Evidence map›Paper›PMID 26727659›Full record

ArticleNature genetics2016

A spectral approach integrating functional genomic annotations for coding and noncoding variants.

Iuliana Ionita-Laza, Kenneth McCallum, Bin Xu, Joseph D Buxbaum

Abstract read
In one paragraph

Article in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 383 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
383citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

383 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  12. Homozygous NonsenseJournal of clinical medicine · 2026
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  19. Functional Variant Discovery Identifies a Novel Genetic Link between SPRY2, Wood Smoke, and Asthma.American journal of respiratory cell and molecular biology · 2026
    Article
  20. Article

323 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

4 authors.

Iuliana Ionita-LazaDepartment of Biostatistics, Columbia University, New York, New York, USA.
Kenneth McCallumDepartment of Biostatistics, Columbia University, New York, New York, USA.
Bin XuDepartment of Psychiatry, Columbia University, New York, New York, USA.
Joseph D BuxbaumSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Funding

Novel Statistical methods for DNA Sequencing Data, and applications to Autism.R01MH095797 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IONITA, IULIANA · 2012 to 2022
$3.1M
1/4-The Autism Sequencing Consortium: Autism gene discovery in >20,000 exomesU01MH100233 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2013 to 2015
$2.5M
NIMH NIH HHS R01 MH095797NIMH NIH HHS R01 MH100233NIMH NIH HHS U01 MH100233
6 · The paper itself

Abstract

Over the past few years, substantial effort has been put into the functional annotation of variation in human genome sequences. Such annotations can have a critical role in identifying putatively causal variants for a disease or trait among the abundant natural variation that occurs at a locus of interest. The main challenges in using these various annotations include their large numbers and their diversity. Here we develop an unsupervised approach to integrate these different annotations into one measure of functional importance (Eigen) that, unlike most existing methods, is not based on any labeled training data. We show that the resulting meta-score has better discriminatory ability using disease-associated and putatively benign variants from published studies (in both coding and noncoding regions) than the recently proposed CADD score. Across varied scenarios, the Eigen score performs generally better than any single individual annotation, representing a powerful single functional score that can be incorporated in fine-mapping studies.

Indexed as

Genome, HumanGenetic Predisposition to DiseaseHumansMutationQuantitative Trait Loci

Identifiers

PMID26727659
PMCPMC4731313

What OpenQuestion holds

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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.