Quantitative Trait Loci Mapping of the Mouse Plasma Proteome (pQTL)

被引:14
作者
Holdt, Lesca M. [1 ,2 ]
von Delft, Annette [1 ]
Nicolaou, Alexandros [1 ,3 ]
Baumann, Sven [1 ]
Kostrzewa, Markus [4 ]
Thiery, Joachim [1 ]
Teupser, Daniel [1 ,2 ,3 ]
机构
[1] Univ Munich, Inst Lab Med Clin Chem & Mol Diagnost, D-04103 Munich, Germany
[2] Univ Leipzig, LIFE Leipzig Res Ctr Civilizat Dis, D-04103 Leipzig, Germany
[3] Univ Munich, Inst Lab Med, D-81377 Munich, Germany
[4] Bruker Daltonics Inc, D-28359 Bremen, Germany
关键词
MASS-SPECTROMETRY; GENE-EXPRESSION; A-II; ATHEROSCLEROSIS; MICE; QUANTIFICATION; CROSSES; BIOLOGY;
D O I
10.1534/genetics.112.143354
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
A current challenge in the era of genome-wide studies is to determine the responsible genes and mechanisms underlying newly identified loci. Screening of the plasma proteome by high-throughput mass spectrometry (MALDI-TOF MS) is considered a promising approach for identification of metabolic and disease processes. Therefore, plasma proteome screening might be particularly useful for identifying responsible genes when combined with analysis of variation in the genome. Here, we describe a proteomic quantitative trait locus (pQTL) study of plasma proteome screens in an F-2 intercross of 455 mice mapped with 177 genetic markers across the genome. A total of 69 of 176 peptides revealed significant LOD scores (>= 5.35) demonstrating strong genetic regulation of distinct components of the plasma proteome. Analyses were confirmed by mechanistic studies and MALDI-TOF/TOF, liquid chromatography-tandem mass spectrometry (LC-MS/MS) analyses of the two strongest pQTLs: A pQTL for mass-to-charge ratio (m/z) 3494 (LOD 24.9, D11Mit151) was identified as the N-terminal 35 amino acids of hemoglobin subunit A (Hba) and caused by genetic variation in Hba. Another pQTL for m/z 8713 (LOD 36.4; D1Mit111) was caused by variation in apolipoprotein A2 (Apoa2) and cosegregated with HDL cholesterol. Taken together, we show that genome-wide plasma proteome profiling in combination with genome-wide genetic screening aids in the identification of causal genetic variants affecting abundance of plasma proteins.
引用
收藏
页码:601 / +
页数:15
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