Evidence map›Paper›PMID 41278985›Full record

ArticlebioRxiv : the preprint server for biology2025

Comprehensive gene heritability estimation reveals the genetic architecture of rare coding variants underlying complex traits.

Zhengtong Liu, Boyang Fu, Moonseong Jeong, Prateek Anand, Aakarsh Anand, Seon-Kyeong Jang, Aditya Gorla, Jiazheng Zhu, Päivi Pajukanta, Pier Francesco Palamara and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhengtong LiuDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0008-2467-9376
Boyang FuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0082-8735
Moonseong JeongDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0009-3836-2676
Prateek AnandDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0004-8455-1308
Aakarsh AnandDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0008-9581-3827
Seon-Kyeong JangDepartment of Neurology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-8533-6894
Aditya GorlaBioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-0849-7894
Jiazheng ZhuDepartment of Statistics, University of Oxford, Oxford, UK.ORCID 0009-0008-2479-6732
Päivi PajukantaDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-6423-8056
Pier Francesco PalamaraDepartment of Statistics, University of Oxford, Oxford, UK.ORCID 0000-0002-7999-1972
Noah ZaitlenDepartment of Neurology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3553-3670
Richard BorderDepartment of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-6293-2968
Sriram SankararamanDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-1586-9641

Funding

Genomics of dyslipidemia in MexicansR01HL095056 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJUKANTA, PAIVI · 2009 to 2018
$5.9M
Multimodal omics approach to identify health to cardiometabolic disease transitionsR01HL170604 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Paivi Pajukanta · 2023 to 2026
$2.8M
Genetics of adipose cell-type expression and cardiometabolic traitsR01DK132775 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOHLKE, KAREN L., PAJUKANTA, PAIVI · 2022 to 2025
$2.4M
Expressive and scalable statistical models for genomic and biomedical dataR35GM153406 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sriram Sankararaman · 2024 to 2026
$1.0M
NHLBI NIH HHS R01 HL095056NHLBI NIH HHS R01 HL170604NIDDK NIH HHS R01 DK132775NIGMS NIH HHS R35 GM153406
6 · The paper itself

Abstract

Whole-exome sequencing (WES) enables high-resolution interrogation of the contribution of rare coding variants to complex trait variation. However, existing methods for heritability estimation attributed to rare-coding variants are often limited by the effects of linkage disequilibrium (LD) and by the sparse nature of rare variant data. We introduce FLEX (

Identifiers

PMID41278985
PMCPMC12632619

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.