Evidence map›Paper›PMID 42255514›Full record

ArticleJournal of the Endocrine Society2026

Genome sequencing identifies monogenic causes in adults with metabolic diseases.

Volkan Okur, Amanda Marcus, John N Falcone, Maurice A Hurd, Sarah L Stewart, Katerine Claudio, Jyothi Manohar, Fana Dealla, Sonal Kumar, Michele Yeung and 28 more

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

38 authors.

Volkan OkurMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.ORCID https://orcid.org/0000-0001-6461-0957
Amanda MarcusDivision of Endocrinology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID https://orcid.org/0009-0005-7087-7152
John N FalconeHolman Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.
Maurice A HurdHolman Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.
Sarah L StewartWeill Cornell Medical College, New York, NY 10065, USA.
Katerine ClaudioEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Jyothi ManoharEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Fana DeallaEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Sonal KumarDivision of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Michele YeungDivision of Endocrinology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Gregory DakinDepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USA.
Omar Bellorin-MarinDepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USA.
Cheguevara AfanehDepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USA.
Lisa C HudginsDepartment of Pediatric Cardiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-8560-9477
Esther WeiDepartment of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Laura GingrasDepartment of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Alexandra KingDepartment of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Judy TungDepartment of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Atteeq U RehmanMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Amanda Thomas-WilsonMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Saurav GuhaMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Avinash AbhyankarMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Ashley L WilsonMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Shahid Yar KhanMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Sowmya Thirumalai SrinivasaMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Shruti PhadkeMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Priya KrithivasanMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Caroline NavaMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.ORCID https://orcid.org/0000-0003-1272-0518
Shuibing ChenDepartment of Surgery, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-6294-5187
Ryan SmithEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Theresa Y MacDonaldEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Megan J RitterSection of Endocrinology, Diabetes, Nutrition and Weight Management, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.ORCID https://orcid.org/0000-0002-5093-0658
Laura C AlonsoDivision of Endocrinology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID https://orcid.org/0000-0001-5056-8970
Olivier ElementoEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID https://orcid.org/0000-0002-8061-9617
Miriam S UdlerDiabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Jessica M PeñaDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Vaidehi JobanputraMolecular Diagnostics, New York Genome Center, New York, NY 10013, USA.
Marcus D GoncalvesDivision of Endocrinology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID https://orcid.org/0000-0002-0784-9248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: A subset of metabolic diseases is caused by rare monogenic variants. Next-generation sequencing offers a promising approach for identifying such variants, but its application in clinical diagnostics for metabolic disease is limited and the diagnostic yield is unknown. Objective: To determine the diagnostic yield of clinical genome sequencing (GS) in adults presenting with common metabolic diseases. Methods: We performed clinical GS on 560 adults seen in New York clinical practices between August 2020 and December 2023. Participants presented with hyperlipidemia/hypertriglyceridemia (HLD/HTG), pre-diabetes, Type 2 diabetes mellitus (T2DM), and/or metabolic dysfunction-associated fatty liver disease/steatohepatitis (MAFLD/MASH). Variants in a curated set of 90 genes associated with monogenic forms of these conditions were classified as Pathogenic (P), Likely Pathogenic (LP), or Variant of Uncertain Significance (VUS) using ACMG/ClinGen guidelines. P/LP variants in ACMG secondary findings (v3.1) genes were also reported with participant consent. Results: The cohort had a female-to-male ratio of 1.7, with 18.6% African American and 22.6% Latino participants. The most common enrollment diagnoses were HLD/HTG (25%), T2DM (9%), pre-diabetes (7%), and MAFLD/MASH (4%). Many participants had multiple conditions (42% with two, 12% with three). Approximately one-third had reportable variants, with 6% classified as P/LP. The most common P/LP variants were in APOB and LDLR. Conclusion: The prevalence of clinically significant (P/LP) variants related to primary metabolic disease in this cohort was 6%. An additional 5.5% of participants had P/LP variants in ACMG secondary findings genes. Future studies should refine participant selection for genome sequencing to optimize its diagnostic and clinical value.

Indexed as

diabetesgenome sequencinghyperlipidemiametabolic diseaseNGS

Identifiers

PMID42255514
PMCPMC13234609

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Registered trials

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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.