Evidence map›Paper›PMID 28214848›Full record

ArticleHuman heredity2016

Human Birth Weight and Reproductive Immunology: Testing for Interactions between Maternal and Offspring KIR and HLA-C Genes.

Michelle M Clark, Olympe Chazara, Eric M Sobel, Håkon K Gjessing, Per Magnus, Ashley Moffett, Janet S Sinsheimer

Open access · hybridAbstract read
In one paragraph

Article in Human heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Michelle M ClarkDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Olympe Chazara
Eric M Sobel
Håkon K Gjessing
Per Magnus
Ashley Moffett
Janet S Sinsheimer
University of California, Los Angeles · USNorwegian Institute of Public Health · NOUniversity of Cambridge · GB

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
British Heart Foundation PG/09/077/27964NHGRI NIH HHS R01 HG006139NHGRI NIH HHS T32 HG002536NIEHS NIH HHS N01 ES075558NIGMS NIH HHS R01 GM053275NINDS NIH HHS U01 NS047537Wellcome Trust
6 · The paper itself

Abstract

BACKGROUND/

aimsMaternal and offspring cell contact at the site of placentation presents a plausible setting for maternal-fetal genotype (MFG) interactions affecting fetal growth. We test hypotheses regarding killer cell immunoglobulin-like receptor (KIR) and HLA-C MFG effects on human birth weight by extending the quantitative MFG (QMFG) test.

methodsUntil recently, association testing for MFG interactions had limited applications. To improve the ability to test for these interactions, we developed the extended QMFG test, a linear mixed-effect model that can use multi-locus genotype data from families.

resultsWe demonstrate the extended QMFG test's statistical properties. We also show that if an offspring-only model is fit when MFG effects exist, associations can be missed or misattributed. Furthermore, imprecisely modeling the effects of both KIR and HLA-C could result in a failure to replicate if these loci's allele frequencies differ among populations. To further illustrate the extended QMFG test's advantages, we apply the extended QMFG test to a UK cohort study and the Norwegian Mother and Child Cohort (MoBa) study.

conclusionWe find a significant KIR-HLA-C interaction effect on birth weight. More generally, the QMFG test can detect genetic associations that may be missed by standard genome-wide association studies for quantitative traits.

Indexed as

Birth WeightCohort StudiesFemaleFetal DevelopmentGenome-Wide Association StudyGenotypeHLA-C AntigensHumansPregnancyReceptors, KIRHLA-C AntigensReceptors, KIRFamily-based associationGene-gene interactionHLAIntergenerational effectsKIRMaternal-fetal genotype interactionQuantitative traitsThe Norwegian Mother and Child Cohort (MoBa) StudyVariance components

Identifiers

PMID28214848
PMCPMC5557278
OpenAlexW2588990079

What OpenQuestion 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 OpenQuestion graph.