Evidence map›Paper›PMID 16451646›Full record

ArticleBMC genetics2005

Linkage analysis of alcohol dependence using both affected and discordant sib pairs.

Pei-Ying Shih, Tao Wang, Chao Xing, Moumita Sinha, Yeunjoo Song, Robert C Elston

Abstract read
In one paragraph

Article in BMC genetics, 2005. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Pei-Ying ShihDepartment of Epidemiology & Biostatistics, Case Western Reserve University, 2103 Cornell Road, Wolstein Research Building, Cleveland, OH 44106, USA. shih@darwin.epbi.cwru.edu
Tao Wang
Chao Xing
Moumita Sinha
Yeunjoo Song
Robert C Elston

Funding

LINKAGE CONSORTIUM FOR END-STAGE RENAL DISEASEU01DK057292 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI IYENGAR, SUDHA K · 1999 to 2009
$13.1M
X-LINKED EXTENSION OF THE REVISED HASEMAN-ELSTON ALGORITHM FOR LINKAGE ANALYSISP41RR003655 · NCRR · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1987 to 2011
$11.5M
GENETIC ANALYSIS OF MULTIFACTORIAL TRAITSR37GM028356 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI ELSTON, ROBERT C. · 1998 to 2007
$2.9M
GENETIC ANALYSIS OF MULTIFACTORIAL TRAITSR01GM028356 · NIGMS · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1985 to 1997
–
NCRR NIH HHS P41 RR003655NCRR NIH HHS RR03655NIDDK NIH HHS DK-57292NIDDK NIH HHS U01 DK057292NIGMS NIH HHS GM28356NIGMS NIH HHS R01 GM028356NIGMS NIH HHS R37 GM028356
6 · The paper itself

Abstract

The basic idea of affected-sib-pair (ASP) linkage analysis is to test whether the inheritance pattern of a marker deviates from Mendelian expectation in a sample of ASPs. The test depends on an assumed Mendelian control distribution of the number of marker alleles shared identical by descent (IBD), i.e., 1/4, 1/2, and 1/4 for 2, 1, and 0 allele(s) IBD, respectively. However, Mendelian transmission may not always hold, for example because of inbreeding or meiotic drive at the marker or a nearby locus. A more robust and valid approach is to incorporate discordant-sib-pairs (DSPs) as controls to avoid possible false-positive results. To be robust to deviation from Mendelian transmission, here we analyzed Collaborative Study on the Genetics of Alcoholism data by modifying the ASP LOD score method to contrast the estimated distribution of the number of allele(s) shared IBD by ASPs with that by DSPs, instead of with the expected distribution under the Mendelian assumption. This strategy assesses the difference in IBD sharing between ASPs and the IBD sharing between DSPs. Further, it works better than the conventional LOD score ASP linkage method in these data in the sense of avoiding false-positive linkage evidence.

Indexed as

Chromosome MappingSiblingsAlcoholismAllelesChromosomes, Human, Pair 7FemaleGenetic MarkersHumansMalePedigreeSoftwareGenetic Markers

Identifiers

PMID16451646
PMCPMC1866749

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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.