Evidence map›Paper›PMID 26941777›Full record

ArticleFrontiers in genetics2016

Family-Based Multi-SNP X Chromosome Analysis Using Parent Information.

Alison S Wise, Min Shi, Clarice R Weinberg

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Alison S WiseBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences Durham, NC, USA.
Min ShiBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences Durham, NC, USA.
Clarice R WeinbergBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences Durham, NC, USA.
National Institute of Environmental Health Sciences · US

Funding

Extending the Phenotype of Nonsyndromic Orofacial CleftsR01DE016148 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARAZITA, MARY L., WEINBERG, SETH M · 2004 to 2018
$19.7M
PHENOTYPE AND GENETICS IN OROFACIAL CLEFT FAMILIESP50DE016215 · NIDCR · UNIVERSITY OF IOWA · PI LOVETT, MICHAEL · 2004 to 2008
$10.1M
Molecular Genetic Epidemiology of Cleft Lip and PalateR37DE008559 · NIDCR · UNIVERSITY OF IOWA · PI MURRAY, JEFFREY C · 2004 to 2013
$6.8M
International Genetic Epidemiology of Oral CleftsR01DE014581 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI BEATY, TERRI H · 2004 to 2013
$6.6M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Statistical Methods For Genetic EpidemiologyZIAES040007 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 2009 to 2025
$6.5M
SNP DISCOVERY AND ANALYSIS IN CRANIOFACIAL BIRTH DEFECTSR01DE013939 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI SCOTT, ALAN F · 2000 to 2004
$4.3M
International Consortium to Identify Genes and Interactions Controlling Oral ClefU01DE018993 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI BEATY, TERRI H · 2007 to 2008
$1.6M
GENETIC MAPPING STUDIES OF ORAL-FACIAL CLEFTS IN CHINAR01DE009886 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI MARAZITA, MARY L · 1992 to 2002
$1.0M
STATISTICAL METHODS IN REPRODUCTIVE EPIDEMIOLOGYZ01ES040007 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 1997 to 2008
$512k
Planning International Orofacial Cleft Genetic StudiesR21DE016930 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARAZITA, MARY L · 2006 to 2007
$293k
Intramural NIH HHS Z01 ES040007NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004446NIDCR NIH HHS P50 DE016215NIDCR NIH HHS R01 DE009886NIDCR NIH HHS R01 DE013939NIDCR NIH HHS R01 DE014581NIDCR NIH HHS R01 DE016148NIDCR NIH HHS R21 DE016930NIDCR NIH HHS R37 DE008559NIDCR NIH HHS U01 DE018993
6 · The paper itself

Abstract

We propose a method for association analysis of haplotypes on the X chromosome that offers both improved power and robustness to population stratification in studies of affected offspring and their parents if all three have been genotyped. The method makes use of assumed parental haplotype exchangeability (PHE), a weaker assumption than Hardy-Weinberg equilibrium (HWE). PHE requires that in the source population, of the three X chromosome haplotypes carried by the two parents, each is equally likely to be carried by the father. We propose a pseudo-sibling approach that exploits that exchangeability assumption. Our method extends the single-SNP PIX-LRT method to multiple SNPs in a high linkage block. We describe methods for testing the PHE assumption and also for determining how apparent violations can be distinguished from true fetal effects or maternally-mediated effects. We show results of simulations that demonstrate nominal type I error rate and good power. The methods are then applied to dbGaP data on the birth defect oral cleft, using both Asian and Caucasian families with cleft.

Indexed as

case-parent triadhaplotype analysismaternally-mediated effectsoral cleftX chromosome

Identifiers

PMID26941777
PMCPMC4761843
OpenAlexW2324750661

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.