Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 968062

CRIBS cohort: a base for family-based disease risk prediction.


Bočkor, Luka; Dolanc, Ivan; Carić, Tonko; Šarac, Jelena; Novokmet, Natalija; Čoklo, Miran; Missoni, Saša
CRIBS cohort: a base for family-based disease risk prediction. // Book of Abstracts EAA 2018.
Odense, Danska, 2018. str. 18-19 (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 968062 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
CRIBS cohort: a base for family-based disease risk prediction.

Autori
Bočkor, Luka ; Dolanc, Ivan ; Carić, Tonko ; Šarac, Jelena ; Novokmet, Natalija ; Čoklo, Miran ; Missoni, Saša

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts EAA 2018. / - , 2018, 18-19

Skup
21st Congress of the European Anthropological Association

Mjesto i datum
Odense, Danska, 22.08.2018. - 25.08.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Birth cohorts, genetic variants, metabolic syndrome, disease risk prediction

Sažetak
During the last decade it has become increasingly evident that genetic variants can explain only a portion of individual's susceptibility to non-communicable complex diseases. The spotlight of research therefore shifted to mechanisms of epigenetic modifications as central players in gene- environment interplay. The transgenerational propagation of both genetic variants and epigenetic programming can contribute to an increased risk of complex diseases. In this work we are presenting data of 150 mother-child dyads collected within the longitudinal CRIBS study focusing on the main constituents of the metabolic syndrome (cardiovascular diseases and obesity), but also other diseases that emerge in family history. We show incidence of diseases in mother’s families, biochemical parameters of mothers related to diseases and a plan of risk prediction and possible interventions based on environ-mental exposure and hereditary factors in mothers and their offspring.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Kliničke medicinske znanosti, Etnologija i antropologija



POVEZANOST RADA


Projekti:
HRZZ-UIP-2014-09-6598 - Kohortna studija rođenih na istočnojadranskim otocima (CRIBS) (Missoni, Saša, HRZZ - 2014-09) ( CroRIS)

Ustanove:
Institut za antropologiju

Profili:

Avatar Url Ivan Dolanc (autor)

Avatar Url Saša Missoni (autor)

Avatar Url Miran Čoklo (autor)

Avatar Url Jelena Šarac (autor)

Avatar Url Natalija Novokmet (autor)

Avatar Url Luka Bočkor (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Bočkor, Luka; Dolanc, Ivan; Carić, Tonko; Šarac, Jelena; Novokmet, Natalija; Čoklo, Miran; Missoni, Saša
CRIBS cohort: a base for family-based disease risk prediction. // Book of Abstracts EAA 2018.
Odense, Danska, 2018. str. 18-19 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Bočkor, L., Dolanc, I., Carić, T., Šarac, J., Novokmet, N., Čoklo, M. & Missoni, S. (2018) CRIBS cohort: a base for family-based disease risk prediction.. U: Book of Abstracts EAA 2018..
@article{article, author = {Bo\v{c}kor, Luka and Dolanc, Ivan and Cari\'{c}, Tonko and \v{S}arac, Jelena and Novokmet, Natalija and \v{C}oklo, Miran and Missoni, Sa\v{s}a}, year = {2018}, pages = {18-19}, keywords = {Birth cohorts, genetic variants, metabolic syndrome, disease risk prediction}, title = {CRIBS cohort: a base for family-based disease risk prediction.}, keyword = {Birth cohorts, genetic variants, metabolic syndrome, disease risk prediction}, publisherplace = {Odense, Danska} }
@article{article, author = {Bo\v{c}kor, Luka and Dolanc, Ivan and Cari\'{c}, Tonko and \v{S}arac, Jelena and Novokmet, Natalija and \v{C}oklo, Miran and Missoni, Sa\v{s}a}, year = {2018}, pages = {18-19}, keywords = {Birth cohorts, genetic variants, metabolic syndrome, disease risk prediction}, title = {CRIBS cohort: a base for family-based disease risk prediction.}, keyword = {Birth cohorts, genetic variants, metabolic syndrome, disease risk prediction}, publisherplace = {Odense, Danska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font