Evidence map›Paper›PMID 29955165›Full record

ReviewMolecular psychiatry2019

Rediscovering the value of families for psychiatric genetics research.

David C Glahn, Vishwajit L Nimgaonkar, Henriette Raventós, Javier Contreras, Andrew M McIntosh, Pippa A Thomson, Assen Jablensky, Nina S McCarthy, Jac C Charlesworth, Nicholas B Blackburn and 11 more

Abstract readReview
In one paragraph

Review in Molecular psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Rare protein-disrupting variants inmedRxiv : the preprint server for health sciences · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Independent inheritance of cognition and bipolar disorder in a family sample.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. International journal of molecular sciences · 2022
    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

21 authors.

David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. david.glahn@yale.edu.ORCID http://orcid.org/0000-0002-4749-6977
Vishwajit L NimgaonkarDepartments of Psychiatry and Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Henriette RaventósCentro de Investigación Biología Celular y Molecular, Universidad de Costa Rica, San José, Costa Rica.ORCID http://orcid.org/0000-0001-9423-8308
Javier ContrerasCentro de Investigación Biología Celular y Molecular, Universidad de Costa Rica, San José, Costa Rica.
Andrew M McIntoshDivision of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588
Pippa A ThomsonCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4208-5271
Assen JablenskyCentre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia.
Nina S McCarthyCentre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Crawley, WA, Australia.
Jac C CharlesworthMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0001-6201-3518
Nicholas B BlackburnSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.ORCID http://orcid.org/0000-0002-9774-1539
Juan Manuel PeraltaSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.
Emma E M KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Samuel R MathiasDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Seth A AmentDepartment of Psychiatry, Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Francis J McMahonHuman Genetics Branch and Genetic Basis of Mood and Anxiety Disorders Section, National Institute of Mental Health, Intramural Research Program, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-9469-305X
Ruben C GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Maja BucanDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.
Laura AlmasyDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Raquel E GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, Department of Human Genetics, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.

Funding

Mapping genes that contribute to bipolar disorderZIAMH002810 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$31.2M
NEUROBEHAVIORAL STUDY OF SCHIZOPHRENIAR01MH042191 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1987 to 2018
$7.1M
A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
A Neurobehavioral Family Study of SchizophreniaR01MH061622 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 2001 to 2018
$4.9M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Gene Networks Influencing Psychotic Dysconnectivity in African AmericansR01MH106324 · NIMH · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2015 to 2019
$4.2M
2/3: Pedigree-Based Whole Genome Sequencing of Affective and Psychotic DisordersU01MH105632 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN · 2015 to 2018
$4.2M
Construction of a Biomedical Research Facility at the U*C06RR020547 · NCRR · UNIV/TEXAS BROWNSVILLE & SOUTHMOST COLL · PI KROUSE, JOHN H · 2010 to 2010
$4.0M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
1/3:Pedigree-Based Whole Genome Sequencing of Affective and Psychotic DisordersU01MH105630 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2015 to 2018
$1.4M
Medical Research Council G0700704Medical Research Council MR/K026992/1NCRR NIH HHS C06 RR020547NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH042191NIMH NIH HHS R01 MH061622NIMH NIH HHS R01 MH063480NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R01 MH106324NIMH NIH HHS U01 MH105630NIMH NIH HHS U01 MH105632NIMH NIH HHS U01 MH105634U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH042191U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH061622U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH063480U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH078143U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH083824U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH105630U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH105632U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH105634
6 · The paper itself

Abstract

As it is likely that both common and rare genetic variation are important for complex disease risk, studies that examine the full range of the allelic frequency distribution should be utilized to dissect the genetic influences on mental illness. The rate limiting factor for inferring an association between a variant and a phenotype is inevitably the total number of copies of the minor allele captured in the studied sample. For rare variation, with minor allele frequencies of 0.5% or less, very large samples of unrelated individuals are necessary to unambiguously associate a locus with an illness. Unfortunately, such large samples are often cost prohibitive. However, by using alternative analytic strategies and studying related individuals, particularly those from large multiplex families, it is possible to reduce the required sample size while maintaining statistical power. We contend that using whole genome sequence (WGS) in extended pedigrees provides a cost-effective strategy for psychiatric gene mapping that complements common variant approaches and WGS in unrelated individuals. This was our impetus for forming the "Pedigree-Based Whole Genome Sequencing of Affective and Psychotic Disorders" consortium. In this review, we provide a rationale for the use of WGS with pedigrees in modern psychiatric genetics research. We begin with a focused review of the current literature, followed by a short history of family-based research in psychiatry. Next, we describe several advantages of pedigrees for WGS research, including power estimates, methods for studying the environment, and endophenotypes. We conclude with a brief description of our consortium and its goals.

Indexed as

AllelesFamilyGene FrequencyGenetic VariationGenotypeHumansMental DisordersMental HealthPedigreePhenotypeResearch DesignSample SizeSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID29955165
PMCPMC7028329

What Socratic 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 Socratic graph.