Evidence map›Paper›PMID 31585107›Full record

ArticleAmerican journal of human genetics2019

A Rare Variant Nonparametric Linkage Method for Nuclear and Extended Pedigrees with Application to Late-Onset Alzheimer Disease via WGS Data.

Linhai Zhao, Zongxiao He, Di Zhang, Gao T Wang, Alan E Renton, Badri N Vardarajan, Michael Nothnagel, Alison M Goate, Richard Mayeux, Suzanne M Leal

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. PI31 expression is neuroprotective in a mouse model of early-onset parkinsonism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. The ABC's of Alzheimer risk gene ABCA7.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Review
  10. Rational design of proteasome inhibitors based on the structure of the endogenous inhibitor PI31/Fub1.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Yeast PI31 inhibits the proteasome by a direct multisite mechanism.Nature structural & molecular biology · 2022
    Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. The Genetics of Alzheimer's Disease in the Chinese Population.International journal of molecular sciences · 2020
    Review
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

10 authors at 5 institutions in 2 countries.

Linhai ZhaoCenter for Statistical Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Zongxiao HeCenter for Statistical Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Di ZhangCenter for Statistical Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Gao T WangDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637, USA.
Alan E RentonDepartment of Neuroscience and Ronald M. Loeb Center for Alzheimer Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Badri N VardarajanDepartment of Neurology, Taub Institute on Alzheimer Disease and the Aging Brain, and Gertrude H. Sergievsky Center, Columbia University, New York, NY 10027, USA.
Michael NothnagelCologne Center for Genomics, Department of Statistical Genetics and Bioinformatics, University of Cologne, 50931 Cologne, Germany; University Hospital Cologne, 50937 Cologne, Germany.
Alison M GoateDepartment of Neuroscience and Ronald M. Loeb Center for Alzheimer Disease, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Departments of Genetics and Genomic Sciences and Neurology, Mount Sinai School of Medicine, New York, NY 10029, USA.
Richard MayeuxDepartment of Neurology, Taub Institute on Alzheimer Disease and the Aging Brain, and Gertrude H. Sergievsky Center, Columbia University, New York, NY 10027, USA.
Suzanne M LealCenter for Statistical Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Neurology, Taub Institute on Alzheimer Disease and the Aging Brain, and Gertrude H. Sergievsky Center, Columbia University, New York, NY 10027, USA; Center for Statistical Genetics, Columbia University, New York, NY 10027, USA. Electronic address: sml3@cumc.columbia.edu.
Baylor College of Medicine · USColumbia University · USIcahn School of Medicine at Mount Sinai · USUniversity Hospital Cologne · DEUniversity of Chicago · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)U24AG056270 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, TATIANA M. FOROUD · 2017 to 2026
$31.4M
Genetic Epidemiology and Multi-Omics Analyses in Familial and Sporadic Alzheimer's Disease Among Secular Caribbean Hispanics and Religious OrderR01AG067501 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, MILLER, GARY W · 2020 to 2024
$11.7M
Genetic Epidemiology of Alzheimer's Disease in HispanicsR37AG015473 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2004 to 2013
$10.8M
Genetic Consortium for Late Onset Alzheimer's DiseaseU24AG026395 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2005 to 2009
$10.1M
Epidemiology of Familial Late-Onset Alzheimer's DiseaseR01AG041797 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2012 to 2016
$4.2M
Genetic Studies of Alzheimer's Disease in Caribbean HispanicsRF1AG015473 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2015 to 2018
$3.3M
Family-based methods to analyze sequence data to elucidate AD etiologyRF1AG058131 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEAL, SUZANNE M · 2018 to 2018
$3.0M
Genetic Epidemiology and Multi-Omics Analyses in Familial and Sporadic Alzheimer's Disease Among Secular Caribbean Hispanics and Religious OrdersR56AG063908 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, MILLER, GARY W · 2019 to 2019
$2.3M
Computational tools for sequence-based large-scale epidemiology studiesR01HG008972 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEAL, SUZANNE M, PENG, BO · 2016 to 2019
$1.6M
Genetic Modifiers of Alzheimer Disease in PSEN1 Mutation Carriers in Puerto RicoR56AG051876 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEE, JOSEPH HYUNGWOO, MAYEUX, RICHARD P · 2016 to 2016
$842k
NHGRI NIH HHS R01 HG008972NIA NIH HHS R01 AG041797NIA NIH HHS R01 AG067501NIA NIH HHS R37 AG015473NIA NIH HHS R56 AG051876NIA NIH HHS R56 AG063908NIA NIH HHS RF1 AG015473NIA NIH HHS RF1 AG058131NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG026395NIA NIH HHS U24 AG056270
6 · The paper itself

Abstract

To analyze family-based whole-genome sequence (WGS) data for complex traits, we developed a rare variant (RV) non-parametric linkage (NPL) analysis method, which has advantages over association methods. The RV-NPL differs from the NPL in that RVs are analyzed, and allele sharing among affected relative-pairs is estimated only for minor alleles. Analyzing families can increase power because causal variants with familial aggregation usually have larger effect sizes than those underlying sporadic diseases. Differing from association analysis, for NPL only affected individuals are analyzed, which can increase power, since unaffected family members can be susceptibility variant carriers. RV-NPL is robust to population substructure and admixture, inclusion of nonpathogenic variants, as well as allelic and locus heterogeneity and can readily be applied outside of coding regions. In contrast to analyzing common variants using NPL, where loci localize to large genomic regions (e.g., >50 Mb), mapped regions are well defined for RV-NPL. Using simulation studies, we demonstrate that RV-NPL is substantially more powerful than applying traditional NPL methods to analyze RVs. The RV-NPL was applied to analyze 107 late-onset Alzheimer disease (LOAD) pedigrees of Caribbean Hispanic and European ancestry with WGS data, and statistically significant linkage (LOD ≥ 3.8) was found with RVs in PSMF1 and PTPN21 which have been shown to be involved in LOAD etiology. Additionally, nominally significant linkage was observed with RVs in ABCA7, ACE, EPHA1, and SORL1, genes that were previously reported to be associated with LOAD. RV-NPL is an ideal method to elucidate the genetic etiology of complex familial diseases.

Indexed as

Genetic LinkageWhole Genome SequencingAlzheimer DiseaseFemaleHumansMalePedigreeAlzheimer diseasenonparametric linkage analysisrare variant

Identifiers

PMID31585107
PMCPMC6817540
OpenAlexW2978730224

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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.