AlbertFWKruglyakL.2015. The role of regulatory variation in complex traits and disease. Nat Rev Genet. 16(4):197–212.
2.
AllaghKPShamannaBRMurthyGVNessARDoylePNeogiSBPantHB; Wellcome Trust- PHFI Folic Acid project team. 2015. Birth prevalence of neural tube defects and orofacial clefts in India: a systematic review and meta-analysis. PLoS One. 10(3):e0118961.
3.
BeatyTHMarazitaMLLeslieEJ.2016. Genetic factors influencing risk to orofacial clefts: today’s challenges and tomorrow’s opportunities. F1000Res. 5:2800.
4.
ButaliAAdeyemoWLMosseyPAOlasojiHOOnahIIAdebolaAEfunkoyaEAkintububoAJamesOAdeosunOOet al.; The Nigeriacran Collaboration. 2014. Prevalence of orofacial clefts in Nigeria. Cleft Palate Craniofac J. 51(3):320–325.
5.
HaoKBosséYNickleDCParéPDPostmaDSLavioletteMSandfordAHackettTLDaleyDHoggJCet al. 2012. Lung eQTLs to help reveal the molecular underpinnings of asthma. PLoS Genet. 8(11):e1003029.
6.
IPDTOC Working Group. 2011. Prevalence at birth of cleft lip with or without cleft palate: data from the International Perinatal Database of Typical Oral Clefts (IPDTOC). Cleft Palate Craniofac J. 48(1):66–81.
7.
LauWAndrewTManiatisN.2017. High-resolution genetic maps identify multiple type 2 diabetes loci at regulatory hotspots in African Americans and Europeans. Am J Hum Genet. 100(5):803–816.
8.
LiQSeoJHStrangerBMcKennaAPe’erILaframboiseTBrownMTyekuchevaSFreedmanML. 2013. Integrative eQTL-based analyses reveal the biology of breast cancer risk loci. Cell. 152(3):633–641.
Passos-BuenoMRMosottiCBritoLNicaALudwigKNunesKMalcherCSavastanoCFerreiraSKobayashiGet al. 2017. MRPL53, a new candidate gene for orofacial clefting identified using an eQTL app. J Dent Res. In press. doi:10.1177/0022034517735806
11.
ZouFChaiHSYounkinCSAllenMCrookJPankratzVSCarrasquilloMMRowleyCNNairAAMiddhaSet al. 2012. Brain expression genome-wide association study (eGWAS) identifies human disease-associated variants. PLoS Genet. 8(6):e1002707.