Evidence map›Paper›PMID 24995866›Full record

ReviewAmerican journal of human genetics2014

Rare-variant association analysis: study designs and statistical tests.

Seunggeung Lee, Gonçalo R Abecasis, Michael Boehnke, Xihong Lin

Registry-linked trialAbstract readReview
In one paragraph

Review in American journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07587853 (Investigation of Pathogenic Variants in DNA Repair and Meiotic Genes Associated With Ovarian Reserve and Folliculogenesis in Idiopathic Premature Ovarian Insufficiency Using Whole Exome Sequencing), which is not on this map. Cited by 644 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
644citing papers in PubMed, 10 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.

NCT07587853 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Investigation of Pathogenic Variants in DNA Repair and Meiotic Genes Associated With Ovarian Reserve and Folliculogenesis in Idiopathic Premature Ovarian Insufficiency Using Whole Exome Sequencing: A Case-Control Study

TypeobservationalSponsorAbdurrahman Hamdi İnanRan2026 to 2028Enrolled100ConditionsPremature Ovarian Insufficiency
3 · Its place in the literature

Who cites it

644 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  12. Germline Variation and Somatic Alterations in Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
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584 more citing papers are in PubMed but not listed here.

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

4 authors.

Seunggeung LeeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.
Gonçalo R AbecasisDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.
Michael BoehnkeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48105, USA.
Xihong LinDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. Electronic address: xlin@hsph.harvard.edu.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Superfund Metal Mixtures, Biomarkers and NeurodevelopmentP42ES016454 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BELLINGER, DAVID C · 2010 to 2015
$10.1M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN, HERNAN, MIGUEL · 2008 to 2017
$6.8M
DESIGN AND ANALYSIS OF HUMAN GENE MAPPING STUDIESR01HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 1993 to 2016
$5.5M
Robust Software Tools for Variant Identification and Functional AssessmentU01HG006513 · NHGRI · UNIVERSITY OF UTAH · PI ABECASIS, GONCALO, MARTH, GABOR T · 2012 to 2015
$4.2M
Computational and statistical models for human geneticsR01HG007022 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2012 to 2016
$3.0M
Statistical Methods for Correlated and High-Dimensional Biomedical DataR37CA076404 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG · 2007 to 2014
$2.5M
Statistical methods for rare variant effects in sequencing association studiesR00HL113164 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, SEUNGGEUN SHAWN · 2013 to 2015
$710k
Design and Analysis of Human Gene Mapping StudiesR56HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2017 to 2017
$400k
NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449NCI NIH HHS R37 CA076404NHGRI NIH HHS HG000376NHGRI NIH HHS HG006513NHGRI NIH HHS HG007022NHGRI NIH HHS R01 HG000376NHGRI NIH HHS R01 HG007022NHGRI NIH HHS R56 HG000376NHGRI NIH HHS U01 HG006513NHLBI NIH HHS R00 HL113164NHLBI NIH HHS R01 HL117626NIDDK NIH HHS P30 DK020572NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P42 ES016454
6 · The paper itself

Abstract

Despite the extensive discovery of trait- and disease-associated common variants, much of the genetic contribution to complex traits remains unexplained. Rare variants can explain additional disease risk or trait variability. An increasing number of studies are underway to identify trait- and disease-associated rare variants. In this review, we provide an overview of statistical issues in rare-variant association studies with a focus on study designs and statistical tests. We present the design and analysis pipeline of rare-variant studies and review cost-effective sequencing designs and genotyping platforms. We compare various gene- or region-based association tests, including burden tests, variance-component tests, and combined omnibus tests, in terms of their assumptions and performance. Also discussed are the related topics of meta-analysis, population-stratification adjustment, genotype imputation, follow-up studies, and heritability due to rare variants. We provide guidelines for analysis and discuss some of the challenges inherent in these studies and future research directions.

Indexed as

Genome-Wide Association StudyGenotypeHumans

Identifiers

PMID24995866
PMCPMC4085641

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Registered trials

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.