Evidence map›Paper›PMID 11880950›Full record

ArticleAmerican journal of human genetics2002

Quantitative-trait homozygosity and association mapping and empirical genomewide significance in large, complex pedigrees: fasting serum-insulin level in the Hutterites.

Mark Abney, Carole Ober, Mary Sara McPeek

Abstract read
In one paragraph

Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

75 citing papers in PubMed.

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  9. Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes.Proceedings of the National Academy of Sciences of the United States of America · 2018
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15 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

3 authors.

Mark AbneyDepartment of Human Genetics, University of Chicago, 920 East 85th Street, Chicago, IL 60637, USA. abney@genetics.uchicago.edu
Carole Ober
Mary Sara McPeek

Funding

T CELL CO-STIMULATION IN ALLERGIC ASTHMAP50HL056399 · NHLBI · UNIVERSITY OF CHICAGO · PI WHITE, STEVEN R · 1996 to 2005
$9.1M
Methods for Human Genetic MappingR01HG001645 · NHGRI · UNIVERSITY OF CHICAGO · PI MCPEEK, MARY SARA · 2003 to 2023
$6.8M
LINKAGE STUDIES OF ASTHMA--SEARCH FOR SUSCEPTIBILITY LOCU01HL049596 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 1992 to 2001
$1.6M
Robust Methods for Indentifying Genes for Complex TraitsR01DK055889 · NIDDK · UNIVERSITY OF CHICAGO · PI COX, NANCY J. · 1998 to 2004
$1.3M
METHODS FOR HUMAN GENETIC LINKAGE MAPPINGR29HG001645 · NHGRI · UNIVERSITY OF CHICAGO · PI MCPEEK, MARY SARA · 1997 to 2001
$126k
NHGRI NIH HHS HG 01645NHGRI NIH HHS R01 HG001645NHGRI NIH HHS R29 HG001645NHLBI NIH HHS HL 49596NHLBI NIH HHS HL 56399NHLBI NIH HHS P50 HL056399NHLBI NIH HHS U01 HL049596NIDDK NIH HHS DK55889NIDDK NIH HHS R01 DK055889
6 · The paper itself

Abstract

We present methods for linkage and association mapping of quantitative traits for a founder population with a large, known genealogy. We detect linkage to quantitative-trait loci (QTLs) through a multipoint homozygosity-mapping method. We propose two association methods, one of which is single point and uses a general two-allele model and the other of which is multipoint and uses homozygosity by descent for a particular allele. In all three methods, we make extensive use of the pedigree and genotype information, while keeping the computations simple and efficient. To assess significance, we have developed a permutation-based test that takes into account the covariance structure due to relatedness of individuals and can be used to determine empirical genomewide and locus-specific P values. In the case of multivariate-normally distributed trait data, the permutation-based test is asymptotically exact. The test is broadly applicable to a variety of mapping methods that fall within the class of linear statistical models (e.g., variance-component methods), under the assumption of random ascertainment with respect to the phenotype. For obtaining genomewide P values, our proposed method is appropriate when positions of markers are independent of the observed linkage signal, under the null hypothesis. We apply our methods to a genome screen for fasting insulin level in the Hutterites. We detect significant genomewide linkage on chromosome 19 and suggestive evidence of QTLs on chromosomes 1 and 16.

Indexed as

HomozygoteQuantitative Trait, HeritableAllelesChromosome MappingChromosomes, Human, Pair 1Chromosomes, Human, Pair 16Chromosomes, Human, Pair 19EthnicityFastingFemaleFounder EffectGenetic LinkageGenome, HumanHumansInsulinMaleInsulin

Identifiers

PMID11880950
PMCPMC379120

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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.