Table 1 Phenotypes with the highest heritability in each data type estimated by the MPCH method (all time-to-event phenotypes are calculated as time or age since birth dates)

From: Computationally efficient methods for estimating phenome—wide coheritability of multi-type phenotypes using biobank data

Type

Phenotype

\({\widehat{h}}_{kk}^{2}\)

95% CI

Continuous

Standing height

0.748

(0.743, 0.752)

Continuous

Lipoprotein A

0.731

(0.729, 0.733)

Continuous

3mm weak meridian (left)

0.719

(0.712, 0.726)

Continuous

3mm weak meridian (right)

0.673

(0.463, 0.831)

Continuous

avMSE

0.580

(0.513, 0.644)

Binary

Ever smoked

0.402

(0.342, 0.466)

Binary

Hypertensive disease

0.357

(0.315, 0.401)

Binary

Ever unenthusiastic / disinterested for a whole week

0.339

(0.268, 0.419)

Binary

Disorders of thyroid gland

0.291

(0.253, 0.333)

Binary

Chronic obstructive pulmonary disease, bronchiectasis, asthma

0.284

(0.236, 0.336)

Ordinal

Hair color (natural, before graying)

0.488

(0.480, 0.497)

Ordinal

Skin color

0.475

(0.457, 0.493)

Ordinal

Felt hated by family member as a child

0.341

(0.258, 0.435)

Ordinal

Frequency of unenthusiasm / disinterest in last 2 weeks

0.274

(0.164, 0.421)

Ordinal

3mm regularity index for irregular astigmatism level (right)

0.247

(0.231, 0.263)

Time-to-event

Age asthma diagnosed

0.317

(0.308, 0.326)

Time-to-event

Date of chronic obstructive pulmonary disease report

0.265

(0.249, 0.281)

Time-to-event

Age diabetes diagnosed

0.257

(0.247, 0.267)

Time-to-event

Date of myocardial infarction

0.235

(0.180, 0.301)

Time-to-event

Date of STEMI

0.225

(0.111, 0.403)