Department of Economics and Business Economics

Finding hidden treasures in summary statistics from genome-wide association studies

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Finding hidden treasures in summary statistics from genome-wide association studies. / Privé, Florian; Zhu, Zhihong; Vilhjalmsson, Bjarni J.

In: Nature Genetics, Vol. 53, No. 4, 04.2021, p. 431-432.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperComment/debateCommunication

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@article{9274b75729fe48afa15aaaf170a72679,
title = "Finding hidden treasures in summary statistics from genome-wide association studies",
abstract = "Case-case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case-case GWAS results from a pair of standard case-control GWAS summary statistics that need not be from the same cohort.",
author = "Florian Priv{\'e} and Zhihong Zhu and Vilhjalmsson, {Bjarni J.}",
note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = apr,
doi = "10.1038/s41588-021-00824-z",
language = "English",
volume = "53",
pages = "431--432",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "Nature Publishing Group",
number = "4",

}

RIS

TY - JOUR

T1 - Finding hidden treasures in summary statistics from genome-wide association studies

AU - Privé, Florian

AU - Zhu, Zhihong

AU - Vilhjalmsson, Bjarni J.

N1 - Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/4

Y1 - 2021/4

N2 - Case-case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case-case GWAS results from a pair of standard case-control GWAS summary statistics that need not be from the same cohort.

AB - Case-case genome-wide association studies (GWAS) within a single genotyped cohort have proven useful in identifying genetic variants explaining different health outcomes, yet they are limited by data availability. A new study by Peyrot and Price proposes a clever statistical method to overcome this problem by inferring case-case GWAS results from a pair of standard case-control GWAS summary statistics that need not be from the same cohort.

UR - http://www.scopus.com/inward/record.url?scp=85104167001&partnerID=8YFLogxK

U2 - 10.1038/s41588-021-00824-z

DO - 10.1038/s41588-021-00824-z

M3 - Comment/debate

C2 - 33833451

AN - SCOPUS:85104167001

VL - 53

SP - 431

EP - 432

JO - Nature Genetics

JF - Nature Genetics

SN - 1061-4036

IS - 4

ER -