Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
QIMR Home Page
GenEpi Home Page
About GenEpi
Publications
Contacts
Research
Staff Index
Collaborators
Software Tools
Computing Resources
Studies
Search
GenEpi Intranet
PMID
17907812
TITLE
Linkage analysis of a model quantitative trait in humans: finger ridge count shows significant multivariate linkage to 5q14.1.
ABSTRACT
The finger ridge count (a measure of pattern size) is one of the most heritable complex traits studied in humans and has been considered a model human polygenic trait in quantitative genetic analysis. Here, we report the results of the first genome-wide linkage scan for finger ridge count in a sample of 2,114 offspring from 922 nuclear families. Both univariate linkage to the absolute ridge count (a sum of all the ridge counts on all ten fingers), and multivariate linkage analyses of the counts on individual fingers, were conducted. The multivariate analyses yielded significant linkage to 5q14.1 (Logarithm of odds [LOD] = 3.34, pointwise-empirical p-value = 0.00025) that was predominantly driven by linkage to the ring, index, and middle fingers. The strongest univariate linkage was to 1q42.2 (LOD = 2.04, point-wise p-value = 0.002, genome-wide p-value = 0.29). In summary, the combination of univariate and multivariate results was more informative than simple univariate analyses alone. Patterns of quantitative trait loci factor loadings consistent with developmental fields were observed, and the simple pleiotropic model underlying the absolute ridge count was not sufficient to characterize the interrelationships between the ridge counts of individual fingers.
DATE PUBLISHED
2007 Sep
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2007/05/08
accepted 2007/08/08
pubmed 2007/10/03 09:00
medline 2007/11/02 09:00
entrez 2007/10/03 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Medland SE Medland Sarah E SE Genetic Epidemiology Unit, Queensland Institute of Medical Research, Brisbane, Australia. smedland@vcu.edu
Loesch DZ Loesch Danuta Z DZ
Mdzewski B Mdzewski Bogdan B
Zhu G Zhu Gu G
Montgomery GW Montgomery Grant W GW
Martin NG Martin Nicholas G NG
INVESTIGATORS
JOURNAL
VOLUME: 3
ISSUE: 9
TITLE: PLoS genetics
ISOABBREVIATION: PLoS Genet
YEAR: 2007
MONTH: Sep
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1553-7404
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: PLoS Genet
COUNTRY: United States
ISSNLINKING: 1553-7390
NLMUNIQUEID: 101239074
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Comparative Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
CommentIn Forensic Sci Int Genet. 2018 Sep;36:e14-e16 29941291
GRANTS
GRANTID AGENCY COUNTRY
R01 AA007535 NIAAA NIH HHS United States
R01 AA014041 NIAAA NIH HHS United States
N01HG65403 NHGRI NIH HHS United States
AA013320 NIAAA NIH HHS United States
P50 AA011998 NIAAA NIH HHS United States
R01 AA007728 NIAAA NIH HHS United States
R01 AA013326 NIAAA NIH HHS United States
AA013326 NIAAA NIH HHS United States
AA07728 NIAAA NIH HHS United States
AA11998 NIAAA NIH HHS United States
AA014041 NIAAA NIH HHS United States
R01 AA010249 NIAAA NIH HHS United States
R37 AA007728 NIAAA NIH HHS United States
R01 AA013320 NIAAA NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adolescent
Adult
Chi-Square Distribution
Chromosomes, Human, Pair 5
Cohort Studies
Dermatoglyphics
Female
Fingers
Genetic Linkage
Genome, Human
Humans
Likelihood Functions
Lod Score
Male
Models, Genetic
Multivariate Analysis
Quantitative Trait Loci
Twin Studies as Topic methods
Twins, Dizygotic methods
Twins, Monozygotic methods
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's