Original article | published - printed | peer reviewed
Rare and low-frequency coding variants in CXCR2 and other genes are associated with hematological traits.
NATURE GENETICS
2014 ;
46(6):
629 - 634
Bibliometrische Indikatoren
Impact Factor = 29,352
Zitierhäufigkeit nach WOS = 73
DOI = 10.1038/ng.2962
PubMed-ID = 24777453
Autoren
Auer P*, Teumer A1,2, Schick U, O'Shaughnessy A, Lo K, Chami N, Carlson C, de Denus S, Dubé M, Haessler J, Jackson R, Kooperberg C, Perreault L, Nauck M3, Peters U, Rioux J, Schmidt F2, Turcot V, Völker U2, Völzke H4, Greinacher A5, Hsu L, Tardif J, Diaz G, Reiner A, Lettre G
Beteiligte Einrichtungen
1 - Institut für Community-Medicine / SHIP Untersuchungszentrum
2 - Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung
3 - Institut für Klinische Chemie und Laboratoriumsmedizin
4 - Institut für Community Medicine / Abt. SHIP KEF
5 - Institut für Transfusionsmedizin
Abstract
Hematological traits are important clinical parameters. To test the effects of rare and low-frequency coding variants on hematological traits, we analyzed hemoglobin concentration, hematocrit levels, white blood cell (WBC) counts and platelet counts in 31,340 individuals genotyped on an exome array. We identified several missense variants in CXCR2 associated with reduced WBC count (gene-based P = 2.6 × 10(-13)). In a separate family-based resequencing study, we identified a CXCR2 frameshift mutation in a pedigree with congenital neutropenia that abolished ligand-induced CXCR2 signal transduction and chemotaxis. We also identified missense or splice-site variants in key hematopoiesis regulators (EPO, TFR2, HBB, TUBB1 and SH2B3) associated with blood cell traits. Finally, we were able to detect associations between a rare somatic JAK2 mutation (encoding p.Val617Phe) and platelet count (P = 3.9 × 10(-22)) as well as hemoglobin concentration (P = 0.002), hematocrit levels (P = 9.5 × 10(-7)) and WBC count (P = 3.1 × 10(-5)). In conclusion, exome arrays complement genome-wide association studies in identifying new variants that contribute to complex human traits.
Veröffentlicht in
NATURE GENETICS
| Jahr | 2014 |
| Impact Factor (2014) | 29,352 |
| Volume | 46 |
| Issue | 6 |
| Seiten | 629 - 634 |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Original article |
| Artikelstatus | published - printed |
| DOI | 10.1038/ng.2962 |
| PubMed-ID | 24777453 |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: NAT GENET
ISSN: 1061-4036
eISSN: 1546-1718
Land: USA
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 1061-4036
eISSN: 1546-1718
Land: USA
Sprache: English
Kategorie(n):
- UROLOGY & NEPHROLOGY
- ENDOCRINOLOGY & METABOLISM
Impact Factor Entwicklung
| Jahr | Impact Factor |
|---|---|
| 2008 | 30,259 |
| 2009 | 34,284 |
| 2010 | 36,377 |
| 2011 | 35,532 |
| 2012 | 35,209 |
| 2013 | 29,648 |
| 2014 | 29,352 |
| 2015 | 31,616 |
| 2016 | 27,959 |
| 2017 | 27,125 |
| 2018 | 25,455 |
| 2019 | 27,603 |
| 2020 | 38,33 |
| 2021 | 41,307 |
| 2022 | 30,8 |
| 2023 | 31,7 |
| 2024 | 29 |
Projekte
GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
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