Plasma pQTLs in INTERVAL cohort

Human pQTLs using UK INTERVAL (Cambridge CEU) plasma samples. pQTL mapping of 3,283 protein analytes assayed using SomaLogic SOMAscan, across 10.6M imputed genetic variants, in 3,301 samples.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 19 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004080	This dataset contains four data files relating to the Cambridge Interval SomaLogic pQTL study to go with the corresponding genetic data: (1) Genome-wide pQTL summary associations for each analyte. (2) Mapping table for the genetic variants analysed - containing rsID, position and allele information. (3) Normalised quantitative readouts for each analyte, along with covariates used for the pQTL analysis. (4) Table of SOMAmer analytes mapped to their protein targets. Please see the readme file in the dataset for more information.		3301
EGAD00010001544	Imputed genetic data for INTERVAL proteomics cohort	Affymetrix Axiom UK Biobank + imputation to 1000GP3 and UK10K	3301

Publications	Citations
Genomic atlas of the human plasma proteome. Sun BB, Maranville JC, Peters JE, Stacey D, Staley JR, Blackshaw J, Burgess S, Jiang T, Paige E, Surendran P, Oliver-Williams C, Kamat MA, Prins BP, Wilcox SK, Zimmerman ES, Chi A, Bansal N, Spain SL, Wood AM, Morrell NW, Bradley JR, Janjic N, Roberts DJ, Ouwehand WH, Todd JA, Soranzo N, Suhre K, Paul DS, Fox CS, Plenge RM, Danesh J, Runz H, Butterworth AS. Nature 558: 2018 73-79	949
Undulating changes in human plasma proteome profiles across the lifespan. Lehallier B, Gate D, Schaum N, Nanasi T, Lee SE, Yousef H, Moran Losada P, Berdnik D, Keller A, Verghese J, Sathyan S, Franceschi C, Milman S, Barzilai N, Wyss-Coray T. Nat Med 25: 2019 1843-1850	358
Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging. Lehallier B, Shokhirev MN, Wyss-Coray T, Johnson AA. Aging Cell 19: 2020 e13256	45
Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data. Deutelmoser H, Scherer D, Brenner H, Waldenberger M, INTERVAL study, Suhre K, Kastenmüller G, Lorenzo Bermejo J. Brief Bioinform 22: 2021 bbaa230	4
Multi-omics highlights ABO plasma protein as a causal risk factor for COVID-19. Hernández Cordero AI, Li X, Milne S, Yang CX, Bossé Y, Joubert P, Timens W, van den Berge M, Nickle D, Hao K, Sin DD. Hum Genet 140: 2021 969-979	26
CoffeeProt: an online tool for correlation and functional enrichment of systems genetics data. Molendijk J, Seldin MM, Parker BL. Nucleic Acids Res 49: 2021 W104-W113	3
Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Ritchie SC, Lambert SA, Arnold M, Teo SM, Lim S, Scepanovic P, Marten J, Zahid S, Chaffin M, Liu Y, Abraham G, Ouwehand WH, Roberts DJ, Watkins NA, Drew BG, Calkin AC, Di Angelantonio E, Soranzo N, Burgess S, Chapman M, Kathiresan S, Khera AV, Danesh J, Butterworth AS, Inouye M. Nat Metab 3: 2021 1476-1483	40
A large-scale genetic correlation scan between rheumatoid arthritis and human plasma protein. Luo P, Cheng S, Zhang F, Feng R, Xu K, Jing W, Xu P. Bone Joint Res 11: 2022 134-142	4
Protein prediction for trait mapping in diverse populations. Schubert R, Geoffroy E, Gregga I, Mulford AJ, Aguet F, Ardlie K, Gerszten R, Clish C, Van Den Berg D, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy R, Conomos M, Blackwell T, Papanicolaou G, Lappalainen T, Mikhaylova AV, Thornton TA, Cho MH, Gignoux CR, Lange L, Lange E, Rich SS, Rotter JI, NHLBI TOPMed Consortium, Manichaikul A, Im HK, Wheeler HE. PLoS One 17: 2022 e0264341	13
SVEP1 is an endogenous ligand for the orphan receptor PEAR1. Elenbaas JS, Pudupakkam U, Ashworth KJ, Kang CJ, Patel V, Santana K, Jung IH, Lee PC, Burks KH, Amrute JM, Mecham RP, Halabi CM, Alisio A, Di Paola J, Stitziel NO. Nat Commun 14: 2023 850	8
Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicity. Schmidt AF, Bourfiss M, Alasiri A, Puyol-Anton E, Chopade S, van Vugt M, van der Laan SW, Gross C, Clarkson C, Henry A, Lumbers TR, van der Harst P, Franceschini N, Bis JC, Velthuis BK, Te Riele ASJM, Hingorani AD, Ruijsink B, Asselbergs FW, van Setten J, Finan C. Sci Adv 9: 2023 eadd4984	10
Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets. Zhao JH, Stacey D, Eriksson N, Macdonald-Dunlop E, Hedman ÅK, Kalnapenkis A, Enroth S, Cozzetto D, Digby-Bell J, Marten J, Folkersen L, Herder C, Jonsson L, Bergen SE, Gieger C, Needham EJ, Surendran P, Estonian Biobank Research Team, Paul DS, Polasek O, Thorand B, Grallert H, Roden M, Võsa U, Esko T, Hayward C, Johansson Å, Gyllensten U, Powell N, Hansson O, Mattsson-Carlgren N, Joshi PK, Danesh J, Padyukov L, Klareskog L, Landén M, Wilson JF, Siegbahn A, Wallentin L, Mälarstig A, Butterworth AS, Peters JE. Nat Immunol 24: 2023 1540-1551	162
Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects. Zhong H, Zhu J, Liu S, Ghoneim DH, Surendran P, Liu T, Fahle S, Butterworth A, Ashad Alam M, Deng HW, Yu H, Wu C, Wu L. Hum Mol Genet 32: 2023 3181-3193	4
Identification of circulating proteins associated with general cognitive function among middle-aged and older adults. Tin A, Fohner AE, Yang Q, Brody JA, Davies G, Yao J, Liu D, Caro I, Lindbohm JV, Duggan MR, Meirelles O, Harris SE, Gudmundsdottir V, Taylor AM, Henry A, Beiser AS, Shojaie A, Coors A, Fitzpatrick AL, Langenberg C, Satizabal CL, Sitlani CM, Wheeler E, Tucker-Drob EM, Bressler J, Coresh J, Bis JC, Candia J, Jennings LL, Pietzner M, Lathrop M, Lopez OL, Redmond P, Gerszten RE, Rich SS, Heckbert SR, Austin TR, Hughes TM, Tanaka T, Emilsson V, Vasan RS, Guo X, Zhu Y, Tzourio C, Rotter JI, Walker KA, Ferrucci L, Kivimäki M, Breteler MMB, Cox SR, Debette S, Mosley TH, Gudnason VG, Launer LJ, Psaty BM, Seshadri S, Fornage M. Commun Biol 6: 2023 1117	5
Associations between genetically predicted plasma protein levels and Alzheimer's disease risk: a study using genetic prediction models. Zhu J, Liu S, Walker KA, Zhong H, Ghoneim DH, Zhang Z, Surendran P, Fahle S, Butterworth A, Alam MA, Deng HW, Wu C, Wu L. Alzheimers Res Ther 16: 2024 8	4
Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits. Wittich H, Ardlie K, Taylor KD, Durda P, Liu Y, Mikhaylova A, Gignoux CR, Cho MH, Rich SS, Rotter JI, NHLBI TOPMed Consortium, Manichaikul A, Im HK, Wheeler HE. Am J Hum Genet 111: 2024 445-455	2
Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma. Zhu J, Wu K, Liu S, Masca A, Zhong H, Yang T, Ghoneim DH, Surendran P, Liu T, Yao Q, Liu T, Fahle S, Butterworth A, Alam MA, Vadgama JV, Deng Y, Deng HW, Wu C, Wu Y, Wu L. Gigascience 13: 2024 giae012	1
Extensive co-regulation of neighboring genes complicates the use of eQTLs in target gene prioritization. Tambets R, Kolde A, Kolberg P, Love MI, Alasoo K. HGG Adv 5: 2024 100348	1
Exploring Genetic Drug Targets in Acne Vulgaris: A Comprehensive Proteome-Wide Mendelian Randomization Study. Ju R, Ying Y, Zhou Q, Cao Y. J Cosmet Dermatol 23: 2024 4223-4229	0