Evidence map›Paper›PMID 31992710›Full record

SynthesisNature communications2020

Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts.

Elizabeth T Cirulli, Simon White, Robert W Read, Gai Elhanan, William J Metcalf, Francisco Tanudjaja, Donna M Fath, Efren Sandoval, Magnus Isaksson, Karen A Schlauch and 3 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 pooled it
18.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What 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 registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 3 syntheses or guidelines pooled it, 142 citations in OpenAlex.

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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Elizabeth T CirulliHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA. liz.cirulli@helix.com.ORCID http://orcid.org/0000-0001-7808-2809
Simon WhiteHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.ORCID http://orcid.org/0000-0001-6375-2363
Robert W ReadDesert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.ORCID http://orcid.org/0000-0002-6967-5634
Gai ElhananDesert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.
William J MetcalfDesert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.
Francisco TanudjajaHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.ORCID http://orcid.org/0000-0002-6233-0238
Donna M FathHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.
Efren SandovalHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.
Magnus IsakssonHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.
Karen A SchlauchDesert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.
Joseph J GrzymskiDesert Research Institute, 2215 Raggio Pkwy, Reno, NV, 89512, USA.
James T LuHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.
Nicole L WashingtonHelix, 101S Ellsworth Ave Suite 350, San Mateo, CA, 94401, USA.
Helix (United States) · USRenown Health · US

Funding

Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Understanding the impact of rare variants is essential to understanding human health. We analyze rare (MAF < 0.1%) variants against 4264 phenotypes in 49,960 exome-sequenced individuals from the UK Biobank and 1934 phenotypes (1821 overlapping with UK Biobank) in 21,866 members of the Healthy Nevada Project (HNP) cohort who underwent Exome + sequencing at Helix. After using our rare-variant-tailored methodology to reduce test statistic inflation, we identify 64 statistically significant gene-based associations in our meta-analysis of the two cohorts and 37 for phenotypes available in only one cohort. Singletons make significant contributions to our results, and the vast majority of the associations could not have been identified with a genotyping chip. Our results are available for interactive browsing in a webapp (https://ukb.research.helix.com). This comprehensive analysis illustrates the biological value of large, deeply phenotyped cohorts of unselected populations coupled with NGS data.

Indexed as

ExomeGenetic VariationGenome, HumanGenome-Wide Association StudyPhenotypeAdolescentAdultAgedAged, 80 and overCohort StudiesDatabases, GeneticEuropeExome SequencingFemaleGenetics, PopulationHigh-Throughput Nucleotide Sequencing

Identifiers

PMID31992710
PMCPMC6987107
OpenAlexW3003275163

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.