ArticleResearch square2023
Pervasive correlations between causal disease effects of proximal SNPs vary with functional annotations and implicate stabilizing selection.
Martin Jinye Zhang, Arun Durvasula, Colby Chiang, Evan M Koch, Benjamin J Strober, Huwenbo Shi, Alison R Barton, Samuel S Kim, Omer Weissbrod, Po-Ru Loh and 3 more
Abstract readPreprint
In one paragraphArticle in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
13 authors.
Martin Jinye ZhangRay and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-0006-2466 Arun DurvasulaDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-0631-3238 Colby ChiangDepartment of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Evan M KochDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Benjamin J StroberDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Huwenbo ShiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Alison R BartonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-0882-0196 Omer WeissbrodDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Po-Ru LohProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-5542-9064 Steven GazalCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California.ORCID 0000-0003-4510-5730 Alkes L PriceDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-2971-7975 Funding
TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0MStatistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4MStatistical methods to localize disease heritability and identify biological mechanismsR37MH107649 · NIMH · BROAD INSTITUTE, INC. · PI Benjamin Michael Neale · 2019 to 2026
$7.0MMethods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3MPredicting the impact of genetic variants, genes and pathways on human DiseaseU01HG012009 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALKES L PRICE, Soumya Raychaudhuri · 2021 to 2026
$4.2MFunctionally specialized components of disease heritability in ENCODE dataU01HG009379 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L, RAYCHAUDHURI, SOUMYA · 2017 to 2021
$2.5MNHGRI NIH HHS R01 HG006399NHGRI NIH HHS U01 HG009379NHGRI NIH HHS U01 HG012009NIGMS NIH HHS T32 GM007748NIMH NIH HHS R01 MH101244NIMH NIH HHS R37 MH107649
6 · The paper itselfAbstract
The genetic architecture of human diseases and complex traits has been extensively studied, but little is known about the relationship of causal disease effect sizes between proximal SNPs, which have largely been assumed to be independent. We introduce a new method, LD SNP-pair effect correlation regression (LDSPEC), to estimate the correlation of causal disease effect sizes of derived alleles between proximal SNPs, depending on their allele frequencies, LD, and functional annotations; LDSPEC produced robust estimates in simulations across various genetic architectures. We applied LDSPEC to 70 diseases and complex traits from the UK Biobank (average
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PMID38168385
PMCPMC10760228
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