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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


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):
  • 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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