Common Genetic Variants Influence Whorls in Fingerprint Patterns

Journal of Investigative Dermatology

Volumn 136, Issue 4, 2016, Pages 859-862

  Ho, Yvonne Y W ^a,b   Evans, David M ^b,c   Montgomery, Grant W ^a   Henders, Anjali K ^a   Kemp, John P ^b,c   Timpson, Nicholas J ^c   St Pourcain, Beate ^c,d   Heath, Andrew C ^e   Madden, Pamela A F ^e   Loesch, Danuta Z ^f   McNevin, Dennis ^g   Daniel, Runa ^h   Davey Smith, George ^c   Martin, Nicholas G ^a   Medland, Sarah E ^a  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d MAX PLANCK INSTITUTE FOR PSYCHOLINGUISTICS   (Netherlands)

^e WASHINGTON UNIVERSITY   (United States)

^f LA TROBE UNIVERSITY   (Australia)

^g UNIVERSITY OF CANBERRA   (Australia)

^h Office of the Chief Forensic Scientist   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

SPACER DNA;

ADAMTS9 GENE; ARTICLE; FINGER DERMATOGLYPHICS; GENE EXPRESSION; GENE FREQUENCY; GENE INTERACTION; GENETIC VARIABILITY; GENOTYPE; HERITABILITY; HUMAN; META ANALYSIS (TOPIC); OLA1 GENE; ONCOGENE; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; X CHROMOSOME; BIOLOGICAL MODEL; DERMATOGLYPHICS; FAMILY HEALTH; FINGER; GENETIC VARIATION; LONGITUDINAL STUDY; MULTIVARIATE ANALYSIS; PARENT; PHENOTYPE; QUEENSLAND; UNITED KINGDOM;

DERMATOGLYPHICS; FAMILY HEALTH; FINGERS; GENE FREQUENCY; GENETIC VARIATION; GENOTYPE; HUMANS; LONGITUDINAL STUDIES; META-ANALYSIS AS TOPIC; MODELS, GENETIC; MULTIVARIATE ANALYSIS; PARENTS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUEENSLAND; UNITED KINGDOM;

EID: 84978086948     PISSN: 0022202X     EISSN: 15231747     Source Type: Journal    
DOI: 10.1016/j.jid.2015.10.062     Document Type: Article

References (15)

1. Abecasis, G.R., Cherny, S.S., Cookson, W.O., et al. Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet 30 (2002), 97–101.
2. Boker, S., Neale, M., Maes, H., et al. OpenMx 1.2 User Guide. 2012, Department of Psychology, University of Virginia, Charlottesville, VA.
3. Boyd, A., Golding, J., Macleod, J., et al. Cohort profile: the “children of the 90s”—the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol 42 (2013), 111–127.
4. Holt, S., The genetics of dermal ridges. 1968, Charles C. Thomas, Springfield, IL.
5. Li, M., Gui, H., Kwan, J., et al. GATES: a rapid and powerful gene-based association test using extended Simes procedure. Am J Hum Genet 88 (2011), 283–293.
6. Machado, J., Fernandes, P., Roquetti, R., et al. Digital dermatoglyphic heritability differences as evidenced by a female twin study. Twin Res Hum Genet 13 (2010), 482–489.
7. Martin, N., Eaves, L., Loesch, D., A genetical analysis of covariation between finger ridge counts. Ann Hum Biol 9 (1982), 539–552.
8. Medland, S., Loesch, D., Mdzewski, B., et al. Linkage analysis of a model quantitative trait in humans: finger ridge count shows significant multivariate linkage to 5q14.1. PLoS Genet 3 (2007), 1736–1744.
9. Medland, S., Park, D., Loesch, D., et al. Ridgecounter: a program for obtaining semi-automated finger ridge counts. Ann Hum Biol 34 (2007), 504–517.
10. Medland, S., Zayats, T., Glaser, B., et al. A variant in LIN28B is associated with 2D:4D finger-length ratio, a putative retrospective biomarker of prenatal testosterone exposure. Am J Hum Genet 86 (2010), 519–525.
11. Mulvihill, J., Smith, D., The genesis of dermatoglyphics. J Pediatr 75 (1969), 579–589.
12. Penrose, L., Memorandum on dermatoglyphic nomenclature, Birth Defects Original Article Series, vol. 4. 1968, National Foundation-March of Dimes, NY.
13. Willer, C., Li, Y., Abecasis, G., METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26 (2010), 2190–2191.
14. Yao, J., Zhou, B., Zhang, J., et al. A new tumor suppressor LncRNA ADAMTS9-AS2 is regulated by DNMT1 and inhibits migration of glioma cells. Tumour Biol 35 (2014), 1–10.
15. Zhang, J., Rubio, V., Zheng, S., et al. Knockdown of OLA1, a regulator of oxidative stress response, inhibits motility and invasion of breast cancer cells. J Zhejiang Univ Sci B 10 (2009), 796–804.