 SNPs showed an improved accuracy relative to previous models for both tall stature (AUC = 0.79) and quantitative height (R2 = 0.21). A feature selection analysis revealed a subset of 412 most informative SNPs while the corresponding prediction model retained most of the accuracy (AUC = 0.76 and R2 = 0.19) achieved with the full model. Over all, our study empirically exemplifies that the accuracy for predicting human appearance phenotypes with very complex underlying genetic architectures, such as adult height, can be improved by increasing the number of phenotype-associated DNA variants. Our work also demonstrates that a careful sub-selection allows for a considerable reduction of the number of DNA predictors that achieve similar prediction accuracy as provided by the full set. This is forensically relevant due to restrictions in the number of SNPs simultaneously analyzable with forensically suitable DNA technologies in the current days of targeted massively parallel sequencing in forensic genetics. |
| Author | Uitterlinden, André G. Zhong, Kaiyin Jing, Xiaoxi Hendriks, A. Emile J. Drop, Stenvert L.S. Kayser, Manfred Liu, Fan |
| Author_xml | – sequence: 1 givenname: Fan surname: Liu fullname: Liu, Fan email: liufan@big.ac.cn organization: CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China – sequence: 2 givenname: Kaiyin surname: Zhong fullname: Zhong, Kaiyin email: kindlychung@gmail.com organization: Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands – sequence: 3 givenname: Xiaoxi surname: Jing fullname: Jing, Xiaoxi email: jingxiaoxi@big.ac.cn organization: CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China – sequence: 4 givenname: André G. surname: Uitterlinden fullname: Uitterlinden, André G. email: a.g.uitterlinden@erasmusmc.nl organization: Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands – sequence: 5 givenname: A. Emile J. surname: Hendriks fullname: Hendriks, A. Emile J. email: a.e.j.hendriks@erasmusmc.nl organization: Department of Pediatrics, Pediatric Endocrinology and Diabetes, University of Cambridge, United Kingdom – sequence: 6 givenname: Stenvert L.S. surname: Drop fullname: Drop, Stenvert L.S. email: s.drop@chello.nl organization: Department of Pediatrics, Division of Endocrinology, Sophia Children’s Hospital, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands – sequence: 7 givenname: Manfred surname: Kayser fullname: Kayser, Manfred email: m.kayser@erasmusmc.nl organization: Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31207428$$D View this record in MEDLINE/PubMed |
| BookMark | eNqVkk1vFSEUhompsR_6D4xh6WZGYICZMcakqfUrjS60a8LAQbmdC7fAmNx_L-OtLkxM44IcFu_7Hs7DOUVHIQZA6CklLSVUvti0LvtvEFpG6NgS0RIiH6ATOvRDQzomj37dWcPHvjtGpzlvCBFjT8UjdNxRRnrOhhP08XpndQEcAy7fAe8SWG-Knvzsyx5Hh4ueZ5yLLksC7FLc4jefzvFWpxtIGfuAL5cUd6BDfoweOj1neHJXz9D128uvF--bq8_vPlycXzVGUFmaiUDHJ2l6LbURjlvCRw29JMYJO3TMdV1PAUZOrJ4450xYYaUTXEzWCdl3Z-j5IXeX4u0CuaitzwbmWQeIS1aM1cmoHPtV-uxOukxbsGqXfH35Xv2evwr4QWBSzDmB-yOhRK2Y1UYdMKsVsyJCVczV9vIvm_EVkY-hJO3n-8yvD2aokH54SCobD8FU8glMUTb6_w0wsw_e6PkG9pA3cUmhfoCiKjNF1Jd1DdYtoENHRD014NW_A-7v_xOtWsN_ |
| CitedBy_id | crossref_primary_10_3390_genes11060708 crossref_primary_10_1016_j_fsigen_2020_102301 crossref_primary_10_1016_j_fsigen_2022_102675 crossref_primary_10_3390_biom15050713 crossref_primary_10_3390_ijms25084230 crossref_primary_10_1093_fsr_owae013 crossref_primary_10_1016_j_fsisyn_2025_100586 crossref_primary_10_1016_j_fsigen_2023_102870 crossref_primary_10_1016_j_jflm_2022_102351 crossref_primary_10_1016_j_banm_2021_01_021 crossref_primary_10_3390_genes13010121 crossref_primary_10_1186_s12934_023_02255_3 crossref_primary_10_52586_4991 |
| Cites_doi | 10.1093/hmg/ddy271 10.1007/s00439-013-1394-0 10.1016/j.fsigen.2019.04.001 10.1038/ejhg.2009.5 10.1534/genetics.118.301267 10.1038/nature14558 10.1016/j.fsigen.2015.02.003 10.3390/genes9010049 10.1038/nature14317 10.1016/j.fsigen.2013.12.006 10.1186/gb-2011-12-9-r94 10.1016/j.cub.2009.01.027 10.1007/s00439-017-1808-5 10.1038/s41588-018-0100-5 10.1038/ng.3097 10.1098/rsnr.1976.0005 10.1002/humu.22905 10.1086/321287 10.1038/nature21039 10.1007/s00439-010-0939-8 10.1371/journal.pgen.1006594 10.1371/journal.pone.0127852 10.1038/s41467-018-04086-y 10.1016/j.fsigen.2018.08.017 10.1016/j.fsigen.2010.02.004 10.1007/s10654-017-0321-4 10.1093/hmg/ddx416 10.1007/s00439-006-0240-z 10.1002/humu.22713 10.1093/gerona/50A.4.B237 10.1016/j.fsigen.2015.02.002 10.1375/136905203770326402 10.1016/j.fsigen.2015.09.004 10.1038/ng1607 10.1371/journal.pgen.1002932 10.1038/nature09410 10.1016/j.fsigen.2012.07.005 10.1038/ncomms14694 |
| ContentType | Journal Article |
| Copyright | 2019 The Authors The Authors Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved. |
| Copyright_xml | – notice: 2019 The Authors – notice: The Authors – notice: Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved. |
| DBID | 6I. AAFTH AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1016/j.fsigen.2019.05.006 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Public Health |
| EISSN | 1878-0326 |
| EndPage | 13 |
| ExternalDocumentID | 31207428 10_1016_j_fsigen_2019_05_006 S1872497318305830 1_s2_0_S1872497318305830 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | --- --K --M .1- .FO .~1 0R~ 1B1 1P~ 1~. 1~5 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ AAEDT AAEDW AAFJI AAIKJ AAKOC AALRI AAOAW AAQFI AATTM AAXKI AAXUO AAYWO ABBQC ABGSF ABMAC ABMMH ABMZM ABUDA ABWVN ABXDB ACDAQ ACGFS ACIEU ACLOT ACRLP ACRPL ADBBV ADEZE ADMUD ADNMO ADUVX AEBSH AEHWI AEIPS AEKER AEVXI AFJKZ AFRHN AFTJW AFXIZ AGHFR AGUBO AGYEJ AIEXJ AIIUN AIKHN AITUG AJRQY AJUYK ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX AOMHK AVARZ AXJTR BKOJK BLXMC BNPGV CS3 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FIRID FNPLU FYGXN GBLVA HVGLF HZ~ IHE J1W KOM M41 MO0 N9A O-L O9- OAUVE OG0 OZT P-8 P-9 P2P PC. PRBVW Q38 RNS ROL RPZ SDF SDG SEL SES SSB SSH SSO SSU SSZ T5K ULE Z5R ~G- ~HD AACTN AFCTW AFKWA AJOXV AMFUW RIG 6I. AAFTH AAIAV ABLVK ABYKQ AJBFU AKYCK DOVZS LCYCR 9DU AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
| ID | FETCH-LOGICAL-c516t-b0e34b6c7a6ac5f4d049ae760cf5d832f3371ee940dab44425d5d6f545bdf5673 |
| ISICitedReferencesCount | 20 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000483955000007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1872-4973 1878-0326 |
| IngestDate | Wed Oct 01 14:15:43 EDT 2025 Wed Feb 19 02:31:53 EST 2025 Sat Nov 29 06:59:11 EST 2025 Tue Nov 18 21:43:44 EST 2025 Fri Feb 23 02:32:03 EST 2024 Tue Feb 25 19:54:07 EST 2025 Tue Oct 14 19:28:33 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Body height DNA prediction Tall stature Forensic DNA phenotyping |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c516t-b0e34b6c7a6ac5f4d049ae760cf5d832f3371ee940dab44425d5d6f545bdf5673 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://dx.doi.org/10.1016/j.fsigen.2019.05.006 |
| PMID | 31207428 |
| PQID | 2242816977 |
| PQPubID | 23479 |
| PageCount | 6 |
| ParticipantIDs | proquest_miscellaneous_2242816977 pubmed_primary_31207428 crossref_primary_10_1016_j_fsigen_2019_05_006 crossref_citationtrail_10_1016_j_fsigen_2019_05_006 elsevier_sciencedirect_doi_10_1016_j_fsigen_2019_05_006 elsevier_clinicalkeyesjournals_1_s2_0_S1872497318305830 elsevier_clinicalkey_doi_10_1016_j_fsigen_2019_05_006 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-09-01 |
| PublicationDateYYYYMMDD | 2019-09-01 |
| PublicationDate_xml | – month: 09 year: 2019 text: 2019-09-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Netherlands |
| PublicationPlace_xml | – name: Netherlands |
| PublicationTitle | Forensic science international : genetics |
| PublicationTitleAlternate | Forensic Sci Int Genet |
| PublicationYear | 2019 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Shih, Bose, Goncalves, Erlich, Calloway (bib0195) 2018; 9 Ikram, Brusselle, Murad, van Duijn, Franco, Goedegebure, Klaver, Nijsten, Peeters, Stricker, Tiemeier, Uitterlinden, Vernooij, Hofman (bib0135) 2017; 32 Kayser (bib0005) 2015; 18 Marcinska, Pospiech, Abidi, Andersen, van den Berge, Carracedo, Eduardoff, Marczakiewicz-Lustig, Morling, Sijen, Skowron, Sochtig, Syndercombe-Court, Weiler, Consortium, Schneider, Ballard, Borsting, Parson, Phillips, Branicki (bib0075) 2015; 10 Hagenaars, Hill, Harris, Ritchie, Davies, Liewald, Gale, Porteous, Deary, Marioni (bib0050) 2017; 13 Marouli, Graff, Medina-Gomez, Lo, Wood, Kjaer (bib0120) 2017; 542 Walsh, Chaitanya, Breslin, Muralidharan, Bronikowska, Pospiech, Koller, Kovatsi, Wollstein, Branicki, Liu, Kayser (bib0020) 2017; 136 Carmichael, McGue (bib0080) 1995; 50 Liu, Chen, Zhu, Hysi, Wu, Adhikari, Breslin, Pospiech, Hamer, Peng, Muralidharan, Acuna-Alonzo, Canizales-Quinteros, Bedoya, Gallo, Poletti, Rothhammer, Bortolini, Gonzalez-Jose, Zeng, Xu, Jin, Uitterlinden, Ikram, van Duijn, Nijsten, Walsh, Branicki, Wang, Ruiz-Linares, Spector, Martin, Medland, Kayser (bib0035) 2018; 27 Walsh, Liu, Wollstein, Kovatsi, Ralf, Kosiniak-Kamysz, Branicki, Kayser (bib0030) 2013; 7 Yengo, Sidorenko, Kemper, Zheng, Wood, Weedon, Frayling, Hirschhorn, Yang, Visscher, Consortium (bib0125) 2018; 27 Sulonen, Ellonen, Almusa, Lepisto, Eldfors, Hannula, Miettinen, Tyynismaa, Salo, Heckman, Joensuu, Raivio, Suomalainen, Saarela (bib0180) 2011; 12 Ralf, van Oven, Montiel González, de Knijff, van der Beek, Wootton, Lagacé, Kayser (bib0170) 2019 Walsh, Liu, Ballantyne, van Oven, Lao, Kayser (bib0025) 2011; 5 Hirschhorn, Lindgren, Daly, Kirby, Schaffner, Burtt, Altshuler, Parker, Rioux, Platko, Gaudet, Hudson, Groop, Lander (bib0095) 2001; 69 Liu, van Duijn, Vingerling, Hofman, Uitterlinden, Janssens, Kayser (bib0015) 2009; 19 Heilmann-Heimbach, Herold, Hochfeld, Hillmer, Nyholt, Hecker, Javed, Chew, Pechlivanis, Drichel, Heng, Del Rosario, Fier, Paus, Rueedi, Galesloot, Moebus, Anhalt, Prabhakar, Li, Kanoni, Papanikolaou, Kutalik, Deloukas, Philpott, Waeber, Spector, Vollenweider, Kiemeney, Dedoussis, Richards, Nothnagel, Martin, Becker, Hinds, Nothen (bib0040) 2017; 8 Chaitanya, Ralf, van Oven, Kupiec, Chang, Lagace, Kayser (bib0155) 2015; 36 Macgregor, Cornes, Martin, Visscher (bib0090) 2006; 120 Walsh, Chaitanya, Clarisse, Wirken, Draus-Barini, Kovatsi, Maeda, Ishikawa, Sijen, de Knijff, Branicki, Liu, Kayser (bib0150) 2014; 9 Lello, Avery, Tellier, Vazquez, de Los Campos, Hsu (bib0175) 2018; 210 Fu, Hajdinjak, Moldovan, Constantin, Mallick, Skoglund, Patterson, Rohland, Lazaridis, Nickel, Viola, Prufer, Meyer, Kelso, Reich, Paabo (bib0190) 2015; 524 Wood, Esko, Yang, Vedantam, Pers, Gustafsson (bib0115) 2014; 46 Aulchenko, Struchalin, Belonogova, Axenovich, Weedon, Hofman, Uitterlinden, Kayser, Oostra, van Duijn, Janssens, Borodin (bib0105) 2009; 17 Norton, Pearson (bib0140) 1976; 31 Hysi, Valdes, Liu, Furlotte, Evans, Bataille, Visconti, Hemani, McMahon, Ring, Smith, Duffy, Zhu, Gordon, Medland, Lin, Willemsen, Jan Hottenga, Vuckovic, Girotto, Gandin, Sala, Concas, Brumat, Gasparini, Toniolo, Cocca, Robino, Yazar, Hewitt, Chen, Zeng, Uitterlinden, Ikram, Hamer, van Duijn, Nijsten, Mackey, Falchi, Boomsma, Martin, Hinds, Kayser, Spector, C. International Visible Trait Genetics, C. International Visible Trait Genetics (bib0055) 2018; 50 Campbell, Ogburn, Lunetta, Lyon, Freedman, Groop, Altshuler, Ardlie, Hirschhorn (bib0100) 2005; 37 Lango Allen, Estrada, Lettre, Berndt, Weedon, Rivadeneira, Willer, Jackson, Vedantam, Raychaudhuri, Ferreira, Wood, Weyant, Segre, Speliotes, Wheeler, Soranzo, Park, Yang, Gudbjartsson, Heard-Costa, Randall, Qi, Vernon Smith, Magi, Pastinen, Liang, Heid, Luan, Thorleifsson, Winkler, Goddard, Sin Lo, Palmer, Workalemahu, Aulchenko, Johansson, Zillikens, Feitosa, Esko, Johnson, Ketkar, Kraft, Mangino, Prokopenko, Absher, Albrecht, Ernst, Glazer, Hayward, Hottenga, Jacobs, Knowles, Kutalik, Monda, Polasek, Preuss, Rayner, Robertson, Steinthorsdottir, Tyrer, Voight, Wiklund, Xu, Zhao, Nyholt, Pellikka, Perola, Perry, Surakka, Tammesoo, Altmaier, Amin, Aspelund, Bhangale, Boucher, Chasman, Chen, Coin, Cooper, Dixon, Gibson, Grundberg, Hao, Juhani Junttila, Kaplan, Kettunen, Konig, Kwan, Lawrence, Levinson, Lorentzon, McKnight, Morris, Muller, Suh Ngwa, Purcell, Rafelt, Salem, Salvi, Sanna, Shi, Sovio, Thompson, Turchin, Vandenput, Verlaan, Vitart, White, Ziegler, Almgren, Balmforth, Campbell, Citterio, De Grandi, Dominiczak, Duan, Elliott, Elosua, Eriksson, Freimer, Geus, Glorioso, Haiqing, Hartikainen, Havulinna, Hicks, Hui, Igl, Illig, Jula, Kajantie, Kilpelainen, Koiranen, Kolcic, Koskinen, Kovacs, Laitinen, Liu, Lokki, Marusic, Maschio, Meitinger, Mulas, Pare, Parker, Peden, Petersmann, Pichler, Pietilainen, Pouta, Ridderstrale, Rotter, Sambrook, Sanders, Schmidt, Sinisalo, Smit, Stringham, Bragi Walters, Widen, Wild, Willemsen, Zagato, Zgaga, Zitting, Alavere, Farrall, McArdle, Nelis, Peters, Ripatti, van Meurs, Aben, Ardlie, Beckmann, Beilby, Bergman, Bergmann, Collins, Cusi, den Heijer, Eiriksdottir, Gejman, Hall, Hamsten, Huikuri, Iribarren, Kahonen, Kaprio, Kathiresan, Kiemeney, Kocher, Launer, Lehtimaki, Melander, Mosley, Musk, Nieminen, O’Donnell, Ohlsson, Oostra, Palmer, Raitakari, Ridker, Rioux, Rissanen, Rivolta, Schunkert, Shuldiner, Siscovick, Stumvoll, Tonjes, Tuomilehto, van Ommen, Viikari, Heath, Martin, Montgomery, Province, Kayser, Arnold, Atwood, Boerwinkle, Chanock, Deloukas, Gieger, Gronberg, Hall, Hattersley, Hengstenberg, Hoffman, Lathrop, Salomaa, Schreiber, Uda, Waterworth, Wright, Assimes, Barroso, Hofman, Mohlke, Boomsma, Caulfield, Cupples, Erdmann, Fox, Gudnason, Gyllensten, Harris, Hayes, Jarvelin, Mooser, Munroe, Ouwehand, Penninx, Pramstaller, Quertermous, Rudan, Samani, Spector, Volzke, Watkins, Wilson, Groop, Haritunians, Hu, Kaplan, Metspalu, North, Schlessinger, Wareham, Hunter, O’Connell, Strachan, Wichmann, Borecki, van Duijn, Schadt, Thorsteinsdottir, Peltonen, Uitterlinden, Visscher, Chatterjee, Loos, Boehnke, McCarthy, Ingelsson, Lindgren, Abecasis, Stefansson, Frayling, Hirschhorn (bib0110) 2010; 467 Silventoinen, Sammalisto, Perola, Boomsma, Cornes, Davis, Dunkel, De Lange, Harris, Hjelmborg, Luciano, Martin, Mortensen, Nistico, Pedersen, Skytthe, Spector, Stazi, Willemsen, Kaprio (bib0145) 2003; 6 Branicki, Liu, van Duijn, Draus-Barini, Pospiech, Walsh, Kupiec, Wojas-Pelc, Kayser (bib0010) 2011; 129 Phillips, Matheny (bib0085) 1990; 39 Haak, Lazaridis, Patterson, Rohland, Mallick, Llamas, Brandt, Nordenfelt, Harney, Stewardson, Fu, Mittnik, Banffy, Economou, Francken, Friederich, Pena, Hallgren, Khartanovich, Khokhlov, Kunst, Kuznetsov, Meller, Mochalov, Moiseyev, Nicklisch, Pichler, Risch, Rojo Guerra, Roth, Szecsenyi-Nagy, Wahl, Meyer, Krause, Brown, Anthony, Cooper, Alt, Reich (bib0185) 2015; 522 Ralf, van Oven, Zhong, Kayser (bib0160) 2015; 36 Pospiech, Karlowska-Pik, Marcinska, Abidi, Andersen, Berge, Carracedo, Eduardoff, Freire-Aradas, Morling, Sijen, Skowron, Sochtig, Syndercombe-Court, Weiler, Schneider, Ballard, Borsting, Parson, Phillips, Branicki, Consortium (bib0070) 2015; 19 Liu, van der Lijn, Schurmann, Zhu, Chakravarty, Hysi, Wollstein, Lao, de Bruijne, Ikram, van der Lugt, Rivadeneira, Uitterlinden, Hofman, Niessen, Homuth, de Zubicaray, McMahon, Thompson, Daboul, Puls, Hegenscheid, Bevan, Pausova, Medland, Montgomery, Wright, Wicking, Boehringer, Spector, Paus, Martin, Biffar, Kayser (bib0045) 2012; 8 Borsting, Morling (bib0165) 2015; 18 Visconti, Duffy, Liu, Zhu, Wu, Chen, Hysi, Zeng, Sanna, Iles, Kanetsky, Demenais, Hamer, Uitterlinden, Ikram, Nijsten, Martin, Kayser, Spector, Han, Bataille, Falchi (bib0060) 2018; 9 Pospiech, Chen, Kukla-Bartoszek, Breslin, Aliferi, Andersen, Ballard, Chaitanya, Freire-Aradas, van der Gaag, Giron-Santamaria, Gross, Gysi, Huber, Mosquera-Miguel, Muralidharan, Skowron, Carracedo, Haas, Morling, Parson, Phillips, Schneider, Sijen, Syndercombe-Court, Vennemann, Wu, Xu, Jin, Wang, Zhu, Martin, Medland, Branicki, Walsh, Liu, Kayser, Consortium (bib0065) 2018; 37 Liu, Hendriks, Ralf, Boot, Benyi, Savendahl, Oostra, van Duijn, Hofman, Rivadeneira, Uitterlinden, Drop, Kayser (bib0130) 2014; 133 Walsh (10.1016/j.fsigen.2019.05.006_bib0150) 2014; 9 Walsh (10.1016/j.fsigen.2019.05.006_bib0030) 2013; 7 Shih (10.1016/j.fsigen.2019.05.006_bib0195) 2018; 9 Liu (10.1016/j.fsigen.2019.05.006_bib0045) 2012; 8 Campbell (10.1016/j.fsigen.2019.05.006_bib0100) 2005; 37 Lello (10.1016/j.fsigen.2019.05.006_bib0175) 2018; 210 Haak (10.1016/j.fsigen.2019.05.006_bib0185) 2015; 522 Marcinska (10.1016/j.fsigen.2019.05.006_bib0075) 2015; 10 Liu (10.1016/j.fsigen.2019.05.006_bib0130) 2014; 133 Norton (10.1016/j.fsigen.2019.05.006_bib0140) 1976; 31 Yengo (10.1016/j.fsigen.2019.05.006_bib0125) 2018; 27 Branicki (10.1016/j.fsigen.2019.05.006_bib0010) 2011; 129 Hysi (10.1016/j.fsigen.2019.05.006_bib0055) 2018; 50 Silventoinen (10.1016/j.fsigen.2019.05.006_bib0145) 2003; 6 Fu (10.1016/j.fsigen.2019.05.006_bib0190) 2015; 524 Kayser (10.1016/j.fsigen.2019.05.006_bib0005) 2015; 18 Hirschhorn (10.1016/j.fsigen.2019.05.006_bib0095) 2001; 69 Carmichael (10.1016/j.fsigen.2019.05.006_bib0080) 1995; 50 Marouli (10.1016/j.fsigen.2019.05.006_bib0120) 2017; 542 Pospiech (10.1016/j.fsigen.2019.05.006_bib0065) 2018; 37 Hagenaars (10.1016/j.fsigen.2019.05.006_bib0050) 2017; 13 Ralf (10.1016/j.fsigen.2019.05.006_bib0170) 2019 Visconti (10.1016/j.fsigen.2019.05.006_bib0060) 2018; 9 Walsh (10.1016/j.fsigen.2019.05.006_bib0020) 2017; 136 Sulonen (10.1016/j.fsigen.2019.05.006_bib0180) 2011; 12 Borsting (10.1016/j.fsigen.2019.05.006_bib0165) 2015; 18 Wood (10.1016/j.fsigen.2019.05.006_bib0115) 2014; 46 Aulchenko (10.1016/j.fsigen.2019.05.006_bib0105) 2009; 17 Walsh (10.1016/j.fsigen.2019.05.006_bib0025) 2011; 5 Pospiech (10.1016/j.fsigen.2019.05.006_bib0070) 2015; 19 Ralf (10.1016/j.fsigen.2019.05.006_bib0160) 2015; 36 Ikram (10.1016/j.fsigen.2019.05.006_bib0135) 2017; 32 Chaitanya (10.1016/j.fsigen.2019.05.006_bib0155) 2015; 36 Heilmann-Heimbach (10.1016/j.fsigen.2019.05.006_bib0040) 2017; 8 Lango Allen (10.1016/j.fsigen.2019.05.006_bib0110) 2010; 467 Phillips (10.1016/j.fsigen.2019.05.006_bib0085) 1990; 39 Macgregor (10.1016/j.fsigen.2019.05.006_bib0090) 2006; 120 Liu (10.1016/j.fsigen.2019.05.006_bib0035) 2018; 27 Liu (10.1016/j.fsigen.2019.05.006_bib0015) 2009; 19 |
| References_xml | – volume: 133 start-page: 587 year: 2014 end-page: 597 ident: bib0130 article-title: Common DNA variants predict tall stature in Europeans publication-title: Hum. Genet. – volume: 522 start-page: 207 year: 2015 end-page: 211 ident: bib0185 article-title: Massive migration from the steppe was a source for Indo-European languages in Europe publication-title: Nature – volume: 136 start-page: 847 year: 2017 end-page: 863 ident: bib0020 article-title: Global skin colour prediction from DNA publication-title: Hum. Genet. – volume: 210 start-page: 477 year: 2018 end-page: 497 ident: bib0175 article-title: Accurate genomic prediction of human height publication-title: Genetics – volume: 524 start-page: 216 year: 2015 end-page: 219 ident: bib0190 article-title: An early modern human from Romania with a recent Neanderthal ancestor publication-title: Nature – volume: 5 start-page: 170 year: 2011 end-page: 180 ident: bib0025 article-title: IrisPlex: a sensitive DNA tool for accurate prediction of blue and brown eye colour in the absence of ancestry information publication-title: Forensic Sci. Int. Genet. – volume: 39 start-page: 143 year: 1990 end-page: 163 ident: bib0085 article-title: Quantitative genetic analysis of longitudinal trends in height: preliminary results from the Louisville Twin Study publication-title: Acta Genet. Med. Gemellol. (Roma) – volume: 13 year: 2017 ident: bib0050 article-title: Genetic prediction of male pattern baldness publication-title: PLoS Genet. – volume: 18 start-page: 33 year: 2015 end-page: 48 ident: bib0005 article-title: Forensic DNA phenotyping: predicting human appearance from crime scene material for investigative purposes publication-title: Forensic Sci. Int. Genet. – volume: 18 start-page: 78 year: 2015 end-page: 89 ident: bib0165 article-title: Next generation sequencing and its applications in forensic genetics publication-title: Forensic Sci. Int. Genet. – volume: 120 start-page: 571 year: 2006 end-page: 580 ident: bib0090 article-title: Bias, precision and heritability of self-reported and clinically measured height in Australian twins publication-title: Hum. Genet. – volume: 50 start-page: 652 year: 2018 end-page: 656 ident: bib0055 article-title: Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability publication-title: Nat. Genet. – volume: 27 start-page: 559 year: 2018 end-page: 575 ident: bib0035 article-title: Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair publication-title: Hum. Mol. Genet. – volume: 19 start-page: R192 year: 2009 end-page: 3 ident: bib0015 article-title: Eye color and the prediction of complex phenotypes from genotypes publication-title: Curr. Biol. – volume: 32 start-page: 807 year: 2017 end-page: 850 ident: bib0135 article-title: The Rotterdam Study: 2018 update on objectives, design and main results publication-title: Eur. J. Epidemiol. – volume: 36 start-page: 151 year: 2015 end-page: 159 ident: bib0160 article-title: Simultaneous analysis of hundreds of Y-chromosomal SNPs for high-resolution paternal lineage classification using targeted semiconductor sequencing publication-title: Hum. Mutat. – year: 2019 ident: bib0170 article-title: Forensic Y-SNP analysis beyond SNaPshot: high-resolution Y-chromosomal haplogrouping from low quality and quantity DNA using Ion AmpliSeq and targeted massively parallel sequencing publication-title: Forensic Sci. Int. Genet. – volume: 69 start-page: 106 year: 2001 end-page: 116 ident: bib0095 article-title: Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height publication-title: Am. J. Hum. Genet. – volume: 36 start-page: 1236 year: 2015 end-page: 1247 ident: bib0155 article-title: Simultaneous whole mitochondrial genome sequencing with short overlapping amplicons suitable for degraded DNA using the ion torrent personal genome machine publication-title: Hum. Mutat. – volume: 129 start-page: 443 year: 2011 end-page: 454 ident: bib0010 article-title: Model-based prediction of human hair color using DNA variants publication-title: Hum. Genet. – volume: 12 start-page: R94 year: 2011 ident: bib0180 article-title: Comparison of solution-based exome capture methods for next generation sequencing publication-title: Genome Biol. – volume: 19 start-page: 280 year: 2015 end-page: 288 ident: bib0070 article-title: Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans publication-title: Forensic Sci. Int. Genet. – volume: 6 start-page: 399 year: 2003 end-page: 408 ident: bib0145 article-title: Heritability of adult body height: a comparative study of twin cohorts in eight countries publication-title: Twin Res. – volume: 9 year: 2018 ident: bib0195 article-title: Applications of probe capture enrichment next generation sequencing for whole mitochondrial genome and 426 nuclear SNPs for forensically challenging samples publication-title: Genes (Basel) – volume: 467 start-page: 832 year: 2010 end-page: 838 ident: bib0110 article-title: Hundreds of variants clustered in genomic loci and biological pathways affect human height publication-title: Nature – volume: 8 start-page: 14694 year: 2017 ident: bib0040 article-title: Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness publication-title: Nat. Commun. – volume: 37 start-page: 241 year: 2018 end-page: 251 ident: bib0065 article-title: Towards broadening forensic DNA phenotyping beyond pigmentation: improving the prediction of head hair shape from DNA publication-title: Forensic Sci. Int. Genet. – volume: 9 start-page: 150 year: 2014 end-page: 161 ident: bib0150 article-title: Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage publication-title: Forensic Sci. Int. Genet. – volume: 46 start-page: 1173 year: 2014 end-page: 1186 ident: bib0115 article-title: Defining the role of common variation in the genomic and biological architecture of adult human height publication-title: Nat. Genet. – volume: 50 start-page: B237 year: 1995 end-page: 44 ident: bib0080 article-title: A cross-sectional examination of height, weight, and body mass index in adult twins publication-title: J. Gerontol. A Biol. Sci. Med. Sci. – volume: 542 start-page: 186 year: 2017 end-page: 190 ident: bib0120 article-title: Rare and low-frequency coding variants alter human adult height publication-title: Nature – volume: 10 year: 2015 ident: bib0075 article-title: Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness publication-title: PLoS One – volume: 8 year: 2012 ident: bib0045 article-title: A genome-wide association study identifies five loci influencing facial morphology in Europeans publication-title: PLoS Genet. – volume: 27 start-page: 3641 year: 2018 end-page: 3649 ident: bib0125 article-title: Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry publication-title: Hum. Mol. Genet. – volume: 37 start-page: 868 year: 2005 end-page: 872 ident: bib0100 article-title: Demonstrating stratification in a European American population publication-title: Nat. Genet. – volume: 31 start-page: 151 year: 1976 end-page: 162 ident: bib0140 article-title: A note on the background to, and refereeing of, R. A. Fisher’s 1918 paper’ on the correlation between relatives on the supposition of Mendelian inheritance publication-title: Notes Rec. R. Soc. Lond. – volume: 7 start-page: 98 year: 2013 end-page: 115 ident: bib0030 article-title: The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA publication-title: Forensic Sci. Int. Genet. – volume: 9 start-page: 1684 year: 2018 ident: bib0060 article-title: Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure publication-title: Nat. Commun. – volume: 17 start-page: 1070 year: 2009 end-page: 1075 ident: bib0105 article-title: Predicting human height by Victorian and genomic methods publication-title: Eur. J. Hum. Genet. – volume: 27 start-page: 3641 issue: 20 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0125 article-title: Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddy271 – volume: 133 start-page: 587 issue: 5 year: 2014 ident: 10.1016/j.fsigen.2019.05.006_bib0130 article-title: Common DNA variants predict tall stature in Europeans publication-title: Hum. Genet. doi: 10.1007/s00439-013-1394-0 – year: 2019 ident: 10.1016/j.fsigen.2019.05.006_bib0170 article-title: Forensic Y-SNP analysis beyond SNaPshot: high-resolution Y-chromosomal haplogrouping from low quality and quantity DNA using Ion AmpliSeq and targeted massively parallel sequencing publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2019.04.001 – volume: 17 start-page: 1070 issue: 8 year: 2009 ident: 10.1016/j.fsigen.2019.05.006_bib0105 article-title: Predicting human height by Victorian and genomic methods publication-title: Eur. J. Hum. Genet. doi: 10.1038/ejhg.2009.5 – volume: 210 start-page: 477 issue: 2 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0175 article-title: Accurate genomic prediction of human height publication-title: Genetics doi: 10.1534/genetics.118.301267 – volume: 524 start-page: 216 issue: 7564 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0190 article-title: An early modern human from Romania with a recent Neanderthal ancestor publication-title: Nature doi: 10.1038/nature14558 – volume: 18 start-page: 33 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0005 article-title: Forensic DNA phenotyping: predicting human appearance from crime scene material for investigative purposes publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2015.02.003 – volume: 9 issue: 1 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0195 article-title: Applications of probe capture enrichment next generation sequencing for whole mitochondrial genome and 426 nuclear SNPs for forensically challenging samples publication-title: Genes (Basel) doi: 10.3390/genes9010049 – volume: 522 start-page: 207 issue: 7555 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0185 article-title: Massive migration from the steppe was a source for Indo-European languages in Europe publication-title: Nature doi: 10.1038/nature14317 – volume: 9 start-page: 150 year: 2014 ident: 10.1016/j.fsigen.2019.05.006_bib0150 article-title: Developmental validation of the HIrisPlex system: DNA-based eye and hair colour prediction for forensic and anthropological usage publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2013.12.006 – volume: 12 start-page: R94 issue: 9 year: 2011 ident: 10.1016/j.fsigen.2019.05.006_bib0180 article-title: Comparison of solution-based exome capture methods for next generation sequencing publication-title: Genome Biol. doi: 10.1186/gb-2011-12-9-r94 – volume: 19 start-page: R192 issue: 5 year: 2009 ident: 10.1016/j.fsigen.2019.05.006_bib0015 article-title: Eye color and the prediction of complex phenotypes from genotypes publication-title: Curr. Biol. doi: 10.1016/j.cub.2009.01.027 – volume: 136 start-page: 847 issue: 7 year: 2017 ident: 10.1016/j.fsigen.2019.05.006_bib0020 article-title: Global skin colour prediction from DNA publication-title: Hum. Genet. doi: 10.1007/s00439-017-1808-5 – volume: 50 start-page: 652 issue: 5 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0055 article-title: Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability publication-title: Nat. Genet. doi: 10.1038/s41588-018-0100-5 – volume: 46 start-page: 1173 issue: 11 year: 2014 ident: 10.1016/j.fsigen.2019.05.006_bib0115 article-title: Defining the role of common variation in the genomic and biological architecture of adult human height publication-title: Nat. Genet. doi: 10.1038/ng.3097 – volume: 31 start-page: 151 issue: 1 year: 1976 ident: 10.1016/j.fsigen.2019.05.006_bib0140 article-title: A note on the background to, and refereeing of, R. A. Fisher’s 1918 paper’ on the correlation between relatives on the supposition of Mendelian inheritance publication-title: Notes Rec. R. Soc. Lond. doi: 10.1098/rsnr.1976.0005 – volume: 36 start-page: 1236 issue: 12 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0155 article-title: Simultaneous whole mitochondrial genome sequencing with short overlapping amplicons suitable for degraded DNA using the ion torrent personal genome machine publication-title: Hum. Mutat. doi: 10.1002/humu.22905 – volume: 69 start-page: 106 issue: 1 year: 2001 ident: 10.1016/j.fsigen.2019.05.006_bib0095 article-title: Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height publication-title: Am. J. Hum. Genet. doi: 10.1086/321287 – volume: 542 start-page: 186 issue: 7640 year: 2017 ident: 10.1016/j.fsigen.2019.05.006_bib0120 article-title: Rare and low-frequency coding variants alter human adult height publication-title: Nature doi: 10.1038/nature21039 – volume: 129 start-page: 443 issue: 4 year: 2011 ident: 10.1016/j.fsigen.2019.05.006_bib0010 article-title: Model-based prediction of human hair color using DNA variants publication-title: Hum. Genet. doi: 10.1007/s00439-010-0939-8 – volume: 13 issue: 2 year: 2017 ident: 10.1016/j.fsigen.2019.05.006_bib0050 article-title: Genetic prediction of male pattern baldness publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1006594 – volume: 10 issue: 5 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0075 article-title: Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness publication-title: PLoS One doi: 10.1371/journal.pone.0127852 – volume: 9 start-page: 1684 issue: 1 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0060 article-title: Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure publication-title: Nat. Commun. doi: 10.1038/s41467-018-04086-y – volume: 37 start-page: 241 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0065 article-title: Towards broadening forensic DNA phenotyping beyond pigmentation: improving the prediction of head hair shape from DNA publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2018.08.017 – volume: 5 start-page: 170 issue: 3 year: 2011 ident: 10.1016/j.fsigen.2019.05.006_bib0025 article-title: IrisPlex: a sensitive DNA tool for accurate prediction of blue and brown eye colour in the absence of ancestry information publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2010.02.004 – volume: 39 start-page: 143 issue: 2 year: 1990 ident: 10.1016/j.fsigen.2019.05.006_bib0085 article-title: Quantitative genetic analysis of longitudinal trends in height: preliminary results from the Louisville Twin Study publication-title: Acta Genet. Med. Gemellol. (Roma) – volume: 32 start-page: 807 issue: 9 year: 2017 ident: 10.1016/j.fsigen.2019.05.006_bib0135 article-title: The Rotterdam Study: 2018 update on objectives, design and main results publication-title: Eur. J. Epidemiol. doi: 10.1007/s10654-017-0321-4 – volume: 27 start-page: 559 issue: 3 year: 2018 ident: 10.1016/j.fsigen.2019.05.006_bib0035 article-title: Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddx416 – volume: 120 start-page: 571 issue: 4 year: 2006 ident: 10.1016/j.fsigen.2019.05.006_bib0090 article-title: Bias, precision and heritability of self-reported and clinically measured height in Australian twins publication-title: Hum. Genet. doi: 10.1007/s00439-006-0240-z – volume: 36 start-page: 151 issue: 1 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0160 article-title: Simultaneous analysis of hundreds of Y-chromosomal SNPs for high-resolution paternal lineage classification using targeted semiconductor sequencing publication-title: Hum. Mutat. doi: 10.1002/humu.22713 – volume: 50 start-page: B237 issue: 4 year: 1995 ident: 10.1016/j.fsigen.2019.05.006_bib0080 article-title: A cross-sectional examination of height, weight, and body mass index in adult twins publication-title: J. Gerontol. A Biol. Sci. Med. Sci. doi: 10.1093/gerona/50A.4.B237 – volume: 18 start-page: 78 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0165 article-title: Next generation sequencing and its applications in forensic genetics publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2015.02.002 – volume: 6 start-page: 399 issue: 5 year: 2003 ident: 10.1016/j.fsigen.2019.05.006_bib0145 article-title: Heritability of adult body height: a comparative study of twin cohorts in eight countries publication-title: Twin Res. doi: 10.1375/136905203770326402 – volume: 19 start-page: 280 year: 2015 ident: 10.1016/j.fsigen.2019.05.006_bib0070 article-title: Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2015.09.004 – volume: 37 start-page: 868 issue: 8 year: 2005 ident: 10.1016/j.fsigen.2019.05.006_bib0100 article-title: Demonstrating stratification in a European American population publication-title: Nat. Genet. doi: 10.1038/ng1607 – volume: 8 issue: 9 year: 2012 ident: 10.1016/j.fsigen.2019.05.006_bib0045 article-title: A genome-wide association study identifies five loci influencing facial morphology in Europeans publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002932 – volume: 467 start-page: 832 issue: 7317 year: 2010 ident: 10.1016/j.fsigen.2019.05.006_bib0110 article-title: Hundreds of variants clustered in genomic loci and biological pathways affect human height publication-title: Nature doi: 10.1038/nature09410 – volume: 7 start-page: 98 issue: 1 year: 2013 ident: 10.1016/j.fsigen.2019.05.006_bib0030 article-title: The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA publication-title: Forensic Sci. Int. Genet. doi: 10.1016/j.fsigen.2012.07.005 – volume: 8 start-page: 14694 year: 2017 ident: 10.1016/j.fsigen.2019.05.006_bib0040 article-title: Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness publication-title: Nat. Commun. doi: 10.1038/ncomms14694 |
| SSID | ssj0059715 |
| Score | 2.3505337 |
| Snippet | •Current forensic DNA phenotyping focuses on pigmentation traits.•Update on DNA predictability of tall stature in Europeans is presented.•689 SNPs provided AUC... Highlights•Current forensic DNA phenotyping focuses on pigmentation traits. •Update on DNA predictability of tall stature in Europeans is presented. •689 SNPs... Predicting adult height from DNA has important implications in forensic DNA phenotyping. In 2014, we introduced a prediction model consisting of 180... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 8 |
| SubjectTerms | Body height Body Height - genetics DNA - genetics DNA prediction European Continental Ancestry Group - genetics Forensic DNA phenotyping Genetic Markers Humans Logistic Models Models, Genetic Pathology Phenotype Polymorphism, Single Nucleotide Tall stature |
| Title | Update on the predictability of tall stature from DNA markers in Europeans |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S1872497318305830 https://www.clinicalkey.es/playcontent/1-s2.0-S1872497318305830 https://dx.doi.org/10.1016/j.fsigen.2019.05.006 https://www.ncbi.nlm.nih.gov/pubmed/31207428 https://www.proquest.com/docview/2242816977 |
| Volume | 42 |
| WOSCitedRecordID | wos000483955000007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1878-0326 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0059715 issn: 1872-4973 databaseCode: AIEXJ dateStart: 20070301 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Zi9swEBbZbB8KpfRueiwq9C148SVbfgzt9khLKHQDoS_Ch8R6Se0QJ0v61L_eGUtysk2X3Rb6EBOEZdmaT6OZ0RyEvGZKJTKPE1BLClBQuBs6oDZ7DgsiyUC8yHmm2mIT8WTCZ7PkS6_308bCXMzjquKbTbL4r6SGNiA2hs7-Bbm7h0ID_AeiwxXIDtcbEX66QCXeHAJgDoCizFc6G3d7mr7Cw2iMI8Kjgza65O1kNPyObjrL1jnWGuibXcEVS3hWQNGhjQMqL5kS0bAAb4QRkZ2Q_rlct6LxFn_fzowD8Ke0_FF2zWNTV2VWpvWmtK3TEgON5pjOsbKul_pYf_j-eNdY4W29sYwFbS-KpmW6PPax0l2wy5V1zi3DVvnO_qxDV_c4vzZCnB-rBrOYos9e0qZkdX9LtN1u3V9xSBwRGJrL4HdADv2YJbxPDkcfT2Zju5mDutUWwehe0UZfti6C-2NdJd1cpb20UszpPXLXqB90pGFzn_Rk9YDc0bZbqkPSHpKxhhCtKwoQopchRGtFEULUQIgihChAiBoI0bKiHYQekem7k9M3HxxTc8PJmRetnMyVQZhFeZxGac5UWIAGmco4cnPFCuD-KghiT8okdIs0C0Pg-AUrIgVyeFYoFsXBY9Kv6ko-JZQrJhUoENLP4U7YWL0sUzLAnG4BTxN3QAI7VyI3CemxLspcWM_Dc6FnWOAMC5cJmOEBcbpeC52Q5Zr7mSWDsMHGsD0KwM01_eI_9ZONWeqN8ETjC1fsYWm3p1mTWjy9wZivLE4EcHk8uksrWa8bAYK2z70IlLUBeaIB1H194Plo4OLP_vFLn5Pb26X6gvRXy7V8SW7lF6uyWR6Rg3jGj8yy-AXtJta4 |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Update+on+the+predictability+of+tall+stature+from+DNA+markers+in+Europeans&rft.jtitle=Forensic+science+international+%3A+genetics&rft.au=Liu%2C+Fan&rft.au=Zhong%2C+Kaiyin&rft.au=Jing%2C+Xiaoxi&rft.au=Uitterlinden%2C+Andr%C3%A9+G.&rft.date=2019-09-01&rft.pub=Elsevier+B.V&rft.issn=1872-4973&rft.volume=42&rft.spage=8&rft.epage=13&rft_id=info:doi/10.1016%2Fj.fsigen.2019.05.006&rft.externalDocID=S1872497318305830 |
| thumbnail_m | http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F18724973%2FS1872497319X00046%2Fcov150h.gif |