Evidence map›Paper›PMID 32193444›Full record

ArticleScientific reports2020

Identification of Novel Alzheimer's Disease Loci Using Sex-Specific Family-Based Association Analysis of Whole-Genome Sequence Data.

Dmitry Prokopenko, Julian Hecker, Rory Kirchner, Brad A Chapman, Oliver Hoffman, Kristina Mullin, Winston Hide, Lars Bertram, Nan Laird, Dawn L DeMeo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic risk in Alzheimer's disease.NPJ systems biology and applications · 2026
    Review
  5. Science advances · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Alzheimer's Disease Sequencing Project release 4 whole genome sequencing dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  10. Alzheimer's Disease Sequencing Project Release 4 Whole Genome Sequencing Dataset.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
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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

12 authors at 6 institutions in 5 countries.

Dmitry ProkopenkoGenetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Julian HeckerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Rory KirchnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4814-5885
Brad A ChapmanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Oliver HoffmanDepartment of Clinical Pathology, University of Melbourne, Victoria, 3000, Melbourne, Australia.
Kristina MullinGenetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Winston HideHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8621-3271
Lars BertramLübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany.
Nan LairdDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Dawn L DeMeoHarvard Medical School, Boston, MA, USA.
Christoph LangeDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. clange@hsph.harvard.edu.
Rudolph E TanziGenetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. tanzi@helix.mgh.harvard.edu.ORCID http://orcid.org/0000-0002-7032-1454
Harvard University · USBrigham and Women's Hospital · USBeth Israel Deaconess Medical Center · USMassachusetts General Hospital · USThe University of Melbourne · AUUniversity of Oslo · NO

Funding

Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2016 to 2020
$12.6M
Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
The impact of AD-associated genetic variants in 3D human mixed neural-glial models of ADR01AG061891 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI KIM, DOO YEON, TANZI, RUDOLPH EMILE · 2019 to 2023
$3.8M
NHLBI NIH HHS P01 HL105339NHLBI NIH HHS P01 HL114501NHLBI NIH HHS P01 HL132825NIA NIH HHS R01 AG061891
6 · The paper itself

Abstract

With the advent of whole genome-sequencing (WGS) studies, family-based designs enable sex-specific analysis approaches that can be applied to only affected individuals; tests using family-based designs are attractive because they are completely robust against the effects of population substructure. These advantages make family-based association tests (FBATs) that use siblings as well as parents especially suited for the analysis of late-onset diseases such as Alzheimer's Disease (AD). However, the application of FBATs to assess sex-specific effects can require additional filtering steps, as sensitivity to sequencing errors is amplified in this type of analysis. Here, we illustrate the implementation of robust analysis approaches and additional filtering steps that can minimize the chances of false positive-findings due to sex-specific sequencing errors. We apply this approach to two family-based AD datasets and identify four novel loci (GRID1, RIOK3, MCPH1, ZBTB7C) showing sex-specific association with AD risk. Following stringent quality control filtering, the strongest candidate is ZBTB7C (P

Indexed as

Data AnalysisDatabases, GeneticFamilyGenetic Association StudiesGenome-Wide Association StudyWhole Genome SequencingAllelesAlzheimer DiseaseBTB-POZ DomainFemaleGenetic LociHumansIntracellular Signaling Peptides and ProteinsMaleMetalloproteasesRiskIntracellular Signaling Peptides and ProteinsMetalloproteasesZBTB7C protein, human

Identifiers

PMID32193444
PMCPMC7081222
OpenAlexW3011085431

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.