Peter VandeHaar
Overview
Explore the profile of Peter VandeHaar including associated specialties, affiliations and a list of published articles.
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11
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1095
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Recent Articles
1.
Zawistowski M, Fritsche L, Pandit A, Vanderwerff B, Patil S, Schmidt E, et al.
Cell Genom
. 2023 Feb;
3(2):100257.
PMID: 36819667
Biobanks of linked clinical patient histories and biological samples are an efficient strategy to generate large cohorts for modern genetics research. Biobank recruitment varies by factors such as geographic catchment...
2.
Yin X, Chan L, Bose D, Jackson A, VandeHaar P, Locke A, et al.
Nat Commun
. 2022 Mar;
13(1):1644.
PMID: 35347128
Few studies have explored the impact of rare variants (minor allele frequency < 1%) on highly heritable plasma metabolites identified in metabolomic screens. The Finnish population provides an ideal opportunity...
3.
Kwong A, Boughton A, Wang M, VandeHaar P, Boehnke M, Abecasis G, et al.
Bioinformatics
. 2021 Aug;
38(2):559-561.
PMID: 34459872
Summary: Expression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation. Interactive visualization of tissue-specific eQTLs or splice QTLs...
4.
Boughton A, Welch R, Flickinger M, VandeHaar P, Taliun D, Abecasis G, et al.
Bioinformatics
. 2021 Mar;
37(18):3017-3018.
PMID: 33734315
Summary: LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data...
5.
Dutta D, VandeHaar P, Fritsche L, Zollner S, Boehnke M, Scott L, et al.
Am J Hum Genet
. 2021 Mar;
108(4):669-681.
PMID: 33730541
Tests of association between a phenotype and a set of genes in a biological pathway can provide insights into the genetic architecture of complex phenotypes beyond those obtained from single-variant...
6.
Fritsche L, Patil S, Beesley L, VandeHaar P, Salvatore M, Ma Y, et al.
Am J Hum Genet
. 2020 Sep;
107(5):815-836.
PMID: 32991828
To facilitate scientific collaboration on polygenic risk scores (PRSs) research, we created an extensive PRS online repository for 35 common cancer traits integrating freely available genome-wide association studies (GWASs) summary...
7.
Gagliano Taliun S, VandeHaar P, Boughton A, Welch R, Taliun D, Schmidt E, et al.
Nat Genet
. 2020 Jun;
52(6):550-552.
PMID: 32504056
No abstract available.
8.
Zhao Z, Bi W, Zhou W, VandeHaar P, Fritsche L, Lee S
Am J Hum Genet
. 2019 Dec;
106(1):3-12.
PMID: 31866045
In biobank data analysis, most binary phenotypes have unbalanced case-control ratios, and this can cause inflation of type I error rates. Recently, a saddle point approximation (SPA) based single-variant test...
9.
Fritsche L, Beesley L, VandeHaar P, Peng R, Salvatore M, Zawistowski M, et al.
PLoS Genet
. 2019 Jun;
15(6):e1008202.
PMID: 31194742
Polygenic risk scores (PRS) are designed to serve as single summary measures that are easy to construct, condensing information from a large number of genetic variants associated with a disease....
10.
Zhou W, Nielsen J, Fritsche L, Dey R, Gabrielsen M, Wolford B, et al.
Nat Genet
. 2018 Aug;
50(9):1335-1341.
PMID: 30104761
In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks, most binary traits have substantially fewer cases than controls. Both of the widely used approaches, the linear mixed...